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passing reduced losses to loss dict

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erogol
2020-04-23 15:46:11 +02:00
parent 6e2c8c6537
commit 3673cc1e30
1 changed files with 3 additions and 3 deletions
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train.py
+3 -3
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@@ -372,10 +372,10 @@ def evaluate(model, criterion, ap, global_step, epoch):
# aggregate losses from processes
if num_gpus > 1:
postnet_loss = reduce_tensor(loss_dict['postnet_loss'].data, num_gpus)
decoder_loss = reduce_tensor(loss_dict['decoder_loss'].data, num_gpus)
loss_dict['postnet_loss'] = reduce_tensor(loss_dict['postnet_loss'].data, num_gpus)
loss_dict['decoder_loss'] = reduce_tensor(loss_dict['decoder_loss'].data, num_gpus)
if c.stopnet:
stopnet_loss = reduce_tensor(loss_dict['stopnet_loss'].data, num_gpus)
loss_dict['stopnet_loss'] = reduce_tensor(loss_dict['stopnet_loss'].data, num_gpus)
keep_avg.update_values({
'avg_postnet_loss':