[2020-09-30 00:18:43,333][__main__][INFO] - For logs, checkpoints and samples check /Users/youssef/denoiser/outputs/exp_
[2020-09-30 00:18:44,810][denoiser.solver][INFO] - Fine tuning from pre-trained model dns64
Downloading: "https://dl.fbaipublicfiles.com/adiyoss/denoiser/dns64-a7761ff99a7d5bb6.th" to /Users/youssef/.cache/torch/checkpoints/dns64-a7761ff99a7d5bb6.th
100%|#################################################################################################################################| 128M/128M [02:00<00:00, 1.12MB/s]
[2020-09-30 00:20:47,197][__main__][ERROR] - Some error happened
Traceback (most recent call last):
File "train.py", line 99, in main
_main(args)
File "train.py", line 93, in _main
run(args)
File "train.py", line 75, in run
solver = Solver(data, model, optimizer, args)
File "/Users/youssef/denoiser/denoiser/solver.py", line 70, in __init__
self._reset()
File "/Users/youssef/denoiser/denoiser/solver.py", line 123, in _reset
self.model.load_state_dict(model.state_dict())
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/torch/nn/modules/module.py", line 847, in load_state_dict
self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Demucs:
size mismatch for encoder.0.0.weight: copying a param with shape torch.Size([64, 1, 8]) from checkpoint, the shape in current model is torch.Size([48, 1, 8]).
size mismatch for encoder.0.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([48]).
size mismatch for encoder.0.2.weight: copying a param with shape torch.Size([128, 64, 1]) from checkpoint, the shape in current model is torch.Size([96, 48, 1]).
size mismatch for encoder.0.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([96]).
size mismatch for encoder.1.0.weight: copying a param with shape torch.Size([128, 64, 8]) from checkpoint, the shape in current model is torch.Size([96, 48, 8]).
size mismatch for encoder.1.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([96]).
size mismatch for encoder.1.2.weight: copying a param with shape torch.Size([256, 128, 1]) from checkpoint, the shape in current model is torch.Size([192, 96, 1]).
size mismatch for encoder.1.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([192]).
size mismatch for encoder.2.0.weight: copying a param with shape torch.Size([256, 128, 8]) from checkpoint, the shape in current model is torch.Size([192, 96, 8]).
size mismatch for encoder.2.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([192]).
size mismatch for encoder.2.2.weight: copying a param with shape torch.Size([512, 256, 1]) from checkpoint, the shape in current model is torch.Size([384, 192, 1]).
size mismatch for encoder.2.2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([384]).
size mismatch for encoder.3.0.weight: copying a param with shape torch.Size([512, 256, 8]) from checkpoint, the shape in current model is torch.Size([384, 192, 8]).
size mismatch for encoder.3.0.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([384]).
size mismatch for encoder.3.2.weight: copying a param with shape torch.Size([1024, 512, 1]) from checkpoint, the shape in current model is torch.Size([768, 384, 1]).
size mismatch for encoder.3.2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for encoder.4.0.weight: copying a param with shape torch.Size([1024, 512, 8]) from checkpoint, the shape in current model is torch.Size([768, 384, 8]).
size mismatch for encoder.4.0.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for encoder.4.2.weight: copying a param with shape torch.Size([2048, 1024, 1]) from checkpoint, the shape in current model is torch.Size([1536, 768, 1]).
size mismatch for encoder.4.2.bias: copying a param with shape torch.Size([2048]) from checkpoint, the shape in current model is torch.Size([1536]).
size mismatch for decoder.0.0.weight: copying a param with shape torch.Size([2048, 1024, 1]) from checkpoint, the shape in current model is torch.Size([1536, 768, 1]).
size mismatch for decoder.0.0.bias: copying a param with shape torch.Size([2048]) from checkpoint, the shape in current model is torch.Size([1536]).
size mismatch for decoder.0.2.weight: copying a param with shape torch.Size([1024, 512, 8]) from checkpoint, the shape in current model is torch.Size([768, 384, 8]).
size mismatch for decoder.0.2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([384]).
size mismatch for decoder.1.0.weight: copying a param with shape torch.Size([1024, 512, 1]) from checkpoint, the shape in current model is torch.Size([768, 384, 1]).
size mismatch for decoder.1.0.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for decoder.1.2.weight: copying a param with shape torch.Size([512, 256, 8]) from checkpoint, the shape in current model is torch.Size([384, 192, 8]).
size mismatch for decoder.1.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([192]).
size mismatch for decoder.2.0.weight: copying a param with shape torch.Size([512, 256, 1]) from checkpoint, the shape in current model is torch.Size([384, 192, 1]).
size mismatch for decoder.2.0.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([384]).
size mismatch for decoder.2.2.weight: copying a param with shape torch.Size([256, 128, 8]) from checkpoint, the shape in current model is torch.Size([192, 96, 8]).
size mismatch for decoder.2.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([96]).
size mismatch for decoder.3.0.weight: copying a param with shape torch.Size([256, 128, 1]) from checkpoint, the shape in current model is torch.Size([192, 96, 1]).
size mismatch for decoder.3.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([192]).
size mismatch for decoder.3.2.weight: copying a param with shape torch.Size([128, 64, 8]) from checkpoint, the shape in current model is torch.Size([96, 48, 8]).
size mismatch for decoder.3.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([48]).
size mismatch for decoder.4.0.weight: copying a param with shape torch.Size([128, 64, 1]) from checkpoint, the shape in current model is torch.Size([96, 48, 1]).
size mismatch for decoder.4.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([96]).
size mismatch for decoder.4.2.weight: copying a param with shape torch.Size([64, 1, 8]) from checkpoint, the shape in current model is torch.Size([48, 1, 8]).
size mismatch for lstm.lstm.weight_ih_l0: copying a param with shape torch.Size([4096, 1024]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for lstm.lstm.weight_hh_l0: copying a param with shape torch.Size([4096, 1024]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for lstm.lstm.bias_ih_l0: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([3072]).
size mismatch for lstm.lstm.bias_hh_l0: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([3072]).
size mismatch for lstm.lstm.weight_ih_l1: copying a param with shape torch.Size([4096, 1024]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for lstm.lstm.weight_hh_l1: copying a param with shape torch.Size([4096, 1024]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for lstm.lstm.bias_ih_l1: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([3072]).
size mismatch for lstm.lstm.bias_hh_l1: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([3072]).
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