Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/43456
Introduce the template OperatorGenerator, which returns an optional Operator. It's null if the templated bool value is null.
RegisterOperators() is updated to take the optional Operator. A null will not be registered.
With this update the selective operator registration can be done at compile time. Tests are added to show an operator can be registered if it's in a whitelist and it will not be registered if it's not in the whitelist.
Test Plan: Imported from OSS
Reviewed By: ljk53
Differential Revision: D23283563
Pulled By: iseeyuan
fbshipit-source-id: 456e0c72b2f335256be800aeabb797bd83bcf0b3
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37034
c10 takes a Stack* in boxed functions while JIT took Stack&.
c10 doesn't return anything while JIT returns an int which is always zero.
This changes JIT to follow the c10 behavior.
ghstack-source-id: 106834069
Test Plan: unit tests
Differential Revision: D20567950
fbshipit-source-id: 1a7aea291023afc52ae706957e9a5ca576fbb53b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35115
This commit runs the newly added tools/clang_format.py on the JIT
codebase and includes all of the formatting changes thus produced.
Testing:
Ran the script, CI.
Test Plan: Imported from OSS
Reviewed By: eellison
Differential Revision: D20568523
Pulled By: SplitInfinity
fbshipit-source-id: e09bdb982ccf090eecfb7c7b461b8d0681eef82b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34515
Once upon a time we thought this was necessary. In reality it is not, so
removing it.
For backcompat, our public interface (defined in `api/`) still has
typedefs to the old `script::` names.
There was only one collision: `Pass` as a `Stmt` and `Pass` as a graph
transform. I renamed one of them.
Test Plan: Imported from OSS
Differential Revision: D20353503
Pulled By: suo
fbshipit-source-id: 48bb911ce75120a8c9e0c6fb65262ef775dfba93
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29213
A trivial use of make_variable is one where requires_grad=False. This
transformation is not technically semantics preserving, as make_variable
will create a shallow copy of the tensor in question; however, I
am guessing that we have the invariant that we don't actually make
use of this shallow copy in a nontrivial way.
There were some cases where the surrounding code expected a Variable proper
to be returned; I retained those sites.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Test Plan: Imported from OSS
Differential Revision: D18353503
Pulled By: ezyang
fbshipit-source-id: 57fe34d82e009c0cc852266fb0b79d6d9c62bb03
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24801
This is to fix the ODR-violations in fbcode static builds, which have been broken for several months.
This PR is unfortunately quite large, but the changes are only mechanical:
1. Tests defined in header files -> tests defined in cpp files
2. Remove the `torch::jit::testing` namespace -> `torch::jit`.
3. Single `test.h` file that aggregates all tests.
4. Separate out files for gtest and python versions of the tests instead of using a build flag
5. Add a readme for how to add a new test, and explaining a bit about why the cpp tests are the way they are.
Test Plan: Imported from OSS
Differential Revision: D16878605
Pulled By: suo
fbshipit-source-id: 27b5c077dadd990a5f74e25d01731f9c1f491603
