Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20502
Following D15307410 removing more floating point exceptions in unit tests
Reviewed By: hx89
Differential Revision: D15340930
fbshipit-source-id: 269fc75e0800bc9d39126767a0f3ca15cd8b0cad
Summary:
Followup to [the serialized test framework](https://github.com/pytorch/pytorch/pull/10594)
Round 1 for refactoring tests, starting alphabetically. I added some functionality, so I wanted to send out some of these initial changes sooner.
I'm skipping all tests that don't explicitly call assertReferenceChecks. Some tests directly call np.allclose, and others are simply TestCase (rather than HypothesisTestCase).
1. Start alphabetically producing serialized outputs for test functions, annotating those we want to include with `serialized_test_util.given`. So far I've only added one test per operator, but this already does seem to add quite a few tests.
2. Add functionality to allow us to generate outputs using pytest by adding pytest argument options. This allows us to skip adding a `__main__` function to quite a few tests.
3. Catch any exceptions generating the gradient operator and skip serializing/reading it, since certain operators don't have gradients.
4. Add functionality to better handle jagged array inputs, which numpy doesn't handle very well. We simply explicitly do the conversion to dtype=object.
5. Make only one file per test function, rather than 4, to reduce the number of files in the github repo.
I also noticed that there is some hypothesis handling that makes `serialized_test_util.given` not compatible with adding more hypothesis decorators on top. For example, there are tests that do
```
settings(...)
given(...)
def test_my_stuff(...)
```
But there is a hypothesis handler that explicitly checks that `given` is called below `settings`, so we cannot refactor this to `serialized_test_util.given`. I've just avoided decorating these kinds of tests for now, I hope that's alright.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11350
Reviewed By: houseroad
Differential Revision: D9693857
Pulled By: ajyu
fbshipit-source-id: a9b4279afbe51c90cf2025c5ac6b2db2111f4af7
Summary: Equivalent to numpy.sign for CPU and CUDA.
Reviewed By: dzhulgakov
Differential Revision: D5906446
fbshipit-source-id: 389f994bccbb87a62df2c4aaacc327f9a6223cbd
2017-09-26 09:17:45 -07:00
Renamed from caffe2/python/operator_test/pow_op_test.py (Browse further)
