From 98d2f16c9ff9c8687addc27ae49b91928db4badb Mon Sep 17 00:00:00 2001 From: Ankit Master Date: Tue, 7 Oct 2025 10:46:34 -0700 Subject: [PATCH 01/80] feat: including prefetch_file flag --- src/megatron/energon/epathlib/epath.py | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/src/megatron/energon/epathlib/epath.py b/src/megatron/energon/epathlib/epath.py index 74ae9729..2905467f 100644 --- a/src/megatron/energon/epathlib/epath.py +++ b/src/megatron/energon/epathlib/epath.py @@ -108,22 +108,29 @@ def _internal_str_path(self) -> str: return str(self.internal_path) @overload - def open(self, mode: Literal["r", "w"] = "r", block_size: Optional[int] = None) -> TextIO: ... + def open( + self, mode: Literal["r", "w"] = "r", block_size: Optional[int] = None, prefetch_file: bool = False + ) -> TextIO: ... @overload - def open(self, mode: Literal["rb", "wb"], block_size: Optional[int] = None) -> BinaryIO: ... + def open( + self, mode: Literal["rb", "wb"], block_size: Optional[int] = None, prefetch_file: bool = False + ) -> BinaryIO: ... def open( - self, mode: Literal["r", "rb", "w", "wb"] = "r", block_size: Optional[int] = None + self, + mode: Literal["r", "rb", "w", "wb"] = "r", + block_size: Optional[int] = None, + prefetch_file: bool = False, ) -> Union[TextIO, BinaryIO]: - return self.fs.open(self._internal_str_path, mode) + return self.fs.open(self._internal_str_path, mode, prefetch_file=prefetch_file) def read_text(self) -> str: - with self.open() as f: + with self.open(prefetch_file=True) as f: return f.read() def read_bytes(self) -> bytes: - with self.open("rb") as f: + with self.open("rb", prefetch_file=True) as f: return f.read() def write_text(self, text: str) -> None: From 88ef2a02b17a6c8a9659ba1c1d67b9f3c3c4daf3 Mon Sep 17 00:00:00 2001 From: Ankit Master Date: Tue, 7 Oct 2025 11:04:59 -0700 Subject: [PATCH 02/80] updated msc version --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d41d16ec..8e6ba33c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ dependencies = [ "click", "dataslots; python_version<'3.10'", "mfusepy", - "multi-storage-client>=0.18.0", + "multi-storage-client>=0.31.0", "numpy", "pillow>=10.0.1", # WEBP vulnerability fixed starting from 10.0.1 "pyyaml", From d58b26e7297435c1bbff20a7a10e87d896b90eba Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 09:14:29 +0100 Subject: [PATCH 03/80] Update msc to allow huggingface --- pyproject.toml | 6 +- uv.lock | 3342 +++++++++++++++++++++++++----------------------- 2 files changed, 1782 insertions(+), 1566 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d41d16ec..97313850 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ dependencies = [ "click", "dataslots; python_version<'3.10'", "mfusepy", - "multi-storage-client>=0.18.0", + 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+194,14 @@ def test_multi_storage_client(self): # Test move and delete p4 = EPath("msc://default/tmp/random_file_0001") - p4.unlink() + if p4.is_file(): + p4.unlink() with p4.open("w") as fp: fp.write("*****") assert p4.is_file() p5 = EPath("msc://default/tmp/random_file_0002") - p5.unlink() + if p5.is_file(): + p5.unlink() assert p5.is_file() is False p4.move(p5) assert p5.is_file() From 04fdcb9a25aeef4815603936b8fd45dfdce967d8 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 09:44:52 +0100 Subject: [PATCH 05/80] Remove unused dependency --- pyproject.toml | 1 - uv.lock | 1 - 2 files changed, 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 97313850..e646cb47 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,6 @@ classifiers = [ dependencies = [ "braceexpand", "click", - "dataslots; python_version<'3.10'", "mfusepy", "multi-storage-client>=0.33.0", "numpy", diff --git a/uv.lock b/uv.lock index 6cbc8aa3..d54856cf 100644 --- a/uv.lock +++ b/uv.lock @@ -1212,7 +1212,6 @@ requires-dist = [ { name = "bitstring", marker = "extra == 'av-decode'", specifier = ">=4.2.3" }, { name = "braceexpand" }, { name = "click" }, - { name = "dataslots", marker = "python_full_version < '3.10'" }, { name = "ebmlite", marker = "extra == 'av-decode'", specifier = ">=3.3.1" }, { name = "filetype", marker = "extra == 'av-decode'", specifier = ">=1.2.0" }, { name = "filetype", marker = "extra == 'guess-content'", specifier = ">=1.0.0" }, From 185694dc42d6547fdc99bf132ee1044ae3363542 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 12:38:42 +0100 Subject: [PATCH 06/80] Format --- src/megatron/energon/epathlib/epath.py | 10 ++++++++-- tests/test_av_decoder.py | 12 ++++++------ 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/src/megatron/energon/epathlib/epath.py b/src/megatron/energon/epathlib/epath.py index 2905467f..9f70e4bf 100644 --- a/src/megatron/energon/epathlib/epath.py +++ b/src/megatron/energon/epathlib/epath.py @@ -109,12 +109,18 @@ def _internal_str_path(self) -> str: @overload def open( - self, mode: Literal["r", "w"] = "r", block_size: Optional[int] = None, prefetch_file: bool = False + self, + mode: Literal["r", "w"] = "r", + block_size: Optional[int] = None, + prefetch_file: bool = False, ) -> TextIO: ... @overload def open( - self, mode: Literal["rb", "wb"], block_size: Optional[int] = None, prefetch_file: bool = False + self, + mode: Literal["rb", "wb"], + block_size: Optional[int] = None, + prefetch_file: bool = False, ) -> BinaryIO: ... def open( diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 6564d866..36cd6f9e 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -222,29 +222,29 @@ def test_video_audio_sync(self): def test_pickle_decoder(self): """Test AVDecoder on a video file can be pickled and unpickled.""" av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) - + # Get metadata from original decoder original_metadata = av_decoder.get_metadata() - + # Pickle the decoder pickled_data = pickle.dumps(av_decoder) - + # Unpickle the decoder unpickled_decoder = pickle.loads(pickled_data) - + # Verify metadata matches unpickled_metadata = unpickled_decoder.get_metadata() assert unpickled_metadata == original_metadata, ( f"Unpickled metadata {unpickled_metadata} does not match original {original_metadata}" ) - + # Verify we can still decode frames from the unpickled decoder video_tensor = get_single_frames_uniform( av_decoder=unpickled_decoder, num_frames=16, video_out_frame_size=(64, 64), ) - + # Check that we got the expected shape assert video_tensor.shape == (16, 3, 64, 64), ( f"Expected shape (16, 3, 64, 64), got {video_tensor.shape}" From 0881163c085857ed49cf8e5a91a23fab48d866f6 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 14:18:50 +0100 Subject: [PATCH 07/80] Implement proper error handler to task encoder --- src/megatron/energon/task_encoder/base.py | 23 ++++++ src/megatron/energon/task_encoder/loader.py | 8 ++ tests/test_dataset.py | 82 +++++++++++++++++++++ 3 files changed, 113 insertions(+) diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index e75d8220..11c662d0 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -374,6 +374,9 @@ class TaskEncoder(ABC, Generic[T_sample, T_encoded_sample, T_raw_batch, T_batch] #: The decoder to use for decoding samples. Set manually as needed to override options. decoder: Optional[SampleDecoder] = SampleDecoder() + #: The error handler to use for handling exceptions during data processing. Set manually to override the default behavior. + error_handler: Optional[Callable[[Exception, Any, Sequence[SourceInfo]], None]] = None + @stateless def cook_crude_sample( self, @@ -579,6 +582,18 @@ def pack_selected_samples(self, samples: List[T_encoded_sample]) -> T_encoded_sa """ raise NotImplementedError("Packing only effective when overridden.") + def _build_error_handler(self) -> Callable[[Exception, Any, Sequence[SourceInfo]], None]: + """Get the error handler to use, defaulting to log_exception if not set. + + Returns: + The error handler function. + """ + if self.error_handler is not None: + return self.error_handler + from megatron.energon.wrappers._log_exception import log_exception + + return log_exception + def build_batch( self, dataset: SavableDataset[T_encoded_sample], @@ -616,6 +631,7 @@ def build_batch( if post_encode_fn is None else get_stateless(post_encode_fn), worker_config=worker_config, + error_handler=self._build_error_handler(), pre_packer_failure_tolerance=get_failure_tolerance( self.select_samples_to_pack, self.__default_failure_tolerance__ ), @@ -631,6 +647,7 @@ def build_batch( dataset, self.postencode_sample, worker_config=worker_config, + error_handler=self._build_error_handler(), stateless_map_fn=get_stateless(self.postencode_sample), failure_tolerance=get_failure_tolerance( self.postencode_sample, self.__default_failure_tolerance__ @@ -645,6 +662,7 @@ def build_batch( batcher=self.batch, drop_last=batch_drop_last, worker_config=worker_config, + error_handler=self._build_error_handler(), failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -655,6 +673,7 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, + error_handler=self._build_error_handler(), stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -671,6 +690,7 @@ def build_batch( batcher_stateless=get_stateless(self.batch), drop_last=batch_drop_last, worker_config=worker_config, + error_handler=self._build_error_handler(), failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -681,6 +701,7 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, + error_handler=self._build_error_handler(), stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -735,6 +756,7 @@ def _get_primary_aux(): dataset, cook_fn, worker_config=worker_config, + error_handler=self._build_error_handler(), stateless_map_fn=True, map_fn_config=dict( cookers=[ @@ -786,6 +808,7 @@ def build_encode_sample( dataset, pre_encode_fn, worker_config=worker_config, + error_handler=self._build_error_handler(), stateless_map_fn=get_stateless(pre_encode_fn), failure_tolerance=get_failure_tolerance( pre_encode_fn, self.__default_failure_tolerance__ diff --git a/src/megatron/energon/task_encoder/loader.py b/src/megatron/energon/task_encoder/loader.py index 07d17da4..2e5aa8ac 100644 --- a/src/megatron/energon/task_encoder/loader.py +++ b/src/megatron/energon/task_encoder/loader.py @@ -51,6 +51,14 @@ def _split_deprecated_decoder_kwargs(kwargs: dict, task_encoder: TaskEncoder) -> if "video_decode_audio" in kwargs: decoder_kwargs["video_decode_audio"] = kwargs.pop("video_decode_audio") + if kwargs.get("handler", None) is not None: + warn_deprecated( + "The error_handler kwarg is deprecated and will be removed in a future version. Instead, only use the error_handler directly in your task encoder." + ) + if getattr(task_encoder, "error_handler", None) is not None: + # Use the error handler from the task encoder for the sample loader + kwargs["handler"] = task_encoder.error_handler + if not auto_decode: task_encoder.decoder = None elif len(decoder_kwargs) > 0: diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 43567c9d..59800ec0 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -1769,6 +1769,88 @@ def test_info_captioning_dataset(self): assert "train" in result.stdout assert result.exit_code == 0, "Preview failed, see output" + def test_custom_error_handler(self): + """Test that custom error handlers work correctly in TaskEncoder.""" + torch.manual_seed(42) + + # Track error handler calls + error_calls = [] + + def custom_error_handler(exception, sample, sources=None): + """Custom error handler that tracks calls.""" + error_calls.append( + { + "exception": exception, + "sample_key": getattr(sample, "__key__", None), + "exception_type": type(exception).__name__, + } + ) + + class ErrorProneTaskEncoder(DefaultTaskEncoder): + def __init__(self, error_handler=None): + super().__init__(raw_batch_type=CaptioningBatch) + if error_handler: + self.error_handler = error_handler + + @stateless + def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: + # Intentionally raise an error for specific samples to test error handling + if "000035" in sample.__key__: + raise ValueError(f"Intentional error for {sample.__key__}") + return EncodedCaptioningSample.derive_from( + sample, + image=sample.image, + caption=torch.frombuffer(bytearray(sample.caption.encode()), dtype=torch.uint8), + ) + + # Test with custom error handler + task_encoder = ErrorProneTaskEncoder(error_handler=custom_error_handler) + + loader = get_loader( + get_train_dataset( + self.dataset_path, + batch_size=5, + worker_config=no_worker_config, + shuffle_buffer_size=None, + max_samples_per_sequence=None, + virtual_epoch_length=50, + task_encoder=task_encoder, + ) + ) + + # Iterate through the loader - errors should be handled by custom handler + batches = [] + for i, batch in enumerate(loader): + batches.append(batch) + if i >= 9: # Get 10 batches (50 samples total) + break + + # Verify that the error handler was called + assert len(error_calls) > 0, "Error handler should have been called" + + # Verify that the error was for the right sample + assert any("000035" in call["sample_key"] for call in error_calls), ( + f"Error should have been for sample 000035, got: {error_calls}" + ) + + # Verify the exception type + assert all(call["exception_type"] == "ValueError" for call in error_calls), ( + "All errors should be ValueError" + ) + + # Test that different encoders can have different error handlers + error_calls_2 = [] + + def second_error_handler(exception, sample, sources=None): + error_calls_2.append({"sample_key": getattr(sample, "__key__", None)}) + + task_encoder_2 = ErrorProneTaskEncoder(error_handler=second_error_handler) + + # Verify that the two encoders have different error handlers + assert task_encoder._build_error_handler() != task_encoder_2._build_error_handler(), ( + "Different task encoders should have different error handlers" + ) + if __name__ == "__main__": unittest.main() From bc3386e7e9cfebb421b66d99760c892ea9f48fee Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 14:18:50 +0100 Subject: [PATCH 08/80] Next suggestion --- src/megatron/energon/task_encoder/base.py | 36 +++++++++------------ tests/test_dataset.py | 38 +++++++---------------- 2 files changed, 25 insertions(+), 49 deletions(-) diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index 11c662d0..7086e1f9 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -55,6 +55,7 @@ PackingDataset, ShuffleBufferDataset, ) +from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.repeat_dataset import RepeatDataset T = TypeVar("T") @@ -374,9 +375,6 @@ class TaskEncoder(ABC, Generic[T_sample, T_encoded_sample, T_raw_batch, T_batch] #: The decoder to use for decoding samples. Set manually as needed to override options. decoder: Optional[SampleDecoder] = SampleDecoder() - #: The error handler to use for handling exceptions during data processing. Set manually to override the default behavior. - error_handler: Optional[Callable[[Exception, Any, Sequence[SourceInfo]], None]] = None - @stateless def cook_crude_sample( self, @@ -582,17 +580,11 @@ def pack_selected_samples(self, samples: List[T_encoded_sample]) -> T_encoded_sa """ raise NotImplementedError("Packing only effective when overridden.") - def _build_error_handler(self) -> Callable[[Exception, Any, Sequence[SourceInfo]], None]: - """Get the error handler to use, defaulting to log_exception if not set. - - Returns: - The error handler function. - """ - if self.error_handler is not None: - return self.error_handler - from megatron.energon.wrappers._log_exception import log_exception - - return log_exception + def error_handler( + self, exception: Exception, sample: Any, sources: Optional[Sequence[SourceInfo]] = None + ): + """Handle an exception during data processing.""" + log_exception(exception, sample, sources) def build_batch( self, @@ -631,7 +623,7 @@ def build_batch( if post_encode_fn is None else get_stateless(post_encode_fn), worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, pre_packer_failure_tolerance=get_failure_tolerance( self.select_samples_to_pack, self.__default_failure_tolerance__ ), @@ -647,7 +639,7 @@ def build_batch( dataset, self.postencode_sample, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, stateless_map_fn=get_stateless(self.postencode_sample), failure_tolerance=get_failure_tolerance( self.postencode_sample, self.__default_failure_tolerance__ @@ -662,7 +654,7 @@ def build_batch( batcher=self.batch, drop_last=batch_drop_last, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -673,7 +665,7 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -690,7 +682,7 @@ def build_batch( batcher_stateless=get_stateless(self.batch), drop_last=batch_drop_last, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -701,7 +693,7 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -756,7 +748,7 @@ def _get_primary_aux(): dataset, cook_fn, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, stateless_map_fn=True, map_fn_config=dict( cookers=[ @@ -808,7 +800,7 @@ def build_encode_sample( dataset, pre_encode_fn, worker_config=worker_config, - error_handler=self._build_error_handler(), + error_handler=self.error_handler, stateless_map_fn=get_stateless(pre_encode_fn), failure_tolerance=get_failure_tolerance( pre_encode_fn, self.__default_failure_tolerance__ diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 59800ec0..9e60651e 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -1776,21 +1776,18 @@ def test_custom_error_handler(self): # Track error handler calls error_calls = [] - def custom_error_handler(exception, sample, sources=None): - """Custom error handler that tracks calls.""" - error_calls.append( - { - "exception": exception, - "sample_key": getattr(sample, "__key__", None), - "exception_type": type(exception).__name__, - } - ) - class ErrorProneTaskEncoder(DefaultTaskEncoder): - def __init__(self, error_handler=None): + def __init__(self): super().__init__(raw_batch_type=CaptioningBatch) - if error_handler: - self.error_handler = error_handler + + def error_handler(self, exception, sample, sources=None): + error_calls.append( + { + "exception": exception, + "sample_key": getattr(sample, "__key__", None), + "exception_type": type(exception).__name__, + } + ) @stateless def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: @@ -1804,7 +1801,7 @@ def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: ) # Test with custom error handler - task_encoder = ErrorProneTaskEncoder(error_handler=custom_error_handler) + task_encoder = ErrorProneTaskEncoder() loader = get_loader( get_train_dataset( @@ -1838,19 +1835,6 @@ def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: "All errors should be ValueError" ) - # Test that different encoders can have different error handlers - error_calls_2 = [] - - def second_error_handler(exception, sample, sources=None): - error_calls_2.append({"sample_key": getattr(sample, "__key__", None)}) - - task_encoder_2 = ErrorProneTaskEncoder(error_handler=second_error_handler) - - # Verify that the two encoders have different error handlers - assert task_encoder._build_error_handler() != task_encoder_2._build_error_handler(), ( - "Different task encoders should have different error handlers" - ) - if __name__ == "__main__": unittest.main() From 43cabd56d46b0d648f36204fed8259f4f097beb5 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 3 Nov 2025 15:13:16 +0100 Subject: [PATCH 09/80] Fix test --- tests/test_metadataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_metadataset.py b/tests/test_metadataset.py index a6ec0b14..3378574e 100644 --- a/tests/test_metadataset.py +++ b/tests/test_metadataset.py @@ -757,7 +757,7 @@ def new_loader(): "batcher": "megatron.energon.task_encoder.base.DefaultTaskEncoder.batch", "batcher_stateless": True, "drop_last": False, - "error_handler": "megatron.energon.wrappers._log_exception.log_exception", + "error_handler": "megatron.energon.task_encoder.base.TaskEncoder.error_handler", "worker_config": wrk_cfg, "dataset": { "type": "MapDataset", From dffdb1ac0caf5544f01c8ae0bca0b6489eb7081b Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 4 Nov 2025 16:52:54 +0100 Subject: [PATCH 10/80] Move exception handler to worker config. Implement better error logging. Centralize error handling --- src/megatron/energon/deprecation.py | 21 ++ src/megatron/energon/epathlib/epath.py | 2 +- src/megatron/energon/errors.py | 281 ++++++++++++------ src/megatron/energon/flavors/captioning.py | 2 +- src/megatron/energon/flavors/image.py | 2 +- .../energon/flavors/image_classification.py | 2 +- src/megatron/energon/flavors/interleaved.py | 2 +- .../flavors/jsonl/crude_jsonl_dataset.py | 11 - .../energon/flavors/multichoice_vqa.py | 2 +- src/megatron/energon/flavors/ocr.py | 2 +- .../energon/flavors/similarity_interleaved.py | 2 +- src/megatron/energon/flavors/text.py | 2 +- src/megatron/energon/flavors/vid_qa.py | 2 +- src/megatron/energon/flavors/vqa.py | 2 +- src/megatron/energon/flavors/vqa_and_ocr.py | 2 +- .../flavors/webdataset/base_webdataset.py | 14 - .../flavors/webdataset/error_handler.py | 57 ---- .../flavors/webdataset/field_access.py | 9 +- .../flavors/webdataset/joined_webdataset.py | 16 +- .../flavors/webdataset/standard_webdataset.py | 1 - src/megatron/energon/loader.py | 2 +- .../energon/metadataset/metadataset.py | 2 +- src/megatron/energon/sample_utils.py | 208 +++++++++++++ src/megatron/energon/savable_loader.py | 2 +- src/megatron/energon/source_info.py | 20 ++ src/megatron/energon/task_encoder/base.py | 27 +- src/megatron/energon/task_encoder/loader.py | 28 +- src/megatron/energon/worker.py | 12 +- .../energon/wrappers/_log_exception.py | 28 -- .../energon/wrappers/batch_dataset.py | 70 +---- .../energon/wrappers/group_batch_dataset.py | 70 ++--- .../energon/wrappers/iter_map_dataset.py | 83 ++---- .../energon/wrappers/log_sample_dataset.py | 44 +-- src/megatron/energon/wrappers/map_dataset.py | 66 +--- .../energon/wrappers/packing_dataset.py | 152 +++------- tests/test_dataset.py | 67 ++++- 36 files changed, 668 insertions(+), 647 deletions(-) create mode 100644 src/megatron/energon/deprecation.py delete mode 100644 src/megatron/energon/flavors/webdataset/error_handler.py create mode 100644 src/megatron/energon/sample_utils.py delete mode 100644 src/megatron/energon/wrappers/_log_exception.py diff --git a/src/megatron/energon/deprecation.py b/src/megatron/energon/deprecation.py new file mode 100644 index 00000000..f55b5e04 --- /dev/null +++ b/src/megatron/energon/deprecation.py @@ -0,0 +1,21 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +import warnings +from functools import wraps + + +def warn_deprecated(reason, stacklevel=2): + warnings.warn(reason, FutureWarning, stacklevel=stacklevel) + + +def deprecated(reason): + def decorator(func): + @wraps(func) + def wrapper(*args, **kwargs): + warn_deprecated(f"{func.__name__} is deprecated: {reason}", stacklevel=3) + return func(*args, **kwargs) + + return wrapper + + return decorator diff --git a/src/megatron/energon/epathlib/epath.py b/src/megatron/energon/epathlib/epath.py index 9f70e4bf..55c890ca 100644 --- a/src/megatron/energon/epathlib/epath.py +++ b/src/megatron/energon/epathlib/epath.py @@ -9,7 +9,7 @@ import multistorageclient as msc -from megatron.energon.errors import warn_deprecated +from megatron.energon.deprecation import warn_deprecated class EPath: diff --git a/src/megatron/energon/errors.py b/src/megatron/energon/errors.py index a6464dd3..7f11c57e 100644 --- a/src/megatron/energon/errors.py +++ b/src/megatron/energon/errors.py @@ -1,83 +1,19 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -import dataclasses -import itertools -import warnings -from functools import wraps -from typing import Any, Type, TypeVar, Union - -import numpy as np -import torch - - -def compact_str( - value: Union[dict, list, str, int, bool, None], - depth: int = 3, - max_items: int = 10, - max_str_len: int = 50, -) -> str: - """ - Compact representation of a value as a string. +from contextlib import contextmanager +from typing import Any, Callable, Generator, Type, TypeVar - Args: - value: The value to compact - depth: The maximum depth to compact - max_items: The maximum number of items to show in a list or dict - max_str_len: The maximum string length to show +from megatron.energon.sample_utils import format_sample_compact, format_sample_detailed +from megatron.energon.source_info import SourceInfo, get_source_info - Returns: The printable string - """ - if isinstance(value, dict): - if depth <= 0: - return "{...}" - return ( - "{" - + ", ".join( - ( - f"{k}: {v!r}" - if isinstance(k, str) and k.startswith("__") - else f"{k}: {compact_str(v, depth - 1, max_items, max_str_len)}" - ) - for k, v in itertools.islice(value.items(), max_items) - ) - + "}" - ) - elif isinstance(value, list): - if depth <= 0: - return "[...]" - return ( - "[" - + ", ".join( - compact_str(v, depth - 1, max_items, max_str_len) for v in value[:max_items] - ) - + "]" - ) - elif isinstance(value, tuple): - if depth <= 0: - return "(...)" - return ( - "(" - + ", ".join( - compact_str(v, depth - 1, max_items, max_str_len) for v in value[:max_items] - ) - + ")" - ) - elif isinstance(value, str): - if len(value) > max_str_len: - return repr(value[:max_str_len] + "...") - return repr(value) - elif isinstance(value, torch.Tensor): - return f"Tensor(shape={value.shape}, dtype={value.dtype}, device={value.device})" - elif isinstance(value, np.ndarray): - return f"np.ndarray(shape={value.shape}, dtype={value.dtype})" - elif dataclasses.is_dataclass(value): - return f"{value.__class__.__name__}({', '.join(f'{field.name}={compact_str(getattr(value, field.name))}' for field in dataclasses.fields(value))})" - else: - return compact_str(repr(value), depth, max_items, max_str_len) +T = TypeVar("T") -T = TypeVar("T") +class SkipSample(Exception): + """Raise this exception in any processing function to skip the current sample.""" + + pass class SampleException(ValueError): @@ -89,7 +25,7 @@ def from_sample_key(cls: Type[T], sample_key: str) -> T: def from_sample(cls: Type[T], sample: Any, message: str = "") -> T: if message: message = f": {message}" - return cls(f"Sample {compact_str(sample)} failed{message}") + return cls(f"Sample {format_sample_compact(sample)} failed{message}") class FatalSampleError(SampleException): @@ -97,22 +33,6 @@ class FatalSampleError(SampleException): pass -def warn_deprecated(reason, stacklevel=2): - warnings.warn(reason, FutureWarning, stacklevel=stacklevel) - - -def deprecated(reason): - def decorator(func): - @wraps(func) - def wrapper(*args, **kwargs): - warn_deprecated(f"{func.__name__} is deprecated: {reason}", stacklevel=3) - return func(*args, **kwargs) - - return wrapper - - return decorator - - SYSTEM_EXCEPTIONS = ( SystemError, SyntaxError, @@ -126,3 +46,184 @@ def wrapper(*args, **kwargs): UnboundLocalError, FatalSampleError, ) + + +class ErrorContext: + """Tracks consecutive errors and enforces error tolerance limits. + + This class helps prevent infinite error loops by tracking consecutive failures + and raising a FatalSampleError when a tolerance threshold is exceeded. + + Example: + error_ctx = ErrorContext( + name="MapDataset.map_fn", + handler=self.worker_config.global_error_handler + tolerance=100, + ) + + with error_ctx.handle_errors(sample, get_source_info): + result = process_sample(sample) + """ + + name: str + tolerance: int + handler: Callable[[Exception, Any, list["SourceInfo"] | None], None] + + _consecutive_failures: int + + def __init__( + self, + name: str, + handler: Callable[[Exception, Any, list["SourceInfo"] | None], None], + tolerance: int = 100, + ): + """Initialize error context. + + Args: + name: Name of the operation being tracked (for error messages). + handler: Error handler function to call on exceptions. Takes (exception, sample, sources). + If None, exceptions will be raised after incrementing the counter. + tolerance: Maximum number of consecutive failures before raising FatalSampleError. + Set to 0 to disable tolerance checking. + """ + self.name = name + self.tolerance = tolerance + self.handler = handler + self._consecutive_failures = 0 + + def reset(self) -> None: + """Reset the consecutive failures counter.""" + self._consecutive_failures = 0 + + @contextmanager + def handle_errors( + self, + sample: Any, + ) -> Generator[None, None, None]: + """Context manager for handling exceptions during sample processing. + + Automatically tracks consecutive failures and resets on success. + + Args: + sample: The sample being processed (used in error reporting). + """ + try: + yield + # Success - reset counter + self._consecutive_failures = 0 + except GeneratorExit: + raise + except SkipSample: + pass + except SYSTEM_EXCEPTIONS as e: + raise FatalSampleError.from_sample( + sample, f"{self.name} failed due to system exception: {e}." + ) + except Exception as e: + print(f"Except {e} in {self.name}") + # Call the error handler if provided + if self.handler is not None: + # Call the error handler + self.handler(e, sample, get_source_info(sample)) + + # Increment counter (may raise FatalSampleError if tolerance exceeded) + self._consecutive_failures += 1 + + if self._consecutive_failures > 1: + print( + f"ErrorContext {self.name} failed {self._consecutive_failures}/{self.tolerance} times in a row." + ) + if self.tolerance > 0 and self._consecutive_failures >= self.tolerance: + raise FatalSampleError.from_sample( + sample, + ( + f"{self.name} failed {self._consecutive_failures} times in a row. " + f"Likely your code or dataset are broken." + ), + ) + + def __repr__(self) -> str: + return f"ErrorContext(name={self.name!r}, tolerance={self.tolerance}, count={self._consecutive_failures})" + + +@contextmanager +def handle_restore_errors( + error_handler: Callable[[Exception, Any, list["SourceInfo"] | None], None], + sample: Any, +) -> Generator[None, None, None]: + """Context manager for handling exceptions during sample restoration. + + Args: + error_handler: Function to call when an exception occurs. Takes (exception, sample, sources). + sample: The sample being restored. + """ + try: + yield + except SkipSample: + # Unexpected skip sample + try: + raise ValueError(f"Unexpected skip sample {sample} during restoration.") + except Exception as e: + error_handler(e, sample, get_source_info(sample)) + except GeneratorExit: + # Unexpected skip sample + try: + raise ValueError( + f"Unexpected generator early stopping for sample {sample} during restoration." + ) + except Exception as e: + error_handler(e, sample, get_source_info(sample)) + except SYSTEM_EXCEPTIONS: + raise FatalSampleError.from_sample(sample) + except Exception as e: + error_handler(e, sample, get_source_info(sample)) + + +def log_exception(e: Exception, sample: Any, sources: list["SourceInfo"] | None = None) -> None: + """Error handler that logs exceptions with sample information. + + This function prints the exception traceback, source information if available, + and a smart representation of the failed sample to help with debugging. + + Args: + e: The exception that was raised. + sample: The sample that caused the exception. + sources: Optional list of SourceInfo objects with sample provenance. + """ + import traceback + + traceback.print_exc() + print("-" * 10) + + if sources: + print("Sources:") + for source in sources: + if hasattr(source, "dataset_path"): + print( + f" - {source.dataset_path}[{source.index}] {source.shard_name}{source.file_names!r}" + ) + print("-" * 10) + + sample_str = format_sample_detailed(sample) + print(sample_str) + + print("-" * 10) + + +def reraise_exception( + e: Exception, _sample: Any, _sources: list["SourceInfo"] | None = None +) -> None: + """Error handler that simply reraises the exception. + + This is useful when you want failures to propagate immediately without + any tolerance or logging. + + Args: + e: The exception to reraise. + _sample: The sample (unused). + _sources: Source info (unused). + + Raises: + The original exception. + """ + raise e diff --git a/src/megatron/energon/flavors/captioning.py b/src/megatron/energon/flavors/captioning.py index 449bc290..606ca2c8 100644 --- a/src/megatron/energon/flavors/captioning.py +++ b/src/megatron/energon/flavors/captioning.py @@ -4,9 +4,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/image.py b/src/megatron/energon/flavors/image.py index 7d36a70d..e756ffcc 100644 --- a/src/megatron/energon/flavors/image.py +++ b/src/megatron/energon/flavors/image.py @@ -4,9 +4,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/image_classification.py b/src/megatron/energon/flavors/image_classification.py index ad8764de..fd6debc2 100644 --- a/src/megatron/energon/flavors/image_classification.py +++ b/src/megatron/energon/flavors/image_classification.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/interleaved.py b/src/megatron/energon/flavors/interleaved.py index 10ec8ac6..e9bb921d 100644 --- a/src/megatron/energon/flavors/interleaved.py +++ b/src/megatron/energon/flavors/interleaved.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/jsonl/crude_jsonl_dataset.py b/src/megatron/energon/flavors/jsonl/crude_jsonl_dataset.py index 8358ca11..651315cc 100644 --- a/src/megatron/energon/flavors/jsonl/crude_jsonl_dataset.py +++ b/src/megatron/energon/flavors/jsonl/crude_jsonl_dataset.py @@ -10,13 +10,11 @@ from megatron.energon.flavors.base_dataset import ( BaseCoreDatasetFactory, SavableDataset, - legacy_handler, ) from megatron.energon.flavors.crude import CrudeSample from megatron.energon.flavors.jsonl.ijsonl import IJsonlIndexReader from megatron.energon.flavors.jsonl.jsonl_prepare import JsonlPreparator from megatron.energon.flavors.webdataset.base_webdataset import _print_shard_slices -from megatron.energon.flavors.webdataset.error_handler import ErrorHandler from megatron.energon.flavors.webdataset.sample_loader import ( RawSampleData, WebdatasetSampleLoaderDataset, @@ -26,9 +24,7 @@ DatasetSubset, FilteredSample, ShardInfo, - reraise_exception, ) -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.map_dataset import MapDataset @@ -39,7 +35,6 @@ class CrudeJsonlDatasetFactory( BaseCoreDatasetFactory[CrudeSample], JsonlPreparator, Sharder, - ErrorHandler, ): """ Factory class for creating a crude dataset from JSONL (JSON Lines) files. @@ -66,9 +61,6 @@ def __init__( max_samples_per_sequence: Optional[int] = None, subset: Optional[DatasetSubset] = None, part_filter: Optional[Callable[[str], bool]] = None, - handler: Callable[ - [Exception, Optional[str], Optional[list[SourceInfo]]], None - ] = reraise_exception, ): """ Factory for a jsonl file as a crude dataset. @@ -89,7 +81,6 @@ def __init__( will be sequentially iterated). subset: If specified, the dataset will be subsetted. part_filter: (internal) Function for filtering tar files by dict keys - handler: Exception handler. Args: (exception, key). """ assert self.__sample_type__ is not None, f"Class {type(self)} must define __sample_type__" self.path = path @@ -101,7 +92,6 @@ def __init__( self.max_samples_per_sequence = max_samples_per_sequence self.subset = subset self.part_filter = part_filter - self.handler = legacy_handler(handler) if part_filter is None or part_filter("json"): self._len = IJsonlIndexReader.count_samples(path) else: @@ -157,7 +147,6 @@ def build(self, worker_rotation_offset: int = 0) -> SavableDataset[CrudeSample]: return MapDataset( dataset, self._load_sample_raw, - error_handler=self.error_handler, stateless_map_fn=True, map_fn_config=self.config, worker_config=self.worker_config, diff --git a/src/megatron/energon/flavors/multichoice_vqa.py b/src/megatron/energon/flavors/multichoice_vqa.py index a89c8bba..fe941060 100644 --- a/src/megatron/energon/flavors/multichoice_vqa.py +++ b/src/megatron/energon/flavors/multichoice_vqa.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/ocr.py b/src/megatron/energon/flavors/ocr.py index 35c67857..4ed932d4 100644 --- a/src/megatron/energon/flavors/ocr.py +++ b/src/megatron/energon/flavors/ocr.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/similarity_interleaved.py b/src/megatron/energon/flavors/similarity_interleaved.py index b80bb155..13415198 100644 --- a/src/megatron/energon/flavors/similarity_interleaved.py +++ b/src/megatron/energon/flavors/similarity_interleaved.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/text.py b/src/megatron/energon/flavors/text.py index a3bd498b..e3ad5002 100644 --- a/src/megatron/energon/flavors/text.py +++ b/src/megatron/energon/flavors/text.py @@ -2,9 +2,9 @@ # SPDX-License-Identifier: BSD-3-Clause +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/vid_qa.py b/src/megatron/energon/flavors/vid_qa.py index 89642d23..31fe30b4 100644 --- a/src/megatron/energon/flavors/vid_qa.py +++ b/src/megatron/energon/flavors/vid_qa.py @@ -6,9 +6,9 @@ import torch from megatron.energon.av import AVDecoder +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/vqa.py b/src/megatron/energon/flavors/vqa.py index 33f3bb18..1c2f989f 100644 --- a/src/megatron/energon/flavors/vqa.py +++ b/src/megatron/energon/flavors/vqa.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/vqa_and_ocr.py b/src/megatron/energon/flavors/vqa_and_ocr.py index 00400cd8..63f46486 100644 --- a/src/megatron/energon/flavors/vqa_and_ocr.py +++ b/src/megatron/energon/flavors/vqa_and_ocr.py @@ -5,9 +5,9 @@ import torch +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import DefaultDecoderWebdatasetFactory diff --git a/src/megatron/energon/flavors/webdataset/base_webdataset.py b/src/megatron/energon/flavors/webdataset/base_webdataset.py index 1c84a5b6..2ab86f15 100644 --- a/src/megatron/energon/flavors/webdataset/base_webdataset.py +++ b/src/megatron/energon/flavors/webdataset/base_webdataset.py @@ -12,9 +12,7 @@ from megatron.energon.flavors.base_dataset import ( BaseCoreDatasetFactory, SavableDataset, - legacy_handler, ) -from megatron.energon.flavors.webdataset.error_handler import ErrorHandler from megatron.energon.flavors.webdataset.metadata import WebdatasetMeta from megatron.energon.flavors.webdataset.prepare import WebdatasetPreparator from megatron.energon.flavors.webdataset.sample_loader import ( @@ -26,9 +24,7 @@ DatasetSubset, FilteredSample, ShardInfo, - reraise_exception, ) -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.map_dataset import MapDataset @@ -42,7 +38,6 @@ class BaseWebdatasetFactory( BaseCoreDatasetFactory[T_sample], WebdatasetPreparator, Sharder, - ErrorHandler, Generic[T_sample], ABC, ): @@ -67,9 +62,6 @@ class BaseWebdatasetFactory( subset: Optional[DatasetSubset] part_filter: Optional[Callable[[str], bool]] - handler: Callable[[Exception, Optional[str], Optional[list[SourceInfo]]], None] - - shards: List[ShardInfo] def __init__( self, @@ -84,9 +76,6 @@ def __init__( subset: Optional[DatasetSubset] = None, split_config: Optional[str] = None, part_filter: Optional[Callable[[str], bool]] = None, - handler: Callable[ - [Exception, Optional[str], Optional[list[SourceInfo]]], None - ] = reraise_exception, ): """ Base factory for the webdataset sample loader. @@ -109,7 +98,6 @@ def __init__( subset: If specified, the dataset will be subsetted. split_config: Config file to use for shard split definitions. part_filter: (internal) Function for filtering tar files by dict keys - handler: Exception handler. Args: (exception, key, source_info). """ assert self.__sample_type__ is not None, f"Class {type(self)} must define __sample_type__" wds_meta = WebdatasetMeta.from_config( @@ -127,7 +115,6 @@ def __init__( self.max_samples_per_sequence = max_samples_per_sequence self.subset = subset self.part_filter = part_filter - self.handler = legacy_handler(handler) def __len__(self) -> int: return sum(shard.count for shard in self.shards) @@ -171,7 +158,6 @@ def build(self, worker_rotation_offset: int = 0) -> SavableDataset[T_sample]: return MapDataset( dataset, self._load_sample_raw, - error_handler=self.error_handler, stateless_map_fn=True, map_fn_config=self.config, worker_config=self.worker_config, diff --git a/src/megatron/energon/flavors/webdataset/error_handler.py b/src/megatron/energon/flavors/webdataset/error_handler.py deleted file mode 100644 index f12583a1..00000000 --- a/src/megatron/energon/flavors/webdataset/error_handler.py +++ /dev/null @@ -1,57 +0,0 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. -# SPDX-License-Identifier: BSD-3-Clause - -from typing import Callable, Generic, Optional, Tuple, TypeVar, Union - -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError -from megatron.energon.flavors.base_dataset import Sample -from megatron.energon.flavors.webdataset.structs import FilteredSample, reraise_exception -from megatron.energon.source_info import SourceInfo - -T_sample = TypeVar("T_sample", covariant=True) - - -class ErrorHandler(Generic[T_sample]): - handler: Callable[[Exception, Optional[str], Optional[list[SourceInfo]]], None] = ( - reraise_exception - ) - - def sample_error_handler( - self, e: Exception, sample_key: Optional[str], sources: Optional[list[SourceInfo]] = None - ): - if isinstance(e, SYSTEM_EXCEPTIONS): - raise FatalSampleError(f"Error in sample {sample_key!r}: {e}") from e - - self.handler(e, sample_key, sources) - - def error_handler( - self, - e: Exception, - sample: Union[ - T_sample, - dict, - FilteredSample, - None, - Tuple[Union[T_sample, dict, FilteredSample, None], ...], - ], - ): - if isinstance(sample, dict): - key = sample.get("__key__") - sources = sample.get("__sources__") - elif isinstance(sample, list): - if isinstance(sample[0], dict): - key = ",".join("None" if s is None else s.get("__key__") for s in sample) - sources = [src for s in sample for src in s.get("__sources__", ())] - elif isinstance(sample[0], Sample): - key = ",".join("None" if s is None else s.__key__ for s in sample) - sources = [src for s in sample for src in s.__sources__] - else: - key = None - sources = None - elif isinstance(sample, Sample): - key = sample.__key__ - sources = sample.__sources__ - else: - key = None - sources = None - self.sample_error_handler(e, key, sources) diff --git a/src/megatron/energon/flavors/webdataset/field_access.py b/src/megatron/energon/flavors/webdataset/field_access.py index 4a120d39..a661e915 100644 --- a/src/megatron/energon/flavors/webdataset/field_access.py +++ b/src/megatron/energon/flavors/webdataset/field_access.py @@ -4,7 +4,8 @@ import re from typing import Any, List, Union -from megatron.energon.errors import SampleException, compact_str +from megatron.energon.errors import SampleException +from megatron.energon.sample_utils import format_sample_compact _field_split_re = re.compile(r"^(?P[^[\]]+)(?P(?:\[([^[\]]+)])*)$") @@ -60,12 +61,14 @@ def _field_access(value: Union[dict, list, str, int, bool, None], field: List[st return _field_access(value[int(field[0])], field[1:]) else: raise FieldAccessError( - f"Cannot access literal value {compact_str(value)} with {field!r}" + f"Cannot access literal value {format_sample_compact(value)} with {field!r}" ) except FieldAccessError: raise except KeyError: - raise FieldAccessError(f"Cannot access {'.'.join(field)!r} in {compact_str(value)}") + raise FieldAccessError( + f"Cannot access {'.'.join(field)!r} in {format_sample_compact(value)}" + ) def field_access(value: Union[dict, list, str, int, bool, None], field: List[List[str]]) -> Any: diff --git a/src/megatron/energon/flavors/webdataset/joined_webdataset.py b/src/megatron/energon/flavors/webdataset/joined_webdataset.py index 45ca153f..49394dd2 100644 --- a/src/megatron/energon/flavors/webdataset/joined_webdataset.py +++ b/src/megatron/energon/flavors/webdataset/joined_webdataset.py @@ -22,11 +22,9 @@ BaseCoreDatasetFactory, Sample, SavableDataset, - legacy_handler, set_sample_restore_key, ) from megatron.energon.flavors.webdataset.base_webdataset import BaseWebdatasetFactory -from megatron.energon.flavors.webdataset.error_handler import ErrorHandler from megatron.energon.flavors.webdataset.indexing import JoinIndexReader from megatron.energon.flavors.webdataset.itar_reader import JoinIndexFileITarReader from megatron.energon.flavors.webdataset.sample_loader import ( @@ -34,17 +32,14 @@ WebdatasetSampleLoaderDataset, ) from megatron.energon.flavors.webdataset.sharder import Sharder -from megatron.energon.flavors.webdataset.structs import DatasetSubset, ShardInfo, reraise_exception -from megatron.energon.source_info import SourceInfo +from megatron.energon.flavors.webdataset.structs import DatasetSubset, ShardInfo from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.map_dataset import MapDataset T_sample = TypeVar("T_sample", covariant=True) -class JoinedWebdatasetFactory( - BaseCoreDatasetFactory[T_sample], Sharder, ErrorHandler[T_sample], Generic[T_sample], ABC -): +class JoinedWebdatasetFactory(BaseCoreDatasetFactory[T_sample], Sharder, Generic[T_sample], ABC): """ Base class for all webdataset loaders. Applies proper sharding across workers. Can join multiple datasets. """ @@ -57,7 +52,6 @@ class JoinedWebdatasetFactory( subset: Optional[DatasetSubset] join_index: EPath - handler: Callable[[Exception, Optional[str], Optional[list[SourceInfo]]], None] shards: List[Sequence[ShardInfo]] part_datasets: SavableDataset[T_sample] @@ -78,9 +72,6 @@ def __init__( subset: Optional[DatasetSubset] = None, join_index: EPath, joiner: Union[Type[T_sample], Callable[..., T_sample]], - handler: Callable[ - [Exception, Optional[str], Optional[list[SourceInfo]]], None - ] = reraise_exception, ): """ Constructs the loader for a joined webdataset. The samples from the inner datasets are joined into a single @@ -105,7 +96,6 @@ def __init__( subset: If specified, the inner dataset(s) will be subsetted. join_index: Path to the join index file. Only required for join_method="left". joiner: Type of the joined samples or a method for joining the samples. - handler: Exception handler. Args: (exception, key). """ self.__sample_type__ = joiner assert all(not hasattr(d, "dataset") for d in inner_datasets), ( @@ -135,7 +125,6 @@ def __init__( self.parallel_shard_iters = parallel_shard_iters self.max_samples_per_sequence = max_samples_per_sequence self.subset = subset - self.handler = legacy_handler(handler) def __len__(self) -> int: return sum(shard.count for shard in self.inner_datasets[0].shards) @@ -216,7 +205,6 @@ def _process_samples(self, dataset: SavableDataset[RawSampleData]) -> SavableDat return MapDataset( dataset, self.load_sample, - error_handler=self.error_handler, stateless_map_fn=True, map_fn_config=self.config, worker_config=self.worker_config, diff --git a/src/megatron/energon/flavors/webdataset/standard_webdataset.py b/src/megatron/energon/flavors/webdataset/standard_webdataset.py index 66212a0a..56346e9f 100644 --- a/src/megatron/energon/flavors/webdataset/standard_webdataset.py +++ b/src/megatron/energon/flavors/webdataset/standard_webdataset.py @@ -55,7 +55,6 @@ def __init__( will be sequentially iterated). subset: If specified, the dataset will be subsetted. split_config: Config file to use for shard split definitions. - handler: Exception handler. Args: (exception, key). """ self.__sample_type__ = sample_type assert issubclass(sample_type, Sample), ( diff --git a/src/megatron/energon/loader.py b/src/megatron/energon/loader.py index 97b796b9..b973b672 100644 --- a/src/megatron/energon/loader.py +++ b/src/megatron/energon/loader.py @@ -4,7 +4,7 @@ from typing import Optional, TypeVar from megatron.energon.cache import CachePool -from megatron.energon.errors import warn_deprecated +from megatron.energon.deprecation import warn_deprecated from megatron.energon.flavors import SavableDataset from megatron.energon.savable_loader import BasicDataLoader, SavableDataLoader from megatron.energon.worker import WorkerConfig diff --git a/src/megatron/energon/metadataset/metadataset.py b/src/megatron/energon/metadataset/metadataset.py index 6da4d57e..e5abef64 100644 --- a/src/megatron/energon/metadataset/metadataset.py +++ b/src/megatron/energon/metadataset/metadataset.py @@ -4,9 +4,9 @@ from typing import Any, Dict, List, Literal, Optional, Union from megatron.energon.dataset_config import load_config +from megatron.energon.deprecation import warn_deprecated from megatron.energon.edataclass import edataclass from megatron.energon.epathlib import EPath -from megatron.energon.errors import warn_deprecated from megatron.energon.flavors.webdataset.metadata import check_dataset_info_present from megatron.energon.flavors.webdataset.structs import DatasetSubset from megatron.energon.metadataset.dataset_loader import DatasetLoader diff --git a/src/megatron/energon/sample_utils.py b/src/megatron/energon/sample_utils.py new file mode 100644 index 00000000..578ea819 --- /dev/null +++ b/src/megatron/energon/sample_utils.py @@ -0,0 +1,208 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +"""Utilities for inspecting and debugging samples.""" + +import dataclasses +import itertools +from typing import Any + +import numpy as np +import torch + + +def default_get_keys(batch: Any) -> list[str] | None: + """Extract sample keys from a batch using common heuristics. + + This function attempts to extract keys from samples by checking for common + key attributes/fields in the following order: + - __key__ or __keys__ attributes + - __key__ or __keys__ dict keys + - "keys" dict key + + Args: + batch: A sample or batch to extract keys from. If a list, uses the first element. + + Returns: + List of string keys if found, None otherwise. + """ + if isinstance(batch, list): + batch = batch[0] + if ( + hasattr(batch, "__key__") + and isinstance(batch.__key__, list) + and all(isinstance(k, str) for k in batch.__key__) + ): + return batch.__key__ + elif ( + hasattr(batch, "__keys__") + and isinstance(batch.__keys__, list) + and all(isinstance(k, str) for k in batch.__keys__) + ): + return batch.__keys__ + elif ( + isinstance(batch, dict) + and "__key__" in batch + and all(isinstance(k, str) for k in batch["__key__"]) + ): + return batch["__key__"] + elif ( + isinstance(batch, dict) + and "__keys__" in batch + and all(isinstance(k, str) for k in batch["__keys__"]) + ): + return batch["__keys__"] + elif ( + isinstance(batch, dict) + and "keys" in batch + and all(isinstance(k, str) for k in batch["keys"]) + ): + return batch["keys"] + return None + + +def format_sample_compact( + sample: Any, + depth: int = 3, + max_items: int = 10, + max_str_len: int = 50, +) -> str: + """Create a compact single-line string representation of a sample. + + Designed for inline use in error messages and logs. For detailed + multi-line debugging output, use format_sample_detailed(). + + Args: + sample: The sample to represent as a string. + depth: Maximum nesting depth to show before truncation. + max_items: Maximum number of items to show in collections. + max_str_len: Maximum string length before truncation. + + Returns: + A compact single-line string representation. + + Example: + >>> format_sample_compact({"key": "value", "count": 42}) + "{'key': 'value', 'count': 42}" + """ + if isinstance(sample, dict): + if depth <= 0: + return "{...}" + return ( + "{" + + ", ".join( + ( + f"{k}: {v!r}" + if isinstance(k, str) and k.startswith("__") + else f"{k}: {format_sample_compact(v, depth - 1, max_items, max_str_len)}" + ) + for k, v in itertools.islice(sample.items(), max_items) + ) + + "}" + ) + elif isinstance(sample, list): + if depth <= 0: + return "[...]" + return ( + "[" + + ", ".join( + format_sample_compact(v, depth - 1, max_items, max_str_len) + for v in sample[:max_items] + ) + + "]" + ) + elif isinstance(sample, tuple): + if depth <= 0: + return "(...)" + return ( + "(" + + ", ".join( + format_sample_compact(v, depth - 1, max_items, max_str_len) + for v in sample[:max_items] + ) + + ")" + ) + elif isinstance(sample, str): + if len(sample) > max_str_len: + return repr(sample[:max_str_len] + "...") + return repr(sample) + elif isinstance(sample, torch.Tensor): + return f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device})" + elif isinstance(sample, np.ndarray): + return f"np.ndarray(shape={sample.shape}, dtype={sample.dtype})" + elif dataclasses.is_dataclass(sample): + return f"{type(sample).__name__}({', '.join(f'{field.name}={format_sample_compact(getattr(sample, field.name), depth, max_items, max_str_len)}' for field in dataclasses.fields(sample))})" + else: + repr_str = repr(sample) + return ( + format_sample_compact(repr_str, depth, max_items, max_str_len) + if not isinstance(sample, str) + else repr_str + ) + + +def format_sample_detailed(sample: Any, indent: str = "") -> str: + """Create a detailed multi-line string representation of a sample for debugging. + + Produces human-readable representations with proper indentation and detailed + information about tensors, arrays, and nested structures. For compact inline + representations in error messages, use format_sample_compact(). + + Args: + sample: The sample to represent as a string. + indent: Current indentation level (used internally for recursion). + + Returns: + A formatted multi-line string representation with detailed information. + + Example: + >>> print(format_sample_detailed({"image": torch.zeros(3, 224, 224), "label": 5})) + - image: Tensor(shape=(3, 224, 224), dtype=torch.float32, ...) + - label: 5 + """ + if isinstance(sample, dict): + result = [] + for _, (key, value) in zip(range(25), sample.items()): + result.append(f"{indent} - {key}: {format_sample_detailed(value, indent + ' ')}") + if len(sample) > 25: + result.append(f"{indent} - ... (and {len(sample) - 25} more items)") + return "\n".join(result) + elif isinstance(sample, str): + if len(sample) > 1000: + sample = f"{sample[:1000]}... (and {len(sample) - 1000} more characters)" + if "\n" in sample: + # represent as """ string if it contains newlines: + return f'"""{sample.replace("\n", "\n " + indent)}"""' + return repr(sample) + elif isinstance(sample, (int, float, bool, type(None))): + return repr(sample) + elif isinstance(sample, (list, tuple)): + if all(isinstance(value, (str, int, float, bool, type(None))) for value in sample): + return f"[{', '.join(repr(value) for value in sample)}]" + result = [] + for _, value in zip(range(10), sample): + result.append(f"{indent} - {format_sample_detailed(value, indent + ' ')}") + if len(sample) > 10: + result.append(f"{indent} - ... (and {len(sample) - 10} more items)") + return "\n".join(result) + elif isinstance(sample, torch.Tensor): + try: + min_val = sample.min().item() + max_val = sample.max().item() + return f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device}, min={min_val}, max={max_val})" + except (RuntimeError, ValueError): + # Handle empty tensors or non-numeric dtypes + return f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device})" + elif isinstance(sample, np.ndarray): + return f"np.ndarray(shape={sample.shape}, dtype={sample.dtype})" + elif dataclasses.is_dataclass(sample): + result = [f"{indent}{type(sample).__name__}("] + for field in dataclasses.fields(sample): + result.append( + f"{indent} {field.name}={format_sample_detailed(getattr(sample, field.name), indent + ' ')}" + ) + result.append(f"{indent})") + return "\n".join(result) + else: + repr_str = repr(sample) + return repr_str[:200] + "..." if len(repr_str) > 200 else repr_str diff --git a/src/megatron/energon/savable_loader.py b/src/megatron/energon/savable_loader.py index c750c4ec..8a2f8024 100644 --- a/src/megatron/energon/savable_loader.py +++ b/src/megatron/energon/savable_loader.py @@ -30,8 +30,8 @@ from torch.utils.data import DataLoader, IterableDataset from megatron.energon.cache import CachePool +from megatron.energon.deprecation import deprecated from megatron.energon.edataclass import edataclass -from megatron.energon.errors import deprecated from megatron.energon.flavors.base_dataset import ( FlexState, SavableDataset, diff --git a/src/megatron/energon/source_info.py b/src/megatron/energon/source_info.py index 1a90c228..5de0a279 100644 --- a/src/megatron/energon/source_info.py +++ b/src/megatron/energon/source_info.py @@ -36,3 +36,23 @@ def add_source_info(sample: Any, *source_infos: SourceInfo) -> Any: else: sample["__sources__"] = (*sample["__sources__"], *source_infos) return sample + + +def get_source_info(sample: Any) -> list[SourceInfo] | None: + """Extracts source info from a sample.""" + from megatron.energon.flavors.base_dataset import Sample + + if isinstance(sample, dict): + sources = sample.get("__sources__") + elif isinstance(sample, list): + if len(sample) > 0 and isinstance(sample[0], dict): + sources = [src for s in sample for src in s.get("__sources__", ())] + elif len(sample) > 0 and isinstance(sample[0], Sample): + sources = [src for s in sample for src in s.__sources__] + else: + sources = None + elif isinstance(sample, Sample): + sources = sample.__sources__ + else: + sources = None + return list(sources) if sources else None diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index 7086e1f9..8f9d271f 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -55,7 +55,6 @@ PackingDataset, ShuffleBufferDataset, ) -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.repeat_dataset import RepeatDataset T = TypeVar("T") @@ -251,11 +250,9 @@ def get_stateless(fn: Callable) -> bool: return getattr(fn, "__stateless__", False) -def get_failure_tolerance( - fn: Callable, default_failure_tolerance: Optional[int] = None -) -> Optional[int]: +def get_failure_tolerance(fn: Callable, default_failure_tolerance: Optional[int] = None) -> int: """Get the failure tolerance of a function.""" - return getattr(fn, "__failure_tolerance__", default_failure_tolerance) + return getattr(fn, "__failure_tolerance__", default_failure_tolerance) or 0 @edataclass @@ -465,9 +462,7 @@ def preencode_sample( return sample @stateless - def postencode_sample( - self, sample: T_sample - ) -> Union[T_encoded_sample, Generator[T_encoded_sample, None, None]]: + def postencode_sample(self, sample: T_sample) -> T_encoded_sample: """Post-encode a single sample. May raise :exc:`megatron.energon.SkipSample` to skip a sample. Alternatively, this can be a generator that yields (or ignores) new samples. Use in conjunction with packing and caching. @@ -580,12 +575,6 @@ def pack_selected_samples(self, samples: List[T_encoded_sample]) -> T_encoded_sa """ raise NotImplementedError("Packing only effective when overridden.") - def error_handler( - self, exception: Exception, sample: Any, sources: Optional[Sequence[SourceInfo]] = None - ): - """Handle an exception during data processing.""" - log_exception(exception, sample, sources) - def build_batch( self, dataset: SavableDataset[T_encoded_sample], @@ -623,14 +612,13 @@ def build_batch( if post_encode_fn is None else get_stateless(post_encode_fn), worker_config=worker_config, - error_handler=self.error_handler, pre_packer_failure_tolerance=get_failure_tolerance( self.select_samples_to_pack, self.__default_failure_tolerance__ ), final_packer_failure_tolerance=get_failure_tolerance( self.pack_selected_samples, self.__default_failure_tolerance__ ), - sample_encoder_failure_tolerance=None + sample_encoder_failure_tolerance=0 if post_encode_fn is None else get_failure_tolerance(post_encode_fn, self.__default_failure_tolerance__), ) @@ -639,7 +627,6 @@ def build_batch( dataset, self.postencode_sample, worker_config=worker_config, - error_handler=self.error_handler, stateless_map_fn=get_stateless(self.postencode_sample), failure_tolerance=get_failure_tolerance( self.postencode_sample, self.__default_failure_tolerance__ @@ -654,7 +641,6 @@ def build_batch( batcher=self.batch, drop_last=batch_drop_last, worker_config=worker_config, - error_handler=self.error_handler, failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -665,7 +651,6 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, - error_handler=self.error_handler, stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -682,7 +667,6 @@ def build_batch( batcher_stateless=get_stateless(self.batch), drop_last=batch_drop_last, worker_config=worker_config, - error_handler=self.error_handler, failure_tolerance=get_failure_tolerance( self.batch, self.__default_failure_tolerance__ ), @@ -693,7 +677,6 @@ def build_batch( dataset, self.encode_batch, worker_config=worker_config, - error_handler=self.error_handler, stateless_map_fn=get_stateless(self.encode_batch), failure_tolerance=get_failure_tolerance( self.encode_batch, self.__default_failure_tolerance__ @@ -748,7 +731,6 @@ def _get_primary_aux(): dataset, cook_fn, worker_config=worker_config, - error_handler=self.error_handler, stateless_map_fn=True, map_fn_config=dict( cookers=[ @@ -800,7 +782,6 @@ def build_encode_sample( dataset, pre_encode_fn, worker_config=worker_config, - error_handler=self.error_handler, stateless_map_fn=get_stateless(pre_encode_fn), failure_tolerance=get_failure_tolerance( pre_encode_fn, self.__default_failure_tolerance__ diff --git a/src/megatron/energon/task_encoder/loader.py b/src/megatron/energon/task_encoder/loader.py index 2e5aa8ac..7155fa70 100644 --- a/src/megatron/energon/task_encoder/loader.py +++ b/src/megatron/energon/task_encoder/loader.py @@ -4,8 +4,9 @@ from pathlib import Path from typing import Any, List, Literal, Optional, Tuple, TypeVar, Union +from megatron.energon.deprecation import warn_deprecated from megatron.energon.epathlib import EPath -from megatron.energon.errors import warn_deprecated +from megatron.energon.errors import log_exception from megatron.energon.flavors import BaseCoreDatasetFactory, SavableDataset from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder from megatron.energon.metadataset import load_dataset @@ -31,13 +32,16 @@ def _split_kwargs(kwargs: dict) -> dict: return loader_kwargs -def _split_deprecated_decoder_kwargs(kwargs: dict, task_encoder: TaskEncoder) -> None: +def _split_deprecated_decoder_kwargs( + kwargs: dict, task_encoder: TaskEncoder, worker_config: WorkerConfig +) -> None: """ auto_decode: bool = True, image_decode: ImageDecoder = "torchrgb", ignore_decoder_errors: bool = False, av_decode: AVDecoder = "AVDecoder", video_decode_audio: bool = False, + handler: Callable[[Exception, Any, list[SourceInfo] | None], None] = None, """ auto_decode = True @@ -53,11 +57,17 @@ def _split_deprecated_decoder_kwargs(kwargs: dict, task_encoder: TaskEncoder) -> if kwargs.get("handler", None) is not None: warn_deprecated( - "The error_handler kwarg is deprecated and will be removed in a future version. Instead, only use the error_handler directly in your task encoder." + "The handler kwarg is deprecated and will be removed in a future version. Instead, use the error handler in the worker_config. Overwriting the worker_config handler now." ) - if getattr(task_encoder, "error_handler", None) is not None: - # Use the error handler from the task encoder for the sample loader - kwargs["handler"] = task_encoder.error_handler + set_handler = kwargs.pop("handler") + if ( + worker_config.global_error_handler != log_exception + and worker_config.global_error_handler != set_handler + ): + raise ValueError( + "Do not set the handler argument. Handler already set in the worker_config." + ) + worker_config.global_error_handler = set_handler if not auto_decode: task_encoder.decoder = None @@ -145,7 +155,7 @@ def get_train_dataset( """ loader = load_dataset(path, **_split_kwargs(kwargs)) - _split_deprecated_decoder_kwargs(kwargs, task_encoder) + _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) datasets = loader.get_datasets( training=True, @@ -205,7 +215,7 @@ def get_val_dataset( Returns: The loaded dataset. """ - _split_deprecated_decoder_kwargs(kwargs, task_encoder) + _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) loader = load_dataset(path, **_split_kwargs(kwargs)) datasets = loader.get_datasets( training=False, @@ -260,7 +270,7 @@ def get_val_datasets( Returns: The loaded val datasets, with the source datasets. """ - _split_deprecated_decoder_kwargs(kwargs, task_encoder) + _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) loader = load_dataset(path, **_split_kwargs(kwargs)) datasets = loader.get_datasets( training=False, diff --git a/src/megatron/energon/worker.py b/src/megatron/energon/worker.py index ec01e0b2..fca26369 100644 --- a/src/megatron/energon/worker.py +++ b/src/megatron/energon/worker.py @@ -6,12 +6,14 @@ import multiprocessing from dataclasses import dataclass from pathlib import Path -from typing import Any, ClassVar, Dict, List, Optional, TextIO, TypeVar +from typing import Any, Callable, ClassVar, Dict, List, Optional, TextIO, TypeVar import torch.distributed import torch.utils.data from megatron.energon.cache import CachePool +from megatron.energon.errors import log_exception, reraise_exception +from megatron.energon.source_info import SourceInfo __all__ = ("WorkerConfig",) @@ -61,6 +63,14 @@ class WorkerConfig: _worker_debug_file: Optional[TextIO] = None #: worker_id of the opened worker debug file _worker_debug_file_worker_id: Optional[int] = None + #: The global error handler to use for the worker during normal iteration. + global_error_handler: Callable[ + [Exception, Any | list[Any], Optional[list[SourceInfo]]], None + ] = log_exception + #: The error handler to use when restoring samples. Defaults to reraising the exception. + restore_error_handler: Callable[ + [Exception, Any | list[Any], Optional[list[SourceInfo]]], None + ] = reraise_exception #: The current sample index within the current iterating worker _sample_index_stack: ClassVar[Optional[List[int]]] = None diff --git a/src/megatron/energon/wrappers/_log_exception.py b/src/megatron/energon/wrappers/_log_exception.py deleted file mode 100644 index 791be674..00000000 --- a/src/megatron/energon/wrappers/_log_exception.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. -# SPDX-License-Identifier: BSD-3-Clause - -import traceback -from typing import Optional, Sequence - -from megatron.energon.source_info import SourceInfo - - -def log_exception(_e: Exception, sample, sources: Optional[Sequence[SourceInfo]] = None): - traceback.print_exc() - print("-" * 10) - - if sources: - print("Sources:") - for source in sources: - print( - f" - {source.dataset_path}[{source.index}] {source.shard_name}{source.file_names!r}" - ) - print("-" * 10) - - sample_str = str(sample) - if len(sample_str) > 400: - sample_str = sample_str[:200] + "..." + sample_str[-200:] - - print(sample_str) - - print("-" * 10) diff --git a/src/megatron/energon/wrappers/batch_dataset.py b/src/megatron/energon/wrappers/batch_dataset.py index 35473390..8cdfa8eb 100644 --- a/src/megatron/energon/wrappers/batch_dataset.py +++ b/src/megatron/energon/wrappers/batch_dataset.py @@ -11,19 +11,15 @@ Iterator, List, Optional, - Sequence, Tuple, TypeVar, Union, ) -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError +from megatron.energon.errors import ErrorContext, handle_restore_errors from megatron.energon.flavors.base_dataset import SavableDataset, set_sample_restore_key -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.base import BaseWrapperDataset, SampleIndex, get_sample_restore_key -from megatron.energon.wrappers.skip import SkipSample T_batch = TypeVar("T_batch", covariant=True) T_batch_sample = TypeVar("T_batch_sample", covariant=True) @@ -35,11 +31,10 @@ class BatchDataset(BaseWrapperDataset[T_batch_sample, T_batch], Generic[T_batch_ batch_size: int batcher: Callable[[List[T_batch_sample]], T_batch] drop_last: bool - error_handler: Callable[[Exception, list[T_batch_sample], Sequence[SourceInfo]], None] _sample_index: SampleIndex _generator_sample_keys: Optional[Any] _generator_offset: Optional[int] - _last_batch_failures: int = 0 + _batch_failure_handler: ErrorContext _savable_fields = ("_sample_index", "_generator_sample_keys", "_generator_offset") @@ -52,9 +47,6 @@ def __init__( batcher_stateless: bool = False, batcher_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] = None, drop_last: bool = False, - error_handler: Callable[ - [Exception, list[T_batch_sample], Sequence[SourceInfo]], None - ] = log_exception, failure_tolerance: int = 100, worker_config: WorkerConfig, ): @@ -70,8 +62,6 @@ def __init__( batcher_config: Configuration for the batcher function. If callable, it should return the configuration. Defaults to None. drop_last: If True, the last batch is dropped if it is smaller than the batch size. - error_handler: Function which handles exceptions raised by the batcher. The default - implementation logs the exception. failure_tolerance: The number of consecutive failures after which the dataset is considered broken. Set to 0 to disable. worker_config: Configuration for the workers. """ @@ -81,8 +71,12 @@ def __init__( self.batcher_stateless = batcher_stateless self.batcher_config = batcher_config self.drop_last = drop_last - self.error_handler = error_handler self.failure_tolerance = failure_tolerance + self._batch_failure_handler = ErrorContext( + name=f"BatchDataset.{self.batcher}", + handler=worker_config.global_error_handler, + tolerance=failure_tolerance, + ) self.reset_state_own() @@ -133,7 +127,7 @@ def __iter__(self) -> Iterator[T_batch]: sample_restore_keys = [] def flush() -> Generator[T_batch, None, None]: - try: + with self._batch_failure_handler.handle_errors(batch): with self._sample_index.ctx() as sample_idx: batch_sample = self.batcher(batch) if isinstance(batch_sample, Generator): @@ -145,8 +139,8 @@ def flush() -> Generator[T_batch, None, None]: for batch_sub_idx, (sample_idx, inner_batch_sample) in enumerate( self._sample_index.iter_ctx(batch_sample, sample_idx) ): - self._last_batch_failures = 0 self._generator_offset = batch_sub_idx + 1 + self._batch_failure_handler.reset() yield set_sample_restore_key( inner_batch_sample, sample_idx, @@ -157,28 +151,10 @@ def flush() -> Generator[T_batch, None, None]: self._generator_sample_keys = None self._generator_offset = None else: - self._last_batch_failures = 0 + self._batch_failure_handler.reset() set_sample_restore_key(batch_sample, sample_idx, *sample_restore_keys, src=self) yield batch_sample - except GeneratorExit: - raise - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(batch) - except Exception as e: - self.error_handler(e, batch) - self._last_batch_failures += 1 - if ( - self.failure_tolerance > 0 - and self._last_batch_failures >= self.failure_tolerance - ): - raise FatalSampleError.from_sample( - batch, - f"BatchDataset {self.batcher} failed {self._last_batch_failures} times in a row. Likely your code or dataset are broken.", - ) - finally: - sample_restore_keys.clear() + sample_restore_keys.clear() for sample in self.dataset: batch.append(sample) @@ -211,7 +187,7 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_b assert id == type(self).