Also Back out "Revert D39075159: [acc_tensor] Use SymIntArrayRef for overloaded empty.memory_format's signature"
Original commit changeset: dab4a9dba4fa
Original commit changeset: dcaf16c037a9
Original Phabricator Diff: D38984222
Original Phabricator Diff: D39075159
Also update Metal registrations for C++ registration changes.
Also update NNPI registration to account for tightened schema checking
Differential Revision: [D39084762](https://our.internmc.facebook.com/intern/diff/D39084762/)
**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D39084762/)!
Pull Request resolved: https://github.com/pytorch/pytorch/pull/84173
Approved by: https://github.com/Krovatkin
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/glow/pull/5062
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45556
User defined classes can be used as constants. This is useful when freezing and removing the module from the graph.
Test Plan: waitforsadcastle
Reviewed By: eellison
Differential Revision: D23994974
fbshipit-source-id: 5b4a5c91158aa7f22df39d71f2658afce1d29317
Summary:
With this PR, users can optionally provide a "doc_string" to describe a class or its method. doc_string for TorchBind classes and methods are stored as `doc_string` properties in `Function` and `ScriptClass`. These `dos_string` properties are then exposed in Python layer via PyBind for doc generation.
Fixes https://github.com/pytorch/pytorch/issues/46047
Pull Request resolved: https://github.com/pytorch/pytorch/pull/46576
Reviewed By: wanchaol
Differential Revision: D24440636
Pulled By: gmagogsfm
fbshipit-source-id: bfa9b270a6c2d8bc769a88fad6be939cc6310412
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37474
Previously we would segfault
Test Plan: Imported from OSS
Differential Revision: D21297542
Pulled By: suo
fbshipit-source-id: c7e2f828a250c490ec23fb51c6a4a642d3370e52
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36742
Now, you can define a custom class inside a TORCH_LIBRARY block.
It looks very similar to what you did before. Instead of
```
static auto m = torch::class_<Class>("Namespace", "Class").def("foo", foo);
```
you write
```
TORCH_LIBRARY(Namespace, m) {
m.class_<Class>("Class")
.def("foo", foo);
}
```
All the old usages still work, but at some point we should start
updating the tutorials when we're ready to go 100% live with the
new pybind11 style API.
custom class API previously lived in torch/ folder and in torch
namespace, so for consistency, the new TORCH_LIBRARY also got
moved to torch/library.h The definition of Library::class_ is in the
bottom of that header because I need all of the class_ constructors
available, but there is a circular dependency between the two headers.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Differential Revision: D21089648
Test Plan: Imported from OSS
Pulled By: ezyang
fbshipit-source-id: 8d54329c125242605336c22fa1642aae6940b507
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
