pytorch/caffe2/operators/conv_transpose_gradient_op.cc
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

54 lines
1.8 KiB
C++

#include "caffe2/operators/conv_transpose_op.h"
#include "caffe2/operators/conv_transpose_op_impl.h"
namespace caffe2 {
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(
ConvTransposeGradient,
ConvTransposeGradientOp<float, CPUContext>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(ConvTransposeGradient).NumInputs(3).NumOutputs(1, 3);
class GetConvTransposeGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
auto compute_dX =
!ArgumentHelper::GetSingleArgument(def_, "no_gradient_to_input", false);
CAFFE_ENFORCE(3 == def_.input_size() || 2 == def_.input_size());
if (def_.input_size() == 3 && compute_dX) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2), GI(0)});
} else if (def_.input_size() == 3) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(2)});
} else if (compute_dX) {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1), GI(0)},
vector<Argument>{MakeArgument<bool>("no_bias", true)});
} else {
return SingleGradientDef(
"ConvTransposeGradient",
"",
vector<string>{I(0), I(1), GO(0)},
vector<string>{GI(1)},
vector<Argument>{MakeArgument<bool>("no_bias", true)});
}
}
};
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_GRADIENT(ConvTranspose, GetConvTransposeGradient);
} // namespace caffe2