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#pragma once
#include "caffe2/operators/resize_op.h"
#include "caffe2/quantization/server/dnnlowp_op.h"
namespace caffe2 {
using ResizeNearestFP32Op = ResizeNearestOp<float, CPUContext>;
template <typename T>
class ResizeNearestDNNLowPOp final : public DNNLowPOp<T, ResizeNearestFP32Op> {
public:
USE_OPERATOR_FUNCTIONS(CPUContext);
USE_DNNLOWP_OPERATOR_BASE_FUNCTIONS(T, ResizeNearestFP32Op);
ResizeNearestDNNLowPOp(const OperatorDef& operator_def, Workspace* ws)
: BaseType(operator_def, ws),
width_scale_(this->template GetSingleArgument<float>("width_scale", 1)),
height_scale_(
this->template GetSingleArgument<float>("height_scale", 1)) {
CAFFE_ENFORCE_GT(width_scale_, 0);
CAFFE_ENFORCE_GT(height_scale_, 0);
const auto& order = StringToStorageOrder(
this->template GetSingleArgument<std::string>("order", "NHWC"));
CAFFE_ENFORCE_EQ(order, StorageOrder::NHWC);
}
bool RunOnDevice() override;
private:
float width_scale_;
float height_scale_;
};
} // namespace caffe2
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