RVC-Project
Macos15 Sequoia 关于NotImplementedError: Output channels > 65536 not supported at the MPS device.的问题
主要的问题是：
NotImplementedError: Output channels > 65536 not supported at the MPS device. As a temporary fix, you can set the environment variable PYTORCH_ENABLE_MPS_FALLBACK=1 to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.
（个人感觉）一般来说Output channels 应该不会大于65536，是不是因为macos15最新的系统问题或者程序内部跟macos15不兼容的问题？
以下是报错问题终端日志： 2024-11-26 23:12:12 | INFO | configs.config | No supported Nvidia GPU found 2024-11-26 23:12:12 | INFO | configs.config | overwrite v1/32k.json 2024-11-26 23:12:12 | INFO | configs.config | overwrite v1/40k.json 2024-11-26 23:12:12 | INFO | configs.config | overwrite v1/48k.json 2024-11-26 23:12:12 | INFO | configs.config | overwrite v2/48k.json 2024-11-26 23:12:12 | INFO | configs.config | overwrite v2/32k.json 2024-11-26 23:12:12 | INFO | configs.config | overwrite preprocess_per to 3 2024-11-26 23:12:12 | INFO | configs.config | Use mps instead 2024-11-26 23:12:12 | INFO | configs.config | Half-precision floating-point: False, device: mps /opt/miniconda3/lib/python3.9/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Parallel'>: No known documentation group for module 'gradio.mix' warnings.warn(f"Could not get documentation group for {cls}: {exc}") /opt/miniconda3/lib/python3.9/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Series'>: No known documentation group for module 'gradio.mix' warnings.warn(f"Could not get documentation group for {cls}: {exc}") 2024-11-26 23:12:12 | INFO | main | Use Language: en_US
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2024-11-26 23:12:17 | INFO | infer.modules.vc.modules | Get sid: DL.pth
2024-11-26 23:12:17 | INFO | infer.modules.vc.modules | Loading: assets/weights/DL.pth
2024-11-26 23:12:17 | INFO | infer.modules.vc.modules | Select index:
2024-11-26 23:12:25 | INFO | fairseq.tasks.hubert_pretraining | current directory is /Users/wong/Documents/RVC/Retrieval-based-Voice-Conversion-WebUI
2024-11-26 23:12:25 | INFO | fairseq.tasks.hubert_pretraining | HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False}
2024-11-26 23:12:25 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False}
2024-11-26 23:12:26 | INFO | infer.modules.vc.pipeline | Loading rmvpe model,assets/rmvpe/rmvpe.pt
2024-11-26 23:12:28 | WARNING | infer.modules.vc.modules | Traceback (most recent call last):
File "/Users/wong/Documents/RVC/Retrieval-based-Voice-Conversion-WebUI/infer/modules/vc/modules.py", line 188, in vc_single
audio_opt = self.pipeline.pipeline(
File "/Users/wong/Documents/RVC/Retrieval-based-Voice-Conversion-WebUI/infer/modules/vc/pipeline.py", line 410, in pipeline
self.vc(
File "/Users/wong/Documents/RVC/Retrieval-based-Voice-Conversion-WebUI/infer/modules/vc/pipeline.py", line 219, in vc
logits = model.extract_features(**inputs)
File "/opt/miniconda3/lib/python3.9/site-packages/fairseq/models/hubert/hubert.py", line 535, in extract_features
res = self.forward(
File "/opt/miniconda3/lib/python3.9/site-packages/fairseq/models/hubert/hubert.py", line 437, in forward
features = self.forward_features(source)
File "/opt/miniconda3/lib/python3.9/site-packages/fairseq/models/hubert/hubert.py", line 392, in forward_features
features = self.feature_extractor(source)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/fairseq/models/wav2vec/wav2vec2.py", line 895, in forward
x = conv(x)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/container.py", line 250, in forward
input = module(input)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 375, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/opt/miniconda3/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 370, in _conv_forward
return F.conv1d(
NotImplementedError: Output channels > 65536 not supported at the MPS device. As a temporary fix, you can set the environment variable PYTORCH_ENABLE_MPS_FALLBACK=1 to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.
Traceback (most recent call last): File "/opt/miniconda3/lib/python3.9/site-packages/gradio/routes.py", line 437, in run_predict output = await app.get_blocks().process_api( File "/opt/miniconda3/lib/python3.9/site-packages/gradio/blocks.py", line 1349, in process_api data = self.postprocess_data(fn_index, result["prediction"], state) File "/opt/miniconda3/lib/python3.9/site-packages/gradio/blocks.py", line 1283, in postprocess_data prediction_value = block.postprocess(prediction_value) File "/opt/miniconda3/lib/python3.9/site-packages/gradio/components.py", line 2586, in postprocess file_path = self.audio_to_temp_file( File "/opt/miniconda3/lib/python3.9/site-packages/gradio/components.py", line 360, in audio_to_temp_file temp_dir = Path(dir) / self.hash_bytes(data.tobytes()) AttributeError: 'NoneType' object has no attribute 'tobytes'
