forked from jiuyuan/InfiniTensor
56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
#pragma once
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#include "core/operator.h"
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namespace infini {
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/**
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* @brief Compute the reduction of input tensor's elements along certain axes.
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*
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*/
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class ReduceBaseObj : public OperatorObj {
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protected:
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set<int> axes; // axis to reduce
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bool keepDims;
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public:
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/**
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* @brief Construct a new Reduce object.
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*
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* @param graph The computation graph that this operator belongs to.
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* @param opType The operation type. Should be a Reduce operation.
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* @param input The input tensor.
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* @param output The output tensor.
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* @param axes Axes to reduce.
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* @param keepDims Keep the reduced dimensions or not.
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*/
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ReduceBaseObj(GraphObj *graph, OpType opType, Tensor input, Tensor output,
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const optional<vector<int>> &axes, bool keepDims);
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virtual ~ReduceBaseObj() {}
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OP_CLONE(ReduceBaseObj);
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optional<vector<Shape>> inferShape(const TensorVec &inputs) override;
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std::string toString() const override;
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int numInputs() const override { return 1; }
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int numOutputs() const override { return 1; }
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bool isReduced(int idx) const;
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const set<int> &getAxes() const { return axes; }
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bool getKeepDims() const { return keepDims; }
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private:
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vector<int> getWorkloadVector() const override;
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vector<int> getOpAttrVector() const override;
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};
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class ReduceMeanObj : public ReduceBaseObj {
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public:
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ReduceMeanObj(GraphObj *graph, Tensor input, Tensor output,
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const optional<vector<int>> &axes, bool keepDims = true);
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};
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class ReduceSumObj : public ReduceBaseObj {
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public:
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ReduceSumObj(GraphObj *graph, Tensor input, Tensor output,
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const optional<vector<int>> &axes, bool keepDims = true);
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};
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} // namespace infini
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