pytorch/caffe2/operators/create_scope_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

53 lines
1.7 KiB
C++

#include "caffe2/operators/create_scope_op.h"
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
C10_DEFINE_bool(
caffe2_workspace_stack_debug,
false,
"Enable debug checks for CreateScope's workspace stack");
namespace caffe2 {
CAFFE_KNOWN_TYPE(detail::WorkspaceStack);
template <>
bool CreateScopeOp<CPUContext>::RunOnDevice() {
auto* ws_stack = OperatorBase::Output<detail::WorkspaceStack>(0);
ws_stack->clear();
return true;
}
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(CreateScope, CreateScopeOp<CPUContext>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
SHOULD_NOT_DO_GRADIENT(CreateScope);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(CreateScope).NumInputs(0).NumOutputs(1).SetDoc(R"DOC(
'CreateScope' operator initializes and outputs empty scope that is used
by Do operator to store local blobs
)DOC");
template <>
bool HasScopeOp<CPUContext>::RunOnDevice() {
const auto& ws_stack = OperatorBase::Input<detail::WorkspaceStack>(0);
auto* output = Output(0, {1}, at::dtype<bool>());
bool* output_value = output->template mutable_data<bool>();
*output_value = !ws_stack.empty();
return true;
}
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(HasScope, HasScopeOp<CPUContext>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
SHOULD_NOT_DO_GRADIENT(HasScope);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(HasScope).NumInputs(1).NumOutputs(1).SetDoc(R"DOC(
Checks whether scope blob has any saved scopes left
)DOC");
} // namespace caffe2