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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/04/08 19:39:17 UTC
[GitHub] rahul003 commented on a change in pull request #10435: [MXNET-289] Allow specifying number of batches to run in an epoch to fix hang in dist sync for last epoch
rahul003 commented on a change in pull request #10435: [MXNET-289] Allow specifying number of batches to run in an epoch to fix hang in dist sync for last epoch
URL: https://github.com/apache/incubator-mxnet/pull/10435#discussion_r179958665
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File path: python/mxnet/module/base_module.py
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@@ -511,9 +514,12 @@ def fit(self, train_data, eval_data=None, eval_metric='acc',
self.forward_backward(data_batch)
self.update()
try:
- # pre fetch next batch
- next_data_batch = next(data_iter)
- self.prepare(next_data_batch, sparse_row_id_fn=sparse_row_id_fn)
+ if epoch_size and (nbatch == epoch_size - 1):
Review comment:
No, this is an argument that allows early stopping of loop in a way because different machines can have different number of samples. It can't run into an infinite loop.
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