Lab3 ctc loss causes Error

[mprostock]

When running Lab 3 commands from the readme that use ctc loss, this error it thrown

    preds = torch.nn.functional.softmax(preds, dim=-1)
  File "/home/xxx/anaconda3/envs/fsdl/lib/python3.6/site-packages/torch/nn/functional.py", line 1512, in softmax
    ret = input.softmax(dim)
RuntimeError: "host_softmax" not implemented for 'Int'

This is due to the previous fix of the accuracy problem. The decoded content cannot be passed to the Accuracy-Metric Hack, the original Accuracy from pl.metrics should be used instead.

[mazarbaloch]

Same error.

[oOXpycTOo]

I put .float() after preds and it worked just fine.

[sanggusti]

I put .float() after preds and it worked just fine.

Still not working. Invoking error:

ValueError: If `preds` and `target` are of shape (N, ...) and `preds` are floats, `target` should be binary.

[sanggusti]

Solving this issue by commenting out the run around predictions method #34