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/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/conv.py:306: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)
return F.conv1d(input, weight, bias, self.stride,
[DESKTOP-PQV8NDO] 2024-04-16 14:56:40,650 (codec_basic:648) INFO: Will update discriminator: forward_step=0, disc_loss=2.0000, gen_loss=0.0000
Traceback (most recent call last):
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/mnt/e/000/FunCodec-master/funcodec/bin/codec_train.py", line 48, in
main(args=args)
File "/mnt/e/000/FunCodec-master/funcodec/bin/codec_train.py", line 23, in main
GANSpeechCodecTask.main(args=args, cmd=cmd)
File "/mnt/e/000/FunCodec-master/funcodec/tasks/abs_task.py", line 1130, in main
cls.main_worker(args)
File "/mnt/e/000/FunCodec-master/funcodec/tasks/abs_task.py", line 1431, in main_worker
cls.trainer.run(
File "/mnt/e/000/FunCodec-master/funcodec/train/trainer.py", line 308, in run
all_steps_are_invalid, max_update_stop = cls.train_one_epoch(
File "/mnt/e/000/FunCodec-master/funcodec/train/gan_trainer.py", line 185, in train_one_epoch
retval = model(turn == "generator", batch)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 324, in forward
return self._forward_generator(
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 528, in _forward_generator
orig_mel, recon_mel = map(mel_transform, (orig_speech, recon_speech))
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 66, in forward
mel_output = torch.matmul(self.mel_basis, power_spec)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (64x513 and 4x513)
The text was updated successfully, but these errors were encountered:
/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/conv.py:306: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)
return F.conv1d(input, weight, bias, self.stride,
[DESKTOP-PQV8NDO] 2024-04-16 14:56:40,650 (codec_basic:648) INFO: Will update discriminator: forward_step=0, disc_loss=2.0000, gen_loss=0.0000
Traceback (most recent call last):
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/mnt/e/000/FunCodec-master/funcodec/bin/codec_train.py", line 48, in
main(args=args)
File "/mnt/e/000/FunCodec-master/funcodec/bin/codec_train.py", line 23, in main
GANSpeechCodecTask.main(args=args, cmd=cmd)
File "/mnt/e/000/FunCodec-master/funcodec/tasks/abs_task.py", line 1130, in main
cls.main_worker(args)
File "/mnt/e/000/FunCodec-master/funcodec/tasks/abs_task.py", line 1431, in main_worker
cls.trainer.run(
File "/mnt/e/000/FunCodec-master/funcodec/train/trainer.py", line 308, in run
all_steps_are_invalid, max_update_stop = cls.train_one_epoch(
File "/mnt/e/000/FunCodec-master/funcodec/train/gan_trainer.py", line 185, in train_one_epoch
retval = model(turn == "generator", batch)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 324, in forward
return self._forward_generator(
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 528, in _forward_generator
orig_mel, recon_mel = map(mel_transform, (orig_speech, recon_speech))
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/rian0532/anaconda3/envs/py39Ubuntu/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/e/000/FunCodec-master/funcodec/models/codec_basic.py", line 66, in forward
mel_output = torch.matmul(self.mel_basis, power_spec)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (64x513 and 4x513)
The text was updated successfully, but these errors were encountered: