68 lines
3.4 KiB
C++
68 lines
3.4 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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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* 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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// @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 "NDArray.h"
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namespace nd4j {
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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 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');
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// dot product of vectors (X * Y) = Z[0]
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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);
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// multiptication Matrix to Matrix
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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');
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// multiptication Matrix to vector
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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');
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public:
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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');
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static nd4j::NDArray* tensorDot(const nd4j::NDArray* A, const nd4j::NDArray* B, const std::initializer_list<int>& axesA, const std::initializer_list<int>& axesB = {});
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static nd4j::NDArray* tensorDot(const nd4j::NDArray* A, const nd4j::NDArray* B, const std::vector<int>& axesA, const std::vector<int>& axesB);
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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 = {});
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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 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);
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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);
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#endif
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static void matmul(const nd4j::NDArray* x, const nd4j::NDArray* y, nd4j::NDArray* z, const bool transX, const bool transY);
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};
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}
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#endif //LIBND4J_MMULHELPER_H
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