mirror of https://github.com/alibaba/MNN.git
74 lines
2.5 KiB
C++
74 lines
2.5 KiB
C++
//
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// ShapeReduction.cpp
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// MNN
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//
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// Created by MNN on 2019/01/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "shape/SizeComputer.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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static int _getRealAxis(int axis, int n) {
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if (axis < 0) {
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return axis + n;
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}
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return axis;
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}
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class ReductionComputer : public SizeComputer {
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public:
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virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) const override {
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MNN_ASSERT(1 == inputs.size() || 2 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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auto output = outputs[0];
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TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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auto reduce = op->main_as_ReductionParam();
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output->buffer().type = inputs[0]->buffer().type;
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if (nullptr == reduce->dim() && inputs.size() == 1) {
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output->buffer().dimensions = 0;
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return true;
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}
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uint8_t reduceMask[MNN_MAX_TENSOR_DIM];
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::memset(reduceMask, 0, sizeof(uint8_t) * MNN_MAX_TENSOR_DIM);
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if (nullptr != reduce->dim()) {
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for (int i = 0; i < reduce->dim()->size(); ++i) {
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reduceMask[_getRealAxis(reduce->dim()->data()[i], inputs[0]->dimensions())] = 1;
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}
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} else {
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auto input1 = inputs[1];
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auto size = input1->elementSize();
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auto dims = input1->host<int32_t>();
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for (int i = 0; i < size; ++i) {
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reduceMask[_getRealAxis(dims[i], inputs[0]->dimensions())] = 1;
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}
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}
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auto input = inputs[0];
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const int inputDimensions = input->dimensions();
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int offset = 0;
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for (int i = 0; i < inputDimensions; ++i) {
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if (1 == reduceMask[i]) {
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if (reduce->keepDims()) {
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output->buffer().dim[offset].extent = 1;
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offset++;
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}
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continue;
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}
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output->buffer().dim[offset].extent = input->length(i);
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offset++;
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}
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output->buffer().dimensions = offset;
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TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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return true;
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}
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};
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REGISTER_SHAPE_INPUTS(ReductionComputer, OpType_Reduction, {1});
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} // namespace MNN
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