sglang docker镜像部署，可以正常上线运行，但是用readme中的openai库调用模型能力就会报错

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System Info / 系統信息

cuda12.2

Who can help? / 谁可以帮助到您？

No response

Information / 问题信息

• The official example scripts / 官方的示例脚本
• My own modified scripts / 我自己修改的脚本和任务

Reproduction / 复现过程

[2026-01-09 05:32:06] INFO model_config.py:1010: Downcasting torch.float32 to torch.float16.
[2026-01-09 05:32:06] INFO server_args.py:1618: Attention backend not specified. Use flashinfer backend by default.
[2026-01-09 05:32:06] server_args=ServerArgs(model_path='/model/GLM-ASR-Nano-2512', tokenizer_path='/model/GLM-ASR-Nano-2512', tokenizer_mode='auto', tokenizer_worker_num=1, skip_tokenizer_init=False, load_format='auto', model_loader_extra_config='{}', trust_remote_code=False, context_length=None, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=8888, fastapi_root_path='', grpc_mode=False, skip_server_warmup=False, warmups=None, nccl_port=None, checkpoint_engine_wait_weights_before_ready=False, dtype='auto', quantization=None, quantization_param_path=None, kv_cache_dtype='auto', enable_fp32_lm_head=False, modelopt_quant=None, modelopt_checkpoint_restore_path=None, modelopt_checkpoint_save_path=None, modelopt_export_path=None, quantize_and_serve=False, rl_quant_profile=None, mem_fraction_static=0.881, max_running_requests=None, max_queued_requests=None, max_total_tokens=None, chunked_prefill_size=4096, enable_dynamic_chunking=False, max_prefill_tokens=16384, prefill_max_requests=None, schedule_policy='fcfs', enable_priority_scheduling=False, abort_on_priority_when_disabled=False, schedule_low_priority_values_first=False, priority_scheduling_preemption_threshold=10, schedule_conservativeness=1.0, page_size=1, swa_full_tokens_ratio=0.8, disable_hybrid_swa_memory=False, radix_eviction_policy='lru', device='cuda', tp_size=1, pp_size=1, pp_max_micro_batch_size=None, pp_async_batch_depth=0, stream_interval=1, stream_output=False, random_seed=845240918, constrained_json_whitespace_pattern=None, constrained_json_disable_any_whitespace=False, watchdog_timeout=300, soft_watchdog_timeout=None, dist_timeout=None, download_dir=None, base_gpu_id=0, gpu_id_step=1, sleep_on_idle=False, custom_sigquit_handler=None, log_level='info', log_level_http=None, log_requests=False, log_requests_level=2, log_requests_format='text', log_requests_target=None, crash_dump_folder=None, show_time_cost=False, enable_metrics=False, enable_metrics_for_all_schedulers=False, tokenizer_metrics_custom_labels_header='x-custom-labels', tokenizer_metrics_allowed_custom_labels=None, bucket_time_to_first_token=None, bucket_inter_token_latency=None, bucket_e2e_request_latency=None, collect_tokens_histogram=False, prompt_tokens_buckets=None, generation_tokens_buckets=None, gc_warning_threshold_secs=0.0, decode_log_interval=40, enable_request_time_stats_logging=False, kv_events_config=None, enable_trace=False, otlp_traces_endpoint='localhost:4317', export_metrics_to_file=False, export_metrics_to_file_dir=None, api_key=None, served_model_name='glm-asr', weight_version='default', chat_template=None, completion_template=None, file_storage_path='sglang_storage', enable_cache_report=False, reasoning_parser=None, tool_call_parser=None, tool_server=None, sampling_defaults='model', dp_size=1, load_balance_method='round_robin', dist_init_addr=None, nnodes=1, node_rank=0, json_model_override_args='{}', preferred_sampling_params=None, enable_lora=None, max_lora_rank=None, lora_target_modules=None, lora_paths=None, max_loaded_loras