forked from jiuyuan/InfiniTensor
57 lines
1.6 KiB
C++
57 lines
1.6 KiB
C++
#pragma once
|
|
#include "core/operator.h"
|
|
#include <assert.h>
|
|
namespace infini {
|
|
/**
|
|
* @brief General band matrix multiplication. See
|
|
* https://cscproxy.mpi-magdeburg.mpg.de/mpcsc/benner/pub/brdeq-cle2014.pdf for
|
|
* detail.
|
|
*
|
|
*/
|
|
class GBMMObj : public OperatorObj {
|
|
private:
|
|
int dilation;
|
|
ActType act;
|
|
|
|
int b, m, w, n;
|
|
|
|
public:
|
|
/**
|
|
* @brief Construct a new GBMM object.
|
|
*
|
|
* @param graph The computation graph that this operator belongs to.
|
|
* @param A The input tensor.
|
|
* @param B The input tensor.
|
|
* @param C C is the output of G2BMM. If outputs are going to be created in
|
|
* the constructor, C should be an empty Ref.
|
|
* @param dilation The dilation of the attention window.
|
|
* @param bias The bias tensor.
|
|
* @param act The activation.
|
|
*/
|
|
GBMMObj(GraphObj *graph, Tensor A, Tensor B, Tensor C, const int dilation,
|
|
Tensor bias = nullptr, ActType act = ActType::None);
|
|
OP_CLONE(GBMMObj);
|
|
|
|
std::string toString() const override;
|
|
optional<vector<Shape>> inferShape(const TensorVec &inputs) override;
|
|
|
|
int numInputs() const override { return 2; }
|
|
int numOutputs() const override { return 1; }
|
|
|
|
int getDilation() const { return dilation; }
|
|
Tensor getBias() const { return inputs[2]; }
|
|
ActType getAct() const { return act; }
|
|
|
|
int getB() const { return b; }
|
|
int getM() const { return m; }
|
|
int getW() const { return w; }
|
|
int getN() const { return n; }
|
|
auto getBMWND() const { return tuple{b, m, w, n, dilation}; }
|
|
|
|
private:
|
|
vector<int> getWorkloadVector() const override;
|
|
vector<int> getOpAttrVector() const override;
|
|
};
|
|
|
|
} // namespace infini
|