reminisce opened a new pull request #12157: Subgraph API for integrating 
accelerators with MXNet
URL: https://github.com/apache/incubator-mxnet/pull/12157
 
 
   ## Description ##
   This is a joint work of @reminisce and @zheng-da on implementing subgraph 
API for integrating backend accelerators (TVM, MKLDNN, TensorRT, nGraph, etc.) 
with MXNet. See [design 
proposal](https://cwiki.apache.org/confluence/display/MXNET/Unified+integration+with+external+backend+libraries).
   
   ## Highlighted deliverables
   - A graph partitioning algorithm accepting custom partitioning rules 
(through subclassing `SubgraphProperty`).
   - A naive graph partitioning rule called `DefaultSubgraphProperty` 
partitioning graphs based upon provided operator names. For example, in the 
left graph, operators B and C are designated to be grouped into a subgraph 
operator node. After applying the partitioning algorithm, nodes B and C are 
replaced by a subgraph operator node in the graph on the right-hand-side.
   
![image](https://user-images.githubusercontent.com/4978794/44073224-a7ef9318-9f47-11e8-8325-b03af5157e7a.png)
   
   
   - `DefaultSubgraphOperator`. A stateful operator storing a subgraph for 
execution by `CachedOp`.
   - `NDArray` version number for tracking mutations of `NDArray`s. This is 
useful, for example, in a stateful MKLDNN subgraph operator for checking 
whether input data has changed since the last forward call to decide if to 
trigger data format conversion.
   - Graph partitioning enabled in `GraphExecutor` for the forward pass. 
Triggered by an environment variable `MXNET_SUBGRAPH_BACKEND`. For example, 
`MXNET_SUBGRAPH_BACKEND=default`, see `example/subgraph_op` for more 
information.
   
   ## Coming soon after this PR
   - Backward pass support in `DefaultSubgraphOperator`.
   - Support graph partitioning for Gluon/CacheOp.
   - Tutorial for developers on integrating backend accelerators using the 
Subgraph API.
   - Real backend accelerator integration with MXNet.
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [x] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [x] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [x] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change

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