#pragma once
|
|
#include "caffe2/core/context.h"
|
#include "caffe2/core/operator.h"
|
#include "caffe2/utils/cast.h"
|
#include "caffe2/utils/conversions.h"
|
#include "caffe2/utils/math.h"
|
#include "caffe2/core/logging.h"
|
#include "caffe2/core/types.h"
|
|
namespace caffe2 {
|
|
template <class Context>
|
class CastOp : public Operator<Context> {
|
public:
|
USE_OPERATOR_CONTEXT_FUNCTIONS;
|
|
explicit CastOp(const OperatorDef& operator_def, Workspace* ws)
|
: Operator<Context>(operator_def, ws) {
|
const ArgumentHelper helper(operator_def);
|
TensorProto_DataType to = cast::GetCastDataType(helper, "to");
|
TensorProto_DataType from = cast::GetCastDataType(helper, "from_type");
|
|
SetBody(to);
|
}
|
|
bool RunOnDevice() override {
|
return (this->*body_)();
|
}
|
|
// Allow for Context-specific implementations
|
void SetBody(TensorProto_DataType to);
|
|
template <typename DstType>
|
bool DoRunWithDstType();
|
|
template <typename DstType, typename SrcType>
|
bool DoRunWithType() {
|
auto& input = Input(0);
|
auto* output = Output(0);
|
output->ResizeLike(input);
|
const auto* data = input.template data<SrcType>();
|
auto* out = output->template mutable_data<DstType>();
|
auto N = input.size();
|
for (int64_t i = 0; i < N; ++i) {
|
out[i] = static_cast<DstType>(data[i]);
|
}
|
return true;
|
}
|
|
private:
|
bool (CastOp::*body_)();
|
};
|
|
} // namespace caffe2
|
