Summary:
As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH`
All changes but the ones to `.clang-tidy` are generated using following script:
```
for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008
Reviewed By: driazati, r-barnes
Differential Revision: D29838584
Pulled By: malfet
fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
Summary:
This is an automatic change generated by the following script:
```
#!/usr/bin/env python3
from subprocess import check_output, check_call
import os
def get_compiled_files_list():
import json
with open("build/compile_commands.json") as f:
data = json.load(f)
files = [os.path.relpath(node['file']) for node in data]
for idx, fname in enumerate(files):
if fname.startswith('build/') and fname.endswith('.DEFAULT.cpp'):
files[idx] = fname[len('build/'):-len('.DEFAULT.cpp')]
return files
def run_clang_tidy(fname):
check_call(["python3", "tools/clang_tidy.py", "-c", "build", "-x", fname,"-s"])
changes = check_output(["git", "ls-files", "-m"])
if len(changes) == 0:
return
check_call(["git", "commit","--all", "-m", f"NOLINT stubs for {fname}"])
def main():
git_files = check_output(["git", "ls-files"]).decode("ascii").split("\n")
compiled_files = get_compiled_files_list()
for idx, fname in enumerate(git_files):
if fname not in compiled_files:
continue
if fname.startswith("caffe2/contrib/aten/"):
continue
print(f"[{idx}/{len(git_files)}] Processing {fname}")
run_clang_tidy(fname)
if __name__ == "__main__":
main()
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56892
Reviewed By: H-Huang
Differential Revision: D27991944
Pulled By: malfet
fbshipit-source-id: 5415e1eb2c1b34319a4f03024bfaa087007d7179
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35430
This fixes and adds tests for several commonly used operators.
There's some formatting differences due to running clang-format on one of the files.
Test Plan: buck test //caffe2/caffe2/fb/operators:hypothesis_test //caffe2/caffe2/python/operator_test:utility_ops_test //caffe2/caffe2/python/operator_test:concat_split_op_test
Reviewed By: yyetim
Differential Revision: D20657405
fbshipit-source-id: 51d86d0834003b8ac8d6acb5149ae13d7bbfc6ab
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12616
Focusing on operators in common use on mobile.
Also use GRADIENT_OPERATOR_SCHEMA.
Reviewed By: Yangqing
Differential Revision: D10245216
fbshipit-source-id: 5cc023da170149b637fe3c729d3756af948aa265
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12696
In majority of the case, we use `InheritOnnxSchema(type_)`. This diff makes declaration of such case easier.
Reviewed By: bddppq
Differential Revision: D10395109
fbshipit-source-id: 914c1041387d5be386048d923eb832244fc506c3
Summary:
Requires https://github.com/onnx/onnx/pull/1377
This PR makes it so that slices with dynamic boundary values can be exported from pytorch and run in caffe2 via ONNX.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11255
Differential Revision: D9790216
Pulled By: jamesr66a
fbshipit-source-id: 6adfcddc5788df4d34d7ca98341077140402a3e2
Summary:
* Likely need to test this so bad formatting can't be added in the future, but cleaning all operators so we at least have good examples.
* Formatting between our internal Facebook operator catalog and external caffe2.ai catalog are still slightly different. We'll work on this.
Closes https://github.com/caffe2/caffe2/pull/1846
Reviewed By: pjh5
Differential Revision: D6848570
Pulled By: orionr
fbshipit-source-id: b9bc0bfccb243d0440bd7b2406858cad8dc37e92
Summary: This is a reapplication of the earlier PR due to xplat move. Original author is Christoph Conrads <christoph.conrads@fluent.ai> christoph-conrads .
Reviewed By: houseroad
Differential Revision: D6379736
fbshipit-source-id: b7482ecf3b9487a528c15e92976e915791210002
Summary: Updating the documentation to clarify the behavior of negative end indices.
Reviewed By: jamesr66a
Differential Revision: D6169058
fbshipit-source-id: f14f7cb8b30c26b1cccce104eba8c957a444657f
Summary:
It looks like one of the rebases that I have been doing on this op have
completely messed up my code and I have accidentally remove
TensorInferenceFunction for SliceOp. This diff is returning it back.
Reviewed By: akyrola
Differential Revision: D5745305
fbshipit-source-id: 5266c9e14c7d55be5a9cc96688e128db79547b1a
