Comments (5)
Thank! Confirmed now its fixed.
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Can you pull from master and confirm that the unspecified tensorflow requirements in the requirments.txt file work for you?
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I got another problem when updating repo to 2c545ac
$ python train.py --output_directory=outdir --log_directory=logdir
FP16 Run: False
Dynamic Loss Scaling True
Distributed Run: False
cuDNN Enabled: True
cuDNN Benchmark: False
/home/syoyo/work/tacotron2/layers.py:35: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.
self.conv.weight, gain=torch.nn.init.calculate_gain(w_init_gain))
/home/syoyo/work/tacotron2/layers.py:15: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.
gain=torch.nn.init.calculate_gain(w_init_gain))
Epoch: 0
Traceback (most recent call last):
File "train.py", line 285, in <module>
args.warm_start, args.n_gpus, args.rank, args.group_name, hparams)
File "train.py", line 210, in train
y_pred = model(x)
File "/home/syoyo/miniconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "/home/syoyo/work/tacotron2/model.py", line 522, in forward
"constant", 0)
File "/home/syoyo/miniconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 1929, in pad
return ConstantPadNd.apply(input, pad, value)
File "/home/syoyo/miniconda3/lib/python3.6/site-packages/torch/nn/_functions/padding.py", line 27, in forward
output = input.new(input.size()[:(ctx.l_diff)] + new_dim).fill_(ctx.value)
TypeError: torch.Size() takes an iterable of 'int' (item 3 is 'Tensor')
I'm using pytorch 0.4 and an error happens both tensorflow 1.6.0 and 1.8.0(no versioning in requirements.txt
)
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same error as other issue.
See https://github.com/NVIDIA/tacotron2/tree/padding-patch-0.4 should work now.
will merge in an hour or so when others are convince as well :)
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@syoyo please pull from master and confirm that it works for you.
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