mirror of https://github.com/alibaba/MNN.git
52 lines
1.6 KiB
C++
52 lines
1.6 KiB
C++
//
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// ShapeCosineSimilarity.cpp
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// MNN
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//
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// Created by MNN on 2019/7/17.
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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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class CosineSimilaritySize : public SizeComputer {
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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(3 <= inputs.size());
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auto x1 = inputs[0];
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auto x2 = inputs[1];
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auto dimTensor = inputs[2];
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const auto dim = dimTensor->host<int32_t>()[0];
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MNN_ASSERT(dim == 1);
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const int dimensions0 = x1->dimensions();
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const int dimensions1 = x2->dimensions();
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MNN_ASSERT(dimensions0 == dimensions1);
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for (int i = 0; i < dimensions0; ++i) {
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MNN_ASSERT(x1->length(i) == x2->length(i));
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}
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auto output = outputs[0];
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output->buffer().dimensions = dimensions0 - 1;
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for (int i = 0; i < dimensions0; ++i) {
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int index = i;
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if (i == dim) {
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continue;
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}
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if (i > dim) {
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index = i - 1;
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}
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output->setLength(index, x1->length(i));
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}
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output->buffer().type = x1->getType();
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TensorUtils::getDescribe(output)->dimensionFormat = MNN_DATA_FORMAT_NCHW;
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return true;
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}
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};
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REGISTER_SHAPE_INPUTS(CosineSimilaritySize, OpType_CosineSimilarity, (std::vector<int>{2}));
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} // namespace MNN
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