pytorch/torch/csrc/autograd/cpp_hook.cpp
Nikita Shulga 4cb534f92e Make PyTorch code-base clang-tidy compliant (#56892)
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
2021-04-28 14:10:25 -07:00

45 lines
1.2 KiB
C++

#include <torch/csrc/autograd/cpp_hook.h>
#include <torch/csrc/autograd/variable.h>
#include <torch/csrc/autograd/custom_function.h>
namespace {
using torch::autograd::Variable;
void check_single_result (Variable value, Variable result, std::string hook_name) {
if (!value.defined()) {
throw std::runtime_error("can't replace a empty gradient with a non-empty value");
}
torch::autograd::check_variable_result(value, result, hook_name);
}
}
namespace torch { namespace autograd {
// NOLINTNEXTLINE(modernize-pass-by-value)
CppFunctionPreHook::CppFunctionPreHook(const std::shared_ptr<hooks_list> &hooks, int value_idx)
: hooks_(hooks)
, value_idx_(value_idx)
{}
variable_list CppFunctionPreHook::operator()(const variable_list& values) {
auto value = values[value_idx_];
for (unsigned i = 0; i < hooks_->size(); ++i) {
auto &hook = (*hooks_)[i];
if (!hook) {
// hook was removed
continue;
}
auto res = hook(value);
if (!res.defined()) {
// Don't change gradient
continue;
}
check_single_result(value, res, c10::to_string(i));
value = res;
}
variable_list results(values);
results[value_idx_] = value;
return results;
}
}} // namespace torch::autograd