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/*******************************************************************************
* Copyright 2018 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://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.
*******************************************************************************/
#include <mutex>
#include "mkldnn.h"
#include "verbose.hpp"
#include "jit_avx_gemm_f32.hpp"
#include "jit_avx512_common_gemm_f32.hpp"
#include "gemm.hpp"
#include "../jit_generator.hpp"
#include "nstl.hpp"
#include "os_blas.hpp"
/* USE_MKL USE_CBLAS effect
* ------- --------- ------
* yes yes use Intel(R) MKL CBLAS
* yes no use jit
* no yes system-dependent CBLAS
* no no use jit
*/
namespace mkldnn {
namespace impl {
namespace cpu {
using namespace mkldnn::impl::status;
mkldnn_status_t check_gemm_input(const char *transa, const char *transb,
const int *M, const int *N, const int *K, const int *lda,
const int *ldb, const int *ldc, const float *alpha, const float *beta,
const bool with_bias) {
if (utils::any_null(transa, transb, M, N, K, lda, ldb, ldc, alpha, beta))
return invalid_arguments;
if (with_bias && *beta != 0)
return unimplemented;
bool consistency = true
&& utils::one_of(*transa, 'T', 't', 'N', 'n')
&& utils::one_of(*transb, 'T', 't', 'N', 'n')
&& *M >= 0
&& *N >= 0
&& *K >= 0;
if (!consistency) return invalid_arguments;
bool isTransA = utils::one_of(*transa, 'T', 't');
bool isTransB = utils::one_of(*transb, 'T', 't');
int nrowA = isTransA ? *K : *M;
int nrowB = isTransB ? *N : *K;
consistency = true
&& *lda >= nstl::max(1, nrowA)
&& *ldb >= nstl::max(1, nrowB)
&& *ldc >= nstl::max(1, *M);
if (!consistency) return invalid_arguments;
return success;
}
struct gemm_impl_t {
gemm_impl_t(char transa, char transb, bool zero_beta, bool with_bias) {
//jit kernel has three codepaths: beta is 0, 1 or arbitrary
//we will generate kernel for 0 and arbitrary beta
float zero = 0.0f, arbitrary_float = 2.0f;
if (mayiuse(avx512_common)) {
isa_ = avx512_common;
ker_ = (void *)new jit_avx512_common_gemm_f32(
transa, transb, zero_beta ? zero : arbitrary_float,
with_bias);
}
else if (mayiuse(avx)) {
isa_ = avx;
ker_ = (void *)new jit_avx_gemm_f32(
transa, transb, zero_beta ? zero : arbitrary_float,
with_bias);
}
}
mkldnn_status_t call(const char *transa, const char *transb, const int *M,
const int *N, const int *K, const float *alpha, const float *A,
const int *lda, const float *B, const int *ldb, const float *beta,
float *C, const int *ldc, const float *bias = nullptr) {
switch (isa_) {
case avx:
((jit_avx_gemm_f32*)ker_)->sgemm(transa, transb, M, N, K,
alpha, A, lda, B, ldb, beta, C, ldc, bias);
break;
case avx512_common:
((jit_avx512_common_gemm_f32*)ker_)->sgemm(transa, transb,
M, N, K, alpha, A, lda, B, ldb, beta, C, ldc, bias);
break;
default:
ref_gemm(transa, transb, M, N, K, alpha, A, lda, B, ldb, beta,
C, ldc, bias);
break;
}
return mkldnn_success;
}
void *ker_;
cpu_isa_t isa_;
};
//Gemm implementations for: zero/nonzero beta, transA, transB
static gemm_impl_t *gemm_impl[2][2][2];
//Gemm with bias implementations for: transA, transB
//Gemm with bias for beta!=0. is not supported
static gemm_impl_t *gemm_bias_impl[2][2];
void initialize() {
for (int i = 0; i < 2; ++i) {
gemm_impl[i][0][0] = new gemm_impl_t('n', 'n', (bool)i, false);
gemm_impl[i][0][1] = new gemm_impl_t('n', 't', (bool)i, false);
gemm_impl[i][1][0] = new gemm_impl_t('t', 'n', (bool)i, false);
gemm_impl[i][1][1] = new gemm_impl_t('t', 't', (bool)i, false);
}
gemm_bias_impl[0][0] = new gemm_impl_t('n', 'n', true, true);
gemm_bias_impl[0][1] = new gemm_impl_t('n', 't', true, true);
gemm_bias_impl[1][0] = new gemm_impl_t('t', 'n', true, true);
gemm_bias_impl[1][1] = new gemm_impl_t('t', 't', true, true);
}
mkldnn_status_t extended_sgemm(const char *transa, const char *transb,
const int *M, const int *N, const int *K, const float *alpha,
const float *A, const int *lda, const float *B, const int *ldb,
const float *beta, float *C, const int *ldc,
const float *bias) {
//Check input
mkldnn_status_t status = check_gemm_input(transa, transb, M, N, K,
lda, ldb, ldc, alpha, beta, bias != nullptr);
if (status != mkldnn_success)
return status;
if (*M == 0 || *N == 0 || *K == 0)
return mkldnn_success;
int trA = *transa == 't' || *transa == 'T';
int trB = *transb == 't' || *transb == 'T';
#ifdef USE_CBLAS
//Call cblas
CBLAS_TRANSPOSE Cblas_trA = trA ? CblasTrans : CblasNoTrans;
CBLAS_TRANSPOSE Cblas_trB = trB ? CblasTrans : CblasNoTrans;
cblas_sgemm(CblasColMajor, Cblas_trA, Cblas_trB,
*M, *N, *K, *alpha, A, *lda, B, *ldb, *beta, C, *ldc);
//Add bias if necessary (bias is applied to columns of C)
if (bias) {
cblas_int incx = 1, incy = 1;
parallel_nd(*N, [&](int n) {
cblas_saxpy(*M, 1.0, bias, incx, C + n*(*ldc), incy);
});
}
return mkldnn_success;
#else
//Generate jit kernel and call sgemm with bias
volatile static int initialized = 0;
if (!initialized) {
static std::mutex mtx;
std::lock_guard<std::mutex> lock(mtx);
if (!initialized) {
mkldnn::impl::cpu::initialize();
initialized = 1;
}
}
if (bias)
gemm_bias_impl[trA][trB]->call(
transa, transb, M, N, K, alpha, A, lda, B, ldb, beta, C, ldc,
bias);
else
gemm_impl[*beta == 0.f][trA][trB]->call(
transa, transb, M, N, K, alpha, A, lda, B, ldb, beta, C, ldc);
return mkldnn_success;
#endif
}
}
}
}
using namespace mkldnn::impl;
using namespace mkldnn::impl::cpu;
mkldnn_status_t mkldnn_sgemm(const char *transa, const char *transb,
const int *M, const int *N, const int *K, const float *alpha,
const float *A, const int *lda, const float *B, const int *ldb,
const float *beta, float *C, const int *ldc) {
return extended_sgemm(
transa, transb, M, N, K, alpha, A, lda, B, ldb, beta, C, ldc);
}
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