reminisce opened a new pull request #15073: Restore save/load ndarray to 1.4.1
URL: https://github.com/apache/incubator-mxnet/pull/15073
 
 
   ## Description ##
   This PR restores the `NDArray::Save/Load` functions to 1.4.1 for keeping 
backward compatibility for saving/loading zero-size tensors. The issue was 
reported in 
https://github.com/apache/incubator-mxnet/issues/14954#issuecomment-492867737 
by @DickJC123.
   
   This PR depends on https://github.com/apache/incubator-mxnet/pull/15063. I 
will rebase this PR after https://github.com/apache/incubator-mxnet/pull/15063 
is merged.
   
   @DickJC123 Since we are not going to have the NumPy shape semantics in the 
next release, I simply reverted the changes for serialization functions 
introduced by https://github.com/apache/incubator-mxnet/pull/14661. After 
careful thinking, I find that it's required to depend on the compatibility mode 
to save/load ndarrays in legacy/numpy shape semantics (we will also need a 
magic version number to guard this when loading). We will deal with it after 
introducing NumPy operators. Right now, I added `CHECK` in save/load functions 
indicating that numpy shape semantics cannot be turned on.
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [x] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [ ] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] 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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