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131 lines
3.0 KiB
131 lines
3.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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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,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifndef MATHFUNCTIONS_H_
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#define MATHFUNCTIONS_H_
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#ifdef PADDLE_WITH_MKLML
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#include <mkl_cblas.h>
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#include <mkl_lapacke.h>
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#include <mkl_vml_functions.h>
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#endif
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#if defined(PADDLE_USE_ATLAS) || defined(PADDLE_USE_VECLIB)
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extern "C" {
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#include <cblas.h>
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#include <clapack.h>
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}
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#endif
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#ifdef PADDLE_USE_OPENBLAS
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#include <cblas.h>
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#include <lapacke.h>
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#endif
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#ifndef LAPACK_FOUND
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extern "C" {
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#ifndef PADDLE_USE_EIGEN_FOR_BLAS
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#include <cblas.h>
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#else
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typedef enum CBLAS_ORDER {
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CblasRowMajor = 101,
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CblasColMajor = 102
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} CBLAS_ORDER;
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#endif
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int LAPACKE_sgetrf(
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int matrix_layout, int m, int n, float* a, int lda, int* ipiv);
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int LAPACKE_dgetrf(
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int matrix_layout, int m, int n, double* a, int lda, int* ipiv);
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int LAPACKE_sgetri(
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int matrix_layout, int n, float* a, int lda, const int* ipiv);
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int LAPACKE_dgetri(
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int matrix_layout, int n, double* a, int lda, const int* ipiv);
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}
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#endif
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#include <cmath>
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namespace paddle {
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#ifndef PADDLE_USE_EIGEN_FOR_BLAS
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template <class T>
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void gemm(const CBLAS_TRANSPOSE transA,
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const CBLAS_TRANSPOSE transB,
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const int M,
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const int N,
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const int K,
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const T alpha,
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const T* A,
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const int lda,
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const T* B,
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const int ldb,
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const T beta,
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T* C,
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const int ldc);
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#endif
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template <class T>
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int getrf(const CBLAS_ORDER Order,
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const int M,
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const int N,
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T* A,
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const int lda,
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int* ipiv);
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template <class T>
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int getri(
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const CBLAS_ORDER Order, const int N, T* A, const int lda, const int* ipiv);
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template <class T>
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void axpy(const int n, const T alpha, const T* x, T* y) {
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/// y = y + alpha * x
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for (int i = 0; i < n; i++) {
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y[i] = y[i] + alpha * x[i];
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}
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}
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template <class T>
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T dotProduct(const int n, const T* x, const T* y) {
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T result = static_cast<T>(0);
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for (int i = 0; i < n; i++) {
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result += x[i] * y[i];
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}
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return result;
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}
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template <class T>
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void vExp(const int n, const T* a, T* r);
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template <class T>
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void vPow(const int n, const T* a, const T b, T* r);
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template <class T>
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void vLog(const int n, const T* a, T* r);
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template <class T>
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void vAdd(const int n, const T* a, const T* b, T* r);
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template <class T>
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void vInvSqrt(const int n, const T* a, T* r);
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template <class T>
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void vLog1p(const int n, const T* a, T* r);
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template <class T>
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void vTanh(const int n, const T* a, T* r);
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} // namespace paddle
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#endif // MATHFUNCTIONS_H_
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