mirror of https://github.com/alibaba/MNN.git
48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
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//
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// ShapeGatherND.cpp
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// MNN
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//
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// Created by MNN on 2019/09/11.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "Macro.h"
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#include "SizeComputer.hpp"
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namespace MNN {
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class GatherNDComputer : 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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auto params = inputs[0];
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auto indices = inputs[1];
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if(indices->getType().code != halide_type_int) {
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MNN_ERROR("Don't support not int indices\n");
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return false;
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}
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if (params->dimensions() < 1 || indices->dimensions() < 1) {
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MNN_ERROR("params->dimensions() < 1 || indices->dimensions() < 1\n");
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return false;
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}
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auto indiceNd = indices->length(indices->dimensions()-1);
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if (indiceNd > params->dimensions()) {
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MNN_ERROR("indiceNd > params->dimensions()\n");
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return false;
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}
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outputs[0]->buffer().type = params->buffer().type;
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outputs[0]->buffer().dimensions = params->dimensions() + indices->dimensions() - indiceNd -1;
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TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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int outputIndex = 0;
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for (int i=0; i<indices->dimensions()-1; ++i) {
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outputs[0]->setLength(outputIndex++, indices->length(i));
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}
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for (int i=indiceNd; i<params->dimensions(); ++i) {
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outputs[0]->setLength(outputIndex++, params->length(i));
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}
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return true;
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}
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};
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REGISTER_SHAPE_INPUTS(GatherNDComputer, OpType_GatherND, (std::vector<int>{1}));
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} // namespace MNN
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