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:
Temporary fix to give people extra time to finish the deprecation.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56401
Reviewed By: xw285cornell, drdarshan
Differential Revision: D27862196
Pulled By: albanD
fbshipit-source-id: ed460267f314a136941ba550b904dee0321eb0c6
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/54403
A few important points about InferenceMode behavior:
1. All tensors created in InferenceMode are inference tensors except for view ops.
- view ops produce output has the same is_inference_tensor property as their input.
Namely view of normal tensor inside InferenceMode produce a normal tensor, which is
exactly the same as creating a view inside NoGradMode. And view of
inference tensor outside InferenceMode produce inference tensor as output.
2. All ops are allowed inside InferenceMode, faster than normal mode.
3. Inference tensor cannot be saved for backward.
Test Plan: Imported from OSS
Reviewed By: ezyang
Differential Revision: D27316483
Pulled By: ailzhang
fbshipit-source-id: e03248a66d42e2d43cfe7ccb61e49cc4afb2923b
