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#pragma once
#include "caffe2/operators/relu_op.h"
#include "caffe2/core/tensor_int8.h"
#include "caffe2/quantization/server/caffe2_dnnlowp_utils.h"
namespace caffe2 {
template <typename T>
class ReluDNNLowPOp final : public Operator<CPUContext> {
public:
USE_OPERATOR_FUNCTIONS(CPUContext);
ReluDNNLowPOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<CPUContext>(operator_def, ws),
qfactory_(dnnlowp::GetQuantizationFactoryOf(this)) {}
bool RunOnDevice() override;
private:
std::unique_ptr<dnnlowp::QuantizationFactory> qfactory_;
};
namespace internal {
template <typename T>
void ReluAVX2(const int N, const int zero_point, const T* X, T* Y);
} // namespace internal
} // namespace caffe2
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