caffe2/operators/utility_ops_gpu.cc

#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/utility_ops.h"

namespace caffe2 {
namespace {

REGISTER_CUDA_OPERATOR(Print, PrintOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(Flatten, FlattenOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(FlattenToVec, FlattenToVecOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(Squeeze, SqueezeOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(ExpandDims, ExpandDimsOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(Alias, AliasOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(ResizeLike, ResizeLikeOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(Reshape, ReshapeOp<float, CUDAContext>);
REGISTER_CUDA_OPERATOR(Sum, SumOp<float, CUDAContext>);
REGISTER_CUDA_OPERATOR(WeightedSum, WeightedSumOp<float, CUDAContext>);
// From whatever the current context, ensure the output is TensorCPU
REGISTER_CUDA_OPERATOR(
    EnsureCPUOutput,
    CopyOp<CUDAContext, CPUContext, CUDAContext>);
// From CPU, copy it to whatever the current context
REGISTER_CUDA_OPERATOR(
    CopyFromCPUInput,
    CopyOp<CUDAContext, CUDAContext, CPUContext>);

// CopyGPUToCPU and CopyCPUToGPU should both be carried out in a cuda context,
// since gpu code will be involved.
REGISTER_CUDA_OPERATOR(
    CopyGPUToCPU,
    CopyOp<CUDAContext, CPUContext, CUDAContext>);
REGISTER_CUDA_OPERATOR(
    CopyCPUToGPU,
    CopyOp<CUDAContext, CUDAContext, CPUContext>);
// If we only specify Copy, we assume that it is a gpu to gpu copy - maybe
// involving different GPUs.
REGISTER_CUDA_OPERATOR(Copy, CopyOp<CUDAContext, CUDAContext, CUDAContext>);

REGISTER_CUDA_OPERATOR(UnsafeCoalesce, UnsafeCoalesceOp<CUDAContext>);

}  // namespace
}  // namespace caffe2