pytorch/caffe2/operators/ensure_cpu_output_op.h
Shai Szulanski 0ddaaf6a92 [codemod][caffe2] Run clang-format - 5/7
Summary:
This directory is opted-in to clang-format but is not format-clean. This blocks continuous formatting from being enabled on fbcode, and causes hassle for other codemods that leave inconsistent formatting. This diff runs clang-format, which is widely used and considered safe.

If you are unhappy with the formatting of a particular block, please *accept this diff* and then in a stacked commit undo the change and wrap that code in `// clang-format off` and `// clang-format on`, or `/* clang-format off */` and `/* clang-format on */`.

drop-conflicts

Test Plan: sandcastleit

Reviewed By: jerryzh168

Differential Revision: D22311706

fbshipit-source-id: 1ca59a82e96156a4a5dfad70ba3e64d44c5e762a
2020-06-30 15:45:11 -07:00

53 lines
1.4 KiB
C++

#ifndef CAFFE2_OPERATORS_ENSURE_CPU_OUTPUT_OP_H_
#define CAFFE2_OPERATORS_ENSURE_CPU_OUTPUT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
class EnsureCPUOutputOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit EnsureCPUOutputOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
if (this->InputIsTensorType(0, CPU)) {
return CopyWithContext<CPUContext>();
} else if (this->InputIsTensorType(0, Context::GetDeviceType())) {
// CUDA Context will go this branch
return CopyWithContext<Context>();
} else {
CAFFE_THROW(
"Unexpected Input Blob: ",
OperatorBase::Inputs().at(0)->meta().name());
}
return true;
}
private:
template <class InputContext>
bool CopyWithContext() {
// Output is always on CPU
auto* output = this->template Output<Tensor>(0, CPU);
auto& input =
this->template Input<Tensor>(0, InputContext::GetDeviceType());
output->ResizeLike(input);
context_.CopyItemsToCPU(
input.dtype(),
input.numel(),
input.raw_data(),
output->raw_mutable_data(input.dtype()));
context_.FinishDeviceComputation();
return true;
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_ENSURE_CPU_OUTPUT_OP_H_