MNN/source/shape/ShapeExpandDims.cpp

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//
// ShapeExpandDims.cpp
// MNN
//
// Created by MNN on 2019/01/10.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "Macro.h"
#include "SizeComputer.hpp"
namespace MNN {
class ExpandDimsComputer : public SizeComputer {
public:
virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
const std::vector<Tensor*>& outputs) const override {
const int inputSize = inputs.size();
MNN_ASSERT(2 == inputSize || 1 == inputSize);
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MNN_ASSERT(1 == outputs.size());
auto input = inputs[0];
auto output = outputs[0];
// default -1
int dim = -1;
if (inputSize == 2) {
// read dim from the second input
auto dims = inputs[1];
dim = dims->host<int32_t>()[0];
} else {
// get dim from expand_dims parameter(axis)
auto param = op->main_as_ExpandDims();
dim = param->axis();
}
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if (dim == -1) {
dim = input->dimensions() + 1 + dim;
}
std::vector<int> outputShape;
for (int i = 0; i < input->buffer().dimensions; i++) {
if (i == dim) {
outputShape.push_back(1);
}
outputShape.push_back(input->buffer().dim[i].extent);
}
if (dim == input->buffer().dimensions) {
outputShape.push_back(1);
}
output->buffer().dimensions = (int)outputShape.size();
output->buffer().type = input->buffer().type;
int previousStride = 1;
for (int i = output->buffer().dimensions - 1; i >= 0; i--) {
output->buffer().dim[i].stride = previousStride;
output->buffer().dim[i].extent = outputShape[i];
previousStride *= output->buffer().dim[i].extent;
}
TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(input)->dimensionFormat;
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return true;
}
};
REGISTER_SHAPE_INPUTS(ExpandDimsComputer, OpType_ExpandDims, {1});
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} // namespace MNN