forked from jiuyuan/InfiniTensor
47 lines
1.4 KiB
C
47 lines
1.4 KiB
C
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#pragma once
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#include "core/operator.h"
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namespace infini {
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/**
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*
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* https://docs.nvidia.com/deeplearning/nccl/archives/nccl_2193/user-guide/docs/index.html
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*/
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class RecvObj : public OperatorObj {
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public:
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/**
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* @brief Construct a new SendRecv 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 default nullptr, because recv does not have input.
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* @param output recv output
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* @param source the send rank
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* @param destination the recv rank
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* @param dims The shape of the output tensor.
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*/
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RecvObj(GraphObj *graph, Tensor output, int source, int destination,
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Shape dims, int outputType, Tensor input = nullptr);
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OP_CLONE(RecvObj);
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int numInputs() const override { return inputs.size(); }
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int numOutputs() const override { return 1; }
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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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DataType getDType() const;
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int getSourceRank() const { return source; }
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int getDestinationRank() const { return destination; }
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inline Shape getShape() const { return dims; }
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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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vector<DataType> inferDataType(const TensorVec &inputs) const override;
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protected:
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int source;
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int destination;
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Shape dims;
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int outputType;
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};
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} // namespace infini
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