@@ -107,7 +107,7 @@ def train(model, criterion, data_loader, optimizer, epoch):
# create attention mask
# TODO: vectorize
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])
for t in range(T):
for n in range(N):
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