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dohe0342 2023-01-09 19:53:01 +09:00
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egs/librispeech/ASR/incremental_transf/.model.py.swp
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egs/librispeech/ASR/incremental_transf/model.py
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@ -256,6 +256,7 @@ class Interformer(nn.Module):
with torch.cuda.amp.autocast(enabled=False): with torch.cuda.amp.autocast(enabled=False):
for inter_output, pt_output in zip(inter_layer_outputs, pt_layer_outputs): for inter_output, pt_output in zip(inter_layer_outputs, pt_layer_outputs):
mse_loss = self.mse(inter_output, pt_output) mse_loss = self.mse(inter_output, pt_output)
loss += mse_loss
''' '''
simple_loss, (px_grad, py_grad) = k2.rnnt_loss_smoothed( simple_loss, (px_grad, py_grad) = k2.rnnt_loss_smoothed(
lm=lm.float(), lm=lm.float(),