cavis/libnd4j/include/ops/declarable/helpers/cpu/matmul.cpp

65 lines
2.7 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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
******************************************************************************/
//
// Created by raver119 on 20.12.17.
//
#include <ops/declarable/helpers/matmul.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename X, typename Y, typename Z>
void __matmul(NDArray *vA, NDArray *vB, NDArray *vC, int transA, int transB, double alpha, double beta) {
CBLAS_TRANSPOSE tA = (CBLAS_TRANSPOSE) transA;
CBLAS_TRANSPOSE tB = (CBLAS_TRANSPOSE) transB;
int M = vA->sizeAt(0);
int N = vB->sizeAt(1);
int K = vA->sizeAt(1);
int ldA = transA == CblasNoTrans ? M : K;
int ldB = transB == CblasNoTrans ? K : N;
int ldC = M;
auto A = reinterpret_cast<X *>(vA->buffer());
auto B = reinterpret_cast<Y *>(vB->buffer());
auto C = reinterpret_cast<Z *>(vC->buffer());
PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(2)
for (int m = 0; m < M; ++m) {
for (int n = 0; n < N; ++n) {
Z c_mnp = 0;
for (int k = 0; k < K; ++k)
c_mnp += (Z) A[tA == CblasNoTrans ? (m + k * ldA) : (m * ldA + k)] * (Z) B[tB == CblasNoTrans ? (k + n * ldB) : (k * ldB + n)];
C[m + n * ldC] = (Z) alpha * (Z) c_mnp + (Z) beta * (Z) C[m + n * ldC];
}
}
}
void _matmul(nd4j::LaunchContext * context, NDArray *vA, NDArray *vB, NDArray *vC, int transA, int transB, double alpha, double beta) {
BUILD_TRIPLE_SELECTOR(vA->dataType(), vB->dataType(), vC->dataType(), __matmul, (vA, vB, vC, transA, transB, alpha, beta), LIBND4J_TYPES, LIBND4J_TYPES, LIBND4J_TYPES);
}
BUILD_TRIPLE_TEMPLATE(template void __matmul, (NDArray *A, NDArray *B, NDArray *C, int transA, int transB, double alpha, double beta), LIBND4J_TYPES, LIBND4J_TYPES, LIBND4J_TYPES);
}
}
}