=None, max_loras_per_batch=8, lora_eviction_policy='lru', lora_backend='csgmv', max_lora_chunk_size=16, attention_backend='flashinfer', decode_attention_backend=None, prefill_attention_backend=None, sampling_backend='flashinfer', grammar_backend='xgrammar', mm_attention_backend=None, fp8_gemm_runner_backend='auto', nsa_prefill_backend='flashmla_sparse', nsa_decode_backend='fa3', disable_flashinfer_autotune=False, speculative_algorithm=None, speculative_draft_model_path=None, speculative_draft_model_revision=None, speculative_draft_load_format=None, speculative_num_steps=None, speculative_eagle_topk=None, speculative_num_draft_tokens=None, speculative_accept_threshold_single=1.0, speculative_accept_threshold_acc=1.0, speculative_token_map=None, speculative_attention_mode='prefill', speculative_draft_attention_backend=None, speculative_moe_runner_backend='auto', speculative_moe_a2a_backend=None, speculative_draft_model_quantization=None, speculative_ngram_min_match_window_size=1, speculative_ngram_max_match_window_size=12, speculative_ngram_min_bfs_breadth=1, speculative_ngram_max_bfs_breadth=10, speculative_ngram_match_type='BFS', speculative_ngram_branch_length=18, speculative_ngram_capacity=10000000, enable_multi_layer_eagle=False, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', flashinfer_mxfp4_moe_precision='default', enable_flashinfer_allreduce_fusion=False, deepep_mode='auto', ep_num_redundant_experts=0, ep_dispatch_algorithm=None, init_expert_location='trivial', enable_eplb=False, eplb_algorithm='auto', eplb_rebalance_num_iterations=1000, eplb_rebalance_layers_per_chunk=None, eplb_min_rebalancing_utilization_threshold=1.0, expert_distribution_recorder_mode=None, expert_distribution_recorder_buffer_size=1000, enable_expert_distribution_metrics=False, deepep_config=None, moe_dense_tp_size=None, elastic_ep_backend=None, mooncake_ib_device=None, max_mamba_cache_size=None, mamba_ssm_dtype='float32', mamba_full_memory_ratio=0.9, mamba_scheduler_strategy='no_buffer', mamba_track_interval=256, enable_hierarchical_cache=False, hicache_ratio=2.0, hicache_size=0, hicache_write_policy='write_through', hicache_io_backend='kernel', hicache_mem_layout='layer_first', hicache_storage_backend=None, hicache_storage_prefetch_policy='best_effort', hicache_storage_backend_extra_config=None, hierarchical_sparse_attention_extra_config=None, enable_lmcache=False, kt_weight_path=None, kt_method='AMXINT4', kt_cpuinfer=None, kt_threadpool_count=2, kt_num_gpu_experts=None, kt_max_deferred_experts_per_token=None, dllm_algorithm=None, dllm_algorithm_config=None, enable_double_sparsity=False, ds_channel_config_path=None, ds_heavy_channel_num=32, ds_heavy_token_num=256, ds_heavy_channel_type='qk', ds_sparse_decode_threshold=4096, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', multi_item_scoring_delimiter=None, disable_radix_cache=False, cuda_graph_max_bs=32, cuda_graph_bs=[1, 2, 4, 8, 12, 16, 24, 32], disable_cuda_graph=False, disable_cuda_graph_padding=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=False, enable_layerwise_nvtx_marker=False, enable_nccl_nvls=False, enable_symm_mem=False, disable_flashinfer_cutlass_moe_fp4_allgather=False, enable_tokenizer_batch_encode=False, disable_tokenizer_batch_decode=False, disable_outlines_disk_cache=False, disable_custom_all_reduce=False, enable_mscclpp=False, enable_torch_symm_mem=False, disable_overlap_schedule=False, enable_mixed_chunk=False, enable_dp_attention=False, enable_dp_lm_head=False, enable_two_batch_overlap=False, enable_single_batch_overlap=False, tbo_token_distribution_threshold=0.48, enable_torch_compile=False, enable_piecewise_cuda_graph=False, enable_torch_compile_debug_mode=False, torch_compile_max_bs=32, piecewise_cuda_graph_max_tokens=4096, piecewise_cuda_graph_tokens=[4, 