__name__ batch = [self.dataset.restore_sample(inner_idx) for inner_idx in samples_restore_keys] - try: + with handle_restore_errors(self.worker_config.restore_error_handler, batch): with self._sample_index.ctx(sample_idx): batch_sample = self.batcher(batch) if isinstance(batch_sample, Generator): @@ -221,7 +197,6 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_b for cur_batch_sub_idx, (sample_idx, inner_batch_sample) in enumerate( self._sample_index.iter_ctx(batch_sample, sample_idx) ): - self._last_batch_failures = 0 if cur_batch_sub_idx == batch_sub_idx: return set_sample_restore_key( inner_batch_sample, @@ -232,32 +207,12 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_b ) assert False, f"Batch sub-index {batch_sub_idx} not found in batch" else: - self._last_batch_failures = 0 return set_sample_restore_key( batch_sample, sample_idx, *samples_restore_keys, src=self, ) - except GeneratorExit: - raise FatalSampleError.from_sample( - batch, - f"BatchDataset {self.batcher} generator exitedwhile trying to restore a batch.", - ) - except SkipSample: - raise FatalSampleError.from_sample( - batch, f"BatchDataset {self.batcher} skipped while trying to restore a batch." - ) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(batch) - except Exception as e: - self.error_handler(e, batch) - self._last_batch_failures += 1 - if self.failure_tolerance > 0 and self._last_batch_failures >= self.failure_tolerance: - raise FatalSampleError.from_sample( - batch, - f"BatchDataset {self.batcher} failed {self._last_batch_failures} times in a row. Likely your code or dataset are broken.", - ) def config(self) -> Dict[str, Any]: return { @@ -277,7 +232,6 @@ def config(self) -> Dict[str, Any]: ), "batcher_stateless": self.batcher_stateless, "drop_last": self.drop_last, - "error_handler": self._function_config(self.error_handler), "worker_config": self.worker_config.config(), "dataset": self.dataset.config(), } diff --git a/src/megatron/energon/wrappers/group_batch_dataset.py b/src/megatron/energon/wrappers/group_batch_dataset.py index 72cefc77..41a45b20 100644 --- a/src/megatron/energon/wrappers/group_batch_dataset.py +++ b/src/megatron/energon/wrappers/group_batch_dataset.py @@ -12,26 +12,22 @@ Iterator, List, Optional, - Sequence, Tuple, TypeVar, Union, ) from megatron.energon.edataclass import edataclass -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError +from megatron.energon.errors import ErrorContext, handle_restore_errors from megatron.energon.flavors.base_dataset import ( FlexState, SavableDataset, set_sample_restore_key, ) from megatron.energon.savable import Savable -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.base import BaseWrapperDataset, SampleIndex from megatron.energon.wrappers.buffer import SavableSampleBuffer -from megatron.energon.wrappers.skip import SkipSample T_batch = TypeVar("T_batch", covariant=True) T_batch_sample = TypeVar("T_batch_sample", covariant=True) @@ -68,11 +64,11 @@ class GroupBatchDataset( sample_group_key: Callable[[T_batch_sample], Tuple[Hashable, Optional[int]]] batcher: Callable[[List[T_batch_sample]], T_batch] drop_last: bool - error_handler: Callable[[Exception, List[T_batch_sample], list[SourceInfo]], None] _group_key_sample_index: SampleIndex _batch_sample_index: SampleIndex _buckets: Dict[Hashable, Bucket[T_batch_sample]] - _last_batch_failures: int = 0 + _batch_failure_handler: ErrorContext + _group_key_failure_handler: ErrorContext def __init__( self, @@ -84,9 +80,6 @@ def __init__( batcher_stateless: bool = False, batcher_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] = None, drop_last: bool = False, - error_handler: Callable[ - [Exception, List[T_batch_sample], Sequence[SourceInfo]], None - ] = log_exception, failure_tolerance: int = 100, worker_config: WorkerConfig, ): @@ -99,7 +92,6 @@ def __init__( batcher: Function which combines separate samples into a single object. May raise :exc:`megatron.energon.SkipSample` to skip a sample. drop_last: If True, the last batch is dropped if it is smaller than the batch size. - error_handler: Handler for errors. Defaults to logging and ignoring the exception. failure_tolerance: The number of consecutive failures after which the dataset is considered broken. Set to 0 to disable. worker_config: Configuration for the workers. """ @@ -110,8 +102,17 @@ def __init__( self.batcher_stateless = batcher_stateless self.batcher_config = batcher_config self.drop_last = drop_last - self.error_handler = error_handler self.failure_tolerance = failure_tolerance + self._batch_failure_handler = ErrorContext( + name=f"GroupBatchDataset.{self.batcher}", + handler=worker_config.global_error_handler, + tolerance=failure_tolerance, + ) + self._group_key_failure_handler = ErrorContext( + name=f"GroupBatchDataset.{self.sample_group_key}", + handler=worker_config.global_error_handler, + tolerance=failure_tolerance, + ) self.reset_state_own() @@ -152,34 +153,19 @@ def flush(bucket: Bucket[T_batch_sample]) -> Generator[T_batch, None, None]: # dbg_bucket.samples.debug_print(" ") batch_items, sample_restore_keys = bucket.samples.flush() # print(f"[wrk={worker_idx}, s={self._batch_sample_index.current_idx}] flushed: len(batch)={len(batch_items)} len(samples)={len(bucket.samples)}\n", end="") - try: + with self._batch_failure_handler.handle_errors(batch_items): with self._batch_sample_index.ctx() as sample_idx: batch_sample = self.batcher(batch_items) assert not isinstance(batch_sample, Generator), ( f"Batcher {self.batcher} returned a generator, which is not supported for grouped batching yet." ) - self._last_batch_failures = 0 + self._batch_failure_handler.reset() set_sample_restore_key(batch_sample, sample_idx, *sample_restore_keys, src=self) yield batch_sample - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(batch_items) - except Exception as e: - self.error_handler(e, batch_items) - self._last_batch_failures += 1 - if ( - self.failure_tolerance > 0 - and self._last_batch_failures >= self.failure_tolerance - ): - raise FatalSampleError.from_sample( - batch_items, - f"GroupBatchDataset {self.batcher} failed {self._last_batch_failures} times in a row. Likely your code or dataset are broken.", - ) # Add samples to the buckets for sample in self.dataset: - try: + with self._group_key_failure_handler.handle_errors(sample): with self._group_key_sample_index.ctx(): bucket_key, batch_size = self.sample_group_key(sample) assert (batch_size is None) != (self.fixed_batch_size is None), ( @@ -188,13 +174,6 @@ def flush(bucket: Bucket[T_batch_sample]) -> Generator[T_batch, None, None]: ) if self.fixed_batch_size is not None: batch_size = self.fixed_batch_size - except SkipSample: - continue - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(sample) - except Exception as e: - self.error_handler(e, [sample]) - continue bucket = buckets.get(bucket_key) if bucket is None: assert batch_size is not None @@ -251,23 +230,11 @@ def restore_sample(self, index: Tuple[Union[str, int, tuple], ...]) -> T_batch: id, sample_idx, *sample_restore_keys = index assert id == type(self).__name__ batch = [self.dataset.restore_sample(inner_idx) for inner_idx in sample_restore_keys] - try: + + with handle_restore_errors(self.worker_config.restore_error_handler, batch): with self._batch_sample_index.ctx(sample_idx): batch_sample = self.batcher(batch) set_sample_restore_key(batch_sample, sample_idx, *sample_restore_keys, src=self) - self._last_batch_failures = 0 - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(batch) - except Exception as e: - self.error_handler(e, batch) - self._last_batch_failures += 1 - if self.failure_tolerance > 0 and self._last_batch_failures >= self.failure_tolerance: - raise FatalSampleError.from_sample( - batch, - f"GroupBatchDataset {self.batcher} failed {self._last_batch_failures} times in a row. Likely your code or dataset are broken.", - ) return batch_sample @@ -289,7 +256,6 @@ def config(self) -> Dict[str, Any]: ), "batcher_stateless": self.batcher_stateless, "drop_last": self.drop_last, - "error_handler": self._function_config(self.error_handler), "worker_config": self.worker_config.config(), "dataset": self.dataset.config(), } diff --git a/src/megatron/energon/wrappers/iter_map_dataset.py b/src/megatron/energon/wrappers/iter_map_dataset.py index 6d4d8956..a595e83b 100644 --- a/src/megatron/energon/wrappers/iter_map_dataset.py +++ b/src/megatron/energon/wrappers/iter_map_dataset.py @@ -16,11 +16,9 @@ from torch.utils.data import IterableDataset -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError +from megatron.energon.errors import ErrorContext, handle_restore_errors from megatron.energon.flavors.base_dataset import SavableDataset, set_sample_restore_key -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.base import BaseWrapperDataset, SampleIndex, get_sample_restore_key T_sample = TypeVar("T_sample") @@ -36,10 +34,10 @@ class IterMapDataset(BaseWrapperDataset[T_sample, T_sample_out], Generic[T_sampl iter_map_fn: Callable[[Iterator[T_sample]], Iterator[T_sample_out]] len_map_fn: Callable[[int], int] - error_handler: Callable[[Exception, Optional[T_sample], list[SourceInfo]], None] stateless_iter_fn: bool iter_map_fn_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] _sample_index: SampleIndex + _iter_map_failure_handler: ErrorContext _savable_fields = ("_sample_index",) @@ -49,9 +47,6 @@ def __init__( iter_map_fn: Callable[[Iterator[T_sample]], Iterator[T_sample_out]], *, len_map_fn: Callable[[int], int] = lambda x: x, - error_handler: Callable[ - [Exception, Optional[T_sample], list[SourceInfo]], None - ] = log_exception, stateless_iter_fn: bool = False, iter_map_fn_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] = None, worker_config: WorkerConfig, @@ -67,7 +62,6 @@ def __init__( len_map_fn: The function to apply to the length of the dataset. Returns the new (approximate) length of the resulting stream of samples based on the original length. - error_handler: Handler for errors. Defaults to logging and ignoring the exception. stateless_iter_fn: If true, assume the iter_map_fn is deterministic and stateless (it does not aggregate samples (thus key for random access can propagate to inner dataset), yielding zero or multiple samples per fetched sample is fine). @@ -79,9 +73,12 @@ def __init__( super().__init__(dataset, worker_config=worker_config) self.iter_map_fn = iter_map_fn self.len_map_fn = len_map_fn - self.error_handler = error_handler self.stateless_iter_fn = stateless_iter_fn self.iter_map_fn_config = iter_map_fn_config + self._iter_map_failure_handler = ErrorContext( + name=f"IterMapDataset.{self.iter_map_fn}", + handler=worker_config.global_error_handler, + ) self.reset_state_own() @@ -114,7 +111,7 @@ def reset_idx_iter() -> Generator[T_sample, None, None]: # While True will break when the inner dataset is exhausted, but may continue on exception while True: iter_idx = 0 - try: + with self._iter_map_failure_handler.handle_errors(last_sample_wrapper.last_sample): for sample_idx, sample in self._sample_index.iter_ctx(self.iter_map_fn(ds_iter)): yield set_sample_restore_key( sample, @@ -125,11 +122,6 @@ def reset_idx_iter() -> Generator[T_sample, None, None]: ) sample_restore_keys.clear() iter_idx += 1 - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(last_sample_wrapper.last_sample) - except Exception as e: - self.error_handler(e, last_sample_wrapper.last_sample) - else: break def can_restore_sample(self) -> bool: @@ -146,42 +138,34 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_s id, sample_idx, iter_idx, *sample_restore_keys = restore_key assert id == type(self).__name__ assert isinstance(iter_idx, int) - to_be_mapped = ( + to_be_mapped = tuple( self.dataset.restore_sample(inner_index) for inner_index in sample_restore_keys ) - try: - inner_iter = iter(self.iter_map_fn(to_be_mapped)) - # Skip inner yielded samples to get the correct sample - for skip_idx in range(iter_idx): - with self._sample_index.ctx(sample_idx - iter_idx + skip_idx): - next(inner_iter) - # This is the sample to restore - with self._sample_index.ctx(sample_idx): - sample = next(inner_iter) - return set_sample_restore_key( - sample, - sample_idx, - iter_idx, - *sample_restore_keys, - src=self, - ) - except StopIteration: - raise RuntimeError( - "Generator did not yield enough samples, but is marked stateless/deterministic." - ) - except GeneratorExit: - raise FatalSampleError.from_sample( - to_be_mapped, - f"IterMapDataset {self.iter_map_fn} generator exited while trying to restore a sample.", - ) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(to_be_mapped) - except Exception as e: - self.error_handler(e, to_be_mapped) - finally: - # Properly close if it's a generator - if hasattr(inner_iter, "close"): - inner_iter.close() + with handle_restore_errors(self.worker_config.restore_error_handler, to_be_mapped): + inner_iter = iter(self.iter_map_fn(iter(to_be_mapped))) + try: + # Skip inner yielded samples to get the correct sample + for skip_idx in range(iter_idx): + with self._sample_index.ctx(sample_idx - iter_idx + skip_idx): + next(inner_iter) + # This is the sample to restore + with self._sample_index.ctx(sample_idx): + sample = next(inner_iter) + return set_sample_restore_key( + sample, + sample_idx, + iter_idx, + *sample_restore_keys, + src=self, + ) + except StopIteration: + raise RuntimeError( + "Generator did not yield enough samples, but is marked stateless/deterministic." + ) + finally: + # Properly close if it's a generator + if hasattr(inner_iter, "close"): + inner_iter.close() def config(self) -> Dict[str, Any]: return { @@ -200,7 +184,6 @@ def config(self) -> Dict[str, Any]: else {} ), "len_map_fn": self._function_config(self.len_map_fn), - "error_handler": self._function_config(self.error_handler), } def __str__(self): diff --git a/src/megatron/energon/wrappers/log_sample_dataset.py b/src/megatron/energon/wrappers/log_sample_dataset.py index 415b9f0d..5778d9bd 100644 --- a/src/megatron/energon/wrappers/log_sample_dataset.py +++ b/src/megatron/energon/wrappers/log_sample_dataset.py @@ -1,56 +1,20 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -from typing import Any, Callable, Dict, Generic, Iterator, List, Literal, Optional, TypeVar +from typing import Any, Callable, Dict, Generic, Iterator, Literal, TypeVar from megatron.energon.flavors.base_dataset import SavableDataset +from megatron.energon.sample_utils import default_get_keys from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.base import BaseWrapperDataset T_sample = TypeVar("T_sample") -def default_get_keys(batch: Any) -> Optional[List[str]]: - """Default get_keys, which has some heuristics to find the sample keys.""" - if isinstance(batch, list): - batch = batch[0] - if ( - hasattr(batch, "__key__") - and isinstance(batch.__key__, list) - and all(isinstance(k, str) for k in batch.__key__) - ): - return batch.__key__ - elif ( - hasattr(batch, "__keys__") - and isinstance(batch.__keys__, list) - and all(isinstance(k, str) for k in batch.__keys__) - ): - return batch.__keys__ - elif ( - isinstance(batch, dict) - and "__key__" in batch - and all(isinstance(k, str) for k in batch["__key__"]) - ): - return batch["__key__"] - elif ( - isinstance(batch, dict) - and "__keys__" in batch - and all(isinstance(k, str) for k in batch["__keys__"]) - ): - return batch["__keys__"] - elif ( - isinstance(batch, dict) - and "keys" in batch - and all(isinstance(k, str) for k in batch["keys"]) - ): - return batch["keys"] - return None - - class LogSampleDataset(BaseWrapperDataset[T_sample, T_sample], Generic[T_sample]): """This dataset logs every yielded sample to the debug logs.""" - get_keys_fn: Callable[[T_sample], Optional[List[str]]] + get_keys_fn: Callable[[T_sample], list[str] | None] mode: Literal["train", "val"] _step: int @@ -61,7 +25,7 @@ def __init__( dataset: SavableDataset[T_sample], mode: Literal["train", "val"], worker_config: WorkerConfig, - get_keys_fn: Callable[[T_sample], Optional[List[str]]] = default_get_keys, + get_keys_fn: Callable[[T_sample], list[str] | None] = default_get_keys, ): """Construct the log sample dataset, which logs every yielded sample to the debug logs. diff --git a/src/megatron/energon/wrappers/map_dataset.py b/src/megatron/energon/wrappers/map_dataset.py index 33819ace..a4b4873b 100644 --- a/src/megatron/energon/wrappers/map_dataset.py +++ b/src/megatron/energon/wrappers/map_dataset.py @@ -10,19 +10,18 @@ Generic, Iterator, Optional, - Sequence, Tuple, TypeVar, Union, ) -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError +from megatron.energon.errors import ( + ErrorContext, + handle_restore_errors, +) from megatron.energon.flavors.base_dataset import SavableDataset, add_sample_restore_key -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.base import BaseWrapperDataset, SampleIndex, get_sample_restore_key -from megatron.energon.wrappers.skip import SkipSample T_sample = TypeVar("T_sample") T_sample_out = TypeVar("T_sample_out") @@ -32,13 +31,12 @@ class MapDataset(BaseWrapperDataset[T_sample, T_sample_out], Generic[T_sample, T """This dataset wrapper applies a custom function to transform each sample.""" map_fn: Callable[[T_sample], Union[T_sample_out, Generator[T_sample_out, None, None]]] - error_handler: Callable[[Exception, T_sample, Sequence[SourceInfo]], None] stateless_map_fn: bool map_fn_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] _sample_index: SampleIndex _generator_sample_key: Optional[Any] _generator_offset: Optional[int] - _last_map_failures: int = 0 + _map_failure_handler: ErrorContext _savable_fields = ( "_sample_index", @@ -51,7 +49,6 @@ def __init__( dataset: SavableDataset[T_sample], map_fn: Callable[[T_sample], Union[T_sample_out, Generator[T_sample_out, None, None]]], *, - error_handler: Callable[[Exception, T_sample, Sequence[SourceInfo]], None] = log_exception, stateless_map_fn: bool = False, map_fn_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] = None, failure_tolerance: int = 100, @@ -67,7 +64,6 @@ def __init__( map_fn: The function to apply to each sample. May raise :exc:`megatron.energon.SkipSample` to skip a sample. Alternatively, may return a generator to yield multiple or no samples. - error_handler: Handler for errors. Defaults to logging and ignoring the exception. stateless_map_fn: If true, the map_fn is deterministic and stateless (thus key for random access can propagate to inner dataset). Defaults to False. map_fn_config: Configuration for the map_fn function. If callable, it should return the @@ -77,10 +73,14 @@ def __init__( """ super().__init__(dataset, worker_config=worker_config) self.map_fn = map_fn - self.error_handler = error_handler self.stateless_map_fn = stateless_map_fn self.map_fn_config = map_fn_config self.failure_tolerance = failure_tolerance + self._map_failure_handler = ErrorContext( + name=f"MapDataset.{self.map_fn}", + tolerance=failure_tolerance, + handler=worker_config.global_error_handler, + ) self.reset_state_own() @@ -122,7 +122,7 @@ def __iter__(self) -> Iterator[T_sample_out]: for sample in self.dataset: restore_key = get_sample_restore_key(sample) - try: + with self._map_failure_handler.handle_errors(sample): with self._sample_index.ctx() as sample_idx: mapped_sample = self.map_fn(sample) if isinstance(mapped_sample, Generator): @@ -137,7 +137,7 @@ def __iter__(self) -> Iterator[T_sample_out]: self._sample_index.iter_ctx(mapped_sample, sample_idx) ): self._generator_offset = idx + 1 - self._last_map_failures = 0 + self._map_failure_handler.reset() yield add_sample_restore_key( inner_sample, sample_idx, @@ -147,29 +147,12 @@ def __iter__(self) -> Iterator[T_sample_out]: self._generator_sample_key = None self._generator_offset = None else: - self._last_map_failures = 0 + self._map_failure_handler.reset() yield add_sample_restore_key( mapped_sample, sample_idx, src=self, ) - except GeneratorExit: - raise - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(sample) - except Exception as e: - self.error_handler(e, sample) - self._last_map_failures += 1 - print( - f"MapDataset {self.map_fn} failed {self._last_map_failures}/{self.failure_tolerance} times in a row." - ) - if self.failure_tolerance > 0 and self._last_map_failures >= self.failure_tolerance: - raise FatalSampleError.from_sample( - sample, - f"MapDataset {self.map_fn} failed {self._last_map_failures} times in a row. Likely your code or dataset are broken.", - ) def can_restore_sample(self) -> bool: return super().can_restore_sample() and self.stateless_map_fn @@ -193,7 +176,7 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_s restore_key = restore_key[2:] inner_sample = self.dataset.restore_sample(restore_key) - try: + with handle_restore_errors(self.worker_config.restore_error_handler, inner_sample): with self._sample_index.ctx(sample_idx): mapped_sample = self.map_fn(inner_sample) if isinstance(mapped_sample, Generator): @@ -203,34 +186,13 @@ def restore_sample(self, restore_key: Tuple[Union[str, int, tuple], ...]) -> T_s for idx, (sample_idx, res_sample) in enumerate( self._sample_index.iter_ctx(mapped_sample, sample_idx) ): - self._last_map_failures = 0 if idx == local_idx: return add_sample_restore_key(res_sample, sample_idx, local_idx, src=self) assert False, ( "Generator did not yield enough samples, but is marked stateless/deterministic." ) else: - self._last_map_failures = 0 return add_sample_restore_key(mapped_sample, sample_idx, src=self) - except GeneratorExit: - raise FatalSampleError.from_sample( - inner_sample, - f"MapDataset {self.map_fn} generator exited while trying to restore a sample.", - ) - except SkipSample: - raise FatalSampleError.from_sample( - inner_sample, f"MapDataset {self.map_fn} skipped while trying to restore a sample." - ) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(inner_sample) - except Exception as e: - self.error_handler(e, inner_sample) - self._last_map_failures += 1 - if self.failure_tolerance > 0 and self._last_map_failures >= self.failure_tolerance: - raise FatalSampleError.from_sample( - inner_sample, - f"MapDataset {self.map_fn} failed {self._last_map_failures} times in a row. Likely your code or dataset are broken.", - ) def config(self) -> Dict[str, Any]: return { diff --git a/src/megatron/energon/wrappers/packing_dataset.py b/src/megatron/energon/wrappers/packing_dataset.py index 26472fd5..ee10e6c2 100644 --- a/src/megatron/energon/wrappers/packing_dataset.py +++ b/src/megatron/energon/wrappers/packing_dataset.py @@ -12,23 +12,19 @@ Iterator, List, Optional, - Sequence, TypeVar, Union, ) -from megatron.energon.errors import SYSTEM_EXCEPTIONS, FatalSampleError +from megatron.energon.errors import ErrorContext, handle_restore_errors from megatron.energon.flavors.base_dataset import ( SavableDataset, add_sample_restore_key, set_sample_restore_key, ) -from megatron.energon.source_info import SourceInfo from megatron.energon.worker import WorkerConfig -from megatron.energon.wrappers._log_exception import log_exception from megatron.energon.wrappers.base import BaseWrapperDataset, SampleIndex, get_sample_restore_key from megatron.energon.wrappers.buffer import SavableSampleBuffer -from megatron.energon.wrappers.skip import SkipSample T_sample = TypeVar("T_sample") T_encoded_sample = TypeVar("T_encoded_sample") @@ -49,7 +45,6 @@ class PackingDataset( final_packer: Callable[[List[T_encoded_sample]], T_batch_sample] final_packer_stateless: bool packer_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] - error_handler: Callable[[Exception, List[T_sample], Sequence[SourceInfo]], None] #: The buffer for collecting the samples that shall be packed. _reading_buffer: SavableSampleBuffer @@ -73,10 +68,10 @@ class PackingDataset( #: Sample index for the final_packer _final_packing_sample_index: SampleIndex - # Local state: Tracking last failures for each component, to raise a fatal error after a certain number of failures. - _last_pre_pack_failures: int = 0 - _last_final_pack_failures: int = 0 - _last_sample_encoder_failures: int = 0 + #: Error handlers for tracking failures + _pre_pack_failure_handler: ErrorContext + _final_pack_failure_handler: ErrorContext + _sample_encoder_failure_handler: ErrorContext | None _savable_fields = ( "_reading_buffer", @@ -98,9 +93,6 @@ def __init__( sample_encoder: Optional[Callable[[T_sample], T_encoded_sample]] = None, sample_encoder_stateless: bool = False, packer_config: Optional[Union[Dict[str, Any], Callable[[], Dict[str, Any]]]] = None, - error_handler: Callable[ - [Exception, List[T_sample], Sequence[SourceInfo]], None - ] = log_exception, pre_packer_failure_tolerance: int = 100, final_packer_failure_tolerance: int = 100, sample_encoder_failure_tolerance: int = 100, @@ -125,8 +117,6 @@ def __init__( stored/restored. packer_config: Configuration for the (pre|final)_packer functions. If callable, it should return the configuration. Defaults to None. - error_handler: Function which handles exceptions raised by the batcher. The default - implementation logs the exception. pre_packer_failure_tolerance: Maximum number of pre-packer failures before raising an error. Set to 0 to disable. final_packer_failure_tolerance: Maximum number of final-packer failures before raising an error. Set to 0 to disable. sample_encoder_failure_tolerance: Maximum number of sample-encoder failures before raising an error. Set to 0 to disable. @@ -143,12 +133,30 @@ def __init__( self.sample_encoder = sample_encoder self.sample_encoder_stateless = True if sample_encoder is None else sample_encoder_stateless self.packer_config = packer_config - self.error_handler = error_handler self.pre_packer_failure_tolerance = pre_packer_failure_tolerance self.final_packer_failure_tolerance = final_packer_failure_tolerance self.sample_encoder_failure_tolerance = sample_encoder_failure_tolerance + self._pre_pack_failure_handler = ErrorContext( + name=f"PackingDataset.{self.pre_packer}", + handler=worker_config.global_error_handler, + tolerance=pre_packer_failure_tolerance, + ) + self._final_pack_failure_handler = ErrorContext( + name=f"PackingDataset.{self.final_packer}", + handler=worker_config.global_error_handler, + tolerance=final_packer_failure_tolerance, + ) + if self.sample_encoder is not None: + self._sample_encoder_failure_handler = ErrorContext( + name=f"PackingDataset.{self.sample_encoder}", + handler=worker_config.global_error_handler, + tolerance=sample_encoder_failure_tolerance, + ) + else: + self._sample_encoder_failure_handler = None + self.reset_state_own() def reset_state_own(self) -> None: @@ -218,10 +226,11 @@ def encode_pack_samples(pack: List[T_sample]) -> List[T_encoded_sample]: return pack encoded_pack = [] for sample in pack: - try: + with self._sample_encoder_failure_handler.handle_errors(sample): with self._sample_encoder_sample_index.ctx() as encode_idx: encoded_sample = self.sample_encoder(sample) assert not isinstance(encoded_sample, Generator), "Generator not supported" + self._sample_encoder_failure_handler.reset() encoded_pack.append( add_sample_restore_key( encoded_sample, @@ -229,23 +238,6 @@ def encode_pack_samples(pack: List[T_sample]) -> List[T_encoded_sample]: src=self, ) ) - self._last_sample_encoder_failures = 0 - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(pack) - except Exception as e: - self.error_handler(e, [sample]) - self._last_sample_encoder_failures += 1 - if ( - self.sample_encoder_failure_tolerance > 0 - and self._last_sample_encoder_failures - >= self.sample_encoder_failure_tolerance - ): - raise FatalSampleError.from_sample( - pack, - f"Sample encoder {self.sample_encoder} failed {self._last_sample_encoder_failures} times. Likely your code or dataset are broken.", - ) return encoded_pack def next_pre_pack(): @@ -260,26 +252,10 @@ def next_pre_pack(): self._reading_buffer.clear() pre_packing_lengths.clear() # Now pre pack the samples - try: + pre_packs = [] + with self._pre_pack_failure_handler.handle_errors(samples): with self._pre_packing_sample_index.ctx(): pre_packs = self.pre_packer(samples) - self._last_pre_pack_failures = 0 - except SkipSample: - pre_packs = [] - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(samples) - except Exception as e: - self.error_handler(e, samples) - pre_packs = [] - self._last_pre_pack_failures += 1 - if ( - self.pre_packer_failure_tolerance > 0 - and self._last_pre_pack_failures >= self.pre_packer_failure_tolerance - ): - raise FatalSampleError.from_sample( - samples, - f"Pre packer {self.pre_packer} failed {self._last_pre_pack_failures} times. Likely your code or dataset are broken.", - ) # Put the pre-packed samples into the pre_packing_buffer # They will be flattened here to avoid nested buffers @@ -300,7 +276,7 @@ def next_final_pack() -> Generator[T_batch_sample, None, None]: del self._pre_packing_buffer[: pre_packing_lengths[0]] del pre_packing_lengths[0] - try: + with self._final_pack_failure_handler.handle_errors(pack): pack_restore_keys = tuple(get_sample_restore_key(sample) for sample in pack) with self._final_packing_sample_index.ctx() as pack_idx: final_packed_sample = self.final_packer(pack) @@ -311,7 +287,7 @@ def next_final_pack() -> Generator[T_batch_sample, None, None]: for pack_sub_idx, (pack_idx, inner_batch_sample) in enumerate( self._final_packing_sample_index.iter_ctx(final_packed_sample, pack_idx) ): - self._last_final_pack_failures = 0 + self._final_pack_failure_handler.reset() yield set_sample_restore_key( inner_batch_sample, pack_idx, @@ -320,28 +296,13 @@ def next_final_pack() -> Generator[T_batch_sample, None, None]: src=self, ) else: - self._last_final_pack_failures = 0 + self._final_pack_failure_handler.reset() yield set_sample_restore_key( final_packed_sample, pack_idx, *pack_restore_keys, src=self, ) - except SkipSample: - pass - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(pack) - except Exception as e: - self.error_handler(e, pack) - self._last_final_pack_failures += 1 - if ( - self.final_packer_failure_tolerance > 0 - and self._last_final_pack_failures >= self.final_packer_failure_tolerance - ): - raise FatalSampleError.from_sample( - pack, - f"Final packer {self.final_packer} failed {self._last_final_pack_failures} times. Likely your code or dataset are broken.", - ) # Main loop: pre_pack_round = 0 @@ -423,34 +384,16 @@ def restore_sample(self, restore_key: Any) -> T_sample: assert id == type(self).__name__ assert isinstance(sample_idx, int) sample = self.dataset.restore_sample(inner_idx) - try: - if self.sample_encoder is not None: + if self.sample_encoder is not None: + with handle_restore_errors(self.worker_config.restore_error_handler, sample): with self._sample_encoder_sample_index.ctx(sample_idx): sample = self.sample_encoder(sample) assert not isinstance(sample, Generator), "Generator not supported" - self._last_sample_encoder_failures = 0 sample = add_sample_restore_key(sample, sample_idx, src=self) - except SkipSample: - raise FatalSampleError.from_sample( - sample, - f"PackingDataset sample encoder {self.sample_encoder} skipped while trying to restore a sample.", - ) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(sample) - except Exception as e: - self.error_handler(e, sample) - self._last_sample_encoder_failures += 1 - if ( - self.sample_encoder_failure_tolerance > 0 - and self._last_sample_encoder_failures >= self.sample_encoder_failure_tolerance - ): - raise FatalSampleError.from_sample( - sample, - f"PackingDataset sample encoder {self.sample_encoder} failed {self._last_sample_encoder_failures} times. Likely your code or dataset are broken.", - ) pack.append(sample) - try: + + with handle_restore_errors(self.worker_config.restore_error_handler, pack): with self._final_packing_sample_index.ctx(pack_idx): final_pack = self.final_packer(pack) if isinstance(final_pack, Generator): @@ -460,7 +403,6 @@ def restore_sample(self, restore_key: Any) -> T_sample: for cur_batch_sub_idx, (pack_idx, inner_batch_sample) in enumerate( self._final_packing_sample_index.iter_ctx(final_pack, pack_idx) ): - self._last_final_pack_failures = 0 if cur_batch_sub_idx == pack_sub_idx: return set_sample_restore_key( inner_batch_sample, @@ -471,30 +413,7 @@ def restore_sample(self, restore_key: Any) -> T_sample: ) assert False, f"Pack sub-index {pack_sub_idx} not found in pack" else: - self._last_final_pack_failures = 0 return set_sample_restore_key(final_pack, pack_idx, *pack_restore_keys, src=self) - except GeneratorExit: - raise FatalSampleError.from_sample( - pack, - f"PackingDataset {self.final_packer} generator exited while trying to restore a pack.", - ) - except SkipSample: - raise FatalSampleError.from_sample( - pack, f"PackingDataset {self.final_packer} skipped while trying to restore a pack." - ) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(pack) - except Exception as e: - self.error_handler(e, pack) - self._last_final_pack_failures += 1 - if ( - self.final_packer_failure_tolerance > 0 - and self._last_final_pack_failures >= self.final_packer_failure_tolerance - ): - raise FatalSampleError.from_sample( - pack, - f"PackingDataset {self.final_packer} failed {self._last_final_pack_failures} times. Likely your code or dataset are broken.", - ) def config(self) -> Dict[str, Any]: return { @@ -512,7 +431,6 @@ def config(self) -> Dict[str, Any]: if self.packer_config else {} ), - "error_handler": self._function_config(self.error_handler), "worker_config": self.worker_config.config(), "dataset": self.dataset.config(), } diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 9e60651e..5152b71f 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -93,6 +93,10 @@ class CaptioningBatch(Batch): caption: torch.Tensor +class ShouldRaiseException(Exception): + pass + + class TestDataset(unittest.TestCase): # Set up the test fixture def setUp(self): @@ -1780,15 +1784,6 @@ class ErrorProneTaskEncoder(DefaultTaskEncoder): def __init__(self): super().__init__(raw_batch_type=CaptioningBatch) - def error_handler(self, exception, sample, sources=None): - error_calls.append( - { - "exception": exception, - "sample_key": getattr(sample, "__key__", None), - "exception_type": type(exception).__name__, - } - ) - @stateless def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: # Intentionally raise an error for specific samples to test error handling @@ -1801,17 +1796,29 @@ def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: ) # Test with custom error handler - task_encoder = ErrorProneTaskEncoder() + + worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=0, + global_error_handler=lambda e, s, sources: error_calls.append( + { + "exception": e, + "sample_key": getattr(s, "__key__", None), + "exception_type": type(e).__name__, + } + ), + ) loader = get_loader( get_train_dataset( self.dataset_path, batch_size=5, - worker_config=no_worker_config, + worker_config=worker_config, shuffle_buffer_size=None, max_samples_per_sequence=None, virtual_epoch_length=50, - task_encoder=task_encoder, + task_encoder=ErrorProneTaskEncoder(), ) ) @@ -1835,6 +1842,42 @@ def encode_sample(self, sample: CaptioningSample) -> EncodedCaptioningSample: "All errors should be ValueError" ) + print("Step 2: Reraise") + + def reraise(e, s, sources): + raise ShouldRaiseException() from e + + worker_config_r1 = WorkerConfig( + rank=0, + world_size=1, + num_workers=1, + global_error_handler=reraise, + ) + + loader = get_loader( + get_train_dataset( + self.dataset_path, + batch_size=5, + worker_config=worker_config_r1, + shuffle_buffer_size=None, + max_samples_per_sequence=None, + virtual_epoch_length=50, + task_encoder=ErrorProneTaskEncoder(), + ) + ) + + try: + # Iterate through the loader - errors should be handled by custom handler + batches = [] + for i, batch in enumerate(loader): + batches.append(batch) + if i >= 9: # Get 10 batches (50 samples total) + break + except ShouldRaiseException: + pass + else: + assert False, "Should have raised ShouldRaiseException" + if __name__ == "__main__": unittest.main() From 89a4905fcc6c4a376a24755ce7e73913784a9aad Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Wed, 5 Nov 2025 16:19:52 +0100 Subject: [PATCH 11/80] Update comments --- src/megatron/energon/errors.py | 17 ++++--- src/megatron/energon/sample_utils.py | 47 +++++++++++++++++-- src/megatron/energon/savable_loader.py | 6 +-- src/megatron/energon/task_encoder/loader.py | 18 +++++-- .../energon/wrappers/log_sample_dataset.py | 4 +- tests/test_dataset.py | 7 +-- 6 files changed, 70 insertions(+), 29 deletions(-) diff --git a/src/megatron/energon/errors.py b/src/megatron/energon/errors.py index 7f11c57e..44c14eb8 100644 --- a/src/megatron/energon/errors.py +++ b/src/megatron/energon/errors.py @@ -61,7 +61,7 @@ class ErrorContext: tolerance=100, ) - with error_ctx.handle_errors(sample, get_source_info): + with error_ctx.handle_errors(sample): result = process_sample(sample) """ @@ -69,7 +69,7 @@ class ErrorContext: tolerance: int handler: Callable[[Exception, Any, list["SourceInfo"] | None], None] - _consecutive_failures: int + _consecutive_failures: int = 0 def __init__( self, @@ -89,7 +89,6 @@ def __init__( self.name = name self.tolerance = tolerance self.handler = handler - self._consecutive_failures = 0 def reset(self) -> None: """Reset the consecutive failures counter.""" @@ -159,22 +158,22 @@ def handle_restore_errors( """ try: yield - except SkipSample: + except SkipSample as e: # Unexpected skip sample try: - raise ValueError(f"Unexpected skip sample {sample} during restoration.") + raise ValueError(f"Unexpected skip sample {sample} during restoration.") from e except Exception as e: error_handler(e, sample, get_source_info(sample)) - except GeneratorExit: + except GeneratorExit as e: # Unexpected skip sample try: raise ValueError( f"Unexpected generator early stopping for sample {sample} during restoration." - ) + ) from e except Exception as e: error_handler(e, sample, get_source_info(sample)) - except SYSTEM_EXCEPTIONS: - raise FatalSampleError.from_sample(sample) + except SYSTEM_EXCEPTIONS as e: + raise FatalSampleError.from_sample(sample) from e except Exception as e: error_handler(e, sample, get_source_info(sample)) diff --git a/src/megatron/energon/sample_utils.py b/src/megatron/energon/sample_utils.py index 578ea819..a695817f 100644 --- a/src/megatron/energon/sample_utils.py +++ b/src/megatron/energon/sample_utils.py @@ -11,7 +11,7 @@ import torch -def default_get_keys(batch: Any) -> list[str] | None: +def default_get_batch_keys(batch: Any) -> list[str] | None: """Extract sample keys from a batch using common heuristics. This function attempts to extract keys from samples by checking for common @@ -172,7 +172,7 @@ def format_sample_detailed(sample: Any, indent: str = "") -> str: sample = f"{sample[:1000]}... (and {len(sample) - 1000} more characters)" if "\n" in sample: # represent as """ string if it contains newlines: - return f'"""{sample.replace("\n", "\n " + indent)}"""' + return '"""' + sample.replace("\n", "\n " + indent) + '"""' return repr(sample) elif isinstance(sample, (int, float, bool, type(None))): return repr(sample) @@ -189,12 +189,51 @@ def format_sample_detailed(sample: Any, indent: str = "") -> str: try: min_val = sample.min().item() max_val = sample.max().item() - return f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device}, min={min_val}, max={max_val})" + values_repr = "" + # flatten tensor, get first and last 3 values if possible + numel = sample.numel() + flat = sample.flatten() + n_show = 3 + if numel == 0: + values_repr = "values=[]" + elif numel <= n_show * 2: + shown = ", ".join(repr(v.item()) for v in flat) + values_repr = f"values=[{shown}]" + else: + first_vals = ", ".join(repr(v.item()) for v in flat[:n_show]) + last_vals = ", ".join(repr(v.item()) for v in flat[-n_show:]) + values_repr = f"values=[{first_vals}, ..., {last_vals}]" + return ( + f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device}, " + f"min={min_val}, max={max_val}, {values_repr})" + ) except (RuntimeError, ValueError): # Handle empty tensors or non-numeric dtypes return f"Tensor(shape={sample.shape}, dtype={sample.dtype}, device={sample.device})" elif isinstance(sample, np.ndarray): - return f"np.ndarray(shape={sample.shape}, dtype={sample.dtype})" + try: + min_val = sample.min() + max_val = sample.max() + values_repr = "" + flat = sample.ravel() + n_show = 3 + numel = flat.size + if numel == 0: + values_repr = "values=[]" + elif numel <= n_show * 2: + shown = ", ".join(repr(x) for x in flat) + values_repr = f"values=[{shown}]" + else: + first_vals = ", ".join(repr(x) for x in flat[:n_show]) + last_vals = ", ".join(repr(x) for x in flat[-n_show:]) + values_repr = f"values=[{first_vals}, ..., {last_vals}]" + return ( + f"np.ndarray(shape={sample.shape}, dtype={sample.dtype}, " + f"min={min_val}, max={max_val}, {values_repr})" + ) + except (ValueError, TypeError): + # Handle empty arrays or non-numeric dtypes + return f"np.ndarray(shape={sample.shape}, dtype={sample.dtype})" elif dataclasses.is_dataclass(sample): result = [f"{indent}{type(sample).__name__}("] for field in dataclasses.fields(sample): diff --git a/src/megatron/energon/savable_loader.py b/src/megatron/energon/savable_loader.py index 8a2f8024..06ce51ce 100644 --- a/src/megatron/energon/savable_loader.py +++ b/src/megatron/energon/savable_loader.py @@ -43,7 +43,7 @@ from megatron.energon.wrappers.base import BaseWrapperDataset from megatron.energon.wrappers.batch_dataset import BatchDataset from megatron.energon.wrappers.gc_dataset import GC_DEFAULT_EVERY_N_ITER, GcDataset, gc_init_worker -from megatron.energon.wrappers.log_sample_dataset import default_get_keys +from megatron.energon.wrappers.log_sample_dataset import default_get_batch_keys from megatron.energon.wrappers.watchdog_dataset import WatchdogDataset T = TypeVar("T") @@ -841,7 +841,7 @@ def _epoch_iter(self): # ) # self._debugf.flush() if self.worker_config.should_log(level=1): - keys = default_get_keys(sample) + keys = default_get_batch_keys(sample) self.worker_config.worker_log( { **{ @@ -1323,7 +1323,7 @@ def _inner_generator(iterator): for worker_id, sample_idx, sample in iterator: # If the next sample will be from the first worker, we can safely resume if self.worker_config.should_log(level=1): - keys = default_get_keys(sample) + keys = default_get_batch_keys(sample) self.worker_config.worker_log( { **{ diff --git a/src/megatron/energon/task_encoder/loader.py b/src/megatron/energon/task_encoder/loader.py index 7155fa70..a3d21aa3 100644 --- a/src/megatron/energon/task_encoder/loader.py +++ b/src/megatron/energon/task_encoder/loader.py @@ -32,10 +32,18 @@ def _split_kwargs(kwargs: dict) -> dict: return loader_kwargs -def _split_deprecated_decoder_kwargs( +def _split_deprecated_dataset_kwargs( kwargs: dict, task_encoder: TaskEncoder, worker_config: WorkerConfig ) -> None: """ + This function takes deprecated kwargs to the get_train_dataset and get_val_dataset functions and splits them into the new decoder kwargs and the worker_config error handler. + + Args: + kwargs: The kwargs to consider (will modify this in place). + task_encoder: The task encoder to apply the kwargs to. + worker_config: The worker configuration to apply the kwargs to. + + List of deprecated kwargs: auto_decode: bool = True, image_decode: ImageDecoder = "torchrgb", ignore_decoder_errors: bool = False, @@ -55,7 +63,7 @@ def _split_deprecated_decoder_kwargs( if "video_decode_audio" in kwargs: decoder_kwargs["video_decode_audio"] = kwargs.pop("video_decode_audio") - if kwargs.get("handler", None) is not None: + if "handler" in kwargs: warn_deprecated( "The handler kwarg is deprecated and will be removed in a future version. Instead, use the error handler in the worker_config. Overwriting the worker_config handler now." ) @@ -155,7 +163,7 @@ def get_train_dataset( """ loader = load_dataset(path, **_split_kwargs(kwargs)) - _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) + _split_deprecated_dataset_kwargs(kwargs, task_encoder, worker_config) datasets = loader.get_datasets( training=True, @@ -215,7 +223,7 @@ def get_val_dataset( Returns: The loaded dataset. """ - _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) + _split_deprecated_dataset_kwargs(kwargs, task_encoder, worker_config) loader = load_dataset(path, **_split_kwargs(kwargs)) datasets = loader.get_datasets( training=False, @@ -270,7 +278,7 @@ def get_val_datasets( Returns: The loaded val datasets, with the source datasets. """ - _split_deprecated_decoder_kwargs(kwargs, task_encoder, worker_config) + _split_deprecated_dataset_kwargs(kwargs, task_encoder, worker_config) loader = load_dataset(path, **_split_kwargs(kwargs)) datasets = loader.get_datasets( training=False, diff --git a/src/megatron/energon/wrappers/log_sample_dataset.py b/src/megatron/energon/wrappers/log_sample_dataset.py index 5778d9bd..d291fb87 100644 --- a/src/megatron/energon/wrappers/log_sample_dataset.py +++ b/src/megatron/energon/wrappers/log_sample_dataset.py @@ -4,7 +4,7 @@ from typing import Any, Callable, Dict, Generic, Iterator, Literal, TypeVar from megatron.energon.flavors.base_dataset import SavableDataset -from megatron.energon.sample_utils import default_get_keys +from megatron.energon.sample_utils import default_get_batch_keys from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.base import BaseWrapperDataset @@ -25,7 +25,7 @@ def __init__( dataset: SavableDataset[T_sample], mode: Literal["train", "val"], worker_config: WorkerConfig, - get_keys_fn: Callable[[T_sample], list[str] | None] = default_get_keys, + get_keys_fn: Callable[[T_sample], list[str] | None] = default_get_batch_keys, ): """Construct the log sample dataset, which logs every yielded sample to the debug logs. diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 5152b71f..79fdf76e 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -1866,17 +1866,12 @@ def reraise(e, s, sources): ) ) - try: - # Iterate through the loader - errors should be handled by custom handler + with self.assertRaises(ShouldRaiseException): batches = [] for i, batch in enumerate(loader): batches.append(batch) if i >= 9: # Get 10 batches (50 samples total) break - except ShouldRaiseException: - pass - else: - assert False, "Should have raised ShouldRaiseException" if __name__ == "__main__": From 3fe67f57a2745b0ec2500afbd3e5e6e4c9d94f17 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Wed, 5 Nov 2025 17:15:42 +0100 Subject: [PATCH 12/80] Fix test --- tests/test_metadataset.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_metadataset.py b/tests/test_metadataset.py index 3378574e..d3d1b182 100644 --- a/tests/test_metadataset.py +++ b/tests/test_metadataset.py @@ -757,7 +757,6 @@ def new_loader(): "batcher": "megatron.energon.task_encoder.base.DefaultTaskEncoder.batch", "batcher_stateless": True, "drop_last": False, - "error_handler": "megatron.energon.task_encoder.base.TaskEncoder.error_handler", "worker_config": wrk_cfg, "dataset": { "type": "MapDataset", From 274f51bef5ab9edd9e9d0e35f98b2e1076c476d1 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Thu, 6 Nov 2025 16:37:08 +0100 Subject: [PATCH 13/80] Add docs for error handling --- docs/source/advanced/error_handling.md | 139 +++++++++++++++++++++++++ docs/source/basic/quickstart.md | 2 + docs/source/basic/save_restore.md | 8 ++ docs/source/index.md | 1 + 4 files changed, 150 insertions(+) create mode 100644 docs/source/advanced/error_handling.md diff --git a/docs/source/advanced/error_handling.md b/docs/source/advanced/error_handling.md new file mode 100644 index 00000000..99c51d5a --- /dev/null +++ b/docs/source/advanced/error_handling.md @@ -0,0 +1,139 @@ + + +# Error Handling + +Energon provides configurable error handling to gracefully manage exceptions during data loading and processing. +By default, errors are logged and the sample is skipped, allowing training to continue. + +By default, if more than 100 samples in a row raise an error, processing will also fail. This is configurable for the +{py:class}`~megatron.energon.task_encoder.base.TaskEncoder` user-functions by setting the `@stateless(failure_tolerance=100)` parameter. + +## Error Handler Configuration + +Error handlers are configured via {py:class}`WorkerConfig `: + +```python +from megatron.energon import WorkerConfig, log_exception, reraise_exception + +worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=4, + global_error_handler=log_exception, # Default: logs and skips failed samples + restore_error_handler=reraise_exception, # Default: fails fast on restore +) +``` + +**`global_error_handler`:** Handles exceptions during normal iteration (training/validation). +Default is {py:func}`log_exception ` which logs details and skips the sample. + +**`restore_error_handler`:** Handles exceptions during checkpoint restoration. +Default is {py:func}`reraise_exception ` which fails fast to ensure checkpoint integrity. + +## Built-in Error Handlers + +### `log_exception` + +Logs detailed error information and continues: +- Exception traceback +- Source information (dataset path, shard, index) +- Sample details in readable format + +```python +from megatron.energon import log_exception + +worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=4, + global_error_handler=log_exception, +) +``` + +### `reraise_exception` + +Immediately reraises the exception to halt iteration: + +```python +from megatron.energon import reraise_exception + +worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=4, + global_error_handler=reraise_exception, # Fail on any error +) +``` + +### Custom Error Handlers + +Implement custom error handlers with this signature: + +```python +def my_error_handler( + exception: Exception, + sample: Any, + sources: list[SourceInfo] | None +) -> None: + # Log to your monitoring system + log_to_monitoring(exception, sample) + + # Optionally reraise for critical errors + if isinstance(exception, CriticalError): + raise exception +``` + +```python +worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=4, + global_error_handler=my_error_handler, +) +``` + +## Failure Tolerance for Task Encoder Functions + +By default, if more than 100 samples in a row raise an error, processing will fail with a {py:exc}`FatalSampleError `. + +For {py:class}`TaskEncoder ` methods, configure this via the `@stateless` decorator: + +```python +from megatron.energon import DefaultTaskEncoder, stateless + +class MyTaskEncoder(DefaultTaskEncoder): + @stateless(failure_tolerance=50) + def encode_sample(self, sample): + # Process sample - tolerates up to 50 consecutive failures + if sample.is_corrupted(): + raise ValueError("Corrupted sample") + return sample + + @stateless(restore_seeds=True, failure_tolerance=200) + def pack_selected_samples(self, samples): + # Packing with higher tolerance and deterministic randomness + return pack_samples(samples) +``` + +Set `failure_tolerance=0` to disable tolerance checking for a specific function. + +```{admonition} Note +:class: important +Tolerance limits count *consecutive* failures. A single successful sample resets the counter. +``` + +## Skip Samples Explicitly + +Raise {py:exc}`SkipSample ` to explicitly skip a sample without logging an error. E.g. for skipping specific errors: + +```python +from megatron.energon import SkipSample + +def process_sample(sample): + try: + ... + except MySpecificError: + raise SkipSample() + return sample +``` diff --git a/docs/source/basic/quickstart.md b/docs/source/basic/quickstart.md index 622089ac..c817e4b4 100644 --- a/docs/source/basic/quickstart.md +++ b/docs/source/basic/quickstart.md @@ -147,6 +147,8 @@ Let's also talk about the {py:class}`WorkerConfig ` to see how the worker config is constructed. Also don't be afraid to click the *`[source]`* link and look at the very short source code of it. +The worker config also controls error handling behavior. See [](../advanced/error_handling) for details on customizing error handlers. + ## Tutorial 3: Batch Size Actually, we would like to use a `batch_size` of more than one, let's go with 2 for now. diff --git a/docs/source/basic/save_restore.md b/docs/source/basic/save_restore.md index 2c9792b1..372637aa 100644 --- a/docs/source/basic/save_restore.md +++ b/docs/source/basic/save_restore.md @@ -140,6 +140,14 @@ state = torch.load('dataloader_state.pth') loader.restore_state_global(state, src_rank=None) ``` +## Error Handling During Restore + +By default, energon uses a strict error handler during checkpoint restoration to ensure data integrity. +If sample restoration fails, the exception is immediately raised. + +You can customize this behavior via the `restore_error_handler` parameter in {py:class}`WorkerConfig `. +See [](../advanced/error_handling) for details. + ## Summary In each of these scenarios, ensure that the logic for saving and restoring the state is appropriately synchronized across ranks to maintain consistency. diff --git a/docs/source/index.md b/docs/source/index.md index c1cf490a..8361b009 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -57,6 +57,7 @@ advanced/subsets advanced/epochized_blending advanced/custom_blending advanced/parallelism +advanced/error_handling ``` From 88f3fd463c6dff09bfc253f90ef5fbcc0fe06201 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 7 Nov 2025 11:51:01 +0100 Subject: [PATCH 14/80] Update docs from comments --- docs/source/advanced/error_handling.md | 26 +++++++++++++++++++++++--- 1 file changed, 23 insertions(+), 3 deletions(-) diff --git a/docs/source/advanced/error_handling.md b/docs/source/advanced/error_handling.md index 99c51d5a..7d208d44 100644 --- a/docs/source/advanced/error_handling.md +++ b/docs/source/advanced/error_handling.md @@ -4,7 +4,8 @@ SPDX-License-Identifier: BSD-3-Clause --> # Error Handling Energon provides configurable error handling to gracefully manage exceptions during data loading and processing. -By default, errors are logged and the sample is skipped, allowing training to continue. +By default, errors in task encoder code are logged and the sample is skipped, allowing training to continue. +Some system exceptions (clearly programming errors) always cause immediate failure. By default, if more than 100 samples in a row raise an error, processing will also fail. This is configurable for the {py:class}`~megatron.energon.task_encoder.base.TaskEncoder` user-functions by setting the `@stateless(failure_tolerance=100)` parameter. @@ -31,6 +32,12 @@ Default is {py:func}`log_exception ` which logs **`restore_error_handler`:** Handles exceptions during checkpoint restoration. Default is {py:func}`reraise_exception ` which fails fast to ensure checkpoint integrity. +## System Exceptions + +Programming errors and critical system issues always cause immediate failure and are never handled by error handlers: +`SystemError`, `SyntaxError`, `ImportError`, `StopIteration`, `StopAsyncIteration`, `MemoryError`, `RecursionError`, `ReferenceError`, `NameError`, `UnboundLocalError`, and {py:exc}`FatalSampleError `. +{py:exc}`FatalSampleError ` is raised automatically when consecutive failure tolerance is exceeded or when a system exception occurs during sample processing. + ## Built-in Error Handlers ### `log_exception` @@ -123,9 +130,9 @@ Set `failure_tolerance=0` to disable tolerance checking for a specific function. Tolerance limits count *consecutive* failures. A single successful sample resets the counter. ``` -## Skip Samples Explicitly +## Skip or Fail Explicitly -Raise {py:exc}`SkipSample ` to explicitly skip a sample without logging an error. E.g. for skipping specific errors: +Raise {py:exc}`SkipSample ` to explicitly skip a sample without logging an error: ```python from megatron.energon import SkipSample @@ -137,3 +144,16 @@ def process_sample(sample): raise SkipSample() return sample ``` + +Raise {py:exc}`FatalSampleError ` to cause immediate failure, bypassing the error handler: + +```python +from megatron.energon import FatalSampleError + +def process_sample(sample): + try: + ... + except MyFatalError as e: + raise FatalSampleError.from_sample(sample, "Critical corruption detected") from e + return sample +``` From ccd995550068659fae8c899c3f29b9993fcd508e Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 06:34:41 -0800 Subject: [PATCH 15/80] Re-export exception handlers --- src/megatron/energon/__init__.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/megatron/energon/__init__.py b/src/megatron/energon/__init__.py index 1a54c389..cc53b45a 100644 --- a/src/megatron/energon/__init__.py +++ b/src/megatron/energon/__init__.py @@ -23,6 +23,7 @@ SystemFileStore, ) from megatron.energon.edataclass import edataclass +from megatron.energon.errors import log_exception, reraise_exception from megatron.energon.flavors import ( BaseCoreDatasetFactory, BaseWebdatasetFactory, @@ -168,6 +169,7 @@ "Lazy", "LimitDataset", "load_dataset", + "log_exception", "LogSampleDataset", "MapDataset", "Metadataset", @@ -182,6 +184,7 @@ "PackingDataset", "prepare_metadataset", "RepeatDataset", + "reraise_exception", "Sample", "SampleDecoder", "SavableDataLoader", From 877c31e2bce87ae451148ab522316a14a7b6408c Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:52:20 +0100 Subject: [PATCH 16/80] Fix legacy error handler --- src/megatron/energon/flavors/webdataset/structs.py | 13 ------------- src/megatron/energon/task_encoder/loader.py | 14 +++----------- tests/test_crudedataset.py | 4 ++-- 3 files changed, 5 insertions(+), 26 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/structs.py b/src/megatron/energon/flavors/webdataset/structs.py index 1ee955eb..1b8842cd 100644 --- a/src/megatron/energon/flavors/webdataset/structs.py +++ b/src/megatron/energon/flavors/webdataset/structs.py @@ -113,16 +113,3 @@ def config(self) -> dict: "range": self.range, "absolute_range": self.absolute_range, } - - -def reraise_exception( - exc: Exception, key: Optional[str], sources: Optional[list[SourceInfo]] = None -) -> None: - if sources: - raise Exception( - f"For sample {key!r} from {', '.join(f'{source.dataset_path}[{source.index}] {source.shard_name}{source.file_names!r}' for source in sources)}" - ) from exc - elif key: - raise Exception(f"For sample {key!r}") from exc - else: - raise diff --git a/src/megatron/energon/task_encoder/loader.py b/src/megatron/energon/task_encoder/loader.py index a3d21aa3..5c680bb2 100644 --- a/src/megatron/energon/task_encoder/loader.py +++ b/src/megatron/energon/task_encoder/loader.py @@ -6,7 +6,6 @@ from megatron.energon.deprecation import warn_deprecated from megatron.energon.epathlib import EPath -from megatron.energon.errors import log_exception from megatron.energon.flavors import BaseCoreDatasetFactory, SavableDataset from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder from megatron.energon.metadataset import load_dataset @@ -65,17 +64,10 @@ def _split_deprecated_dataset_kwargs( if "handler" in kwargs: warn_deprecated( - "The handler kwarg is deprecated and will be removed in a future version. Instead, use the error handler in the worker_config. Overwriting the worker_config handler now." + "The handler kwarg is deprecated and will be removed in a future version. Instead, use the error handler in the worker_config." + "Ignoring the handler argument and using the worker_config handler." ) - set_handler = kwargs.pop("handler") - if ( - worker_config.global_error_handler != log_exception - and worker_config.global_error_handler != set_handler - ): - raise ValueError( - "Do not set the handler argument. Handler already set in the worker_config." - ) - worker_config.global_error_handler = set_handler + kwargs.pop("handler") if not auto_decode: task_encoder.decoder = None diff --git a/tests/test_crudedataset.py b/tests/test_crudedataset.py index 637ce8fb..7ee42801 100644 --- a/tests/test_crudedataset.py +++ b/tests/test_crudedataset.py @@ -32,10 +32,10 @@ from megatron.energon.cache.base import CachePool from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath +from megatron.energon.errors import reraise_exception from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder -from megatron.energon.flavors.webdataset.structs import reraise_exception from megatron.energon.source_info import SourceInfo from megatron.energon.task_encoder.cooking import cooker @@ -347,6 +347,7 @@ def test_metadataset(self): rank=0, world_size=1, num_workers=0, + global_error_handler=reraise_exception, ) # Train mode dataset @@ -358,7 +359,6 @@ def test_metadataset(self): task_encoder=CookingTaskEncoder(), shuffle_buffer_size=None, max_samples_per_sequence=None, - handler=reraise_exception, ) loader = get_savable_loader( train_dataset, From c35d6e71fdfa34c870355411073856e053af5070 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 17/80] First draft for media metadata --- src/megatron/energon/av/__init__.py | 7 +- src/megatron/energon/av/av_decoder.py | 17 +- src/megatron/energon/cache/base.py | 10 +- src/megatron/energon/cache/file_store.py | 88 ++++++++ src/megatron/energon/dataset_config.py | 2 + .../energon/flavors/webdataset/indexing.py | 78 ++++++- .../energon/flavors/webdataset/metadata.py | 10 +- .../energon/flavors/webdataset/prepare.py | 73 +++++- src/megatron/energon/media/__init__.py | 20 ++ src/megatron/energon/media/extractor.py | 209 ++++++++++++++++++ .../energon/media/filesystem_prepare.py | 121 ++++++++++ src/megatron/energon/media/metadata.py | 106 +++++++++ src/megatron/energon/metadataset/loader.py | 2 + .../energon/metadataset/metadataset_v2.py | 4 + src/megatron/energon/tools/prepare.py | 44 ++++ tests/test_crudedataset.py | 166 ++++++++++++++ tests/test_media_pipeline.py | 143 ++++++++++++ 17 files changed, 1072 insertions(+), 28 deletions(-) create mode 100644 src/megatron/energon/media/__init__.py create mode 100644 src/megatron/energon/media/extractor.py create mode 100644 src/megatron/energon/media/filesystem_prepare.py create mode 100644 src/megatron/energon/media/metadata.py create mode 100644 tests/test_media_pipeline.py diff --git a/src/megatron/energon/av/__init__.py b/src/megatron/energon/av/__init__.py index 60c333d5..2bd70052 100644 --- a/src/megatron/energon/av/__init__.py +++ b/src/megatron/energon/av/__init__.py @@ -2,12 +2,9 @@ # SPDX-License-Identifier: BSD-3-Clause from megatron.energon.av.av_data import AVData -from megatron.energon.av.av_decoder import ( - AVDecoder, - AVMetadata, - AVWebdatasetDecoder, -) +from megatron.energon.av.av_decoder import AVDecoder, AVWebdatasetDecoder from megatron.energon.av.utils import get_clips_uniform, get_single_frames_uniform +from megatron.energon.media import AVMetadata __all__ = [ "AVDecoder", diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index ee6555b9..7cf19e5f 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -11,7 +11,6 @@ import torch from megatron.energon.av.av_init import av_open -from megatron.energon.edataclass import edataclass # Try importing optional dependencies try: @@ -27,6 +26,7 @@ MISSING_DEPENDENCY = str(e) from megatron.energon.av.av_data import AVData +from megatron.energon.media import AVMetadata class AVDecoder: @@ -715,18 +715,3 @@ def __call__( ) else: raise ValueError(f"Invalid av_decode value: {self.av_decode}") - - -@edataclass -class AVMetadata: - """Metadata of the media object.""" - - video_duration: Optional[float] = None - video_num_frames: Optional[int] = None - video_fps: Optional[float] = None - video_width: Optional[int] = None - video_height: Optional[int] = None - - audio_duration: Optional[float] = None - audio_channels: Optional[int] = None - audio_sample_rate: Optional[int] = None diff --git a/src/megatron/energon/cache/base.py b/src/megatron/energon/cache/base.py index 46068711..a9cbf2f7 100644 --- a/src/megatron/energon/cache/base.py +++ b/src/megatron/energon/cache/base.py @@ -2,9 +2,10 @@ # SPDX-License-Identifier: BSD-3-Clause from abc import ABC, abstractmethod -from typing import Any, Callable, Generic, TypeVar +from typing import Any, Callable, Generic, Optional, TypeVar from megatron.energon.edataclass import edataclass +from megatron.energon.media.metadata import MediaMetadataBase from megatron.energon.source_info import SourceInfo, add_source_info T = TypeVar("T") @@ -29,6 +30,13 @@ def get_path(self) -> str: """Returns the path to the dataset.""" ... + def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + """Return the media metadata for the given key if available.""" + + raise NotImplementedError( + f"{type(self).__name__} does not support media metadata retrieval" + ) + @edataclass class Lazy(Generic[T]): diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index 6247d748..730a2be0 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -1,12 +1,16 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause +import sqlite3 from typing import Any, Optional, Union from megatron.energon.cache.base import FileStore, FileStoreDecoder from megatron.energon.epathlib import EPath from megatron.energon.flavors.jsonl.ijsonl_reader import IJsonlReader +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.itar_reader import SqliteITarEntryReader +from megatron.energon.flavors.webdataset.thread_local_sqlite import ThreadLocalSqlite +from megatron.energon.media.metadata import MediaMetadataBase, deserialize_media_metadata from megatron.energon.source_info import SourceInfo @@ -38,6 +42,9 @@ def get_path(self) -> str: def __str__(self): return f"DecodeFileStore(inner_reader={self.inner_reader}, decoder={self.decoder})" + def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + return self.inner_reader.get_media_metadata(key) + class SystemFileStore(FileStore[bytes]): """A FileStore that reads files directly from the file system.""" @@ -50,6 +57,8 @@ def __init__(self, base_dir: Optional[Union[EPath, str]] = None): """ self.base_dir = EPath(base_dir) if base_dir is not None else None + self._media_metadata_reader: Optional[ThreadLocalSqlite] = None + self._media_metadata_checked = False def __getitem__(self, key: str) -> tuple[bytes, SourceInfo]: # Construct the full path from the dataset path and the file key @@ -76,6 +85,54 @@ def get_path(self) -> str: def __str__(self): return f"SystemFileStore(base_dir={self.base_dir})" + def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + if self.base_dir is None: + raise RuntimeError("Media metadata requires a base directory for SystemFileStore") + + reader = self._ensure_media_metadata_reader() + entry_key = key + row = reader.select_one( + "SELECT metadata_type, metadata_json FROM media_metadata WHERE entry_key = ?", + (entry_key,), + ) + if row is None: + file_path = self.base_dir / entry_key + if file_path.is_file(): + raise RuntimeError( + f"Media metadata missing for {entry_key}. " + "Run `energon prepare --media-metadata` to generate it." + ) + return None + metadata_type, metadata_json = row + return deserialize_media_metadata(metadata_type, metadata_json) + + def _ensure_media_metadata_reader(self) -> ThreadLocalSqlite: + assert self.base_dir is not None + if self._media_metadata_reader is None: + sqlite_path = self.base_dir / MAIN_FOLDER_NAME / "index.sqlite" + if not sqlite_path.is_file(): + raise RuntimeError( + f"Media metadata database missing at {sqlite_path}. " + "Run `energon prepare --media-metadata` for this dataset." + ) + db_uri = f"file:{sqlite_path}?mode=ro&immutable=1" + self._media_metadata_reader = ThreadLocalSqlite(db_uri, is_uri=True) + + if not self._media_metadata_checked: + assert self._media_metadata_reader is not None + exists = self._media_metadata_reader.select_one( + "SELECT name FROM sqlite_master WHERE type='table' AND name='media_metadata'" + ) + if exists is None: + self._media_metadata_reader.thread_close() + self._media_metadata_reader = None + raise RuntimeError( + "Media metadata table missing. Re-run `energon prepare --media-metadata`." + ) + self._media_metadata_checked = True + + return self._media_metadata_reader + class WebdatasetFileStore(SqliteITarEntryReader, FileStore[bytes]): """This dataset will directly read files from the dataset tar files from a prepared energon dataset.""" @@ -85,10 +142,41 @@ def __init__( dataset_path: EPath, ): super().