3e2dbc65dd
* libnd4j added optional alpha and beta support to matmul Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j typos fixes Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j add optional alpha and beta to matmul_bp Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j one more typo fix Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j added optional alpha and beta to mkl implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * MatMul alpha/beta on java side Signed-off-by: raver119 <raver119@gmail.com> * alpha/beta fix in libnd4j Signed-off-by: raver119 <raver119@gmail.com> * alpha/beta fix in matmul_bp Signed-off-by: raver119 <raver119@gmail.com> * restored view validation Signed-off-by: raver119 <raver119@gmail.com> * gemv/gemm now use MatMul op Signed-off-by: raver119 <raver119@gmail.com> * few tests fixed Signed-off-by: raver119 <raver119@gmail.com> * additional INDArray.mmul signature Signed-off-by: raver119 <raver119@gmail.com> * make C order default for INDArray.mmul, unless both A/B have F order Signed-off-by: raver119 <raver119@gmail.com> * Nd4j.gemm validation fix Signed-off-by: raver119 <raver119@gmail.com> * disable mkldnn matmul for xxf with beta != 0 case Signed-off-by: raver119 <raver119@gmail.com> * SimpleRnn workspace fix + timeouts Signed-off-by: Alex Black <blacka101@gmail.com> * two more tests + minor fix in matmul platform check Signed-off-by: raver119 <raver119@gmail.com> * Flaky test fixes Signed-off-by: Alex Black <blacka101@gmail.com> * propagate testresources profile Signed-off-by: raver119 <raver119@gmail.com> * Resources fix + flaky test fix Signed-off-by: Alex Black <blacka101@gmail.com> Co-authored-by: Oleg <oleg.semeniv@gmail.com> Co-authored-by: Alex Black <blacka101@gmail.com>
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 "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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