8, 12, 16, 20, 24, 28, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 288, 320, 352, 384, 416, 448, 480, 512, 640, 768, 896, 1024, 1152, 1280, 1408, 1536, 1664, 1792, 1920, 2048, 2176, 2304, 2432, 2560, 2688, 2816, 2944, 3072, 3200, 3328, 3456, 3584, 3712, 3840, 3968, 4096], piecewise_cuda_graph_compiler='eager', torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, triton_attention_num_kv_splits=8, triton_attention_split_tile_size=None, num_continuous_decode_steps=1, delete_ckpt_after_loading=False, enable_memory_saver=False, enable_weights_cpu_backup=False, enable_draft_weights_cpu_backup=False, allow_auto_truncate=False, enable_custom_logit_processor=False, flashinfer_mla_disable_ragged=False, disable_shared_experts_fusion=False, disable_chunked_prefix_cache=False, disable_fast_image_processor=False, keep_mm_feature_on_device=False, enable_return_hidden_states=False, enable_return_routed_experts=False, scheduler_recv_interval=1, numa_node=None, enable_deterministic_inference=False, rl_on_policy_target=None, enable_attn_tp_input_scattered=False, enable_nsa_prefill_context_parallel=False, nsa_prefill_cp_mode='in-seq-split', enable_fused_qk_norm_rope=False, enable_precise_embedding_interpolation=False, enable_dynamic_batch_tokenizer=False, dynamic_batch_tokenizer_batch_size=32, dynamic_batch_tokenizer_batch_timeout=0.002, debug_tensor_dump_output_folder=None, debug_tensor_dump_layers=None, debug_tensor_dump_input_file=None, debug_tensor_dump_inject=False, disaggregation_mode='null', disaggregation_transfer_backend='mooncake', disaggregation_bootstrap_port=8998, disaggregation_decode_tp=None, disaggregation_decode_dp=None, disaggregation_prefill_pp=1, disaggregation_ib_device=None, disaggregation_decode_enable_offload_kvcache=False, disaggregation_decode_enable_fake_auto=False, num_reserved_decode_tokens=512, disaggregation_decode_polling_interval=1, encoder_only=False, language_only=False, encoder_transfer_backend='zmq_to_scheduler', encoder_urls=[], custom_weight_loader=[], weight_loader_disable_mmap=False, remote_instance_weight_loader_seed_instance_ip=None, remote_instance_weight_loader_seed_instance_service_port=None, remote_instance_weight_loader_send_weights_group_ports=None, remote_instance_weight_loader_backend='nccl', remote_instance_weight_loader_start_seed_via_transfer_engine=False, enable_pdmux=False, pdmux_config_path=None, sm_group_num=8, mm_max_concurrent_calls=32, mm_per_request_timeout=10.0, enable_broadcast_mm_inputs_process=False, enable_prefix_mm_cache=False, mm_enable_dp_encoder=False, mm_process_config={}, limit_mm_data_per_request=None, decrypted_config_file=None, decrypted_draft_config_file=None, forward_hooks=None)
[2026-01-09 05:32:06] Downcasting torch.float32 to torch.float16.
[2026-01-09 05:32:08] Using default HuggingFace chat template with detected content format: openai
[2026-01-09 05:32:12] Downcasting torch.float32 to torch.float16.
[2026-01-09 05:32:13] Downcasting torch.float32 to torch.float16.
[2026-01-09 05:32:13] Init torch distributed begin.
[2026-01-09 05:32:13] Init torch distributed ends. mem usage=0.00 GB
[2026-01-09 05:32:14] MOE_RUNNER_BACKEND is not initialized, the backend will be automatically selected
[2026-01-09 05:32:14] Load weight begin. avail mem=56.05 GB

Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:11<00:00, 11.06s/it]

Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:11<00:00, 11.06s/it]

[2026-01-09 05:32:26] Load weight end. type=GlmAsrForConditionalGeneration, dtype=torch.float16, avail mem=51.35 GB, mem usage=4.70 GB.
[2026-01-09 05:32:26] Using KV cache dtype: torch.float16
[2026-01-09 05:32:26] KV Cache is allocated. #tokens: 836670, K size: 22.34 GB, V size: 22.34 GB
[2026-01-09 05:32:26] Memory pool end. avail mem=6.49 GB
[2026-01-09 05:32:26] Capture cuda graph begin. This can take up to several minutes. avail mem=5.85 GB
[2026-01-09 05:32:26] Capture cuda graph bs [1, 2, 4, 8, 12, 16, 24, 32]

0%| | 0/8 [00:00<?, ?it/s]
Capturing batches (bs=32 avail_mem=5.85 GB): 0%| | 0/8 [00:00<?, ?it/s]
Capturing batches (bs=32 avail_mem=5.85 GB): 12%|█▎ | 1/8 [00:00<00:06, 1.02it/s]
Capturing batches (bs=24 avail_mem=5.78 GB): 12%|█▎ | 1/8 [00:00<00:06, 1.02it/s]
Capturing batches (bs=16 avail_mem=5.78 GB): 12%|█▎ | 1/8 [00:01<00:06, 1.02it/s]
Capturing batches (bs=16 avail_mem=5.78 GB): 38%|███▊ | 3/8 [00:01<00:01, 3.28it/s]
Capturing batches (bs=12 avail_mem=5.76 GB): 38%|███▊ | 3/8 [00:01<00:01, 3.28it/s]
Capturing batches (bs=8 avail_mem=5.76 GB): 38%|███▊ | 3/8 [00:01<00:01, 3.28it/s]
Capturing batches (bs=4 avail_mem=5.74 GB): 38%|███▊ | 3/8 [00:01<00:01, 3.28it/s]
Capturing batches (bs=2 avail_mem=5.74 GB): 38%|███▊ | 3/8 [00:01<00:01, 3.28it/s]
Capturing batches (bs=2 avail_mem=5.74 GB): 88%|████████▊ | 7/8 [00:01<00:00, 8.33it/s]
Capturing batches (bs=1 avail_mem=5.69 GB): 88%|████████▊ | 7/8 [00:01<00:00, 8.33it/s]
Capturing batches (bs=1 avail_mem=5.69 GB): 100%|██████████| 8/8 [00:01<00:00, 6.23it/s]
[2026-01-09 05:32:28] Capture cuda graph end. Time elapsed: 1.64 s. mem usage=0.17 GB. avail mem=5.68 GB.
[2026-01-09 05:32:28] max_total_num_tokens=836670, chunked_prefill_size=4096, max_prefill_tokens=16384, max_running_requests=4096, context_len=8192, available_gpu_mem=5.68 GB
[2026-01-09 05:32:28] INFO: Started server process [7]
[2026-01-09 05:32:28] INFO: Waiting for application startup.
[2026-01-09 05:32:28] INFO: Application startup complete.
[2026-01-09 05:32:28] INFO: Uvicorn running on http://0.0.0.0:8888 (Press CTRL+C to quit)
[2026-01-09 05:32:29] Prefill batch, #new-seq: 1, #new-token: 6, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 0,
[2026-01-09 05:32:32] The server is fired up and ready to roll!
[2026-01-09 05:32:44] Prefill batch, #new-seq: 1, #new-token: 90, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 0,
Fatal Python error: Segmentation fault

Thread 0x00007f17fbffe6c0 (most recent call first):
File "/usr/local/lib/python3.12/dist-packages/torch/_inductor/compile_worker/subproc_pool.py", line 73 in _recv_msg
File "/usr/local/lib/python3.12/dist-packages/torch/_inductor/compile_worker/subproc_pool.py", line 228 in _read_thread
File "/usr/lib/python3.12/threading.py", line 1010 in run
File "/usr/lib/python3.12/threading.py", line 1073 in _bootstrap_inner
File "/usr/lib/python3.12/threading.py", line 1030 in _bootstrap

Thread 0x00007f17fffff6c0 (most recent call first):
File "/sgl-workspace/sglang/python/sglang/srt/utils/watchdog.py", line 145 in _watchdog_once
File "/sgl-workspace/sglang/python/sglang/srt/utils/watchdog.py", line 125 in _watchdog_thread
File "/usr/lib/python3.12/threading.py", line 1010 in run
File "/usr/lib/python3.12/threading.py", line 1073 in _bootstrap_inner
File "/usr/lib/python3.12/threading.py", line 1030 in _bootstrap