__init__(base_path=dataset_path, key_is_full_entryname=True) + self._media_metadata_available: Optional[bool] = None def get_path(self) -> str: return str(self.base_path) + def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + if self._media_metadata_available is None: + try: + has_metadata = self.sqlite_reader.db_has_media_metadata() + except sqlite3.Error as exc: # pragma: no cover - defensive + raise RuntimeError( + "Failed to inspect media metadata table. Re-run `energon prepare --media-metadata`." + ) from exc + + if not has_metadata: + raise RuntimeError( + "Media metadata is not available for this dataset. " + "Run `energon prepare --media-metadata` to generate it." + ) + + self._media_metadata_available = True + + try: + row = self.sqlite_reader.get_media_metadata(key) + except sqlite3.Error as exc: # pragma: no cover - defensive + raise RuntimeError( + "Failed to load media metadata. Re-run `energon prepare --media-metadata`." + ) from exc + + if row is None: + return None + + metadata_type, metadata_json = row + return deserialize_media_metadata(metadata_type, metadata_json) + class JsonlFileStore(IJsonlReader, FileStore[bytes]): """This dataset will directly read entries from a jsonl file.""" diff --git a/src/megatron/energon/dataset_config.py b/src/megatron/energon/dataset_config.py index eb5fb20c..21890e88 100644 --- a/src/megatron/energon/dataset_config.py +++ b/src/megatron/energon/dataset_config.py @@ -127,6 +127,8 @@ def get_dataset_from_config( ), default_type=StandardWebdatasetFactory, ) + elif ds_type == EnergonDatasetType.FILESYSTEM: + raise ValueError("Filesystem datasets are only supported as auxiliary datasets. ") else: raise ValueError( f"Path {path} does not contain a {MAIN_FOLDER_NAME}/.info.yaml or .info.json file nor is it a jsonl file. " diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 635fbbf7..ad3562e2 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -18,8 +18,9 @@ class SqliteIndexWriter: sqlite_path: EPath db: Optional[sqlite3.Connection] duplicates: List[Tuple[str, int]] + media_metadata_enabled: bool - def __init__(self, sqlite_path: EPath): + def __init__(self, sqlite_path: EPath, *, enable_media_metadata: bool = False): """ Initializes an SQLite database and sets up the samples table: - samples(tar_file_id INTEGER, @@ -42,6 +43,7 @@ def __init__(self, sqlite_path: EPath): # Final path and temporary path self.sqlite_path = sqlite_path + self.media_metadata_enabled = enable_media_metadata # Initialize SQLite connection path = str(self.sqlite_path) @@ -87,6 +89,30 @@ def __init__(self, sqlite_path: EPath): """ ) + if self.media_metadata_enabled: + self.db.execute("DROP TABLE IF EXISTS media_metadata") + self.db.execute( + """ + CREATE TABLE media_metadata ( + entry_key TEXT PRIMARY KEY, + metadata_type TEXT NOT NULL, + metadata_json TEXT NOT NULL + ) + """ + ) + + self.db.execute("DROP TABLE IF EXISTS media_filters") + self.db.execute( + """ + CREATE TABLE media_filters ( + filter_id INTEGER PRIMARY KEY AUTOINCREMENT, + strategy TEXT NOT NULL, + pattern TEXT, + created_at TEXT DEFAULT CURRENT_TIMESTAMP + ) + """ + ) + self.duplicates = [] def append_sample( @@ -140,6 +166,34 @@ def append_part( (tar_file_id, sample_index, part_name, content_byte_offset, content_byte_size), ) + def append_media_metadata( + self, + entry_key: str, + metadata_type: str, + metadata_json: str, + ) -> None: + """Insert or update a media metadata record.""" + + if not self.media_metadata_enabled: + return + + assert self.db is not None, "Database is closed" + + self.db.execute( + """ + INSERT OR REPLACE INTO media_metadata (entry_key, metadata_type, metadata_json) + VALUES (?, ?, ?) + """, + (entry_key, metadata_type, metadata_json), + ) + + def append_media_filter(self, *, strategy: str, pattern: str | None) -> None: + assert self.db is not None, "Database is closed" + self.db.execute( + "INSERT INTO media_filters (strategy, pattern) VALUES (?, ?)", + (strategy, pattern), + ) + def close(self): """ Closes the DB connection. If finalize=True, the temporary database is @@ -283,6 +337,17 @@ def db_has_sample_parts(self) -> bool: self.db.thread_close() return db_exists is not None + def db_has_media_metadata(self) -> bool: + """Check if the database has a media_metadata table.""" + + assert self.db is not None, "Database is closed" + + db_exists = self.db.select_one( + "SELECT name FROM sqlite_master WHERE type='table' AND name='media_metadata'" + ) + self.db.thread_close() + return db_exists is not None + def list_all_samples(self) -> Generator[Tuple[str, int, int], None, None]: """List all sample keys in the database. @@ -414,6 +479,17 @@ def get_sample_pointer_by_key(self, key: str) -> ITarSamplePointer: byte_size=sample[4], ) + def get_media_metadata(self, entry_key: str) -> Tuple[str, str] | None: + """Fetch the media metadata record for an entry, if available.""" + + assert self.db is not None, "Database is closed" + + row = self.db.select_one( + "SELECT metadata_type, metadata_json FROM media_metadata WHERE entry_key = ?", + (entry_key,), + ) + return (row[0], row[1]) if row is not None else None + def close(self): """Close the database connection.""" if self.db is not None: diff --git a/src/megatron/energon/flavors/webdataset/metadata.py b/src/megatron/energon/flavors/webdataset/metadata.py index d90d04fa..514529a6 100644 --- a/src/megatron/energon/flavors/webdataset/metadata.py +++ b/src/megatron/energon/flavors/webdataset/metadata.py @@ -24,6 +24,7 @@ class EnergonDatasetType(Enum): METADATASET = "metadataset" WEBDATASET = "webdataset" JSONL = "jsonl" + FILESYSTEM = "filesystem" INVALID = "invalid" @@ -158,7 +159,12 @@ def get_dataset_type(path: EPath) -> EnergonDatasetType: return EnergonDatasetType.METADATASET else: return EnergonDatasetType.INVALID - elif check_dataset_info_present(path): - return EnergonDatasetType.WEBDATASET + elif path.is_dir(): + if check_dataset_info_present(path): + return EnergonDatasetType.WEBDATASET + metadata_db = path / MAIN_FOLDER_NAME / "index.sqlite" + if metadata_db.is_file(): + return EnergonDatasetType.FILESYSTEM + return EnergonDatasetType.INVALID else: return EnergonDatasetType.INVALID diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index 4fc6b485..468d2123 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -38,6 +38,12 @@ from megatron.energon.flavors.webdataset.indexing import SqliteIndexWriter from megatron.energon.flavors.webdataset.itar import TarIndexWriter from megatron.energon.flavors.webdataset.structs import ShardInfo, WebdatasetInfo, WebdatasetSplits +from megatron.energon.media.extractor import ( + MediaFilterConfig, + extract_metadata, + should_consider_media, +) +from megatron.energon.media.metadata import serialize_media_metadata from megatron.energon.typed_converter import to_json_object logger = logging.getLogger(__name__) @@ -73,6 +79,13 @@ class IndexSamplePart(IndexAggregatable): content_byte_size: int +@edataclass +class IndexMediaMetadata(IndexAggregatable): + entry_key: str + metadata_type: str + metadata_json: str + + @edataclass class IndexShardInfo(IndexAggregatable): shard_info: ShardInfo @@ -92,12 +105,17 @@ class SqliteIndexWriterAggregator( shards: List[ShardInfo] found_parts: Set[str] prog_iter: Iterator + media_metadata_enabled: bool + media_filter: Optional[MediaFilterConfig] def __init__( self, sqlite_path: EPath, total_tasks: int, progress_fn: Optional[Callable[[Iterator[Any], int], Iterator[T]]] = None, + *, + media_metadata_enabled: bool = False, + media_filter: Optional[MediaFilterConfig] = None, ): self.sqlite_path = sqlite_path self.total_tasks = total_tasks @@ -105,6 +123,8 @@ def __init__( self.had_update = False self.shards = [] self.found_parts = set() + self.media_metadata_enabled = media_metadata_enabled + self.media_filter = media_filter if progress_fn is not None: self.prog_iter = progress_fn(iter(range(self.total_tasks)), self.total_tasks) @@ -112,7 +132,9 @@ def __init__( self.prog_iter = iter(range(self.total_tasks)) def on_start(self, aggregator_pool: AggregatorPool) -> None: - self.writer = SqliteIndexWriter(self.sqlite_path) + self.writer = SqliteIndexWriter( + self.sqlite_path, enable_media_metadata=self.media_metadata_enabled + ) def on_item( self, @@ -125,6 +147,13 @@ def on_item( self.had_update = True elif isinstance(item, IndexSamplePart): self.writer.append_part(**asdict(item)) + elif isinstance(item, IndexMediaMetadata): + self.writer.append_media_metadata( + entry_key=item.entry_key, + metadata_type=item.metadata_type, + metadata_json=item.metadata_json, + ) + self.had_update = True elif isinstance(item, IndexShardInfo): # This is a (shard_info, parts) tuple next(self.prog_iter) @@ -137,6 +166,11 @@ def on_item( def on_finish(self, aggregator_pool: AggregatorPool) -> None: assert self.writer is not None, "Writer is not initialized." + if self.media_metadata_enabled and self.media_filter is not None: + self.writer.append_media_filter( + strategy=self.media_filter.strategy.value, + pattern=self.media_filter.pattern, + ) self.writer.close() def get_final_result_data( @@ -153,6 +187,7 @@ def _preprocess_tar( shard_to_idx: Dict[str, int], parent_path: EPath, max_parts: int, + media_filter: Optional[MediaFilterConfig] = None, ) -> Generator[IndexAggregatable, None, None]: """Process a single tar file, i.e. read the tarinfos, generate the tar index and return stats. @@ -206,8 +241,9 @@ def _preprocess_tar( continue base_name = name_match.group(1) + part_name = name_match.group(2) if len(parts) < max_parts: - parts.add(name_match.group(2)) + parts.add(part_name) if last_base_name != base_name: iw.append(member.offset) @@ -227,15 +263,42 @@ def _preprocess_tar( last_base_name = base_name count += 1 + entry_key = f"{base_name}.{part_name}" + # Yield this part of the sample to the aggregator yield IndexSamplePart( tar_file_id=shard_to_idx[path], sample_index=count - 1, - part_name=name_match.group(2), + part_name=part_name, content_byte_offset=member.offset_data, content_byte_size=member.size, ) + if media_filter is not None: + if not should_consider_media(entry_key, media_filter): + continue + file_member = tar.extractfile(member) + if file_member is not None: + data = file_member.read() + extracted = extract_metadata( + data, + media_filter, + filename=entry_key, + ) + if extracted is not None: + metadata_type, metadata_obj = extracted + stored_type, metadata_json = serialize_media_metadata( + metadata_obj + ) + assert stored_type == metadata_type, ( + "Metadata type mismatch after serialization" + ) + yield IndexMediaMetadata( + entry_key=entry_key, + metadata_type=metadata_type.value, + metadata_json=metadata_json, + ) + shard_info.count = count iw.append(tar.offset) if next_index_sample is not None: @@ -307,6 +370,7 @@ def prepare_dataset( progress_fn: Callable[[Iterator[Any], int], Iterator[T]] = (lambda x, y: x), workers: int = 32, tar_index_only: bool = False, + media_filter: Optional[MediaFilterConfig] = None, ) -> Tuple[Set[str], List[Tuple[str, int]]]: """ Preprocess the shards and write the split config. Preprocessing is done in parallel. @@ -340,6 +404,8 @@ def prepare_dataset( parent_path / MAIN_FOLDER_NAME / "index.sqlite", total_tasks=len(paths), progress_fn=progress_fn, + media_metadata_enabled=media_filter is not None, + media_filter=media_filter, ) process_tar = functools.partial( @@ -347,6 +413,7 @@ def prepare_dataset( shard_to_idx=shard_to_idx, parent_path=parent_path, max_parts=50, + media_filter=media_filter, ) pool = AggregatorPool( diff --git a/src/megatron/energon/media/__init__.py b/src/megatron/energon/media/__init__.py new file mode 100644 index 00000000..dcb83eb2 --- /dev/null +++ b/src/megatron/energon/media/__init__.py @@ -0,0 +1,20 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +from .metadata import ( + AVMetadata, + ImageMetadata, + MediaMetadataBase, + MediaMetadataType, + deserialize_media_metadata, + serialize_media_metadata, +) + +__all__ = [ + "AVMetadata", + "ImageMetadata", + "MediaMetadataBase", + "MediaMetadataType", + "deserialize_media_metadata", + "serialize_media_metadata", +] diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py new file mode 100644 index 00000000..68fbd4fc --- /dev/null +++ b/src/megatron/energon/media/extractor.py @@ -0,0 +1,209 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +from __future__ import annotations + +import io +import logging +from dataclasses import dataclass +from enum import Enum +from fnmatch import fnmatch +from pathlib import Path +from typing import Union + +import filetype +from PIL import Image, UnidentifiedImageError + +from megatron.energon.av import AVDecoder +from megatron.energon.media.metadata import ImageMetadata, MediaMetadataBase, MediaMetadataType + +logger = logging.getLogger(__name__) + + +SourceData = Union[bytes, Path] + + +class MediaFilterStrategy(str, Enum): + """Strategy used to decide whether an entry should be treated as media.""" + + EXT = "EXT" # by file extension + TYPE = "TYPE" # by filetype (detected using filetype package) + PATTERN = "PATTERN" # by glob pattern (e.g. '*.jpg') + + +@dataclass(frozen=True) +class MediaFilterConfig: + """Configuration for media detection during dataset preparation.""" + + strategy: MediaFilterStrategy + pattern: str | None = None + + @classmethod + def parse(cls, value: str | None) -> "MediaFilterConfig": + if value is None: + value = "EXT" + + value_upper = value.upper() + + if value_upper == MediaFilterStrategy.EXT.value: + return cls(strategy=MediaFilterStrategy.EXT) + + if value_upper == MediaFilterStrategy.TYPE.value: + return cls(strategy=MediaFilterStrategy.TYPE) + + return cls(strategy=MediaFilterStrategy.PATTERN, pattern=value) + + +_IMAGE_EXTENSIONS: set[str] = { + "bmp", + "gif", + "heic", + "jpeg", + "jpg", + "png", + "tif", + "tiff", + "webp", +} + +_AV_EXTENSIONS: set[str] = { + "aac", + "flac", + "m4a", + "m4v", + "mkv", + "mov", + "mp3", + "mp4", + "ogg", + "wav", + "webm", +} + +_FILETYPE_PROBE_SIZE = 262 + + +def should_consider_media(name: str, config: MediaFilterConfig) -> bool: + """Check whether a file name qualifies for metadata extraction under the filter.""" + + lower_name = name.lower() + + if config.strategy == MediaFilterStrategy.TYPE: + # TYPE detection relies on file content, hence it always requires inspection. + return True + + if config.strategy == MediaFilterStrategy.EXT: + return _guess_type_from_extension(lower_name) is not None + + assert config.pattern is not None, "Pattern strategy requires a glob expression" + return fnmatch(lower_name, config.pattern.lower()) + + +def extract_metadata( + path_or_bytes: SourceData, + config: MediaFilterConfig, + filename: str | None = None, +) -> tuple[MediaMetadataType, MediaMetadataBase] | None: + if isinstance(path_or_bytes, (bytes, bytearray)): + assert filename is not None, "Filename is required when extracting metadata from bytes" + else: + assert filename is None, "Filename is not allowed when extracting metadata from path" + filename = path_or_bytes.name + + media_type = _detect_media_type(filename, config, path_or_bytes) + + if media_type is None: + return None + + metadata = _build_metadata(media_type, path_or_bytes) + if metadata is None: + return None + return media_type, metadata + + +def _detect_media_type( + name: str, + config: MediaFilterConfig, + source: SourceData, +) -> MediaMetadataType | None: + lower_name = name.lower() + extension_guess = _guess_type_from_extension(lower_name) + + if config.strategy == MediaFilterStrategy.EXT: + return extension_guess + + if config.strategy == MediaFilterStrategy.TYPE: + detected = _guess_type_from_filetype(source) + return detected if detected is not None else extension_guess + + assert config.pattern is not None + if not fnmatch(lower_name, config.pattern.lower()): + return None + + if extension_guess is not None: + return extension_guess + + return _guess_type_from_filetype(source) + + +def _guess_type_from_extension(name: str) -> MediaMetadataType | None: + suffix = Path(name).suffix.lstrip(".").lower() + if suffix in _IMAGE_EXTENSIONS: + return MediaMetadataType.IMAGE + if suffix in _AV_EXTENSIONS: + return MediaMetadataType.AV + return None + + +def _guess_type_from_filetype(source: SourceData) -> MediaMetadataType | None: + kind = filetype.guess(source) + + if kind is None or kind.mime is None: + return None + mime = kind.mime + if mime.startswith("image/"): + return MediaMetadataType.IMAGE + if mime.startswith("video/") or mime.startswith("audio/"): + return MediaMetadataType.AV + return None + + +def _build_metadata( + media_type: MediaMetadataType, + source: SourceData, +) -> MediaMetadataBase | None: + if media_type is MediaMetadataType.IMAGE: + return _build_image_metadata(source) + if media_type is MediaMetadataType.AV: + return _build_av_metadata(source) + return None + + +def _build_image_metadata(source: SourceData) -> ImageMetadata | None: + try: + if isinstance(source, (bytes, bytearray)): + source = io.BytesIO(source) + + with Image.open(source) as image: + image.load() + return ImageMetadata( + width=image.width, + height=image.height, + format=image.format or "UNKNOWN", + mode=image.mode or "UNKNOWN", + ) + except UnidentifiedImageError: + logger.debug("Failed to parse image metadata", exc_info=True) + return None + + +def _build_av_metadata(source: SourceData) -> MediaMetadataBase | None: + try: + if isinstance(source, (bytes, bytearray)): + return AVDecoder(io.BytesIO(source)).get_metadata() + else: + with source.open("rb") as stream: + return AVDecoder(stream).get_metadata() + except Exception: # pragma: no cover - depends on external libs/media support + logger.debug("Failed to parse AV metadata", exc_info=True) + return None diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py new file mode 100644 index 00000000..dc0e9320 --- /dev/null +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -0,0 +1,121 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +from __future__ import annotations + +import sqlite3 +from pathlib import Path +from typing import Iterator + +from megatron.energon.epathlib import EPath +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.media.extractor import MediaFilterConfig, extract_metadata +from megatron.energon.media.metadata import serialize_media_metadata + + +def prepare_filesystem_dataset( + root_path: EPath, + media_filter: MediaFilterConfig, + *, + progress: bool, +) -> int: + """Scan a filesystem dataset and materialize media metadata into SQLite. + + Args: + root_path: Dataset root directory. + media_filter: Media filtering configuration. + progress: Whether to display a tqdm progress bar. + + Returns: + Number of metadata entries written to the database. + """ + + # Only supporting local file system, because sqlite does not support remote file systems. + # TODO: Implement remote file systems. Maybe create locally in tmp then upload? + assert str(root_path).startswith("/"), ( + f"SQLite path must be absolute local file system path: {root_path}" + ) + + root = Path(str(root_path)) + assert root.is_dir(), f"Expected directory for filesystem dataset, got {root}" + + meta_dir = root / MAIN_FOLDER_NAME + meta_dir.mkdir(exist_ok=True, parents=True) + + sqlite_path = meta_dir / "index.sqlite" + + connection = sqlite3.connect(str(sqlite_path)) + try: + connection.execute("PRAGMA busy_timeout = 5000;") + connection.execute("PRAGMA locking_mode = EXCLUSIVE;") + connection.execute("PRAGMA journal_mode = DELETE;") + + connection.execute("DROP TABLE IF EXISTS samples") + connection.execute("DROP TABLE IF EXISTS sample_parts") + connection.execute( + """ + CREATE TABLE IF NOT EXISTS media_metadata ( + entry_key TEXT PRIMARY KEY, + metadata_type TEXT NOT NULL, + metadata_json TEXT NOT NULL + ) + """ + ) + connection.execute( + """ + CREATE TABLE IF NOT EXISTS media_filters ( + strategy TEXT NOT NULL, + pattern TEXT, + created_at TEXT DEFAULT CURRENT_TIMESTAMP, + UNIQUE(strategy, pattern) + ) + """ + ) + connection.execute( + "INSERT OR IGNORE INTO media_filters (strategy, pattern) VALUES (?, ?)", + (media_filter.strategy.value, media_filter.pattern), + ) + + def iter_dataset_files() -> Iterator[Path]: + for candidate in root.rglob("*"): + if not candidate.is_file(): + continue + if MAIN_FOLDER_NAME in candidate.parts: + continue + yield candidate + + files_iter = iter_dataset_files() + iterator = None + bar = None + try: + if progress: + from tqdm.auto import tqdm + + bar = tqdm(files_iter, unit="file", desc="Scanning media") + iterator = bar + else: + iterator = files_iter + + inserted = 0 + for file_path in iterator: + metadata_tuple = extract_metadata(file_path, media_filter) + if metadata_tuple is None: + continue + + metadata_type, metadata_obj = metadata_tuple + stored_type, metadata_json = serialize_media_metadata(metadata_obj) + assert stored_type == metadata_type, "Metadata type mismatch" + + entry_key = file_path.relative_to(root).as_posix() + connection.execute( + "INSERT OR REPLACE INTO media_metadata (entry_key, metadata_type, metadata_json) VALUES (?, ?, ?)", + (entry_key, metadata_type.value, metadata_json), + ) + inserted += 1 + connection.commit() + return inserted + finally: + if bar is not None: + bar.close() + finally: + connection.close() diff --git a/src/megatron/energon/media/metadata.py b/src/megatron/energon/media/metadata.py new file mode 100644 index 00000000..625cb80b --- /dev/null +++ b/src/megatron/energon/media/metadata.py @@ -0,0 +1,106 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +from __future__ import annotations + +import json +from dataclasses import asdict +from enum import Enum +from typing import Any, ClassVar, Dict, Mapping, Type, TypeVar + +from megatron.energon.edataclass import edataclass + + +class MediaMetadataType(str, Enum): + """Enumerates the supported media metadata payload kinds.""" + + AV = "av" + IMAGE = "image" + + @classmethod + def from_string(cls, value: str) -> "MediaMetadataType": + try: + return cls(value) + except ValueError as exc: # pragma: no cover - defensive + raise ValueError(f"Unsupported media metadata type: {value!r}") from exc + + +TMetadata = TypeVar("TMetadata", bound="MediaMetadataBase") + + +@edataclass +class MediaMetadataBase: + """Base class for metadata payloads to support typed JSON storage.""" + + metadata_type: ClassVar[MediaMetadataType] + + def to_dict(self) -> Dict[str, Any]: + """Return a JSON-serialisable mapping representation.""" + + return {key: value for key, value in asdict(self).items() if value is not None} + + @classmethod + def from_dict(cls: Type[TMetadata], payload: Mapping[str, Any]) -> TMetadata: + """Construct the metadata object from its JSON representation.""" + + return cls(**payload) + + +@edataclass +class AVMetadata(MediaMetadataBase): + """Metadata of a video or audio asset.""" + + metadata_type: ClassVar[MediaMetadataType] = MediaMetadataType.AV + + video_duration: float | None = None + video_num_frames: int | None = None + video_fps: float | None = None + video_width: int | None = None + video_height: int | None = None + + audio_duration: float | None = None + audio_channels: int | None = None + audio_sample_rate: int | None = None + + +@edataclass +class ImageMetadata(MediaMetadataBase): + """Metadata for an encoded image file.""" + + metadata_type: ClassVar[MediaMetadataType] = MediaMetadataType.IMAGE + + width: int + height: int + format: str + mode: str + + +_MEDIA_METADATA_REGISTRY: Dict[MediaMetadataType, Type[MediaMetadataBase]] = { + MediaMetadataType.AV: AVMetadata, + MediaMetadataType.IMAGE: ImageMetadata, +} + + +def serialize_media_metadata(metadata: MediaMetadataBase) -> tuple[MediaMetadataType, str]: + """Serialise the metadata to a tuple of (type, json.dumps(payload)).""" + + payload_json = json.dumps(metadata.to_dict(), separators=(",", ":")) + return metadata.metadata_type, payload_json + + +def deserialize_media_metadata( + metadata_type: str | MediaMetadataType, + metadata_json: str, +) -> MediaMetadataBase: + """Deserialize a metadata record from stored SQLite values.""" + + if not isinstance(metadata_type, MediaMetadataType): + metadata_type = MediaMetadataType.from_string(metadata_type) + + try: + payload_cls = _MEDIA_METADATA_REGISTRY[metadata_type] + except KeyError as exc: # pragma: no cover - future proofing + raise ValueError(f"Unsupported media metadata type: {metadata_type}") from exc + + payload_dict = json.loads(metadata_json) if metadata_json else {} + return payload_cls.from_dict(payload_dict) diff --git a/src/megatron/energon/metadataset/loader.py b/src/megatron/energon/metadataset/loader.py index c35ac4fb..2056826f 100644 --- a/src/megatron/energon/metadataset/loader.py +++ b/src/megatron/energon/metadataset/loader.py @@ -40,6 +40,8 @@ def load_dataset( ds = DatasetLoader(path=path, **kwargs) ds.post_initialize() return ds + elif ds_type == EnergonDatasetType.FILESYSTEM: + raise ValueError("Filesystem datasets can only be used as auxiliary datasets.") else: raise ValueError(f"Invalid dataset at {path}") diff --git a/src/megatron/energon/metadataset/metadataset_v2.py b/src/megatron/energon/metadataset/metadataset_v2.py index a36e3217..56f3de6a 100644 --- a/src/megatron/energon/metadataset/metadataset_v2.py +++ b/src/megatron/energon/metadataset/metadataset_v2.py @@ -225,6 +225,10 @@ def post_initialize(self, mds_path: Optional[EPath] = None) -> None: new_aux[k].post_initialize(mds_path) self.aux = new_aux + elif ds_type == EnergonDatasetType.FILESYSTEM: + raise ValueError( + "Filesystem datasets are not supported within metadatasets except as auxiliary datasets." + ) else: raise FileNotFoundError(self.path) diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 4ab5302e..3c4892e9 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -26,6 +26,8 @@ get_dataset_info, get_dataset_type, ) +from megatron.energon.media.extractor import MediaFilterConfig +from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset from megatron.energon.metadataset.loader import prepare_metadataset @@ -127,6 +129,17 @@ def printify_json(data: Any) -> Any: help="If set, the tar files will be shuffled before splitting.", is_flag=True, ) +@click.option( + "--media-metadata", + help="Compute and store media metadata during preparation.", + is_flag=True, +) +@click.option( + "--media-filter", + type=str, + default=None, + help="Media detection strategy: EXT (extension, default), TYPE (by filetype), or a glob pattern such as '*.jpg'.", +) def command( path: EPath, progress: bool, @@ -135,6 +148,8 @@ def command( num_workers: int, tar_index_only: bool, shuffle_tars: bool, + media_metadata: bool, + media_filter: Optional[str], ): """Prepare WebDataset for use with energon. @@ -143,16 +158,44 @@ def command( details. """ + if media_filter is not None and not media_metadata: + raise click.UsageError("--media-filter requires --media-metadata") + + if media_metadata and tar_index_only: + raise click.UsageError("--media-metadata cannot be combined with --tar-index-only") + + media_filter_config = MediaFilterConfig.parse(media_filter) if media_metadata else None + ds_type = get_dataset_type(path) if ds_type == EnergonDatasetType.METADATASET: + if media_metadata: + raise click.ClickException( + "Metadatasets cannot store media metadata. Remove --media-metadata to continue." + ) print("Preparing metadataset...") prepare_metadataset(path) return elif ds_type == EnergonDatasetType.JSONL: + if media_metadata: + raise click.ClickException( + "JSONL datasets do not support media metadata. Remove --media-metadata to continue." + ) print("Preparing jsonl dataset...") count = CrudeJsonlDatasetFactory.prepare_dataset(path) print(f"Done. Found {count} samples.") return + elif ds_type == EnergonDatasetType.FILESYSTEM: + if not media_metadata: + click.echo( + "Filesystem datasets only support generating media metadata. Run with --media-metadata." + ) + return + + assert media_filter_config is not None + click.echo("Preparing filesystem dataset and computing media metadata...") + stored = prepare_filesystem_dataset(path, media_filter_config, progress=progress) + click.echo(f"Done. Stored metadata for {stored} files.") + return assert path.is_dir(), f"Path {path} is not a known dataset type" @@ -231,6 +274,7 @@ def progress_fn(els, length=None): tar_index_only=tar_index_only, shuffle_seed=42 if shuffle_tars else None, workers=num_workers, + media_filter=media_filter_config, ) if duplicates: diff --git a/tests/test_crudedataset.py b/tests/test_crudedataset.py index 7ee42801..cc9758c5 100644 --- a/tests/test_crudedataset.py +++ b/tests/test_crudedataset.py @@ -4,9 +4,11 @@ """This module defines tests for crude datasets.""" import gc +import io import logging import pickle import re +import shutil import sys import tempfile import unittest @@ -36,10 +38,38 @@ from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder +from megatron.energon.media.extractor import MediaFilterConfig +from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset +from megatron.energon.media.metadata import AVMetadata, ImageMetadata from megatron.energon.source_info import SourceInfo from megatron.energon.task_encoder.cooking import cooker +def _noise_image_bytes(size: tuple[int, int], fmt: str, seed: int) -> bytes: + import numpy as np + from PIL import Image + + rng = np.random.default_rng(seed) + data = rng.integers(0, 256, size=(size[1], size[0], 3), dtype=np.uint8) + image = Image.fromarray(data.astype(np.uint8), "RGB") + buffer = io.BytesIO() + image.save(buffer, format=fmt) + return buffer.getvalue() + + +def _metadata_description(metadata) -> str: + if isinstance(metadata, ImageMetadata): + return f"IMG-{metadata.width}x{metadata.height}-{metadata.format}" + if isinstance(metadata, AVMetadata): + if metadata.video_fps is not None: + return f"VIDEO-{metadata.video_width}x{metadata.video_height}@{metadata.video_fps}fps-{metadata.video_duration:0.1f}s" + elif metadata.audio_sample_rate is not None: + return f"AUDIO-{metadata.audio_duration:0.1f}s@{metadata.audio_sample_rate}Hz" + else: + return "AV-UNKNOWN" + return "UNKNOWN" + + @edataclass class LazyTextSample(Sample): txt: str @@ -86,6 +116,29 @@ def cook_aux(sample: dict, pkl_source: FileStore, fs_source: FileStore) -> TextS ) +@stateless +@cooker(need_primary=True) +def cook_media_metadata(sample: dict, primary: FileStore, media: FileStore) -> TextSample: + """This cooker loads the media from the primary and auxiliary datasets and + returns a text sample with the metadata descriptions of each.""" + + # print(f"Cooking media metadata for {sample}") + filename = sample["__sources__"][0].file_names[0] + + primary_media_metadata = primary.get_media_metadata(filename) + aux_media_metadata = media.get_media_metadata(filename) + + return TextSample( + **basic_sample_keys(sample), + text="|".join( + [ + _metadata_description(primary_media_metadata), + _metadata_description(aux_media_metadata), + ] + ), + ) + + class CookingTaskEncoder(DefaultTaskEncoder[TextSample, TextSample, TextBatch, TextBatch]): """A simple task encoder for captioning.""" @@ -93,6 +146,7 @@ class CookingTaskEncoder(DefaultTaskEncoder[TextSample, TextSample, TextBatch, T Cooker(cook_text, has_subflavors={"crude_type": "txtpkl"}), Cooker(cook_other, has_subflavors={"crude_type": "otherpkl"}), Cooker(cook_aux, has_subflavors={"crude_type": "aux_random_access"}), + Cooker(cook_media_metadata, has_subflavors={"crude_type": "media_metadata"}), ] def batch(self, samples: List[TextSample]) -> TextBatch: @@ -291,6 +345,30 @@ def setUp(self): ) ) + self.multimedia_wds_path = self.dataset_path / "multimedia_wds" + self.create_multimedia_webdataset(self.multimedia_wds_path) + + self.multimedia_fs_path = self.dataset_path / "multimedia_fs" + self.create_multimedia_filesystem_dataset(self.multimedia_fs_path) + + self.media_mds_path = self.dataset_path / "media_metadataset.yaml" + with open(self.media_mds_path, "w") as f: + f.write( + "\n".join( + [ + "__module__: megatron.energon", + "__class__: MetadatasetV2", + "splits:", + " train:", + " path: multimedia_wds", + " aux:", + " media: filesystem://multimedia_fs", + " subflavors:", + " crude_type: media_metadata", + ] + ) + ) + print(self.dataset_path) def tearDown(self): @@ -326,6 +404,7 @@ def create_crude_text_test_dataset(path: Path, offset: int): split_parts_ratio=[("train", 1.0)], shuffle_seed=None, workers=1, + media_filter=MediaFilterConfig.parse(None), ) with open(path / MAIN_FOLDER_NAME / "dataset.yaml", "w") as f: @@ -341,6 +420,57 @@ def create_crude_text_test_dataset(path: Path, offset: int): ) ) + @staticmethod + def create_multimedia_webdataset(path: Path): + path.mkdir(exist_ok=True, parents=True) + (path / "parts").mkdir(exist_ok=True, parents=True) + + jpg_bytes = _noise_image_bytes((32, 16), "JPEG", seed=0) + png_bytes = _noise_image_bytes((24, 24), "PNG", seed=1) + video_bytes = Path("tests/data/sync_test.mp4").read_bytes() + audio_bytes = Path("tests/data/test_audio.flac").read_bytes() + + with wds.ShardWriter(f"{path}/parts/data-%d.tar", maxcount=10) as shard_writer: + shard_writer.write({"__key__": "image000", "jpg": jpg_bytes}) + shard_writer.write({"__key__": "image001", "png": png_bytes}) + shard_writer.write({"__key__": "audio001", "flac": audio_bytes}) + shard_writer.write({"__key__": "video001", "mp4": video_bytes}) + total_shards = shard_writer.shard + + from megatron.energon.flavors import BaseWebdatasetFactory + + BaseWebdatasetFactory.prepare_dataset( + path, + [f"parts/data-{{0..{total_shards - 1}}}.tar"], + split_parts_ratio=[("train", 1.0)], + shuffle_seed=None, + workers=1, + media_filter=MediaFilterConfig.parse(None), + ) + + with open(path / MAIN_FOLDER_NAME / "dataset.yaml", "w") as f: + f.write( + "\n".join( + [ + "__module__: megatron.energon", + "__class__: CrudeWebdataset", + "subflavors:", + " crude_type: media_metadata", + ] + ) + ) + + @staticmethod + def create_multimedia_filesystem_dataset(path: Path): + path.mkdir(exist_ok=True, parents=True) + + (path / "image000.jpg").write_bytes(_noise_image_bytes((32, 16), "JPEG", seed=0)) + (path / "image001.png").write_bytes(_noise_image_bytes((24, 24), "PNG", seed=1)) + shutil.copyfile("tests/data/sync_test.mp4", path / "video001.mp4") + shutil.copyfile("tests/data/test_audio.flac", path / "audio001.flac") + + prepare_filesystem_dataset(EPath(path), MediaFilterConfig.parse(None), progress=False) + def test_metadataset(self): torch.manual_seed(42) worker_config = WorkerConfig( @@ -701,6 +831,42 @@ def test_aux_filesystem_reference(self): assert sample.txts[0].endswith("|aux|__module__: megatron.ener>") + def test_media_metadata_webdataset(self): + torch.manual_seed(42) + worker_config = WorkerConfig( + rank=0, + world_size=1, + num_workers=0, + ) + + loader = get_savable_loader( + get_train_dataset( + self.media_mds_path, + batch_size=1, + worker_config=worker_config, + task_encoder=CookingTaskEncoder(), + shuffle_buffer_size=None, + max_samples_per_sequence=None, + ) + ) + + descriptions = [] + for _, batch in zip(range(4), loader): + descriptions.extend(batch.txts) + + # from pprint import pprint + # pprint(descriptions, indent=4) + + # The descriptions are like "A|B", where A is the format + # in the WebDataset and B is the format in the auxiliary dataset. + + assert descriptions == [ + "IMG-32x16-JPEG|IMG-32x16-JPEG", + "IMG-24x24-PNG|IMG-24x24-PNG", + "AUDIO-10.0s@32000Hz|AUDIO-10.0s@32000Hz", + "VIDEO-192x108@30.0fps-63.0s|VIDEO-192x108@30.0fps-63.0s", + ] + def test_nomds(self): torch.manual_seed(42) worker_config = WorkerConfig( diff --git a/tests/test_media_pipeline.py b/tests/test_media_pipeline.py new file mode 100644 index 00000000..015001b6 --- /dev/null +++ b/tests/test_media_pipeline.py @@ -0,0 +1,143 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause +import io +import json +import sqlite3 +import tempfile +import unittest +from pathlib import Path + +from PIL import Image + +from megatron.energon.cache.file_store import SystemFileStore +from megatron.energon.epathlib import EPath +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.media.extractor import ( + MediaFilterConfig, + MediaFilterStrategy, + extract_metadata, +) +from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset +from megatron.energon.media.metadata import ( + AVMetadata, + ImageMetadata, + MediaMetadataType, + deserialize_media_metadata, + serialize_media_metadata, +) + + +class MediaPipelineTests(unittest.TestCase): + def _create_sample_image(self, path: Path, *, size: tuple[int, int] = (32, 16)) -> bytes: + image = Image.new("RGB", size, color="blue") + buffer = io.BytesIO() + image.save(buffer, format="JPEG") + buffer.seek(0) + with path.open("wb") as handle: + handle.write(buffer.getvalue()) + return buffer.getvalue() + + def test_av_metadata_roundtrip(self) -> None: + metadata = AVMetadata( + video_duration=1.5, + video_num_frames=45, + video_fps=30.0, + video_width=1920, + video_height=1080, + audio_duration=1.5, + audio_channels=2, + audio_sample_rate=48000, + ) + + metadata_type, payload = serialize_media_metadata(metadata) + + self.assertIs(metadata_type, MediaMetadataType.AV) + restored = deserialize_media_metadata(metadata_type, payload) + self.assertEqual(restored, metadata) + + def test_image_metadata_roundtrip(self) -> None: + metadata = ImageMetadata(width=64, height=32, format="PNG", mode="RGB") + + metadata_type, payload = serialize_media_metadata(metadata) + self.assertIs(metadata_type, MediaMetadataType.IMAGE) + restored = deserialize_media_metadata(metadata_type, payload) + self.assertEqual(restored, metadata) + + def test_extract_metadata_extension_strategy(self) -> None: + config = MediaFilterConfig.parse(None) + image_bytes = self._create_in_memory_image() + + result = extract_metadata(image_bytes, config, filename="sample.png") + self.assertIsNotNone(result) + metadata_type, metadata = result + self.assertEqual(metadata_type, MediaMetadataType.IMAGE) + self.assertEqual(metadata.width, 16) + self.assertEqual(metadata.height, 8) + + def test_extract_metadata_pattern_strategy(self) -> None: + config = MediaFilterConfig.parse("*.png") + image_bytes = self._create_in_memory_image() + + result = extract_metadata(image_bytes, config, filename="folder/sample.png") + self.assertIsNotNone(result) + + def test_extract_metadata_type_strategy(self) -> None: + config = MediaFilterConfig.parse(MediaFilterStrategy.TYPE.value) + image_bytes = self._create_in_memory_image() + + result = extract_metadata(image_bytes, config, filename="ignored.bin") + self.assertIsNotNone(result) + metadata_type, _ = result + self.assertEqual(metadata_type, MediaMetadataType.IMAGE) + + def test_prepare_filesystem_dataset_and_retrieve_metadata(self) -> None: + with tempfile.TemporaryDirectory() as tmp: + tmp_root = Path(tmp) + image_path = tmp_root / "sample.jpg" + self._create_sample_image(image_path) + + config = MediaFilterConfig.parse(None) + stored = prepare_filesystem_dataset(EPath(tmp_root), config, progress=False) + self.assertEqual(stored, 1) + + sqlite_path = tmp_root / MAIN_FOLDER_NAME / "index.sqlite" + self.assertTrue(sqlite_path.is_file()) + + with sqlite3.connect(sqlite_path) as connection: + row = connection.execute( + "SELECT metadata_type, metadata_json FROM media_metadata WHERE entry_key = ?", + ("sample.jpg",), + ).fetchone() + filter_rows = connection.execute( + "SELECT strategy, pattern FROM media_filters" + ).fetchall() + + self.assertIsNotNone(row) + self.assertEqual(json.loads(row[1])["width"], 32) + self.assertEqual(filter_rows, [(MediaFilterStrategy.EXT.value, None)]) + + store = SystemFileStore(tmp_root) + metadata = store.get_media_metadata("sample.jpg") + self.assertIsInstance(metadata, ImageMetadata) + self.assertEqual(metadata.width, 32) + self.assertEqual(metadata.height, 16) + + with sqlite3.connect(sqlite_path) as connection: + connection.execute("DELETE FROM media_metadata") + connection.commit() + + with self.assertRaises(RuntimeError): + store.get_media_metadata("sample.jpg") + + image_path.unlink() + self.assertIsNone(store.get_media_metadata("sample.jpg")) + + def _create_in_memory_image(self) -> bytes: + image = Image.new("RGB", (16, 8), color="red") + buffer = io.BytesIO() + image.save(buffer, format="PNG") + return buffer.getvalue() + + +if __name__ == "__main__": + unittest.main() From ded4fec7a464f0d24e773bee7296212ed59613ee Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 18/80] Fix test --- tests/test_media_pipeline.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/tests/test_media_pipeline.py b/tests/test_media_pipeline.py index 015001b6..7e1a5127 100644 --- a/tests/test_media_pipeline.py +++ b/tests/test_media_pipeline.py @@ -122,15 +122,7 @@ def test_prepare_filesystem_dataset_and_retrieve_metadata(self) -> None: self.assertEqual(metadata.width, 32) self.assertEqual(metadata.height, 16) - with sqlite3.connect(sqlite_path) as connection: - connection.execute("DELETE FROM media_metadata") - connection.commit() - - with self.assertRaises(RuntimeError): - store.get_media_metadata("sample.jpg") - image_path.unlink() - self.assertIsNone(store.get_media_metadata("sample.jpg")) def _create_in_memory_image(self) -> bytes: image = Image.new("RGB", (16, 8), color="red") From 4e28ba60c39545eaa9771585934d8d36daad7c3f Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 19/80] Address review comments --- src/megatron/energon/cache/file_store.py | 13 ++++++++----- .../energon/flavors/webdataset/metadata.py | 15 ++++++++------- 2 files changed, 16 insertions(+), 12 deletions(-) diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index 730a2be0..97de0be7 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -10,6 +10,7 @@ from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.itar_reader import SqliteITarEntryReader from megatron.energon.flavors.webdataset.thread_local_sqlite import ThreadLocalSqlite +from megatron.energon.local_copy import ensure_local_copy from megatron.energon.media.metadata import MediaMetadataBase, deserialize_media_metadata from megatron.energon.source_info import SourceInfo @@ -90,16 +91,15 @@ def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: raise RuntimeError("Media metadata requires a base directory for SystemFileStore") reader = self._ensure_media_metadata_reader() - entry_key = key row = reader.select_one( "SELECT metadata_type, metadata_json FROM media_metadata WHERE entry_key = ?", - (entry_key,), + (key,), ) if row is None: - file_path = self.base_dir / entry_key + file_path = self.base_dir / key if file_path.is_file(): raise RuntimeError( - f"Media metadata missing for {entry_key}. " + f"Media metadata missing for {key}. " "Run `energon prepare --media-metadata` to generate it." ) return None @@ -110,12 +110,15 @@ def _ensure_media_metadata_reader(self) -> ThreadLocalSqlite: assert self.base_dir is not None if self._media_metadata_reader is None: sqlite_path = self.base_dir / MAIN_FOLDER_NAME / "index.sqlite" + if not sqlite_path.is_file(): raise RuntimeError( f"Media metadata database missing at {sqlite_path}. " "Run `energon prepare --media-metadata` for this dataset." ) - db_uri = f"file:{sqlite_path}?mode=ro&immutable=1" + + local_sqlite_path = ensure_local_copy(sqlite_path) + db_uri = f"file:{str(local_sqlite_path)}?mode=ro&immutable=1" self._media_metadata_reader = ThreadLocalSqlite(db_uri, is_uri=True) if not self._media_metadata_checked: diff --git a/src/megatron/energon/flavors/webdataset/metadata.py b/src/megatron/energon/flavors/webdataset/metadata.py index 514529a6..8af6364f 100644 --- a/src/megatron/energon/flavors/webdataset/metadata.py +++ b/src/megatron/energon/flavors/webdataset/metadata.py @@ -152,6 +152,8 @@ def get_dataset_type(path: EPath) -> EnergonDatasetType: Returns: The type of the dataset. """ + metadata_db = path / MAIN_FOLDER_NAME / "index.sqlite" + if path.is_file(): if path.name.endswith(".jsonl"): return EnergonDatasetType.JSONL @@ -159,12 +161,11 @@ def get_dataset_type(path: EPath) -> EnergonDatasetType: return EnergonDatasetType.METADATASET else: return EnergonDatasetType.INVALID - elif path.is_dir(): - if check_dataset_info_present(path): - return EnergonDatasetType.WEBDATASET - metadata_db = path / MAIN_FOLDER_NAME / "index.sqlite" - if metadata_db.is_file(): - return EnergonDatasetType.FILESYSTEM - return EnergonDatasetType.INVALID + elif check_dataset_info_present(path): + return EnergonDatasetType.WEBDATASET + elif metadata_db.is_file(): + # There is an sqlite, but no .info.json or .info.yaml, + # so it's a filesystem dataset + return EnergonDatasetType.FILESYSTEM else: return EnergonDatasetType.INVALID From 45e7d31683cdfc4cd547098c67afdc8dfacefdd6 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 20/80] New prepare-media command. Introduce parallelism for filesystem prepare. --- src/megatron/energon/cli/main.py | 6 +- .../energon/flavors/webdataset/indexing.py | 110 +++++---- .../energon/flavors/webdataset/prepare.py | 24 +- .../energon/media/filesystem_prepare.py | 214 +++++++++++------- src/megatron/energon/tools/prepare.py | 71 +++++- 5 files changed, 279 insertions(+), 146 deletions(-) diff --git a/src/megatron/energon/cli/main.py b/src/megatron/energon/cli/main.py index c9f72a59..0b38c1f6 100644 --- a/src/megatron/energon/cli/main.py +++ b/src/megatron/energon/cli/main.py @@ -10,7 +10,10 @@ from megatron.energon.tools.info import command as info_command from megatron.energon.tools.lint import command as lint_command from megatron.energon.tools.mount import command as mount_command -from megatron.energon.tools.prepare import command as prepare_command +from megatron.energon.tools.prepare import ( + command as prepare_command, + prepare_media_command, +) from megatron.energon.tools.preview import command as preview_command @@ -56,6 +59,7 @@ def main(ctx): main.add_command(info_command) main.add_command(mount_command) main.add_command(prepare_command) +main.add_command(prepare_media_command) main.add_command(preview_command) if __name__ == "__main__": diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index ad3562e2..399b7aeb 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -18,9 +18,18 @@ class SqliteIndexWriter: sqlite_path: EPath db: Optional[sqlite3.Connection] duplicates: List[Tuple[str, int]] - media_metadata_enabled: bool + enable_sample_tables: bool + enable_media_metadata: bool + reset_tables: bool - def __init__(self, sqlite_path: EPath, *, enable_media_metadata: bool = False): + def __init__( + self, + sqlite_path: EPath, + *, + enable_sample_tables: bool = True, + enable_media_metadata: bool = False, + reset_tables: bool = True, + ): """ Initializes an SQLite database and sets up the samples table: - samples(tar_file_id INTEGER, @@ -43,7 +52,9 @@ def __init__(self, sqlite_path: EPath, *, enable_media_metadata: bool = False): # Final path and temporary path self.sqlite_path = sqlite_path - self.media_metadata_enabled = enable_media_metadata + self.enable_sample_tables = enable_sample_tables + self.enable_media_metadata = enable_media_metadata + self.reset_tables = reset_tables # Initialize SQLite connection path = str(self.sqlite_path) @@ -57,61 +68,63 @@ def __init__(self, sqlite_path: EPath, *, enable_media_metadata: bool = False): self.db.execute("PRAGMA busy_timeout = 5000;") # wait up to 5000ms when locked self.db.execute("PRAGMA journal_mode = WAL;") - # Create the sample table - self.db.execute("DROP INDEX IF EXISTS idx_samples_sample_key") - self.db.execute("DROP INDEX IF EXISTS idx_samples_by_tar_and_idx") - self.db.execute("DROP TABLE IF EXISTS samples") - self.db.execute( - """ - CREATE TABLE samples ( - tar_file_id INTEGER, - sample_key TEXT, - sample_index INTEGER, - byte_offset INTEGER, - byte_size INTEGER - ) - """ - ) + if self.enable_sample_tables: + if self.reset_tables: + self.db.execute("DROP INDEX IF EXISTS idx_samples_sample_key") + self.db.execute("DROP INDEX IF EXISTS idx_samples_by_tar_and_idx") + self.db.execute("DROP TABLE IF EXISTS samples") - # Create the sample parts table - self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_seq") - self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_full") - self.db.execute("DROP TABLE IF EXISTS sample_parts") - self.db.execute( - """ - CREATE TABLE sample_parts ( - tar_file_id INTEGER, - sample_index INTEGER, - part_name TEXT, - content_byte_offset INTEGER, - content_byte_size INTEGER + self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_seq") + self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_full") + self.db.execute("DROP TABLE IF EXISTS sample_parts") + + self.db.execute( + """ + CREATE TABLE IF NOT EXISTS samples ( + tar_file_id INTEGER, + sample_key TEXT, + sample_index INTEGER, + byte_offset INTEGER, + byte_size INTEGER + ) + """ + ) + self.db.execute( + """ + CREATE TABLE IF NOT EXISTS sample_parts ( + tar_file_id INTEGER, + sample_index INTEGER, + part_name TEXT, + content_byte_offset INTEGER, + content_byte_size INTEGER + ) + """ ) - """ - ) - if self.media_metadata_enabled: - self.db.execute("DROP TABLE IF EXISTS media_metadata") + if self.enable_media_metadata: + if self.reset_tables: + self.db.execute("DROP TABLE IF EXISTS media_metadata") + self.db.execute("DROP TABLE IF EXISTS media_filters") self.db.execute( """ - CREATE TABLE media_metadata ( + CREATE TABLE IF NOT EXISTS media_metadata ( entry_key TEXT PRIMARY KEY, metadata_type TEXT NOT NULL, metadata_json TEXT NOT NULL ) """ ) - - self.db.execute("DROP TABLE IF EXISTS media_filters") - self.db.execute( - """ - CREATE TABLE media_filters ( - filter_id INTEGER PRIMARY KEY AUTOINCREMENT, - strategy TEXT NOT NULL, - pattern TEXT, - created_at TEXT DEFAULT CURRENT_TIMESTAMP + self.db.execute( + """ + CREATE TABLE IF NOT EXISTS media_filters ( + filter_id INTEGER PRIMARY KEY AUTOINCREMENT, + strategy TEXT NOT NULL, + pattern TEXT, + created_at TEXT DEFAULT CURRENT_TIMESTAMP, + UNIQUE(strategy, pattern) + ) + """ ) - """ - ) self.duplicates = [] @@ -174,8 +187,7 @@ def append_media_metadata( ) -> None: """Insert or update a media metadata record.""" - if not self.media_metadata_enabled: - return + assert self.enable_media_metadata, "Adding media metadata, although not enabled" assert self.db is not None, "Database is closed" @@ -190,7 +202,7 @@ def append_media_metadata( def append_media_filter(self, *, strategy: str, pattern: str | None) -> None: assert self.db is not None, "Database is closed" self.db.execute( - "INSERT INTO media_filters (strategy, pattern) VALUES (?, ?)", + "INSERT OR IGNORE INTO media_filters (strategy, pattern) VALUES (?, ?)", (strategy, pattern), ) diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index 468d2123..f65faeb7 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -105,8 +105,11 @@ class SqliteIndexWriterAggregator( shards: List[ShardInfo] found_parts: Set[str] prog_iter: Iterator - media_metadata_enabled: bool + enable_sample_tables: bool + enable_media_metadata: bool media_filter: Optional[MediaFilterConfig] + reset_tables: bool + media_metadata_written: int def __init__( self, @@ -114,8 +117,10 @@ def __init__( total_tasks: int, progress_fn: Optional[Callable[[Iterator[Any], int], Iterator[T]]] = None, *, - media_metadata_enabled: bool = False, + enable_sample_tables: bool = True, + enable_media_metadata: bool = False, media_filter: Optional[MediaFilterConfig] = None, + reset_tables: bool = True, ): self.sqlite_path = sqlite_path self.total_tasks = total_tasks @@ -123,8 +128,11 @@ def __init__( self.had_update = False self.shards = [] self.found_parts = set() - self.media_metadata_enabled = media_metadata_enabled + self.enable_sample_tables = enable_sample_tables + self.enable_media_metadata = enable_media_metadata self.media_filter = media_filter + self.reset_tables = reset_tables + self.media_metadata_written = 0 if progress_fn is not None: self.prog_iter = progress_fn(iter(range(self.total_tasks)), self.total_tasks) @@ -133,7 +141,10 @@ def __init__( def on_start(self, aggregator_pool: AggregatorPool) -> None: self.writer = SqliteIndexWriter( - self.sqlite_path, enable_media_metadata=self.media_metadata_enabled + self.sqlite_path, + enable_sample_tables=self.enable_sample_tables, + enable_media_metadata=self.enable_media_metadata, + reset_tables=self.reset_tables, ) def on_item( @@ -154,6 +165,7 @@ def on_item( metadata_json=item.metadata_json, ) self.had_update = True + self.media_metadata_written += 1 elif isinstance(item, IndexShardInfo): # This is a (shard_info, parts) tuple next(self.prog_iter) @@ -166,7 +178,7 @@ def on_item( def on_finish(self, aggregator_pool: AggregatorPool) -> None: assert self.writer is not None, "Writer is not initialized." - if self.media_metadata_enabled and self.media_filter is not None: + if self.enable_media_metadata and self.media_filter is not None: self.writer.append_media_filter( strategy=self.media_filter.strategy.value, pattern=self.media_filter.pattern, @@ -404,7 +416,7 @@ def prepare_dataset( parent_path / MAIN_FOLDER_NAME / "index.sqlite", total_tasks=len(paths), progress_fn=progress_fn, - media_metadata_enabled=media_filter is not None, + enable_media_metadata=media_filter is not None, media_filter=media_filter, ) diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index dc0e9320..baeb7fca 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -3,13 +3,24 @@ from __future__ import annotations -import sqlite3 +import os +from functools import partial from pathlib import Path -from typing import Iterator +from typing import Iterable, Iterator from megatron.energon.epathlib import EPath +from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME -from megatron.energon.media.extractor import MediaFilterConfig, extract_metadata +from megatron.energon.flavors.webdataset.prepare import ( + IndexMediaMetadata, + SqliteIndexWriterAggregator, +) +from megatron.energon.media.extractor import ( + MediaFilterConfig, + MediaFilterStrategy, + extract_metadata, + should_consider_media, +) from megatron.energon.media.metadata import serialize_media_metadata @@ -18,6 +29,7 @@ def prepare_filesystem_dataset( media_filter: MediaFilterConfig, *, progress: bool, + workers: int = 16, ) -> int: """Scan a filesystem dataset and materialize media metadata into SQLite. @@ -38,84 +50,128 @@ def prepare_filesystem_dataset( root = Path(str(root_path)) assert root.is_dir(), f"Expected directory for filesystem dataset, got {root}" + assert root.is_absolute(), f"Filesystem dataset path must be absolute: {root}" meta_dir = root / MAIN_FOLDER_NAME meta_dir.mkdir(exist_ok=True, parents=True) - sqlite_path = meta_dir / "index.sqlite" - - connection = sqlite3.connect(str(sqlite_path)) - try: - connection.execute("PRAGMA busy_timeout = 5000;") - connection.execute("PRAGMA locking_mode = EXCLUSIVE;") - connection.execute("PRAGMA journal_mode = DELETE;") - - connection.execute("DROP TABLE IF EXISTS samples") - connection.execute("DROP TABLE IF EXISTS sample_parts") - connection.execute( - """ - CREATE TABLE IF NOT EXISTS media_metadata ( - entry_key TEXT PRIMARY KEY, - metadata_type TEXT NOT NULL, - metadata_json TEXT NOT NULL - ) - """ - ) - connection.execute( - """ - CREATE TABLE IF NOT EXISTS media_filters ( - strategy TEXT NOT NULL, - pattern TEXT, - created_at TEXT DEFAULT CURRENT_TIMESTAMP, - UNIQUE(strategy, pattern) + files = _collect_media_files(root=root, media_filter=media_filter, progress=progress) + + sqlite_path = EPath(meta_dir / "index.sqlite") + + aggregator = SqliteIndexWriterAggregator( + sqlite_path, + total_tasks=len(files), + progress_fn=None, + enable_media_metadata=True, + media_filter=media_filter, + reset_tables=False, + enable_sample_tables=False, + ) + + pool = AggregatorPool[ + Path, + IndexMediaMetadata, + tuple, + ]( + num_workers=min(workers, len(files)) or 1, + user_produce_data=partial( + _process_filesystem_entry, + root=root, + media_filter=media_filter, + ), + aggregator=aggregator, + ) + + if progress: + from tqdm.auto import tqdm + + def progress_fn( + iterable: Iterable[Path], + length: int | None = None, + ) -> Iterator[Path]: + yield from tqdm( + iterable, + total=length, + unit="file", + desc="Scheduling media files", ) - """ - ) - connection.execute( - "INSERT OR IGNORE INTO media_filters (strategy, pattern) VALUES (?, ?)", - (media_filter.strategy.value, media_filter.pattern), - ) - - def iter_dataset_files() -> Iterator[Path]: - for candidate in root.rglob("*"): - if not candidate.is_file(): - continue - if MAIN_FOLDER_NAME in candidate.parts: - continue - yield candidate - - files_iter = iter_dataset_files() - iterator = None - bar = None - try: - if progress: - from tqdm.auto import tqdm - - bar = tqdm(files_iter, unit="file", desc="Scanning media") - iterator = bar - else: - iterator = files_iter - - inserted = 0 - for file_path in iterator: - metadata_tuple = extract_metadata(file_path, media_filter) - if metadata_tuple is None: - continue - - metadata_type, metadata_obj = metadata_tuple - stored_type, metadata_json = serialize_media_metadata(metadata_obj) - assert stored_type == metadata_type, "Metadata type mismatch" - - entry_key = file_path.relative_to(root).as_posix() - connection.execute( - "INSERT OR REPLACE INTO media_metadata (entry_key, metadata_type, metadata_json) VALUES (?, ?, ?)", - (entry_key, metadata_type.value, metadata_json), - ) - inserted += 1 - connection.commit() - return inserted - finally: - if bar is not None: - bar.close() - finally: - connection.close() + else: + + def progress_fn( + iterable: Iterable[Path], + length: int | None = None, + ) -> Iterator[Path]: + yield from iterable + + for file_path in progress_fn(files, len(files) or None): + pool.submit_task(file_path) + + pool.process() + + return aggregator.media_metadata_written + + +def _collect_media_files( + *, root: Path, media_filter: MediaFilterConfig, progress: bool = False +) -> list[Path]: + """Return a sorted list of files to process based on the media filter.""" + + consider_all = media_filter.strategy == MediaFilterStrategy.TYPE + files: list[Path] = [] + + progress_bar = None + if progress: + from tqdm.auto import tqdm + + progress_bar = tqdm(total=None, unit="file", desc="Collecting media files") + + for dirpath, dirnames, filenames in os.walk(root, followlinks=False): + current_dir = Path(dirpath) + + if current_dir.name == MAIN_FOLDER_NAME: + dirnames[:] = [] + continue + + dirnames[:] = [d for d in dirnames if d != MAIN_FOLDER_NAME] + + for filename in filenames: + if progress_bar is not None: + progress_bar.update() + + if not consider_all and not should_consider_media(filename, media_filter): + continue + + candidate = current_dir / filename + if MAIN_FOLDER_NAME in candidate.parts: + continue + + if candidate.is_file(): + files.append(candidate) + + if progress_bar is not None: + progress_bar.close() + + return files + + +def _process_filesystem_entry( + file_path: str, + *, + root: Path, + media_filter: MediaFilterConfig, +) -> Iterator[IndexMediaMetadata]: + file_path = Path(file_path) + metadata_tuple = extract_metadata(file_path, media_filter) + if metadata_tuple is None: + return + + metadata_type, metadata_obj = metadata_tuple + stored_type, metadata_json = serialize_media_metadata(metadata_obj) + entry_key = file_path.relative_to(root).as_posix() + + yield IndexMediaMetadata( + entry_key=entry_key, + metadata_type=stored_type.value, + metadata_json=metadata_json, + ) diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 3c4892e9..6f4c763f 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -185,17 +185,9 @@ def command( print(f"Done. Found {count} samples.") return elif ds_type == EnergonDatasetType.FILESYSTEM: - if not media_metadata: - click.echo( - "Filesystem datasets only support generating media metadata. Run with --media-metadata." - ) - return - - assert media_filter_config is not None - click.echo("Preparing filesystem dataset and computing media metadata...") - stored = prepare_filesystem_dataset(path, media_filter_config, progress=progress) - click.echo(f"Done. Stored metadata for {stored} files.") - return + raise click.ClickException( + "Filesystem datasets must be prepared using 'energon prepare-media'." + ) assert path.is_dir(), f"Path {path} is not a known dataset type" @@ -453,5 +445,62 @@ def progress_fn(els, length=None): click.echo("Done") +@click.command(name="prepare-media") +@click.argument( + "path", + type=click.Path(path_type=EPath), +) +@click.option( + "--progress/--no-progress", + default=True, +) +@click.option( + "--num-workers", + type=int, + default=16, + help="Number of workers to use to scan files", +) +@click.option( + "--media-metadata/--no-media-metadata", + default=True, + help="Compute and store media metadata during preparation.", +) +@click.option( + "--media-filter", + type=str, + default=None, + help="Media detection strategy: EXT (extension, default), TYPE (by filetype), or a glob pattern such as '*.jpg'.", +) +def prepare_media_command( + path: EPath, + progress: bool, + num_workers: int, + media_metadata: bool, + media_filter: Optional[str], +): + """Prepare a filesystem dataset by collecting media metadata.""" + + if not media_metadata: + click.echo("Skipping media metadata generation (--no-media-metadata). Nothing to do.") + return + + ds_type = get_dataset_type(path) + if ds_type not in (EnergonDatasetType.FILESYSTEM, EnergonDatasetType.INVALID): + raise click.ClickException( + f"'prepare-media' only supports filesystem datasets, but this path is a '{ds_type}' dataset" + ) + + media_filter_config = MediaFilterConfig.parse(media_filter) + + click.echo("Preparing filesystem dataset and computing media metadata...") + stored = prepare_filesystem_dataset( + path, + media_filter_config, + progress=progress, + workers=num_workers, + ) + click.echo(f"Done. Stored metadata for {stored} files.") + + if __name__ == "__main__": command() From 25106f9ff3662b7a75b700ac1aa81410b570fe29 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 21/80] Ruff --- src/megatron/energon/cli/main.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/megatron/energon/cli/main.py b/src/megatron/energon/cli/main.py index 0b38c1f6..013b32c3 100644 --- a/src/megatron/energon/cli/main.py +++ b/src/megatron/energon/cli/main.py @@ -12,6 +12,8 @@ from megatron.energon.tools.mount import command as mount_command from megatron.energon.tools.prepare import ( command as prepare_command, +) +from megatron.energon.tools.prepare import ( prepare_media_command, ) from megatron.energon.tools.preview import command as preview_command From 043227aab28b62ff1ffb0f0465b0c5d8b0092424 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 22/80] Fix bug with sqlite index --- .../energon/flavors/webdataset/indexing.py | 47 ++++++++++--------- 1 file changed, 25 insertions(+), 22 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 399b7aeb..612f7d22 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -213,32 +213,35 @@ def close(self): """ assert self.db is not None, "Database is closed" - # Create the index after adding all the samples for better speed - # Index on sample_key for fast lookups - self.db.execute("CREATE INDEX IF NOT EXISTS idx_samples_sample_key ON samples(sample_key)") + if self.enable_sample_tables: + # Create the index after adding all the samples for better speed + # Index on sample_key for fast lookups + self.db.execute( + "CREATE INDEX IF NOT EXISTS idx_samples_sample_key ON samples(sample_key)" + ) - # Create index on the samples table. Help the planner if it chooses `samples` as the probe side of the join - self.db.execute( - "CREATE INDEX IF NOT EXISTS idx_samples_by_tar_and_idx ON samples(tar_file_id, sample_index)" - ) + # Create index on the samples table. Help the planner if it chooses `samples` as the probe side of the join + self.db.execute( + "CREATE INDEX IF NOT EXISTS idx_samples_by_tar_and_idx ON samples(tar_file_id, sample_index)" + ) - # Create index on the sample_parts table for fast sequential access - self.db.execute( - "CREATE INDEX IF NOT EXISTS idx_sample_parts_seq ON sample_parts(tar_file_id, sample_index, content_byte_offset)" - ) + # Create index on the sample_parts table for fast sequential access + self.db.execute( + "CREATE INDEX IF NOT EXISTS idx_sample_parts_seq ON sample_parts(tar_file_id, sample_index, content_byte_offset)" + ) - # Create a full index on the sample_parts table for equality lookups and getting offsets directly from key - self.db.execute( - "CREATE INDEX IF NOT EXISTS idx_sample_parts_full ON sample_parts(tar_file_id, sample_index, part_name, content_byte_offset, content_byte_size)" - ) + # Create a full index on the sample_parts table for equality lookups and getting offsets directly from key + self.db.execute( + "CREATE INDEX IF NOT EXISTS idx_sample_parts_full ON sample_parts(tar_file_id, sample_index, part_name, content_byte_offset, content_byte_size)" + ) - # Check if sample_key are all unique - # self.db.execute("CREATE TEMP TABLE temp AS SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1") - duplicates = self.db.execute( - "SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1 LIMIT 5" - ).fetchall() - if len(duplicates) > 0: - self.duplicates = duplicates + # Check if sample_key are all unique + # self.db.execute("CREATE TEMP TABLE temp AS SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1") + duplicates = self.db.execute( + "SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1 LIMIT 5" + ).fetchall() + if len(duplicates) > 0: + self.duplicates = duplicates if self.db is not None: self.db.commit() From 5275e44d2497e1cf8145030f71c9a25c9b9e3de1 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 23/80] Fix progress --- .../energon/flavors/webdataset/prepare.py | 14 ++++++- .../energon/media/filesystem_prepare.py | 39 +++++++------------ 2 files changed, 27 insertions(+), 26 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index f65faeb7..90471b33 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -110,6 +110,7 @@ class SqliteIndexWriterAggregator( media_filter: Optional[MediaFilterConfig] reset_tables: bool media_metadata_written: int + progress_on_media: bool def __init__( self, @@ -121,6 +122,7 @@ def __init__( enable_media_metadata: bool = False, media_filter: Optional[MediaFilterConfig] = None, reset_tables: bool = True, + progress_on_media: bool = False, ): self.sqlite_path = sqlite_path self.total_tasks = total_tasks @@ -133,6 +135,7 @@ def __init__( self.media_filter = media_filter self.reset_tables = reset_tables self.media_metadata_written = 0 + self.progress_on_media = progress_on_media if progress_fn is not None: self.prog_iter = progress_fn(iter(range(self.total_tasks)), self.total_tasks) @@ -166,9 +169,12 @@ def on_item( ) self.had_update = True self.media_metadata_written += 1 + if self.progress_on_media: + self._advance_progress() elif isinstance(item, IndexShardInfo): # This is a (shard_info, parts) tuple - next(self.prog_iter) + if not self.progress_on_media: + self._advance_progress() shard_info, cur_parts = item.shard_info, item.parts assert shard_info.count != 0, f"Shard {shard_info.name} has no samples." @@ -191,6 +197,12 @@ def get_final_result_data( assert self.writer is not None, "Writer is not initialized." return self.shards, self.found_parts, self.had_update, self.writer.duplicates + def _advance_progress(self) -> None: + try: + next(self.prog_iter) + except StopIteration: + pass + class WebdatasetPreparator: @staticmethod diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index baeb7fca..086e254e 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -6,7 +6,7 @@ import os from functools import partial from pathlib import Path -from typing import Iterable, Iterator +from typing import Callable, Iterator from megatron.energon.epathlib import EPath from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool @@ -59,14 +59,23 @@ def prepare_filesystem_dataset( sqlite_path = EPath(meta_dir / "index.sqlite") + agg_progress_fn: Callable[[Iterator[int], int], Iterator[int]] | None = None + if progress: + from tqdm.auto import tqdm + + def agg_progress_fn(iterator: Iterator[int], total: int) -> Iterator[int]: + with tqdm(iterator, total=total, unit="file", desc="Processing media files") as bar: + yield from bar + aggregator = SqliteIndexWriterAggregator( sqlite_path, total_tasks=len(files), - progress_fn=None, + progress_fn=agg_progress_fn, enable_media_metadata=True, media_filter=media_filter, reset_tables=False, enable_sample_tables=False, + progress_on_media=progress, ) pool = AggregatorPool[ @@ -83,28 +92,7 @@ def prepare_filesystem_dataset( aggregator=aggregator, ) - if progress: - from tqdm.auto import tqdm - - def progress_fn( - iterable: Iterable[Path], - length: int | None = None, - ) -> Iterator[Path]: - yield from tqdm( - iterable, - total=length, - unit="file", - desc="Scheduling media files", - ) - else: - - def progress_fn( - iterable: Iterable[Path], - length: int | None = None, - ) -> Iterator[Path]: - yield from iterable - - for file_path in progress_fn(files, len(files) or None): + for file_path in files: pool.submit_task(file_path) pool.process() @@ -152,11 +140,12 @@ def _collect_media_files( if progress_bar is not None: progress_bar.close() + files.sort() return files def _process_filesystem_entry( - file_path: str, + file_path: Path | str, *, root: Path, media_filter: MediaFilterConfig, From 2a65194ffee5db718c586dd0620affa3b9e26c90 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 24/80] Update existing WDS with prepare-media command --- .../energon/flavors/webdataset/indexing.py | 1 - .../energon/flavors/webdataset/prepare.py | 176 +++++++++++++++--- src/megatron/energon/media/extractor.py | 24 ++- .../energon/media/filesystem_prepare.py | 7 +- .../metadataset/join_dataset_loader.py | 1 - src/megatron/energon/tools/prepare.py | 35 +++- tests/test_media_pipeline.py | 18 +- 7 files changed, 211 insertions(+), 51 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 612f7d22..2d7a06a6 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -66,7 +66,6 @@ def __init__( Path(path).parent.mkdir(parents=True, exist_ok=True) self.db = sqlite3.connect(path) self.db.execute("PRAGMA busy_timeout = 5000;") # wait up to 5000ms when locked - self.db.execute("PRAGMA journal_mode = WAL;") if self.enable_sample_tables: if self.reset_tables: diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index 90471b33..ccf1df77 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -37,6 +37,7 @@ from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME, skip_meta_re, split_name_re from megatron.energon.flavors.webdataset.indexing import SqliteIndexWriter from megatron.energon.flavors.webdataset.itar import TarIndexWriter +from megatron.energon.flavors.webdataset.metadata import get_dataset_info from megatron.energon.flavors.webdataset.structs import ShardInfo, WebdatasetInfo, WebdatasetSplits from megatron.energon.media.extractor import ( MediaFilterConfig, @@ -205,6 +206,29 @@ def _advance_progress(self) -> None: class WebdatasetPreparator: + @staticmethod + def _iter_tar_sample_members( + tar: tarfile.TarFile, + ) -> Iterator[Tuple[tarfile.TarInfo, str, str]]: + """Yield (member, base_name, part_name) for relevant tar entries.""" + + member: tarfile.TarInfo + for member in tar: + if not member.isreg(): + continue + if member.name is None: + continue + if skip_meta_re.match(member.name): + continue + + name_match = split_name_re.match(member.name) + if name_match is None: + continue + + base_name = name_match.group(1) + part_name = name_match.group(2) + yield member, base_name, part_name + @staticmethod def _preprocess_tar( path: str, @@ -248,24 +272,14 @@ def _preprocess_tar( parts = set() last_base_name = None - member: tarfile.TarInfo next_index_sample = None - for member in tar: - if not member.isreg(): - continue - if member.name is None: - continue - if skip_meta_re.match(member.name): - continue - - name_match = split_name_re.match(member.name) - if name_match is None: - continue - - base_name = name_match.group(1) - part_name = name_match.group(2) + for ( + member, + base_name, + part_name, + ) in WebdatasetPreparator._iter_tar_sample_members(tar): if len(parts) < max_parts: parts.add(part_name) @@ -304,22 +318,18 @@ def _preprocess_tar( file_member = tar.extractfile(member) if file_member is not None: data = file_member.read() - extracted = extract_metadata( + extracted_metadata = extract_metadata( data, media_filter, filename=entry_key, ) - if extracted is not None: - metadata_type, metadata_obj = extracted + if extracted_metadata is not None: stored_type, metadata_json = serialize_media_metadata( - metadata_obj - ) - assert stored_type == metadata_type, ( - "Metadata type mismatch after serialization" + extracted_metadata ) yield IndexMediaMetadata( entry_key=entry_key, - metadata_type=metadata_type.value, + metadata_type=stored_type.value, metadata_json=metadata_json, ) @@ -337,6 +347,69 @@ def _preprocess_tar( yield IndexShardInfo(shard_info=shard_info, parts=set()) return + @staticmethod + def _extract_media_from_tar( + path: str, + *, + parent_path: EPath, + media_filter: MediaFilterConfig, + shard_counts: Dict[str, int], + ) -> Generator[IndexAggregatable, None, None]: + """Yield ``IndexMediaMetadata`` entries for media within an existing tar shard.""" + + shard_path = parent_path / path + + try: + with shard_path.open("rb") as handle: + with tarfile.open(fileobj=handle, mode="r:*") as tar: + for ( + member, + base_name, + part_name, + ) in WebdatasetPreparator._iter_tar_sample_members(tar): + entry_key = f"{base_name}.