This is a new version of #15648 based on the latest master branch.
Unlike the previous PR where I fixed a lot of the doctests in addition to integrating xdoctest, I'm going to reduce the scope here. I'm simply going to integrate xdoctest, and then I'm going to mark all of the failing tests as "SKIP". This will let xdoctest run on the dashboards, provide some value, and still let the dashboards pass. I'll leave fixing the doctests themselves to another PR.
In my initial commit, I do the bare minimum to get something running with failing dashboards. The few tests that I marked as skip are causing segfaults. Running xdoctest results in 293 failed, 201 passed tests. The next commits will be to disable those tests. (unfortunately I don't have a tool that will insert the `#xdoctest: +SKIP` directive over every failing test, so I'm going to do this mostly manually.)
Fixes https://github.com/pytorch/pytorch/issues/71105
@ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/82797
Approved by: https://github.com/ezyang
Summary:
Also move the ignores for imports to the bottom in `mypy.ini`, those are much less interesting - start with the stuff people want to work on.
Second commit tests the instructions: remove an ignore, fix the issue.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37594
Differential Revision: D21434858
Pulled By: ezyang
fbshipit-source-id: 4f1a6868cdb4cb59d072bcf105f48c3a5ba3ff98
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36815
Pytorch does not have native channel shuffle op.
This diff adds that for both fp and quantized tensors.
For FP implementation is inefficient one. For quantized there is a native
QNNPACK op for this.
ghstack-source-id: 103267234
Test Plan:
buck run caffe2/test:quantization --
quantization.test_quantized.TestQuantizedOps.test_channel_shuffle
X86 implementation for QNNPACK is sse2 so this may not be the most efficient
for x86.
Reviewed By: dreiss
Differential Revision: D21093841
fbshipit-source-id: 5282945f352df43fdffaa8544fe34dba99a5b97e
