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guided attn #11

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Eren Golge 2018-04-24 11:39:58 -07:00
parent 830a051a78
commit e87d7d8d26
1 changed files with 1 additions and 1 deletions
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train.py
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@ -107,7 +107,7 @@ def train(model, criterion, data_loader, optimizer, epoch):
# create attention mask # create attention mask
# TODO: vectorize # TODO: vectorize
N = text_input_var.shape[1] N = text_input_var.shape[1]
T = mel_spec_var.shape[1] / c.r T = mel_spec_var.shape[1] // c.r
M = np.zeros([N, T]) M = np.zeros([N, T])
for t in range(T): for t in range(T):
for n in range(N): for n in range(N):