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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/25 07:41:23 UTC

[GitHub] szha closed pull request #8811: fix a typo

szha closed pull request #8811: fix a typo
URL: https://github.com/apache/incubator-mxnet/pull/8811
 
 
   

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diff --git a/docs/faq/model_parallel_lstm.md b/docs/faq/model_parallel_lstm.md
index cdf0128e20..3aab7d3e0c 100644
--- a/docs/faq/model_parallel_lstm.md
+++ b/docs/faq/model_parallel_lstm.md
@@ -12,7 +12,7 @@ powerful heterogeneous hardware environments to achieve significant speedups.
 
 There are two primary ways that we can spread a workload across multiple devices.
 In a previous document, [we addressed data parallelism](./multi_devices.md),
-an approach in which examples within a batch are divided among the available devices.
+an approach in which samples within a batch are divided among the available devices.
 With data parallelism, each device stores a complete copy of the model.
 Here, we explore _model parallelism_, a different approach.
 Instead of splitting the batch among the devices, we partition the model itself.


 

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