Windows Specific Filename bugfix (#58)

* Fixed typeerror (torch.index_select received an invalid combination of arguments)

  File "synthesis.py", line 137, in <module>
    model, text, p=replace_pronunciation_prob, speaker_id=speaker_id, fast=True)
  File "synthesis.py", line 66, in tts
    sequence, text_positions=text_positions, speaker_ids=speaker_ids)
  File "H:\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 325, in __call__
    result = self.forward(*input, **kwargs)
  File "H:\Tensorflow_Study\git\deepvoice3_pytorch\deepvoice3_pytorch\__init__.py", line 79, in forward
    text_positions, frame_positions, input_lengths)
  File "H:\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 325, in __call__
    result = self.forward(*input, **kwargs)
  File "H:\Tensorflow_Study\git\deepvoice3_pytorch\deepvoice3_pytorch\__init__.py", line 116, in forward
    text_sequences, lengths=input_lengths, speaker_embed=speaker_embed)
  File "H:\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 325, in __call__
    result = self.forward(*input, **kwargs)
  File "H:\Tensorflow_Study\git\deepvoice3_pytorch\deepvoice3_pytorch\deepvoice3.py", line 75, in forward
    x = self.embed_tokens(text_sequences) <- change this to long!
  File "H:\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 325, in __call__
    result = self.forward(*input, **kwargs)
  File "H:\envs\pytorch\lib\site-packages\torch\nn\modules\sparse.py", line 103, in forward
    self.scale_grad_by_freq, self.sparse
  File "H:\envs\pytorch\lib\site-packages\torch\nn\_functions\thnn\sparse.py", line 59, in forward
    output = torch.index_select(weight, 0, indices.view(-1))
TypeError: torch.index_select received an invalid combination of arguments - got (�[32;1mtorch.cuda.FloatTensor�[0m, �[32;1mint�[0m, �[31;1mtorch.cuda.IntTensor�[0m), but expected (torch.cuda.FloatTensor source, int dim, torch.cuda.LongTensor index)

changed text_sequence to long, as required by torch.index_select.

* Fixed Nonetype error in collect_features

* requirements.txt fix

* Memory Leakage bugfix + hparams change

* Pre-PR modifications

* Pre-PR modifications 2

* Pre-PR modifications 3

* Post-PR modification

* remove requirements.txt

* num_workers to 1 in train.py

* Windows log filename bugfix

* Revert "Windows log filename bugfix"

This reverts commit 5214c24.

* merge 2

* Windows Filename bugfix

In windows, this causes WinError 123

* Cleanup before PR

train.py

@@ -950,7 +950,10 @@ def restore_parts(path, model):
 
     # Setup summary writer for tensorboard
     if log_event_path is None:
-        log_event_path = "log/run-test" + str(datetime.now()).replace(" ", "_")
+        if platform.system() == "Windows":
+            log_event_path = "log/run-test" + str(datetime.now()).replace(" ", "_").replace(":","_")
+        else:
+            log_event_path = "log/run-test" + str(datetime.now()).replace(" ", "_")
     print("Los event path: {}".format(log_event_path))
     writer = SummaryWriter(log_dir=log_event_path)