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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/01/28 02:11:54 UTC

[GitHub] eric-haibin-lin commented on a change in pull request #51: Fixed scala namespace links

eric-haibin-lin commented on a change in pull request #51: Fixed scala namespace links
URL: https://github.com/apache/incubator-mxnet-site/pull/51#discussion_r164286870
 
 

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 File path: versions/master/_sources/faq/model_parallel_lstm.txt
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 @@ -65,15 +65,15 @@ Although the LSTM layers consume less memory than the decoder/encoder layers, th
 Thus, the partition on the left will be faster than the one on the right
 because the workload is more evenly distributed.
 
-Currently, the layer partition is implemented in [lstm.py](https://github.com/apache/incubator-mxnet/blob/master/example/model-parallel/lstm/lstm.py#L171) and configured in [lstm_ptb.py](https://github.com/apache/incubator-mxnet/blob/master/example/model-parallel/lstm/lstm_ptb.py#L97-L102) using the `group2ctx` option.
+Currently, the layer partition is implemented in [lstm.py](https://github.com/eric-haibin-lin/mxnet/blob/master/example/model-parallel-lstm/lstm.py#L187) and configured in [lstm_ptb.py](https://github.com/eric-haibin-lin/mxnet/blob/master/example/model-parallel-lstm/lstm.py#L187) using the `group2ctx` option.
 
 Review comment:
   why revert this?

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