71 lines
3.5 KiB
C++
71 lines
3.5 KiB
C++
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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//
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 05.06.2018
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//
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#ifndef LIBND4J_MMULHELPER_H
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#define LIBND4J_MMULHELPER_H
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#include "array/NDArray.h"
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namespace sd {
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class ND4J_EXPORT MmulHelper {
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private:
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// multiptication N-dimensions tensor on other N-dimensions one
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static sd::NDArray* mmulNxN(const sd::NDArray* A, const sd::NDArray* B, sd::NDArray* C, const double alpha = 1.0, const double beta = 0.0, const char outOrder = 'f');
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// dot product of vectors (X * Y) = Z[0]
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static sd::NDArray* dot(const sd::NDArray* X, const sd::NDArray* Y, sd::NDArray* Z, const double alpha = 1.0, const double beta = 0.0);
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// multiptication Matrix to Matrix
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static sd::NDArray* mmulMxM(const sd::NDArray* A, const sd::NDArray* B, sd::NDArray* C, double alpha = 1.0, double beta = 0.0, const char outOrder = 'f');
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// multiptication Matrix to vector
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static sd::NDArray* mmulMxV(const sd::NDArray* A, const sd::NDArray* B, sd::NDArray* C, double alpha = 1.0, double beta = 0.0, const char outOrder = 'f');
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public:
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static sd::NDArray* mmul(const sd::NDArray* A, const sd::NDArray* B, sd::NDArray* C = nullptr, const double alpha = 1.0, const double beta = 0.0, const char outOrder = 'f');
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static sd::NDArray* tensorDot(const sd::NDArray* A, const sd::NDArray* B, const std::initializer_list<int>& axesA, const std::initializer_list<int>& axesB = {});
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static sd::NDArray* tensorDot(const sd::NDArray* A, const sd::NDArray* B, const std::vector<int>& axesA, const std::vector<int>& axesB);
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static void tensorDot(const sd::NDArray* a, const sd::NDArray* b, sd::NDArray* c, const std::vector<int>& axes_a, const std::vector<int>& axes_b, const std::vector<int>& permutForC = {});
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#ifndef __JAVACPP_HACK__
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/**
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* 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
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*/
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static void tensorDot(const sd::NDArray* a, const sd::NDArray* b, sd::NDArray* c, const std::vector<std::vector<Nd4jLong>>& modifA, const std::vector<std::vector<Nd4jLong>>& modifB, const std::vector<std::vector<Nd4jLong>>& modifC);
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static sd::NDArray* tensorDot(const sd::NDArray* a, const sd::NDArray* b, const std::vector<std::vector<Nd4jLong>>& modifA, const std::vector<std::vector<Nd4jLong>>& modifB);
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#endif
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static void matmul(const sd::NDArray* x, const sd::NDArray* y, sd::NDArray* z, const bool transX, const bool transY, double alpha = 1.0, double beta = 0.0);
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};
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}
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#endif //LIBND4J_MMULHELPER_H
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