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[DO NOT SQUASH MERGE] NumPy staged PRs #16248
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* change the test code * add @use_np in test code * only support float16, float32 and float64. * fix format error * remove redundant backslash * change wrapper in symbol * delete gpu test * edit test * change infer type * remove redundant **kwargs * change atol and rtol in test * edit test shape
* add cpu test and handle 0-dim * add FGradient with MakeZeroGradNodes * handle 0-dim and 0-shape and add test on gpu * add doc * fix bug in review * do not use thrust::inclusive_scan on cpu * fix format error * edit test and remove gpu test The output is same as numpy.transpose(numpy.nonzero(x)) * fix error of review * edit test
* rebase master * edit test * add IsIntType to check the input type * fix error in test * remove hypot in doc
* fix format error * change type * constangt must be tvm.const in tvm and add backward test, do not support float16 * add addto test * handle 0-dim and 0-size * add 0-dim test case * register to npi and add wrapper with doc * change function name, add infer type * fix format error * merge rad2deg to deg2rad * fix error according to review * change infer type * add TVM_OP in test
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Description
DO NOT SQUASH COMMITS TO MERGE. We would like to keep the record of the original PR author.
This PR contains four PRs that have been code reviewed and approved. They were originally submitted to the master branch in separate PRs. To avoid triggering CI too many times due to conflict resolution, this PR is created to merge them once for all.
Reference PRs:
Checklist
Essentials
Please feel free to remove inapplicable items for your PR.