{part_name}" + + if not should_consider_media(entry_key, media_filter): + continue + + file_member = tar.extractfile(member) + if file_member is None: + continue + + extracted_metadata = extract_metadata( + file_member, + media_filter, + filename=entry_key, + ) + if extracted_metadata is None: + continue + + stored_type, metadata_json = serialize_media_metadata(extracted_metadata) + + yield IndexMediaMetadata( + entry_key=entry_key, + metadata_type=stored_type.value, + metadata_json=metadata_json, + ) + + except BaseException: # pragma: no cover - dependent on malformed archives + logger.exception( + f"Shard failed to load when extracting media metadata: {path!r}. Skipping it." + ) + + shard_count = shard_counts.get(path) + if shard_count is None: + raise ValueError(f"Shard count for '{path}' not found in dataset metadata") + + yield IndexShardInfo( + shard_info=ShardInfo( + name=path, + path=parent_path / path, + count=shard_count, + ), + parts=set(), + ) + @staticmethod def iter_dataset_content( path: Union[str, EPath], @@ -545,3 +618,60 @@ def prepare_dataset( raise ValueError(f"Invalid split config extension: {split_config}") return found_parts, duplicates + + @classmethod + def add_media_metadata( + cls, + parent_path: Union[Path, EPath], + *, + media_filter: MediaFilterConfig, + workers: int = 32, + progress_fn: Callable[[Iterator[Any], int], Iterator[T]] = (lambda x, y: x), + ) -> int: + """Add or refresh media metadata in an existing WebDataset index.""" + + parent_path = EPath(parent_path) + + dataset_info = get_dataset_info(parent_path) + shard_counts: Dict[str, int] = dataset_info.get("shard_counts", {}) + + paths = list(shard_counts.keys()) + + expanded_paths = [path for path in paths for path in braceexpand.braceexpand(path)] + if not expanded_paths: + return 0 + + for path in expanded_paths: + if path not in shard_counts: + raise ValueError(f"Shard '{path}' not present in dataset metadata") + + aggregator = SqliteIndexWriterAggregator( + parent_path / MAIN_FOLDER_NAME / "index.sqlite", + total_tasks=len(expanded_paths), + progress_fn=progress_fn, + enable_sample_tables=False, + enable_media_metadata=True, + media_filter=media_filter, + reset_tables=False, + progress_on_media=False, + ) + + process_tar = functools.partial( + cls._extract_media_from_tar, + parent_path=parent_path, + media_filter=media_filter, + shard_counts=shard_counts, + ) + + pool = AggregatorPool( + num_workers=min(workers, len(expanded_paths)) or 1, + user_produce_data=process_tar, + aggregator=aggregator, + ) + + for path in expanded_paths: + pool.submit_task(path) + + pool.process() + + return aggregator.media_metadata_written diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index 68fbd4fc..aa241bcb 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -20,7 +20,7 @@ logger = logging.getLogger(__name__) -SourceData = Union[bytes, Path] +SourceData = Union[bytes, Path, io.IOBase] class MediaFilterStrategy(str, Enum): @@ -100,25 +100,29 @@ def should_consider_media(name: str, config: MediaFilterConfig) -> bool: def extract_metadata( - path_or_bytes: SourceData, + source: SourceData, config: MediaFilterConfig, filename: str | None = None, -) -> tuple[MediaMetadataType, MediaMetadataBase] | None: - if isinstance(path_or_bytes, (bytes, bytearray)): - assert filename is not None, "Filename is required when extracting metadata from bytes" +) -> MediaMetadataBase | None: + if isinstance(source, (bytes, bytearray, io.IOBase)): + assert filename is not None, ( + "Filename is required when extracting metadata from bytes or IOBase" + ) else: assert filename is None, "Filename is not allowed when extracting metadata from path" - filename = path_or_bytes.name + filename = source.name + + media_type = _detect_media_type(filename, config, source) - media_type = _detect_media_type(filename, config, path_or_bytes) + print(f"Detecting media type for {filename} with config {config}: {media_type}") if media_type is None: return None - metadata = _build_metadata(media_type, path_or_bytes) + metadata = _build_metadata(media_type, source) if metadata is None: return None - return media_type, metadata + return metadata def _detect_media_type( @@ -201,6 +205,8 @@ def _build_av_metadata(source: SourceData) -> MediaMetadataBase | None: try: if isinstance(source, (bytes, bytearray)): return AVDecoder(io.BytesIO(source)).get_metadata() + elif isinstance(source, io.IOBase): + return AVDecoder(source).get_metadata() else: with source.open("rb") as stream: return AVDecoder(stream).get_metadata() diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index 086e254e..afd0b47c 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -151,12 +151,11 @@ def _process_filesystem_entry( media_filter: MediaFilterConfig, ) -> Iterator[IndexMediaMetadata]: file_path = Path(file_path) - metadata_tuple = extract_metadata(file_path, media_filter) - if metadata_tuple is None: + extracted_metadata = extract_metadata(file_path, media_filter) + if extracted_metadata is None: return - metadata_type, metadata_obj = metadata_tuple - stored_type, metadata_json = serialize_media_metadata(metadata_obj) + stored_type, metadata_json = serialize_media_metadata(extracted_metadata) entry_key = file_path.relative_to(root).as_posix() yield IndexMediaMetadata( diff --git a/src/megatron/energon/metadataset/join_dataset_loader.py b/src/megatron/energon/metadataset/join_dataset_loader.py index 9403326d..61eb429a 100644 --- a/src/megatron/energon/metadataset/join_dataset_loader.py +++ b/src/megatron/energon/metadataset/join_dataset_loader.py @@ -158,7 +158,6 @@ def join_multiple_indices( # For safety, enable a read-only or big timeouts conn.execute("PRAGMA busy_timeout = 5000;") - conn.execute("PRAGMA journal_mode = WAL;") # 2. Attach each secondary DB under a unique alias, e.g. db1, db2, ... secondary_aliases = [] diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 6f4c763f..aa916314 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -26,6 +26,7 @@ get_dataset_info, get_dataset_type, ) +from megatron.energon.flavors.webdataset.prepare import WebdatasetPreparator from megatron.energon.media.extractor import MediaFilterConfig from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset from megatron.energon.metadataset.loader import prepare_metadataset @@ -484,14 +485,42 @@ def prepare_media_command( click.echo("Skipping media metadata generation (--no-media-metadata). Nothing to do.") return + media_filter_config = MediaFilterConfig.parse(media_filter) + ds_type = get_dataset_type(path) - if ds_type not in (EnergonDatasetType.FILESYSTEM, EnergonDatasetType.INVALID): + if ds_type == EnergonDatasetType.WEBDATASET: + click.echo("Preparing webdataset and computing media metadata...") + + if progress: + + def progress_fn(els, length=None): + with click.progressbar( + els, + label="Processing shards", + show_pos=True, + length=length, + ) as bar: + yield from bar + + else: + + def progress_fn(els, length=None): + return els + + count = WebdatasetPreparator.add_media_metadata( + path, + media_filter=media_filter_config, + workers=num_workers, + progress_fn=progress_fn, + ) + + click.echo(f"Done. Stored metadata for {count} files.") + return + elif ds_type not in (EnergonDatasetType.FILESYSTEM, EnergonDatasetType.INVALID): raise click.ClickException( f"'prepare-media' only supports filesystem datasets, but this path is a '{ds_type}' dataset" ) - media_filter_config = MediaFilterConfig.parse(media_filter) - click.echo("Preparing filesystem dataset and computing media metadata...") stored = prepare_filesystem_dataset( path, diff --git a/tests/test_media_pipeline.py b/tests/test_media_pipeline.py index 7e1a5127..2e2a1a7e 100644 --- a/tests/test_media_pipeline.py +++ b/tests/test_media_pipeline.py @@ -67,12 +67,11 @@ def test_extract_metadata_extension_strategy(self) -> None: config = MediaFilterConfig.parse(None) image_bytes = self._create_in_memory_image() - result = extract_metadata(image_bytes, config, filename="sample.png") - self.assertIsNotNone(result) - metadata_type, metadata = result - self.assertEqual(metadata_type, MediaMetadataType.IMAGE) - self.assertEqual(metadata.width, 16) - self.assertEqual(metadata.height, 8) + extracted_metadata = extract_metadata(image_bytes, config, filename="sample.png") + self.assertIsNotNone(extracted_metadata) + self.assertEqual(extracted_metadata.metadata_type, MediaMetadataType.IMAGE) + self.assertEqual(extracted_metadata.width, 16) + self.assertEqual(extracted_metadata.height, 8) def test_extract_metadata_pattern_strategy(self) -> None: config = MediaFilterConfig.parse("*.png") @@ -85,10 +84,9 @@ def test_extract_metadata_type_strategy(self) -> None: config = MediaFilterConfig.parse(MediaFilterStrategy.TYPE.value) image_bytes = self._create_in_memory_image() - result = extract_metadata(image_bytes, config, filename="ignored.bin") - self.assertIsNotNone(result) - metadata_type, _ = result - self.assertEqual(metadata_type, MediaMetadataType.IMAGE) + extracted_metadata = extract_metadata(image_bytes, config, filename="ignored.bin") + self.assertIsNotNone(extracted_metadata) + self.assertEqual(extracted_metadata.metadata_type, MediaMetadataType.IMAGE) def test_prepare_filesystem_dataset_and_retrieve_metadata(self) -> None: with tempfile.TemporaryDirectory() as tmp: From 1fc5c7f0acf110f7836c39cd7f3bc7765f577651 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 25/80] Typing fixes, and fix source for file store --- src/megatron/energon/cache/file_store.py | 4 ++-- src/megatron/energon/flavors/webdataset/prepare.py | 2 +- src/megatron/energon/media/filesystem_prepare.py | 6 ++++-- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index 97de0be7..b4d59881 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -74,8 +74,8 @@ def __getitem__(self, key: str) -> tuple[bytes, SourceInfo]: return data, SourceInfo( dataset_path=self.base_dir, - index=None, - shard_name=None, + index=key, + shard_name=str(self.base_dir), file_names=(key,), ) diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index ccf1df77..c6598db6 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -95,7 +95,7 @@ class IndexShardInfo(IndexAggregatable): class SqliteIndexWriterAggregator( BaseAggregator[ - Tuple[ShardInfo, Set[str]], Tuple[List[ShardInfo], Set[str], bool, List[Tuple[str, int]]] + IndexAggregatable, Tuple[List[ShardInfo], Set[str], bool, List[Tuple[str, int]]] ] ): sqlite_path: EPath diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index afd0b47c..58abdbe4 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -12,9 +12,11 @@ from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.prepare import ( + IndexAggregatable, IndexMediaMetadata, SqliteIndexWriterAggregator, ) +from megatron.energon.flavors.webdataset.structs import ShardInfo from megatron.energon.media.extractor import ( MediaFilterConfig, MediaFilterStrategy, @@ -80,8 +82,8 @@ def agg_progress_fn(iterator: Iterator[int], total: int) -> Iterator[int]: pool = AggregatorPool[ Path, - IndexMediaMetadata, - tuple, + IndexAggregatable, + tuple[list[ShardInfo], set[str], bool, list[tuple[str, int]]], ]( num_workers=min(workers, len(files)) or 1, user_produce_data=partial( From b220f9c72c3ac7efbdb15a09cd1cd9bda23e3156 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 26/80] Small fix an col rename --- src/megatron/energon/flavors/webdataset/indexing.py | 2 +- src/megatron/energon/media/extractor.py | 2 -- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 2d7a06a6..4f8a2c0e 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -119,7 +119,7 @@ def __init__( filter_id INTEGER PRIMARY KEY AUTOINCREMENT, strategy TEXT NOT NULL, pattern TEXT, - created_at TEXT DEFAULT CURRENT_TIMESTAMP, + created_at_utc TEXT DEFAULT CURRENT_TIMESTAMP, UNIQUE(strategy, pattern) ) """ diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index aa241bcb..73e74433 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -114,8 +114,6 @@ def extract_metadata( media_type = _detect_media_type(filename, config, source) - print(f"Detecting media type for {filename} with config {config}: {media_type}") - if media_type is None: return None From f3c52d5adccd34de22cd2454e36df8ee908dda5a Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:41 +0100 Subject: [PATCH 27/80] Disallow duplicate sample keys from now on. Add helper to path tar files. --- .../flavors/webdataset/aggregator_pool.py | 10 +- .../energon/flavors/webdataset/indexing.py | 44 +- .../energon/flavors/webdataset/prepare.py | 59 ++- .../energon/flavors/webdataset/tar_patcher.py | 472 ++++++++++++++++++ src/megatron/energon/tools/prepare.py | 22 +- 5 files changed, 564 insertions(+), 43 deletions(-) create mode 100644 src/megatron/energon/flavors/webdataset/tar_patcher.py diff --git a/src/megatron/energon/flavors/webdataset/aggregator_pool.py b/src/megatron/energon/flavors/webdataset/aggregator_pool.py index b6e3bc0b..802669e7 100644 --- a/src/megatron/energon/flavors/webdataset/aggregator_pool.py +++ b/src/megatron/energon/flavors/webdataset/aggregator_pool.py @@ -154,7 +154,15 @@ def process(self) -> T_result: self.task_queue.put(None) # Now wait for aggregator to finish reading the queue - result = self._aggregator_run() + try: + result = self._aggregator_run() + except Exception: + for p in workers: + if p.is_alive(): + p.terminate() + for p in workers: + p.join() + raise # Wait for all workers to finish for p in workers: diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 4f8a2c0e..5e77ec05 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -14,10 +14,17 @@ from megatron.energon.local_copy import ensure_local_copy +class DuplicateSampleKeyError(RuntimeError): + """Raised when attempting to insert a duplicate sample key into the index.""" + + def __init__(self, sample_key: str) -> None: + super().__init__(f"Duplicate sample key encountered while indexing: {sample_key!r}") + self.sample_key = sample_key + + class SqliteIndexWriter: sqlite_path: EPath db: Optional[sqlite3.Connection] - duplicates: List[Tuple[str, int]] enable_sample_tables: bool enable_media_metadata: bool reset_tables: bool @@ -80,9 +87,9 @@ def __init__( self.db.execute( """ CREATE TABLE IF NOT EXISTS samples ( - tar_file_id INTEGER, - sample_key TEXT, - sample_index INTEGER, + tar_file_id INTEGER NOT NULL, + sample_key TEXT NOT NULL UNIQUE, + sample_index INTEGER NOT NULL, byte_offset INTEGER, byte_size INTEGER ) @@ -125,8 +132,6 @@ def __init__( """ ) - self.duplicates = [] - def append_sample( self, tar_file_id: int8, @@ -149,13 +154,16 @@ def append_sample( assert self.db is not None, "Database is closed" # Insert a row in the samples table - self.db.execute( - """ - INSERT INTO samples (tar_file_id, sample_key, sample_index, byte_offset, byte_size) - VALUES (?, ?, ?, ?, ?) - """, - (tar_file_id, sample_key, sample_index, byte_offset, byte_size), - ) + try: + self.db.execute( + """ + INSERT INTO samples (tar_file_id, sample_key, sample_index, byte_offset, byte_size) + VALUES (?, ?, ?, ?, ?) + """, + (tar_file_id, sample_key, sample_index, byte_offset, byte_size), + ) + except sqlite3.IntegrityError as exc: # pragma: no cover - defensive programming + raise DuplicateSampleKeyError(sample_key) from exc def append_part( self, @@ -216,7 +224,7 @@ def close(self): # Create the index after adding all the samples for better speed # Index on sample_key for fast lookups self.db.execute( - "CREATE INDEX IF NOT EXISTS idx_samples_sample_key ON samples(sample_key)" + "CREATE UNIQUE INDEX IF NOT EXISTS idx_samples_sample_key ON samples(sample_key)" ) # Create index on the samples table. Help the planner if it chooses `samples` as the probe side of the join @@ -234,14 +242,6 @@ def close(self): "CREATE INDEX IF NOT EXISTS idx_sample_parts_full ON sample_parts(tar_file_id, sample_index, part_name, content_byte_offset, content_byte_size)" ) - # Check if sample_key are all unique - # self.db.execute("CREATE TEMP TABLE temp AS SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1") - duplicates = self.db.execute( - "SELECT sample_key, COUNT(*) AS c FROM samples GROUP BY sample_key HAVING c > 1 LIMIT 5" - ).fetchall() - if len(duplicates) > 0: - self.duplicates = duplicates - if self.db is not None: self.db.commit() self.db.close() diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index c6598db6..c117577a 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -6,6 +6,7 @@ import logging import random import re +import sys import tarfile import uuid from dataclasses import asdict @@ -35,10 +36,17 @@ from megatron.energon.eyaml import load_yaml from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool, BaseAggregator from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME, skip_meta_re, split_name_re -from megatron.energon.flavors.webdataset.indexing import SqliteIndexWriter +from megatron.energon.flavors.webdataset.indexing import ( + DuplicateSampleKeyError, + SqliteIndexWriter, +) from megatron.energon.flavors.webdataset.itar import TarIndexWriter from megatron.energon.flavors.webdataset.metadata import get_dataset_info from megatron.energon.flavors.webdataset.structs import ShardInfo, WebdatasetInfo, WebdatasetSplits +from megatron.energon.flavors.webdataset.tar_patcher import ( + DatasetScanResult, + TarPatcher, +) from megatron.energon.media.extractor import ( MediaFilterConfig, extract_metadata, @@ -194,9 +202,9 @@ def on_finish(self, aggregator_pool: AggregatorPool) -> None: def get_final_result_data( self, - ) -> Tuple[List[ShardInfo], Set[str], bool, List[Tuple[str, int]]]: + ) -> Tuple[List[ShardInfo], Set[str], bool]: assert self.writer is not None, "Writer is not initialized." - return self.shards, self.found_parts, self.had_update, self.writer.duplicates + return self.shards, self.found_parts, self.had_update def _advance_progress(self) -> None: try: @@ -468,6 +476,7 @@ def prepare_dataset( workers: int = 32, tar_index_only: bool = False, media_filter: Optional[MediaFilterConfig] = None, + fix_duplicates: bool = False, ) -> Tuple[Set[str], List[Tuple[str, int]]]: """ Preprocess the shards and write the split config. Preprocessing is done in parallel. @@ -484,6 +493,8 @@ def prepare_dataset( progress_fn: Callback for progress bar workers: Number of parallel workers for reading each shard tar_index_only: Only create tar-index, then exit + media_filter: Media filter configuration + fix_duplicates: If True, fix duplicate keys in the dataset by renaming the files in the shards. Returns: The set of all parts found in the shards. But at most 50. @@ -497,6 +508,27 @@ def prepare_dataset( (parent_path / MAIN_FOLDER_NAME).mkdir(exist_ok=True) + if fix_duplicates: + tar_patcher = TarPatcher(show_progress=True) + scan_result: DatasetScanResult = tar_patcher.dataset_scan(paths) + + if scan_result.has_duplicates: + print("The dataset contains duplicate keys.") + if not scan_result.compatible: + print( + "But the tar files are not compatible with the in-place rename, aborting." + ) + print("Issues found:") + for issue in scan_result.issues: + print(f"- {issue}") + sys.exit(1) + + print("Fixing the dataset now.") + tar_patcher.dataset_apply_prefix(paths) + print("Duplicate keys fixed successfully.") + else: + print("No duplicate keys found, continuing.") + aggregator = SqliteIndexWriterAggregator( parent_path / MAIN_FOLDER_NAME / "index.sqlite", total_tasks=len(paths), @@ -522,7 +554,22 @@ def prepare_dataset( for path in paths: pool.submit_task(path) - shards, found_parts, had_update, duplicates = pool.process() + try: + shards, found_parts, had_update = pool.process() + except DuplicateSampleKeyError as error: + print("The data contains duplicate keys (e.g. same filename in different shards).") + print(f'Example duplicate key: "{error.sample_key}"') + print() + print( + "Energon does not support duplicate keys anymore, but we offer a tool to fix your dataset. " + "Run `energon prepare` with `--fix-duplicates` to fix your dataset. Inside each tar, it will " + "put each file in a subfolder with the shard name like `shard_0/filename.ext`." + ) + + if (parent_path / MAIN_FOLDER_NAME / "index.sqlite").is_file(): + (parent_path / MAIN_FOLDER_NAME / "index.sqlite").unlink() + + sys.exit(1) if had_update: logger.info("Regenerating dataset UUID...") @@ -538,7 +585,7 @@ def prepare_dataset( with json_info_config.open("w") as f: json.dump(load_yaml(yaml_info_config.read_bytes()), f, indent=2) - return found_parts, duplicates + return found_parts assert len(shards) == len(shard_to_idx), ( f"Lengths of shards and shard_to_idx do not match: {len(shards)} != {len(shard_to_idx)}" @@ -617,7 +664,7 @@ def prepare_dataset( else: raise ValueError(f"Invalid split config extension: {split_config}") - return found_parts, duplicates + return found_parts @classmethod def add_media_metadata( diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py new file mode 100644 index 00000000..6f55f0bc --- /dev/null +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -0,0 +1,472 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + +import re +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Dict, List, Sequence, Set + +import click +from tqdm import tqdm + +from megatron.energon.flavors.webdataset.config import split_name_re + +BLOCK_SIZE = 512 + + +class TarPatcherError(Exception): + """Raised when a tar patch operation fails.""" + + +@dataclass(slots=True) +class TarScanResult: + """Result of scanning a tar archive.""" + + filenames: list[str] = field(default_factory=list) + sample_keys: Set[str] = field(default_factory=set) + compatible: bool = True + issues: list[str] = field(default_factory=list) + + +@dataclass(slots=True) +class DatasetScanResult: + """Aggregated result of scanning a set of tar archives.""" + + compatible: bool + duplicates: Dict[str, List[str]] + issues: List[str] + scan_results: Dict[str, TarScanResult] + + @property + def has_duplicates(self) -> bool: + return bool(self.duplicates) + + +def is_zero_block(block: bytes) -> bool: + return all(b == 0 for b in block) + + +def parse_size(size_bytes: bytes) -> int: + """ + Parse the tar size field (supports standard octal and base-256). + """ + if not size_bytes: + return 0 + + # Base-256 (binary) encoding (POSIX) + if size_bytes[0] & 0x80: + return int.from_bytes(size_bytes, byteorder="big", signed=True) + + # Octal ascii + s = size_bytes.rstrip(b"\0 ").decode("ascii", "replace").strip() or "0" + try: + return int(s, 8) + except ValueError as e: + raise ValueError(f"Invalid size field {size_bytes!r}: {e}") from e + + +def split_ustar_path(path: str): + """ + Split path into (prefix, name) suitable for ustar: + - name: up to 100 bytes + - prefix: up to 155 bytes + - both UTF-8 encoded + Return (prefix_bytes, name_bytes) or (None, None) if it doesn't fit. + """ + encoded = path.encode("utf-8") + + if len(encoded) <= 100: + return b"", encoded + + # Try to split at a '/' so prefix <=155 bytes and name <=100 bytes. + cut = -1 + for i, ch in enumerate(path): + if ch == "/": + if len(path[:i].encode("utf-8")) <= 155: + cut = i + + if cut == -1: + return None, None + + prefix_str = path[:cut] + name_str = path[cut + 1 :] + + prefix_b = prefix_str.encode("utf-8") + name_b = name_str.encode("utf-8") + + if len(prefix_b) > 155 or len(name_b) > 100: + return None, None + + return prefix_b, name_b + + +def compute_checksum(header: bytearray) -> int: + """ + Compute tar header checksum: + - Treat chksum field (148-155) as spaces (0x20) during calculation. + """ + tmp = bytearray(header) + for i in range(148, 156): + tmp[i] = 32 # ' ' + return sum(tmp) + + +def format_chksum(val: int) -> bytes: + """ + Format checksum as 6 octal digits, NUL, space (total 8 bytes). + """ + return f"{val:06o}\0 ".encode("ascii") + + +def extract_full_path(hdr: bytes) -> tuple[str, bool]: + """ + Extract the logical path from a header. + Returns (full_path, is_ustar_style). + """ + name = hdr[0:100].rstrip(b"\0").decode("utf-8", "replace") + magic = hdr[257:263] + if magic in (b"ustar\0", b"ustar "): + prefix_field = hdr[345:500].rstrip(b"\0").decode("utf-8", "replace") + if prefix_field: + return f"{prefix_field}/{name}" if name else prefix_field, True + else: + return name, True + else: + return name, False + + +def pax_parse(data: bytes): + """ + Parse PAX extended header into list of (key, value). + Format lines: "%d key=value\n". + """ + out = [] + i = 0 + n = len(data) + while i < n: + # parse length + j = i + while j < n and data[j : j + 1] != b" ": + j += 1 + if j == n: + break + try: + rec_len = int(data[i:j].decode("ascii", "replace")) + except ValueError: + break + + if i + rec_len > n: + break + + rec = data[i : i + rec_len] + sp = rec.find(b" ") + if sp == -1 or not rec.endswith(b"\n"): + break + + kv = rec[sp + 1 : -1] # drop trailing '\n' + eq = kv.find(b"=") + if eq == -1: + key = kv.decode("utf-8", "replace") + val = "" + else: + key = kv[:eq].decode("utf-8", "replace") + val = kv[eq + 1 :].decode("utf-8", "replace") + out.append((key, val)) + + i += rec_len + return out + + +# Keys that, if present in PAX, mean path info is controlled by PAX, +# so in-place rename of classic headers is NOT safe. +PAX_PATH_KEYS = { + "path", + "linkpath", + "gnu.path", + "gnu.linkpath", + "SCHILY.path", + "SCHILY.linkpath", +} + + +_STEM_RE = re.compile(r"([^/\\]+?)(?:\.[^./\\]+)*$") + + +class TarPatcher: + """Utility for scanning and renaming tar archive entries in place.""" + + def __init__(self, *, show_progress: bool = True) -> None: + self._show_progress = show_progress + + def dataset_scan(self, tar_files: Sequence[str]) -> DatasetScanResult: + """Scan multiple tar files, checking compatibility and duplicate sample keys. + Each tar_file string must be a relative or absolute path to a tar file.""" + + issues: List[str] = [] + scan_results: Dict[str, TarScanResult] = {} + + # Maps from sample key to list of tar files containing it + duplicates: Dict[str, Set[str]] = {} + + compatible = True + + # This is used to track if we have duplicate shard filenames (e.g. in subfolders) + prefixes = set() + + for tar_file in tar_files: + # Extract the base name of the tar file (without extension) + m = _STEM_RE.search(tar_file) + assert m is not None, f"Invalid tar file path: {tar_file}" + prefix = f"{m.group(1)}/" + + if prefix in prefixes: + raise ValueError(f"Duplicate shard filename: {tar_file} with base name {prefix}") + + prefixes.add(prefix) + + result = self.scan(tar_file, prefix) + scan_results[tar_file] = result + + if not result.compatible: + compatible = False + issues.extend(f"{tar_file}: {issue}" for issue in result.issues) + + for sample_key in result.sample_keys: + # We don't care about duplicate keys within the same shard, + # but we want to track which shards contain the duplicate key. + duplicates.setdefault(sample_key, set()).add(tar_file) + + duplicate_map = {key: sorted(paths) for key, paths in duplicates.items() if len(paths) > 1} + + return DatasetScanResult( + compatible=compatible, + duplicates=duplicate_map, + issues=issues, + scan_results=scan_results, + ) + + def dataset_apply_prefix( + self, + tar_files: Sequence[str], + ) -> None: + """Apply shard-specific prefixes to a set of tar files.""" + + for tar_file in tar_files: + m = _STEM_RE.search(tar_file) + assert m is not None, f"Invalid tar file path: {tar_file}" + prefix = f"{m.group(1)}/" + + self.apply_prefix( + tar_file, + prefix, + ) + + def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: + """Scan *tar_path* and evaluate compatibility for prefixing entries.""" + + path = Path(tar_path) + size = path.stat().st_size + result = TarScanResult() + + with path.open("rb") as handle, self._progress(size, "Scanning") as pbar: + while True: + header = handle.read(BLOCK_SIZE) + if not header: + raise TarPatcherError("Unexpected EOF while reading header.") + if len(header) < BLOCK_SIZE: + raise TarPatcherError("Truncated tar header.") + + pbar.update(BLOCK_SIZE) + + if is_zero_block(header): + break + + typeflag = header[156:157] + size_val = parse_size(header[124:136]) + + if typeflag in (b"L", b"K"): + result.compatible = False + result.issues.append( + "Found GNU longname/longlink entry; in-place rename is unsupported." + ) + self._skip_payload(handle, size_val, pbar) + continue + + if typeflag in (b"x", b"g"): + self._evaluate_pax_header(handle, size_val, pbar, result) + continue + + full_path, is_ustar = extract_full_path(header) + result.filenames.append(full_path) + name_match = split_name_re.match(full_path) + if name_match is not None: + result.sample_keys.add(name_match.group(1)) + + new_path = prefix + full_path + if is_ustar: + new_prefix_b, new_name_b = split_ustar_path(new_path) + if new_prefix_b is None: + result.compatible = False + result.issues.append(f"New name too long for ustar fields: {new_path!r}.") + else: + if len(new_path.encode("utf-8")) > 100: + result.compatible = False + result.issues.append(f"New name too long for legacy header: {new_path!r}.") + + self._skip_payload(handle, size_val, pbar) + + return result + + def apply_prefix( + self, + tar_path: Path | str, + prefix: str, + ) -> None: + """Apply *prefix* to entries in *tar_path* in place.""" + + path = Path(tar_path) + size = path.stat().st_size + + with path.open("r+b") as handle, self._progress(size, "Patching") as pbar: + while True: + position = handle.tell() + header = handle.read(BLOCK_SIZE) + if not header: + raise TarPatcherError("Unexpected EOF while reading header.") + if len(header) < BLOCK_SIZE: + raise TarPatcherError("Truncated tar header encountered during patch.") + + pbar.update(BLOCK_SIZE) + + if is_zero_block(header): + break + + hdr = bytearray(header) + typeflag = hdr[156:157] + size_val = parse_size(hdr[124:136]) + + if typeflag in (b"L", b"K"): + raise TarPatcherError( + "Unexpected GNU longname/longlink encountered during patch." + ) + + if typeflag in (b"x", b"g"): + self._skip_payload(handle, size_val, pbar) + continue + + full_path, is_ustar = extract_full_path(hdr) + new_path = prefix + full_path + + if is_ustar: + new_prefix_b, new_name_b = split_ustar_path(new_path) + if new_prefix_b is None: + raise TarPatcherError( + f"Internal error: ustar fields don't fit for {new_path!r}." + ) + hdr[0:100] = new_name_b.ljust(100, b"\0") + hdr[345:500] = new_prefix_b.ljust(155, b"\0") + else: + new_name_b = new_path.encode("utf-8") + if len(new_name_b) > 100: + raise TarPatcherError( + f"Internal error: legacy name too long for {new_path!r}." + ) + hdr[0:100] = new_name_b.ljust(100, b"\0") + + checksum = compute_checksum(hdr) + hdr[148:156] = format_chksum(checksum) + + handle.seek(position) + handle.write(hdr) + + self._skip_payload(handle, size_val, pbar) + + def _evaluate_pax_header( + self, + handle: Any, + size_val: int, + pbar: tqdm, + result: TarScanResult, + ) -> None: + blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE + data = handle.read(blocks * BLOCK_SIZE) + if len(data) < blocks * BLOCK_SIZE: + raise TarPatcherError("Truncated PAX extended header data.") + pbar.update(blocks * BLOCK_SIZE) + records = pax_parse(data[:size_val]) + for key, _ in records: + if key in PAX_PATH_KEYS: + result.compatible = False + result.issues.append( + f"PAX header contains unsupported key {key!r}; in-place rename is unsafe." + ) + + def _skip_payload(self, handle: Any, size_val: int, pbar: tqdm) -> None: + data_blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE + if data_blocks: + handle.seek(data_blocks * BLOCK_SIZE, 1) + pbar.update(data_blocks * BLOCK_SIZE) + + def _progress(self, total: int, desc: str) -> tqdm: + return tqdm( + total=total, + unit="B", + unit_scale=True, + desc=desc, + leave=False, + disable=not self._show_progress, + ) + + +@click.command() +@click.argument( + "tar_file", + type=click.Path(exists=True, dir_okay=False, path_type=Path), +) +@click.argument("prefix", type=str) +@click.option( + "--dry-run", + is_flag=True, + help="Only check if in-place renaming is possible; don't modify the file.", +) +def main(tar_file: Path, prefix: str, dry_run: bool): + """ + PREFIX all member names in TAR_FILE in-place, if safely possible. + + Rules: + - Allowed: + * Classic/ustar entries. + * PAX x/g entries that do NOT contain path-related keys. + - Rejected: + * Any PAX entry with path/linkpath-style keys. + * Any GNU longname/longlink (L/K). + * Any resulting name that doesn't fit fixed-size header fields. + """ + tar_path = Path(tar_file) + patcher = TarPatcher() + + click.echo(f"Scanning {tar_path} for in-place rename feasibility...") + try: + scan_result = patcher.scan(tar_path, prefix) + except TarPatcherError as exc: + raise click.ClickException(str(exc)) from exc + + if not scan_result.compatible: + issues = "; ".join(scan_result.issues) or "Tar archive not compatible with in-place rename." + raise click.ClickException(f"In-place rename not supported: {issues}") + + click.echo("OK: in-place modification is possible under current rules.") + + if dry_run: + return + + click.echo("Applying prefix in-place...") + try: + patcher.apply_prefix(tar_path, prefix, scan_result=scan_result) + except TarPatcherError as exc: + raise click.ClickException(str(exc)) from exc + click.echo("Done. All eligible member names have been updated.") + + +if __name__ == "__main__": + main() diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index aa916314..ad7e6220 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -141,6 +141,11 @@ def printify_json(data: Any) -> Any: default=None, help="Media detection strategy: EXT (extension, default), TYPE (by filetype), or a glob pattern such as '*.jpg'.", ) +@click.option( + "--fix-duplicates", + help="Fix duplicate keys in the dataset.", + is_flag=True, +) def command( path: EPath, progress: bool, @@ -151,6 +156,7 @@ def command( shuffle_tars: bool, media_metadata: bool, media_filter: Optional[str], + fix_duplicates: bool, ): """Prepare WebDataset for use with energon. @@ -258,7 +264,7 @@ def progress_fn(els, length=None): def progress_fn(els, length=None): return els - found_types, duplicates = BaseWebdatasetFactory.prepare_dataset( + found_types = BaseWebdatasetFactory.prepare_dataset( path, all_tars, split_parts_ratio=split_parts_ratio, @@ -268,25 +274,13 @@ def progress_fn(els, length=None): shuffle_seed=42 if shuffle_tars else None, workers=num_workers, media_filter=media_filter_config, + fix_duplicates=fix_duplicates, ) - if duplicates: - print(f"Examples of duplicates found: {duplicates}") - print() - print( - "The dataset has duplicate keys. Best practice is to use unique keys. " - "You won't be able to use this dataset for joining " - "later on." - ) - found_types = list(found_types) if tar_index_only: return - if duplicates: - if not click.confirm("Do you want to continue?"): - return - # Print json of first two samples for sample_idx, data in enumerate( BaseWebdatasetFactory.iter_dataset_content(path / all_tars[0], ("json",)) From ca00133a924a707dcd259d101844d907c7c6e456 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 28/80] Address review comments. Parallelized TarPatcher --- src/megatron/energon/cli/main.py | 8 +- .../energon/flavors/webdataset/indexing.py | 25 +-- .../energon/flavors/webdataset/prepare.py | 28 ++- .../energon/flavors/webdataset/tar_patcher.py | 149 +++++++++++----- src/megatron/energon/media/extractor.py | 159 ++++++++++-------- .../energon/media/filesystem_prepare.py | 13 +- src/megatron/energon/tools/prepare.py | 116 +++---------- src/megatron/energon/tools/prepare_media.py | 106 ++++++++++++ tests/test_crudedataset.py | 10 +- tests/test_media_pipeline.py | 133 --------------- 10 files changed, 361 insertions(+), 386 deletions(-) create mode 100644 src/megatron/energon/tools/prepare_media.py delete mode 100644 tests/test_media_pipeline.py diff --git a/src/megatron/energon/cli/main.py b/src/megatron/energon/cli/main.py index 013b32c3..c18ff2d6 100644 --- a/src/megatron/energon/cli/main.py +++ b/src/megatron/energon/cli/main.py @@ -10,12 +10,8 @@ from megatron.energon.tools.info import command as info_command from megatron.energon.tools.lint import command as lint_command from megatron.energon.tools.mount import command as mount_command -from megatron.energon.tools.prepare import ( - command as prepare_command, -) -from megatron.energon.tools.prepare import ( - prepare_media_command, -) +from megatron.energon.tools.prepare import command as prepare_command +from megatron.energon.tools.prepare_media import command as prepare_media_command from megatron.energon.tools.preview import command as preview_command diff --git a/src/megatron/energon/flavors/webdataset/indexing.py b/src/megatron/energon/flavors/webdataset/indexing.py index 5e77ec05..b3ef98d1 100644 --- a/src/megatron/energon/flavors/webdataset/indexing.py +++ b/src/megatron/energon/flavors/webdataset/indexing.py @@ -75,14 +75,15 @@ def __init__( self.db.execute("PRAGMA busy_timeout = 5000;") # wait up to 5000ms when locked if self.enable_sample_tables: - if self.reset_tables: - self.db.execute("DROP INDEX IF EXISTS idx_samples_sample_key") - self.db.execute("DROP INDEX IF EXISTS idx_samples_by_tar_and_idx") - self.db.execute("DROP TABLE IF EXISTS samples") + assert self.reset_tables, "Reset tables is required when enabling sample tables" + + self.db.execute("DROP INDEX IF EXISTS idx_samples_sample_key") + self.db.execute("DROP INDEX IF EXISTS idx_samples_by_tar_and_idx") + self.db.execute("DROP TABLE IF EXISTS samples") - self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_seq") - self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_full") - self.db.execute("DROP TABLE IF EXISTS sample_parts") + self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_seq") + self.db.execute("DROP INDEX IF EXISTS idx_sample_parts_full") + self.db.execute("DROP TABLE IF EXISTS sample_parts") self.db.execute( """ @@ -125,9 +126,9 @@ def __init__( CREATE TABLE IF NOT EXISTS media_filters ( filter_id INTEGER PRIMARY KEY AUTOINCREMENT, strategy TEXT NOT NULL, - pattern TEXT, + patterns TEXT, created_at_utc TEXT DEFAULT CURRENT_TIMESTAMP, - UNIQUE(strategy, pattern) + UNIQUE(strategy, patterns) ) """ ) @@ -206,11 +207,11 @@ def append_media_metadata( (entry_key, metadata_type, metadata_json), ) - def append_media_filter(self, *, strategy: str, pattern: str | None) -> None: + def append_media_filter(self, *, strategy: str, patterns: str | None) -> None: assert self.db is not None, "Database is closed" self.db.execute( - "INSERT OR IGNORE INTO media_filters (strategy, pattern) VALUES (?, ?)", - (strategy, pattern), + "INSERT OR IGNORE INTO media_filters (strategy, patterns) VALUES (?, ?)", + (strategy, patterns), ) def close(self): diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index c117577a..131abcfc 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -47,11 +47,7 @@ DatasetScanResult, TarPatcher, ) -from megatron.energon.media.extractor import ( - MediaFilterConfig, - extract_metadata, - should_consider_media, -) +from megatron.energon.media.extractor import MediaFilterConfig from megatron.energon.media.metadata import serialize_media_metadata from megatron.energon.typed_converter import to_json_object @@ -102,9 +98,7 @@ class IndexShardInfo(IndexAggregatable): class SqliteIndexWriterAggregator( - BaseAggregator[ - IndexAggregatable, Tuple[List[ShardInfo], Set[str], bool, List[Tuple[str, int]]] - ] + BaseAggregator[IndexAggregatable, Tuple[List[ShardInfo], Set[str], bool, List[Tuple[str, int]]]] ): sqlite_path: EPath total_tasks: int @@ -196,7 +190,7 @@ def on_finish(self, aggregator_pool: AggregatorPool) -> None: if self.enable_media_metadata and self.media_filter is not None: self.writer.append_media_filter( strategy=self.media_filter.strategy.value, - pattern=self.media_filter.pattern, + patterns=",".join(self.media_filter.patterns), ) self.writer.close() @@ -321,14 +315,13 @@ def _preprocess_tar( ) if media_filter is not None: - if not should_consider_media(entry_key, media_filter): + if not media_filter.should_consider_media(entry_key): continue file_member = tar.extractfile(member) if file_member is not None: data = file_member.read() - extracted_metadata = extract_metadata( + extracted_metadata = media_filter.extract_metadata( data, - media_filter, filename=entry_key, ) if extracted_metadata is not None: @@ -377,16 +370,15 @@ def _extract_media_from_tar( ) in WebdatasetPreparator._iter_tar_sample_members(tar): entry_key = f"{base_name}.{part_name}" - if not should_consider_media(entry_key, media_filter): + if not media_filter.should_consider_media(entry_key): continue file_member = tar.extractfile(member) if file_member is None: continue - extracted_metadata = extract_metadata( + extracted_metadata = media_filter.extract_metadata( file_member, - media_filter, filename=entry_key, ) if extracted_metadata is None: @@ -510,7 +502,9 @@ def prepare_dataset( if fix_duplicates: tar_patcher = TarPatcher(show_progress=True) - scan_result: DatasetScanResult = tar_patcher.dataset_scan(paths) + scan_result: DatasetScanResult = tar_patcher.dataset_scan( + paths, parent_path=parent_path + ) if scan_result.has_duplicates: print("The dataset contains duplicate keys.") @@ -524,7 +518,7 @@ def prepare_dataset( sys.exit(1) print("Fixing the dataset now.") - tar_patcher.dataset_apply_prefix(paths) + tar_patcher.dataset_apply_prefix(paths, parent_path=parent_path) print("Duplicate keys fixed successfully.") else: print("No duplicate keys found, continuing.") diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 6f55f0bc..27b5cce4 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -2,16 +2,20 @@ # SPDX-License-Identifier: BSD-3-Clause import re +from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field +from multiprocessing import cpu_count from pathlib import Path from typing import Any, Dict, List, Sequence, Set import click from tqdm import tqdm +from megatron.energon.epathlib import EPath from megatron.energon.flavors.webdataset.config import split_name_re BLOCK_SIZE = 512 +NUM_WORKERS = 16 class TarPatcherError(Exception): @@ -189,18 +193,23 @@ def pax_parse(data: bytes): } -_STEM_RE = re.compile(r"([^/\\]+?)(?:\.[^./\\]+)*$") - - class TarPatcher: """Utility for scanning and renaming tar archive entries in place.""" def __init__(self, *, show_progress: bool = True) -> None: self._show_progress = show_progress - def dataset_scan(self, tar_files: Sequence[str]) -> DatasetScanResult: - """Scan multiple tar files, checking compatibility and duplicate sample keys. - Each tar_file string must be a relative or absolute path to a tar file.""" + def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetScanResult: + """Scan multiple tar files, checking compatibility for in-place renaming and for duplicate sample keys. + Each tar_file string must be a relative or absolute path to a tar file. + + Args: + tar_files: List of relative or absolute paths to the tar files to scan. + parent_path: Parent path of the tar files, used if tar_files are relative paths. + + Returns: + DatasetScanResult: Result of the scan. + """ issues: List[str] = [] scan_results: Dict[str, TarScanResult] = {} @@ -209,32 +218,50 @@ def dataset_scan(self, tar_files: Sequence[str]) -> DatasetScanResult: duplicates: Dict[str, Set[str]] = {} compatible = True + have_duplicates = False + + tasks: list[tuple[str, str]] = [] + for rel_tar_file in tar_files: + tar_file_path = parent_path / rel_tar_file + rel_file_path = tar_file_path.relative_to(parent_path) + tar_file = str(tar_file_path) + prefix = f"{rel_file_path}/" + tasks.append((tar_file, prefix)) + + if not tasks: + return DatasetScanResult( + compatible=True, + duplicates={}, + issues=[], + scan_results={}, + ) - # This is used to track if we have duplicate shard filenames (e.g. in subfolders) - prefixes = set() - - for tar_file in tar_files: - # Extract the base name of the tar file (without extension) - m = _STEM_RE.search(tar_file) - assert m is not None, f"Invalid tar file path: {tar_file}" - prefix = f"{m.group(1)}/" - - if prefix in prefixes: - raise ValueError(f"Duplicate shard filename: {tar_file} with base name {prefix}") - - prefixes.add(prefix) - - result = self.scan(tar_file, prefix) - scan_results[tar_file] = result - - if not result.compatible: - compatible = False - issues.extend(f"{tar_file}: {issue}" for issue in result.issues) + max_workers = min(len(tasks), NUM_WORKERS) - for sample_key in result.sample_keys: - # We don't care about duplicate keys within the same shard, - # but we want to track which shards contain the duplicate key. - duplicates.setdefault(sample_key, set()).add(tar_file) + with tqdm( + total=len(tasks), + desc="Scanning dataset", + unit="shards", + disable=not self._show_progress, + ) as dataset_pbar: + with ProcessPoolExecutor(max_workers=max_workers) as executor: + for tar_file, result in executor.map( + _scan_tar_worker, tasks, chunksize=(len(tasks) // max_workers) or 1 + ): + scan_results[tar_file] = result + if not result.compatible: + compatible = False + issues.extend(f"{tar_file}: {issue}" for issue in result.issues) + for sample_key in result.sample_keys: + duplicates.setdefault(sample_key, set()).add(tar_file) + if len(duplicates[sample_key]) > 1: + have_duplicates = True + + if have_duplicates and not compatible: + # Let's stop early if we have duplicates and the dataset is not compatible for fixing + break + + dataset_pbar.update() duplicate_map = {key: sorted(paths) for key, paths in duplicates.items() if len(paths) > 1} @@ -248,27 +275,46 @@ def dataset_scan(self, tar_files: Sequence[str]) -> DatasetScanResult: def dataset_apply_prefix( self, tar_files: Sequence[str], + parent_path: EPath, ) -> None: """Apply shard-specific prefixes to a set of tar files.""" - for tar_file in tar_files: - m = _STEM_RE.search(tar_file) - assert m is not None, f"Invalid tar file path: {tar_file}" - prefix = f"{m.group(1)}/" + tasks: list[tuple[str, str]] = [] + for rel_tar_file in tar_files: + tar_file_path = parent_path / rel_tar_file + rel_file_path = tar_file_path.relative_to(parent_path) - self.apply_prefix( - tar_file, - prefix, - ) + tar_file = str(tar_file_path) + prefix = f"{rel_file_path}/" + tasks.append((tar_file, prefix)) + + if not tasks: + return + + max_workers = min(len(tasks), NUM_WORKERS) - def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: + with tqdm( + total=len(tasks), + desc="Applying prefixes", + unit="shards", + disable=not self._show_progress, + ) as dataset_pbar: + with ProcessPoolExecutor(max_workers=max_workers) as executor: + for _ in executor.map( + _apply_prefix_worker, tasks, chunksize=(len(tasks) // max_workers) or 1 + ): + dataset_pbar.update() + + def scan(self, tar_path: Path | str, prefix: str, progress: bool = True) -> TarScanResult: """Scan *tar_path* and evaluate compatibility for prefixing entries.""" path = Path(tar_path) size = path.stat().st_size result = TarScanResult() - with path.open("rb") as handle, self._progress(size, "Scanning") as pbar: + progress_context = self._progress(size, "Scanning", disable=not progress) + + with path.open("rb") as handle, progress_context as pbar: while True: header = handle.read(BLOCK_SIZE) if not header: @@ -321,13 +367,16 @@ def apply_prefix( self, tar_path: Path | str, prefix: str, + progress: bool = True, ) -> None: """Apply *prefix* to entries in *tar_path* in place.""" path = Path(tar_path) size = path.stat().st_size - with path.open("r+b") as handle, self._progress(size, "Patching") as pbar: + progress_context = self._progress(size, "Patching", disable=not progress) + + with path.open("r+b") as handle, progress_context as pbar: while True: position = handle.tell() header = handle.read(BLOCK_SIZE) @@ -407,17 +456,31 @@ def _skip_payload(self, handle: Any, size_val: int, pbar: tqdm) -> None: handle.seek(data_blocks * BLOCK_SIZE, 1) pbar.update(data_blocks * BLOCK_SIZE) - def _progress(self, total: int, desc: str) -> tqdm: + def _progress(self, total: int, desc: str, disable: bool = False) -> tqdm: return tqdm( total=total, unit="B", unit_scale=True, desc=desc, leave=False, - disable=not self._show_progress, + disable=disable, ) +def _scan_tar_worker(task: tuple[str, str]) -> tuple[str, TarScanResult]: + tar_file, prefix = task + patcher = TarPatcher(show_progress=False) + result = patcher.scan(tar_file, prefix, progress=False) + return tar_file, result + + +def _apply_prefix_worker(task: tuple[str, str]) -> str: + tar_file, prefix = task + patcher = TarPatcher(show_progress=False) + patcher.apply_prefix(tar_file, prefix, progress=False) + return tar_file + + @click.command() @click.argument( "tar_file", diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index 73e74433..f6203e84 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -5,7 +5,7 @@ import io import logging -from dataclasses import dataclass +from dataclasses import dataclass, field from enum import Enum from fnmatch import fnmatch from pathlib import Path @@ -26,9 +26,9 @@ class MediaFilterStrategy(str, Enum): """Strategy used to decide whether an entry should be treated as media.""" - EXT = "EXT" # by file extension - TYPE = "TYPE" # by filetype (detected using filetype package) - PATTERN = "PATTERN" # by glob pattern (e.g. '*.jpg') + EXTENSION = "EXTENSION" # by file extension + HEADER = "HEADER" # by header filetype (detected using filetype package) + GLOB = "GLOB" # by one or more glob patterns (e.g. '*.jpg') @dataclass(frozen=True) @@ -36,22 +36,85 @@ class MediaFilterConfig: """Configuration for media detection during dataset preparation.""" strategy: MediaFilterStrategy - pattern: str | None = None + patterns: list[str] = field(default_factory=list) @classmethod - def parse(cls, value: str | None) -> "MediaFilterConfig": - if value is None: - value = "EXT" + def parse(cls, glob: str | None, header: bool, extension: bool) -> "MediaFilterConfig": + # Check that exactly one of the strategies is enabled + strategy_count = sum(bool(s) for s in [glob, header, extension]) + + if strategy_count != 1: + raise ValueError( + "Exactly one of GLOB, HEADER, or EXTENSION media filters must be enabled. " + "You can use multiple glob patterns by separating them by commas." + ) - value_upper = value.upper() + if glob: + if "," in glob: + patterns = glob.split(",") + else: + patterns = [glob] + return cls(strategy=MediaFilterStrategy.GLOB, patterns=patterns) + if header: + return cls(strategy=MediaFilterStrategy.HEADER) + if extension: + return cls(strategy=MediaFilterStrategy.EXTENSION) + + def should_consider_all(self) -> bool: + """Check whether all files need to be considered for metadata extraction. + This is the case, if we need to inspect the file content to determine the media type.""" + + return self.strategy == MediaFilterStrategy.HEADER + + def should_consider_media(self, name: str) -> bool: + """Check whether a file name qualifies for metadata extraction under the filter. + This is a first stage check to avoid loading the file content into memory if possible.""" + + lower_name = name.lower() + + if self.strategy == MediaFilterStrategy.HEADER: + # TYPE detection relies on file content, hence it always requires inspection. + return True + + if self.strategy == MediaFilterStrategy.EXTENSION: + return _guess_type_from_extension(lower_name) is not None + + assert self.patterns is not None, "Pattern strategy requires a glob expression" + return any(fnmatch(lower_name, pattern) for pattern in self.patterns) + + def extract_metadata( + self, + source: SourceData, + filename: str | None = None, + ) -> MediaMetadataBase | None: + """Extract media metadata from the source, if the file is a media file according to the filter. + If the file is found not to be a media file, None is returned. + + Args: + source: The source data to extract metadata from. This can be a bytes, Path, or an open file. + filename: The filename of the source data. This is required when extracting metadata from bytes or an open file. + + Returns: + The media metadata, if the file is a media file according to the filter. None otherwise. + """ + + if isinstance(source, (bytes, bytearray, io.IOBase)): + assert filename is not None, ( + "Filename is required when extracting metadata from bytes or IOBase" + ) + else: + assert filename is None, "Filename is not allowed when extracting metadata from path" + filename = source.name - if value_upper == MediaFilterStrategy.EXT.value: - return cls(strategy=MediaFilterStrategy.EXT) + media_type = _detect_media_type(filename, self, source) - if value_upper == MediaFilterStrategy.TYPE.value: - return cls(strategy=MediaFilterStrategy.TYPE) + if media_type is None: + return None - return cls(strategy=MediaFilterStrategy.PATTERN, pattern=value) + metadata = _build_metadata(media_type, source) + if metadata is None: + return None + return metadata _IMAGE_EXTENSIONS: set[str] = { @@ -83,69 +146,29 @@ def parse(cls, value: str | None) -> "MediaFilterConfig": _FILETYPE_PROBE_SIZE = 262 -def should_consider_media(name: str, config: MediaFilterConfig) -> bool: - """Check whether a file name qualifies for metadata extraction under the filter.""" - - lower_name = name.lower() - - if config.strategy == MediaFilterStrategy.TYPE: - # TYPE detection relies on file content, hence it always requires inspection. - return True - - if config.strategy == MediaFilterStrategy.EXT: - return _guess_type_from_extension(lower_name) is not None - - assert config.pattern is not None, "Pattern strategy requires a glob expression" - return fnmatch(lower_name, config.pattern.lower()) - - -def extract_metadata( - source: SourceData, - config: MediaFilterConfig, - filename: str | None = None, -) -> MediaMetadataBase | None: - if isinstance(source, (bytes, bytearray, io.IOBase)): - assert filename is not None, ( - "Filename is required when extracting metadata from bytes or IOBase" - ) - else: - assert filename is None, "Filename is not allowed when extracting metadata from path" - filename = source.name - - media_type = _detect_media_type(filename, config, source) - - if media_type is None: - return None - - metadata = _build_metadata(media_type, source) - if metadata is None: - return None - return metadata - - def _detect_media_type( name: str, config: MediaFilterConfig, source: SourceData, ) -> MediaMetadataType | None: - lower_name = name.lower() - extension_guess = _guess_type_from_extension(lower_name) - - if config.strategy == MediaFilterStrategy.EXT: - return extension_guess + # Case 1: GLOB strategy + if config.strategy == MediaFilterStrategy.GLOB: + if not any(fnmatch(name, pattern) for pattern in config.patterns): + return None - if config.strategy == MediaFilterStrategy.TYPE: - detected = _guess_type_from_filetype(source) - return detected if detected is not None else extension_guess + extension_guess = _guess_type_from_extension(name) - assert config.pattern is not None - if not fnmatch(lower_name, config.pattern.lower()): - return None - - if extension_guess is not None: + # Case 2: EXTENSION strategy + if config.strategy == MediaFilterStrategy.EXTENSION: return extension_guess - return _guess_type_from_filetype(source) + # Case 3: HEADER strategy + assert config.strategy == MediaFilterStrategy.HEADER, ( + "Internal error: Unexpected media filter strategy" + ) + + detected = _guess_type_from_filetype(source) + return detected if detected is not None else extension_guess def _guess_type_from_extension(name: str) -> MediaMetadataType | None: diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index 58abdbe4..cb5108d8 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -17,12 +17,7 @@ SqliteIndexWriterAggregator, ) from megatron.energon.flavors.webdataset.structs import ShardInfo -from megatron.energon.media.extractor import ( - MediaFilterConfig, - MediaFilterStrategy, - extract_metadata, - should_consider_media, -) +from megatron.energon.media.extractor import MediaFilterConfig from megatron.energon.media.metadata import serialize_media_metadata @@ -107,7 +102,7 @@ def _collect_media_files( ) -> list[Path]: """Return a sorted list of files to process based on the media filter.""" - consider_all = media_filter.strategy == MediaFilterStrategy.TYPE + consider_all = media_filter.should_consider_all() files: list[Path] = [] progress_bar = None @@ -129,7 +124,7 @@ def _collect_media_files( if progress_bar is not None: progress_bar.update() - if not consider_all and not should_consider_media(filename, media_filter): + if not consider_all and not media_filter.should_consider_media(filename): continue candidate = current_dir / filename @@ -153,7 +148,7 @@ def _process_filesystem_entry( media_filter: MediaFilterConfig, ) -> Iterator[IndexMediaMetadata]: file_path = Path(file_path) - extracted_metadata = extract_metadata(file_path, media_filter) + extracted_metadata = media_filter.extract_metadata(file_path) if extracted_metadata is None: return diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index ad7e6220..35dd529c 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -26,9 +26,7 @@ get_dataset_info, get_dataset_type, ) -from megatron.energon.flavors.webdataset.prepare import WebdatasetPreparator from megatron.energon.media.extractor import MediaFilterConfig -from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset from megatron.energon.metadataset.loader import prepare_metadataset @@ -136,10 +134,19 @@ def printify_json(data: Any) -> Any: is_flag=True, ) @click.option( - "--media-filter", + "--media-by-glob", type=str, - default=None, - help="Media detection strategy: EXT (extension, default), TYPE (by filetype), or a glob pattern such as '*.jpg'.", + help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", +) +@click.option( + "--media-by-header/--no-media-by-header", + default=False, + help="Media detection by binary file header.", +) +@click.option( + "--media-by-extension/--no-media-by-extension", + default=False, + help="Media detection by standard file extensions.", ) @click.option( "--fix-duplicates", @@ -155,7 +162,9 @@ def command( tar_index_only: bool, shuffle_tars: bool, media_metadata: bool, - media_filter: Optional[str], + media_by_glob: str | None, + media_by_header: bool, + media_by_extension: bool, fix_duplicates: bool, ): """Prepare WebDataset for use with energon. @@ -165,13 +174,17 @@ def command( details. """ - if media_filter is not None and not media_metadata: - raise click.UsageError("--media-filter requires --media-metadata") + if (media_by_glob is not None or media_by_header or media_by_extension) and not media_metadata: + raise click.UsageError("Media filters require --media-metadata") if media_metadata and tar_index_only: raise click.UsageError("--media-metadata cannot be combined with --tar-index-only") - media_filter_config = MediaFilterConfig.parse(media_filter) if media_metadata else None + media_filter_config = ( + MediaFilterConfig.parse(media_by_glob, media_by_header, media_by_extension) + if media_metadata + else None + ) ds_type = get_dataset_type(path) if ds_type == EnergonDatasetType.METADATASET: @@ -440,90 +453,5 @@ def progress_fn(els, length=None): click.echo("Done") -@click.command(name="prepare-media") -@click.argument( - "path", - type=click.Path(path_type=EPath), -) -@click.option( - "--progress/--no-progress", - default=True, -) -@click.option( - "--num-workers", - type=int, - default=16, - help="Number of workers to use to scan files", -) -@click.option( - "--media-metadata/--no-media-metadata", - default=True, - help="Compute and store media metadata during preparation.", -) -@click.option( - "--media-filter", - type=str, - default=None, - help="Media detection strategy: EXT (extension, default), TYPE (by filetype), or a glob pattern such as '*.jpg'.", -) -def prepare_media_command( - path: EPath, - progress: bool, - num_workers: int, - media_metadata: bool, - media_filter: Optional[str], -): - """Prepare a filesystem dataset by collecting media metadata.""" - - if not media_metadata: - click.echo("Skipping media metadata generation (--no-media-metadata). Nothing to do.") - return - - media_filter_config = MediaFilterConfig.parse(media_filter) - - ds_type = get_dataset_type(path) - if ds_type == EnergonDatasetType.WEBDATASET: - click.echo("Preparing webdataset and computing media metadata...") - - if progress: - - def progress_fn(els, length=None): - with click.progressbar( - els, - label="Processing shards", - show_pos=True, - length=length, - ) as bar: - yield from bar - - else: - - def progress_fn(els, length=None): - return els - - count = WebdatasetPreparator.add_media_metadata( - path, - media_filter=media_filter_config, - workers=num_workers, - progress_fn=progress_fn, - ) - - click.echo(f"Done. Stored metadata for {count} files.") - return - elif ds_type not in (EnergonDatasetType.FILESYSTEM, EnergonDatasetType.INVALID): - raise click.ClickException( - f"'prepare-media' only supports filesystem datasets, but this path is a '{ds_type}' dataset" - ) - - click.echo("Preparing filesystem dataset and computing media metadata...") - stored = prepare_filesystem_dataset( - path, - media_filter_config, - progress=progress, - workers=num_workers, - ) - click.echo(f"Done. Stored metadata for {stored} files.") - - if __name__ == "__main__": command() diff --git a/src/megatron/energon/tools/prepare_media.py b/src/megatron/energon/tools/prepare_media.py new file mode 100644 index 00000000..f888f001 --- /dev/null +++ b/src/megatron/energon/tools/prepare_media.py @@ -0,0 +1,106 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause + + +import click + +from megatron.energon.epathlib import EPath +from megatron.energon.flavors.webdataset.metadata import ( + EnergonDatasetType, + get_dataset_type, +) +from megatron.energon.flavors.webdataset.prepare import WebdatasetPreparator +from megatron.energon.media.extractor import MediaFilterConfig +from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset + + +@click.command(name="prepare-media") +@click.argument( + "path", + type=click.Path(path_type=EPath), +) +@click.option( + "--progress/--no-progress", + default=True, +) +@click.option( + "--num-workers", + type=int, + default=16, + help="Number of workers to use to scan files", +) +@click.option( + "--media-by-glob", + type=str, + help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", +) +@click.option( + "--media-by-header/--no-media-by-header", + default=False, + help="Media detection by binary file header.", +) +@click.option( + "--media-by-extension/--no-media-by-extension", + default=False, + help="Media detection by standard file extensions.", +) +def command( + path: EPath, + progress: bool, + num_workers: int, + media_by_glob: str | None, + media_by_header: bool, + media_by_extension: bool, +): + """Prepare a filesystem dataset by collecting media metadata.""" + + media_filter_config = MediaFilterConfig.parse( + media_by_glob, media_by_header, media_by_extension + ) + + ds_type = get_dataset_type(path) + if ds_type == EnergonDatasetType.WEBDATASET: + click.echo("Preparing webdataset and computing media metadata...") + + if progress: + + def progress_fn(els, length=None): + with click.progressbar( + els, + label="Processing shards", + show_pos=True, + length=length, + ) as bar: + yield from bar + + else: + + def progress_fn(els, length=None): + return els + + count = WebdatasetPreparator.add_media_metadata( + path, + media_filter=media_filter_config, + workers=num_workers, + progress_fn=progress_fn, + ) + + click.echo(f"Done. Stored metadata for {count} files.") + return + elif ds_type not in (EnergonDatasetType.FILESYSTEM, EnergonDatasetType.INVALID): + raise click.ClickException( + f"'prepare-media' only supports WebDatasets or filesystem datasets, but this path is a '{ds_type}' dataset" + ) + + click.echo("Preparing filesystem dataset and computing media metadata...") + stored = prepare_filesystem_dataset( + path, + media_filter_config, + progress=progress, + workers=num_workers, + ) + click.echo(f"Done. Stored metadata for {stored} files.") + + +if __name__ == "__main__": + command() diff --git a/tests/test_crudedataset.py b/tests/test_crudedataset.py index cc9758c5..820708a3 100644 --- a/tests/test_crudedataset.py +++ b/tests/test_crudedataset.py @@ -38,7 +38,7 @@ from megatron.energon.flavors.base_dataset import Sample from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder -from megatron.energon.media.extractor import MediaFilterConfig +from megatron.energon.media.extractor import MediaFilterConfig, MediaFilterStrategy from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset from megatron.energon.media.metadata import AVMetadata, ImageMetadata from megatron.energon.source_info import SourceInfo @@ -404,7 +404,7 @@ def create_crude_text_test_dataset(path: Path, offset: int): split_parts_ratio=[("train", 1.0)], shuffle_seed=None, workers=1, - media_filter=MediaFilterConfig.parse(None), + media_filter=None, ) with open(path / MAIN_FOLDER_NAME / "dataset.yaml", "w") as f: @@ -445,7 +445,7 @@ def create_multimedia_webdataset(path: Path): split_parts_ratio=[("train", 1.0)], shuffle_seed=None, workers=1, - media_filter=MediaFilterConfig.parse(None), + media_filter=MediaFilterConfig(strategy=MediaFilterStrategy.EXTENSION), ) with open(path / MAIN_FOLDER_NAME / "dataset.yaml", "w") as f: @@ -469,7 +469,9 @@ def create_multimedia_filesystem_dataset(path: Path): shutil.copyfile("tests/data/sync_test.mp4", path / "video001.mp4") shutil.copyfile("tests/data/test_audio.flac", path / "audio001.flac") - prepare_filesystem_dataset(EPath(path), MediaFilterConfig.parse(None), progress=False) + prepare_filesystem_dataset( + EPath(path), MediaFilterConfig(strategy=MediaFilterStrategy.EXTENSION), progress=False + ) def test_metadataset(self): torch.manual_seed(42) diff --git a/tests/test_media_pipeline.py b/tests/test_media_pipeline.py deleted file mode 100644 index 2e2a1a7e..00000000 --- a/tests/test_media_pipeline.py +++ /dev/null @@ -1,133 +0,0 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. -# SPDX-License-Identifier: BSD-3-Clause -import io -import json -import sqlite3 -import tempfile -import unittest -from pathlib import Path - -from PIL import Image - -from megatron.energon.cache.file_store import SystemFileStore -from megatron.energon.epathlib import EPath -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME -from megatron.energon.media.extractor import ( - MediaFilterConfig, - MediaFilterStrategy, - extract_metadata, -) -from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset -from megatron.energon.media.metadata import ( - AVMetadata, - ImageMetadata, - MediaMetadataType, - deserialize_media_metadata, - serialize_media_metadata, -) - - -class MediaPipelineTests(unittest.TestCase): - def _create_sample_image(self, path: Path, *, size: tuple[int, int] = (32, 16)) -> bytes: - image = Image.new("RGB", size, color="blue") - buffer = io.BytesIO() - image.save(buffer, format="JPEG") - buffer.seek(0) - with path.open("wb") as handle: - handle.write(buffer.getvalue()) - return buffer.getvalue() - - def test_av_metadata_roundtrip(self) -> None: - metadata = AVMetadata( - video_duration=1.5, - video_num_frames=45, - video_fps=30.0, - video_width=1920, - video_height=1080, - audio_duration=1.5, - audio_channels=2, - audio_sample_rate=48000, - ) - - metadata_type, payload = serialize_media_metadata(metadata) - - self.assertIs(metadata_type, MediaMetadataType.AV) - restored = deserialize_media_metadata(metadata_type, payload) - self.assertEqual(restored, metadata) - - def test_image_metadata_roundtrip(self) -> None: - metadata = ImageMetadata(width=64, height=32, format="PNG", mode="RGB") - - metadata_type, payload = serialize_media_metadata(metadata) - self.assertIs(metadata_type, MediaMetadataType.IMAGE) - restored = deserialize_media_metadata(metadata_type, payload) - self.assertEqual(restored, metadata) - - def test_extract_metadata_extension_strategy(self) -> None: - config = MediaFilterConfig.parse(None) - image_bytes = self._create_in_memory_image() - - extracted_metadata = extract_metadata(image_bytes, config, filename="sample.png") - self.assertIsNotNone(extracted_metadata) - self.assertEqual(extracted_metadata.metadata_type, MediaMetadataType.IMAGE) - self.assertEqual(extracted_metadata.width, 16) - self.assertEqual(extracted_metadata.height, 8) - - def test_extract_metadata_pattern_strategy(self) -> None: - config = MediaFilterConfig.parse("*.png") - image_bytes = self._create_in_memory_image() - - result = extract_metadata(image_bytes, config, filename="folder/sample.png") - self.assertIsNotNone(result) - - def test_extract_metadata_type_strategy(self) -> None: - config = MediaFilterConfig.parse(MediaFilterStrategy.TYPE.value) - image_bytes = self._create_in_memory_image() - - extracted_metadata = extract_metadata(image_bytes, config, filename="ignored.bin") - self.assertIsNotNone(extracted_metadata) - self.assertEqual(extracted_metadata.metadata_type, MediaMetadataType.IMAGE) - - def test_prepare_filesystem_dataset_and_retrieve_metadata(self) -> None: - with tempfile.TemporaryDirectory() as tmp: - tmp_root = Path(tmp) - image_path = tmp_root / "sample.jpg" - self._create_sample_image(image_path) - - config = MediaFilterConfig.parse(None) - stored = prepare_filesystem_dataset(EPath(tmp_root), config, progress=False) - self.assertEqual(stored, 1) - - sqlite_path = tmp_root / MAIN_FOLDER_NAME / "index.sqlite" - self.assertTrue(sqlite_path.is_file()) - - with sqlite3.connect(sqlite_path) as connection: - row = connection.execute( - "SELECT metadata_type, metadata_json FROM media_metadata WHERE entry_key = ?", - ("sample.jpg",), - ).fetchone() - filter_rows = connection.execute( - "SELECT strategy, pattern FROM media_filters" - ).fetchall() - - self.assertIsNotNone(row) - self.assertEqual(json.loads(row[1])["width"], 32) - self.assertEqual(filter_rows, [(MediaFilterStrategy.EXT.value, None)]) - - store = SystemFileStore(tmp_root) - metadata = store.get_media_metadata("sample.jpg") - self.assertIsInstance(metadata, ImageMetadata) - self.assertEqual(metadata.width, 32) - self.assertEqual(metadata.height, 16) - - image_path.unlink() - - def _create_in_memory_image(self) -> bytes: - image = Image.new("RGB", (16, 8), color="red") - buffer = io.BytesIO() - image.save(buffer, format="PNG") - return buffer.getvalue() - - -if __name__ == "__main__": - unittest.main() From 04f6bb17e0e2fc7601f5db1d373acd5b91c11e8d Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 29/80] Ruff --- src/megatron/energon/flavors/webdataset/tar_patcher.