haojin2 opened a new pull request #15653: Numpy-compatible Interface Test Coverage URL: https://github.com/apache/incubator-mxnet/pull/15653 ## Description ## As title. Making up for some omitted test during development. ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes) - [ ] Changes are complete (i.e. I finished coding on this PR) - [ ] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [ ] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$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 ### Changes ### - [x] np.transpose unit test - [ ] npx.relu unit test - [ ] npx.sigmoid unit test - [ ] np.reshape unit test - [ ] np.maximum unit test - [ ] np.minimum unit test - [ ] np.flatten unit test - [ ] np.broadcast_to unit test - [ ] np.meshgrid unit test - [ ] np.broadcast_arrays unit test ## Comments ## flakiness checks: ``` MXNET_TEST_COUNT=10000 nosetests tests/python/unittest/test_numpy_op.py:test_np_transpose . ---------------------------------------------------------------------- Ran 1 test in 1225.296s OK MXNET_TEST_COUNT=10000 nosetests tests/python/gpu/test_operator_gpu.py:test_np_transpose [INFO] Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=1127698324 to reproduce. . ---------------------------------------------------------------------- Ran 1 test in 1461.394s OK ```
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