[GitHub] asitstands opened a new pull request #10258: [MXNET-145] Remove the dependences of mx.io and mx.initializer on the numpy's global random number generator

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

asitstands opened a new pull request #10258: [MXNET-145]  Remove the dependences of mx.io and mx.initializer on the numpy's global random number generator
URL: https://github.com/apache/incubator-mxnet/pull/10258
 
 
   ## Description ##
   
   This PR removes the dependences of `mx.io` and `mx.initializer` on the numpy's global random number generator. The dependences are not sound as they introduce unnecessary coupling with user's environment and confuse newcomers about seeding. 
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [x] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes)
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
   - [x] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments are documented. 
   - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
   - Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$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
   
   ## Comments ##
   - If this PR is accepted, I'll make similar PRs removing the dependences on python's and numpy's global random number generators from `rnn/io`, `gluon`'s samplers and so on.
   
   

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