forked from jiuyuan/InfiniTensor
96 lines
2.6 KiB
C++
96 lines
2.6 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 Change the shape of the input tensor.
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*
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*/
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class ReshapeObj : public OperatorObj {
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Shape dims;
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public:
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/**
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* @brief Construct a new Reshape object.
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*
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* @param graph The computation graph that this operator belongs to.
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* @param input The input tensor.
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* @param output The output tensor.
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* @param dims The shape of the output tensor.
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*/
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ReshapeObj(GraphObj *graph, Tensor input, Tensor output, Shape dims);
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OP_CLONE(ReshapeObj);
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optional<vector<Shape>> inferShape(const TensorVec &inputs) const 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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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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/**
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* @brief Reshape the input tensor into a one-dimensional tensor.
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* FIXME: Move to an independent file.
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* FIXME: Different parameter list with ONNX and Pytorch.
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*
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*/
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class FlattenObj : public OperatorObj {
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public:
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/**
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* @brief Construct a new Flatten object.
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*
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* @param graph The computation graph that this operator belongs to.
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* @param input The input tensor.
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* @param output The output one-dimensional tensor.
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*/
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FlattenObj(GraphObj *graph, Tensor input, Tensor output);
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OP_CLONE(FlattenObj);
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optional<vector<Shape>> inferShape(const TensorVec &inputs) const 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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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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/**
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* @brief Copy the input tensor.
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* FIXME: Move to an independent file.
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*
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*/
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class IdentityObj : public OperatorObj {
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public:
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/**
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* @brief Construct a new Identity object.
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*
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* @param graph The computation graph that this operator belongs to.
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* @param input The input tensor.
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* @param output The output tensor, which is the same as the input tensor.
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*/
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IdentityObj(GraphObj *graph, Tensor input, Tensor output);
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OP_CLONE(IdentityObj);
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optional<vector<Shape>> inferShape(const TensorVec &inputs) const 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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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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} // namespace infini
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