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 27b5cce4..d320907a 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -1,10 +1,8 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -import re from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field -from multiprocessing import cpu_count from pathlib import Path from typing import Any, Dict, List, Sequence, Set From 0ae1310a753dc3ccb5ebf0aee8e192f9e4691cf1 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 30/80] Small typing and parallism updates --- .../energon/flavors/webdataset/tar_patcher.py | 33 +++++++++---------- src/megatron/energon/media/extractor.py | 5 +-- 2 files changed, 19 insertions(+), 19 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index d320907a..6e886bbd 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -1,10 +1,11 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause +import concurrent.futures from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field from pathlib import Path -from typing import Any, Dict, List, Sequence, Set +from typing import BinaryIO, Dict, List, Sequence, Set import click from tqdm import tqdm @@ -48,7 +49,7 @@ def is_zero_block(block: bytes) -> bool: return all(b == 0 for b in block) -def parse_size(size_bytes: bytes) -> int: +def parse_size(size_bytes: bytes | bytearray) -> int: """ Parse the tar size field (supports standard octal and base-256). """ @@ -120,7 +121,7 @@ def format_chksum(val: int) -> bytes: return f"{val:06o}\0 ".encode("ascii") -def extract_full_path(hdr: bytes) -> tuple[str, bool]: +def extract_full_path(hdr: bytes | bytearray) -> tuple[str, bool]: """ Extract the logical path from a header. Returns (full_path, is_ustar_style). @@ -137,7 +138,7 @@ def extract_full_path(hdr: bytes) -> tuple[str, bool]: return name, False -def pax_parse(data: bytes): +def pax_parse(data: bytes | bytearray) -> list[tuple[str, str]]: """ Parse PAX extended header into list of (key, value). Format lines: "%d key=value\n". @@ -243,9 +244,9 @@ def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetS disable=not self._show_progress, ) as dataset_pbar: with ProcessPoolExecutor(max_workers=max_workers) as executor: - for tar_file, result in executor.map( - _scan_tar_worker, tasks, chunksize=(len(tasks) // max_workers) or 1 - ): + jobs = [executor.submit(_scan_tar_worker, *task) for task in tasks] + for future in concurrent.futures.as_completed(jobs): + tar_file, result = future.result() scan_results[tar_file] = result if not result.compatible: compatible = False @@ -298,9 +299,9 @@ def dataset_apply_prefix( disable=not self._show_progress, ) as dataset_pbar: with ProcessPoolExecutor(max_workers=max_workers) as executor: - for _ in executor.map( - _apply_prefix_worker, tasks, chunksize=(len(tasks) // max_workers) or 1 - ): + jobs = [executor.submit(_apply_prefix_worker, *task) for task in tasks] + for future in concurrent.futures.as_completed(jobs): + future.result() dataset_pbar.update() def scan(self, tar_path: Path | str, prefix: str, progress: bool = True) -> TarScanResult: @@ -406,7 +407,7 @@ def apply_prefix( if is_ustar: new_prefix_b, new_name_b = split_ustar_path(new_path) - if new_prefix_b is None: + if new_prefix_b is None or new_name_b is None: raise TarPatcherError( f"Internal error: ustar fields don't fit for {new_path!r}." ) @@ -430,7 +431,7 @@ def apply_prefix( def _evaluate_pax_header( self, - handle: Any, + handle: BinaryIO, size_val: int, pbar: tqdm, result: TarScanResult, @@ -448,7 +449,7 @@ def _evaluate_pax_header( f"PAX header contains unsupported key {key!r}; in-place rename is unsafe." ) - def _skip_payload(self, handle: Any, size_val: int, pbar: tqdm) -> None: + def _skip_payload(self, handle: BinaryIO, size_val: int, pbar: tqdm) -> None: data_blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE if data_blocks: handle.seek(data_blocks * BLOCK_SIZE, 1) @@ -465,15 +466,13 @@ def _progress(self, total: int, desc: str, disable: bool = False) -> tqdm: ) -def _scan_tar_worker(task: tuple[str, str]) -> tuple[str, TarScanResult]: - tar_file, prefix = task +def _scan_tar_worker(tar_file: str, prefix: str) -> tuple[str, TarScanResult]: patcher = TarPatcher(show_progress=False) result = patcher.scan(tar_file, prefix, progress=False) return tar_file, result -def _apply_prefix_worker(task: tuple[str, str]) -> str: - tar_file, prefix = task +def _apply_prefix_worker(tar_file: str, prefix: str) -> str: patcher = TarPatcher(show_progress=False) patcher.apply_prefix(tar_file, prefix, progress=False) return tar_file diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index f6203e84..132ef047 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -9,7 +9,7 @@ from enum import Enum from fnmatch import fnmatch from pathlib import Path -from typing import Union +from typing import BinaryIO, Union import filetype from PIL import Image, UnidentifiedImageError @@ -20,7 +20,7 @@ logger = logging.getLogger(__name__) -SourceData = Union[bytes, Path, io.IOBase] +SourceData = Union[bytes, Path, BinaryIO] class MediaFilterStrategy(str, Enum): @@ -59,6 +59,7 @@ def parse(cls, glob: str | None, header: bool, extension: bool) -> "MediaFilterC return cls(strategy=MediaFilterStrategy.HEADER) if extension: return cls(strategy=MediaFilterStrategy.EXTENSION) + assert False, "Internal error: Should not be reached" def should_consider_all(self) -> bool: """Check whether all files need to be considered for metadata extraction. From 938bfe1edc4998f77bb02e7a3e0a59f0cd4a2dfb Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 31/80] Better pillow-adjusted image extensions --- src/megatron/energon/media/extractor.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index 132ef047..db990981 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -121,7 +121,10 @@ def extract_metadata( _IMAGE_EXTENSIONS: set[str] = { "bmp", "gif", - "heic", + "ico", + "j2k", + "jp2", + "jpx", "jpeg", "jpg", "png", From e3b1fc43c6a4ebc7ded67fe2519e9a1a378fd453 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 32/80] TarPatcher num_workers and better CLI flags --- src/megatron/energon/flavors/webdataset/prepare.py | 6 ++++-- .../energon/flavors/webdataset/tar_patcher.py | 11 +++++++---- src/megatron/energon/media/extractor.py | 1 + src/megatron/energon/tools/prepare.py | 8 ++++---- src/megatron/energon/tools/prepare_media.py | 8 ++++---- 5 files changed, 20 insertions(+), 14 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index 131abcfc..558a76a3 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -503,7 +503,7 @@ def prepare_dataset( if fix_duplicates: tar_patcher = TarPatcher(show_progress=True) scan_result: DatasetScanResult = tar_patcher.dataset_scan( - paths, parent_path=parent_path + paths, parent_path=parent_path, num_workers=workers ) if scan_result.has_duplicates: @@ -518,7 +518,9 @@ def prepare_dataset( sys.exit(1) print("Fixing the dataset now.") - tar_patcher.dataset_apply_prefix(paths, parent_path=parent_path) + tar_patcher.dataset_apply_prefix( + paths, parent_path=parent_path, num_workers=workers + ) print("Duplicate keys fixed successfully.") else: print("No duplicate keys found, continuing.") diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 6e886bbd..088ee39e 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -198,7 +198,9 @@ class TarPatcher: def __init__(self, *, show_progress: bool = True) -> None: self._show_progress = show_progress - def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetScanResult: + def dataset_scan( + self, tar_files: Sequence[str], parent_path: EPath, num_workers: int = NUM_WORKERS + ) -> DatasetScanResult: """Scan multiple tar files, checking compatibility for in-place renaming and for duplicate sample keys. Each tar_file string must be a relative or absolute path to a tar file. @@ -235,7 +237,7 @@ def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetS scan_results={}, ) - max_workers = min(len(tasks), NUM_WORKERS) + max_workers = min(len(tasks), num_workers) with tqdm( total=len(tasks), @@ -275,6 +277,7 @@ def dataset_apply_prefix( self, tar_files: Sequence[str], parent_path: EPath, + num_workers: int = NUM_WORKERS, ) -> None: """Apply shard-specific prefixes to a set of tar files.""" @@ -290,7 +293,7 @@ def dataset_apply_prefix( if not tasks: return - max_workers = min(len(tasks), NUM_WORKERS) + max_workers = min(len(tasks), num_workers) with tqdm( total=len(tasks), @@ -522,7 +525,7 @@ def main(tar_file: Path, prefix: str, dry_run: bool): click.echo("Applying prefix in-place...") try: - patcher.apply_prefix(tar_path, prefix, scan_result=scan_result) + patcher.apply_prefix(tar_path, prefix) except TarPatcherError as exc: raise click.ClickException(str(exc)) from exc click.echo("Done. All eligible member names have been updated.") diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index db990981..10ea6be3 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -135,6 +135,7 @@ def extract_metadata( _AV_EXTENSIONS: set[str] = { "aac", + "avi", "flac", "m4a", "m4v", diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 35dd529c..4d6fb62a 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -139,13 +139,13 @@ def printify_json(data: Any) -> Any: help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", ) @click.option( - "--media-by-header/--no-media-by-header", - default=False, + "--media-by-header", + is_flag=True, help="Media detection by binary file header.", ) @click.option( - "--media-by-extension/--no-media-by-extension", - default=False, + "--media-by-extension", + is_flag=True, help="Media detection by standard file extensions.", ) @click.option( diff --git a/src/megatron/energon/tools/prepare_media.py b/src/megatron/energon/tools/prepare_media.py index f888f001..464bc813 100644 --- a/src/megatron/energon/tools/prepare_media.py +++ b/src/megatron/energon/tools/prepare_media.py @@ -35,13 +35,13 @@ help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", ) @click.option( - "--media-by-header/--no-media-by-header", - default=False, + "--media-by-header", + is_flag=True, help="Media detection by binary file header.", ) @click.option( - "--media-by-extension/--no-media-by-extension", - default=False, + "--media-by-extension", + is_flag=True, help="Media detection by standard file extensions.", ) def command( From 5b93f29e5bd6c9b2ce5989f9712b2a8fa23cbd36 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 33/80] Super optimized tar patcher using numba --- .../energon/flavors/webdataset/tar_patcher.py | 542 +++++++++++------- 1 file changed, 322 insertions(+), 220 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 088ee39e..16a1d40e 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -5,13 +5,21 @@ from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field from pathlib import Path -from typing import BinaryIO, Dict, List, Sequence, Set - +import re +from typing import BinaryIO, Callable, Dict, List, Sequence, Set +import numpy as np import click from tqdm import tqdm from megatron.energon.epathlib import EPath -from megatron.energon.flavors.webdataset.config import split_name_re + +# Try to import numba for JIT compilation of hot paths +try: + from numba import njit, jit # type: ignore[import-not-found] + import numba as nb + HAS_NUMBA = True +except ImportError: + raise ImportError("numba is required for this module") BLOCK_SIZE = 512 NUM_WORKERS = 16 @@ -25,8 +33,8 @@ class TarPatcherError(Exception): class TarScanResult: """Result of scanning a tar archive.""" - filenames: list[str] = field(default_factory=list) - sample_keys: Set[str] = field(default_factory=set) + filenames: list[bytes] = field(default_factory=list) + sample_keys: Set[bytes] = field(default_factory=set) compatible: bool = True issues: list[str] = field(default_factory=list) @@ -45,30 +53,45 @@ def has_duplicates(self) -> bool: return bool(self.duplicates) -def is_zero_block(block: bytes) -> bool: - return all(b == 0 for b in block) +@njit(cache=True, fastmath=True, inline="always") +def _nb_is_zero_block(block: bytearray | bytes) -> bool: + """Numba-optimized: Check if a block is all zeros.""" + for i in range(len(block)): + if block[i] != 0: + return False + return True -def parse_size(size_bytes: bytes | bytearray) -> int: - """ - Parse the tar size field (supports standard octal and base-256). - """ - if not size_bytes: - return 0 - +@njit(cache=True, inline="always") +def _nb_parse_size(size: np.ndarray) -> int: # Base-256 (binary) encoding (POSIX) - if size_bytes[0] & 0x80: - return int.from_bytes(size_bytes, byteorder="big", signed=True) - - # Octal ascii - s = size_bytes.rstrip(b"\0 ").decode("ascii", "replace").strip() or "0" - try: - return int(s, 8) - except ValueError as e: - raise ValueError(f"Invalid size field {size_bytes!r}: {e}") from e - - -def split_ustar_path(path: str): + # # [124:136] + if size[0] & 0x80: + # Numba doesn't support int.from_bytes, so implement base-256 parsing manually + # Big endian encoding + n = nb.int64(size[0] & 0x3F) + for i in range(1, size.size): + n = (n << 8) | nb.int64(size[i]) + # If the sign bit is set, compute the negative value per tar spec + if size[0] & 0x40: + print("negative binary size") + return 0 + return n + + # Parse ascii integer + n = nb.int64(0) + for i in range(size.size): + byte = size[i] + if byte == 0 or byte == 32: + continue + if byte < 48 or byte > 57: + return 0 + n = (n * 8) + nb.int64(byte - 48) + return n + + +@njit(cache=True, inline="always") +def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray | None]: """ Split path into (prefix, name) suitable for ustar: - name: up to 100 bytes @@ -76,120 +99,303 @@ def split_ustar_path(path: str): - both UTF-8 encoded Return (prefix_bytes, name_bytes) or (None, None) if it doesn't fit. """ - encoded = path.encode("utf-8") - - if len(encoded) <= 100: - return b"", encoded + if len(path) <= 100: + return np.empty(0, dtype=np.uint8), path # Try to split at a '/' so prefix <=155 bytes and name <=100 bytes. cut = -1 for i, ch in enumerate(path): if ch == "/": - if len(path[:i].encode("utf-8")) <= 155: + if i <= 155: cut = i if cut == -1: - return None, None + return np.empty(0, dtype=np.uint8), np.empty(0, dtype=np.uint8) - prefix_str = path[:cut] + prefix_str = path[0:cut] name_str = path[cut + 1 :] - prefix_b = prefix_str.encode("utf-8") - name_b = name_str.encode("utf-8") + prefix_b = prefix_str + name_b = name_str - if len(prefix_b) > 155 or len(name_b) > 100: - return None, None + if prefix_b.size > 155 or name_b.size > 100: + return np.empty(0, dtype=np.uint8), np.empty(0, dtype=np.uint8) return prefix_b, name_b -def compute_checksum(header: bytearray) -> int: +@njit(cache=True, fastmath=True, inline="always") +def _nb_compute_checksum(header: np.ndarray) -> int: """ - Compute tar header checksum: - - Treat chksum field (148-155) as spaces (0x20) during calculation. + Numba-optimized: Compute tar header checksum. + Treat chksum field (148-155) as spaces (0x20) during calculation. """ - tmp = bytearray(header) + total = nb.int64(0) + for i in range(148): + total += header[i] for i in range(148, 156): - tmp[i] = 32 # ' ' - return sum(tmp) - - -def format_chksum(val: int) -> bytes: - """ - Format checksum as 6 octal digits, NUL, space (total 8 bytes). - """ - return f"{val:06o}\0 ".encode("ascii") - - -def extract_full_path(hdr: bytes | bytearray) -> tuple[str, bool]: - """ - Extract the logical path from a header. - Returns (full_path, is_ustar_style). - """ - name = hdr[0:100].rstrip(b"\0").decode("utf-8", "replace") - magic = hdr[257:263] - if magic in (b"ustar\0", b"ustar "): - prefix_field = hdr[345:500].rstrip(b"\0").decode("utf-8", "replace") - if prefix_field: - return f"{prefix_field}/{name}" if name else prefix_field, True + total += 32 + for i in range(156, len(header)): + total += header[i] + return total + + +@njit(cache=True, inline="always") +def _nb_format_chksum(val: int, dst: np.ndarray) -> None: + dst[0] = (nb.uint8(val >> 15) & 0o7) | 0x30 + dst[1] = (nb.uint8(val >> 12) & 0o7) | 0x30 + dst[2] = (nb.uint8(val >> 9) & 0o7) | 0x30 + dst[3] = (nb.uint8(val >> 6) & 0o7) | 0x30 + dst[4] = (nb.uint8(val >> 3) & 0o7) | 0x30 + dst[5] = (nb.uint8(val) & 0o7) | 0x30 + dst[6] = 0 + dst[7] = 32 + + +@njit( + cache=True, + inline="always", +) +def _nb_extract_full_path(hdr: np.ndarray) -> tuple[np.ndarray, bool]: + for i in range(100): + if hdr[i] == 0: + name = hdr[0:i] + break + else: + name = hdr[0:100] + # if magic == b"ustar\0" or magic == b"ustar ": + if hdr[257] == 117 and hdr[258] == 115 and hdr[259] == 116 and hdr[260] == 97 and hdr[261] == 114 and (hdr[262] == 0 or hdr[262] == 32): + for i in range(345, 500): + if hdr[i] == 0: + prefix_field = hdr[345:i] + break + else: + prefix_field = hdr[345:500] + if prefix_field.size > 0 and name.size > 0: + out = np.empty(prefix_field.size + 1 + name.size, dtype=np.uint8) + out[:prefix_field.size] = prefix_field + out[prefix_field.size] = 47 + out[prefix_field.size+1:] = name + return out, True + elif prefix_field.size > 0: + return prefix_field, True else: return name, True else: return name, False -def pax_parse(data: bytes | bytearray) -> list[tuple[str, str]]: +@njit(cache=True) +def pax_parse(data: bytes) -> list[tuple[bytes, bytes]]: """ Parse PAX extended header into list of (key, value). Format lines: "%d key=value\n". """ out = [] - i = 0 + i = nb.int64(0) n = len(data) while i < n: # parse length j = i - while j < n and data[j : j + 1] != b" ": + while j < n and data[j] != 32: j += 1 if j == n: break - try: - rec_len = int(data[i:j].decode("ascii", "replace")) - except ValueError: - break + rec_len = nb.int64(0) + for k in range(i, j): + if data[k] < 48 or data[k] > 57: + rec_len = 512 + break + rec_len = (rec_len * 10) + (data[k] - 48) if i + rec_len > n: break - rec = data[i : i + rec_len] - sp = rec.find(b" ") - if sp == -1 or not rec.endswith(b"\n"): + sp = -1 + end = i + rec_len + if data[end - 1] != 10: break - - kv = rec[sp + 1 : -1] # drop trailing '\n' - eq = kv.find(b"=") - if eq == -1: - key = kv.decode("utf-8", "replace") - val = "" + end -= 1 + for k in range(i, end): + if data[k] == 32: + sp = k + break else: - key = kv[:eq].decode("utf-8", "replace") - val = kv[eq + 1 :].decode("utf-8", "replace") - out.append((key, val)) + break + + for i in range(sp + 1, end): + # ord(b"=") = 61 + if data[i] == 61: + key = data[sp + 1 : i] + val = data[i + 1 : end] + out.append((key, val)) + break i += rec_len return out +@njit(cache=True) +def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: + """Update the header with a new path, prefixing the path with prefix. + + Args: + hdr: The header to update. + prefix: The prefix to add to the path. + + Returns: + True if the header was updated successfully, False otherwise. + And the number of blocks to skip. + + """ + size_val = _nb_parse_size(hdr[124:136]) + + typeflag = hdr[156] + # ord(b"L") = 76, ord(b"K") = 75 + if typeflag == 76 or typeflag == 75: + raise TarPatcherError( + "Unexpected GNU longname/longlink encountered during patch." + ) + + # ord(b"x") = 120, ord(b"g") = 103 + if typeflag == 120 or typeflag == 103: + return False, size_val + + orig_path, is_ustar = _nb_extract_full_path(hdr) + #new_path = prefix + (name_prefix + b'/' if len(name_prefix) > 0 and len(name) > 0 else b'') + name + # ord(b"/") = 47 + new_path = np.empty(prefix.size + orig_path.size, dtype=np.uint8) + new_path[:prefix.size] = prefix + new_path[prefix.size:] = orig_path + + if is_ustar: + new_prefix_b, new_name_b = split_ustar_path(new_path) + if new_name_b.size == 0: + raise TarPatcherError( + "Internal error: ustar fields don't fit for " + repr(new_path) + "." + ) + hdr[:new_name_b.size] = new_name_b + for i in range(new_name_b.size, 100): + hdr[i] = 0 + hdr[345:345 + new_prefix_b.size] = new_prefix_b + for i in range(345 + new_prefix_b.size, 500): + hdr[i] = 0 + else: + new_name_b = new_path + if new_name_b.size > 100: + raise TarPatcherError( + "Internal error: legacy name too long for " + repr(new_path) + "." + ) + hdr[0:new_name_b.size] = new_name_b + for i in range(new_name_b.size, 100): + hdr[i] = 0 + + checksum = _nb_compute_checksum(hdr) + _nb_format_chksum(checksum, hdr[148:156]) + + return True, size_val + + + +@njit +def _nb_evaluate_pax_header( + raw_data: np.ndarray, + position: nb.int64, + size_val: int, +) -> None: + blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + data = raw_data[position:position + blocks] + if data.size < blocks: + raise TarPatcherError("Truncated PAX extended header data.") + records = pax_parse(data[:size_val]) + for key, _ in records: + for pax_key in PAX_PATH_KEYS: + if key.size == pax_key.size and np.all(key == pax_key): + raise TarPatcherError( + "PAX header contains unsupported key; in-place rename is unsafe." + ) + + +@njit(cache=True) +def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, str]: + position = nb.int64(0) + total = raw_data.size + while True: + header = raw_data[position:position + BLOCK_SIZE].copy() + if position + BLOCK_SIZE > total: + raise TarPatcherError("Unexpected EOF while reading header.") + + if _nb_is_zero_block(header): + break + + size_val = _nb_parse_size(header[124:136]) + + typeflag = header[156] + # ord(b"L") = 76, ord(b"K") = 75 + if typeflag == 76 or typeflag == 75: + raise TarPatcherError( + "Unexpected GNU longname/longlink encountered during patch." + ) + + # ord("L") = 76, ord("K") = 75 + if typeflag in (76, 75): + raise TarPatcherError("Found GNU longname/longlink entry; in-place rename is unsupported.") + + # ord("x") = 120, ord("g") = 103 + if typeflag in (120, 103): + _nb_evaluate_pax_header(raw_data, position, size_val) + else: + full_path, is_ustar = _nb_extract_full_path(header) + + new_path = np.empty(prefix_bytes.size + full_path.size, dtype=np.uint8) + new_path[:prefix_bytes.size] = prefix_bytes + new_path[prefix_bytes.size:] = full_path + if is_ustar: + new_prefix_b, new_name_b = split_ustar_path(new_path) + if new_name_b.size == 0: + raise TarPatcherError("New name too long for ustar fields.") + else: + if new_path.size > 100: + raise TarPatcherError("New name too long for legacy header.") + + position += BLOCK_SIZE + position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + + +@jit(cache=True) +def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: + position = nb.int64(0) + total = raw_data.size + while True: + header = raw_data[position:position + BLOCK_SIZE].copy() + if position + BLOCK_SIZE > total: + raise TarPatcherError("Unexpected EOF while reading header.") + + if _nb_is_zero_block(header): + break + + was_updated, size_val = update_header(header, prefix_bytes) + + if was_updated: + raw_data[position:position + BLOCK_SIZE] = header + + position += BLOCK_SIZE + position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + + # Keys that, if present in PAX, mean path info is controlled by PAX, # so in-place rename of classic headers is NOT safe. -PAX_PATH_KEYS = { - "path", - "linkpath", - "gnu.path", - "gnu.linkpath", - "SCHILY.path", - "SCHILY.linkpath", -} +PAX_PATH_KEYS = ( + np.frombuffer(b"path", dtype=np.uint8), + np.frombuffer(b"linkpath", dtype=np.uint8), + np.frombuffer(b"gnu.path", dtype=np.uint8), + np.frombuffer(b"gnu.linkpath", dtype=np.uint8), + np.frombuffer(b"SCHILY.path", dtype=np.uint8), + np.frombuffer(b"SCHILY.linkpath", dtype=np.uint8), +) + + +split_name_re_bytes = re.compile(rb"^((?:.*/|)[^.]+)[.]([^/]*)$") class TarPatcher: @@ -198,9 +404,7 @@ class TarPatcher: def __init__(self, *, show_progress: bool = True) -> None: self._show_progress = show_progress - def dataset_scan( - self, tar_files: Sequence[str], parent_path: EPath, num_workers: int = NUM_WORKERS - ) -> DatasetScanResult: + def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetScanResult: """Scan multiple tar files, checking compatibility for in-place renaming and for duplicate sample keys. Each tar_file string must be a relative or absolute path to a tar file. @@ -237,7 +441,7 @@ def dataset_scan( scan_results={}, ) - max_workers = min(len(tasks), num_workers) + max_workers = min(len(tasks), NUM_WORKERS) with tqdm( total=len(tasks), @@ -277,7 +481,6 @@ def dataset_apply_prefix( self, tar_files: Sequence[str], parent_path: EPath, - num_workers: int = NUM_WORKERS, ) -> None: """Apply shard-specific prefixes to a set of tar files.""" @@ -293,7 +496,7 @@ def dataset_apply_prefix( if not tasks: return - max_workers = min(len(tasks), num_workers) + max_workers = min(len(tasks), NUM_WORKERS) with tqdm( total=len(tasks), @@ -307,130 +510,25 @@ def dataset_apply_prefix( future.result() dataset_pbar.update() - def scan(self, tar_path: Path | str, prefix: str, progress: bool = True) -> TarScanResult: + def scan(self, tar_path: Path | str, prefix: str) -> None: """Scan *tar_path* and evaluate compatibility for prefixing entries.""" - path = Path(tar_path) - size = path.stat().st_size - result = TarScanResult() - - progress_context = self._progress(size, "Scanning", disable=not progress) - - with path.open("rb") as handle, progress_context as pbar: - while True: - header = handle.read(BLOCK_SIZE) - if not header: - raise TarPatcherError("Unexpected EOF while reading header.") - if len(header) < BLOCK_SIZE: - raise TarPatcherError("Truncated tar header.") - - pbar.update(BLOCK_SIZE) - - if is_zero_block(header): - break - - typeflag = header[156:157] - size_val = parse_size(header[124:136]) - - if typeflag in (b"L", b"K"): - result.compatible = False - result.issues.append( - "Found GNU longname/longlink entry; in-place rename is unsupported." - ) - self._skip_payload(handle, size_val, pbar) - continue - - if typeflag in (b"x", b"g"): - self._evaluate_pax_header(handle, size_val, pbar, result) - continue - - full_path, is_ustar = extract_full_path(header) - result.filenames.append(full_path) - name_match = split_name_re.match(full_path) - if name_match is not None: - result.sample_keys.add(name_match.group(1)) - - new_path = prefix + full_path - if is_ustar: - new_prefix_b, new_name_b = split_ustar_path(new_path) - if new_prefix_b is None: - result.compatible = False - result.issues.append(f"New name too long for ustar fields: {new_path!r}.") - else: - if len(new_path.encode("utf-8")) > 100: - result.compatible = False - result.issues.append(f"New name too long for legacy header: {new_path!r}.") - - self._skip_payload(handle, size_val, pbar) - - return result + prefix_bytes = np.frombuffer(prefix.encode("utf-8"), dtype=np.uint8) + + raw_data = np.memmap(tar_path, dtype=np.uint8, mode="readwrite") + + _nb_scan_file(raw_data, prefix_bytes) def apply_prefix( self, tar_path: Path | str, prefix: str, - progress: bool = True, ) -> None: """Apply *prefix* to entries in *tar_path* in place.""" - - path = Path(tar_path) - size = path.stat().st_size - - progress_context = self._progress(size, "Patching", disable=not progress) - - with path.open("r+b") as handle, progress_context as pbar: - while True: - position = handle.tell() - header = handle.read(BLOCK_SIZE) - if not header: - raise TarPatcherError("Unexpected EOF while reading header.") - if len(header) < BLOCK_SIZE: - raise TarPatcherError("Truncated tar header encountered during patch.") - - pbar.update(BLOCK_SIZE) - - if is_zero_block(header): - break - - hdr = bytearray(header) - typeflag = hdr[156:157] - size_val = parse_size(hdr[124:136]) - - if typeflag in (b"L", b"K"): - raise TarPatcherError( - "Unexpected GNU longname/longlink encountered during patch." - ) - - if typeflag in (b"x", b"g"): - self._skip_payload(handle, size_val, pbar) - continue - - full_path, is_ustar = extract_full_path(hdr) - new_path = prefix + full_path - - if is_ustar: - new_prefix_b, new_name_b = split_ustar_path(new_path) - if new_prefix_b is None or new_name_b is None: - raise TarPatcherError( - f"Internal error: ustar fields don't fit for {new_path!r}." - ) - hdr[0:100] = new_name_b.ljust(100, b"\0") - hdr[345:500] = new_prefix_b.ljust(155, b"\0") - else: - new_name_b = new_path.encode("utf-8") - if len(new_name_b) > 100: - raise TarPatcherError( - f"Internal error: legacy name too long for {new_path!r}." - ) - hdr[0:100] = new_name_b.ljust(100, b"\0") - - checksum = compute_checksum(hdr) - hdr[148:156] = format_chksum(checksum) - - handle.seek(position) - handle.write(hdr) - - self._skip_payload(handle, size_val, pbar) + prefix_bytes = np.frombuffer(prefix.encode("utf-8"), dtype=np.uint8) + raw_data = np.memmap(tar_path, dtype=np.uint8, mode="readwrite") + _nb_process_file(raw_data, prefix_bytes) + raw_data.flush() def _evaluate_pax_header( self, @@ -446,7 +544,7 @@ def _evaluate_pax_header( pbar.update(blocks * BLOCK_SIZE) records = pax_parse(data[:size_val]) for key, _ in records: - if key in PAX_PATH_KEYS: + if any(key.size == pax_key.size and np.all(key == pax_key) for pax_key in PAX_PATH_KEYS): result.compatible = False result.issues.append( f"PAX header contains unsupported key {key!r}; in-place rename is unsafe." @@ -505,18 +603,19 @@ def main(tar_file: Path, prefix: str, dry_run: bool): * Any GNU longname/longlink (L/K). * Any resulting name that doesn't fit fixed-size header fields. """ + import time tar_path = Path(tar_file) patcher = TarPatcher() click.echo(f"Scanning {tar_path} for in-place rename feasibility...") - try: - scan_result = patcher.scan(tar_path, prefix) - except TarPatcherError as exc: - raise click.ClickException(str(exc)) from exc - - if not scan_result.compatible: - issues = "; ".join(scan_result.issues) or "Tar archive not compatible with in-place rename." - raise click.ClickException(f"In-place rename not supported: {issues}") + for i in range(10): + try: + start = time.time() + patcher.scan(tar_path, prefix) + end = time.time() + print(f"Scan time: {end - start} seconds") + except TarPatcherError as exc: + raise click.ClickException(str(exc)) from exc click.echo("OK: in-place modification is possible under current rules.") @@ -525,7 +624,10 @@ def main(tar_file: Path, prefix: str, dry_run: bool): click.echo("Applying prefix in-place...") try: + start = time.time() patcher.apply_prefix(tar_path, prefix) + end = time.time() + print(f"Apply time: {end - start} seconds") except TarPatcherError as exc: raise click.ClickException(str(exc)) from exc click.echo("Done. All eligible member names have been updated.") From 08caa1f805eb0aba52b474de0903352d7c049bb4 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 34/80] Deps. Formatting. Bring num_workers back. Fix bug in `split_ustar_path` --- pyproject.toml | 3 + .../energon/flavors/webdataset/tar_patcher.py | 84 +- uv.lock | 3404 +++++++++-------- 3 files changed, 1786 insertions(+), 1705 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e646cb47..793fb161 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -82,6 +82,9 @@ av_decode = [ guess_content = [ "filetype>=1.0.0", ] +tar_patcher = [ + "numba", +] [project.urls] Homepage = "https://github.com/NVIDIA/Megatron-Energon" diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 16a1d40e..30c8653e 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -2,21 +2,23 @@ # SPDX-License-Identifier: BSD-3-Clause import concurrent.futures +import re from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field from pathlib import Path -import re from typing import BinaryIO, Callable, Dict, List, Sequence, Set -import numpy as np + import click +import numpy as np from tqdm import tqdm from megatron.energon.epathlib import EPath # Try to import numba for JIT compilation of hot paths try: - from numba import njit, jit # type: ignore[import-not-found] import numba as nb + from numba import jit, njit # type: ignore[import-not-found] + HAS_NUMBA = True except ImportError: raise ImportError("numba is required for this module") @@ -77,7 +79,7 @@ def _nb_parse_size(size: np.ndarray) -> int: print("negative binary size") return 0 return n - + # Parse ascii integer n = nb.int64(0) for i in range(size.size): @@ -105,7 +107,7 @@ def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray | None]: # Try to split at a '/' so prefix <=155 bytes and name <=100 bytes. cut = -1 for i, ch in enumerate(path): - if ch == "/": + if ch == 47: # ord(b"/") = 47 if i <= 155: cut = i @@ -164,7 +166,14 @@ def _nb_extract_full_path(hdr: np.ndarray) -> tuple[np.ndarray, bool]: else: name = hdr[0:100] # if magic == b"ustar\0" or magic == b"ustar ": - if hdr[257] == 117 and hdr[258] == 115 and hdr[259] == 116 and hdr[260] == 97 and hdr[261] == 114 and (hdr[262] == 0 or hdr[262] == 32): + if ( + hdr[257] == 117 + and hdr[258] == 115 + and hdr[259] == 116 + and hdr[260] == 97 + and hdr[261] == 114 + and (hdr[262] == 0 or hdr[262] == 32) + ): for i in range(345, 500): if hdr[i] == 0: prefix_field = hdr[345:i] @@ -173,9 +182,9 @@ def _nb_extract_full_path(hdr: np.ndarray) -> tuple[np.ndarray, bool]: prefix_field = hdr[345:500] if prefix_field.size > 0 and name.size > 0: out = np.empty(prefix_field.size + 1 + name.size, dtype=np.uint8) - out[:prefix_field.size] = prefix_field + out[: prefix_field.size] = prefix_field out[prefix_field.size] = 47 - out[prefix_field.size+1:] = name + out[prefix_field.size + 1 :] = name return out, True elif prefix_field.size > 0: return prefix_field, True @@ -253,20 +262,18 @@ def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: typeflag = hdr[156] # ord(b"L") = 76, ord(b"K") = 75 if typeflag == 76 or typeflag == 75: - raise TarPatcherError( - "Unexpected GNU longname/longlink encountered during patch." - ) + raise TarPatcherError("Unexpected GNU longname/longlink encountered during patch.") # ord(b"x") = 120, ord(b"g") = 103 if typeflag == 120 or typeflag == 103: return False, size_val orig_path, is_ustar = _nb_extract_full_path(hdr) - #new_path = prefix + (name_prefix + b'/' if len(name_prefix) > 0 and len(name) > 0 else b'') + name + # new_path = prefix + (name_prefix + b'/' if len(name_prefix) > 0 and len(name) > 0 else b'') + name # ord(b"/") = 47 new_path = np.empty(prefix.size + orig_path.size, dtype=np.uint8) - new_path[:prefix.size] = prefix - new_path[prefix.size:] = orig_path + new_path[: prefix.size] = prefix + new_path[prefix.size :] = orig_path if is_ustar: new_prefix_b, new_name_b = split_ustar_path(new_path) @@ -274,10 +281,10 @@ def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: raise TarPatcherError( "Internal error: ustar fields don't fit for " + repr(new_path) + "." ) - hdr[:new_name_b.size] = new_name_b + hdr[: new_name_b.size] = new_name_b for i in range(new_name_b.size, 100): hdr[i] = 0 - hdr[345:345 + new_prefix_b.size] = new_prefix_b + hdr[345 : 345 + new_prefix_b.size] = new_prefix_b for i in range(345 + new_prefix_b.size, 500): hdr[i] = 0 else: @@ -286,7 +293,7 @@ def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: raise TarPatcherError( "Internal error: legacy name too long for " + repr(new_path) + "." ) - hdr[0:new_name_b.size] = new_name_b + hdr[0 : new_name_b.size] = new_name_b for i in range(new_name_b.size, 100): hdr[i] = 0 @@ -296,7 +303,6 @@ def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: return True, size_val - @njit def _nb_evaluate_pax_header( raw_data: np.ndarray, @@ -304,7 +310,7 @@ def _nb_evaluate_pax_header( size_val: int, ) -> None: blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE - data = raw_data[position:position + blocks] + data = raw_data[position : position + blocks] if data.size < blocks: raise TarPatcherError("Truncated PAX extended header data.") records = pax_parse(data[:size_val]) @@ -321,25 +327,25 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, position = nb.int64(0) total = raw_data.size while True: - header = raw_data[position:position + BLOCK_SIZE].copy() + header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: raise TarPatcherError("Unexpected EOF while reading header.") - + if _nb_is_zero_block(header): break - + size_val = _nb_parse_size(header[124:136]) typeflag = header[156] # ord(b"L") = 76, ord(b"K") = 75 if typeflag == 76 or typeflag == 75: - raise TarPatcherError( - "Unexpected GNU longname/longlink encountered during patch." - ) + raise TarPatcherError("Unexpected GNU longname/longlink encountered during patch.") # ord("L") = 76, ord("K") = 75 if typeflag in (76, 75): - raise TarPatcherError("Found GNU longname/longlink entry; in-place rename is unsupported.") + raise TarPatcherError( + "Found GNU longname/longlink entry; in-place rename is unsupported." + ) # ord("x") = 120, ord("g") = 103 if typeflag in (120, 103): @@ -348,8 +354,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, full_path, is_ustar = _nb_extract_full_path(header) new_path = np.empty(prefix_bytes.size + full_path.size, dtype=np.uint8) - new_path[:prefix_bytes.size] = prefix_bytes - new_path[prefix_bytes.size:] = full_path + new_path[: prefix_bytes.size] = prefix_bytes + new_path[prefix_bytes.size :] = full_path if is_ustar: new_prefix_b, new_name_b = split_ustar_path(new_path) if new_name_b.size == 0: @@ -357,7 +363,7 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, else: if new_path.size > 100: raise TarPatcherError("New name too long for legacy header.") - + position += BLOCK_SIZE position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE @@ -367,7 +373,7 @@ def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: position = nb.int64(0) total = raw_data.size while True: - header = raw_data[position:position + BLOCK_SIZE].copy() + header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: raise TarPatcherError("Unexpected EOF while reading header.") @@ -377,7 +383,7 @@ def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: was_updated, size_val = update_header(header, prefix_bytes) if was_updated: - raw_data[position:position + BLOCK_SIZE] = header + raw_data[position : position + BLOCK_SIZE] = header position += BLOCK_SIZE position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE @@ -404,7 +410,9 @@ class TarPatcher: def __init__(self, *, show_progress: bool = True) -> None: self._show_progress = show_progress - def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetScanResult: + def dataset_scan( + self, tar_files: Sequence[str], parent_path: EPath, num_workers: int = NUM_WORKERS + ) -> DatasetScanResult: """Scan multiple tar files, checking compatibility for in-place renaming and for duplicate sample keys. Each tar_file string must be a relative or absolute path to a tar file. @@ -441,7 +449,7 @@ def dataset_scan(self, tar_files: Sequence[str], parent_path: EPath) -> DatasetS scan_results={}, ) - max_workers = min(len(tasks), NUM_WORKERS) + max_workers = min(len(tasks), num_workers) with tqdm( total=len(tasks), @@ -481,6 +489,7 @@ def dataset_apply_prefix( self, tar_files: Sequence[str], parent_path: EPath, + num_workers: int = NUM_WORKERS, ) -> None: """Apply shard-specific prefixes to a set of tar files.""" @@ -496,7 +505,7 @@ def dataset_apply_prefix( if not tasks: return - max_workers = min(len(tasks), NUM_WORKERS) + max_workers = min(len(tasks), num_workers) with tqdm( total=len(tasks), @@ -544,7 +553,9 @@ def _evaluate_pax_header( pbar.update(blocks * BLOCK_SIZE) records = pax_parse(data[:size_val]) for key, _ in records: - if any(key.size == pax_key.size and np.all(key == pax_key) for pax_key in PAX_PATH_KEYS): + if any( + key.size == pax_key.size and np.all(key == pax_key) for pax_key in PAX_PATH_KEYS + ): result.compatible = False result.issues.append( f"PAX header contains unsupported key {key!r}; in-place rename is unsafe." @@ -569,7 +580,7 @@ def _progress(self, total: int, desc: str, disable: bool = False) -> tqdm: def _scan_tar_worker(tar_file: str, prefix: str) -> tuple[str, TarScanResult]: patcher = TarPatcher(show_progress=False) - result = patcher.scan(tar_file, prefix, progress=False) + result = patcher.scan(tar_file, prefix) return tar_file, result @@ -604,6 +615,7 @@ def main(tar_file: Path, prefix: str, dry_run: bool): * Any resulting name that doesn't fit fixed-size header fields. 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"https://files.pythonhosted.org/packages/ad/da/f64669af4cae46f17b90798a827519ce3737d31dbafad65d391e49643dc4/zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343", size = 9796 }, + { url = "https://files.pythonhosted.org/packages/ad/da/f64669af4cae46f17b90798a827519ce3737d31dbafad65d391e49643dc4/zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343", size = 9796, upload-time = "2025-05-26T14:46:30.775Z" }, ] From 1d2077a157bdf5fa8d12da9f7d107f66c87680d3 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 35/80] Finish numba implementation of tar_patcher --- .../energon/flavors/webdataset/tar_patcher.py | 137 +++++++++++++----- 1 file changed, 98 insertions(+), 39 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 30c8653e..865d1063 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -2,11 +2,12 @@ # SPDX-License-Identifier: BSD-3-Clause import concurrent.futures +import multiprocessing as mp import re from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass, field from pathlib import Path -from typing import BinaryIO, Callable, Dict, List, Sequence, Set +from typing import BinaryIO, Dict, List, Sequence, Set import click import numpy as np @@ -14,15 +15,23 @@ from megatron.energon.epathlib import EPath +# mp.set_start_method("fork") + # Try to import numba for JIT compilation of hot paths try: import numba as nb - from numba import jit, njit # type: ignore[import-not-found] + from numba import njit # type: ignore[import-not-found] HAS_NUMBA = True except ImportError: raise ImportError("numba is required for this module") +U8C = nb.types.Array(nb.types.uint8, 1, "C", readonly=False) +U8C_RO = nb.types.Array(nb.types.uint8, 1, "C", readonly=True) +INT64 = nb.types.int64 +B1 = nb.types.boolean +VOID = nb.types.void + BLOCK_SIZE = 512 NUM_WORKERS = 16 @@ -35,10 +44,8 @@ class TarPatcherError(Exception): class TarScanResult: """Result of scanning a tar archive.""" - filenames: list[bytes] = field(default_factory=list) sample_keys: Set[bytes] = field(default_factory=set) compatible: bool = True - issues: list[str] = field(default_factory=list) @dataclass(slots=True) @@ -47,7 +54,6 @@ class DatasetScanResult: compatible: bool duplicates: Dict[str, List[str]] - issues: List[str] scan_results: Dict[str, TarScanResult] @property @@ -55,7 +61,7 @@ def has_duplicates(self) -> bool: return bool(self.duplicates) -@njit(cache=True, fastmath=True, inline="always") +@njit(B1(U8C_RO), cache=True, fastmath=True, inline="always") def _nb_is_zero_block(block: bytearray | bytes) -> bool: """Numba-optimized: Check if a block is all zeros.""" for i in range(len(block)): @@ -64,7 +70,7 @@ def _nb_is_zero_block(block: bytearray | bytes) -> bool: return True -@njit(cache=True, inline="always") +@njit(INT64(U8C_RO), cache=True, inline="always") def _nb_parse_size(size: np.ndarray) -> int: # Base-256 (binary) encoding (POSIX) # # [124:136] @@ -92,7 +98,7 @@ def _nb_parse_size(size: np.ndarray) -> int: return n -@njit(cache=True, inline="always") +@njit(nb.types.Tuple((U8C_RO, U8C_RO))(U8C_RO), cache=True, inline="always") def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray | None]: """ Split path into (prefix, name) suitable for ustar: @@ -126,7 +132,7 @@ def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray | None]: return prefix_b, name_b -@njit(cache=True, fastmath=True, inline="always") +@njit(INT64(U8C_RO), cache=True, fastmath=True, inline="always") def _nb_compute_checksum(header: np.ndarray) -> int: """ Numba-optimized: Compute tar header checksum. @@ -142,7 +148,7 @@ def _nb_compute_checksum(header: np.ndarray) -> int: return total -@njit(cache=True, inline="always") +@njit(VOID(INT64, U8C), cache=True, inline="always") def _nb_format_chksum(val: int, dst: np.ndarray) -> None: dst[0] = (nb.uint8(val >> 15) & 0o7) | 0x30 dst[1] = (nb.uint8(val >> 12) & 0o7) | 0x30 @@ -154,10 +160,7 @@ def _nb_format_chksum(val: int, dst: np.ndarray) -> None: dst[7] = 32 -@njit( - cache=True, - inline="always", -) +@njit(nb.types.Tuple((U8C_RO, B1))(U8C_RO), cache=True, inline="always") def _nb_extract_full_path(hdr: np.ndarray) -> tuple[np.ndarray, bool]: for i in range(100): if hdr[i] == 0: @@ -195,7 +198,7 @@ def _nb_extract_full_path(hdr: np.ndarray) -> tuple[np.ndarray, bool]: @njit(cache=True) -def pax_parse(data: bytes) -> list[tuple[bytes, bytes]]: +def pax_parse(data: np.ndarray) -> list[tuple[np.ndarray, np.ndarray]]: """ Parse PAX extended header into list of (key, value). Format lines: "%d key=value\n". @@ -244,7 +247,7 @@ def pax_parse(data: bytes) -> list[tuple[bytes, bytes]]: return out -@njit(cache=True) +@njit(nb.types.Tuple((nb.types.boolean, INT64))(U8C, U8C_RO), cache=True) def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: """Update the header with a new path, prefixing the path with prefix. @@ -303,12 +306,20 @@ def update_header(hdr: np.ndarray, prefix: np.ndarray) -> tuple[bool, int]: return True, size_val -@njit +@njit(nb.types.boolean(U8C_RO, INT64, INT64)) def _nb_evaluate_pax_header( raw_data: np.ndarray, position: nb.int64, size_val: int, ) -> None: + PAX_PATH_KEYS = ( + np.frombuffer(b"path", dtype=np.uint8), + np.frombuffer(b"linkpath", dtype=np.uint8), + np.frombuffer(b"gnu.path", dtype=np.uint8), + np.frombuffer(b"gnu.linkpath", dtype=np.uint8), + np.frombuffer(b"SCHILY.path", dtype=np.uint8), + np.frombuffer(b"SCHILY.linkpath", dtype=np.uint8), + ) blocks = (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE data = raw_data[position : position + blocks] if data.size < blocks: @@ -317,15 +328,17 @@ def _nb_evaluate_pax_header( for key, _ in records: for pax_key in PAX_PATH_KEYS: if key.size == pax_key.size and np.all(key == pax_key): - raise TarPatcherError( - "PAX header contains unsupported key; in-place rename is unsafe." - ) + return False + return True -@njit(cache=True) -def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, str]: +@njit(nb.types.Tuple((nb.types.boolean, nb.types.ListType(U8C_RO)))(U8C_RO, U8C_RO), cache=True) +def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, list[np.ndarray]]: position = nb.int64(0) total = raw_data.size + compatible = True + sample_key_list = nb.typed.List.empty_list(U8C_RO) + while True: header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: @@ -339,36 +352,66 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, typeflag = header[156] # ord(b"L") = 76, ord(b"K") = 75 if typeflag == 76 or typeflag == 75: - raise TarPatcherError("Unexpected GNU longname/longlink encountered during patch.") - - # ord("L") = 76, ord("K") = 75 - if typeflag in (76, 75): + # "Unexpected GNU longname/longlink encountered during patch." + compatible = False + # TODO: Still parse the filename to get the sample key raise TarPatcherError( "Found GNU longname/longlink entry; in-place rename is unsupported." ) # ord("x") = 120, ord("g") = 103 if typeflag in (120, 103): - _nb_evaluate_pax_header(raw_data, position, size_val) + if not _nb_evaluate_pax_header(raw_data, position, size_val): + # "PAX header contains unsupported key; in-place rename is unsafe." + compatible = False else: full_path, is_ustar = _nb_extract_full_path(header) new_path = np.empty(prefix_bytes.size + full_path.size, dtype=np.uint8) new_path[: prefix_bytes.size] = prefix_bytes new_path[prefix_bytes.size :] = full_path + + # Apply the regex for splitting the sample key from the extension. + # Find last slash to find filename + for i in range(new_path.size - 1, -1, -1): + # ord('/') = 47 + if new_path[i] == 47: + last_path_idx = i + break + else: + last_path_idx = 0 + # Find extension (i.e. first dot after last slash) + for i in range(last_path_idx + 1, new_path.size): + # ord('.') = 46 + if new_path[i] == 46: + extension_idx = i + break + else: + extension_idx = new_path.size + sample_key = new_path[:extension_idx] + + if sample_key.size == 0: + compatible = False + else: + sample_key_list.append(sample_key) + if is_ustar: new_prefix_b, new_name_b = split_ustar_path(new_path) if new_name_b.size == 0: - raise TarPatcherError("New name too long for ustar fields.") + # "Internal error: ustar fields don't fit." + compatible = False else: if new_path.size > 100: - raise TarPatcherError("New name too long for legacy header.") + # "New name too long for legacy header." + compatible = False position += BLOCK_SIZE position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + return compatible, sample_key_list -@jit(cache=True) + +@njit(VOID(U8C, U8C_RO), cache=True) def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: position = nb.int64(0) total = raw_data.size @@ -424,7 +467,6 @@ def dataset_scan( DatasetScanResult: Result of the scan. """ - issues: List[str] = [] scan_results: Dict[str, TarScanResult] = {} # Maps from sample key to list of tar files containing it @@ -445,7 +487,6 @@ def dataset_scan( return DatasetScanResult( compatible=True, duplicates={}, - issues=[], scan_results={}, ) @@ -464,7 +505,6 @@ def dataset_scan( scan_results[tar_file] = result if not result.compatible: compatible = False - issues.extend(f"{tar_file}: {issue}" for issue in result.issues) for sample_key in result.sample_keys: duplicates.setdefault(sample_key, set()).add(tar_file) if len(duplicates[sample_key]) > 1: @@ -481,7 +521,6 @@ def dataset_scan( return DatasetScanResult( compatible=compatible, duplicates=duplicate_map, - issues=issues, scan_results=scan_results, ) @@ -519,14 +558,24 @@ def dataset_apply_prefix( future.result() dataset_pbar.update() - def scan(self, tar_path: Path | str, prefix: str) -> None: + def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: """Scan *tar_path* and evaluate compatibility for prefixing entries.""" prefix_bytes = np.frombuffer(prefix.encode("utf-8"), dtype=np.uint8) - raw_data = np.memmap(tar_path, dtype=np.uint8, mode="readwrite") + raw_data = np.memmap(tar_path, dtype=np.uint8, mode="r") + + compatible, sample_keys_list = _nb_scan_file(raw_data, prefix_bytes) - _nb_scan_file(raw_data, prefix_bytes) + # Convert numpy arrays to bytes for the set + sample_keys_set = {sample_key.tobytes() for sample_key in sample_keys_list} + if len(sample_keys_set) != len(sample_keys_list): + compatible = False + + return TarScanResult( + sample_keys=sample_keys_set, + compatible=compatible, + ) def apply_prefix( self, @@ -586,7 +635,7 @@ def _scan_tar_worker(tar_file: str, prefix: str) -> tuple[str, TarScanResult]: def _apply_prefix_worker(tar_file: str, prefix: str) -> str: patcher = TarPatcher(show_progress=False) - patcher.apply_prefix(tar_file, prefix, progress=False) + patcher.apply_prefix(tar_file, prefix) return tar_file @@ -620,15 +669,25 @@ def main(tar_file: Path, prefix: str, dry_run: bool): patcher = TarPatcher() click.echo(f"Scanning {tar_path} for in-place rename feasibility...") + orig_start_method = mp.get_start_method() + # mp.set_start_method("fork", force=True) for i in range(10): try: + print(f"Scanning {i}...") start = time.time() - patcher.scan(tar_path, prefix) + # res = patcher.scan(tar_path, prefix) + res = patcher.dataset_scan(("shard-0.tar", "audio_0.tar"), Path(".")) end = time.time() + # print(len(res.sample_keys), "keys") + print( + f"compatible: {res.compatible}, {len(res.duplicates)} duplicates: {[key for _, key in zip(range(10), res.duplicates.keys())]}" + ) print(f"Scan time: {end - start} seconds") except TarPatcherError as exc: raise click.ClickException(str(exc)) from exc + mp.set_start_method(orig_start_method, force=True) + click.echo("OK: in-place modification is possible under current rules.") if dry_run: From ac9d7754d41d03f593b34c96b0f8443c3e7d3d19 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 36/80] Improve lustre speed of tar patcher --- .../energon/flavors/webdataset/tar_patcher.py | 40 +++++++++++++++---- 1 file changed, 33 insertions(+), 7 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 865d1063..20532dea 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -339,6 +339,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, compatible = True sample_key_list = nb.typed.List.empty_list(U8C_RO) + rd_buf = np.empty(65536, dtype=np.uint8) + while True: header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: @@ -405,8 +407,13 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, # "New name too long for legacy header." compatible = False - position += BLOCK_SIZE - position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + # Dummy read + inc = BLOCK_SIZE + (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + last_block_size = inc % 65536 + for i in range(position, position + inc - last_block_size, 65536): + rd_buf[:] = raw_data[i : i + 65536] + rd_buf[:last_block_size] = raw_data[position + inc - last_block_size : position + inc] + position += inc return compatible, sample_key_list @@ -415,6 +422,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: position = nb.int64(0) total = raw_data.size + # rd_buf = np.empty(65536, dtype=np.uint8) + while True: header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: @@ -428,8 +437,12 @@ def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: if was_updated: raw_data[position : position + BLOCK_SIZE] = header - position += BLOCK_SIZE - position += (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + inc = BLOCK_SIZE + (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE + # last_block_size = inc % 65536 + # for i in range(position, position + inc - last_block_size, 65536): + # rd_buf[:] = raw_data[i:i+65536] + # rd_buf[:last_block_size] = raw_data[position + inc - last_block_size:position + inc] + position += inc # Keys that, if present in PAX, mean path info is controlled by PAX, @@ -563,7 +576,7 @@ def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: prefix_bytes = np.frombuffer(prefix.encode("utf-8"), dtype=np.uint8) - raw_data = np.memmap(tar_path, dtype=np.uint8, mode="r") + raw_data = np.memmap(tar_path, dtype=np.uint8, mode="r+") compatible, sample_keys_list = _nb_scan_file(raw_data, prefix_bytes) @@ -668,10 +681,22 @@ def main(tar_file: Path, prefix: str, dry_run: bool): tar_path = Path(tar_file) patcher = TarPatcher() + # files = ["shard-0.tar", "audio_0.tar"] + # for file in files: + # print(f"Reading {file}...") + # start = time.time() + # buf = np.memmap(file, dtype=np.uint8, mode="r") + # for i in range(0, buf.size, 65536): + # buf[i:i+65536].copy() + # # with open(file, "rb") as f: + # # f.read(65536) + # end = time.time() + # print(f"Read time: {end - start} seconds") + click.echo(f"Scanning {tar_path} for in-place rename feasibility...") orig_start_method = mp.get_start_method() # mp.set_start_method("fork", force=True) - for i in range(10): + for i in range(2): try: print(f"Scanning {i}...") start = time.time() @@ -696,7 +721,8 @@ def main(tar_file: Path, prefix: str, dry_run: bool): click.echo("Applying prefix in-place...") try: start = time.time() - patcher.apply_prefix(tar_path, prefix) + patcher.dataset_apply_prefix(("shard-0.tar", "audio_0.tar"), Path(".")) + # patcher.apply_prefix(tar_path, prefix) end = time.time() print(f"Apply time: {end - start} seconds") except TarPatcherError as exc: From 4e444ec49595cc13c47244e23f7a0f27a14ff05c Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 37/80] Fix sample key only once for a sample, not per part --- .../energon/flavors/webdataset/tar_patcher.py | 163 ++++++++++++++---- 1 file changed, 132 insertions(+), 31 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index 20532dea..f409da07 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -99,21 +99,20 @@ def _nb_parse_size(size: np.ndarray) -> int: @njit(nb.types.Tuple((U8C_RO, U8C_RO))(U8C_RO), cache=True, inline="always") -def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray | None]: +def split_ustar_path(path: np.ndarray) -> tuple[np.ndarray, np.ndarray]: """ Split path into (prefix, name) suitable for ustar: - name: up to 100 bytes - prefix: up to 155 bytes - - both UTF-8 encoded - Return (prefix_bytes, name_bytes) or (None, None) if it doesn't fit. + Return (prefix_bytes, name_bytes) or ([]], []]) if it doesn't fit. """ if len(path) <= 100: return np.empty(0, dtype=np.uint8), path # Try to split at a '/' so prefix <=155 bytes and name <=100 bytes. cut = -1 - for i, ch in enumerate(path): - if ch == 47: # ord(b"/") = 47 + for i in range(path.size): + if path[i] == 47: # ord(b"/") = 47 if i <= 155: cut = i @@ -341,6 +340,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, rd_buf = np.empty(65536, dtype=np.uint8) + last_sample_key = np.empty(0, dtype=np.uint8) + while True: header = raw_data[position : position + BLOCK_SIZE].copy() if position + BLOCK_SIZE > total: @@ -355,6 +356,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, # ord(b"L") = 76, ord(b"K") = 75 if typeflag == 76 or typeflag == 75: # "Unexpected GNU longname/longlink encountered during patch." + if compatible: + print("Found GNU longname/longlink entry") compatible = False # TODO: Still parse the filename to get the sample key raise TarPatcherError( @@ -365,6 +368,8 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, if typeflag in (120, 103): if not _nb_evaluate_pax_header(raw_data, position, size_val): # "PAX header contains unsupported key; in-place rename is unsafe." + if compatible: + print("PAX header contains unsupported key") compatible = False else: full_path, is_ustar = _nb_extract_full_path(header) @@ -375,36 +380,42 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, # Apply the regex for splitting the sample key from the extension. # Find last slash to find filename - for i in range(new_path.size - 1, -1, -1): + for i in range(full_path.size - 1, -1, -1): # ord('/') = 47 - if new_path[i] == 47: + if full_path[i] == 47: last_path_idx = i break else: last_path_idx = 0 # Find extension (i.e. first dot after last slash) - for i in range(last_path_idx + 1, new_path.size): + for i in range(last_path_idx + 1, full_path.size): # ord('.') = 46 - if new_path[i] == 46: + if full_path[i] == 46: extension_idx = i break else: - extension_idx = new_path.size - sample_key = new_path[:extension_idx] - - if sample_key.size == 0: - compatible = False - else: - sample_key_list.append(sample_key) + extension_idx = 0 + sample_key = full_path[:extension_idx] + if sample_key.size > 0: + # Next group, store the sample key + if last_sample_key.size != sample_key.size or not np.all( + last_sample_key == sample_key + ): + sample_key_list.append(sample_key) + last_sample_key = sample_key if is_ustar: new_prefix_b, new_name_b = split_ustar_path(new_path) if new_name_b.size == 0: # "Internal error: ustar fields don't fit." + if compatible: + print("Internal error: ustar fields don't fit") compatible = False else: if new_path.size > 100: # "New name too long for legacy header." + if compatible: + print("New name too long for legacy header") compatible = False # Dummy read @@ -422,7 +433,7 @@ def _nb_scan_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> tuple[bool, def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: position = nb.int64(0) total = raw_data.size - # rd_buf = np.empty(65536, dtype=np.uint8) + rd_buf = np.empty(65536, dtype=np.uint8) while True: header = raw_data[position : position + BLOCK_SIZE].copy() @@ -438,10 +449,10 @@ def _nb_process_file(raw_data: np.ndarray, prefix_bytes: np.ndarray) -> None: raw_data[position : position + BLOCK_SIZE] = header inc = BLOCK_SIZE + (size_val + BLOCK_SIZE - 1) // BLOCK_SIZE * BLOCK_SIZE - # last_block_size = inc % 65536 - # for i in range(position, position + inc - last_block_size, 65536): - # rd_buf[:] = raw_data[i:i+65536] - # rd_buf[:last_block_size] = raw_data[position + inc - last_block_size:position + inc] + last_block_size = inc % 65536 + for i in range(position, position + inc - last_block_size, 65536): + rd_buf[:] = raw_data[i : i + 65536] + rd_buf[:last_block_size] = raw_data[position + inc - last_block_size : position + inc] position += inc @@ -514,7 +525,13 @@ def dataset_scan( with ProcessPoolExecutor(max_workers=max_workers) as executor: jobs = [executor.submit(_scan_tar_worker, *task) for task in tasks] for future in concurrent.futures.as_completed(jobs): - tar_file, result = future.result() + try: + tar_file, result = future.result() + except: + import traceback + + traceback.print_exc() + raise scan_results[tar_file] = result if not result.compatible: compatible = False @@ -529,6 +546,9 @@ def dataset_scan( dataset_pbar.update() + for job in jobs: + job.cancel() + duplicate_map = {key: sorted(paths) for key, paths in duplicates.items() if len(paths) > 1} return DatasetScanResult( @@ -583,6 +603,14 @@ def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: # Convert numpy arrays to bytes for the set sample_keys_set = {sample_key.tobytes() for sample_key in sample_keys_list} if len(sample_keys_set) != len(sample_keys_list): + from collections import Counter + + print( + f"Duplicate sample keys within a single tar file: {len(sample_keys_list)} keys, {len(sample_keys_set)} unique keys" + ) + print( + f"Most common sample keys: {Counter(key.tobytes() for key in sample_keys_list).most_common(10)}" + ) compatible = False return TarScanResult( @@ -652,7 +680,82 @@ def _apply_prefix_worker(tar_file: str, prefix: str) -> str: return tar_file -@click.command() +@click.group() +def cli(): + pass + + +@cli.command() +@click.argument( + "dataset_path", + type=click.Path(exists=True, file_okay=False, path_type=Path), +) +@click.option( + "--dry-run", + is_flag=True, + help="Only check if in-place renaming is possible; don't modify the file.", +) +def run_dataset(dataset_path: Path, dry_run: bool): + """ + PREFIX all member names in all tar files in DATASET_PATH in-place, if safely possible. + + Rules: + - Allowed: + * Classic/ustar entries. + * PAX x/g entries that do NOT contain path-related keys. + - Rejected: + * Any PAX entry with path/linkpath-style keys. + * Any GNU longname/longlink (L/K). + * Any resulting name that doesn't fit fixed-size header fields. + """ + import time + + patcher = TarPatcher() + + # files = ["shard-0.tar", "audio_0.tar"] + # for file in files: + # print(f"Reading {file}...") + # start = time.time() + # buf = np.memmap(file, dtype=np.uint8, mode="r") + # for i in range(0, buf.size, 65536): + # buf[i:i+65536].copy() + # # with open(file, "rb") as f: + # # f.read(65536) + # end = time.time() + # print(f"Read time: {end - start} seconds") + + files = tuple(str(p.relative_to(dataset_path)) for p in dataset_path.rglob("*.tar")) + + click.echo(f"Scanning {dataset_path} for in-place rename feasibility...") + start = time.time() + res = patcher.dataset_scan(files, dataset_path) + end = time.time() + print(f"Scan time: {end - start} seconds") + print( + f"compatible: {res.compatible}, {len(res.duplicates)} duplicates: {[key for _, key in zip(range(10), res.duplicates.items())]}" + ) + if not res.compatible: + raise click.ClickException("In-place rename is not possible under current rules.") + if len(res.duplicates) == 0: + raise click.ClickException("No duplicates found.") + + click.echo("OK: in-place modification is possible under current rules.") + + if dry_run: + return + + click.echo("Applying prefix in-place...") + try: + start = time.time() + patcher.dataset_apply_prefix(files, dataset_path) + end = time.time() + print(f"Apply time: {end - start} seconds") + except TarPatcherError as exc: + raise click.ClickException(str(exc)) from exc + click.echo("Done. All eligible member names have been updated.") + + +@cli.command() @click.argument( "tar_file", type=click.Path(exists=True, dir_okay=False, path_type=Path), @@ -663,7 +766,7 @@ def _apply_prefix_worker(tar_file: str, prefix: str) -> str: is_flag=True, help="Only check if in-place renaming is possible; don't modify the file.", ) -def main(tar_file: Path, prefix: str, dry_run: bool): +def run_file(tar_file: Path, prefix: str, dry_run: bool): """ PREFIX all member names in TAR_FILE in-place, if safely possible. @@ -679,6 +782,7 @@ def main(tar_file: Path, prefix: str, dry_run: bool): import time tar_path = Path(tar_file) + patcher = TarPatcher() # files = ["shard-0.tar", "audio_0.tar"] @@ -700,12 +804,10 @@ def main(tar_file: Path, prefix: str, dry_run: bool): try: print(f"Scanning {i}...") start = time.time() - # res = patcher.scan(tar_path, prefix) - res = patcher.dataset_scan(("shard-0.tar", "audio_0.tar"), Path(".")) + res = patcher.scan(tar_path, prefix) end = time.time() - # print(len(res.sample_keys), "keys") print( - f"compatible: {res.compatible}, {len(res.duplicates)} duplicates: {[key for _, key in zip(range(10), res.duplicates.keys())]}" + f"compatible: {res.compatible}, {len(res.sample_keys)} keys, keys: {[key for _, key in zip(range(10), res.sample_keys)]}" ) print(f"Scan time: {end - start} seconds") except TarPatcherError as exc: @@ -721,8 +823,7 @@ def main(tar_file: Path, prefix: str, dry_run: bool): click.echo("Applying prefix in-place...") try: start = time.time() - patcher.dataset_apply_prefix(("shard-0.tar", "audio_0.tar"), Path(".")) - # patcher.apply_prefix(tar_path, prefix) + patcher.apply_prefix(tar_path, prefix) end = time.time() print(f"Apply time: {end - start} seconds") except TarPatcherError as exc: @@ -731,4 +832,4 @@ def main(tar_file: Path, prefix: str, dry_run: bool): if __name__ == "__main__": - main() + cli() From c1aa086002aaaf639438654aa06b8ace4d7f9bf6 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 38/80] Add constants --- src/megatron/energon/cache/file_store.py | 4 ++-- .../energon/flavors/webdataset/config.py | 5 ++++ .../energon/flavors/webdataset/itar_reader.py | 8 +++++-- .../energon/flavors/webdataset/metadata.py | 15 ++++++++---- .../energon/flavors/webdataset/prepare.py | 24 ++++++++++++------- .../energon/media/filesystem_prepare.py | 4 ++-- .../metadataset/join_dataset_loader.py | 10 +++++--- .../energon/metadataset/metadataset_v2.py | 4 ++-- 8 files changed, 50 insertions(+), 24 deletions(-) diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index b4d59881..f9a59068 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -7,7 +7,7 @@ from megatron.energon.cache.base import FileStore, FileStoreDecoder from megatron.energon.epathlib import EPath from megatron.energon.flavors.jsonl.ijsonl_reader import IJsonlReader -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.itar_reader import SqliteITarEntryReader from megatron.energon.flavors.webdataset.thread_local_sqlite import ThreadLocalSqlite from megatron.energon.local_copy import ensure_local_copy @@ -109,7 +109,7 @@ def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: def _ensure_media_metadata_reader(self) -> ThreadLocalSqlite: assert self.base_dir is not None if self._media_metadata_reader is None: - sqlite_path = self.base_dir / MAIN_FOLDER_NAME / "index.sqlite" + sqlite_path = self.base_dir / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME if not sqlite_path.is_file(): raise RuntimeError( diff --git a/src/megatron/energon/flavors/webdataset/config.py b/src/megatron/energon/flavors/webdataset/config.py index 30d56f90..f1057d6e 100644 --- a/src/megatron/energon/flavors/webdataset/config.py +++ b/src/megatron/energon/flavors/webdataset/config.py @@ -7,3 +7,8 @@ skip_meta_re = re.compile(r"__[^/]*__($|/)") MAIN_FOLDER_NAME = ".nv-meta" JOIN_INDEX_FILENAME = "join_index.bin" +INDEX_SQLITE_FILENAME = "index.sqlite" +INDEX_UUID_FILENAME = "index.uuid" +INFO_JSON_FILENAME = ".info.json" +INFO_YAML_FILENAME = ".info.yaml" +SPLIT_YAML_FILENAME = "split.yaml" diff --git a/src/megatron/energon/flavors/webdataset/itar_reader.py b/src/megatron/energon/flavors/webdataset/itar_reader.py index deb95352..5f5b9e08 100644 --- a/src/megatron/energon/flavors/webdataset/itar_reader.py +++ b/src/megatron/energon/flavors/webdataset/itar_reader.py @@ -17,7 +17,11 @@ ) from megatron.energon.epathlib import EPath -from megatron.energon.flavors.webdataset.config import skip_meta_re, split_name_re +from megatron.energon.flavors.webdataset.config import ( + INDEX_SQLITE_FILENAME, + skip_meta_re, + split_name_re, +) from megatron.energon.flavors.webdataset.indexing import JoinIndexReader, SqliteIndexReader from megatron.energon.flavors.webdataset.itar import ( CachedItarOffsetReader, @@ -465,7 +469,7 @@ def __init__( tar_filepaths = [base_path / fn for fn in tar_filenames] # Initialize the SQLite reader - sqlite_path = base_path / MAIN_FOLDER_NAME / "index.sqlite" + sqlite_path = base_path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME self.sqlite_reader = SqliteIndexReader(sqlite_path) self.db_has_sample_parts = self.sqlite_reader.db_has_sample_parts() diff --git a/src/megatron/energon/flavors/webdataset/metadata.py b/src/megatron/energon/flavors/webdataset/metadata.py index 8af6364f..1b2d3694 100644 --- a/src/megatron/energon/flavors/webdataset/metadata.py +++ b/src/megatron/energon/flavors/webdataset/metadata.py @@ -10,7 +10,12 @@ from megatron.energon.edataclass import edataclass from megatron.energon.epathlib import EPath from megatron.energon.eyaml import load_yaml, load_yaml_json -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import ( + INDEX_SQLITE_FILENAME, + INFO_JSON_FILENAME, + INFO_YAML_FILENAME, + MAIN_FOLDER_NAME, +) from megatron.energon.flavors.webdataset.empty_dataset_error import EmptyDatasetError from megatron.energon.flavors.webdataset.structs import ( ShardInfo, @@ -121,7 +126,7 @@ def get_dataset_info(path: EPath) -> dict: return the dataset info as a dict. """ - info_config = path / MAIN_FOLDER_NAME / ".info.json" + info_config = path / MAIN_FOLDER_NAME / INFO_JSON_FILENAME # YAML for backwards compatibility yaml_info_config = path / MAIN_FOLDER_NAME / ".info.yaml" @@ -138,8 +143,8 @@ def check_dataset_info_present(path: EPath) -> bool: """Given the path to an energon webdataset that contains a .nv-meta folder, return True if the dataset info is present, False otherwise. """ - return (path / MAIN_FOLDER_NAME / ".info.json").is_file() or ( - path / MAIN_FOLDER_NAME / ".info.yaml" + return (path / MAIN_FOLDER_NAME / INFO_JSON_FILENAME).is_file() or ( + path / MAIN_FOLDER_NAME / INFO_YAML_FILENAME ).is_file() @@ -152,7 +157,7 @@ def get_dataset_type(path: EPath) -> EnergonDatasetType: Returns: The type of the dataset. """ - metadata_db = path / MAIN_FOLDER_NAME / "index.sqlite" + metadata_db = path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME if path.is_file(): if path.name.endswith(".jsonl"): diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index 558a76a3..c63f9901 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -35,7 +35,15 @@ from megatron.energon.epathlib import EPath from megatron.energon.eyaml import load_yaml from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool, BaseAggregator -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME, skip_meta_re, split_name_re +from megatron.energon.flavors.webdataset.config import ( + INDEX_SQLITE_FILENAME, + INDEX_UUID_FILENAME, + INFO_JSON_FILENAME, + INFO_YAML_FILENAME, + MAIN_FOLDER_NAME, + skip_meta_re, + split_name_re, +) from megatron.energon.flavors.webdataset.indexing import ( DuplicateSampleKeyError, SqliteIndexWriter, @@ -526,7 +534,7 @@ def prepare_dataset( print("No duplicate keys found, continuing.") aggregator = SqliteIndexWriterAggregator( - parent_path / MAIN_FOLDER_NAME / "index.sqlite", + parent_path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME, total_tasks=len(paths), progress_fn=progress_fn, enable_media_metadata=media_filter is not None, @@ -562,18 +570,18 @@ def prepare_dataset( "put each file in a subfolder with the shard name like `shard_0/filename.ext`." ) - if (parent_path / MAIN_FOLDER_NAME / "index.sqlite").is_file(): - (parent_path / MAIN_FOLDER_NAME / "index.sqlite").unlink() + if (parent_path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME).is_file(): + (parent_path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME).unlink() sys.exit(1) if had_update: logger.info("Regenerating dataset UUID...") - with (parent_path / MAIN_FOLDER_NAME / "index.uuid").open("w") as f: + with (parent_path / MAIN_FOLDER_NAME / INDEX_UUID_FILENAME).open("w") as f: f.write(str(uuid.uuid4())) - json_info_config = parent_path / MAIN_FOLDER_NAME / ".info.json" - yaml_info_config = parent_path / MAIN_FOLDER_NAME / ".info.yaml" + json_info_config = parent_path / MAIN_FOLDER_NAME / INFO_JSON_FILENAME + yaml_info_config = parent_path / MAIN_FOLDER_NAME / INFO_YAML_FILENAME if tar_index_only: if yaml_info_config.is_file() and not json_info_config.is_file(): @@ -689,7 +697,7 @@ def add_media_metadata( raise ValueError(f"Shard '{path}' not present in dataset metadata") aggregator = SqliteIndexWriterAggregator( - parent_path / MAIN_FOLDER_NAME / "index.sqlite", + parent_path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME, total_tasks=len(expanded_paths), progress_fn=progress_fn, enable_sample_tables=False, diff --git a/src/megatron/energon/media/filesystem_prepare.py b/src/megatron/energon/media/filesystem_prepare.py index cb5108d8..9d8100f4 100644 --- a/src/megatron/energon/media/filesystem_prepare.py +++ b/src/megatron/energon/media/filesystem_prepare.py @@ -10,7 +10,7 @@ from megatron.energon.epathlib import EPath from megatron.energon.flavors.webdataset.aggregator_pool import AggregatorPool -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.prepare import ( IndexAggregatable, IndexMediaMetadata, @@ -54,7 +54,7 @@ def prepare_filesystem_dataset( files = _collect_media_files(root=root, media_filter=media_filter, progress=progress) - sqlite_path = EPath(meta_dir / "index.sqlite") + sqlite_path = EPath(meta_dir / INDEX_SQLITE_FILENAME) agg_progress_fn: Callable[[Iterator[int], int], Iterator[int]] | None = None if progress: diff --git a/src/megatron/energon/metadataset/join_dataset_loader.py b/src/megatron/energon/metadataset/join_dataset_loader.py index 61eb429a..4ea1cbd4 100644 --- a/src/megatron/energon/metadataset/join_dataset_loader.py +++ b/src/megatron/energon/metadataset/join_dataset_loader.py @@ -23,7 +23,11 @@ JoinedWebdatasetFactory, Sample, ) -from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import ( + INDEX_SQLITE_FILENAME, + INDEX_UUID_FILENAME, + MAIN_FOLDER_NAME, +) from megatron.energon.flavors.webdataset.indexing import JoinIndexWriter from megatron.energon.flavors.webdataset.metadata import WebdatasetMeta from megatron.energon.flavors.webdataset.structs import DatasetSubset @@ -372,7 +376,7 @@ def _get_joined_meta(self, split_part: str) -> Tuple[EPath, List[JoinedDatasetMe for dataset in datasets: print(f" - {dataset}") - uuid_path = EPath(dataset.dataset.path) / MAIN_FOLDER_NAME / "index.uuid" + uuid_path = EPath(dataset.dataset.path) / MAIN_FOLDER_NAME / INDEX_UUID_FILENAME try: uuid = uuid_path.read_text() except FileNotFoundError: @@ -381,7 +385,7 @@ def _get_joined_meta(self, split_part: str) -> Tuple[EPath, List[JoinedDatasetMe "(with a recent version of energon). If you have already prepared the " "dataset, it should be sufficient to run prepare with --tar-index-only." ) - db_path = EPath(dataset.dataset.path) / MAIN_FOLDER_NAME / "index.sqlite" + db_path = EPath(dataset.dataset.path) / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME # Precedence for split_part is: # 1. Join dataset split part (overrides individual dataset split parts) diff --git a/src/megatron/energon/metadataset/metadataset_v2.py b/src/megatron/energon/metadataset/metadataset_v2.py index 56f3de6a..d60ae1be 100644 --- a/src/megatron/energon/metadataset/metadataset_v2.py +++ b/src/megatron/energon/metadataset/metadataset_v2.py @@ -14,7 +14,7 @@ from megatron.energon.edataclass import edataclass from megatron.energon.epathlib import EPath from megatron.energon.flavors import Sample -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.metadata import EnergonDatasetType, get_dataset_type from megatron.energon.flavors.webdataset.structs import DatasetSubset from megatron.energon.metadataset.dataset_loader import DatasetLoader @@ -42,7 +42,7 @@ def post_initialize(self, mds_path: Optional[EPath] = None) -> None: assert not self.path.is_file(), ( "Auxiliary datasets must not be metadataset, but direct dataset references" ) - assert (self.path / MAIN_FOLDER_NAME / "index.sqlite").is_file(), ( + assert (self.path / MAIN_FOLDER_NAME / INDEX_SQLITE_FILENAME).is_file(), ( "Auxiliary datasets must be prepared Energon datasets. This one does not exist or is not prepared: " + str(self.path) ) From 8eef6a22bc58f0f72aae77af4ffe3e5eef8148cf Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 39/80] Clean output --- src/megatron/energon/flavors/webdataset/tar_patcher.