cavis/libnd4j/include/helpers/MmulHelper.h

68 lines
3.4 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 05.06.2018
//
#ifndef LIBND4J_MMULHELPER_H
#define LIBND4J_MMULHELPER_H
#include "NDArray.h"
namespace nd4j {
class ND4J_EXPORT MmulHelper {
private:
// multiptication N-dimensions tensor on other N-dimensions one
static nd4j::NDArray* mmulNxN(const nd4j::NDArray* A, const nd4j::NDArray* B, nd4j::NDArray* C, const double alpha = 1.0, const double beta = 0.0, const char outOrder = 'f');
// dot product of vectors (X * Y) = Z[0]
static nd4j::NDArray* dot(const nd4j::NDArray* X, const nd4j::NDArray* Y, nd4j::NDArray* Z, const double alpha = 1.0, const double beta = 0.0);
// multiptication Matrix to Matrix
static nd4j::NDArray* mmulMxM(const nd4j::NDArray* A, const nd4j::NDArray* B, nd4j::NDArray* C, double alpha = 1.0, double beta = 0.0, const char outOrder = 'f');
// multiptication Matrix to vector
static nd4j::NDArray* mmulMxV(const nd4j::NDArray* A, const nd4j::NDArray* B, nd4j::NDArray* C, double alpha = 1.0, double beta = 0.0, const char outOrder = 'f');
public:
static nd4j::NDArray* mmul(const nd4j::NDArray* A, const nd4j::NDArray* B, nd4j::NDArray* C = nullptr, const double alpha = 1.0, const double beta = 0.0, const char outOrder = 'f');
static nd4j::NDArray* tensorDot(const nd4j::NDArray* A, const nd4j::NDArray* B, const std::initializer_list<int>& axesA, const std::initializer_list<int>& axesB = {});
static nd4j::NDArray* tensorDot(const nd4j::NDArray* A, const nd4j::NDArray* B, const std::vector<int>& axesA, const std::vector<int>& axesB);
static void tensorDot(const nd4j::NDArray* a, const nd4j::NDArray* b, nd4j::NDArray* c, const std::vector<int>& axes_a, const std::vector<int>& axes_b, const std::vector<int>& permutForC = {});
#ifndef __JAVACPP_HACK__
/**
* modif - (can be empty) vector containing a subsequence of permutation/reshaping arrays (in any order), user must take care of correctness of such arrays by himself
*/
static void tensorDot(const nd4j::NDArray* a, const nd4j::NDArray* b, nd4j::NDArray* c, const std::vector<std::vector<Nd4jLong>>& modifA, const std::vector<std::vector<Nd4jLong>>& modifB, const std::vector<std::vector<Nd4jLong>>& modifC);
static nd4j::NDArray* tensorDot(const nd4j::NDArray* a, const nd4j::NDArray* b, const std::vector<std::vector<Nd4jLong>>& modifA, const std::vector<std::vector<Nd4jLong>>& modifB);
#endif
static void matmul(const nd4j::NDArray* x, const nd4j::NDArray* y, nd4j::NDArray* z, const bool transX, const bool transY);
};
}
#endif //LIBND4J_MMULHELPER_H