eric-haibin-lin opened a new pull request #9887: Non-blocking row_sparse_pull 
URL: https://github.com/apache/incubator-mxnet/pull/9887
 
 
   ## Description ##
   This PR adds async execution support for kv.row_sparse_pull. 
   The operation was blocking because it requires unique row_ids, whose shape 
cannot be inferred ahead of time. This PR stores the unique row_ids in a 
row_sparse NDArray, whose data shape can be changed at run time when executed 
asynchronously. 
   
   - Removed `use_copy` param in `BroadcastRowSparse ` - this is essentially 
the same as calling `Broadcast`
   - Removed `CopyRetainedRowsToGPU ` and always use `SparseRetain` because 
`CopyRetainedRowsToGPU` has high invocation overhead and `SparseRetain` has 
improved performance
   - Revised test cases to test against shapes/dtypes commonly used by users
   
   ## Checklist ##
   ### Essentials ###
   - [ ] Passed code style checking (`make lint`)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] 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)
   - [ ] 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
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] Feature1, tests, (and when applicable, API doc)
   - [ ] Feature2, tests, (and when applicable, API doc)
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be 
made.
   - Interesting edge cases to note here
   
   

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