eric-haibin-lin commented on a change in pull request #14200: Bulked op 
segments to allow Variable nodes
URL: https://github.com/apache/incubator-mxnet/pull/14200#discussion_r259555186
 
 

 ##########
 File path: docs/faq/env_var.md
 ##########
 @@ -115,7 +115,13 @@ $env:MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
   - If set to `1`, during training MXNet executes the computation graph as 
several subgraphs in bulk mode.
 * MXNET_EXEC_BULK_EXEC_MAX_NODE_TRAIN
   - Values: Int ```(default=15)```
-  - The maximum number of nodes in the subgraph executed in bulk during 
training(not inference). Setting this to a larger number may reduce the degree 
of parallelism for multi-GPU training.
+  - The maximum number of nodes in the subgraph executed in bulk during 
training (not inference). Setting this to a larger number may reduce the degree 
of parallelism for multi-GPU training.
 
 Review comment:
   Is there any empirical result showing that using different number of 
max_node for forward/backward provides more speedup? 

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