Yiyan66 opened a new pull request #18660: URL: https://github.com/apache/incubator-mxnet/pull/18660
## Description ## Delete the tests which may cause bug because of the following reasons: 1. There are differences about type inference between NumPy and Deep Numpy when there's a input with shape (): If both inputs of np are of floating number types, the output is the more precise type, while onp will use the type of the matrix with higher dimension. ```python from mxnet import np, npx npx.set_np() import numpy as _np mx_test_x1 = np.random.uniform(-2, 2, (2,3)).astype(np.float32) mx_test_x2 = np.random.uniform(-2, 2, ()).astype(np.float16) np_out = _np.mod(mx_test_x1.asnumpy(), mx_test_x2.asnumpy()) # float16 mx_out = np.mod(mx_test_x1, mx_test_x2) # float32 ``` 2. As for logical ops, NumPy also has a weird behavior. ```python from mxnet import np, npx npx.set_np() import numpy as _np a = np.array([[1.441]], dtype = np.float16) b = np.array(1.4413278, dtype = np.float32) c = np.array([1.4413278], dtype = np.float32) np.greater(a,b), np.greater(a,c) # True True _np.greater(a.asnumpy(),b.asnumpy()), _np.greater(a.asnumpy(),c.asnumpy()) # False True np.less_equal(a,b), np.less_equal(a,c) # False False _np.less_equal(a.asnumpy(),b.asnumpy()), _np.less_equal(a.asnumpy(),c.asnumpy()) # True False ``` ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes) - [ ] Changes are complete (i.e. I finished coding on this PR) - [ ] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [ ] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html - [ ] To the best of my 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 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
