启动后一直停留在这个日志，没有进度，也不会结束，python版本3.11，onnxruntime-gpu版本1.22.0，cuda版本12.8，torch版本2.8.0+cu128
Loading pretrained params from /home/el/workspace/ComfyUI/models/TTS/Step-Audio-Tokenizer/dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/model.pt
ckpt: /home/el/workspace/ComfyUI/models/TTS/Step-Audio-Tokenizer/dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/model.pt
2025-08-13 17:47:50.946998037 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:50.948061233 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:50.948074278 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
/home/el/python/lib/python3.11/site-packages/diffusers/models/lora.py:393: FutureWarning: LoRACompatibleLinear is deprecated and will be removed in version 1.0.0. Use of LoRACompatibleLinear is deprecated. Please switch to PEFT backend by installing PEFT: pip install peft.
deprecate("LoRACompatibleLinear", "1.0.0", deprecation_message)
input frame rate=41.667
/home/el/python/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
WeightNorm.apply(module, name, dim)
2025-08-13 17:47:54.494667049 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:54.495872920 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:54.495890362 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
input frame rate=41.667
2025-08-13 17:47:56.868152297 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:56.869485411 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:56.869501912 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:213: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.load_with_torchcodec under the hood. Some parameters like normalize, format, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's decoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.decoders.AudioDecoder.html#torchcodec.decoders.AudioDecoder.
warnings.warn(
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:337: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.save_with_torchcodec under the hood. Some parameters like format, encoding, bits_per_sample, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's encoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.encoders.AudioEncoder
warnings.warn(
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:213: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.load_with_torchcodec under the hood. Some parameters like normalize, format, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's decoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.decoders.AudioDecoder.html#torchcodec.decoders.AudioDecoder.
warnings.warn(
/home/el/workspace/ComfyUI/custom_nodes/ComfyUI_StepAudioTTS/funasr_detach/models/paraformer_streaming/model.py:178: FutureWarning: torch.cuda.amp.autocast(args...) is deprecated. Please use torch.amp.autocast('cuda', args...) instead.
with autocast(False):
启动后一直停留在这个日志，没有进度，也不会结束，python版本3.11，onnxruntime-gpu版本1.22.0，cuda版本12.8，torch版本2.8.0+cu128
Loading pretrained params from /home/el/workspace/ComfyUI/models/TTS/Step-Audio-Tokenizer/dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/model.pt
ckpt: /home/el/workspace/ComfyUI/models/TTS/Step-Audio-Tokenizer/dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/model.pt
2025-08-13 17:47:50.946998037 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:50.948061233 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:50.948074278 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
/home/el/python/lib/python3.11/site-packages/diffusers/models/lora.py:393: FutureWarning: LoRACompatibleLinear is deprecated and will be removed in version 1.0.0. Use of LoRACompatibleLinear is deprecated. Please switch to PEFT backend by installing PEFT: pip install peft.
deprecate("LoRACompatibleLinear", "1.0.0", deprecation_message)
input frame rate=41.667
/home/el/python/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
WeightNorm.apply(module, name, dim)
2025-08-13 17:47:54.494667049 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:54.495872920 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:54.495890362 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
input frame rate=41.667
2025-08-13 17:47:56.868152297 [W:onnxruntime:, transformer_memcpy.cc:83 ApplyImpl] 10 Memcpy nodes are added to the graph main_graph for CUDAExecutionProvider. It might have negative impact on performance (including unable to run CUDA graph). Set session_options.log_severity_level=1 to see the detail logs before this message.
2025-08-13 17:47:56.869485411 [W:onnxruntime:, session_state.cc:1280 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2025-08-13 17:47:56.869501912 [W:onnxruntime:, session_state.cc:1282 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:213: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.load_with_torchcodec under the hood. Some parameters like normalize, format, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's decoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.decoders.AudioDecoder.html#torchcodec.decoders.AudioDecoder.
warnings.warn(
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:337: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.save_with_torchcodec under the hood. Some parameters like format, encoding, bits_per_sample, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's encoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.encoders.AudioEncoder
warnings.warn(
/home/el/python/lib/python3.11/site-packages/torchaudio/_backend/utils.py:213: UserWarning: In 2.9, this function's implementation will be changed to use torchaudio.load_with_torchcodec under the hood. Some parameters like normalize, format, buffer_size, and backend will be ignored. We recommend that you port your code to rely directly on TorchCodec's decoder instead: https://docs.pytorch.org/torchcodec/stable/generated/torchcodec.decoders.AudioDecoder.html#torchcodec.decoders.AudioDecoder.
warnings.warn(
/home/el/workspace/ComfyUI/custom_nodes/ComfyUI_StepAudioTTS/funasr_detach/models/paraformer_streaming/model.py:178: FutureWarning: torch.cuda.amp.autocast(args...) is deprecated. Please use torch.amp.autocast('cuda', args...) instead.
with autocast(False):