mirror of https://github.com/alibaba/MNN.git
37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
|
//
|
||
|
|
// NNAPIQuant.cpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2023/02/02.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#include "NNAPIQuant.hpp"
|
||
|
|
|
||
|
|
namespace MNN {
|
||
|
|
|
||
|
|
|
||
|
|
NNAPIQuant::NNAPIQuant(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NNAPICommonExecution(b, op) {
|
||
|
|
}
|
||
|
|
|
||
|
|
ErrorCode NNAPIQuant::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
||
|
|
outputs[0]->buffer().type = halide_type_of<int8_t>();
|
||
|
|
if (0) {
|
||
|
|
dumpTensor(inputs[0]);
|
||
|
|
dumpTensor(outputs[0]);
|
||
|
|
printf("output quant attr: %p\n", TensorUtils::getDescribe(outputs[0])->quantAttr.get());
|
||
|
|
}
|
||
|
|
return buildOperation(ANEURALNETWORKS_QUANTIZE, getTensorIdxs(inputs), getTensorIdxs(outputs));
|
||
|
|
}
|
||
|
|
|
||
|
|
NNAPIDequant::NNAPIDequant(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NNAPICommonExecution(b, op) {
|
||
|
|
}
|
||
|
|
|
||
|
|
ErrorCode NNAPIDequant::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
||
|
|
return buildOperation(ANEURALNETWORKS_DEQUANTIZE, getTensorIdxs(inputs), getTensorIdxs(outputs));
|
||
|
|
}
|
||
|
|
|
||
|
|
REGISTER_NNAPI_OP_CREATOR(NNAPIQuant, OpType_FloatToInt8)
|
||
|
|
REGISTER_NNAPI_OP_CREATOR(NNAPIDequant, OpType_Int8ToFloat)
|
||
|
|
} // namespace MNN
|