Thread 0x00007f182bfff6c0 (most recent call first):
File "/usr/lib/python3.12/threading.py", line 359 in wait
File "/usr/lib/python3.12/threading.py", line 655 in wait
File "/usr/local/lib/python3.12/dist-packages/tqdm/_monitor.py", line 60 in run
File "/usr/lib/python3.12/threading.py", line 1073 in _bootstrap_inner
File "/usr/lib/python3.12/threading.py", line 1030 in _bootstrap

Thread 0x00007f23c1fff6c0 (most recent call first):
File "/usr/lib/python3.12/threading.py", line 359 in wait
File "/usr/lib/python3.12/threading.py", line 655 in wait
File "/usr/local/lib/python3.12/dist-packages/tqdm/_monitor.py", line 60 in run
File "/usr/lib/python3.12/threading.py", line 1073 in _bootstrap_inner
File "/usr/lib/python3.12/threading.py", line 1030 in _bootstrap

Current thread 0x00007f2a82c3f300 (most recent call first):
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/conv.py", line 366 in _conv_forward
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/conv.py", line 371 in forward
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1786 in _call_impl
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1775 in _wrapped_call_impl
File "/usr/local/lib/python3.12/dist-packages/transformers/models/glmasr/modeling_glmasr.py", line 313 in forward
File "/usr/local/lib/python3.12/dist-packages/transformers/utils/generic.py", line 965 in wrapper
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1786 in _call_impl
File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1775 in _wrapped_call_impl
File "/sgl-workspace/sglang/python/sglang/srt/models/glmasr.py", line 100 in get_audio_feature
File "/sgl-workspace/sglang/python/sglang/srt/managers/mm_utils.py", line 574 in _get_chunked_prefill_embedding
File "/sgl-workspace/sglang/python/sglang/srt/managers/mm_utils.py", line 889 in get_embedding_and_mask
File "/sgl-workspace/sglang/python/sglang/srt/managers/mm_utils.py", line 983 in embed_mm_inputs
File "/sgl-workspace/sglang/python/sglang/srt/managers/mm_utils.py", line 1091 in general_mm_embed_routine
File "/sgl-workspace/sglang/python/sglang/srt/models/glmasr.py", line 115 in forward
File "/sgl-workspace/sglang/python/sglang/srt/model_executor/model_runner.py", line 2162 in forward_extend
File "/sgl-workspace/sglang/python/sglang/srt/model_executor/model_runner.py", line 2295 in _forward_raw
File "/sgl-workspace/sglang/python/sglang/srt/model_executor/model_runner.py", line 2217 in forward
File "/sgl-workspace/sglang/python/sglang/srt/managers/tp_worker.py", line 448 in forward_batch_generation
File "/sgl-workspace/sglang/python/sglang/srt/managers/scheduler.py", line 2239 in run_batch
File "/sgl-workspace/sglang/python/sglang/srt/managers/scheduler.py", line 1140 in event_loop_overlap
File "/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py", line 120 in decorate_context
File "/sgl-workspace/sglang/python/sglang/srt/managers/scheduler.py", line 2970 in run_scheduler_process
File "/usr/lib/python3.12/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.12/multiprocessing/process.py", line 314 in _bootstrap
File "/usr/lib/python3.12/multiprocessing/spawn.py", line 135 in _main
File "/usr/lib/python3.12/multiprocessing/spawn.py", line 122 in spawn_main
File "", line 1 in

Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pybase64._pybase64, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, multidict._multidict, yarl._quoting_c, propcache._helpers_c, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket.mask, aiohttp._websocket.reader_c, frozenlist._frozenlist, torch._C, torch._C._dynamo.autograd_compiler, torch._C._dynamo.eval_frame, torch._C._dynamo.guards, torch._C._dynamo.utils, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, psutil._psutil_linux, zmq.backend.cython._zmq, PIL._imaging, sentencepiece._sentencepiece, regex._regex, yaml._yaml, markupsafe._speedups, cuda_utils, PIL._imagingft, _cffi_backend, scipy._lib._ccallback_c, scipy.linalg._fblas, scipy.linalg._flapack, _cyutility, scipy._cyutility, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_schur_sqrtm, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._slsqplib, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy._lib._uarray._uarray, scipy.special._ufuncs_cxx, scipy.special._ellip_harm_2, scipy.special._special_ufuncs, scipy.special._gufuncs, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._hausdorff, scipy.spatial._distance_wrap, scipy.spatial.transform._rotation, scipy.spatial.transform._rigid_transform, scipy.optimize._direct, setproctitle._setproctitle, cuda.bindings._bindings.cydriver, cuda.bindings.cydriver, cuda.bindings.driver, tvm_ffi.core, msgspec._core, cuda.bindings._bindings.cynvrtc, cuda.bindings.cynvrtc, cuda.bindings.nvrtc, cuda.bindings._bindings.cyruntime_ptds, cuda.bindings._bindings.cyruntime, cuda.bindings.cyruntime, cuda.bindings.runtime, triton_launcher (total: 112)
!!!!!!! Segfault encountered !!!!!!!
File "", line 0, in pthread_kill
File "", line 0, in gsignal
File "", line 0, in cuda_CallJitEntryPoint
File "", line 0, in mb_tools::GpcVSL::queryFromDefaultDevice(int)
File "", line 0, in cudnnCreate
File "", line 0, in cudnnCreate
File "", line 0, in at::native::(anonymous namespace)::createCuDNNHandle(cudnnContext**)
File "", line 0, in at::native::getCudnnHandle()
File "", line 0, in at::native::run_single_conv(cudnnBackendDescriptorType_t, at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool)
File "", line 0, in at::native::raw_cudnn_convolution_forward_out(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool)
File "", line 0, in at::native::cudnn_convolution_forward_out(at::TensorArg&, char const*, at::TensorArg const&, at::TensorArg const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool)
File "", line 0, in at::native::cudnn_convolution(at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool)
File "", line 0, in at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__cudnn_convolution(at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool)
File "", line 0, in c10::impl::wrap_kernel_functor_unboxed<c10::impl::detail::WrapFunctionIntoFunctor<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__cudnn_convolution>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool)
File "", line 0, in at::ops::cudnn_convolution::call(at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool)
File "", line 0, in at::native::convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long, bool, bool, bool, bool)
File "", line 0, in at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeExplicitAutograd___convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool)
File "", line 0, in c10::impl::wrap_kernel_functor_unboxed<c10::impl::detail::WrapFunctionIntoFunctor<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeExplicitAutograd___convolution>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool)
File "", line 0, in at::ops::convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool)
File "", line 0, in at::native::convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long)
File "", line 0, in at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeExplicitAutograd__convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in c10::impl::wrap_kernel_functor_unboxed<c10::impl::detail::WrapFunctionIntoFunctor<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeExplicitAutograd__convolution>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt> >, at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in at::ops::convolution::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in torch::autograd::VariableType::(anonymous namespace)::convolution(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in c10::impl::wrap_kernel_functor_unboxed<c10::impl::detail::WrapFunctionIntoFunctor<c10::CompileTimeFunctionPointer<at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt), &torch::autograd::VariableType::(anonymous namespace)::convolution>, at::Tensor, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt> >, at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in at::ops::convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in at::native::conv1d_symint(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in c10::impl::wrap_kernel_functor_unboxed<c10::impl::detail::WrapFunctionIntoFunctor<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__conv1d>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt> >, at::Tensor (at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in at::_ops::conv1d::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt)
File "", line 0, in torch::autograd::THPVariable_conv1d(_object*, _object*, _object*)
File "", line 0, in _PyObject_MakeTpCall
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyObject_Call_Prepend
File "", line 0, in _PyObject_MakeTpCall
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyObject_Call_Prepend
File "", line 0, in _PyObject_MakeTpCall
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in _PyEval_EvalFrameDefault
File "", line 0, in PyEval_EvalCode
File "", line 0, in PyRun_StringFlags
File "", line 0, in PyRun_SimpleStringFlags
File "", line 0, in Py_RunMain
File "", line 0, in Py_BytesMain
File "", line 0, in _start
File "", line 0, in 0xffffffffffffffff

Expected behavior / 期待表现

1