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#include "caffe2/quantization/server/elementwise_dnnlowp_op.h"
#include "caffe2/quantization/server/sigmoid.h"
namespace caffe2 {
using namespace dnnlowp;
template <typename T>
class SigmoidFunctor {
public:
explicit SigmoidFunctor() : sigmoid_() {}
inline void operator()(const int n, const T* x, T* y) {
for (int i = 0; i < n; ++i) {
y[i] = sigmoid_.Compute(x[i]);
}
}
TensorQuantizationParams GetOutputQuantizationParams() const {
return sigmoid_.GetOutputQuantizationParams();
}
private:
Sigmoid<T> sigmoid_;
};
REGISTER_CPU_OPERATOR_WITH_ENGINE(
Sigmoid,
DNNLOWP,
UnaryElementwiseWithArgsDNNLowPOp<
std::uint8_t,
SigmoidFunctor<std::uint8_t>>);
REGISTER_CPU_OPERATOR_WITH_ENGINE(
Int8Sigmoid,
DNNLOWP,
UnaryElementwiseWithArgsDNNLowPOp<
std::uint8_t,
SigmoidFunctor<std::uint8_t>>);
} // namespace caffe2
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