module compiled against API version 0xc but this version of numpy is 0xb about tacotron2 HOT 5 CLOSED

$ 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')