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/tar_patcher.py b/src/megatron/energon/flavors/webdataset/tar_patcher.py index f409da07..9cdbf681 100644 --- a/src/megatron/energon/flavors/webdataset/tar_patcher.py +++ b/src/megatron/energon/flavors/webdataset/tar_patcher.py @@ -82,7 +82,7 @@ def _nb_parse_size(size: np.ndarray) -> int: n = (n << 8) | nb.int64(size[i]) # If the sign bit is set, compute the negative value per tar spec if size[0] & 0x40: - print("negative binary size") + # print("negative binary size") return 0 return n @@ -606,7 +606,7 @@ def scan(self, tar_path: Path | str, prefix: str) -> TarScanResult: from collections import Counter print( - f"Duplicate sample keys within a single tar file: {len(sample_keys_list)} keys, {len(sample_keys_set)} unique keys" + f"Duplicate sample keys within a single tar file {tar_path}: {len(sample_keys_list)} keys, {len(sample_keys_set)} unique keys" ) print( f"Most common sample keys: {Counter(key.tobytes() for key in sample_keys_list).most_common(10)}" From a54685146ccc20900ce2f7e4dcd42ec7bf6f1201 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 40/80] Make tar patcher optional --- src/megatron/energon/flavors/webdataset/prepare.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/prepare.py b/src/megatron/energon/flavors/webdataset/prepare.py index c63f9901..c97436a5 100644 --- a/src/megatron/energon/flavors/webdataset/prepare.py +++ b/src/megatron/energon/flavors/webdataset/prepare.py @@ -51,10 +51,6 @@ from megatron.energon.flavors.webdataset.itar import TarIndexWriter from megatron.energon.flavors.webdataset.metadata import get_dataset_info from megatron.energon.flavors.webdataset.structs import ShardInfo, WebdatasetInfo, WebdatasetSplits -from megatron.energon.flavors.webdataset.tar_patcher import ( - DatasetScanResult, - TarPatcher, -) from megatron.energon.media.extractor import MediaFilterConfig from megatron.energon.media.metadata import serialize_media_metadata from megatron.energon.typed_converter import to_json_object @@ -509,8 +505,13 @@ def prepare_dataset( (parent_path / MAIN_FOLDER_NAME).mkdir(exist_ok=True) if fix_duplicates: + try: + from megatron.energon.flavors.webdataset.tar_patcher import TarPatcher + except ImportError: + print("Install energon with [tar_patcher] extra to fix duplicate keys.") + raise tar_patcher = TarPatcher(show_progress=True) - scan_result: DatasetScanResult = tar_patcher.dataset_scan( + scan_result = tar_patcher.dataset_scan( paths, parent_path=parent_path, num_workers=workers ) @@ -520,9 +521,6 @@ def prepare_dataset( print( "But the tar files are not compatible with the in-place rename, aborting." ) - print("Issues found:") - for issue in scan_result.issues: - print(f"- {issue}") sys.exit(1) print("Fixing the dataset now.") From 6cb96ff345bc12ed2dde41b64e5e9c2843537d96 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 41/80] Update the sample key to reflect the actual key within the shard (i.e. without the relative shard path). The shard path is still in the sources. Change construction of cooking: This now determins the cooker during construction and directly loads the primary if needed. primary can fetch ".ext" directly from the primary sample if needed. Tests may need adaption --- src/megatron/energon/__init__.py | 2 + src/megatron/energon/cache/__init__.py | 10 +- src/megatron/energon/cache/base.py | 29 ++++ .../energon/flavors/jsonl/ijsonl_reader.py | 2 +- .../energon/flavors/webdataset/itar_reader.py | 2 +- src/megatron/energon/task_encoder/base.py | 125 +++++++----------- src/megatron/energon/task_encoder/cooking.py | 8 +- 7 files changed, 95 insertions(+), 83 deletions(-) diff --git a/src/megatron/energon/__init__.py b/src/megatron/energon/__init__.py index cc53b45a..0d92c702 100644 --- a/src/megatron/energon/__init__.py +++ b/src/megatron/energon/__init__.py @@ -20,6 +20,7 @@ Lazy, MockLazy, NoCachePool, + PrimaryFileStore, SystemFileStore, ) from megatron.energon.edataclass import edataclass @@ -182,6 +183,7 @@ "OCRSample", "OCRWebdataset", "PackingDataset", + "PrimaryFileStore", "prepare_metadataset", "RepeatDataset", "reraise_exception", diff --git a/src/megatron/energon/cache/__init__.py b/src/megatron/energon/cache/__init__.py index 13e3ca2b..5ba07c72 100644 --- a/src/megatron/energon/cache/__init__.py +++ b/src/megatron/energon/cache/__init__.py @@ -1,7 +1,14 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -from megatron.energon.cache.base import CachePool, FileStore, FileStoreDecoder, Lazy, MockLazy +from megatron.energon.cache.base import ( + CachePool, + FileStore, + FileStoreDecoder, + Lazy, + MockLazy, + PrimaryFileStore, +) from megatron.energon.cache.file_cache_pool import FileCacheLazy, FileStoreCachePool from megatron.energon.cache.file_store import DecodeFileStore, SystemFileStore from megatron.energon.cache.no_cache import DirectLazy, NoCachePool @@ -17,5 +24,6 @@ "Lazy", "MockLazy", "NoCachePool", + "PrimaryFileStore", "SystemFileStore", ] diff --git a/src/megatron/energon/cache/base.py b/src/megatron/energon/cache/base.py index a9cbf2f7..e2a1a951 100644 --- a/src/megatron/energon/cache/base.py +++ b/src/megatron/energon/cache/base.py @@ -167,3 +167,32 @@ def decode(self, fname: str, data: bytes) -> Any: The decoded field's data. """ ... + + +class PrimaryFileStore(FileStore[T]): + """Same as the FileStore, but additionally uses the current sample's key as a prefix for the key, + if the key passed to `__getitem__`, `.get` or `.get_media_metadata` starts with a '.'.""" + + _inner: FileStore[T] + + def __init__(self, inner: FileStore[T], current_key: str): + self._inner = inner + self._current_key = current_key + + def __getitem__(self, key: str) -> tuple[T, SourceInfo]: + if key.startswith("."): + key = f"{self._current_key}{key}" + return self._inner[key] + + def get(self, key: str, sample: Any = None) -> Any: + if key.startswith("."): + key = f"{self._current_key}{key}" + return self._inner.get(key, sample) + + def get_path(self) -> str: + return self._inner.get_path() + + def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + if key.startswith("."): + key = f"{self._current_key}{key}" + return self._inner.get_media_metadata(key) diff --git a/src/megatron/energon/flavors/jsonl/ijsonl_reader.py b/src/megatron/energon/flavors/jsonl/ijsonl_reader.py index f50b242c..202f1926 100644 --- a/src/megatron/energon/flavors/jsonl/ijsonl_reader.py +++ b/src/megatron/energon/flavors/jsonl/ijsonl_reader.py @@ -88,7 +88,7 @@ def _get_item_by_sample_pointer( return None return FilteredSample( - __key__=f"{self.jsonl_path.name}/{key}", + __key__=key, __shard__=self.jsonl_path.name, __restore_key__=("Webdataset", sample_pointer.index), __sources__=( diff --git a/src/megatron/energon/flavors/webdataset/itar_reader.py b/src/megatron/energon/flavors/webdataset/itar_reader.py index 5f5b9e08..0134f338 100644 --- a/src/megatron/energon/flavors/webdataset/itar_reader.py +++ b/src/megatron/energon/flavors/webdataset/itar_reader.py @@ -229,7 +229,7 @@ def _get_item_by_sample_pointer( raise ValueError(f"No valid files found in sample {sample_pointer}") return FilteredSample( - __key__=f"{shard_name}/{sample_base_name}", + __key__=sample_base_name, __shard__=self.tar_filenames[sample_pointer.tar_file_id], __restore_key__=("Webdataset", restore_index), __sources__=( diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index 8f9d271f..0091db12 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -28,6 +28,7 @@ from typing_extensions import ParamSpec from megatron.energon.cache import CachePool, DecodeFileStore, FileStore +from megatron.energon.cache.base import PrimaryFileStore from megatron.energon.edataclass import edataclass from megatron.energon.flavors import ( CrudeSample, @@ -372,47 +373,6 @@ class TaskEncoder(ABC, Generic[T_sample, T_encoded_sample, T_raw_batch, T_batch] #: The decoder to use for decoding samples. Set manually as needed to override options. decoder: Optional[SampleDecoder] = SampleDecoder() - @stateless - def cook_crude_sample( - self, - sample: Union[T_sample, CrudeSample], - get_primary_aux: Callable[[], FileStore], - **aux: FileStore, - ) -> T_sample: - """ - Cooks a crude sample. - - Args: - sample: The sample to cook. - get_primary_aux: A function that returns the (cached) primary auxiliary dataset. - **aux: The auxiliary side dishes to use for cooking. - - Returns: The cooked sample. - """ - if isinstance(sample, CrudeSample): - for cooker in self.cookers: - if cooker.is_match(sample): - assert get_stateless(cooker.cook), "Cooker must be stateless" - if not cooker.need_primary and not cooker.need_cache: - kwargs = aux - else: - kwargs: dict = {} - if cooker.need_primary: - kwargs["primary"] = get_primary_aux() - kwargs.update(aux) - if cooker.need_cache: - kwargs["cache"] = self.cache - return cooker.cook(sample, **kwargs) - - raise NotImplementedError( - "You are using crude samples but not providing a way to cook them: " - f"Sample key={sample['__key__']}, subflavors={sample['__subflavors__']}, " - f"self.cookers={self.cookers}" - ) - else: - assert isinstance(sample, Sample), "Sample must be a complete Sample or a CrudeSample" - return sample - def _is_overridden( self, bound_method: Callable[..., Any], bases: Optional[Sequence[Type[Any]]] = None ) -> bool: @@ -440,6 +400,33 @@ def _is_overridden( bases = (TaskEncoder,) return not any(getattr(base, func.__name__) is func for base in bases) + @stateless + def cook_crude_sample( + self, + sample: CrudeSample, + cooker: Cooker[CrudeSample], + aux: dict[str, FileStore], + ) -> T_sample: + """ + Cooks a crude sample. + + Args: + sample: The sample to cook. + cooker: The cooker to use. + aux: Aux datasets to use. + + Returns: The cooked sample. + """ + + assert get_stateless(cooker.cook), "Cooker must be stateless" + if cooker.need_primary or cooker.need_cache: + aux = {**aux} + if cooker.need_cache: + aux["cache"] = self.cache + if cooker.need_primary: + aux["primary"] = PrimaryFileStore(aux["primary"], current_key=sample["__key__"]) + return cooker.cook(sample, **aux) + @stateless def encode_sample( self, sample: T_sample @@ -701,46 +688,36 @@ def build_cook_crude_sample( if aux is not None and self.decoder is not None: aux = {k: DecodeFileStore(v, decoder=self.decoder) for k, v in aux.items()} - # Cache the primary auxiliary dataset for this dataset, i.e. construct it once when needed - primary_aux = None - - def _get_primary_aux(): - nonlocal primary_aux - if primary_aux is None: - try: - if aux is not None: - primary_aux = aux.get("primary") - if primary_aux is None: - primary_aux = get_primary_aux() - assert primary_aux is not None, "Primary auxiliary dataset must always exist" - if self.decoder is not None: - primary_aux = DecodeFileStore(primary_aux, decoder=self.decoder) - except Exception as e: - # Make the exception throw through for the sample being loaded - raise SystemError("Error getting primary auxiliary dataset") from e - return primary_aux - - if aux is not None: - cook_fn = functools.partial( - self.cook_crude_sample, get_primary_aux=_get_primary_aux, **aux - ) + for cooker in self.cookers: + if cooker.is_match(subflavors): + break else: - cook_fn = functools.partial(self.cook_crude_sample, get_primary_aux=_get_primary_aux) + raise ValueError(f"No cooker found for subflavors: {subflavors}") + + if cooker.need_primary and "primary" not in aux: + try: + primary_aux = get_primary_aux() + assert primary_aux is not None, "Primary auxiliary dataset must always exist" + if self.decoder is not None: + primary_aux = DecodeFileStore(primary_aux, decoder=self.decoder) + aux["primary"] = primary_aux + except Exception as e: + # Make the exception throw through for the sample being loaded + raise SystemError("Error getting primary auxiliary dataset") from e + + cook_fn = functools.partial(self.cook_crude_sample, cooker=cooker, aux=aux) return MapDataset( dataset, cook_fn, worker_config=worker_config, - stateless_map_fn=True, + stateless_map_fn=get_stateless(cook_fn), map_fn_config=dict( - cookers=[ - dict( - cook=SavableDataset._function_config(cooker.cook), - has_subflavors=cooker.has_subflavors, - ) - for cooker in self.cookers - ], - subflavors=subflavors, + cooker=dict( + cook=SavableDataset._function_config(cooker.cook), + has_subflavors=cooker.has_subflavors, + aux={k: {"_path": str(v.get_path())} for k, v in aux.items()}, + ), ), failure_tolerance=get_failure_tolerance(cook_fn, self.__default_failure_tolerance__), ) diff --git a/src/megatron/energon/task_encoder/cooking.py b/src/megatron/energon/task_encoder/cooking.py index 6ab394ef..23a0c9cc 100644 --- a/src/megatron/energon/task_encoder/cooking.py +++ b/src/megatron/energon/task_encoder/cooking.py @@ -7,7 +7,6 @@ from typing import Callable, Generic, Optional, TypeVar, Union, overload from megatron.energon.flavors.base_dataset import Sample -from megatron.energon.flavors.crude import CrudeSample from megatron.energon.source_info import SourceInfo T_sample = TypeVar("T_sample", bound=Sample, covariant=True) @@ -94,15 +93,12 @@ def need_primary(self) -> bool: def need_cache(self) -> bool: return get_cooker_need_cache(self.cook) - def is_match(self, crude_sample: CrudeSample) -> bool: + def is_match(self, subflavors: dict) -> bool: if self.has_subflavors is not None: # Checks if the dict entries provided as a filter all match # the ones in the sample. The sample may have additional entries. for k, v in self.has_subflavors.items(): - if ( - k not in crude_sample["__subflavors__"] - or crude_sample["__subflavors__"][k] != v - ): + if k not in subflavors or subflavors[k] != v: return False return True From 9a47fc6bf84b7259e502a223f36bb1f17bf87fbb Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 42/80] Fix imports of config constants --- src/megatron/energon/dataset_config.py | 2 +- src/megatron/energon/flavors/webdataset/__init__.py | 2 -- src/megatron/energon/metadataset/metadataset_v2.py | 2 +- src/megatron/energon/tools/info.py | 2 +- src/megatron/energon/tools/prepare.py | 2 +- src/megatron/energon/tools/preview.py | 2 +- tests/test_crudedataset.py | 2 +- tests/test_dataset.py | 2 +- tests/test_dataset_det.py | 2 +- tests/test_metadataset.py | 2 +- tests/test_metadataset_fewsamp.py | 2 +- tests/test_metadataset_v2.py | 2 +- 12 files changed, 11 insertions(+), 13 deletions(-) diff --git a/src/megatron/energon/dataset_config.py b/src/megatron/energon/dataset_config.py index 21890e88..68642af0 100644 --- a/src/megatron/energon/dataset_config.py +++ b/src/megatron/energon/dataset_config.py @@ -12,7 +12,7 @@ DefaultCrudeJsonlDatasetFactory, StandardWebdatasetFactory, ) -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.metadata import EnergonDatasetType, get_dataset_type from megatron.energon.typed_converter import JsonParser from megatron.energon.worker import WorkerConfig diff --git a/src/megatron/energon/flavors/webdataset/__init__.py b/src/megatron/energon/flavors/webdataset/__init__.py index a0de97f0..a5f8fcbd 100644 --- a/src/megatron/energon/flavors/webdataset/__init__.py +++ b/src/megatron/energon/flavors/webdataset/__init__.py @@ -29,9 +29,7 @@ "DefaultGenericWebdatasetFactory", "EmptyDatasetError", "ImageDecoderType", - "JOIN_INDEX_FILENAME", "JoinedWebdatasetFactory", - "MAIN_FOLDER_NAME", "SampleDecoder", "StandardWebdatasetFactory", "WebdatasetMeta", diff --git a/src/megatron/energon/metadataset/metadataset_v2.py b/src/megatron/energon/metadataset/metadataset_v2.py index d60ae1be..5f67837f 100644 --- a/src/megatron/energon/metadataset/metadataset_v2.py +++ b/src/megatron/energon/metadataset/metadataset_v2.py @@ -14,7 +14,7 @@ from megatron.energon.edataclass import edataclass from megatron.energon.epathlib import EPath from megatron.energon.flavors import Sample -from megatron.energon.flavors.webdataset import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.metadata import EnergonDatasetType, get_dataset_type from megatron.energon.flavors.webdataset.structs import DatasetSubset from megatron.energon.metadataset.dataset_loader import DatasetLoader diff --git a/src/megatron/energon/tools/info.py b/src/megatron/energon/tools/info.py index eb1eef6f..22e7c8c7 100644 --- a/src/megatron/energon/tools/info.py +++ b/src/megatron/energon/tools/info.py @@ -11,7 +11,7 @@ from megatron.energon.epathlib import EPath from megatron.energon.eyaml import load_yaml, load_yaml_json from megatron.energon.flavors.base_dataset import BaseCoreDatasetFactory -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.metadata import get_dataset_info fmt = """ diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 4d6fb62a..aeac5cda 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -19,7 +19,7 @@ CrudeWebdataset, Sample, ) -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.metadata import ( EnergonDatasetType, check_dataset_info_present, diff --git a/src/megatron/energon/tools/preview.py b/src/megatron/energon/tools/preview.py index f1d449b9..92c0a918 100644 --- a/src/megatron/energon/tools/preview.py +++ b/src/megatron/energon/tools/preview.py @@ -12,7 +12,7 @@ from megatron.energon import Sample, StandardWebdatasetFactory from megatron.energon.dataset_config import load_config from megatron.energon.epathlib import EPath -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.empty_dataset_error import EmptyDatasetError from megatron.energon.loader import get_loader from megatron.energon.worker import WorkerConfig diff --git a/tests/test_crudedataset.py b/tests/test_crudedataset.py index 820708a3..15949c85 100644 --- a/tests/test_crudedataset.py +++ b/tests/test_crudedataset.py @@ -36,7 +36,7 @@ from megatron.energon.epathlib.epath import EPath from megatron.energon.errors import reraise_exception from megatron.energon.flavors.base_dataset import Sample -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.sample_decoder import SampleDecoder from megatron.energon.media.extractor import MediaFilterConfig, MediaFilterStrategy from megatron.energon.media.filesystem_prepare import prepare_filesystem_dataset diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 79fdf76e..13579023 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -48,7 +48,7 @@ from megatron.energon.dataset_config import get_dataset_from_config from megatron.energon.edataclass import edataclass from megatron.energon.flavors import BaseWebdatasetFactory -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.task_encoder.base import stateless from megatron.energon.tools.analyze_debug import command as analyze_debug_command from megatron.energon.tools.info import command as info_command diff --git a/tests/test_dataset_det.py b/tests/test_dataset_det.py index 92919b0a..9f5b9ca1 100644 --- a/tests/test_dataset_det.py +++ b/tests/test_dataset_det.py @@ -26,7 +26,7 @@ get_train_dataset, ) from megatron.energon.dataset_config import get_dataset_from_config -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.loader import get_savable_loader from megatron.energon.task_encoder.base import stateless from megatron.energon.tools.checkpoint import command_redist diff --git a/tests/test_metadataset.py b/tests/test_metadataset.py index d3d1b182..4126a295 100644 --- a/tests/test_metadataset.py +++ b/tests/test_metadataset.py @@ -26,7 +26,7 @@ get_val_dataset, load_dataset, ) -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.metadataset.loader_interface import DatasetBlendMode from megatron.energon.wrappers.blend_dataset import BlendDataset diff --git a/tests/test_metadataset_fewsamp.py b/tests/test_metadataset_fewsamp.py index f1ad30c5..e8918237 100644 --- a/tests/test_metadataset_fewsamp.py +++ b/tests/test_metadataset_fewsamp.py @@ -22,7 +22,7 @@ get_savable_loader, get_train_dataset, ) -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME # Speed up tests significantly by reducing the torch status check interval for broken worker shutdown try: diff --git a/tests/test_metadataset_v2.py b/tests/test_metadataset_v2.py index 70228273..e5ff6444 100644 --- a/tests/test_metadataset_v2.py +++ b/tests/test_metadataset_v2.py @@ -29,7 +29,7 @@ ) from megatron.energon.edataclass import edataclass from megatron.energon.epathlib.epath import EPath -from megatron.energon.flavors.webdataset import MAIN_FOLDER_NAME +from megatron.energon.flavors.webdataset.config import MAIN_FOLDER_NAME from megatron.energon.metadataset.loader import prepare_metadataset from megatron.energon.metadataset.loader_interface import DatasetBlendMode from megatron.energon.task_encoder.base import DefaultTaskEncoder From 2bffa2b14b1475c05152430a12e37ac16d08f4d7 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 43/80] Add FileStore wrapper class. Fix `aux is None` case. --- src/megatron/energon/cache/base.py | 42 +++++++++++++++++-- src/megatron/energon/cache/file_cache_pool.py | 11 +---- src/megatron/energon/cache/file_store.py | 22 ++++++---- src/megatron/energon/task_encoder/base.py | 5 ++- 4 files changed, 57 insertions(+), 23 deletions(-) diff --git a/src/megatron/energon/cache/base.py b/src/megatron/energon/cache/base.py index e2a1a951..e96921a9 100644 --- a/src/megatron/energon/cache/base.py +++ b/src/megatron/energon/cache/base.py @@ -19,6 +19,16 @@ def __getitem__(self, key: str) -> tuple[T, SourceInfo]: """Returns the data for the given key.""" ... + def _get_raw(self, key: str) -> tuple[bytes, SourceInfo]: + """Returns the raw data for the given key. Without decoding. + For non-wrapped FileStores, this is the same as __getitem__.""" + return self[key] + + def _decode_raw(self, data: T, **kwargs) -> T: + """Decodes the raw data into the target type. + For non-wrapped FileStores, this is the same as identity""" + return data + def get(self, key: str, sample: Any = None) -> Any: """Returns the data for the given key and adds the source info to the sample.""" data, source_info = self[key] @@ -38,6 +48,32 @@ def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: ) +class FileStoreWrapper(FileStore[T]): + """ + A wrapper around a FileStore that can be used to add additional functionality. + Typically for decoding the data on access. + """ + + _inner: FileStore[T] + + def __init__(self, inner: FileStore[T]): + self._inner = inner + + def _get_raw(self, key: str) -> bytes: + """Returns the raw data for the given key. Without decoding.""" + return self._inner._get_raw(key) + + def _decode_raw(self, data: T, **kwargs) -> T: + """Decodes the raw data into the target type. + Args: + data: The raw data to decode. + **kwargs: Additional keyword arguments to pass to the decoder. + Returns: + The decoded data. + """ + return self._inner._decode_raw(data, **kwargs) + + @edataclass class Lazy(Generic[T]): """ @@ -169,14 +205,12 @@ def decode(self, fname: str, data: bytes) -> Any: ... -class PrimaryFileStore(FileStore[T]): +class PrimaryFileStore(FileStoreWrapper[T]): """Same as the FileStore, but additionally uses the current sample's key as a prefix for the key, if the key passed to `__getitem__`, `.get` or `.get_media_metadata` starts with a '.'.""" - _inner: FileStore[T] - def __init__(self, inner: FileStore[T], current_key: str): - self._inner = inner + super().__init__(inner) self._current_key = current_key def __getitem__(self, key: str) -> tuple[T, SourceInfo]: diff --git a/src/megatron/energon/cache/file_cache_pool.py b/src/megatron/energon/cache/file_cache_pool.py index dc909800..e075759c 100644 --- a/src/megatron/energon/cache/file_cache_pool.py +++ b/src/megatron/energon/cache/file_cache_pool.py @@ -14,7 +14,6 @@ from typing import Any, Dict, Literal, Optional, Tuple, TypeVar from megatron.energon.cache.base import CachePool, FileStore, Lazy -from megatron.energon.cache.file_store import DecodeFileStore from megatron.energon.edataclass import edataclass from megatron.energon.fork_hook import ForkMixin from megatron.energon.source_info import SourceInfo, add_source_info @@ -282,10 +281,7 @@ def _cache_out_task(self, ds: FileStore, fname: str, entry: _PendingTask) -> boo # Perform the data read if self.method == "raw": - if isinstance(ds, DecodeFileStore): - data, entry.source_info = ds.inner_reader[fname] - else: - data, entry.source_info = ds[fname] + data, entry.source_info = ds._get_raw(fname) elif self.method == "pickle": data, entry.source_info = ds[fname] data = pickle.dumps(data) @@ -428,10 +424,7 @@ def _read_from_cache(self, entry: _PendingTask) -> tuple[Any, SourceInfo]: with open(entry.cache_path, "rb") as f: if self.method == "raw": raw = f.read() - if isinstance(entry.ds, DecodeFileStore): - return entry.ds.decoder.decode(entry.fname, raw), entry.source_info - else: - return raw, entry.source_info + return entry.ds._decode_raw(raw, fname=entry.fname), entry.source_info else: return pickle.load(f), entry.source_info diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index f9a59068..afc68959 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -4,7 +4,7 @@ import sqlite3 from typing import Any, Optional, Union -from megatron.energon.cache.base import FileStore, FileStoreDecoder +from megatron.energon.cache.base import FileStore, FileStoreDecoder, FileStoreWrapper from megatron.energon.epathlib import EPath from megatron.energon.flavors.jsonl.ijsonl_reader import IJsonlReader from megatron.energon.flavors.webdataset.config import INDEX_SQLITE_FILENAME, MAIN_FOLDER_NAME @@ -15,36 +15,40 @@ from megatron.energon.source_info import SourceInfo -class DecodeFileStore(FileStore[Any]): +class DecodeFileStore(FileStoreWrapper[Any]): """Used to wrap a FileStore and decode the data on access.""" def __init__( self, - inner_reader: FileStore[bytes], + inner: FileStore[bytes], *, decoder: FileStoreDecoder, ): """ Args: - inner_reader: The FileStore to wrap. + inner: The FileStore to wrap. decoder: The decoder to apply to every item read from the FileStore. """ - self.inner_reader = inner_reader + super().__init__(inner) self.decoder = decoder def __getitem__(self, fname: str) -> tuple[Any, SourceInfo]: - data, source_info = self.inner_reader[fname] + data, source_info = self._inner[fname] return self.decoder.decode(fname, data), source_info + def _decode_raw(self, data: bytes, **kwargs) -> Any: + fname = kwargs["fname"] + return self.decoder.decode(fname, self._inner._decode_raw(data, **kwargs)) + def get_path(self) -> str: - return self.inner_reader.get_path() + return self._inner.get_path() def __str__(self): - return f"DecodeFileStore(inner_reader={self.inner_reader}, decoder={self.decoder})" + return f"DecodeFileStore(inner={self._inner}, decoder={self.decoder})" def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: - return self.inner_reader.get_media_metadata(key) + return self._inner.get_media_metadata(key) class SystemFileStore(FileStore[bytes]): diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index 0091db12..48bd2b40 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -685,7 +685,10 @@ def build_cook_crude_sample( assert self.cookers, "No cookers registered, but got crude dataset." - if aux is not None and self.decoder is not None: + if aux is None: + aux = {} + + if self.decoder is not None: aux = {k: DecodeFileStore(v, decoder=self.decoder) for k, v in aux.items()} for cooker in self.cookers: From c69b2b0038b6d6eb4b6c05d037ba838a4e2ecde4 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 44/80] Infer statelessness from inner cooking method --- src/megatron/energon/task_encoder/base.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/megatron/energon/task_encoder/base.py b/src/megatron/energon/task_encoder/base.py index 48bd2b40..5335d018 100644 --- a/src/megatron/energon/task_encoder/base.py +++ b/src/megatron/energon/task_encoder/base.py @@ -714,7 +714,7 @@ def build_cook_crude_sample( dataset, cook_fn, worker_config=worker_config, - stateless_map_fn=get_stateless(cook_fn), + stateless_map_fn=get_stateless(self.cook_crude_sample), map_fn_config=dict( cooker=dict( cook=SavableDataset._function_config(cooker.cook), From c9cc494ceb68f45cdeb3dda3ecc52b3d9c1c8178 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 45/80] Ruff --- src/megatron/energon/flavors/webdataset/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/megatron/energon/flavors/webdataset/__init__.py b/src/megatron/energon/flavors/webdataset/__init__.py index a5f8fcbd..464528cc 100644 --- a/src/megatron/energon/flavors/webdataset/__init__.py +++ b/src/megatron/energon/flavors/webdataset/__init__.py @@ -3,7 +3,6 @@ from megatron.energon.av import AVData, AVDecoder from megatron.energon.flavors.webdataset.base_webdataset import BaseWebdatasetFactory -from megatron.energon.flavors.webdataset.config import JOIN_INDEX_FILENAME, MAIN_FOLDER_NAME from megatron.energon.flavors.webdataset.default_decoder_webdataset import ( DefaultDecoderWebdatasetFactory, ) From c6fe8fcdae512e56ce36e77aa09dc3667f943125 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 46/80] Fix keys in test --- tests/test_dataset_det.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/tests/test_dataset_det.py b/tests/test_dataset_det.py index 9f5b9ca1..15650307 100644 --- a/tests/test_dataset_det.py +++ b/tests/test_dataset_det.py @@ -170,21 +170,21 @@ def test_split_parts(self): all_keys = [sample.__key__ for sample in dl] assert all_keys == [ - "parts/data-4.tar/000011", # Shard 4 first - "parts/data-4.tar/000012", - "parts/data-4.tar/000013", - "parts/data-4.tar/000014", - "parts/data-4.tar/000015", - "parts/data-4.tar/000016", - "parts/data-4.tar/000017", - "parts/data-4.tar/000018", - "parts/data-4.tar/000019", - "parts/data-4.tar/000020", - "parts/data-0.tar/000000", # Shard 0 - "parts/data-0.tar/000001", - "parts/data-2.tar/000004", # Shard 2 - "parts/data-2.tar/000005", - "parts/data-2.tar/000006", + "000011", # Shard 4 first + "000012", + "000013", + "000014", + "000015", + "000016", + "000017", + "000018", + "000019", + "000020", + "000000", # Shard 0 + "000001", + "000004", # Shard 2 + "000005", + "000006", ] def test_text_dataset(self): From a51184e0aadb3e18b2a69bcd2cff7fcf6fe1e418 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 47/80] Fix tests --- tests/test_dataset.py | 16 ++++++---------- tests/test_file_cache_pool.py | 6 +++--- 2 files changed, 9 insertions(+), 13 deletions(-) diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 13579023..4c5992d0 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -435,9 +435,7 @@ def test_sample_loader_key(self): sample_type=CaptioningSample, ) captions = set(sample["caption"] for sample in self.samples) - keys = set( - f"parts/data-{idx // 30:d}.tar/{idx:06d}" for idx in range(len(self.samples)) - ) + keys = set(f"{idx:06d}" for idx in range(len(self.samples))) for sample in get_loader(ds.build()): assert sample.caption[:4] == "" captions.remove(sample.caption[4:]) @@ -456,9 +454,7 @@ def test_exclusion(self): ) keys = [entry.__key__ for entry in get_loader(ds.build())] - assert keys == [ - f"parts/data-1.tar/{i:06d}" for i in list(range(30, 35)) + list(range(40, 50)) - ], keys + assert keys == [f"{i:06d}" for i in list(range(30, 35)) + list(range(40, 50))], keys def test_loader(self): torch.manual_seed(42) @@ -520,8 +516,8 @@ def hist(data): assert len(loader2) == 5 # The order in the split is shuffled this way assert list(key for batch in loader2 for key in batch.__key__) == [ - f"parts/data-1.tar/{i:06d}" for i in range(30, 50) - ] + [f"parts/data-0.tar/{i:06d}" for i in range(30)] + f"{i:06d}" for i in range(30, 50) + ] + [f"{i:06d}" for i in range(30)] def test_default_dataset(self): torch.manual_seed(42) @@ -1571,7 +1567,7 @@ class GroupingTaskEncoder( ): @stateless def encode_sample(self, sample: CaptioningSample) -> CaptioningSample: - sample.caption = sample.__key__.split("/")[-2] + sample.caption = sample.__sources__[0].shard_name.split("/")[-1] return sample def batch_group_criterion(self, sample: CaptioningSample) -> Tuple[Hashable, int]: @@ -1756,7 +1752,7 @@ def test_preview_captioning_dataset(self): catch_exceptions=False, ) # First sample! - assert "__key__ (): 'parts/data-1.tar/000030'" in result.stdout + assert "__key__ (): '000030'" in result.stdout assert result.exit_code == 0, "Preview failed, see output" def test_info_captioning_dataset(self): diff --git a/tests/test_file_cache_pool.py b/tests/test_file_cache_pool.py index 08beb35b..5f835987 100644 --- a/tests/test_file_cache_pool.py +++ b/tests/test_file_cache_pool.py @@ -65,8 +65,8 @@ def test_get_method(self): ) mock_decode_file_store = DecodeFileStore( + inner=mock_raw_file_store, decoder=MockDecoder(), - inner_reader=mock_raw_file_store, ) pool = FileStoreCachePool(parent_cache_dir=self.temp_path) try: @@ -530,8 +530,8 @@ def test_raw_method(self): } ) mock_decode_file_store = DecodeFileStore( + inner=mock_raw_file_store, decoder=MockDecoder(), - inner_reader=mock_raw_file_store, ) try: # Request lazy loading @@ -563,8 +563,8 @@ def test_pickle_method(self): } ) mock_decode_file_store = DecodeFileStore( + inner=mock_raw_file_store, decoder=MockDecoder(), - inner_reader=mock_raw_file_store, ) try: # Request lazy loading From 57f15dbf520bc4d3cde0bbe6e151ff37d900786a Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 18 Nov 2025 15:53:56 +0100 Subject: [PATCH 48/80] Raise if key not found for get_media_metadata --- src/megatron/energon/cache/base.py | 6 +++--- src/megatron/energon/cache/file_store.py | 14 +++++++------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/megatron/energon/cache/base.py b/src/megatron/energon/cache/base.py index e96921a9..c4bf4ec4 100644 --- a/src/megatron/energon/cache/base.py +++ b/src/megatron/energon/cache/base.py @@ -2,7 +2,7 @@ # SPDX-License-Identifier: BSD-3-Clause from abc import ABC, abstractmethod -from typing import Any, Callable, Generic, Optional, TypeVar +from typing import Any, Callable, Generic, TypeVar from megatron.energon.edataclass import edataclass from megatron.energon.media.metadata import MediaMetadataBase @@ -40,7 +40,7 @@ def get_path(self) -> str: """Returns the path to the dataset.""" ... - def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + def get_media_metadata(self, key: str) -> MediaMetadataBase: """Return the media metadata for the given key if available.""" raise NotImplementedError( @@ -226,7 +226,7 @@ def get(self, key: str, sample: Any = None) -> Any: def get_path(self) -> str: return self._inner.get_path() - def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + def get_media_metadata(self, key: str) -> MediaMetadataBase: if key.startswith("."): key = f"{self._current_key}{key}" return self._inner.get_media_metadata(key) diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index afc68959..c3ef3976 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -47,7 +47,7 @@ def get_path(self) -> str: def __str__(self): return f"DecodeFileStore(inner={self._inner}, decoder={self.decoder})" - def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + def get_media_metadata(self, key: str) -> MediaMetadataBase: return self._inner.get_media_metadata(key) @@ -90,7 +90,7 @@ def get_path(self) -> str: def __str__(self): return f"SystemFileStore(base_dir={self.base_dir})" - def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + def get_media_metadata(self, key: str) -> MediaMetadataBase: if self.base_dir is None: raise RuntimeError("Media metadata requires a base directory for SystemFileStore") @@ -102,11 +102,11 @@ def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: if row is None: file_path = self.base_dir / key if file_path.is_file(): - raise RuntimeError( + raise KeyError( f"Media metadata missing for {key}. " - "Run `energon prepare --media-metadata` to generate it." + "Run `energon prepare --media-metadata` to regenerate it." ) - return None + raise KeyError(f"File {file_path} not found") metadata_type, metadata_json = row return deserialize_media_metadata(metadata_type, metadata_json) @@ -154,7 +154,7 @@ def __init__( def get_path(self) -> str: return str(self.base_path) - def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: + def get_media_metadata(self, key: str) -> MediaMetadataBase: if self._media_metadata_available is None: try: has_metadata = self.sqlite_reader.db_has_media_metadata() @@ -179,7 +179,7 @@ def get_media_metadata(self, key: str) -> Optional[MediaMetadataBase]: ) from exc if row is None: - return None + raise KeyError(f"Sample {key!r} not found") metadata_type, metadata_json = row return deserialize_media_metadata(metadata_type, metadata_json) From 8c7621e2007d0b3b4d4db561fd7eebb3b6632025 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 08:15:55 -0800 Subject: [PATCH 49/80] Started with docs --- docs/source/basic/data_prep.md | 55 ++++++++++++++++++++++++++++++---- 1 file changed, 50 insertions(+), 5 deletions(-) diff --git a/docs/source/basic/data_prep.md b/docs/source/basic/data_prep.md index a0fc1c97..91164934 100644 --- a/docs/source/basic/data_prep.md +++ b/docs/source/basic/data_prep.md @@ -16,14 +16,13 @@ Depending on what your data looks like and how you are planning to use it, you w **Monolithic Dataset vs. Polylithic (primary and auxiliary) Datasets** -You can include the media (images/video/audio) inside the same webdataset along with the text and metadata of each sample. +You can include the media (images/video/audio) inside the same webdataset along with the text-based data of each sample (such as labels, captions, etc.). Or you can keep the media separate (either in another indexed webdataset or as individual files on disk). When using JSONL, the media will always be separate, so JSONL datasets are always polylithic unless they are text-only. -If you can, you should go for the monolithic option, because it's faster to load. -However, there are a few reasons why the other option may be needed: +The monolithic option is faster to load. However, there are a few reasons why the other option may be preferable: -* You need to keep the original media and you don't want to duplicate it +* You need to keep the original media files and you don't want to duplicate them in the tar files * Your media data is very large (e.g. long videos) and you need to keep your primary dataset small (containing just the text-based data and meta information) * You want to re-use the same media with different labels or you want to train on different subsets * You want to train with [online packing](../advanced/packing.md) and can't fit all the media of the packing buffer in memory. With polylithic datasets you can use caching to avoid that issue. @@ -63,13 +62,14 @@ These are the typical steps to get your data ready: (polylithic-dataset)= ## Steps to Create a Polylithic Dataset -1. Create the primary [WebDataset](https://github.com/webdataset/webdataset) or JSONL file from your text-based part of the data (meta information, labels, sizes etc.) +1. Create the primary [WebDataset](https://github.com/webdataset/webdataset) or JSONL file from your text-based part of the data (meta information, labels etc.) * Include the file names (don't use absolute paths) of the media that belongs to each sample (e.g. as strings inside a json entry) 2. Create the auxiliary dataset(s). Can be multiple datasets, e.g. one per modality. * Either as a folder on disk with all the media files inside * Or as another WebDataset that contains just the media files (with the exact same names) 3. Run our preparation tool `energon prepare` **on both datasets** (yes also on the JSONL) to convert to an energon-compatible format * Configure both datasets as `CrudeWebdataset` (JSONL always is by default) + * For the auxiliary datasets, we recommend to enable the [media metadata feature](media-metadata) to store additional information about the media (like image size, resolution, video duration etc.) 4. Create a [metadataset](../basic/metadataset) that specifies what auxiliary data to load for each primary dataset * For more details read about [crude data](crude-data) @@ -211,6 +211,51 @@ The command will * Ask you how to decode the data if not using crude data (field map or sample_loader.py) * Store all this information in a subfolder `.nv-meta/`, see details [below](data-on-disk). +(media-metadata)= +### Media Metadata + +If you are preparing a dataset with media files, energon can retrieve and store additional information about the media (like image size, resolution, video duration etc.). +This information will be stored inside an SQLite database file next to the dataset. +Later, inside the [cooker](crude-data), you can access this information using the {py:meth}`get_media_metadata ` method of the {py:class}`FileStore `. + +#### During normal initial preparaion of a WebDataset + +```sh +> energon prepare --media-metadata --media-by-extension /path/to/dataset +``` + +#### Adding media metadata to an existing dataset +```sh +> energon prepare-media --media-by-extension /path/to/dataset +``` + +```{admonition} Good to know +:class: tip +That also works for filesystem datasets. I.e. you can run `energon prepare-media` on a normal folder with media files and it will create the media metadata database file next to the dataset. +``` + +#### Customizing the selection of media files + +You can customize the selection of media files by using the `--media-by-glob`, `--media-by-header` and `--media-by-extension` options. +You must specify exactly one of the options. + +To select all media files with the extensions `.jpg`, `.png` and `.webp`, you can use the following command: +```sh +> energon prepare --media-metadata --media-by-glob '*.jpg,*.png,*.webp' /path/to/dataset +``` + +To select media files by reading their contents/header, you can use the `--media-by-header` option. +```sh +> energon prepare --media-metadata --media-by-header /path/to/dataset +``` + +To select media files by our default extension list, you can use the `--media-by-extension` option. +```sh +> energon prepare --media-metadata --media-by-extension /path/to/dataset +``` + +The list can be found in the [extractor.py](https://github.com/NVIDIA/Megatron-Energon/blob/develop/src/megatron/energon/media/extractor.py) file. + ### Splitting the dataset into train/val/test The first thing that the `energon prepare` assistant will ask you, is how you want to split the data by ratios. From 88ff5bd49ac76c4e657fc179230feeca31ff37eb Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Tue, 18 Nov 2025 17:32:55 +0100 Subject: [PATCH 50/80] Typo --- docs/source/basic/data_prep.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/basic/data_prep.md b/docs/source/basic/data_prep.md index 91164934..c7aafb40 100644 --- a/docs/source/basic/data_prep.md +++ b/docs/source/basic/data_prep.md @@ -218,7 +218,7 @@ If you are preparing a dataset with media files, energon can retrieve and store This information will be stored inside an SQLite database file next to the dataset. Later, inside the [cooker](crude-data), you can access this information using the {py:meth}`get_media_metadata ` method of the {py:class}`FileStore `. -#### During normal initial preparaion of a WebDataset +#### During normal initial preparation of a WebDataset ```sh > energon prepare --media-metadata --media-by-extension /path/to/dataset From 6c6e96477c389f0738c566ce9e66c0e0602b64d2 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 12:08:09 +0100 Subject: [PATCH 51/80] Add more docs for media metadata --- docs/source/advanced/crude_datasets.md | 55 ++++++++++++++++++++++++++ docs/source/api/modules_data.md | 10 +++++ docs/source/basic/data_prep.md | 48 ++++++++++++++++++---- src/megatron/energon/av/__init__.py | 2 - 4 files changed, 106 insertions(+), 9 deletions(-) diff --git a/docs/source/advanced/crude_datasets.md b/docs/source/advanced/crude_datasets.md index dcb091f8..f1ada75b 100644 --- a/docs/source/advanced/crude_datasets.md +++ b/docs/source/advanced/crude_datasets.md @@ -74,6 +74,34 @@ All it does, is to forward the key, restore key and flavors from the dict to the In a real use-case you will want to do a lot more here and we recommend keeping the cook methods in separate files and importing them where you define your TaskEncoder. +### Using Media Metadata in Monolithic Datasets +If you prepared your dataset with media metadata, you can access it in the cooker using the {py:meth}`get_media_metadata ` method of the {py:class}`FileStore `. This will be faster than decoding the media files to infer the media metadata like video duration or image size. +Here we are looking at the use case for primary datasets, but for [auxiliary datasets](aux-data), this is even more beneficial. + +#### Metadata from the Primary Dataset + +```python +from megatron.energon import FileStore + +# ... + +@stateless +@cooker(need_primary=True) +def cook_media_metadata(sample: dict, primary: FileStore) -> TextSample: + """This cooker loads the media from the primary and auxiliary datasets and + returns a text sample with the metadata descriptions of each.""" + + # The `.` prefix is used to access the media metadata of the primary dataset, + # referring to a part of the current sample. + primary_media_metadata = primary.get_media_metadata(".wav") + + return TextSample( + **basic_sample_keys(sample), + text=f"This audio has duration {primary_media_metadata.audio_duration} seconds", + ) +``` + + (aux-data)= ## Auxiliary Data for Polylithic Datasets @@ -165,6 +193,33 @@ def cook_text(sample: dict, primary: FileStore, foo_bar_source: FileStore) -> Te You can then retrieve files by their names from the primary dataset. + +### Using Media Metadata in Polylithic Datasets +If you prepared your auxiliary dataset with media metadata, you can access it in the cooker using the {py:meth}`get_media_metadata ` method of the {py:class}`FileStore `. +This is much faster than reading the media files themselves to infer the media metadata like video duration or image size. +Especially, if you are working with Lazy objects, you can defer loading the media files entirely until you actually need them. +For example in {py:meth}`postencode_sample(self, sample: T_sample) -> T_encoded_sample `, when using packing. + +```python +from megatron.energon import FileStore + +# ... + +def cook_media_metadata(sample: dict, foo_bar_source: FileStore) -> TextSample: + # Use the image filename from the primary sample to get the media metadata from the auxiliary dataset + media_metadata = foo_bar_source.get_media_metadata(sample['image']) + + return TextSample( + **basic_sample_keys(sample), + text=f"This image has size {media_metadata.width}x{media_metadata.height} and format {media_metadata.format}", + ) + +``` + +The dataclasses for metadata are {py:class}`AVMetadata ` and {py:class}`ImageMetadata `. +Click on them to see the fields and their types. + + (cache-pools)= ## Cache Pools diff --git a/docs/source/api/modules_data.md b/docs/source/api/modules_data.md index 873c9516..29510cc7 100644 --- a/docs/source/api/modules_data.md +++ b/docs/source/api/modules_data.md @@ -24,3 +24,13 @@ SPDX-License-Identifier: BSD-3-Clause --> :undoc-members: :show-inheritance: ``` + + +# megatron.energon.media + +```{eval-rst} +.. automodule:: megatron.energon.media + :members: + :undoc-members: + :show-inheritance: +``` diff --git a/docs/source/basic/data_prep.md b/docs/source/basic/data_prep.md index c7aafb40..4943dfcf 100644 --- a/docs/source/basic/data_prep.md +++ b/docs/source/basic/data_prep.md @@ -239,6 +239,13 @@ That also works for filesystem datasets. I.e. you can run `energon prepare-media You can customize the selection of media files by using the `--media-by-glob`, `--media-by-header` and `--media-by-extension` options. You must specify exactly one of the options. +To select media files by our default extension list (reocmmended), you can use the `--media-by-extension` option. +```sh +> energon prepare --media-metadata --media-by-extension /path/to/dataset +``` + +The list can be found in the [extractor.py](https://github.com/NVIDIA/Megatron-Energon/blob/develop/src/megatron/energon/media/extractor.py) file. + To select all media files with the extensions `.jpg`, `.png` and `.webp`, you can use the following command: ```sh > energon prepare --media-metadata --media-by-glob '*.jpg,*.png,*.webp' /path/to/dataset @@ -248,13 +255,8 @@ To select media files by reading their contents/header, you can use the `--media ```sh > energon prepare --media-metadata --media-by-header /path/to/dataset ``` +Note that this option may be slower than the other options, as it needs to read the contents of the files. -To select media files by our default extension list, you can use the `--media-by-extension` option. -```sh -> energon prepare --media-metadata --media-by-extension /path/to/dataset -``` - -The list can be found in the [extractor.py](https://github.com/NVIDIA/Megatron-Energon/blob/develop/src/megatron/energon/media/extractor.py) file. ### Splitting the dataset into train/val/test @@ -626,7 +628,8 @@ The order of tar files is important, as it's used by the sqlite database below. #### index.sqlite and index.uuid (read-only) The sqlite database was introduced in Energon 7 and allows for fully random access of samples and files by their names. -This is a precondition for polylithic datasets and for the [`energon mount`](energon-mount) command. +This is a precondition for [polylithic datasets](aux-data) and for the [`energon mount`](energon-mount) command. +Later, media metadata was added to the database to allow for fast access to the media metadata (audio length, image resolution etc.) of the media files. Below there is some detailed information for the interested reader. Note that the internal table structure can change in any release without notice. @@ -661,6 +664,28 @@ directly access the content without parsing the tar header. Both tables can be joined over the `tar_file_id` and the `sample_index`. Note that the `tar_file_id` refers to the list of tar files in the `.info.json` file. +Newer versions of Energon also add `media_filters` and `media_metadata` tables to the database: + +The filters table is used to store the media filters that were used to select the media files. +The media metadata will be stored *for the union* of all the media files that were selected by the filters. + +| filter_id | strategy | patterns | created_at_utc | +| --- | --- | --- | --- | +| 1 | EXTENSION | | 2025-01-01 12:00:00 | +| 2 | GLOB | \*.jpg,\*.png,\*.webp | 2025-01-01 12:00:00 | +| 3 | HEADER | | 2025-01-01 12:00:00 | +| 4 | ... | ... | ... | + + +The `media_metadata` table is used to store the media metadata for the selected media files: + +| entry_key | metadata_type | metadata_json | +| --- | --- | --- | +| 00000.jpg | image | {"width": 1024, "height": 768, "format": "jpg"} | +| 00001.wav | av | {"audio_duration": 39.0 , "audio_channels": 1, "audio_sample_rate": 16000} | +| 00002.mp4 | ... | ... | + + (data-on-disk-jsonl)= ## Dataset Format on Disk for JSONL Datasets @@ -671,3 +696,12 @@ So if your dataset is named `my_dataset.jsonl`, a new file `my_dataset.jsonl.idx That's all. The dataset type will always be `CrudeWebdataset` and the split part is `train` by default. However, when loading the dataset you can change the split type to `val` or `test`. + +(data-on-disk-filesystem)= +## Dataset Format on Disk for Filesystem Datasets + +Filesystem datasets are datasets that are stored on disk as individual files in a folder. +They are not indexed and cannot be accessed randomly. They are only used as auxiliary datasets. + +They can be used without an `.nv-meta` folder, but if you run `energon prepare-media` on them, an sqlite database file will be created inside an `.nv-meta` folder. +The database will contain just the `media_filters` and `media_metadata` tables as explained above. diff --git a/src/megatron/energon/av/__init__.py b/src/megatron/energon/av/__init__.py index 2bd70052..741970d8 100644 --- a/src/megatron/energon/av/__init__.py +++ b/src/megatron/energon/av/__init__.py @@ -4,11 +4,9 @@ from megatron.energon.av.av_data import AVData from megatron.energon.av.av_decoder import AVDecoder, AVWebdatasetDecoder from megatron.energon.av.utils import get_clips_uniform, get_single_frames_uniform -from megatron.energon.media import AVMetadata __all__ = [ "AVDecoder", - "AVMetadata", "AVWebdatasetDecoder", "AVData", "get_clips_uniform", From de741bc71eb6379408f59f5942474ef33e887b8a Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 13:33:04 +0100 Subject: [PATCH 52/80] Fix test import --- tests/test_av_decoder.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 36cd6f9e..02677855 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -17,7 +17,8 @@ import torch import torchvision.transforms as transforms -from megatron.energon.av import AVDecoder, AVMetadata, get_clips_uniform, get_single_frames_uniform +from megatron.energon.av import AVDecoder, get_clips_uniform, get_single_frames_uniform +from megatron.energon.media import AVMetadata # Set multiprocessing start method to 'spawn' on macOS to avoid DataLoader cleanup issues if sys.platform == "darwin": From 8e9fa47462955ef521f50d24e854246656b177b8 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 13:44:55 +0100 Subject: [PATCH 53/80] Add prog data prep docs --- docs/source/advanced/data_prep_api.md | 67 +++++++++++++++++++++++++++ docs/source/index.md | 1 + 2 files changed, 68 insertions(+) create mode 100644 docs/source/advanced/data_prep_api.md diff --git a/docs/source/advanced/data_prep_api.md b/docs/source/advanced/data_prep_api.md new file mode 100644 index 00000000..0e05ab4f --- /dev/null +++ b/docs/source/advanced/data_prep_api.md @@ -0,0 +1,67 @@ +# Programmatic Data Preparation + +Below, we provide an example function that shows how to prepare a dataset programmatically. + +```python +from megatron.energon.flavors import BaseWebdatasetFactory + +def prepare_one_dataset(path: Path, num_workers: int, template_dir: Path): + + if (path / ".nv-meta" / "dataset.yaml").exists(): + print(f"Dataset {path} already prepared. Skipping.") + return + + # Fixed settings + tar_index_only = False + split_parts_ratio = [("train", 1), ("val", 0), ("test", 0)] + split_parts_patterns = None + + # Get all tar files + all_tars = list(path.glob("**/*.tar")) + list(path.glob("**/*.tgz")) + all_tars = [str(p.relative_to(path)) for p in sorted(all_tars)] + + if len(all_tars) == 0: + print("Did not find any tar files. Exiting.") + return + + print(f"Found {len(all_tars)} tar files in total. The first and last ones are:") + print(f"- {all_tars[0]}") + print(f"- {all_tars[-1]}") + + def progress_fn(els, length=None): + with click.progressbar( + els, + label="Indexing shards", + show_pos=True, + length=length, + ) as bar: + for el in bar: + yield el + + found_types, duplicates = BaseWebdatasetFactory.prepare_dataset( + path, + all_tars, + split_parts_ratio=split_parts_ratio, + split_parts_patterns=split_parts_patterns, + progress_fn=progress_fn, + tar_index_only=tar_index_only, + shuffle_seed=None, + workers=num_workers, + ) + + # Copy sample loader and dataset.yaml templates + for file in template_dir.glob("*"): + shutil.copy(file, path / ".nv-meta" / file.name) +``` + +Example usage: + +First, create a template directory with the `dataset.yaml` file, and optionally the `sample_loader.py` file. +Let's call it `template_dir`. + +Then, run the script: + +```python +if __name__ == "__main__": + prepare_one_dataset(Path("/path/to/dataset"), 16, Path("/path/to/template_dir")) +``` diff --git a/docs/source/index.md b/docs/source/index.md index 8361b009..e41831fb 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -58,6 +58,7 @@ advanced/epochized_blending advanced/custom_blending advanced/parallelism advanced/error_handling +advanced/data_prep_api ``` From c8229c95157cb984b339fd42cb5ecd09bdb3eed1 Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 13:46:54 +0100 Subject: [PATCH 54/80] Ruff --- docs/source/advanced/data_prep_api.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/source/advanced/data_prep_api.md b/docs/source/advanced/data_prep_api.md index 0e05ab4f..8768f7ea 100644 --- a/docs/source/advanced/data_prep_api.md +++ b/docs/source/advanced/data_prep_api.md @@ -1,3 +1,6 @@ + + # Programmatic Data Preparation Below, we provide an example function that shows how to prepare a dataset programmatically. From 0f2521c047450b00657eae685d5a3e5ed1f184db Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 15:47:59 +0100 Subject: [PATCH 55/80] Address review comments --- docs/source/advanced/crude_datasets.md | 8 +++++--- docs/source/basic/data_prep.md | 4 ++-- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/source/advanced/crude_datasets.md b/docs/source/advanced/crude_datasets.md index f1ada75b..18e55015 100644 --- a/docs/source/advanced/crude_datasets.md +++ b/docs/source/advanced/crude_datasets.md @@ -88,8 +88,8 @@ from megatron.energon import FileStore @stateless @cooker(need_primary=True) def cook_media_metadata(sample: dict, primary: FileStore) -> TextSample: - """This cooker loads the media from the primary and auxiliary datasets and - returns a text sample with the metadata descriptions of each.""" + """This cooker loads the media metadata for the current sample + and returns a text sample with the metadata description.""" # The `.` prefix is used to access the media metadata of the primary dataset, # referring to a part of the current sample. @@ -216,7 +216,9 @@ def cook_media_metadata(sample: dict, foo_bar_source: FileStore) -> TextSample: ``` -The dataclasses for metadata are {py:class}`AVMetadata ` and {py:class}`ImageMetadata `. +The path of the media file within the auxiliary dataset, is what needs to be passed to the `get_media_metadata` method, for example `0001.jpg` or `images/0001.jpg` if within a subfoler inside the WebDataset or filesystem dataset. + +The return value will be either {py:class}`AVMetadata ` or {py:class}`ImageMetadata `. Click on them to see the fields and their types. diff --git a/docs/source/basic/data_prep.md b/docs/source/basic/data_prep.md index 4943dfcf..1ab772ce 100644 --- a/docs/source/basic/data_prep.md +++ b/docs/source/basic/data_prep.md @@ -239,7 +239,7 @@ That also works for filesystem datasets. I.e. you can run `energon prepare-media You can customize the selection of media files by using the `--media-by-glob`, `--media-by-header` and `--media-by-extension` options. You must specify exactly one of the options. -To select media files by our default extension list (reocmmended), you can use the `--media-by-extension` option. +To select media files by our default extension list (recommended), you can use the `--media-by-extension` option. ```sh > energon prepare --media-metadata --media-by-extension /path/to/dataset ``` @@ -664,7 +664,7 @@ directly access the content without parsing the tar header. Both tables can be joined over the `tar_file_id` and the `sample_index`. Note that the `tar_file_id` refers to the list of tar files in the `.info.json` file. -Newer versions of Energon also add `media_filters` and `media_metadata` tables to the database: +Since version 8 of Energon, `media_filters` and `media_metadata` tables are added to the database: The filters table is used to store the media filters that were used to select the media files. The media metadata will be stored *for the union* of all the media files that were selected by the filters. From 7034c1ff981299491f4fedb4df6b96f7221fac3d Mon Sep 17 00:00:00 2001 From: Philipp Fischer Date: Thu, 20 Nov 2025 15:55:45 +0100 Subject: [PATCH 56/80] Simplify CLI and remove `--media-metadata` --- docs/source/basic/data_prep.md | 16 ++++---- src/megatron/energon/cache/file_store.py | 12 +++--- src/megatron/energon/tools/prepare.py | 43 ++++++++++----------- src/megatron/energon/tools/prepare_media.py | 14 +++---- 4 files changed, 42 insertions(+), 43 deletions(-) diff --git a/docs/source/basic/data_prep.md b/docs/source/basic/data_prep.md index 1ab772ce..73629696 100644 --- a/docs/source/basic/data_prep.md +++ b/docs/source/basic/data_prep.md @@ -221,12 +221,12 @@ Later, inside the [cooker](crude-data), you can access this information using th #### During normal initial preparation of a WebDataset ```sh -> energon prepare --media-metadata --media-by-extension /path/to/dataset +> energon prepare --media-metadata-by-extension /path/to/dataset ``` #### Adding media metadata to an existing dataset ```sh -> energon prepare-media --media-by-extension /path/to/dataset +> energon prepare-media --media-metadata-by-extension /path/to/dataset ``` ```{admonition} Good to know @@ -236,24 +236,24 @@ That also works for filesystem datasets. I.e. you can run `energon prepare-media #### Customizing the selection of media files -You can customize the selection of media files by using the `--media-by-glob`, `--media-by-header` and `--media-by-extension` options. +You can customize the selection of media files by using the `--media-metadata-by-glob`, `--media-metadata-by-header` and `--media-metadata-by-extension` options. You must specify exactly one of the options. -To select media files by our default extension list (recommended), you can use the `--media-by-extension` option. +To select media files by our default extension list (recommended), you can use the `--media-metadata-by-extension` option. ```sh -> energon prepare --media-metadata --media-by-extension /path/to/dataset +> energon prepare --media-metadata-by-extension /path/to/dataset ``` The list can be found in the [extractor.py](https://github.com/NVIDIA/Megatron-Energon/blob/develop/src/megatron/energon/media/extractor.py) file. To select all media files with the extensions `.jpg`, `.png` and `.webp`, you can use the following command: ```sh -> energon prepare --media-metadata --media-by-glob '*.jpg,*.png,*.webp' /path/to/dataset +> energon prepare --media-metadata-by-glob '*.jpg,*.png,*.webp' /path/to/dataset ``` -To select media files by reading their contents/header, you can use the `--media-by-header` option. +To select media files by reading their contents/header, you can use the `--media-metadata-by-header` option. ```sh -> energon prepare --media-metadata --media-by-header /path/to/dataset +> energon prepare --media-metadata-by-header /path/to/dataset ``` Note that this option may be slower than the other options, as it needs to read the contents of the files. diff --git a/src/megatron/energon/cache/file_store.py b/src/megatron/energon/cache/file_store.py index c3ef3976..556b0bdd 100644 --- a/src/megatron/energon/cache/file_store.py +++ b/src/megatron/energon/cache/file_store.py @@ -104,7 +104,7 @@ def get_media_metadata(self, key: str) -> MediaMetadataBase: if file_path.is_file(): raise KeyError( f"Media metadata missing for {key}. " - "Run `energon prepare --media-metadata` to regenerate it." + "Run `energon prepare --media-metadata-by-...` to regenerate it." ) raise KeyError(f"File {file_path} not found") metadata_type, metadata_json = row @@ -118,7 +118,7 @@ def _ensure_media_metadata_reader(self) -> ThreadLocalSqlite: if not sqlite_path.is_file(): raise RuntimeError( f"Media metadata database missing at {sqlite_path}. " - "Run `energon prepare --media-metadata` for this dataset." + "Run `energon prepare --media-metadata-by-...` for this dataset." ) local_sqlite_path = ensure_local_copy(sqlite_path) @@ -134,7 +134,7 @@ def _ensure_media_metadata_reader(self) -> ThreadLocalSqlite: self._media_metadata_reader.thread_close() self._media_metadata_reader = None raise RuntimeError( - "Media metadata table missing. Re-run `energon prepare --media-metadata`." + "Media metadata table missing. Re-run `energon prepare --media-metadata-by-...`." ) self._media_metadata_checked = True @@ -160,13 +160,13 @@ def get_media_metadata(self, key: str) -> MediaMetadataBase: has_metadata = self.sqlite_reader.db_has_media_metadata() except sqlite3.Error as exc: # pragma: no cover - defensive raise RuntimeError( - "Failed to inspect media metadata table. Re-run `energon prepare --media-metadata`." + "Failed to inspect media metadata table. Re-run `energon prepare --media-metadata-by-...`." ) from exc if not has_metadata: raise RuntimeError( "Media metadata is not available for this dataset. " - "Run `energon prepare --media-metadata` to generate it." + "Run `energon prepare --media-metadata-by-...` to generate it." ) self._media_metadata_available = True @@ -175,7 +175,7 @@ def get_media_metadata(self, key: str) -> MediaMetadataBase: row = self.sqlite_reader.get_media_metadata(key) except sqlite3.Error as exc: # pragma: no cover - defensive raise RuntimeError( - "Failed to load media metadata. Re-run `energon prepare --media-metadata`." + "Failed to load media metadata. Re-run `energon prepare --media-metadata-by-...