mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
4cb534f92e
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
37 lines
1.1 KiB
C++
37 lines
1.1 KiB
C++
#include "conv_op_shared.h"
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#include "caffe2/core/context.h"
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#include "caffe2/core/flags.h"
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#include "caffe2/core/workspace.h"
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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C10_DEFINE_bool(
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caffe2_force_shared_col_buffer,
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false,
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"Always use the shared col buffer");
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namespace caffe2 {
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template <>
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void createSharedBuffer<CPUContext>(Workspace* ws) {
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auto* mutexPtr = ws->CreateBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU_MUTEX__")
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->GetMutable<std::unique_ptr<std::mutex>>();
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// NOLINTNEXTLINE(modernize-make-unique)
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mutexPtr->reset(new std::mutex());
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ws->CreateBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU__");
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}
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template <>
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void runWithSharedBuffer<CPUContext>(
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Workspace* ws,
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std::function<void(Tensor* buffer)> f) {
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auto* mutexBlob = ws->GetBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU_MUTEX__");
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CAFFE_ENFORCE(mutexBlob, "Must call createSharedBuffer() first");
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auto* mutexPtr = mutexBlob->GetMutable<std::unique_ptr<std::mutex>>();
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std::lock_guard<std::mutex> g(**mutexPtr);
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auto* buffer = BlobGetMutableTensor(
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ws->GetBlob("__CAFFE2_SHARED_CONV_BUFFER_CPU__"), CPU);
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f(buffer);
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}
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}
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