mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
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
34 lines
892 B
C++
34 lines
892 B
C++
#pragma once
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#include <ATen/core/ivalue.h>
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#include <ATen/core/operator_name.h>
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#include <torch/csrc/jit/runtime/instruction.h>
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#include <vector>
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namespace torch {
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namespace jit {
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namespace mobile {
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using Stack = std::vector<c10::IValue>;
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// NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
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struct Code {
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std::vector<Instruction> instructions_;
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std::vector<c10::OperatorName> op_names_;
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std::vector<std::function<void(Stack&)>> operators_;
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std::vector<c10::IValue> constants_;
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std::vector<c10::TypePtr> types_;
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size_t register_size_; // Aggregated output size.
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};
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struct InterpreterState {
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TORCH_API explicit InterpreterState(std::shared_ptr<Code> code);
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TORCH_API bool run(Stack& stack);
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private:
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std::shared_ptr<Code> code_;
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c10::IValue& reg(size_t reg);
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std::vector<c10::IValue> registers_;
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};
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} // namespace mobile
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} // namespace jit
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} // namespace torch
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