`." ) from exc if row is None: diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index aeac5cda..bfcea5d6 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -129,22 +129,17 @@ def printify_json(data: Any) -> Any: is_flag=True, ) @click.option( - "--media-metadata", - help="Compute and store media metadata during preparation.", - is_flag=True, -) -@click.option( - "--media-by-glob", + "--media-metadata-by-glob", type=str, help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", ) @click.option( - "--media-by-header", + "--media-metadata-by-header", is_flag=True, help="Media detection by binary file header.", ) @click.option( - "--media-by-extension", + "--media-metadata-by-extension", is_flag=True, help="Media detection by standard file extensions.", ) @@ -161,10 +156,9 @@ def command( num_workers: int, tar_index_only: bool, shuffle_tars: bool, - media_metadata: bool, - media_by_glob: str | None, - media_by_header: bool, - media_by_extension: bool, + media_metadata_by_glob: str | None, + media_metadata_by_header: bool, + media_metadata_by_extension: bool, fix_duplicates: bool, ): """Prepare WebDataset for use with energon. @@ -174,31 +168,36 @@ def command( details. """ - if (media_by_glob is not None or media_by_header or media_by_extension) and not media_metadata: - raise click.UsageError("Media filters require --media-metadata") + do_media_metadata = bool( + media_metadata_by_glob is not None + or media_metadata_by_header + or media_metadata_by_extension + ) - if media_metadata and tar_index_only: - raise click.UsageError("--media-metadata cannot be combined with --tar-index-only") + if do_media_metadata and tar_index_only: + raise click.UsageError("--media-metadata-by-... cannot be combined with --tar-index-only") media_filter_config = ( - MediaFilterConfig.parse(media_by_glob, media_by_header, media_by_extension) - if media_metadata + MediaFilterConfig.parse( + media_metadata_by_glob, media_metadata_by_header, media_metadata_by_extension + ) + if do_media_metadata else None ) ds_type = get_dataset_type(path) if ds_type == EnergonDatasetType.METADATASET: - if media_metadata: + if do_media_metadata: raise click.ClickException( - "Metadatasets cannot store media metadata. Remove --media-metadata to continue." + "Metadatasets cannot store media metadata. Remove --media-metadata-by-... to continue." ) print("Preparing metadataset...") prepare_metadataset(path) return elif ds_type == EnergonDatasetType.JSONL: - if media_metadata: + if do_media_metadata: raise click.ClickException( - "JSONL datasets do not support media metadata. Remove --media-metadata to continue." + "JSONL datasets do not support media metadata. Remove --media-metadata-by-... to continue." ) print("Preparing jsonl dataset...") count = CrudeJsonlDatasetFactory.prepare_dataset(path) diff --git a/src/megatron/energon/tools/prepare_media.py b/src/megatron/energon/tools/prepare_media.py index 464bc813..bcc99bf6 100644 --- a/src/megatron/energon/tools/prepare_media.py +++ b/src/megatron/energon/tools/prepare_media.py @@ -30,17 +30,17 @@ help="Number of workers to use to scan files", ) @click.option( - "--media-by-glob", + "--media-metadata-by-glob", type=str, help="Media detection by using one or more glob patterns such as '*.jpg'. Separate multiple patterns by commas.", ) @click.option( - "--media-by-header", + "--media-metadata-by-header", is_flag=True, help="Media detection by binary file header.", ) @click.option( - "--media-by-extension", + "--media-metadata-by-extension", is_flag=True, help="Media detection by standard file extensions.", ) @@ -48,14 +48,14 @@ def command( path: EPath, progress: bool, num_workers: int, - media_by_glob: str | None, - media_by_header: bool, - media_by_extension: bool, + media_metadata_by_glob: str | None, + media_metadata_by_header: bool, + media_metadata_by_extension: bool, ): """Prepare a filesystem dataset by collecting media metadata.""" media_filter_config = MediaFilterConfig.parse( - media_by_glob, media_by_header, media_by_extension + media_metadata_by_glob, media_metadata_by_header, media_metadata_by_extension ) ds_type = get_dataset_type(path) From 5344fd804f0c08d6ffaa6360a5d35ddfc897126d Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 8 Dec 2025 07:56:52 -0800 Subject: [PATCH 57/80] Improve fastseek speed and fix time handling. Add fastseek detail tests. Make AVDecoder lazily initialize fastseek if needed. --- src/megatron/energon/av/av_decoder.py | 141 +++++++----------- src/megatron/energon/av/fastseek/__init__.py | 13 +- .../av/fastseek/containers/matroska.py | 9 +- .../energon/av/fastseek/containers/mpeg.py | 7 +- .../energon/av/fastseek/containers/probe.py | 9 +- src/megatron/energon/av/fastseek/fastseek.py | 134 ++++++++++------- .../energon/av/fastseek/keyframeinfo.py | 14 +- src/megatron/energon/av/fastseek/reader.py | 109 ++++++++++++++ tests/test_av_decoder.py | 103 +++++++++++++ 9 files changed, 370 insertions(+), 169 deletions(-) create mode 100644 src/megatron/energon/av/fastseek/reader.py diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index 7cf19e5f..f9a35e08 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -3,22 +3,24 @@ import io import warnings -from collections.abc import Iterator from fractions import Fraction from typing import BinaryIO, Literal, Optional, Sequence, Union, overload import numpy as np import torch -from megatron.energon.av.av_init import av_open - # Try importing optional dependencies try: import av import av.container import filetype - from megatron.energon.av.fastseek import Fastseek + from megatron.energon.av.fastseek.reader import ( + Fastseek, + FastseekReader, + FastseekReaderByFrames, + FastseekReaderByPts, + ) AV_DECODE_AVAILABLE = True except ImportError as e: @@ -26,6 +28,7 @@ MISSING_DEPENDENCY = str(e) from megatron.energon.av.av_data import AVData +from megatron.energon.av.av_init import av_open from megatron.energon.media import AVMetadata @@ -37,7 +40,7 @@ class AVDecoder: decoding parameters. """ - seeker: "Fastseek" + seeker: "Fastseek | None" = None stream: BinaryIO suppress_warnings: bool @@ -55,13 +58,10 @@ def __init__(self, stream: BinaryIO, suppress_warnings: bool = False) -> None: "Stream must not be opened in text mode" ) - try: + def _ensure_seeker(self) -> None: + if self.seeker is None: self.seeker = Fastseek(self.stream) - except ValueError: self.stream.seek(0) - self.seeker = Fastseek(self.stream, probe=True) - - self.stream.seek(0) def get_video(self) -> AVData: """Get the entire video data from the stream (without audio).""" @@ -83,7 +83,8 @@ def get_video_clips( """Get video clips from the video stream. Args: - video_clip_ranges: List of video clip start and end positions in the given unit (see video_unit) + video_clip_ranges: List of video clip start and end positions in the given unit (see video_unit). + The end is inclusive! For each range at least one frame is returned. video_unit: Unit of the video clip positions ("frames" for frame number, "seconds" for timestamp) video_out_frame_size: Output size for video frames (width, height), or None to use the original frame size @@ -93,6 +94,8 @@ def get_video_clips( - video_clips_timestamps: List of timestamps for each video clip start and end in seconds """ + self._ensure_seeker() + assert video_unit in ("frames", "seconds") self.stream.seek(0) # Reset the video stream so that pyav can read the entire container @@ -110,9 +113,12 @@ def get_video_clips( time_base: Fraction = video_stream.time_base # Seconds per PTS unit - if video_clip_ranges is not None: - # Convert video_clip_ranges to seeker unit - if video_unit == "frames" and self.seeker.unit == "pts": + seeker: FastseekReader + # Convert video_clip_ranges to seeker unit + if video_unit == "frames": + if self.seeker.frames_supported: + seeker = FastseekReaderByFrames(self.seeker, input_container) + else: # Convert from frames to pts units video_clip_ranges = [ ( @@ -121,103 +127,66 @@ def get_video_clips( ) for clip in video_clip_ranges ] + seeker = FastseekReaderByPts(self.seeker, input_container) + video_unit = "seconds" if not self.suppress_warnings: warnings.warn( "Video container unit is frames, but seeking in time units. The resulting frames may be slightly off.", RuntimeWarning, ) - elif video_unit == "seconds" and self.seeker.unit == "frames": - # Convert from seconds to frames - video_clip_ranges = [ - ( - clip[0] * average_rate, - clip[1] * average_rate, - ) - for clip in video_clip_ranges - ] - if not self.suppress_warnings: - warnings.warn( - "Video container unit is time units, but seeking using frame number. The resulting frames may be slightly off.", - RuntimeWarning, - ) - elif video_unit == "seconds" and self.seeker.unit == "pts": - # Convert from seconds to pts units - video_clip_ranges = [ - (clip[0] / time_base, clip[1] / time_base) for clip in video_clip_ranges - ] - - frame_iterator: Iterator[av.VideoFrame] = input_container.decode(video=0) - previous_frame_index: int = 0 + elif video_unit == "seconds": + # Convert from seconds to frames + video_clip_ranges = [ + ( + clip[0] / time_base, + clip[1] / time_base, + ) + for clip in video_clip_ranges + ] + seeker = FastseekReaderByPts(self.seeker, input_container) + else: + raise ValueError(f"Invalid video unit: {video_unit!r}") video_clips_frames: list[list[torch.Tensor]] = [] video_clips_timestamps: list[tuple[float, float]] = [] for video_clip_range in video_clip_ranges: - start_frame_index, end_frame_index = video_clip_range + range_start, range_end = video_clip_range # Convert to int if possible, set end to None if infinite - start_frame_index = int(start_frame_index) - end_frame_index = int(end_frame_index) if end_frame_index != float("inf") else None + range_start = int(range_start) + range_end = int(range_end) if range_end != float("inf") else None clip_frames: list[torch.Tensor] = [] clip_timestamp_start = None clip_timestamp_end = None - # Find start frame - if ( - iframe_info := self.seeker.should_seek(previous_frame_index, start_frame_index) - ) is not None: - input_container.seek(iframe_info.pts, stream=input_container.streams.video[0]) - previous_frame_index = iframe_info.index - - for frame in frame_iterator: - take_frame = False - last_frame = False - - # Container uses frame counts, we can find the exact target frame by counting from the iframe which is at a known offset - if self.seeker.unit == "frames": - if previous_frame_index >= start_frame_index: - take_frame = True - if end_frame_index is not None and previous_frame_index >= end_frame_index: - last_frame = True - - # Container uses time, the target frame might not correspond exactly to any metadata but the desired timestamp should - # fall within a frames display period - if self.seeker.unit == "pts": - if start_frame_index <= (frame.pts + frame.duration): - take_frame = True - if end_frame_index is not None and end_frame_index <= ( - frame.pts + frame.duration - ): - last_frame = True - - if take_frame: - if video_out_frame_size is not None: - frame = frame.reformat( - width=video_out_frame_size[0], - height=video_out_frame_size[1], - format="rgb24", - interpolation="BILINEAR", - ) - else: - frame = frame.reformat(format="rgb24") - - clip_frames.append(torch.from_numpy(frame.to_ndarray())) - if clip_timestamp_start is None: - clip_timestamp_start = float(frame.pts * frame.time_base) - - clip_timestamp_end = float((frame.pts + frame.duration) * frame.time_base) + frame = None + for frame in seeker.seek_read(range_start, range_end): + # print(f"Taking frame {frame.pts}+{frame.duration}") + if video_out_frame_size is not None: + frame = frame.reformat( + width=video_out_frame_size[0], + height=video_out_frame_size[1], + format="rgb24", + interpolation="BILINEAR", + ) + else: + frame = frame.reformat(format="rgb24") - previous_frame_index += 1 + clip_frames.append(torch.from_numpy(frame.to_ndarray())) + if clip_timestamp_start is None: + clip_timestamp_start = float(frame.pts * frame.time_base) - if last_frame: - break + if frame is not None: + clip_timestamp_end = float((frame.pts + frame.duration) * frame.time_base) if clip_timestamp_start is not None and clip_timestamp_end is not None: video_clips_frames.append(clip_frames) video_clips_timestamps.append((clip_timestamp_start, clip_timestamp_end)) + print(f"Skipped {seeker.skipped} frames") # Stack frames within each clip out_video_clips = [ torch.stack(clip_frames).permute((0, 3, 1, 2)) for clip_frames in video_clips_frames diff --git a/src/megatron/energon/av/fastseek/__init__.py b/src/megatron/energon/av/fastseek/__init__.py index d9d71f04..357a4ed6 100644 --- a/src/megatron/energon/av/fastseek/__init__.py +++ b/src/megatron/energon/av/fastseek/__init__.py @@ -1,4 +1,13 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -from .fastseek import Fastseek as Fastseek -from .keyframeinfo import KeyframeInfo as KeyframeInfo +from .fastseek import Fastseek +from .keyframeinfo import KeyframeInfo +from .reader import FastseekReader, FastseekReaderByFrames, FastseekReaderByPts + +__all__ = [ + "Fastseek", + "KeyframeInfo", + "FastseekReader", + "FastseekReaderByFrames", + "FastseekReaderByPts", +] diff --git a/src/megatron/energon/av/fastseek/containers/matroska.py b/src/megatron/energon/av/fastseek/containers/matroska.py index 3a323886..55efecd1 100644 --- a/src/megatron/energon/av/fastseek/containers/matroska.py +++ b/src/megatron/energon/av/fastseek/containers/matroska.py @@ -4,12 +4,12 @@ from bitstring.bits import BitsType from ebmlite import MasterElement, loadSchema -from sortedcontainers import SortedList from ..keyframeinfo import KeyframeInfo class CueTrackPositions: + __slots__ = "track" track: int def __init__(self, el: MasterElement) -> None: @@ -19,6 +19,7 @@ def __init__(self, el: MasterElement) -> None: class CuePoint: + __slots__ = ("time", "track_positions") time: int track_positions: CueTrackPositions @@ -30,7 +31,7 @@ def __init__(self, el: MasterElement) -> None: self.track_positions = CueTrackPositions(c) -def parse_matroska(file: BitsType) -> SortedList: +def parse_matroska(file: BitsType) -> dict[int, list[KeyframeInfo]]: try: schema = loadSchema("matroska.xml") doc = schema.load(file, headers=True) @@ -39,12 +40,12 @@ def parse_matroska(file: BitsType) -> SortedList: # Get cue times stack = [c for c in doc if c.name == "Segment"] - cues = defaultdict(SortedList) + cues = defaultdict(list) while len(stack) > 0: el = stack.pop() if el.name == "CuePoint": cue = CuePoint(el) - cues[cue.track_positions.track].add(KeyframeInfo(cue.time, cue.time)) + cues[cue.track_positions.track].append(KeyframeInfo(-1, cue.time)) elif isinstance(el, MasterElement): stack.extend([c for c in el if c.name in ["Cues", "CuePoint"]]) diff --git a/src/megatron/energon/av/fastseek/containers/mpeg.py b/src/megatron/energon/av/fastseek/containers/mpeg.py index 566c95c3..aca656e5 100644 --- a/src/megatron/energon/av/fastseek/containers/mpeg.py +++ b/src/megatron/energon/av/fastseek/containers/mpeg.py @@ -6,7 +6,6 @@ from bitstring import ConstBitStream, Error from bitstring.bits import BitsType -from sortedcontainers import SortedList from ..keyframeinfo import KeyframeInfo @@ -181,7 +180,7 @@ def parse_atoms(file: BitsType) -> Generator[Atom, None, None]: raise ValueError(f"MPEG parsing failed with error {e}") -def parse_mpeg(file: BitsType) -> dict[int, SortedList]: +def parse_mpeg(file: BitsType) -> dict[int, list[KeyframeInfo]]: sync_samples = {} decode_timestamps = {} presentation_time_offsets = {} @@ -223,7 +222,7 @@ def parse_mpeg(file: BitsType) -> dict[int, SortedList]: # TODO there can be more than one of these, figure out how to handle it a: ELST start_offsets[current_track] = -a.edit_list_table[0]["media_time"] - keyframes = defaultdict(SortedList) + keyframes = defaultdict(list) try: for track_id in sync_samples.keys(): ptos = presentation_time_offsets.get(track_id) @@ -234,7 +233,7 @@ def parse_mpeg(file: BitsType) -> dict[int, SortedList]: + start_offsets[track_id] + (0 if ptos is None else ptos[keyframe_number]) ) - keyframes[track_id].add(KeyframeInfo(keyframe_number, pts)) + keyframes[track_id].append(KeyframeInfo(keyframe_number, pts)) except (KeyError, IndexError) as e: raise ValueError(f"MPEG parsing failed with error {e}") diff --git a/src/megatron/energon/av/fastseek/containers/probe.py b/src/megatron/energon/av/fastseek/containers/probe.py index 6646b7b0..e53c2c25 100644 --- a/src/megatron/energon/av/fastseek/containers/probe.py +++ b/src/megatron/energon/av/fastseek/containers/probe.py @@ -1,8 +1,6 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -from sortedcontainers import SortedList - from ...av_init import av_open from ..keyframeinfo import KeyframeInfo @@ -11,13 +9,10 @@ def parse_probe(file): keyframes = {} with av_open(file) as input_container: for stream_idx, stream in enumerate(input_container.streams.video): - packet_pts = [ - (index, p.pts) + keyframes[stream.id] = [ + KeyframeInfo(index, p.pts) for index, p in enumerate(input_container.demux(video=stream_idx)) if p.is_keyframe ] - packet_pts.sort(key=lambda x: x[1]) - - keyframes[stream.id] = SortedList([KeyframeInfo(*p) for p in packet_pts]) return keyframes diff --git a/src/megatron/energon/av/fastseek/fastseek.py b/src/megatron/energon/av/fastseek/fastseek.py index 84b7f78e..8aa73be5 100644 --- a/src/megatron/energon/av/fastseek/fastseek.py +++ b/src/megatron/energon/av/fastseek/fastseek.py @@ -1,13 +1,12 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause -from typing import Literal, Optional +from bisect import bisect_right +from typing import Optional import filetype from bitstring.bits import BitsType -from sortedcontainers import SortedList from .containers.matroska import parse_matroska -from .containers.mpeg import parse_mpeg from .containers.probe import parse_probe from .keyframeinfo import KeyframeInfo @@ -21,32 +20,33 @@ class Fastseek: to make informed decisions about the best seeking behavior Currently supports: - - MP4/MOV: frames are indexed by number and frame counting can be used to get the exact frame - - Matroska/WebM: frames are indexed by time and inter-frame duration must be accounted for to get to the right frame + - Matroska/WebM: frames are indexed by time and inter-frame duration must be accounted for to get to the right frame. Use force_probe=True to use pyav to get frame-accurate keyframes. + - All other formats: Use pyav to find keyframes. - If your container is not listed above, pass "probe=True" to the constructor, this will use ffmpeg to parse the stream - without decoding it. Frames will be indexed by number. This is not as fast as using a supported container but is still + Frames will be indexed by number. This is not as fast as using a supported container but is still significantly faster than sequential decoding. """ - keyframes: dict[int, SortedList[KeyframeInfo]] - unit: Literal["frames", "pts"] + keyframe_pts: dict[int, list[int]] + keyframes_by_frames: dict[int, tuple[list[KeyframeInfo], list[int]]] + streams: list[int] + frames_supported: bool mime: str - def __init__(self, file: BitsType, probe: bool = False) -> None: + def __init__(self, file: BitsType, force_probe: bool = False) -> None: """Initialize the Fastseek object. Args: file: The video file data as a bitstring BitsType object. This should contain the raw bytes of the video file. - probe: If True, use ffmpeg to probe the stream without decoding. This is slower but works with any container format. + force_probe: If True, use ffmpeg to probe the stream without decoding. This is slower but works with any container format. If False (default), attempt to parse the container format directly. Only works with MP4/MOV and Matroska/WebM. Raises: ValueError: If the file type cannot be determined or if the container format is not supported (when probe=False). """ - if probe: - self.keyframes = parse_probe(file) - self.unit = "frames" + if force_probe: + keyframes = parse_probe(file) + self.frames_supported = True else: ftype = filetype.guess(file) @@ -57,28 +57,34 @@ def __init__(self, file: BitsType, probe: bool = False) -> None: self.mime = ftype.mime - if ftype.mime in ["video/mp4", "video/quicktime"]: - self.keyframes = parse_mpeg(file) - self.unit = "frames" - elif ftype.mime in ["video/x-matroska", "video/webm"]: - self.keyframes = parse_matroska(file) - self.unit = "pts" + if ftype.mime in ["video/x-matroska", "video/webm"]: + keyframes = parse_matroska(file) + self.frames_supported = False else: - raise ValueError( - f"Unsupported container: {ftype.mime} (hint: try passing probe=True to the Fastseek constructor)" - ) - - if len(self.keyframes) == 0: - raise ValueError( - f"The parser for {ftype.mime} was unable to find any streams (hint: try passing probe=True to the Fastseek constructor)" - ) - - if all(len(kf) == 0 for kf in self.keyframes.values()): - raise ValueError( - f"The parser for {ftype.mime} was unable to find any keyframes (hint: try passing probe=True to the Fastseek constructor)" - ) - - def should_seek(self, current: int, target: int, stream: int = 0) -> Optional[KeyframeInfo]: + keyframes = parse_probe(file) + self.frames_supported = True + + if len(keyframes) == 0: + raise ValueError( + f"The parser for {ftype.mime} was unable to find any streams (hint: try passing probe=True to the Fastseek constructor)" + ) + + if all(len(kf) == 0 for kf in keyframes.values()): + raise ValueError( + f"The parser for {ftype.mime} was unable to find any keyframes (hint: try passing probe=True to the Fastseek constructor)" + ) + + self.keyframe_pts = {k: sorted(x.pts for x in v) for k, v in keyframes.items()} + if self.frames_supported: + self.keyframes_by_frames = { + k: (l := sorted(v, key=lambda x: x.index), [x.index for x in l]) + for k, v in keyframes.items() + } + self.streams = list(keyframes.keys()) + + def should_seek( + self, current_frame_index: int, target_frame_index: int, stream: int = 0 + ) -> Optional[KeyframeInfo]: """Determine if seeking to a keyframe is necessary to reach the target frame. This method helps optimize video seeking by determining whether a seek operation @@ -87,28 +93,23 @@ def should_seek(self, current: int, target: int, stream: int = 0) -> Optional[Ke the current position would be less efficient). Args: - current: The current frame number or timestamp (depending on container format) - target: The desired frame number or timestamp to seek to + current_frame_index: The current frame number + target_frame_index: The desired frame number to seek to stream: The video stream index to use. Defaults to 0. Returns: Information about the nearest keyframe if seeking would be beneficial, or None if sequential decoding from current position is more efficient. - The KeyframeInfo contains the keyframe's position and timing information. - - Note: - The units for current and target depend on the container format: - - For MP4/MOV: frame numbers (count-based) - - For Matroska/WebM: timestamps (time-based) """ - nearest_iframe: KeyframeInfo = self.nearest_keyframe(target, stream) + nearest_iframe: KeyframeInfo = self.nearest_keyframe(target_frame_index, stream) return ( nearest_iframe - if (current < nearest_iframe.index <= target) or (target < current) + if (current_frame_index < nearest_iframe.index <= target_frame_index) + or (target_frame_index < current_frame_index) else None ) - def nearest_keyframe(self, target: int, stream: int = 0) -> KeyframeInfo: + def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> KeyframeInfo: """Find the nearest keyframe that comes before the target frame. This method performs a binary search to find the keyframe that is closest to, @@ -116,8 +117,7 @@ def nearest_keyframe(self, target: int, stream: int = 0) -> KeyframeInfo: optimal starting point for decoding to reach a specific frame. Args: - target: The target frame number or timestamp to find the nearest keyframe for. - The unit (frame count or timestamp) depends on the container format. + target_frame_index: The target frame number to find the nearest keyframe for. stream: The video stream index to use. Defaults to 0. Used when the container has multiple video streams. @@ -131,13 +131,41 @@ def nearest_keyframe(self, target: int, stream: int = 0) -> KeyframeInfo: workaround and may be updated in the future. """ - if stream >= len(self.keyframes): + if stream >= len(self.keyframes_by_frames): + raise ValueError(f"No stream with index {stream}") + + stream_id = self.streams[stream] + keyframes, frames = self.keyframes_by_frames[stream_id] + + if len(keyframes) == 0: + raise ValueError(f"No keyframes found for stream {stream}") + + # bisect_right returns the rightmost insertion point, so subtracting 1 gives + # us the index of the last keyframe with index <= target + nearest_iframe_to_target_index: int = bisect_right(frames, target_frame_index) - 1 + return keyframes[max(0, nearest_iframe_to_target_index)] + + def get_next_keyframe_pts(self, current_frame_pts: int, stream: int = 0) -> int: + """Find the PTS of the next keyframe after the current frame. + + Args: + current_frame_pts: The PTS of the current frame. + stream: The video stream index to use. Defaults to 0. + Used when the container has multiple video streams. + + Returns: + The PTS of the next keyframe after the current frame. + """ + + if stream >= len(self.streams): raise ValueError(f"No stream with index {stream}") - stream_id = list(self.keyframes.keys())[stream] + pts = self.keyframe_pts[self.streams[stream]] - if len(self.keyframes[stream_id]) == 0: + if len(pts) == 0: raise ValueError(f"No keyframes found for stream {stream}") - nearest_iframe_to_target_index: int = self.keyframes[stream_id].bisect_left(target) - 1 - return self.keyframes[stream_id][max(0, nearest_iframe_to_target_index)] + pos = bisect_right(pts, current_frame_pts) + if pos == len(pts): + return float("inf") + return pts[pos] diff --git a/src/megatron/energon/av/fastseek/keyframeinfo.py b/src/megatron/energon/av/fastseek/keyframeinfo.py index 5134997a..e064ebe6 100644 --- a/src/megatron/energon/av/fastseek/keyframeinfo.py +++ b/src/megatron/energon/av/fastseek/keyframeinfo.py @@ -3,7 +3,7 @@ from dataclasses import dataclass -@dataclass +@dataclass(slots=True) class KeyframeInfo: """ Information about a detected keyframe @@ -17,15 +17,3 @@ class KeyframeInfo: index: int pts: int - - def __eq__(self, other) -> bool: - if isinstance(other, KeyframeInfo): - return self.index == other.index - - return self.index == other - - def __lt__(self, other) -> bool: - if isinstance(other, KeyframeInfo): - return self.index < other.index - - return self.index < other diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py new file mode 100644 index 00000000..7974f3f7 --- /dev/null +++ b/src/megatron/energon/av/fastseek/reader.py @@ -0,0 +1,109 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. +# SPDX-License-Identifier: BSD-3-Clause +from abc import ABC, abstractmethod +from collections.abc import Generator + +import av + +from .fastseek import Fastseek + + +class FastseekReader(ABC): + """A class that provides a interface for reading video frames from a video stream for frame range extraction.""" + + def __init__( + self, seeker: Fastseek, input_container: av.container.InputContainer, stream_idx: int = 0 + ) -> None: + """Initialize the fastseek reader. + + Args: + seeker: The Fastseek object to use for seeking. + input_container: The pyav input container to read from. + stream_idx: The index of the video stream to read from. + """ + self.seeker = seeker + self.input_container = input_container + self.frame_iterator = input_container.decode(video=stream_idx) + self.stream = input_container.streams.video[stream_idx] + self.skipped = 0 + + @abstractmethod + def seek_read( + self, + range_start: int, + range_end: int | None, + ) -> Generator[av.VideoFrame, None, None]: + """ + Read video frames from the video stream for the given range. + Subsequent calls to this method must be called with increasing range_start/range_end values, + i.e. range_start(call i) <= range_end(call i) <= range_start(call i+1). + + Args: + range_start: The start of the range to read from. The type of the range is defined by the subclass. + range_end: The end of the range to read from. The type of the range is defined by the subclass. + + Returns: + A generator of video frames. + """ + ... + + +class FastseekReaderByFrames(FastseekReader): + """A video frame reader that seeks by frame index.""" + + next_frame_index: int = 0 + + def seek_read( + self, range_start: int, range_end: int | None + ) -> Generator[av.VideoFrame, None, None]: + frame_info = self.seeker.should_seek(self.next_frame_index, range_start) + if frame_info is not None: + self.input_container.seek(frame_info.pts, stream=self.stream) + self.next_frame_index = frame_info.index + next_idx = self.next_frame_index + for next_idx, frame in zip( + range(self.next_frame_index + 1, range_start + 1), self.frame_iterator + ): + # print(f"Skip frame {next_idx - 1} at {frame.pts} +{frame.duration}") + pass + self.skipped += next_idx - self.next_frame_index + self.next_frame_index = next_idx + + for frame in self.frame_iterator: + self.next_frame_index += 1 + yield frame + if range_end is not None and self.next_frame_index > range_end: + break + + +class FastseekReaderByPts(FastseekReader): + """A video frame reader that seeks by PTS.""" + + next_frame_pts: int = 0 + next_keyframe_pts: int = 0 + + def seek_read( + self, range_start: int, range_end: int | None + ) -> Generator[av.VideoFrame, None, None]: + # frame_info = self.seeker.should_seek_by_pts(self.next_frame_pts, range_start) + # if frame_info is not None: + # print(f"Seeking to frame {frame_info.pts} (frame {frame_info.index}) for {range_start} from {self.next_frame_pts}") + # self.input_container.seek(frame_info.pts, stream=self.stream) + # self.next_frame_pts = frame_info.pts + if self.next_keyframe_pts < range_start: + # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") + self.input_container.seek(range_start, stream=self.stream) + skipped = 0 + frame = None + for frame in self.frame_iterator: + if range_start > (frame.pts + frame.duration): + skipped += 1 + continue + yield frame + if range_end is not None and (frame.pts + frame.duration) >= range_end: + break + if frame is not None: + self.next_frame_pts = frame.pts + frame.duration + self.next_keyframe_pts = self.seeker.get_next_keyframe_pts(frame.pts + frame.duration) + # print(f"Next keyframe for {frame.pts + frame.duration} is {self.pts[max(0, bs-1): bs+2]} at {bs}") + self.skipped += skipped diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 02677855..19b7954e 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -18,6 +18,8 @@ import torchvision.transforms as transforms from megatron.energon.av import AVDecoder, get_clips_uniform, get_single_frames_uniform +from megatron.energon.av.fastseek.fastseek import Fastseek +from megatron.energon.av.fastseek.keyframeinfo import KeyframeInfo from megatron.energon.media import AVMetadata # Set multiprocessing start method to 'spawn' on macOS to avoid DataLoader cleanup issues @@ -73,6 +75,59 @@ def tensors_close(tensor1: torch.Tensor, tensor2: torch.Tensor, tolerance: float return mae <= tolerance +class TestFastseek(unittest.TestCase): + """Test fastseek functionality.""" + + def test_fastseek_mp4(self): + """Test fastseek.""" + fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) + print(fastseek.keyframes_by_frames) + assert list(fastseek.keyframes_by_frames.keys()) == [1] + assert fastseek.keyframes_by_frames[1][0] == [ + KeyframeInfo(index=0, pts=0), + KeyframeInfo(index=250, pts=128000), + KeyframeInfo(index=500, pts=256000), + KeyframeInfo(index=750, pts=384000), + KeyframeInfo(index=1000, pts=512000), + KeyframeInfo(index=1250, pts=640000), + KeyframeInfo(index=1500, pts=768000), + KeyframeInfo(index=1750, pts=896000), + ] + assert fastseek.keyframe_pts == { + 1: [0, 128000, 256000, 384000, 512000, 640000, 768000, 896000] + } + assert fastseek.frames_supported + assert fastseek.mime == "video/mp4" + + assert fastseek.should_seek(0, 0) is None + assert fastseek.should_seek(0, 249) is None + assert fastseek.should_seek(0, 250) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek(0, 251) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek(0, 499) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek(499, 500) == KeyframeInfo(index=500, pts=256000) + assert fastseek.should_seek(250, 499) is None + assert fastseek.should_seek(250, 500) == KeyframeInfo(index=500, pts=256000) + + assert fastseek.get_next_keyframe_pts(0) == 128000, ( + f"Expected 128000, got {fastseek.get_next_keyframe_pts(0)}" + ) + assert fastseek.get_next_keyframe_pts(127999) == 128000 + assert fastseek.get_next_keyframe_pts(128000) == 256000 + + def test_fastseek_mkv(self): + """Test fastseek.""" + fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mkv").read_bytes())) + print(fastseek.keyframe_pts) + assert list(fastseek.keyframe_pts.keys()) == [1] + assert fastseek.keyframe_pts[1] == [0, 8354, 16688, 25021, 33354, 41688, 50021, 58354] + assert not fastseek.frames_supported + assert fastseek.mime == "video/x-matroska" + + assert fastseek.get_next_keyframe_pts(0) == 8354 + assert fastseek.get_next_keyframe_pts(8353) == 8354 + assert fastseek.get_next_keyframe_pts(8354) == 16688 + + class TestVideoDecode(unittest.TestCase): """Test video decoding functionality.""" @@ -109,6 +164,54 @@ def test_decode_all_frames(self): "Energon decoded video does not match baseline" ) + def test_verify_video_decode(self): + """Verify the video decode matches the baseline.""" + av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) + all_timestamps = [] + for frame in range(1891): + # print(f"Loading frame {frame}") + video_data, timestamps = av_decoder.get_video_clips( + video_clip_ranges=[(frame, frame)], video_unit="frames" + ) + assert len(video_data) == 1 + assert video_data[0].shape == (1, 3, 108, 192), ( + f"Shape of frame {frame} is {video_data[0].shape}" + ) + assert (video_data[0] == self.complete_video_tensor[frame : frame + 1]).all() + # print(f"Timestamp for frame {frame}: {timestamps[0]}") + all_timestamps.append(0.5 * (timestamps[0][0] + timestamps[0][1])) + + for frame, timestamp1, timestamp2 in zip( + range(1891), all_timestamps, all_timestamps[1:] + [float("inf")] + ): + # print(f"Loading frame {frame}") + video_data, timestamps = av_decoder.get_video_clips( + video_clip_ranges=[(timestamp1, timestamp1)], video_unit="seconds" + ) + assert len(video_data) == 1 + assert video_data[0].shape == (1, 3, 108, 192), ( + f"Shape of frame {frame} is {video_data[0].shape}" + ) + assert (video_data[0] == self.complete_video_tensor[frame : frame + 1]).all() + assert 0.5 * (timestamps[0][0] + timestamps[0][1]) == timestamp1, ( + f"Timestamp for frame {frame} is {timestamps[0][0]} + {timestamps[0][1]}" + ) + + video_data, timestamps = av_decoder.get_video_clips( + video_clip_ranges=[(timestamp1, timestamp2)], video_unit="seconds" + ) + assert len(video_data) == 1 + if frame == 1890: + assert video_data[0].shape == (1, 3, 108, 192), ( + f"Shape of frame {frame} is {video_data[0].shape}" + ) + assert (video_data[0] == self.complete_video_tensor[frame : frame + 1]).all() + else: + assert video_data[0].shape == (2, 3, 108, 192), ( + f"Shape of frame {frame} is {video_data[0].shape}" + ) + assert (video_data[0] == self.complete_video_tensor[frame : frame + 2]).all() + def test_decode_metadata(self): """Test decoding metadata.""" expected_metadata = [ From 3de346a8c5758a41d80d2c418dd41c8e6d2ea07d Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 8 Dec 2025 08:44:27 -0800 Subject: [PATCH 58/80] Fix boundary conditions --- src/megatron/energon/av/av_decoder.py | 3 +- src/megatron/energon/av/fastseek/reader.py | 28 +++++++++--- tests/test_av_decoder.py | 51 +++++++++++++++++++++- 3 files changed, 74 insertions(+), 8 deletions(-) diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index f9a35e08..600866f6 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -60,6 +60,7 @@ def __init__(self, stream: BinaryIO, suppress_warnings: bool = False) -> None: def _ensure_seeker(self) -> None: if self.seeker is None: + self.stream.seek(0) self.seeker = Fastseek(self.stream) self.stream.seek(0) @@ -186,7 +187,7 @@ def get_video_clips( video_clips_frames.append(clip_frames) video_clips_timestamps.append((clip_timestamp_start, clip_timestamp_end)) - print(f"Skipped {seeker.skipped} frames") + # print(f"Skipped {seeker.skipped} frames") # Stack frames within each clip out_video_clips = [ torch.stack(clip_frames).permute((0, 3, 1, 2)) for clip_frames in video_clips_frames diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index 7974f3f7..27385773 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -52,6 +52,7 @@ class FastseekReaderByFrames(FastseekReader): """A video frame reader that seeks by frame index.""" next_frame_index: int = 0 + last_frame: av.VideoFrame | None = None def seek_read( self, range_start: int, range_end: int | None @@ -69,11 +70,19 @@ def seek_read( self.skipped += next_idx - self.next_frame_index self.next_frame_index = next_idx + frame = self.last_frame + if frame is not None and self.next_frame_index == range_start: + # Repeat the previous frame. This is allowed. + yield frame + if range_end is not None and self.next_frame_index > range_end: + # Special case: User requested the last frame, not more. + return for frame in self.frame_iterator: self.next_frame_index += 1 yield frame if range_end is not None and self.next_frame_index > range_end: break + self.last_frame = frame class FastseekReaderByPts(FastseekReader): @@ -81,6 +90,7 @@ class FastseekReaderByPts(FastseekReader): next_frame_pts: int = 0 next_keyframe_pts: int = 0 + last_frame: av.VideoFrame | None = None def seek_read( self, range_start: int, range_end: int | None @@ -94,16 +104,22 @@ def seek_read( # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") self.input_container.seek(range_start, stream=self.stream) skipped = 0 - frame = None + frame = self.last_frame + if frame is not None and range_start < (frame.pts + frame.duration): + # Repeat the previous frame. This is allowed. + yield frame + if range_end is not None and (frame.pts + frame.duration) >= range_end: + # Special case: User requested the last frame, not more. + return for frame in self.frame_iterator: - if range_start > (frame.pts + frame.duration): + if range_start >= (frame.pts + frame.duration): skipped += 1 continue yield frame if range_end is not None and (frame.pts + frame.duration) >= range_end: break - if frame is not None: - self.next_frame_pts = frame.pts + frame.duration - self.next_keyframe_pts = self.seeker.get_next_keyframe_pts(frame.pts + frame.duration) - # print(f"Next keyframe for {frame.pts + frame.duration} is {self.pts[max(0, bs-1): bs+2]} at {bs}") + self.last_frame = frame + self.next_frame_pts = frame.pts + frame.duration + self.next_keyframe_pts = self.seeker.get_next_keyframe_pts(frame.pts + frame.duration) + # print(f"Next keyframe for {frame.pts + frame.duration} is {self.pts[max(0, bs-1): bs+2]} at {bs}") self.skipped += skipped diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 19b7954e..745d9ec2 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -282,6 +282,51 @@ def test_decode_strided_resized(self): "Energon decoded video does not match baseline" ) + def test_time_precision(self): + """Test decoding video frames with time precision.""" + av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) + video_data, timestamps = av_decoder.get_video_clips( + video_clip_ranges=[ + (4 + 1 / 30, 4 + 1 / 30), + (4 + 1 / 30 + 1 / 60, 4 + 1 / 30 + 1 / 60), + ], + video_unit="seconds", + ) + assert (timestamps[0][0] == 4 + 1 / 30) and (timestamps[0][1] == 4 + 2 / 30), ( + f"Timestamp for frame 0 is {timestamps[0][0]} and {timestamps[0][1]}" + ) + assert (timestamps[1][0] == 4 + 1 / 30) and (timestamps[1][1] == 4 + 2 / 30), ( + f"Timestamp for frame 0 is {timestamps[1][0]} and {timestamps[1][1]}" + ) + from PIL import Image + + Image.fromarray(video_data[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( + "circ.png" + ) + assert (video_data[0][0, :, 18:55, 18:55] > 250).all(), ( + "First extracted frame is not all white in the area (18, 18, 55, 55)" + ) + + av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) + video_data, timestamps = av_decoder.get_video_clips( + video_clip_ranges=[(4 * 30 + 1, 4 * 30 + 1), (4 * 30 + 1, 4 * 30 + 1)], + video_unit="frames", + ) + assert (timestamps[0][0] == 4 + 1 / 30) and (timestamps[0][1] == 4 + 2 / 30), ( + f"Timestamp for frame 0 is {timestamps[0][0]} and {timestamps[0][1]}" + ) + assert (timestamps[1][0] == 4 + 1 / 30) and (timestamps[1][1] == 4 + 2 / 30), ( + f"Timestamp for frame 0 is {timestamps[1][0]} and {timestamps[1][1]}" + ) + from PIL import Image + + Image.fromarray(video_data[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( + "circ.png" + ) + assert (video_data[0][0, :, 18:55, 18:55] > 250).all(), ( + "First extracted frame is not all white in the area (18, 18, 55, 55)" + ) + def test_video_audio_sync(self): """Test decoding video frames and audio clips together.""" av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) @@ -303,7 +348,11 @@ def test_video_audio_sync(self): video_clips = av_data.video_clips[2:] audio_clips = av_data.audio_clips[2:] # Then we check that the first extracted frame is all white in the area (18, 18, 55, 55) - # Image.fromarray(video_clips[0][0, :, 18:55, 18:55].numpy().transpose(1,2,0)).save('circ.png') + from PIL import Image + + Image.fromarray(video_clips[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( + "circ.png" + ) assert (video_clips[0][0, :, 18:55, 18:55] > 250).all(), ( "First extracted frame is not all white in the area (18, 18, 55, 55)" ) From aa3dc38271a3cea4036ebabb0878f40544887758 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 9 Dec 2025 02:13:16 -0800 Subject: [PATCH 59/80] Remove dbg comments --- src/megatron/energon/av/fastseek/reader.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index 27385773..166af10f 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -95,11 +95,6 @@ class FastseekReaderByPts(FastseekReader): def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: - # frame_info = self.seeker.should_seek_by_pts(self.next_frame_pts, range_start) - # if frame_info is not None: - # print(f"Seeking to frame {frame_info.pts} (frame {frame_info.index}) for {range_start} from {self.next_frame_pts}") - # self.input_container.seek(frame_info.pts, stream=self.stream) - # self.next_frame_pts = frame_info.pts if self.next_keyframe_pts < range_start: # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") self.input_container.seek(range_start, stream=self.stream) From 1f7fa34a72be8a4efb61d478aa84dae754ca3b25 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 9 Dec 2025 02:13:45 -0800 Subject: [PATCH 60/80] Improve test speed --- tests/test_av_decoder.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 745d9ec2..7a07ed50 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -168,7 +168,7 @@ def test_verify_video_decode(self): """Verify the video decode matches the baseline.""" av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) all_timestamps = [] - for frame in range(1891): + for frame in [*range(510), *range(1390, 1891)]: # print(f"Loading frame {frame}") video_data, timestamps = av_decoder.get_video_clips( video_clip_ranges=[(frame, frame)], video_unit="frames" @@ -182,7 +182,7 @@ def test_verify_video_decode(self): all_timestamps.append(0.5 * (timestamps[0][0] + timestamps[0][1])) for frame, timestamp1, timestamp2 in zip( - range(1891), all_timestamps, all_timestamps[1:] + [float("inf")] + [*range(510), *range(1390, 1891)], all_timestamps, all_timestamps[1:] + [float("inf")] ): # print(f"Loading frame {frame}") video_data, timestamps = av_decoder.get_video_clips( @@ -298,11 +298,11 @@ def test_time_precision(self): assert (timestamps[1][0] == 4 + 1 / 30) and (timestamps[1][1] == 4 + 2 / 30), ( f"Timestamp for frame 0 is {timestamps[1][0]} and {timestamps[1][1]}" ) - from PIL import Image + # from PIL import Image - Image.fromarray(video_data[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( - "circ.png" - ) + # Image.fromarray(video_data[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( + # "circ.png" + # ) assert (video_data[0][0, :, 18:55, 18:55] > 250).all(), ( "First extracted frame is not all white in the area (18, 18, 55, 55)" ) @@ -348,11 +348,11 @@ def test_video_audio_sync(self): video_clips = av_data.video_clips[2:] audio_clips = av_data.audio_clips[2:] # Then we check that the first extracted frame is all white in the area (18, 18, 55, 55) - from PIL import Image + # from PIL import Image - Image.fromarray(video_clips[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( - "circ.png" - ) + # Image.fromarray(video_clips[0][0, :, 18:55, 18:55].numpy().transpose(1, 2, 0)).save( + # "circ.png" + # ) assert (video_clips[0][0, :, 18:55, 18:55] > 250).all(), ( "First extracted frame is not all white in the area (18, 18, 55, 55)" ) From fea57422f3ac9458da7edf21bc30d53e33698e7c Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 9 Dec 2025 03:39:14 -0800 Subject: [PATCH 61/80] Optimize test --- tests/test_av_decoder.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 7a07ed50..81554722 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -168,7 +168,7 @@ def test_verify_video_decode(self): """Verify the video decode matches the baseline.""" av_decoder = AVDecoder(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) all_timestamps = [] - for frame in [*range(510), *range(1390, 1891)]: + for frame in [*range(5), *range(245, 255), *range(1881, 1891)]: # print(f"Loading frame {frame}") video_data, timestamps = av_decoder.get_video_clips( video_clip_ranges=[(frame, frame)], video_unit="frames" @@ -182,8 +182,10 @@ def test_verify_video_decode(self): all_timestamps.append(0.5 * (timestamps[0][0] + timestamps[0][1])) for frame, timestamp1, timestamp2 in zip( - [*range(510), *range(1390, 1891)], all_timestamps, all_timestamps[1:] + [float("inf")] + [*range(5), *range(245, 255), *range(1881, 1891)], all_timestamps, all_timestamps[1:] + [float("inf")] ): + if frame in (4, 254): + continue # print(f"Loading frame {frame}") video_data, timestamps = av_decoder.get_video_clips( video_clip_ranges=[(timestamp1, timestamp1)], video_unit="seconds" From cde61d30b068da984fd8b10ecf4a7e4bcdcdd635 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Thu, 11 Dec 2025 15:27:49 +0100 Subject: [PATCH 62/80] Fix a rare deadlock, that happens in __del__ of a cache lazy, when it's being collected within the outer lock by using a rlock --- src/megatron/energon/cache/file_cache_pool.py | 4 ++-- tests/test_file_cache_pool.py | 22 +++++++++++++------ 2 files changed, 17 insertions(+), 9 deletions(-) diff --git a/src/megatron/energon/cache/file_cache_pool.py b/src/megatron/energon/cache/file_cache_pool.py index e075759c..6710a22d 100644 --- a/src/megatron/energon/cache/file_cache_pool.py +++ b/src/megatron/energon/cache/file_cache_pool.py @@ -151,7 +151,7 @@ class FileStoreCachePool(CachePool, ForkMixin): _pending_tasks: Dict[Tuple[str, str], _PendingTask] # Lock for all shared structures - _lock: threading.Lock + _lock: threading.RLock # Condition variable to signal when cache space is available _cache_space_available: threading.Condition # Whether the pool is shutting down @@ -202,7 +202,7 @@ def __init__( self.current_cache_count = 0 # A lock to protect all shared structures - self._lock = threading.Lock() + self._lock = threading.RLock() # Condition variable to signal when cache space is available self._cache_space_available = threading.Condition(self._lock) diff --git a/tests/test_file_cache_pool.py b/tests/test_file_cache_pool.py index 5f835987..6ce59da1 100644 --- a/tests/test_file_cache_pool.py +++ b/tests/test_file_cache_pool.py @@ -616,13 +616,19 @@ def test_concurrent_access(self): results = [] def worker(filename): - lazy_ref = pool.get_lazy(mock_raw_file_store, filename) - result, source_info = lazy_ref.get() - results.append(result) - assert source_info.dataset_path == mock_raw_file_store.get_path() - assert source_info.index is None - assert source_info.shard_name is None - assert source_info.file_names == (filename,) + try: + lazy_ref = pool.get_lazy(mock_raw_file_store, filename) + sample_for_source_info = {"__sources__": ()} + result = lazy_ref.get(sample_for_source_info) + results.append(result) + assert sample_for_source_info["__sources__"][0].dataset_path == mock_raw_file_store.get_path() + assert sample_for_source_info["__sources__"][0].index is None + assert sample_for_source_info["__sources__"][0].shard_name is None + assert sample_for_source_info["__sources__"][0].file_names == (filename,) + except Exception as e: + results.append(e) + else: + results.append(result) try: # Start multiple threads accessing the same file @@ -638,6 +644,8 @@ def worker(filename): # All threads should get the correct result for r in results: + if isinstance(r, Exception): + raise r assert r == b"test data 1" finally: pool.close() From 8b77616a08d9c4fc86608f19db80045a7812e5fe Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 12 Dec 2025 09:32:39 +0100 Subject: [PATCH 63/80] Test fix --- tests/test_file_cache_pool.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_file_cache_pool.py b/tests/test_file_cache_pool.py index 6ce59da1..f4600aca 100644 --- a/tests/test_file_cache_pool.py +++ b/tests/test_file_cache_pool.py @@ -620,7 +620,6 @@ def worker(filename): lazy_ref = pool.get_lazy(mock_raw_file_store, filename) sample_for_source_info = {"__sources__": ()} result = lazy_ref.get(sample_for_source_info) - results.append(result) assert sample_for_source_info["__sources__"][0].dataset_path == mock_raw_file_store.get_path() assert sample_for_source_info["__sources__"][0].index is None assert sample_for_source_info["__sources__"][0].shard_name is None From bfff755006c1e6249261912aceb68e7df078fff8 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 12 Dec 2025 11:21:05 +0100 Subject: [PATCH 64/80] Cleanup code for easier review --- src/megatron/energon/av/av_decoder.py | 18 ++-- src/megatron/energon/av/av_init.py | 4 +- .../energon/av/fastseek/containers/probe.py | 17 +++- src/megatron/energon/av/fastseek/fastseek.py | 88 +++++++++++++------ tests/test_av_decoder.py | 54 +++++++++--- 5 files changed, 129 insertions(+), 52 deletions(-) diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index 600866f6..a2e1ac65 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -109,16 +109,18 @@ def get_video_clips( video_stream = input_container.streams.video[0] # Pre-calculate timing info for video - average_rate: Fraction = video_stream.average_rate # Frames per second + # Frames per second + average_rate: Fraction = video_stream.average_rate assert average_rate, "Video stream has no FPS." - time_base: Fraction = video_stream.time_base # Seconds per PTS unit + # Seconds per PTS unit + time_base: Fraction = video_stream.time_base - seeker: FastseekReader + reader: FastseekReader # Convert video_clip_ranges to seeker unit if video_unit == "frames": - if self.seeker.frames_supported: - seeker = FastseekReaderByFrames(self.seeker, input_container) + if self.seeker.frame_index_supported: + reader = FastseekReaderByFrames(self.seeker, input_container) else: # Convert from frames to pts units video_clip_ranges = [ @@ -128,7 +130,7 @@ def get_video_clips( ) for clip in video_clip_ranges ] - seeker = FastseekReaderByPts(self.seeker, input_container) + reader = FastseekReaderByPts(self.seeker, input_container) video_unit = "seconds" if not self.suppress_warnings: @@ -145,7 +147,7 @@ def get_video_clips( ) for clip in video_clip_ranges ] - seeker = FastseekReaderByPts(self.seeker, input_container) + reader = FastseekReaderByPts(self.seeker, input_container) else: raise ValueError(f"Invalid video unit: {video_unit!r}") @@ -164,7 +166,7 @@ def get_video_clips( clip_timestamp_end = None frame = None - for frame in seeker.seek_read(range_start, range_end): + for frame in reader.seek_read(range_start, range_end): # print(f"Taking frame {frame.pts}+{frame.duration}") if video_out_frame_size is not None: frame = frame.reformat( diff --git a/src/megatron/energon/av/av_init.py b/src/megatron/energon/av/av_init.py index 8a930cbd..28c8a943 100644 --- a/src/megatron/energon/av/av_init.py +++ b/src/megatron/energon/av/av_init.py @@ -1,6 +1,8 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause +from bitstring.bits import BitsType + try: # Try importing optional dependencies import av @@ -10,7 +12,7 @@ pass -def av_open(file: str) -> "av.container.InputContainer": +def av_open(file: BitsType) -> "av.container.InputContainer": """Open a file with PyAV. This function is a wrapper around av.open that disables additional threads in the container. diff --git a/src/megatron/energon/av/fastseek/containers/probe.py b/src/megatron/energon/av/fastseek/containers/probe.py index e53c2c25..478f76d1 100644 --- a/src/megatron/energon/av/fastseek/containers/probe.py +++ b/src/megatron/energon/av/fastseek/containers/probe.py @@ -1,18 +1,29 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause +from bitstring.bits import BitsType + from ...av_init import av_open from ..keyframeinfo import KeyframeInfo -def parse_probe(file): +def parse_probe(file: BitsType) -> dict[int, list[KeyframeInfo]]: + """ + Parse the container file using pyav to find keyframes. + + Args: + file: The container file to parse. + + Returns: + A dictionary of keyframes, keyed by stream id. dict> + """ keyframes = {} with av_open(file) as input_container: for stream_idx, stream in enumerate(input_container.streams.video): keyframes[stream.id] = [ KeyframeInfo(index, p.pts) for index, p in enumerate(input_container.demux(video=stream_idx)) - if p.is_keyframe + if p.is_keyframe and p.pts is not None ] - return keyframes + return keyframes diff --git a/src/megatron/energon/av/fastseek/fastseek.py b/src/megatron/energon/av/fastseek/fastseek.py index 8aa73be5..7a3051a8 100644 --- a/src/megatron/energon/av/fastseek/fastseek.py +++ b/src/megatron/energon/av/fastseek/fastseek.py @@ -11,6 +11,30 @@ from .keyframeinfo import KeyframeInfo +class StreamInfo: + """Information about a video stream.""" + + __slots__ = ("id", "keyframe_pts", "keyframe_indexes", "keyframes") + + #: The stream id. + id: int + #: The PTS times of the keyframes, sorted by PTS. + keyframe_pts: list[int] + #: The keyframes, sorted by frame index. + keyframes: list[KeyframeInfo] + #: The frame indexes of the keyframes if access by keyframes is allowed. + keyframe_indexes: list[int] | None + + def __init__(self, id: int, keyframes: list[KeyframeInfo], has_frame_index: bool) -> None: + self.id = id + self.keyframes = sorted(keyframes, key=lambda x: (x.index, x.pts)) + self.keyframe_pts = sorted(x.pts for x in keyframes) + self.keyframe_indexes = [x.index for x in self.keyframes] if has_frame_index else None + + def __repr__(self) -> str: + return f"StreamInfo(id={self.id}, keyframe_pts={self.keyframe_pts}, keyframe_indexes={self.keyframe_indexes}, keyframes={self.keyframes})" + + class Fastseek: """ Gathers information from the video container file (e.g. metadata which requires minimal decoding) @@ -27,10 +51,16 @@ class Fastseek: significantly faster than sequential decoding. """ - keyframe_pts: dict[int, list[int]] - keyframes_by_frames: dict[int, tuple[list[KeyframeInfo], list[int]]] + #: Keyframe info by stream id + keyframes: dict[int, StreamInfo] + + #: List of stream ids for indexed access. streams: list[int] - frames_supported: bool + #: Whether frame indexes are supported for this container. + #: If False, access is only possible by PTS. + #: If True, supports both PTS and frame indexes. + frame_index_supported: bool + #: MIME type of the container. mime: str def __init__(self, file: BitsType, force_probe: bool = False) -> None: @@ -38,15 +68,12 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: Args: file: The video file data as a bitstring BitsType object. This should contain the raw bytes of the video file. - force_probe: If True, use ffmpeg to probe the stream without decoding. This is slower but works with any container format. - If False (default), attempt to parse the container format directly. Only works with MP4/MOV and Matroska/WebM. - - Raises: - ValueError: If the file type cannot be determined or if the container format is not supported (when probe=False). + force_probe: If True, use ffmpeg to probe the stream without decoding. This may be slower but works with any container format. + If False (default), attempt to parse the container format directly (only optimized for matroska). """ if force_probe: keyframes = parse_probe(file) - self.frames_supported = True + self.frame_index_supported = True else: ftype = filetype.guess(file) @@ -59,10 +86,10 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: if ftype.mime in ["video/x-matroska", "video/webm"]: keyframes = parse_matroska(file) - self.frames_supported = False + self.frame_index_supported = False else: keyframes = parse_probe(file) - self.frames_supported = True + self.frame_index_supported = True if len(keyframes) == 0: raise ValueError( @@ -74,13 +101,11 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: f"The parser for {ftype.mime} was unable to find any keyframes (hint: try passing probe=True to the Fastseek constructor)" ) - self.keyframe_pts = {k: sorted(x.pts for x in v) for k, v in keyframes.items()} - if self.frames_supported: - self.keyframes_by_frames = { - k: (l := sorted(v, key=lambda x: x.index), [x.index for x in l]) - for k, v in keyframes.items() - } - self.streams = list(keyframes.keys()) + self.keyframes = { + k: StreamInfo(k, keyframes, self.frame_index_supported) + for k, keyframes in keyframes.items() + } + self.streams = list(self.keyframes.keys()) def should_seek( self, current_frame_index: int, target_frame_index: int, stream: int = 0 @@ -131,19 +156,24 @@ def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> Keyframe workaround and may be updated in the future. """ - if stream >= len(self.keyframes_by_frames): + if stream >= len(self.streams): raise ValueError(f"No stream with index {stream}") stream_id = self.streams[stream] - keyframes, frames = self.keyframes_by_frames[stream_id] + stream_info = self.keyframes[stream_id] - if len(keyframes) == 0: + if len(stream_info.keyframes) == 0: raise ValueError(f"No keyframes found for stream {stream}") + assert stream_info.keyframe_indexes is not None, ( + "Frame indexes are not supported for this container" + ) # bisect_right returns the rightmost insertion point, so subtracting 1 gives # us the index of the last keyframe with index <= target - nearest_iframe_to_target_index: int = bisect_right(frames, target_frame_index) - 1 - return keyframes[max(0, nearest_iframe_to_target_index)] + nearest_iframe_to_target_index: int = ( + bisect_right(stream_info.keyframe_indexes, target_frame_index) - 1 + ) + return stream_info.keyframes[max(0, nearest_iframe_to_target_index)] def get_next_keyframe_pts(self, current_frame_pts: int, stream: int = 0) -> int: """Find the PTS of the next keyframe after the current frame. @@ -155,17 +185,19 @@ def get_next_keyframe_pts(self, current_frame_pts: int, stream: int = 0) -> int: Returns: The PTS of the next keyframe after the current frame. + If no next keyframe is found, returns float("inf"). """ if stream >= len(self.streams): raise ValueError(f"No stream with index {stream}") - pts = self.keyframe_pts[self.streams[stream]] + stream_id = self.streams[stream] + stream_info = self.keyframes[stream_id] - if len(pts) == 0: + if len(stream_info.keyframe_pts) == 0: raise ValueError(f"No keyframes found for stream {stream}") - pos = bisect_right(pts, current_frame_pts) - if pos == len(pts): + pos = bisect_right(stream_info.keyframe_pts, current_frame_pts) + if pos == len(stream_info.keyframe_pts): return float("inf") - return pts[pos] + return stream_info.keyframe_pts[pos] diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 81554722..4a8fe9e1 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -81,9 +81,10 @@ class TestFastseek(unittest.TestCase): def test_fastseek_mp4(self): """Test fastseek.""" fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) - print(fastseek.keyframes_by_frames) - assert list(fastseek.keyframes_by_frames.keys()) == [1] - assert fastseek.keyframes_by_frames[1][0] == [ + print(fastseek.keyframes) + assert list(fastseek.keyframes.keys()) == [1] + # There is one stream (id=1). Check that the first stream's keyframes are correct. + assert fastseek.keyframes[1].keyframes == [ KeyframeInfo(index=0, pts=0), KeyframeInfo(index=250, pts=128000), KeyframeInfo(index=500, pts=256000), @@ -93,10 +94,17 @@ def test_fastseek_mp4(self): KeyframeInfo(index=1500, pts=768000), KeyframeInfo(index=1750, pts=896000), ] - assert fastseek.keyframe_pts == { - 1: [0, 128000, 256000, 384000, 512000, 640000, 768000, 896000] - } - assert fastseek.frames_supported + assert fastseek.keyframes[1].keyframe_pts == [ + 0, + 128000, + 256000, + 384000, + 512000, + 640000, + 768000, + 896000, + ] + assert fastseek.frame_index_supported assert fastseek.mime == "video/mp4" assert fastseek.should_seek(0, 0) is None @@ -117,10 +125,30 @@ def test_fastseek_mp4(self): def test_fastseek_mkv(self): """Test fastseek.""" fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mkv").read_bytes())) - print(fastseek.keyframe_pts) - assert list(fastseek.keyframe_pts.keys()) == [1] - assert fastseek.keyframe_pts[1] == [0, 8354, 16688, 25021, 33354, 41688, 50021, 58354] - assert not fastseek.frames_supported + print(fastseek.keyframes) + assert list(fastseek.keyframes.keys()) == [1] + assert fastseek.keyframes[1].keyframe_pts == [ + 0, + 8354, + 16688, + 25021, + 33354, + 41688, + 50021, + 58354, + ] + assert fastseek.keyframes[1].keyframe_indexes is None + assert fastseek.keyframes[1].keyframes == [ + KeyframeInfo(index=-1, pts=0), + KeyframeInfo(index=-1, pts=8354), + KeyframeInfo(index=-1, pts=16688), + KeyframeInfo(index=-1, pts=25021), + KeyframeInfo(index=-1, pts=33354), + KeyframeInfo(index=-1, pts=41688), + KeyframeInfo(index=-1, pts=50021), + KeyframeInfo(index=-1, pts=58354), + ] + assert not fastseek.frame_index_supported assert fastseek.mime == "video/x-matroska" assert fastseek.get_next_keyframe_pts(0) == 8354 @@ -182,7 +210,9 @@ def test_verify_video_decode(self): all_timestamps.append(0.5 * (timestamps[0][0] + timestamps[0][1])) for frame, timestamp1, timestamp2 in zip( - [*range(5), *range(245, 255), *range(1881, 1891)], all_timestamps, all_timestamps[1:] + [float("inf")] + [*range(5), *range(245, 255), *range(1881, 1891)], + all_timestamps, + all_timestamps[1:] + [float("inf")], ): if frame in (4, 254): continue From 4eebc7b2c843096f253a6cc7caf670ef3a513bee Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 12 Dec 2025 18:09:54 +0100 Subject: [PATCH 65/80] Improve fastseek implementation. Implement comments --- src/megatron/energon/av/av_decoder.py | 42 ++- .../av/fastseek/containers/matroska.py | 4 +- .../energon/av/fastseek/containers/probe.py | 2 +- src/megatron/energon/av/fastseek/fastseek.py | 80 +++-- .../energon/av/fastseek/keyframeinfo.py | 6 +- src/megatron/energon/av/fastseek/reader.py | 123 +++++--- tests/test_av_decoder.py | 276 ++++++++++++++++-- 7 files changed, 426 insertions(+), 107 deletions(-) diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index a2e1ac65..34b76bcc 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -121,7 +121,7 @@ def get_video_clips( if video_unit == "frames": if self.seeker.frame_index_supported: reader = FastseekReaderByFrames(self.seeker, input_container) - else: + elif self.seeker.pts_supported: # Convert from frames to pts units video_clip_ranges = [ ( @@ -138,16 +138,38 @@ def get_video_clips( "Video container unit is frames, but seeking in time units. The resulting frames may be slightly off.", RuntimeWarning, ) + else: + raise ValueError("Video container does not support seeking in frames or PTS") elif video_unit == "seconds": - # Convert from seconds to frames - video_clip_ranges = [ - ( - clip[0] / time_base, - clip[1] / time_base, - ) - for clip in video_clip_ranges - ] - reader = FastseekReaderByPts(self.seeker, input_container) + if self.seeker.pts_supported: + # Convert from seconds to frames + video_clip_ranges = [ + ( + clip[0] / time_base, + clip[1] / time_base, + ) + for clip in video_clip_ranges + ] + reader = FastseekReaderByPts(self.seeker, input_container) + elif self.seeker.frame_index_supported: + # Convert from frames to pts units + video_clip_ranges = [ + ( + clip[0] * average_rate, + clip[1] * average_rate, + ) + for clip in video_clip_ranges + ] + reader = FastseekReaderByFrames(self.seeker, input_container) + video_unit = "frames" + + if not self.suppress_warnings: + warnings.warn( + "Video container unit is seconds, but seeking only supports frames. The resulting frames may be slightly off.", + RuntimeWarning, + ) + else: + raise ValueError("Video container does not support seeking in frames or PTS") else: raise ValueError(f"Invalid video unit: {video_unit!r}") diff --git a/src/megatron/energon/av/fastseek/containers/matroska.py b/src/megatron/energon/av/fastseek/containers/matroska.py index 55efecd1..bf93362c 100644 --- a/src/megatron/energon/av/fastseek/containers/matroska.py +++ b/src/megatron/energon/av/fastseek/containers/matroska.py @@ -9,7 +9,7 @@ class CueTrackPositions: - __slots__ = "track" + __slots__ = ("track",) track: int def __init__(self, el: MasterElement) -> None: @@ -45,7 +45,7 @@ def parse_matroska(file: BitsType) -> dict[int, list[KeyframeInfo]]: el = stack.pop() if el.name == "CuePoint": cue = CuePoint(el) - cues[cue.track_positions.track].append(KeyframeInfo(-1, cue.time)) + cues[cue.track_positions.track].append(KeyframeInfo(None, cue.time)) elif isinstance(el, MasterElement): stack.extend([c for c in el if c.name in ["Cues", "CuePoint"]]) diff --git a/src/megatron/energon/av/fastseek/containers/probe.py b/src/megatron/energon/av/fastseek/containers/probe.py index 478f76d1..e7cddf03 100644 --- a/src/megatron/energon/av/fastseek/containers/probe.py +++ b/src/megatron/energon/av/fastseek/containers/probe.py @@ -23,7 +23,7 @@ def parse_probe(file: BitsType) -> dict[int, list[KeyframeInfo]]: keyframes[stream.id] = [ KeyframeInfo(index, p.pts) for index, p in enumerate(input_container.demux(video=stream_idx)) - if p.is_keyframe and p.pts is not None + if p.is_keyframe ] return keyframes diff --git a/src/megatron/energon/av/fastseek/fastseek.py b/src/megatron/energon/av/fastseek/fastseek.py index 7a3051a8..99c566bd 100644 --- a/src/megatron/energon/av/fastseek/fastseek.py +++ b/src/megatron/energon/av/fastseek/fastseek.py @@ -12,24 +12,37 @@ class StreamInfo: - """Information about a video stream.""" + """Keyframe information about a video stream.""" __slots__ = ("id", "keyframe_pts", "keyframe_indexes", "keyframes") #: The stream id. id: int - #: The PTS times of the keyframes, sorted by PTS. - keyframe_pts: list[int] #: The keyframes, sorted by frame index. keyframes: list[KeyframeInfo] + #: The PTS times of the keyframes, sorted by PTS. + keyframe_pts: list[int] | None #: The frame indexes of the keyframes if access by keyframes is allowed. keyframe_indexes: list[int] | None - def __init__(self, id: int, keyframes: list[KeyframeInfo], has_frame_index: bool) -> None: + def __init__(self, id: int, keyframes: list[KeyframeInfo]) -> None: + """Initialize the StreamInfo object. Given an unsorted list of KeyframeInfos, it provides attributes to access those sorted by PTS or by frame index. + + Args: + id: The stream id. + keyframes: The list of KeyframeInfos. + has_frame_index: Whether frame indexes are supported for this container. + """ self.id = id - self.keyframes = sorted(keyframes, key=lambda x: (x.index, x.pts)) - self.keyframe_pts = sorted(x.pts for x in keyframes) - self.keyframe_indexes = [x.index for x in self.keyframes] if has_frame_index else None + self.keyframes = sorted(keyframes, key=lambda x: (x.index or -1, x.pts or -1)) + if all(x.pts is None for x in keyframes): + self.keyframe_pts = None + else: + self.keyframe_pts = sorted(x.pts for x in keyframes if x.pts is not None) + if all(x.index is None for x in keyframes): + self.keyframe_indexes = None + else: + self.keyframe_indexes = [x.index for x in self.keyframes if x.index is not None] def __repr__(self) -> str: return f"StreamInfo(id={self.id}, keyframe_pts={self.keyframe_pts}, keyframe_indexes={self.keyframe_indexes}, keyframes={self.keyframes})" @@ -57,9 +70,11 @@ class Fastseek: #: List of stream ids for indexed access. streams: list[int] #: Whether frame indexes are supported for this container. - #: If False, access is only possible by PTS. - #: If True, supports both PTS and frame indexes. + #: If True, supports frame index access. frame_index_supported: bool + #: Whether PTS are supported for this container. + #: If True, supports PTS access. + pts_supported: bool #: MIME type of the container. mime: str @@ -73,7 +88,6 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: """ if force_probe: keyframes = parse_probe(file) - self.frame_index_supported = True else: ftype = filetype.guess(file) @@ -84,12 +98,10 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: self.mime = ftype.mime - if ftype.mime in ["video/x-matroska", "video/webm"]: + if ftype.mime in ("video/x-matroska", "video/webm"): keyframes = parse_matroska(file) - self.frame_index_supported = False else: keyframes = parse_probe(file) - self.frame_index_supported = True if len(keyframes) == 0: raise ValueError( @@ -101,10 +113,13 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: f"The parser for {ftype.mime} was unable to find any keyframes (hint: try passing probe=True to the Fastseek constructor)" ) - self.keyframes = { - k: StreamInfo(k, keyframes, self.frame_index_supported) - for k, keyframes in keyframes.items() - } + self.keyframes = {k: StreamInfo(k, keyframes) for k, keyframes in keyframes.items()} + self.frame_index_supported = any( + stream.keyframe_indexes is not None for stream in self.keyframes.values() + ) + self.pts_supported = any( + stream.keyframe_pts is not None for stream in self.keyframes.values() + ) self.streams = list(self.keyframes.keys()) def should_seek( @@ -159,6 +174,8 @@ def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> Keyframe if stream >= len(self.streams): raise ValueError(f"No stream with index {stream}") + assert self.frame_index_supported, "Frame indexes are not supported for this container" + stream_id = self.streams[stream] stream_info = self.keyframes[stream_id] @@ -175,29 +192,36 @@ def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> Keyframe ) return stream_info.keyframes[max(0, nearest_iframe_to_target_index)] - def get_next_keyframe_pts(self, current_frame_pts: int, stream: int = 0) -> int: - """Find the PTS of the next keyframe after the current frame. + def seek_to_pts(self, current_pts: int, target_pts: int, stream: int = 0) -> int | None: + """ + Find the nearest keyframe that comes before the target frame index and return its PTS. Args: - current_frame_pts: The PTS of the current frame. + current_pts: The PTS of the current frame to be decoded. + target_pts: The target PTS to seek to. stream: The video stream index to use. Defaults to 0. Used when the container has multiple video streams. Returns: - The PTS of the next keyframe after the current frame. - If no next keyframe is found, returns float("inf"). + The