onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* 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.
*******************************************************************************/

#ifndef CPU_CPU_BATCH_NORMALIZATION_UTILS_HPP
#define CPU_CPU_BATCH_NORMALIZATION_UTILS_HPP

#include "common/batch_normalization_pd.hpp"

namespace dnnl {
namespace impl {
namespace cpu {
namespace bnorm_utils {

void cache_balance(size_t working_set_size, dim_t C_blks, dim_t N, int nthr,
        dim_t &C_blks_per_iter, int64_t &iters);

bool thread_balance(bool do_blocking, bool spatial_thr_allowed, bool is_nhwc,
        int ithr, int nthr, dim_t N, dim_t C_blks, dim_t SP, int &C_ithr,
        int &C_nthr, dim_t &C_blk_s, dim_t &C_blk_e, int &N_ithr, int &N_nthr,
        dim_t &N_s, dim_t &N_e, int &S_ithr, int &S_nthr, dim_t &S_s,
        dim_t &S_e);

bool is_spatial_thr(const batch_normalization_pd_t *bdesc, bool is_nhwc,
        int simd_w, int data_size);

} // namespace bnorm_utils
} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif