From 1ecc7c16123c57b70162a17f659a36a9b68cee1f Mon Sep 17 00:00:00 2001 From: Yondon Fu Date: Thu, 8 Jan 2026 15:33:41 -0500 Subject: [PATCH 1/3] Bump to torch 2.9.1 + patch cudnn to fix Conv3D perf regression Signed-off-by: Yondon Fu --- patches.pth | 1 + pyproject.toml | 25 +- src/scope/core/patches/__init__.py | 1 + src/scope/core/patches/_startup.py | 17 ++ src/scope/core/patches/cudnn.py | 103 +++++++++ uv.lock | 359 ++++++++++++++++++----------- 6 files changed, 366 insertions(+), 140 deletions(-) create mode 100644 patches.pth create mode 100644 src/scope/core/patches/__init__.py create mode 100644 src/scope/core/patches/_startup.py create mode 100644 src/scope/core/patches/cudnn.py diff --git a/patches.pth b/patches.pth new file mode 100644 index 000000000..5b7ed7b33 --- /dev/null +++ b/patches.pth @@ -0,0 +1 @@ +import scope.core.patches._startup diff --git a/pyproject.toml b/pyproject.toml index d4af5755a..ab2c28cd8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,8 +33,8 @@ dependencies = [ "httpx>=0.28.1", "twilio>=9.8.0", "uvicorn>=0.35.0", - "torch==2.8.0", - "torchvision==0.23.0", + "torch==2.9.1", + "torchvision==0.24.1", "easydict>=1.13", "diffusers>=0.31.0", "ftfy>=6.3.1", @@ -50,10 +50,10 @@ dependencies = [ "pluggy>=1.5.0", "click>=8.3.1", "peft>=0.17.1", - "torchao==0.13.0", + "torchao==0.15.0", "kernels>=0.10.4", - "triton==3.4.0; sys_platform == 'linux'", - "triton-windows==3.4.0.post21; sys_platform == 'win32'", + "triton==3.5.1; sys_platform == 'linux'", + "triton-windows==3.5.1.post24; sys_platform == 'win32'", "SpoutGL>=0.1.1; sys_platform == 'win32'", "PyOpenGL>=3.1.10; sys_platform == 'win32'", ] @@ -70,6 +70,11 @@ Issues = "https://github.com/daydreamlive/scope/issues" [tool.uv] preview = true +# Override cuDNN version to fix PyTorch 2.9.1 Conv3D bf16 performance regression +# See: https://github.com/pytorch/pytorch/issues/168167 +override-dependencies = [ + "nvidia-cudnn-cu12>=9.15", +] [tool.uv.extra-build-dependencies] flash-attn = [{ requirement = "torch", match-runtime = true, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }] @@ -86,15 +91,15 @@ torchvision = [ ] flash-attn = [ # Prebuilt Linux wheels from https://github.com/Dao-AILab/flash-attention - { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl", marker = "sys_platform == 'linux'" }, + { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl", marker = "sys_platform == 'linux'" }, # Prebuilt Windows wheels from https://github.com/kingbri1/flash-attention - { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp310-cp310-win_amd64.whl", marker = "sys_platform == 'win32'" }, + { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-win_amd64.whl", marker = "sys_platform == 'win32'" }, ] sageattention = [ # Prebuilt Linux wheels from https://github.com/daydreamlive/SageAttention { url = "https://github.com/daydreamlive/SageAttention/releases/download/v2.2.0-linux/sageattention-2.2.0-cp310-cp310-linux_x86_64.whl", marker = "sys_platform == 'linux'" }, # Prebuilt Windows wheels from https://github.com/woct0rdho/SageAttention/releases - { url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.8.0.post3-cp39-abi3-win_amd64.whl", marker = "sys_platform == 'win32'" }, + { url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl", marker = "sys_platform == 'win32'" }, ] [[tool.uv.index]] @@ -159,6 +164,10 @@ build-backend = "hatchling.build" [tool.hatch.build.targets.wheel] packages = ["src/scope"] +[tool.hatch.build.targets.wheel.force-include] +# Include .pth file for automatic cuDNN patching at Python startup +"patches.pth" = "patches.pth" + [tool.hatch.build] include = [ "frontend/dist/assets/**/*", diff --git a/src/scope/core/patches/__init__.py b/src/scope/core/patches/__init__.py new file mode 100644 index 000000000..8dd31c177 --- /dev/null +++ b/src/scope/core/patches/__init__.py @@ -0,0 +1 @@ +"""Patching utilities for dependencies.""" diff --git a/src/scope/core/patches/_startup.py b/src/scope/core/patches/_startup.py new file mode 100644 index 000000000..dfe957d79 --- /dev/null +++ b/src/scope/core/patches/_startup.py @@ -0,0 +1,17 @@ +""" +Auto-patch at Python startup. Imported by patches.pth. + +This module is imported at every Python startup before any user code. +It silently applies patches needed for the current platform. +""" + +import sys + +if sys.platform == "win32": + try: + from .cudnn import patch_torch_cudnn + + patch_torch_cudnn(silent=True) + except Exception: + # Never crash Python startup - fail silently + pass diff --git a/src/scope/core/patches/cudnn.py b/src/scope/core/patches/cudnn.py new file mode 100644 index 000000000..8623df3b4 --- /dev/null +++ b/src/scope/core/patches/cudnn.py @@ -0,0 +1,103 @@ +""" +Patch PyTorch's bundled cuDNN with a newer version from nvidia-cudnn-cu12. + +On Windows, PyTorch bundles cuDNN in torch/lib and loads it directly by path, +ignoring PATH and os.add_dll_directory(). To use a newer cuDNN version, we +must copy the DLLs from nvidia-cudnn-cu12 to torch/lib. + +This fixes the PyTorch 2.9.1 Conv3D bf16 performance regression. +See: https://github.com/pytorch/pytorch/issues/168167 + +This can be removed when a new PyTorch with the correct cuDNN version is released. +""" + +import glob +import os +import shutil +import sys + + +def patch_torch_cudnn(silent: bool = False): + """Copy cuDNN DLLs from nvidia-cudnn-cu12 to torch/lib on Windows. + + This patches PyTorch to use the newer cuDNN version. + Idempotent: skips files that are already the correct size. + + Args: + silent: If True, suppress all output (for use at Python startup). + """ + if sys.platform != "win32": + if not silent: + print("Not on Windows, skipping cuDNN patch") + return + + try: + import nvidia.cudnn + import torch + except ImportError as e: + if not silent: + print(f"Required packages not installed: {e}") + return + + cudnn_src = os.path.join(nvidia.cudnn.__path__[0], "bin") + torch_lib = os.path.join(os.path.dirname(torch.__file__), "lib") + + if not os.path.isdir(cudnn_src): + if not silent: + print(f"cuDNN source not found: {cudnn_src}") + return + + if not os.path.isdir(torch_lib): + if not silent: + print(f"torch lib not found: {torch_lib}") + return + + # Find cuDNN DLLs to copy + cudnn_dlls = glob.glob(os.path.join(cudnn_src, "cudnn*.dll")) + + if not cudnn_dlls: + if not silent: + print(f"No cuDNN DLLs found in {cudnn_src}") + return + + if not silent: + print(f"Patching torch cuDNN: {cudnn_src} -> {torch_lib}") + + for src_dll in cudnn_dlls: + dll_name = os.path.basename(src_dll) + dst_dll = os.path.join(torch_lib, dll_name) + + if os.path.exists(dst_dll): + src_size = os.path.getsize(src_dll) + dst_size = os.path.getsize(dst_dll) + if src_size == dst_size: + if not silent: + print(f" {dll_name}: already patched (same size)") + continue + + if not silent: + print(f" {dll_name}: copying...") + try: + # Try to make the destination writable if it exists + if os.path.exists(dst_dll): + os.chmod(dst_dll, 0o666) + shutil.copy2(src_dll, dst_dll) + except PermissionError: + if not silent: + print( + " ERROR: Permission denied. Close any Python/torch processes and retry." + ) + print(f" Or manually copy: {src_dll} -> {dst_dll}") + continue + + if not silent: + print("Done. Restart Python to use new cuDNN.") + + +def main(): + """Entry point for manual patching.""" + patch_torch_cudnn(silent=False) + + +if __name__ == "__main__": + main() diff --git a/uv.lock b/uv.lock index 25e6ea742..665a9285c 100644 --- a/uv.lock +++ b/uv.lock @@ -2,9 +2,12 @@ version = 1 revision = 3 requires-python = ">=3.10.12" resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version < '3.11' and sys_platform == 'linux'", + "(python_full_version >= '3.15' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version >= '3.12' and python_full_version < '3.15' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", "python_full_version >= '3.12' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version < '3.11' and sys_platform == 'win32'", @@ -13,6 +16,9 @@ resolution-markers = [ "python_full_version < '3.11' and sys_platform != 'linux' and sys_platform != 'win32'", ] +[manifest] +overrides = [{ name = "nvidia-cudnn-cu12", specifier = ">=9.15" }] + [[package]] name = "accelerate" version = "1.11.0" @@ -25,8 +31,8 @@ dependencies = [ { name = "psutil" }, { name = "pyyaml" }, { name = "safetensors" }, - { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, - { name = "torch", version = "2.8.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "torch", version = "2.9.1", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, + { name = "torch", version = "2.9.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/23/60/2757c4f03a8705dbf80b1268b03881927878dca5ed07d74f733fb6c219e0/accelerate-1.11.0.tar.gz", hash = "sha256:bb1caf2597b4cd632b917b5000c591d10730bb024a79746f1ee205bba80bd229", size = 393715, upload-time = "2025-10-20T14:42:25.025Z" } wheels = [ @@ -628,8 +634,8 @@ dependencies = [ { name = "easydict" }, { name = "einops" }, { name = "fastapi" }, - { name = "flash-attn", version = "2.8.3", source = { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl" }, marker = "sys_platform == 'linux'" }, - { name = "flash-attn", version = "2.8.3", source = { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp310-cp310-win_amd64.whl" }, marker = "sys_platform == 'win32'" }, + { name = "flash-attn", version = "2.8.3", source = { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl" }, marker = "sys_platform == 'linux'" }, + { name = "flash-attn", version = "2.8.3", source = { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-win_amd64.whl" }, marker = "sys_platform == 'win32'" }, { name = "ftfy" }, { name = "httpx" }, { name = "huggingface-hub" }, @@ -641,13 +647,14 @@ dependencies = [ { name = "pyopengl", marker = "sys_platform == 'win32'" }, { name = "safetensors" }, { name = "sageattention", version = "2.2.0", source = { url = "https://github.com/daydreamlive/SageAttention/releases/download/v2.2.0-linux/sageattention-2.2.0-cp310-cp310-linux_x86_64.whl" }, marker = "sys_platform == 'linux'" }, - { name = "sageattention", version = "2.2.0+cu128torch2.8.0.post3", source = { url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.8.0.post3-cp39-abi3-win_amd64.whl" }, marker = "sys_platform == 'win32'" }, + { name = "sageattention", version = "2.2.0+cu128torch2.9.0andhigher.post4", source = { url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl" }, marker = "sys_platform == 'win32'" }, { name = "spoutgl", marker = "sys_platform == 'win32'" }, - { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, - { name = "torch", version = "2.8.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "torch", version = "2.9.1", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, + { name = "torch", version = "2.9.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "torchao" }, - { name = "torchvision", version = "0.23.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, - { name = "torchvision", version = "0.23.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "torchvision", version = "0.24.1", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "python_full_version < '3.15' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'" }, + { name = "torchvision", version = "0.24.1", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux' and sys_platform != 'win32'" }, + { name = "torchvision", version = "0.24.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "(python_full_version >= '3.15' and sys_platform == 'linux') or (platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux') or sys_platform == 'win32'" }, { name = "transformers" }, { name = "triton", marker = "sys_platform == 'linux'" }, { name = "triton-windows", marker = "sys_platform == 'win32'" }, @@ -675,8 +682,8 @@ requires-dist = [ { name = "easydict", specifier = ">=1.13" }, { name = "einops", specifier = ">=0.8.1" }, { name = "fastapi", specifier = ">=0.116.1" }, - { name = "flash-attn", marker = "sys_platform == 'linux'", url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl" }, - { name = "flash-attn", marker = "sys_platform == 'win32'", url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp310-cp310-win_amd64.whl" }, + { name = "flash-attn", marker = "sys_platform == 'linux'", url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl" }, + { name = "flash-attn", marker = "sys_platform == 'win32'", url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-win_amd64.whl" }, { name = "ftfy", specifier = ">=6.3.1" }, { name = "httpx", specifier = ">=0.28.1" }, { name = "huggingface-hub", specifier = ">=0.25.0" }, @@ -688,16 +695,16 @@ requires-dist = [ { name = "pyopengl", marker = "sys_platform == 'win32'", specifier = ">=3.1.10" }, { name = "safetensors", specifier = ">=0.6.2" }, { name = "sageattention", marker = "sys_platform == 'linux'", url = "https://github.com/daydreamlive/SageAttention/releases/download/v2.2.0-linux/sageattention-2.2.0-cp310-cp310-linux_x86_64.whl" }, - { name = "sageattention", marker = "sys_platform == 'win32'", url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.8.0.post3-cp39-abi3-win_amd64.whl" }, + { name = "sageattention", marker = "sys_platform == 'win32'", url = "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl" }, { name = "spoutgl", marker = "sys_platform == 'win32'", specifier = ">=0.1.1" }, - { name = "torch", marker = "sys_platform != 'linux' and sys_platform != 'win32'", specifier = "==2.8.0" }, - { name = "torch", marker = "sys_platform == 'linux' or sys_platform == 'win32'", specifier = "==2.8.0", index = "https://download.pytorch.org/whl/cu128" }, - { name = "torchao", specifier = "==0.13.0" }, - { name = "torchvision", marker = "sys_platform != 'linux' and sys_platform != 'win32'", specifier = "==0.23.0" }, - { name = "torchvision", marker = "sys_platform == 'linux' or sys_platform == 'win32'", specifier = "==0.23.0", index = "https://download.pytorch.org/whl/cu128" }, + { name = "torch", marker = "sys_platform != 'linux' and sys_platform != 'win32'", specifier = "==2.9.1" }, + { name = "torch", marker = "sys_platform == 'linux' or sys_platform == 'win32'", specifier = "==2.9.1", index = "https://download.pytorch.org/whl/cu128" }, + { name = "torchao", specifier = "==0.15.0" }, + { name = "torchvision", marker = "sys_platform != 'linux' and sys_platform != 'win32'", specifier = "==0.24.1" }, + { name = "torchvision", marker = "sys_platform == 'linux' or sys_platform == 'win32'", specifier = "==0.24.1", index = "https://download.pytorch.org/whl/cu128" }, { name = "transformers", specifier = ">=4.49.0" }, - { name = "triton", marker = "sys_platform == 'linux'", specifier = "==3.4.0" }, - { name = "triton-windows", marker = "sys_platform == 'win32'", specifier = "==3.4.0.post21" }, + { name = "triton", marker = "sys_platform == 'linux'", specifier = "==3.5.1" }, + { name = "triton-windows", marker = "sys_platform == 'win32'", specifier = "==3.5.1.post24" }, { name = "twilio", specifier = ">=9.8.0" }, { name = "uvicorn", specifier = ">=0.35.0" }, ] @@ -817,18 +824,21 @@ wheels = [ [[package]] name = "flash-attn" version = "2.8.3" -source = { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl" } +source = { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version < '3.11' and sys_platform == 'linux'", + "(python_full_version >= '3.15' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version >= '3.12' and python_full_version < '3.15' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", ] dependencies = [ { name = "einops", marker = "sys_platform == 'linux'" }, - { name = "torch", version = "2.8.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux'" }, + { name = "torch", version = "2.9.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux'" }, ] wheels = [ - { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp310-cp310-linux_x86_64.whl", hash = "sha256:7aa420a0f6a7fb0a75d3d4f62f7e3a41b51dba7f1fee0defaed051c5465ccb32" }, + { url = 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Mon Sep 17 00:00:00 2001 From: Yondon Fu Date: Tue, 13 Jan 2026 14:27:18 -0500 Subject: [PATCH 2/3] Find cudnn package without importing torch to prevent file locking Signed-off-by: Yondon Fu --- src/scope/core/patches/cudnn.py | 49 ++++++++++++++++++++++++++++----- 1 file changed, 42 insertions(+), 7 deletions(-) diff --git a/src/scope/core/patches/cudnn.py b/src/scope/core/patches/cudnn.py index 8623df3b4..3d0ba6277 100644 --- a/src/scope/core/patches/cudnn.py +++ b/src/scope/core/patches/cudnn.py @@ -12,17 +12,46 @@ """ import glob +import importlib.util import os import shutil import sys +def _find_package_path(package_name: str) -> str | None: + """Find a package's install path WITHOUT importing it. + + This is critical for torch - importing it loads cuDNN DLLs which then + can't be overwritten. Using find_spec() locates the package without + executing its __init__.py. + + Handles both regular packages (with __init__.py) and namespace packages. + """ + try: + spec = importlib.util.find_spec(package_name) + if spec: + # Regular package: spec.origin points to __init__.py + if spec.origin: + return os.path.dirname(spec.origin) + # Namespace package: use submodule_search_locations + if spec.submodule_search_locations: + locations = list(spec.submodule_search_locations) + if locations: + return locations[0] + except (ImportError, ModuleNotFoundError): + pass + return None + + def patch_torch_cudnn(silent: bool = False): """Copy cuDNN DLLs from nvidia-cudnn-cu12 to torch/lib on Windows. This patches PyTorch to use the newer cuDNN version. Idempotent: skips files that are already the correct size. + IMPORTANT: This function does NOT import torch, so it can safely + overwrite cuDNN DLLs before they are loaded. + Args: silent: If True, suppress all output (for use at Python startup). """ @@ -31,16 +60,22 @@ def patch_torch_cudnn(silent: bool = False): print("Not on Windows, skipping cuDNN patch") return - try: - import nvidia.cudnn - import torch - except ImportError as e: + # Find package paths WITHOUT importing them (avoids loading/locking DLLs) + cudnn_path = _find_package_path("nvidia.cudnn") + torch_path = _find_package_path("torch") + + if not cudnn_path: + if not silent: + print("nvidia-cudnn-cu12 package not found") + return + + if not torch_path: if not silent: - print(f"Required packages not installed: {e}") + print("torch package not found") return - cudnn_src = os.path.join(nvidia.cudnn.__path__[0], "bin") - torch_lib = os.path.join(os.path.dirname(torch.__file__), "lib") + cudnn_src = os.path.join(cudnn_path, "bin") + torch_lib = os.path.join(torch_path, "lib") if not os.path.isdir(cudnn_src): if not silent: From 5ca8d2b8860252a8128e65e142013ee58d13b805 Mon Sep 17 00:00:00 2001 From: Yondon Fu Date: Tue, 13 Jan 2026 14:28:12 -0500 Subject: [PATCH 3/3] Bump to Python 3.12.8 Signed-off-by: Yondon Fu --- .github/workflows/lint.yml | 2 +- .python-version | 2 +- pyproject.toml | 10 +- uv.lock | 1634 ++++++++++-------------------------- 4 files changed, 470 insertions(+), 1178 deletions(-) diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 33ba0735f..6b787b8d3 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -18,7 +18,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.10.12' + python-version: '3.12.8' - name: Install uv uses: astral-sh/setup-uv@v3 diff --git a/.python-version b/.python-version index 56d91d353..04e207918 100644 --- a/.python-version +++ b/.python-version @@ -1 +1 @@ -3.10.12 +3.12.8 diff --git a/pyproject.toml b/pyproject.toml index ab2c28cd8..a95e06119 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ name = "daydream-scope" version = "0.1.0b2" description = "A tool for running and customizing real-time, interactive generative AI pipelines and models" readme = "README.md" -requires-python = ">=3.10.12" +requires-python = ">=3.12" authors = [ {name = "Yondon Fu", email = "yondon@livepeer.org"}, {name = "Rafal Leszko", email = "rafal@livepeer.org"} @@ -93,11 +93,11 @@ flash-attn = [ # Prebuilt Linux wheels from https://github.com/Dao-AILab/flash-attention { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl", marker = "sys_platform == 'linux'" }, # Prebuilt Windows wheels from https://github.com/kingbri1/flash-attention - { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-win_amd64.whl", marker = "sys_platform == 'win32'" }, + { url = "https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp312-cp312-win_amd64.whl", marker = "sys_platform == 'win32'" }, ] 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