xilorole / raptgen Goto Github PK

saving to /content/drive/MyDrive/colab/RaptGen/out/decode
Traceback (most recent call last):
  File "scripts/decode.py", line 111, in <module>
    main()
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "scripts/decode.py", line 53, in main
    arr = df.values[:,1:].astype(float)
ValueError: could not convert string to float: 'UGUAUAUGA'

saving to /content/drive/MyDrive/colab/RaptGen/out/decode
loading model parameters
Traceback (most recent call last):
  File "scripts/decode.py", line 111, in <module>
    main()
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "scripts/decode.py", line 58, in main
    model.load_state_dict(torch.load(model_path))
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1671, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for CNN_PHMM_VAE:
	size mismatch for decoder.tr_from_M.2.weight: copying a param with shape torch.Size([30, 32]) from checkpoint, the shape in current model is torch.Size([63, 32]).
	size mismatch for decoder.tr_from_M.2.bias: copying a param with shape torch.Size([30]) from checkpoint, the shape in current model is torch.Size([63]).
	size mismatch for decoder.tr_from_I.2.weight: copying a param with shape torch.Size([20, 32]) from checkpoint, the shape in current model is torch.Size([42, 32]).
	size mismatch for decoder.tr_from_I.2.bias: copying a param with shape torch.Size([20]) from checkpoint, the shape in current model is torch.Size([42]).
	size mismatch for decoder.tr_from_D.2.weight: copying a param with shape torch.Size([20, 32]) from checkpoint, the shape in current model is torch.Size([42, 32]).
	size mismatch for decoder.tr_from_D.2.bias: copying a param with shape torch.Size([20]) from checkpoint, the shape in current model is torch.Size([42]).
	size mismatch for decoder.emission.2.weight: copying a param with shape torch.Size([36, 32]) from checkpoint, the shape in current model is torch.Size([80, 32]).
	size mismatch for decoder.emission.2.bias: copying a param with shape torch.Size([36]) from checkpoint, the shape in current model is torch.Size([80]).