@@ -106,7 +106,7 @@ def train(model, criterion, data_loader, optimizer, epoch):
# create attention mask
# TODO: vectorize
print(tet_input_var.shape)
print(text_input_var.shape)
print(mel_spec_var.shape)
N = text_input_var.shape[1]
T = mel_spec_var.shape[1]
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