PTS of the nearest keyframe at or before the target PTS. + If no such keyframe is found, returns None. """ - if stream >= len(self.streams): raise ValueError(f"No stream with index {stream}") + assert self.pts_supported, "PTS are not supported for this container" + stream_id = self.streams[stream] stream_info = self.keyframes[stream_id] - if len(stream_info.keyframe_pts) == 0: + if stream_info.keyframe_pts is None or len(stream_info.keyframe_pts) == 0: raise ValueError(f"No keyframes found for stream {stream}") - pos = bisect_right(stream_info.keyframe_pts, current_frame_pts) - if pos == len(stream_info.keyframe_pts): - return float("inf") - return stream_info.keyframe_pts[pos] + pos = bisect_right(stream_info.keyframe_pts, target_pts) - 1 + keyframe_pts = stream_info.keyframe_pts[max(0, pos)] + + return ( + keyframe_pts + if (current_pts < keyframe_pts <= target_pts) or (target_pts < current_pts) + else None + ) diff --git a/src/megatron/energon/av/fastseek/keyframeinfo.py b/src/megatron/energon/av/fastseek/keyframeinfo.py index e064ebe6..7b9bd0b6 100644 --- a/src/megatron/energon/av/fastseek/keyframeinfo.py +++ b/src/megatron/energon/av/fastseek/keyframeinfo.py @@ -15,5 +15,7 @@ class KeyframeInfo: """ - index: int - pts: int + #: The index of the keyframe. If None, the keyframe is not indexed by frame number. + index: int | None + #: The PTS of the keyframe. If None, the keyframe is not indexed by PTS. + pts: int | None diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index 166af10f..2ab7394c 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -2,8 +2,11 @@ # SPDX-License-Identifier: BSD-3-Clause from abc import ABC, abstractmethod from collections.abc import Generator +from typing import Iterator import av +import av.container +import av.stream from .fastseek import Fastseek @@ -11,6 +14,17 @@ class FastseekReader(ABC): """A class that provides a interface for reading video frames from a video stream for frame range extraction.""" + #: The Fastseek object to use for seeking. + seeker: Fastseek + #: The input container to read from. + input_container: av.container.InputContainer + #: The iterator over the video frames. + frame_iterator: Iterator[av.VideoFrame] + #: The video stream to read from. + stream: av.stream.Stream + #: Number of frames skipped by the reader. For statistical purposes. + skipped: int + def __init__( self, seeker: Fastseek, input_container: av.container.InputContainer, stream_idx: int = 0 ) -> None: @@ -35,12 +49,11 @@ def seek_read( ) -> Generator[av.VideoFrame, None, None]: """ Read video frames from the video stream for the given range. - Subsequent calls to this method must be called with increasing range_start/range_end values, - i.e. range_start(call i) <= range_end(call i) <= range_start(call i+1). + `range_start <= range_end` must hold. If `range_start == range_end` and within the video range, one frame is returned. Args: range_start: The start of the range to read from. The type of the range is defined by the subclass. - range_end: The end of the range to read from. The type of the range is defined by the subclass. + range_end: The end of the range to read from. The type of the range is defined by the subclass. If None, the range goes to the end of the video. This is inclusive! Returns: A generator of video frames. @@ -51,70 +64,92 @@ def seek_read( class FastseekReaderByFrames(FastseekReader): """A video frame reader that seeks by frame index.""" - next_frame_index: int = 0 - last_frame: av.VideoFrame | None = None + #: The next frame index that would be returned by the iterator. + _next_frame_index: int = 0 + #: The previous frame that was returned by the iterator. + _previous_frame: av.VideoFrame | None = None def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: - frame_info = self.seeker.should_seek(self.next_frame_index, range_start) - if frame_info is not None: - self.input_container.seek(frame_info.pts, stream=self.stream) - self.next_frame_index = frame_info.index - next_idx = self.next_frame_index + if ( + keyframe_info := self.seeker.should_seek(self._next_frame_index - 1, range_start) + ) is not None: + seek_pts = keyframe_info.pts + if seek_pts is None: + # input_container.seek should seek to the nearest keyframe, which should be the requested one. + seek_pts = range_start + self.input_container.seek(seek_pts, stream=self.stream) + assert keyframe_info.index is not None, "Frame index is required for this container" + self._next_frame_index = keyframe_info.index + frame = None + else: + frame = self._previous_frame + # Skip the frames between the keyframe / previous frame and the requested range_start. + next_idx = self._next_frame_index for next_idx, frame in zip( - range(self.next_frame_index + 1, range_start + 1), self.frame_iterator + range(self._next_frame_index + 1, range_start + 1), self.frame_iterator ): # print(f"Skip frame {next_idx - 1} at {frame.pts} +{frame.duration}") pass - self.skipped += next_idx - self.next_frame_index - self.next_frame_index = next_idx + self.skipped += next_idx - self._next_frame_index + self._next_frame_index = next_idx - frame = self.last_frame - if frame is not None and self.next_frame_index == range_start: - # Repeat the previous frame. This is allowed. + if frame is not None and self._next_frame_index - 1 == range_start: + # Repeat the previous frame. yield frame - if range_end is not None and self.next_frame_index > range_end: - # Special case: User requested the last frame, not more. + if range_end == range_start: + # Special case: User requested the last frame again, not more. return for frame in self.frame_iterator: - self.next_frame_index += 1 + self._next_frame_index += 1 + self._previous_frame = frame yield frame - if range_end is not None and self.next_frame_index > range_end: + if range_end is not None and self._next_frame_index > range_end: break - self.last_frame = frame class FastseekReaderByPts(FastseekReader): """A video frame reader that seeks by PTS.""" - next_frame_pts: int = 0 - next_keyframe_pts: int = 0 - last_frame: av.VideoFrame | None = None + #: The PTS of the next frame that would be returned by the iterator. + _next_frame_pts: int = 0 + #: The previous frame that was returned by the iterator. + _previous_frame: av.VideoFrame | None = None def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: - if self.next_keyframe_pts < range_start: + if (seek_pts := self.seeker.seek_to_pts(self._next_frame_pts, range_start)) is not None: + # Seeking backward or forward beyond the next keyframe # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") - self.input_container.seek(range_start, stream=self.stream) - skipped = 0 - frame = self.last_frame - if frame is not None and range_start < (frame.pts + frame.duration): - # Repeat the previous frame. This is allowed. - yield frame - if range_end is not None and (frame.pts + frame.duration) >= range_end: - # Special case: User requested the last frame, not more. - return - for frame in self.frame_iterator: - if range_start >= (frame.pts + frame.duration): + self.input_container.seek(seek_pts, stream=self.stream) + self._next_frame_pts = seek_pts + frame = None + else: + frame = self._previous_frame + # Skip frames before start + if frame is None or range_start >= (frame.pts + frame.duration): + skipped = 0 + for frame in self.frame_iterator: + if range_start < (frame.pts + frame.duration): + break skipped += 1 - continue - yield frame - if range_end is not None and (frame.pts + frame.duration) >= range_end: + self.skipped += skipped + if frame is not None: + self._next_frame_pts = frame.pts + self._previous_frame = frame + if frame is None: + # No frame available + return + # Yield at least the current frame. It's after the start. + yield frame + while range_end is None or (frame.pts + frame.duration) <= range_end: + try: + frame = next(self.frame_iterator) + except StopIteration: break - self.last_frame = frame - self.next_frame_pts = frame.pts + frame.duration - self.next_keyframe_pts = self.seeker.get_next_keyframe_pts(frame.pts + frame.duration) - # print(f"Next keyframe for {frame.pts + frame.duration} is {self.pts[max(0, bs-1): bs+2]} at {bs}") - self.skipped += skipped + # Store the current frame's PTS, because we can still access that frame! + self._next_frame_pts = frame.pts + self._previous_frame = frame + yield frame diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index 4a8fe9e1..e7066a6d 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -20,6 +20,10 @@ from megatron.energon.av import AVDecoder, get_clips_uniform, get_single_frames_uniform from megatron.energon.av.fastseek.fastseek import Fastseek from megatron.energon.av.fastseek.keyframeinfo import KeyframeInfo +from megatron.energon.av.fastseek.reader import ( + FastseekReaderByFrames, + FastseekReaderByPts, +) from megatron.energon.media import AVMetadata # Set multiprocessing start method to 'spawn' on macOS to avoid DataLoader cleanup issues @@ -81,6 +85,9 @@ class TestFastseek(unittest.TestCase): def test_fastseek_mp4(self): """Test fastseek.""" fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mp4").read_bytes())) + assert fastseek.mime == "video/mp4" + assert fastseek.frame_index_supported + assert fastseek.pts_supported print(fastseek.keyframes) assert list(fastseek.keyframes.keys()) == [1] # There is one stream (id=1). Check that the first stream's keyframes are correct. @@ -104,9 +111,8 @@ def test_fastseek_mp4(self): 768000, 896000, ] - assert fastseek.frame_index_supported - assert fastseek.mime == "video/mp4" + # Going forward assert fastseek.should_seek(0, 0) is None assert fastseek.should_seek(0, 249) is None assert fastseek.should_seek(0, 250) == KeyframeInfo(index=250, pts=128000) @@ -116,15 +122,26 @@ def test_fastseek_mp4(self): assert fastseek.should_seek(250, 499) is None assert fastseek.should_seek(250, 500) == KeyframeInfo(index=500, pts=256000) - assert fastseek.get_next_keyframe_pts(0) == 128000, ( - f"Expected 128000, got {fastseek.get_next_keyframe_pts(0)}" - ) - assert fastseek.get_next_keyframe_pts(127999) == 128000 - assert fastseek.get_next_keyframe_pts(128000) == 256000 + # Going backward + assert fastseek.should_seek(1, 0) == KeyframeInfo(index=0, pts=0) + assert fastseek.should_seek(249, 0) == KeyframeInfo(index=0, pts=0) + assert fastseek.should_seek(250, 0) == KeyframeInfo(index=0, pts=0) + + assert fastseek.seek_to_pts(0, 0) is None + assert fastseek.seek_to_pts(0, 1) is None + assert fastseek.seek_to_pts(0, 127999) is None + assert fastseek.seek_to_pts(128000, 128000) is None + assert fastseek.seek_to_pts(128000, 255999) is None + assert fastseek.seek_to_pts(0, 128000) == 128000 + assert fastseek.seek_to_pts(0, 256000) == 256000 + assert fastseek.seek_to_pts(128000, 256000) == 256000 def test_fastseek_mkv(self): """Test fastseek.""" fastseek = Fastseek(io.BytesIO(Path("tests/data/sync_test.mkv").read_bytes())) + assert fastseek.mime == "video/x-matroska" + assert not fastseek.frame_index_supported + assert fastseek.pts_supported print(fastseek.keyframes) assert list(fastseek.keyframes.keys()) == [1] assert fastseek.keyframes[1].keyframe_pts == [ @@ -139,21 +156,240 @@ def test_fastseek_mkv(self): ] assert fastseek.keyframes[1].keyframe_indexes is None assert fastseek.keyframes[1].keyframes == [ - KeyframeInfo(index=-1, pts=0), - KeyframeInfo(index=-1, pts=8354), - KeyframeInfo(index=-1, pts=16688), - KeyframeInfo(index=-1, pts=25021), - KeyframeInfo(index=-1, pts=33354), - KeyframeInfo(index=-1, pts=41688), - KeyframeInfo(index=-1, pts=50021), - KeyframeInfo(index=-1, pts=58354), + KeyframeInfo(index=None, pts=0), + KeyframeInfo(index=None, pts=8354), + KeyframeInfo(index=None, pts=16688), + KeyframeInfo(index=None, pts=25021), + KeyframeInfo(index=None, pts=33354), + KeyframeInfo(index=None, pts=41688), + KeyframeInfo(index=None, pts=50021), + KeyframeInfo(index=None, pts=58354), ] - assert not fastseek.frame_index_supported - assert fastseek.mime == "video/x-matroska" - assert fastseek.get_next_keyframe_pts(0) == 8354 - assert fastseek.get_next_keyframe_pts(8353) == 8354 - assert fastseek.get_next_keyframe_pts(8354) == 16688 + assert fastseek.seek_to_pts(0, 0) is None + assert fastseek.seek_to_pts(0, 8353) is None + assert fastseek.seek_to_pts(8350, 8353) is None + assert fastseek.seek_to_pts(8354, 16687) is None + assert fastseek.seek_to_pts(0, 8354) == 8354 + assert fastseek.seek_to_pts(0, 8355) == 8354 + assert fastseek.seek_to_pts(0, 16688) == 16688 + assert fastseek.seek_to_pts(1, 0) == 0 + assert fastseek.seek_to_pts(10000, 0) == 0 + assert fastseek.seek_to_pts(10000, 8354) == 8354 + assert fastseek.seek_to_pts(10000, 8355) == 8354 + + def test_fastseek_reader_mp4(self): + """Test fastseek reader.""" + with open("tests/data/sync_test.mp4", "rb") as f: + fastseek = Fastseek(f) + f.seek(0) + with av.open(f, mode="r") as container: + reader = FastseekReaderByFrames(fastseek, container) + + frames = list(reader.seek_read(0, 1)) + assert len(frames) == 2 + assert frames[0].time == 0 + assert frames[1].time == 1 / 30 + assert reader.skipped == 0 + + # Read more frames, repeating the previous frame + frames = list(reader.seek_read(1, 2)) + assert len(frames) == 2, len(frames) + assert frames[0].time == 1 / 30 + assert frames[1].time == 2 / 30 + assert reader.skipped == 0 + + # Read next frame + frames = list(reader.seek_read(3, 3)) + assert len(frames) == 1, len(frames) + assert frames[0].time == 3 / 30 + assert reader.skipped == 0 + + # Seek to last frame before next keyframe + frames = list(reader.seek_read(249, 249)) + assert len(frames) == 1, len(frames) + assert frames[0].time == 249 / 30 + # Skipped frames 4-248 (inclusive) + assert reader.skipped == 245, reader.skipped + + reader.skipped = 0 + + # Seek through keyframe, repeating the previous frame + frames = list(reader.seek_read(249, 250)) + assert len(frames) == 2, len(frames) + assert frames[0].time == 249 / 30 + assert frames[1].time == 250 / 30 + assert reader.skipped == 0, reader.skipped + + reader.skipped = 0 + + # Seek to next keyframe + frames = list(reader.seek_read(500, 500)) + assert len(frames) == 1, len(frames) + assert frames[0].time == 500 / 30 + assert reader.skipped == 0, reader.skipped + + # Seek backwards 1 frame, but need previous keyframe + frames = list(reader.seek_read(499, 499)) + assert len(frames) == 1, len(frames) + assert frames[0].time == 499 / 30 + # Skipped frames 250-498 (inclusive) + assert reader.skipped == 249, reader.skipped + + reader.skipped = 0 + + # Seek to previous keyframe + frames = list(reader.seek_read(498, 498)) + assert len(frames) == 1, len(frames) + assert frames[0].time == 498 / 30 + # Skipped frames 250-497 (inclusive) + assert reader.skipped == 248, reader.skipped + + f.seek(0) + with av.open(f, mode="r") as container: + reader = FastseekReaderByPts(fastseek, container) + + # 512 PTS per frame + + frames = list(reader.seek_read(0, 1023)) + assert len(frames) == 2, len(frames) + assert frames[0].pts == 0 + assert frames[0].duration == 512 + assert frames[1].pts == 512 + assert frames[1].duration == 512 + assert reader.skipped == 0 + + frames = list(reader.seek_read(512, 3 * 512 - 1)) + assert len(frames) == 2, len(frames) + assert frames[0].time == 1 / 30 + assert frames[1].time == 2 / 30 + assert frames[0].pts == 512 + assert frames[1].pts == 1024 + assert reader.skipped == 0 + + frames = list(reader.seek_read(249 * 512, 249 * 512)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 249 * 512 + # Skipped frames 2-248 (inclusive) + assert reader.skipped == 246 + + reader.skipped = 0 + + frames = list(reader.seek_read(249 * 512, 250 * 512)) + assert len(frames) == 2, len(frames) + assert frames[0].pts == 249 * 512 + assert frames[1].pts == 250 * 512 + assert reader.skipped == 0 + + def test_fastseek_reader_mkv(self): + """Test fastseek reader.""" + with open("tests/data/sync_test.mkv", "rb") as f: + fastseek = Fastseek(f) + f.seek(0) + with av.open(f, mode="r") as container: + # Note: This video has frames of 33 PTS duration, + # But the time for the next frame increases by 54, 34, 12, 54, 34, 33 + # (afterwards by [33, 33, 34], repeating) + # last_pts = 0 + # for idx, frame in enumerate(container.decode(video=0)): + # print(f"+{frame.pts - last_pts}") + # last_pts = frame.pts + # print(f"{idx}: {frame.pts}+{frame.duration} {'KF' if frame.key_frame else ''}") + # if idx > 500: + # break + reader = FastseekReaderByPts(fastseek, container) + + """ + Frame 1 and 2 actually overlap + 0: 0+33 KF + +54 + 1: 54+33 + +34 + 2: 88+33 + +12 + 3: 100+33 + +54 + 4: 154+33 + +34 + 5: 188+33 + + 247: 8254+33 + +34 + 248: 8288+33 + +33 + 249: 8321+33 + +33 + 250: 8354+33 KF + +34 + 251: 8388+33 + +33 + 252: 8421+33 + +33 + 253: 8454+33 + """ + + # Frame 0, 1 + frames = list(reader.seek_read(0, 85)) + assert len(frames) == 2, len(frames) + assert frames[0].pts == 0 + assert frames[1].pts == 54 + assert reader.skipped == 0 + + # Frame 1, 2 + frames = list(reader.seek_read(85, 103)) + assert len(frames) == 2, len(frames) + assert frames[0].pts == 54 + assert frames[1].pts == 88 + assert reader.skipped == 0 + + # Frame 2 + frames = list(reader.seek_read(100, 100)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 88 + assert reader.skipped == 0 + + # Frame 3 (overlaps with frame 2) + frames = list(reader.seek_read(132, 132)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 100 + assert reader.skipped == 0 + + # Frame 249 + frames = list(reader.seek_read(8321, 8321)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 8321 + # Skipped frames 4-248 (inclusive) + assert reader.skipped == 245 + + reader.skipped = 0 + + # Frame 249 + frames = list(reader.seek_read(8353, 8353)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 8321 + assert reader.skipped == 0 + + # Frame 249-251 + frames = list(reader.seek_read(8353, 8388)) + assert len(frames) == 3, len(frames) + assert frames[0].pts == 8321 + assert frames[1].pts == 8354 + assert frames[2].pts == 8388 + assert reader.skipped == 0 + + # Frame 0 (go backwards and skip 1 frame) + frames = list(reader.seek_read(85, 85)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 54 + assert reader.skipped == 1 + + reader.skipped = 0 + + # Frame 251 (seek to keyframe 250 and skip 1 frame) + frames = list(reader.seek_read(8388, 8388)) + assert len(frames) == 1, len(frames) + assert frames[0].pts == 8388 + assert reader.skipped == 1 class TestVideoDecode(unittest.TestCase): From 6b6f9a2185bb5501fc4bea89a2ecacf5e98b7c03 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 15 Dec 2025 12:07:01 +0100 Subject: [PATCH 66/80] Fix end-of-video handling --- src/megatron/energon/av/fastseek/reader.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index 2ab7394c..95f45b25 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -135,6 +135,9 @@ def seek_read( if range_start < (frame.pts + frame.duration): break skipped += 1 + else: + # Out of the end of the video + frame = None self.skipped += skipped if frame is not None: self._next_frame_pts = frame.pts From 17e3aa0d97c4ca2af78b384cabc0bed63a4a983a Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Mon, 15 Dec 2025 15:40:23 +0100 Subject: [PATCH 67/80] Remove mpeg custom frame seeking --- .../energon/av/fastseek/containers/mpeg.py | 240 ------------------ 1 file changed, 240 deletions(-) delete mode 100644 src/megatron/energon/av/fastseek/containers/mpeg.py diff --git a/src/megatron/energon/av/fastseek/containers/mpeg.py b/src/megatron/energon/av/fastseek/containers/mpeg.py deleted file mode 100644 index aca656e5..00000000 --- a/src/megatron/energon/av/fastseek/containers/mpeg.py +++ /dev/null @@ -1,240 +0,0 @@ -# Copyright (c) 2025, NVIDIA CORPORATION. -# SPDX-License-Identifier: BSD-3-Clause -from collections import defaultdict -from itertools import accumulate -from typing import Any, Generator - -from bitstring import ConstBitStream, Error -from bitstring.bits import BitsType - -from ..keyframeinfo import KeyframeInfo - -box_atoms = {"moov", "trak", "mdia", "minf", "stbl", "edts"} # Non-exhaustive - - -def parse_table(cbs: ConstBitStream, table_size: int, struct: dict[str, str]) -> dict[str, Any]: - return [ - dict(zip(struct.keys(), cbs.readlist(", ".join(struct.values())))) - for _ in range(table_size) - ] - - -class Atom: - skip_version_and_flags: bool = False - - @staticmethod - def make_atom(cbs: ConstBitStream) -> "Atom": - size: int = cbs.read("uint:32") - name: str = cbs.read("bytes:4").decode("ascii") - box: bool = name in box_atoms - - if size == 0: - raise RuntimeError( - "MPEG parser detected a zero byte atom, this likely indicates a corrupt video." - ) - - subclass_list = [c for c in Atom.__subclasses__() if c.__name__ == name.upper()] - atom_class: type = Atom - if len(subclass_list) > 0: - atom_class: type = subclass_list[0] - cbs.bytepos += 4 # Skip version and flags TODO not every atom needs this - - atom = atom_class(size, name, box) - atom._parse(cbs) - - return atom - - def __init__(self, size: int, name: str, box: bool) -> None: - self.size: int = size - self.name: str = name - self.box: bool = box - - def _parse(self, cbs: ConstBitStream) -> None: - if not self.box: - cbs.bytepos += self.size - 8 - - def __str__(self) -> str: - return f"{self.name=}, {self.size=}, {self.box=}" - - -class TKHD(Atom): - """ - Parses the track header atom, see https://developer.apple.com/documentation/quicktime-file-format/track_header_atom - """ - - def _parse(self, cbs: ConstBitStream) -> None: - cbs.bytepos += 8 # skip creation time and modification time - self.track_id: int = cbs.read("uint:32") - cbs.bytepos += 68 # Skip rest of structure - - -class HDLR(Atom): - """ - Parses the media handler atom, see https://developer.apple.com/documentation/quicktime-file-format/handler_reference_atom - - NOTE: currently unused but could speed up parsing by skipping audio tracks - """ - - def _parse(self, cbs: ConstBitStream) -> None: - self.component_type = cbs.read("bytes:4").decode("ascii") - self.component_subtype = cbs.read("bytes:4").decode("ascii") - - # Skip rest of structure, the last field is variable so we need to use the total size - # 24 bytes already read (size (4), type (4), version (1), flags (3), component type (4), component subtype (4)) - cbs.bytepos += self.size - 20 - - -class STSS(Atom): - """ - Parses the sync sample atom https://developer.apple.com/documentation/quicktime-file-format/sample_table_atom/sync_sample_atom - """ - - def _parse(self, cbs: ConstBitStream) -> None: - self.number_of_entries: int = cbs.read("uint:32") - self.sync_sample_table: dict[str, Any] = parse_table( - cbs, self.number_of_entries, {"number": "uint:32"} - ) - - -class STTS(Atom): - """ - Parses the time to sample atom https://developer.apple.com/documentation/quicktime-file-format/time-to-sample_atom - """ - - def _parse(self, cbs: ConstBitStream) -> None: - self.number_of_entries: int = cbs.read("uint:32") - self.time_to_sample_table: dict[str, Any] = parse_table( - cbs, - self.number_of_entries, - {"sample_count": "uint:32", "sample_duration": "uint:32"}, - ) - - -class CTTS(Atom): - """ - Parses the composition offset atom https://developer.apple.com/documentation/quicktime-file-format/composition_offset_atom - """ - - def _parse(self, cbs: ConstBitStream) -> None: - self.number_of_entries: int = cbs.read("uint:32") - self.composition_offset_table: dict[str, Any] = parse_table( - cbs, - self.number_of_entries, - { - "sample_count": "uint:32", - "composition_offset": "int:32", - "media_rate": "", - }, - ) - - -class ELST(Atom): - """ - Parses the edit list atom https://developer.apple.com/documentation/quicktime-file-format/edit_list_atom - """ - - def _parse(self, cbs: ConstBitStream) -> None: - self.number_of_entries: int = cbs.read("uint:32") - self.edit_list_table: dict[str, Any] = parse_table( - cbs, - self.number_of_entries, - { - "track_duration": "uint:32", - "media_time": "int:32", - "media_rate": "int:32", - }, - ) - - -class MDAT(Atom): - """ - Parses the media data atom https: https://developer.apple.com/documentation/quicktime-file-format/movie_data_atom - - This is only here to handle the unusual size handling of mdat, if the normal size field is set to 1 - then the actual size is stored as a 64 bit integer - """ - - def _parse(self, cbs: ConstBitStream) -> None: - if self.size == 1: - cbs.bytepos -= 4 # No version or flags for mdat - self.size = cbs.read("uint:64") - seekto = self.size - 16 - else: - seekto = self.size - 12 - - if cbs.bytepos + seekto >= (cbs.len / 8): - raise StopIteration() - - cbs.bytepos += seekto - - -def parse_atoms(file: BitsType) -> Generator[Atom, None, None]: - try: - cbs = ConstBitStream(file) - while cbs.pos < len(cbs): - try: - yield Atom.make_atom(cbs) - except StopIteration: - return - except Error as e: - raise ValueError(f"MPEG parsing failed with error {e}") - - -def parse_mpeg(file: BitsType) -> dict[int, list[KeyframeInfo]]: - sync_samples = {} - decode_timestamps = {} - presentation_time_offsets = {} - start_offsets = defaultdict(int) - current_track = -1 - for a in parse_atoms(file): - if a.name == "tkhd": - a: TKHD - current_track = a.track_id - elif a.name == "stts": - a: STTS - decode_timestamps[current_track] = list( - accumulate( - sum( - [ - [entry["sample_duration"]] * entry["sample_count"] - for entry in a.time_to_sample_table - ], - [0], - ) - ) - ) - elif a.name == "ctts": - a: CTTS - presentation_time_offsets[current_track] = sum( - [ - [entry["composition_offset"]] * entry["sample_count"] - for entry in a.composition_offset_table - ], - [], - ) - elif a.name == "stss": - a: STSS - sync_samples[current_track] = [ss["number"] - 1 for ss in a.sync_sample_table] - elif a.name == "elst": - # NOTE the "media_time" here is a "delay" between decoding and presenting the first sample. - # We follow the ffmpeg convention that the first frame displays at time 0 which means we should - # *subtract* this offset from the decoding time values rather than adding it to presentation time values - # TODO there can be more than one of these, figure out how to handle it - a: ELST - start_offsets[current_track] = -a.edit_list_table[0]["media_time"] - keyframes = defaultdict(list) - try: - for track_id in sync_samples.keys(): - ptos = presentation_time_offsets.get(track_id) - dts = decode_timestamps[track_id] - for keyframe_number in sync_samples[track_id]: - pts = ( - dts[keyframe_number] - + start_offsets[track_id] - + (0 if ptos is None else ptos[keyframe_number]) - ) - keyframes[track_id].append(KeyframeInfo(keyframe_number, pts)) - except (KeyError, IndexError) as e: - raise ValueError(f"MPEG parsing failed with error {e}") - - return keyframes From 2f00a49ab3f4d61ae9423459a8c9ae2e2faabe48 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 16 Dec 2025 09:46:01 +0100 Subject: [PATCH 68/80] Fix aggregator pool on mac not using fork. --- .../flavors/webdataset/aggregator_pool.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/aggregator_pool.py b/src/megatron/energon/flavors/webdataset/aggregator_pool.py index 802669e7..803e2414 100644 --- a/src/megatron/energon/flavors/webdataset/aggregator_pool.py +++ b/src/megatron/energon/flavors/webdataset/aggregator_pool.py @@ -143,11 +143,17 @@ def process(self) -> T_result: """ workers: List[multiprocessing.Process] = [] - # Start worker processes - for w_id in range(self.num_workers): - p = multiprocessing.Process(target=self._worker, args=(w_id,), daemon=True) - p.start() - workers.append(p) + # Only works with forking for now because we pass self to the worker processes. + orig_start_method = multiprocessing.get_start_method() + multiprocessing.set_start_method("fork", force=True) + try: + # Start worker processes + for w_id in range(self.num_workers): + p = multiprocessing.Process(target=self._worker, args=(w_id,), daemon=True) + p.start() + workers.append(p) + finally: + multiprocessing.set_start_method(orig_start_method, force=True) # Send the sentinel (None) to each worker for _ in range(self.num_workers): From 51bdc85f4038269e1f50102b6c94036a8f912831 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 16 Dec 2025 09:54:34 +0100 Subject: [PATCH 69/80] Implement prepare non-interactive --- src/megatron/energon/tools/prepare.py | 274 +++++++++++++++++++------- tests/test_dataset.py | 28 +++ 2 files changed, 226 insertions(+), 76 deletions(-) diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index bfcea5d6..84c6e5bd 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -148,6 +148,36 @@ def printify_json(data: Any) -> Any: help="Fix duplicate keys in the dataset.", is_flag=True, ) +@click.option( + "--non-interactive", + help="If set, the prepare will not ask for interactive input.", + is_flag=True, +) +@click.option( + "--split-ratio", + help="Train/val/test split ratio in the form '0.8,0.1,0.1' or '8,1,1'. Required for non-interactive mode unless --split-parts or --tar-index-only is used.", + default=None, +) +@click.option( + "--force-overwrite", + help="Overwrite existing dataset preparation without confirmation.", + is_flag=True, +) +@click.option( + "--skip-dataset-yaml", + help="Skip dataset.yaml creation (i.e. no sample loader or dataset.yaml will be created).", + is_flag=True, +) +@click.option( + "--sample-type", + help="Sample type class name (e.g., 'CaptioningSample', 'CrudeWebdataset'). Required for non-interactive dataset.yaml creation if creating the dataset.yaml.", + default=None, +) +@click.option( + "--field-map", + help='Field mapping in JSON format (e.g., \'{"image": "jpg", "caption": "txt"}\'). If not set in non-interactive mode, a sample loader from template will be created. Use with --sample-type. Only applies if sample_type is not set to CrudeWebdataset.', + default=None, +) def command( path: EPath, progress: bool, @@ -160,6 +190,12 @@ def command( media_metadata_by_header: bool, media_metadata_by_extension: bool, fix_duplicates: bool, + non_interactive: bool, + split_ratio: Optional[str], + force_overwrite: bool, + sample_type: Optional[str], + field_map: Optional[str], + skip_dataset_yaml: bool, ): """Prepare WebDataset for use with energon. @@ -215,10 +251,18 @@ def command( all_tars = list(info["shard_counts"].keys()) else: if check_dataset_info_present(path): - if not click.confirm( - "It seems the dataset had already been prepared. Do you want to continue?" - ): - return + if force_overwrite: + # Silently continue if force_overwrite is set + pass + elif non_interactive: + raise click.ClickException( + "Dataset has already been prepared. Use --force-overwrite to overwrite." + ) + else: + if not click.confirm( + "It seems the dataset had already been prepared. Do you want to continue?" + ): + return all_tars = list(path.glob("**/*.tar")) + list(path.glob("**/*.tgz")) all_tars = [str(p.relative_to(path)) for p in sorted(all_tars)] @@ -244,9 +288,19 @@ def command( split_parts_patterns = [tuple(x.split(":", 1)) for x in split_parts] split_parts_ratio = None elif not tar_index_only: - split_input = click.prompt( - 'Please enter a desired train/val/test split like "0.5, 0.2, 0.3" or "8,1,1"', type=str - ) + if split_ratio is not None: + # Use the provided split_ratio flag + split_input = split_ratio + elif non_interactive: + raise click.ClickException( + "--split-ratio is required in non-interactive mode " + "(unless --split-parts or --tar-index-only is used)." + ) + else: + split_input = click.prompt( + 'Please enter a desired train/val/test split like "0.5, 0.2, 0.3" or "8,1,1"', + type=str, + ) # Extract split floats try: split = [float(x.strip()) for x in split_input.split(",")] @@ -315,7 +369,21 @@ def progress_fn(els, length=None): click.echo(f"Found the following part types in the dataset: {', '.join(found_types)}") allow_interactive_field_map = True - if click.confirm("Do you want to create a dataset.yaml interactively?", default=True): + # Determine if we should create dataset.yaml + should_create_yaml = False + if skip_dataset_yaml: + should_create_yaml = False + elif sample_type is not None: + should_create_yaml = True + elif non_interactive: + click.echo("Skipping dataset.yaml creation (use --sample-type to create it).") + should_create_yaml = False + else: + should_create_yaml = click.confirm( + "Do you want to create a dataset.yaml interactively?", default=True + ) + + if should_create_yaml: # Get a list of all classes in megatron.energon that are subclasses of WebdatasetBase import megatron.energon as data_import @@ -326,18 +394,34 @@ def progress_fn(els, length=None): ] display_name_and_class.append(("Crude sample (plain dict for cooking)", CrudeWebdataset)) - # Print all classes and ask user to pick one - click.echo("The following sample types are available:") - for i, (name, cls) in enumerate(display_name_and_class): - click.echo(f"{i}. {name}") - while True: - choice = click.prompt("Please enter a number to choose a class", type=int) - try: - _, cls = display_name_and_class[choice] - break - except IndexError: - click.echo("Invalid choice. Please try again.") - continue + # Find the class by name if sample_type is provided + cls = None + if sample_type is not None: + for name, candidate_cls in display_name_and_class: + if candidate_cls.__name__ == sample_type: + cls = candidate_cls + break + if cls is None: + available = "\n".join(f" - {c.__name__}" for _, c in display_name_and_class) + raise click.ClickException( + f"Sample type '{sample_type}' not found.\nAvailable sample types:\n{available}" + ) + elif non_interactive: + # This should not happen due to earlier checks, but just in case + raise click.ClickException("--sample-type is required in non-interactive mode.") + else: + # Print all classes and ask user to pick one + click.echo("The following sample types are available:") + for i, (name, candidate_cls) in enumerate(display_name_and_class): + click.echo(f"{i}. {name}") + while True: + choice = click.prompt("Please enter a number to choose a class", type=int) + try: + _, cls = display_name_and_class[choice] + break + except IndexError: + click.echo("Invalid choice. Please try again.") + continue if cls == CrudeWebdataset: click.echo( @@ -351,8 +435,9 @@ def progress_fn(els, length=None): "__class__": cls.__name__, } else: - click.echo("The sample type you selected:\n") - click.echo(inspect.getsource(cls)) + if not non_interactive: + click.echo("The sample type you selected:\n") + click.echo(inspect.getsource(cls)) dataset_definition = { "sample_type": { @@ -361,74 +446,111 @@ def progress_fn(els, length=None): }, } - if not allow_interactive_field_map: + if not allow_interactive_field_map and not non_interactive: click.echo( "You cannot set a field_map for this dataset. You will need a sample_loader." ) - if allow_interactive_field_map and click.confirm( + # Determine whether to use field_map or sample_loader + use_field_map = False + if field_map is not None: + use_field_map = True + elif non_interactive: + # In non-interactive mode without field_map, use sample_loader + use_field_map = False + elif allow_interactive_field_map and click.confirm( "Do you want to set a simple field_map[Y] (or write your own sample_loader [n])?", default=True, ): - click.echo( - "\nFor each field, please specify the corresponding name in the WebDataset." - ) - click.echo(f"Available types in WebDataset: {', '.join(found_types)}") - click.echo("Leave empty for skipping optional field") - click.echo( - "You may also access json fields e.g. by setting the field to: json[field][field]" - ) - click.echo("You may also specify alternative fields e.g. by setting to: jpg,png") - - click.echo(f"Please enter the field_map for {cls.__name__}:") - - dataset_definition["field_map"] = field_map = {} - for field in dataclasses.fields(cls): - if field.name in ( - "__key__", - "__restore_key__", - "__subflavors__", - "__sources__", - ): - continue - while True: - if ( - field.default is dataclasses.MISSING - and field.default_factory is dataclasses.MISSING + use_field_map = True + + if use_field_map: + if field_map is not None: + # Parse field_map from JSON string + try: + parsed_field_map = json.loads(field_map) + dataset_definition["field_map"] = parsed_field_map + except json.JSONDecodeError as e: + raise click.ClickException(f"Invalid JSON in --field-map: {e}") + elif non_interactive: + # This shouldn't happen due to earlier checks, but just in case + raise click.ClickException( + "--field-map is required when using field mapping in non-interactive mode." + ) + else: + click.echo( + "\nFor each field, please specify the corresponding name in the WebDataset." + ) + click.echo(f"Available types in WebDataset: {', '.join(found_types)}") + click.echo("Leave empty for skipping optional field") + click.echo( + "You may also access json fields e.g. by setting the field to: json[field][field]" + ) + click.echo( + "You may also specify alternative fields e.g. by setting to: jpg,png" + ) + + click.echo(f"Please enter the field_map for {cls.__name__}:") + + dataset_definition["field_map"] = field_map_dict = {} + for field in dataclasses.fields(cls): + if field.name in ( + "__key__", + "__restore_key__", + "__subflavors__", + "__sources__", ): - default = "" - elif field.default is not dataclasses.MISSING: - default = f", default: {field.default}" - elif field.default_factory is not dataclasses.MISSING: - default = f", default: {field.default_factory!r}" - else: - raise RuntimeError("This should never happen") - field_map[field.name] = input( - f"Please enter a webdataset field name for '{field.name}' " - f"({field.type}{default}): ", - ) - if not field_map[field.name] and default: - del field_map[field.name] - break - type_ok = True - for option in field_map[field.name].split(","): - field_name = option.split("[", 1)[0] - if field_name not in found_types: - click.echo( - "That type doesn't exist in the WebDataset. Please try again." - ) - type_ok = False - if type_ok: - break + continue + while True: + if ( + field.default is dataclasses.MISSING + and field.default_factory is dataclasses.MISSING + ): + default = "" + elif field.default is not dataclasses.MISSING: + default = f", default: {field.default}" + elif field.default_factory is not dataclasses.MISSING: + default = f", default: {field.default_factory!r}" + else: + raise RuntimeError("This should never happen") + field_map_dict[field.name] = input( + f"Please enter a webdataset field name for '{field.name}' " + f"({field.type}{default}): ", + ) + if not field_map_dict[field.name] and default: + del field_map_dict[field.name] + break + type_ok = True + for option in field_map_dict[field.name].split(","): + field_name = option.split("[", 1)[0] + if field_name not in found_types: + click.echo( + "That type doesn't exist in the WebDataset. Please try again." + ) + type_ok = False + if type_ok: + break else: if not allow_interactive_field_map: template_part_types = set(["TODO"]) else: template_part_types = found_types - if not (path / MAIN_FOLDER_NAME / "sample_loader.py").is_file() or click.confirm( - "Do you want to override the existing sample loader?" - ): + sample_loader_exists = (path / MAIN_FOLDER_NAME / "sample_loader.py").is_file() + + if not sample_loader_exists: + # Always create if it doesn't exist + should_create_sample_loader = True + elif non_interactive: + # In non-interactive mode, don't override existing file + should_create_sample_loader = False + else: + # In interactive mode, ask user + should_create_sample_loader = click.confirm( + "Do you want to override the existing sample loader?" + ) + + if should_create_sample_loader: with (path / MAIN_FOLDER_NAME / "sample_loader.py").open("w") as f: f.write( sample_loader_template( diff --git a/tests/test_dataset.py b/tests/test_dataset.py index 4c5992d0..ad0f796c 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -1743,6 +1743,34 @@ def test_prepare_dataset(self): assert result.exit_code == 0, "Prepare failed, see output" assert "Done" in result.stdout, "Prepare failed, see output" + def test_prepare_dataset_noninteractive(self): + runner = CliRunner() + result = runner.invoke( + prepare_command, + [ + str(self.dataset_path), + "--non-interactive", + "--force-overwrite", + "--split-ratio=1,0,0", + "--sample-type=CaptioningSample", + '--field-map={"image": "png", "caption": "txt"}', + ], + catch_exceptions=False, + ) + assert result.exit_code == 0, "Prepare failed, see output" + assert "Done" in result.stdout, "Prepare failed, see output" + + # Check failure with non-interactive mode + result = runner.invoke( + prepare_command, + [ + str(self.dataset_path), + "--non-interactive", + ], + catch_exceptions=True, + ) + assert result.exit_code == 1, "Prepare failed, see output" + def test_preview_captioning_dataset(self): runner = CliRunner() result = runner.invoke( From 8a0b7236226a9cabd98004085169f6d0cabdef1b Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 16 Dec 2025 10:04:25 +0100 Subject: [PATCH 70/80] Ensure we use forking for dataloader (even on mac) --- src/megatron/energon/savable_loader.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/megatron/energon/savable_loader.py b/src/megatron/energon/savable_loader.py index 06ce51ce..7eb55678 100644 --- a/src/megatron/energon/savable_loader.py +++ b/src/megatron/energon/savable_loader.py @@ -772,6 +772,7 @@ def __init__( if self.worker_config.num_workers > 0: kwargs["persistent_workers"] = True kwargs["prefetch_factor"] = prefetch_factor + kwargs["multiprocessing_context"] = "fork" # Assert that prefetch_factor works well with num_checkpoints. # This ensures that the oldest checkpoint is old enough to cover @@ -1272,6 +1273,7 @@ def __init__( # These must not be specified for num_workers =0 kwargs["persistent_workers"] = True kwargs["prefetch_factor"] = prefetch_factor + kwargs["multiprocessing_context"] = "fork" seed_per_worker = [ self.worker_config.worker_seed(i) for i in range(self.worker_config.num_workers) From ba6a0196e7db9158a07ef10e9fbab2e032e16e94 Mon Sep 17 00:00:00 2001 From: Salman Muin Kayser Chishti <13schishti@gmail.com> Date: Tue, 16 Dec 2025 12:12:41 +0000 Subject: [PATCH 71/80] Upgrade GitHub Actions for Node 24 compatibility --- .github/workflows/documentation.yml | 2 +- .github/workflows/license_headers.yml | 4 ++-- .github/workflows/release.yml | 2 +- .github/workflows/ruff.yml | 2 +- .github/workflows/tests.yml | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml index cd6eee42..358c06ba 100644 --- a/.github/workflows/documentation.yml +++ b/.github/workflows/documentation.yml @@ -21,7 +21,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv uses: astral-sh/setup-uv@v5 diff --git a/.github/workflows/license_headers.yml b/.github/workflows/license_headers.yml index d6c7dc61..f16e801b 100644 --- a/.github/workflows/license_headers.yml +++ b/.github/workflows/license_headers.yml @@ -15,9 +15,9 @@ jobs: steps: - name: Checkout Repository - uses: actions/checkout@v3 + uses: actions/checkout@v6 - name: Set up Python - uses: actions/setup-python@v5 + uses: actions/setup-python@v6 with: python-version: 3.9 - name: Install dependencies diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index e88d1c91..d539a5d3 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -15,7 +15,7 @@ jobs: id-token: write # This permission is mandatory for trusted publishing steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv uses: astral-sh/setup-uv@v5 diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml index 97de837b..287f770a 100644 --- a/.github/workflows/ruff.yml +++ b/.github/workflows/ruff.yml @@ -15,7 +15,7 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv uses: astral-sh/setup-uv@v5 diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index d0e18016..bf5c18bd 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -15,7 +15,7 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Install uv uses: astral-sh/setup-uv@v5 From af4c1a9aaef248da2996259c43928677753b6651 Mon Sep 17 00:00:00 2001 From: Salman Muin Kayser Chishti <13schishti@gmail.com> Date: Tue, 16 Dec 2025 12:12:46 +0000 Subject: [PATCH 72/80] Upgrade GitHub Actions to latest versions --- .github/workflows/documentation.yml | 2 +- .github/workflows/release.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml index cd6eee42..48992386 100644 --- a/.github/workflows/documentation.yml +++ b/.github/workflows/documentation.yml @@ -38,7 +38,7 @@ jobs: just docs - name: Upload artifact - uses: actions/upload-pages-artifact@v3 + uses: actions/upload-pages-artifact@v4 with: path: docs/build diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index e88d1c91..7ac9ec6b 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -32,4 +32,4 @@ jobs: just build - name: Publish package - uses: pypa/gh-action-pypi-publish@release/v1 + uses: pypa/gh-action-pypi-publish@v1 From 3f397e04b85b3fb31823ed92a123c9931e0528d2 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 16 Dec 2025 15:35:58 +0100 Subject: [PATCH 73/80] Small changes / fixes --- src/megatron/energon/av/fastseek/fastseek.py | 8 +-- src/megatron/energon/av/fastseek/reader.py | 15 +++-- tests/test_av_decoder.py | 62 ++++++++++---------- 3 files changed, 45 insertions(+), 40 deletions(-) diff --git a/src/megatron/energon/av/fastseek/fastseek.py b/src/megatron/energon/av/fastseek/fastseek.py index 99c566bd..e626183a 100644 --- a/src/megatron/energon/av/fastseek/fastseek.py +++ b/src/megatron/energon/av/fastseek/fastseek.py @@ -122,7 +122,7 @@ def __init__(self, file: BitsType, force_probe: bool = False) -> None: ) self.streams = list(self.keyframes.keys()) - def should_seek( + def should_seek_by_frame( self, current_frame_index: int, target_frame_index: int, stream: int = 0 ) -> Optional[KeyframeInfo]: """Determine if seeking to a keyframe is necessary to reach the target frame. @@ -141,7 +141,7 @@ def should_seek( Information about the nearest keyframe if seeking would be beneficial, or None if sequential decoding from current position is more efficient. """ - nearest_iframe: KeyframeInfo = self.nearest_keyframe(target_frame_index, stream) + nearest_iframe: KeyframeInfo = self.nearest_keyframe_by_frame(target_frame_index, stream) return ( nearest_iframe if (current_frame_index < nearest_iframe.index <= target_frame_index) @@ -149,7 +149,7 @@ def should_seek( else None ) - def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> KeyframeInfo: + def nearest_keyframe_by_frame(self, target_frame_index: int, stream: int = 0) -> KeyframeInfo: """Find the nearest keyframe that comes before the target frame. This method performs a binary search to find the keyframe that is closest to, @@ -192,7 +192,7 @@ def nearest_keyframe(self, target_frame_index: int, stream: int = 0) -> Keyframe ) return stream_info.keyframes[max(0, nearest_iframe_to_target_index)] - def seek_to_pts(self, current_pts: int, target_pts: int, stream: int = 0) -> int | None: + def should_seek_by_pts(self, current_pts: int, target_pts: int, stream: int = 0) -> int | None: """ Find the nearest keyframe that comes before the target frame index and return its PTS. diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index 95f45b25..f08f6a9c 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -73,7 +73,9 @@ def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: if ( - keyframe_info := self.seeker.should_seek(self._next_frame_index - 1, range_start) + keyframe_info := self.seeker.should_seek_by_frame( + self._next_frame_index - 1, range_start + ) ) is not None: seek_pts = keyframe_info.pts if seek_pts is None: @@ -90,7 +92,6 @@ def seek_read( for next_idx, frame in zip( range(self._next_frame_index + 1, range_start + 1), self.frame_iterator ): - # print(f"Skip frame {next_idx - 1} at {frame.pts} +{frame.duration}") pass self.skipped += next_idx - self._next_frame_index self._next_frame_index = next_idx @@ -120,12 +121,14 @@ class FastseekReaderByPts(FastseekReader): def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: - if (seek_pts := self.seeker.seek_to_pts(self._next_frame_pts, range_start)) is not None: + if ( + seek_pts := self.seeker.should_seek_by_pts(self._next_frame_pts, range_start) + ) is not None: # Seeking backward or forward beyond the next keyframe # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") self.input_container.seek(seek_pts, stream=self.stream) self._next_frame_pts = seek_pts - frame = None + frame = self._previous_frame = None else: frame = self._previous_frame # Skip frames before start @@ -143,7 +146,8 @@ def seek_read( self._next_frame_pts = frame.pts self._previous_frame = frame if frame is None: - # No frame available + # No frame available -> at the end of the video + # Just keep the next_frame_pts as it was return # Yield at least the current frame. It's after the start. yield frame @@ -151,6 +155,7 @@ def seek_read( try: frame = next(self.frame_iterator) except StopIteration: + self._previous_frame = None break # Store the current frame's PTS, because we can still access that frame! self._next_frame_pts = frame.pts diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index e7066a6d..c07eb52f 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -113,28 +113,28 @@ def test_fastseek_mp4(self): ] # Going forward - assert fastseek.should_seek(0, 0) is None - assert fastseek.should_seek(0, 249) is None - assert fastseek.should_seek(0, 250) == KeyframeInfo(index=250, pts=128000) - assert fastseek.should_seek(0, 251) == KeyframeInfo(index=250, pts=128000) - assert fastseek.should_seek(0, 499) == KeyframeInfo(index=250, pts=128000) - assert fastseek.should_seek(499, 500) == KeyframeInfo(index=500, pts=256000) - assert fastseek.should_seek(250, 499) is None - assert fastseek.should_seek(250, 500) == KeyframeInfo(index=500, pts=256000) + assert fastseek.should_seek_by_frame(0, 0) is None + assert fastseek.should_seek_by_frame(0, 249) is None + assert fastseek.should_seek_by_frame(0, 250) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek_by_frame(0, 251) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek_by_frame(0, 499) == KeyframeInfo(index=250, pts=128000) + assert fastseek.should_seek_by_frame(499, 500) == KeyframeInfo(index=500, pts=256000) + assert fastseek.should_seek_by_frame(250, 499) is None + assert fastseek.should_seek_by_frame(250, 500) == KeyframeInfo(index=500, pts=256000) # Going backward - assert fastseek.should_seek(1, 0) == KeyframeInfo(index=0, pts=0) - assert fastseek.should_seek(249, 0) == KeyframeInfo(index=0, pts=0) - assert fastseek.should_seek(250, 0) == KeyframeInfo(index=0, pts=0) - - assert fastseek.seek_to_pts(0, 0) is None - assert fastseek.seek_to_pts(0, 1) is None - assert fastseek.seek_to_pts(0, 127999) is None - assert fastseek.seek_to_pts(128000, 128000) is None - assert fastseek.seek_to_pts(128000, 255999) is None - assert fastseek.seek_to_pts(0, 128000) == 128000 - assert fastseek.seek_to_pts(0, 256000) == 256000 - assert fastseek.seek_to_pts(128000, 256000) == 256000 + assert fastseek.should_seek_by_frame(1, 0) == KeyframeInfo(index=0, pts=0) + assert fastseek.should_seek_by_frame(249, 0) == KeyframeInfo(index=0, pts=0) + assert fastseek.should_seek_by_frame(250, 0) == KeyframeInfo(index=0, pts=0) + + assert fastseek.should_seek_by_pts(0, 0) is None + assert fastseek.should_seek_by_pts(0, 1) is None + assert fastseek.should_seek_by_pts(0, 127999) is None + assert fastseek.should_seek_by_pts(128000, 128000) is None + assert fastseek.should_seek_by_pts(128000, 255999) is None + assert fastseek.should_seek_by_pts(0, 128000) == 128000 + assert fastseek.should_seek_by_pts(0, 256000) == 256000 + assert fastseek.should_seek_by_pts(128000, 256000) == 256000 def test_fastseek_mkv(self): """Test fastseek.""" @@ -166,17 +166,17 @@ def test_fastseek_mkv(self): KeyframeInfo(index=None, pts=58354), ] - assert fastseek.seek_to_pts(0, 0) is None - assert fastseek.seek_to_pts(0, 8353) is None - assert fastseek.seek_to_pts(8350, 8353) is None - assert fastseek.seek_to_pts(8354, 16687) is None - assert fastseek.seek_to_pts(0, 8354) == 8354 - assert fastseek.seek_to_pts(0, 8355) == 8354 - assert fastseek.seek_to_pts(0, 16688) == 16688 - assert fastseek.seek_to_pts(1, 0) == 0 - assert fastseek.seek_to_pts(10000, 0) == 0 - assert fastseek.seek_to_pts(10000, 8354) == 8354 - assert fastseek.seek_to_pts(10000, 8355) == 8354 + assert fastseek.should_seek_by_pts(0, 0) is None + assert fastseek.should_seek_by_pts(0, 8353) is None + assert fastseek.should_seek_by_pts(8350, 8353) is None + assert fastseek.should_seek_by_pts(8354, 16687) is None + assert fastseek.should_seek_by_pts(0, 8354) == 8354 + assert fastseek.should_seek_by_pts(0, 8355) == 8354 + assert fastseek.should_seek_by_pts(0, 16688) == 16688 + assert fastseek.should_seek_by_pts(1, 0) == 0 + assert fastseek.should_seek_by_pts(10000, 0) == 0 + assert fastseek.should_seek_by_pts(10000, 8354) == 8354 + assert fastseek.should_seek_by_pts(10000, 8355) == 8354 def test_fastseek_reader_mp4(self): """Test fastseek reader.""" From e0390ea6729431620fce59a8f1b00c03c06063d3 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Tue, 16 Dec 2025 15:57:44 +0100 Subject: [PATCH 74/80] Small rename --- src/megatron/energon/av/fastseek/reader.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/src/megatron/energon/av/fastseek/reader.py b/src/megatron/energon/av/fastseek/reader.py index f08f6a9c..5cc738d3 100644 --- a/src/megatron/energon/av/fastseek/reader.py +++ b/src/megatron/energon/av/fastseek/reader.py @@ -121,13 +121,16 @@ class FastseekReaderByPts(FastseekReader): def seek_read( self, range_start: int, range_end: int | None ) -> Generator[av.VideoFrame, None, None]: + assert range_end is None or range_start <= range_end, ( + f"Range start {range_start} must be less or equal than range end {range_end}" + ) if ( - seek_pts := self.seeker.should_seek_by_pts(self._next_frame_pts, range_start) + seek_keyframe_pts := self.seeker.should_seek_by_pts(self._next_frame_pts, range_start) ) is not None: # Seeking backward or forward beyond the next keyframe # print(f"Seeking to frame {self.next_keyframe_pts} for {range_start} from {self.next_frame_pts}") - self.input_container.seek(seek_pts, stream=self.stream) - self._next_frame_pts = seek_pts + self.input_container.seek(seek_keyframe_pts, stream=self.stream) + self._next_frame_pts = seek_keyframe_pts frame = self._previous_frame = None else: frame = self._previous_frame From 2331a1c262471d47f8e15091c325456547168958 Mon Sep 17 00:00:00 2001 From: Salman Muin Kayser Chishti <13schishti@gmail.com> Date: Wed, 17 Dec 2025 10:32:29 +0000 Subject: [PATCH 75/80] Fix pypa/gh-action-pypi-publish to use SHA pinning Pin to release/v1.13 for security best practices. The v1 tag doesn't exist - only release/v1 branch exists. Signed-off-by: Salman Muin Kayser Chishti <13schishti@gmail.com> --- .github/workflows/release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 7ac9ec6b..d2d00c20 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -32,4 +32,4 @@ jobs: just build - name: Publish package - uses: pypa/gh-action-pypi-publish@v1 + uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1.13 From cd690a8922462ece16522251f09c7f5dd3034d89 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 12 Dec 2025 00:53:48 -0800 Subject: [PATCH 76/80] Add audio_num_samples (it's slow, but needed) --- src/megatron/energon/av/av_decoder.py | 25 +++++++++++++++++++++++++ src/megatron/energon/media/extractor.py | 6 +++--- src/megatron/energon/media/metadata.py | 1 + tests/test_av_decoder.py | 8 ++++++-- 4 files changed, 35 insertions(+), 5 deletions(-) diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index 34b76bcc..7dd143d8 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -361,6 +361,12 @@ def audio_frame_array(frame: av.AudioFrame) -> np.ndarray: if decoded_samples: # Combine all channels/samples along samples axis clip_all = np.concatenate(decoded_samples, axis=-1) # (channels, total_samples) + + # Prune codec delay (priming samples) if starting from the beginning + codec_delay = audio_stream.codec_context.delay + if codec_delay > 0 and start_time == 0: + clip_all = clip_all[:, codec_delay:] + if clip_start_time is not None and clip_end_time is not None: out_audio_clips.append(torch.from_numpy(clip_all)) out_audio_clips_timestamps.append((clip_start_time, clip_end_time)) @@ -545,6 +551,7 @@ def get_metadata( get_video_frame_size: bool = True, get_audio: bool = True, get_audio_duration: bool = True, + get_audio_num_samples: bool = False, ) -> "AVMetadata": """Get the metadata of the media object. @@ -555,6 +562,7 @@ def get_metadata( get_video_frame_size: Compute video frame size if not found in header. get_audio: Compute audio metadata. get_audio_duration: Compute audio duration if not found in header. + get_audio_num_samples: Compute audio number of samples. This requires decoding the audio stream. """ self.stream.seek(0) with av_open(self.stream) as input_container: @@ -607,6 +615,23 @@ def get_metadata( audio_stream = input_container.streams.audio[0] metadata.audio_sample_rate = audio_stream.sample_rate metadata.audio_duration = audio_stream.duration + if get_audio_num_samples and metadata.audio_num_samples is None: + num_samples = 0 + last_packet = None + input_container.seek(0) + for p in input_container.decode(audio=0): + if p.pts is not None: + last_packet = p + num_samples += p.samples + + # Subtract codec delay (priming samples) for consistency with get_audio_clips + codec_delay = audio_stream.codec_context.delay + metadata.audio_num_samples = max(0, num_samples - codec_delay) + + if last_packet is not None and last_packet.duration is not None: + assert last_packet.pts is not None + metadata.audio_duration = last_packet.pts + last_packet.duration + if get_audio_duration and metadata.audio_duration is None: last_packet = None input_container.seek(0) diff --git a/src/megatron/energon/media/extractor.py b/src/megatron/energon/media/extractor.py index 10ea6be3..1126584e 100644 --- a/src/megatron/energon/media/extractor.py +++ b/src/megatron/energon/media/extractor.py @@ -230,12 +230,12 @@ def _build_image_metadata(source: SourceData) -> ImageMetadata | None: def _build_av_metadata(source: SourceData) -> MediaMetadataBase | None: try: if isinstance(source, (bytes, bytearray)): - return AVDecoder(io.BytesIO(source)).get_metadata() + return AVDecoder(io.BytesIO(source)).get_metadata(get_audio_num_samples=True) elif isinstance(source, io.IOBase): - return AVDecoder(source).get_metadata() + return AVDecoder(source).get_metadata(get_audio_num_samples=True) else: with source.open("rb") as stream: - return AVDecoder(stream).get_metadata() + return AVDecoder(stream).get_metadata(get_audio_num_samples=True) except Exception: # pragma: no cover - depends on external libs/media support logger.debug("Failed to parse AV metadata", exc_info=True) return None diff --git a/src/megatron/energon/media/metadata.py b/src/megatron/energon/media/metadata.py index 625cb80b..72534723 100644 --- a/src/megatron/energon/media/metadata.py +++ b/src/megatron/energon/media/metadata.py @@ -61,6 +61,7 @@ class AVMetadata(MediaMetadataBase): audio_duration: float | None = None audio_channels: int | None = None audio_sample_rate: int | None = None + audio_num_samples: int | None = None @edataclass diff --git a/tests/test_av_decoder.py b/tests/test_av_decoder.py index c07eb52f..eaed0c4c 100644 --- a/tests/test_av_decoder.py +++ b/tests/test_av_decoder.py @@ -492,6 +492,7 @@ def test_decode_metadata(self): audio_duration=63.103, audio_channels=2, audio_sample_rate=48000, + audio_num_samples=3028992, ), AVMetadata( video_duration=63.03333333333333, @@ -502,13 +503,14 @@ def test_decode_metadata(self): audio_duration=63.068, audio_channels=2, audio_sample_rate=48000, + audio_num_samples=3027968, ), ] for video_file, expected_metadata in zip( ["tests/data/sync_test.mkv", "tests/data/sync_test.mp4"], expected_metadata ): av_decoder = AVDecoder(io.BytesIO(Path(video_file).read_bytes())) - assert av_decoder.get_metadata() == expected_metadata, ( + assert av_decoder.get_metadata(get_audio_num_samples=True) == expected_metadata, ( f"Metadata does not match expected metadata for {video_file}" ) @@ -885,18 +887,20 @@ def test_decode_metadata(self): audio_duration=10.0, audio_channels=1, audio_sample_rate=32000, + audio_num_samples=320000, ), AVMetadata( audio_duration=12.782585034013605, audio_channels=2, audio_sample_rate=44100, + audio_num_samples=563712, ), ] for audio_file, expected_metadata in zip( ["tests/data/test_audio.flac", "tests/data/test_audio.wav"], expected_metadata ): av_decoder = AVDecoder(io.BytesIO(Path(audio_file).read_bytes())) - assert av_decoder.get_metadata() == expected_metadata, ( + assert av_decoder.get_metadata(get_audio_num_samples=True) == expected_metadata, ( f"Metadata does not match expected metadata for {audio_file}: {av_decoder.get_metadata()}" ) From 812d7b1d6f171325e1d123a6a13532c5b7efd214 Mon Sep 17 00:00:00 2001 From: Salman Chishti Date: Thu, 18 Dec 2025 23:51:49 +0000 Subject: [PATCH 77/80] use version tag Signed-off-by: Salman Chishti --- .github/workflows/release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index d2d00c20..809e5048 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -32,4 +32,4 @@ jobs: just build - name: Publish package - uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1.13 + uses: pypa/gh-action-pypi-publish@release/v1.13 # release/v1.13 From add40d1dbcfcb89fddada9df767dfdf435312567 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 2 Jan 2026 16:35:37 +0100 Subject: [PATCH 78/80] Remove the context delay --- src/megatron/energon/av/av_decoder.py | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/src/megatron/energon/av/av_decoder.py b/src/megatron/energon/av/av_decoder.py index 7dd143d8..4170443a 100644 --- a/src/megatron/energon/av/av_decoder.py +++ b/src/megatron/energon/av/av_decoder.py @@ -361,12 +361,6 @@ def audio_frame_array(frame: av.AudioFrame) -> np.ndarray: if decoded_samples: # Combine all channels/samples along samples axis clip_all = np.concatenate(decoded_samples, axis=-1) # (channels, total_samples) - - # Prune codec delay (priming samples) if starting from the beginning - codec_delay = audio_stream.codec_context.delay - if codec_delay > 0 and start_time == 0: - clip_all = clip_all[:, codec_delay:] - if clip_start_time is not None and clip_end_time is not None: out_audio_clips.append(torch.from_numpy(clip_all)) out_audio_clips_timestamps.append((clip_start_time, clip_end_time)) @@ -624,9 +618,7 @@ def get_metadata( last_packet = p num_samples += p.samples - # Subtract codec delay (priming samples) for consistency with get_audio_clips - codec_delay = audio_stream.codec_context.delay - metadata.audio_num_samples = max(0, num_samples - codec_delay) + metadata.audio_num_samples = num_samples if last_packet is not None and last_packet.duration is not None: assert last_packet.pts is not None From 351477dff7060b5eaabcb6ea43d9c4ab88963767 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 2 Jan 2026 17:02:53 +0100 Subject: [PATCH 79/80] Improve test for crude preparation, add dataset yaml name --- src/megatron/energon/tools/prepare.py | 10 +++++++-- tests/test_dataset.py | 32 +++++++++++++++++++++++++++ 2 files changed, 40 insertions(+), 2 deletions(-) diff --git a/src/megatron/energon/tools/prepare.py b/src/megatron/energon/tools/prepare.py index 84c6e5bd..5e6643cf 100644 --- a/src/megatron/energon/tools/prepare.py +++ b/src/megatron/energon/tools/prepare.py @@ -168,6 +168,12 @@ def printify_json(data: Any) -> Any: help="Skip dataset.yaml creation (i.e. no sample loader or dataset.yaml will be created).", is_flag=True, ) +@click.option( + "--dataset-yaml-name", + help="Name of the dataset.yaml file to create.", + default="dataset.yaml", + type=str, +) @click.option( "--sample-type", help="Sample type class name (e.g., 'CaptioningSample', 'CrudeWebdataset'). Required for non-interactive dataset.yaml creation if creating the dataset.yaml.", @@ -196,6 +202,7 @@ def command( sample_type: Optional[str], field_map: Optional[str], skip_dataset_yaml: bool, + dataset_yaml_name: str, ): """Prepare WebDataset for use with energon. @@ -370,7 +377,6 @@ def progress_fn(els, length=None): allow_interactive_field_map = True # Determine if we should create dataset.yaml - should_create_yaml = False if skip_dataset_yaml: should_create_yaml = False elif sample_type is not None: @@ -566,7 +572,7 @@ def progress_fn(els, length=None): dataset_definition["part_filter"] = "sample_loader.py:part_filter" # Write the dataset.yaml file - with (path / MAIN_FOLDER_NAME / "dataset.yaml").open("w") as f: + with (path / MAIN_FOLDER_NAME / dataset_yaml_name).open("w") as f: yaml.dump(dataset_definition, f, sort_keys=False) else: click.echo("You will have to add a dataset.yaml manually.") diff --git a/tests/test_dataset.py b/tests/test_dataset.py index ad0f796c..01aa74ee 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -1771,6 +1771,38 @@ def test_prepare_dataset_noninteractive(self): ) assert result.exit_code == 1, "Prepare failed, see output" + def test_prepare_dataset_noninteractive_crude(self): + runner = CliRunner() + result = runner.invoke( + prepare_command, + [ + str(self.dataset_path), + "--non-interactive", + "--force-overwrite", + "--split-ratio=1,0,0", + "--sample-type=CrudeWebdataset", + "--dataset-yaml-name=dataset_crude.yaml", + ], + catch_exceptions=False, + ) + assert result.exit_code == 0, "Prepare failed, see output" + assert "Done" in result.stdout, "Prepare failed, see output" + + # Check failure with non-interactive mode + result = runner.invoke( + prepare_command, + [ + str(self.dataset_path), + "--non-interactive", + ], + catch_exceptions=True, + ) + assert result.exit_code == 1, "Prepare failed, see output" + + with open(self.dataset_path / MAIN_FOLDER_NAME / "dataset_crude.yaml", "r") as f: + content = f.read() + assert "CrudeWebdataset" in content + def test_preview_captioning_dataset(self): runner = CliRunner() result = runner.invoke( From 06d99a0c4573aa625ee31321fc8cbc556174bd70 Mon Sep 17 00:00:00 2001 From: Lukas Voegtle <5764745+voegtlel@users.noreply.github.com> Date: Fri, 16 Jan 2026 01:49:46 -0800 Subject: [PATCH 80/80] Removing shard prints, fixing gc (encountered bug with django, fixing overall) --- .../flavors/webdataset/base_webdataset.py | 6 ++++- .../flavors/webdataset/joined_webdataset.py | 26 +++++++++++-------- src/megatron/energon/wrappers/gc_dataset.py | 8 ++++++ 3 files changed, 28 insertions(+), 12 deletions(-) diff --git a/src/megatron/energon/flavors/webdataset/base_webdataset.py b/src/megatron/energon/flavors/webdataset/base_webdataset.py index 2ab86f15..4128fc16 100644 --- a/src/megatron/energon/flavors/webdataset/base_webdataset.py +++ b/src/megatron/energon/flavors/webdataset/base_webdataset.py @@ -2,6 +2,7 @@ # SPDX-License-Identifier: BSD-3-Clause import logging +import os from abc import ABC, abstractmethod from typing import Any, Callable, Dict, Generic, List, Optional, Sequence, TypeVar @@ -33,6 +34,8 @@ logger = logging.getLogger(__name__) +DEBUG_SHARD_PRINT = os.getenv("ENERGON_DEBUG_SHARD_PRINT", "0") == "1" + class BaseWebdatasetFactory( BaseCoreDatasetFactory[T_sample], @@ -138,7 +141,8 @@ def build(self, worker_rotation_offset: int = 0) -> SavableDataset[T_sample]: rotation_offset=worker_rotation_offset, subset=self.subset, ) - _print_shard_slices(self.worker_config, self.shards, workers_sample_slice_offsets) + if DEBUG_SHARD_PRINT: + _print_shard_slices(self.worker_config, self.shards, workers_sample_slice_offsets) itar_reader = ShardInfosITarReader( self.path, diff --git a/src/megatron/energon/flavors/webdataset/joined_webdataset.py b/src/megatron/energon/flavors/webdataset/joined_webdataset.py index 49394dd2..ba45439f 100644 --- a/src/megatron/energon/flavors/webdataset/joined_webdataset.py +++ b/src/megatron/energon/flavors/webdataset/joined_webdataset.py @@ -1,6 +1,7 @@ # Copyright (c) 2025, NVIDIA CORPORATION. # SPDX-License-Identifier: BSD-3-Clause +import os from abc import ABC from typing import ( Any, @@ -38,6 +39,8 @@ T_sample = TypeVar("T_sample", covariant=True) +DEBUG_SHARD_PRINT = os.getenv("ENERGON_DEBUG_SHARD_PRINT", "0") == "1" + class JoinedWebdatasetFactory(BaseCoreDatasetFactory[T_sample], Sharder, Generic[T_sample], ABC): """ @@ -158,19 +161,20 @@ def build(self, worker_rotation_offset: int = 0) -> SavableDataset[T_sample]: subset=self.subset, ) - for worker_idx, sample_slice_offsets in enumerate(workers_sample_slice_offsets): - start_idx = sample_slice_offsets[0] - end_idx = sample_slice_offsets[-1] + if DEBUG_SHARD_PRINT: + for worker_idx, sample_slice_offsets in enumerate(workers_sample_slice_offsets): + start_idx = sample_slice_offsets[0] + end_idx = sample_slice_offsets[-1] - if len(sample_slice_offsets) > 6: - offset_str = f"{', '.join(str(o) for o in sample_slice_offsets[:3])} ...<{len(sample_slice_offsets) - 6}> {', '.join(str(o) for o in sample_slice_offsets[-3:])}" - else: - offset_str = ", ".join(str(o) for o in sample_slice_offsets) + if len(sample_slice_offsets) > 6: + offset_str = f"{', '.join(str(o) for o in sample_slice_offsets[:3])} ...<{len(sample_slice_offsets) - 6}> {', '.join(str(o) for o in sample_slice_offsets[-3:])}" + else: + offset_str = ", ".join(str(o) for o in sample_slice_offsets) - print( - f"rank={self.worker_config.rank}, worker={worker_idx}: sample_range=[{start_idx}, {end_idx}) in {len(sample_slice_offsets) - 1} slices, " - f"sum(count)={end_idx - start_idx}: [{offset_str}]" - ) + print( + f"rank={self.worker_config.rank}, worker={worker_idx}: sample_range=[{start_idx}, {end_idx}) in {len(sample_slice_offsets) - 1} slices, " + f"sum(count)={end_idx - start_idx}: [{offset_str}]" + ) itar_readers = [ JoinIndexFileITarReader( diff --git a/src/megatron/energon/wrappers/gc_dataset.py b/src/megatron/energon/wrappers/gc_dataset.py index 70f31688..5ba79e06 100644 --- a/src/megatron/energon/wrappers/gc_dataset.py +++ b/src/megatron/energon/wrappers/gc_dataset.py @@ -10,6 +10,7 @@ from torch.distributed._shard.sharded_tensor import ShardedTensorBase from torch.distributed.distributed_c10d import reduce_op +from megatron.energon.errors import SYSTEM_EXCEPTIONS from megatron.energon.flavors.base_dataset import SavableDataset from megatron.energon.worker import WorkerConfig from megatron.energon.wrappers.base import BaseWrapperDataset @@ -52,6 +53,13 @@ def gc_init_worker(worker_id: int): o._shutdown = True except ReferenceError: # Can happen if the object is a weakref proxy, don't care + # (Also in SYSTEM_EXCEPTIONS, thus catch before) + pass + except SYSTEM_EXCEPTIONS: + # Reraise these exceptions + raise + except Exception: + # Can happen if the object is a weakref proxy, or any other exception, don't care pass _frozen_cuda_tensors_initialized = True