mirror of https://github.com/alibaba/MNN.git
65 lines
2.5 KiB
C++
65 lines
2.5 KiB
C++
//
|
|
// CPUQuantizedLogistic.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2018/12/12.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
#include "backend/cpu/CPUBackend.hpp"
|
|
#ifdef MNN_SUPPORT_DEPRECATED_OP
|
|
#include "backend/cpu/CPUQuantizedLogistic.hpp"
|
|
#include "backend/cpu/CPUFixedPoint.hpp"
|
|
#include "backend/cpu/CPUQuantizationUtils.hpp"
|
|
#include "core/Macro.h"
|
|
#include "backend/cpu/compute/OptimizedComputer.hpp"
|
|
|
|
namespace MNN {
|
|
|
|
CPUQuantizedLogistic::CPUQuantizedLogistic(Backend *backend, const Op *op) : Execution(backend) {
|
|
mLogisticParam = op->main_as_QuantizedLogistic();
|
|
}
|
|
|
|
ErrorCode CPUQuantizedLogistic::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
MNN_ASSERT(1 == inputs.size() && 1 == outputs.size());
|
|
MNN_ASSERT(0 == mLogisticParam->outputQuantizedParam()->zeroPoint() &&
|
|
1. / 256 == mLogisticParam->outputQuantizedParam()->scale());
|
|
|
|
static constexpr int kInputIntegerBits = 4;
|
|
const double inputRealMultiplier =
|
|
mLogisticParam->inputQuantizedParam()->scale() * static_cast<double>(1 << (31 - kInputIntegerBits));
|
|
QuantizeMultiplierGreaterThanOne(inputRealMultiplier, &mInputMultiplier, &mInputLeftShift);
|
|
mInputZeroPoint = mLogisticParam->inputQuantizedParam()->zeroPoint();
|
|
mInputRangeRadius = CalculateInputRadius(kInputIntegerBits, mInputLeftShift);
|
|
return NO_ERROR;
|
|
}
|
|
|
|
ErrorCode CPUQuantizedLogistic::onExecute(const std::vector<MNN::Tensor *> &inputs,
|
|
const std::vector<MNN::Tensor *> &outputs) {
|
|
auto input = inputs[0], output = outputs[0];
|
|
std::vector<int> inputDims, outputDims;
|
|
for (int i = 0; i < input->buffer().dimensions; i++) {
|
|
inputDims.push_back(input->buffer().dim[i].extent);
|
|
}
|
|
for (int i = 0; i < output->buffer().dimensions; i++) {
|
|
outputDims.push_back(output->buffer().dim[i].extent);
|
|
}
|
|
|
|
Optimized::Logistic(input->host<uint8_t>(), inputDims, mInputZeroPoint,
|
|
mInputRangeRadius, mInputMultiplier, mInputLeftShift, output->host<uint8_t>(), outputDims);
|
|
|
|
return NO_ERROR;
|
|
}
|
|
|
|
class CPUQuantizedLogisticCreator : public CPUBackend::Creator {
|
|
public:
|
|
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
|
|
const MNN::Op *op, Backend *backend) const {
|
|
return new CPUQuantizedLogistic(backend, op);
|
|
}
|
|
};
|
|
} // namespace MNN
|
|
#endif
|
|
namespace MNN {
|
|
REGISTER_CPU_OP_CREATOR_OLD(CPUQuantizedLogisticCreator, OpType_QuantizedLogistic);
|
|
};
|