[GitHub] rahul003 opened a new pull request #9933: Adding support to profile kvstore server during distributed training

[GitBox <gi...@apache.org>]

rahul003 opened a new pull request #9933: Adding support to profile kvstore server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933
 
 
   ## Description ##
   Allows profiling of kvstore server through the python kvstore API
   
   kv.set_server_profiler_config
   kv.set_server_profiler_state
   
   Uses kvstore dist's support for sending command to servers to communicate messages from worker to server regarding profiling.
   
   ## 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 ###
   - [ ] Changes in c_api and python kvstore to add functions to set profiler configs, state, etc
   - [ ] KVDist passes these commands to server
   - [ ] KVDistServer calls the profiler API using above commands
   - [ ] Added an example in common/fit.py to use for all example/image-classification/* scripts
   

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