mirror of https://github.com/alibaba/MNN.git
46 lines
1.4 KiB
C++
46 lines
1.4 KiB
C++
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//
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// ShapeSetDiff1D.cpp
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// MNN
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//
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// Created by MNN on 2021/06/24.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <unordered_set>
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#include "shape/SizeComputer.hpp"
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#include "core/Macro.h"
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namespace MNN {
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class ShapeUnique : 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(1 == inputs.size());
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if (inputs[0]->getType().code != halide_type_int) {
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return false;
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}
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auto& ib = inputs[0]->buffer();
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auto& ob = outputs[0]->buffer();
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ob.dimensions = 1;
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TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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ob.type = ib.type;
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if (inputs[0]->host<int32_t>() == nullptr) {
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return false;
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}
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std::unordered_set<int> values;
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auto eleSize = inputs[0]->elementSize();
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for (int i = 0; i < eleSize; i++) {
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values.insert(inputs[0]->host<int32_t>()[i]);
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}
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ob.dim[0].extent = values.size();
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if (outputs.size() > 1) {
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TensorUtils::copyShape(outputs[0], outputs[1], true);
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outputs[1]->buffer().type = halide_type_of<int>();
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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(ShapeUnique, OpType_Unique, std::vector<int>({0}));
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} // namespace MNN
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