pytorch/caffe2/operators/do_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

36 lines
1.3 KiB
C++

#include "caffe2/operators/do_op.h"
namespace caffe2 {
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(Do, DoOp<CPUContext>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(Do)
.NumInputs(1, INT_MAX)
.NumOutputs(1, INT_MAX)
.SetDoc(R"DOC(
'Do' control operator, executes a subnet in a separate workspace.
Last blobs in the input and output lists should be the same blob created with
CreateScope op. Arguments 'inner_blobs' and 'outer_blobs_idx' provide a mapping
between selected inner blob names and corresponding outer blob indices.
)DOC")
.Arg("net", "Subnet with blob bindings")
.Arg(
"inner_blobs",
"List of inner net blob names to bind to outer workspace")
.Arg(
"outer_blobs_idx",
"Indices of corresponding outer workspace blobs, "
"in order: operator inputs, operator outputs (skipping workspace blobs)")
.Arg(
"saved_fwd_blobs",
"List of blobs from the forward Do operator workspace needed "
"in backward pass, used in gradient Do operator")
.Arg(
"reuse_workspace",
"Whether to reuse workspace or create a new one in a given scope")
.AllowInplace([](int in, int out) -> bool { return true; });
} // namespace caffe2