onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2020 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 "cpu/binary_injector_utils.hpp"
#include "common/primitive.hpp"
#include "common/primitive_attr.hpp"
#include "oneapi/dnnl/dnnl_types.h"

namespace dnnl {
namespace impl {
namespace cpu {
namespace binary_injector_utils {

std::vector<const void *> prepare_binary_args(const post_ops_t &post_ops,
        const exec_ctx_t &ctx, const unsigned first_arg_idx_offset) {
    std::vector<const void *> post_ops_binary_rhs_arg_vec;
    post_ops_binary_rhs_arg_vec.reserve(post_ops.entry_.size());

    unsigned idx = first_arg_idx_offset;
    for (const auto &post_op : post_ops.entry_) {
        if (post_op.is_binary()) {
            post_ops_binary_rhs_arg_vec.emplace_back(CTX_IN_MEM(const void *,
                    DNNL_ARG_ATTR_MULTIPLE_POST_OP(idx) | DNNL_ARG_SRC_1));
            if (post_op.is_binary_with_ternary_op()) {
                post_ops_binary_rhs_arg_vec.emplace_back(CTX_IN_MEM(
                        const void *,
                        DNNL_ARG_ATTR_MULTIPLE_POST_OP(idx) | DNNL_ARG_SRC_2));
            }
        } else if (post_op.is_prelu()) {
            auto *arg = CTX_IN_MEM(const void *,
                    DNNL_ARG_ATTR_MULTIPLE_POST_OP(idx) | DNNL_ARG_WEIGHTS);
            assert(arg);
            post_ops_binary_rhs_arg_vec.emplace_back(arg);
        }
        ++idx;
    }

    post_ops_binary_rhs_arg_vec.shrink_to_fit();

    return post_ops_binary_rhs_arg_vec;
}

bool bcast_strategy_present(
        const std::vector<broadcasting_strategy_t> &post_ops_bcasts,
        const broadcasting_strategy_t bcast_strategy) {
    for (const auto &post_op_bcast : post_ops_bcasts)
        if (post_op_bcast == bcast_strategy) return true;
    return false;
}

memory_desc_t get_src1_desc(
        const post_ops_t::entry_t &post_op, const memory_desc_wrapper &dst_d) {
    assert(post_op.is_like_binary());
    if (post_op.is_binary())
        return post_op.binary.src1_desc;
    else {
        assert(post_op.is_prelu());
        const int mask = post_op.prelu.mask;
        dims_t src1_dims;
        const int ndims = dst_d.ndims();
        assert(ndims <= 5);
        const auto tag = utils::pick(ndims - 1, format_tag::a, format_tag::ab,
                format_tag::acb, format_tag::acdb, format_tag::acdeb);
        for (int i = 0; i < ndims; ++i)
            src1_dims[i] = ((1 << i) & mask) ? dst_d.dims()[i] : 1;
        memory_desc_t src1_md;
        memory_desc_init_by_tag(src1_md, ndims, src1_dims, data_type::f32, tag);
        return src1_md;
    }
}

memory_desc_t get_src2_desc(
        const post_ops_t::entry_t &post_op, const memory_desc_wrapper &dst_d) {
    if (post_op.is_binary_with_ternary_op()) {
        return post_op.binary.src2_desc;
    } else {
        return memory_desc_t();
    }
}

std::vector<broadcasting_strategy_t> extract_bcast_strategies(
        const std::vector<dnnl_post_ops::entry_t> &post_ops,
        const memory_desc_wrapper &dst_md) {
    std::vector<broadcasting_strategy_t> post_ops_bcasts;
    post_ops_bcasts.reserve(post_ops.size());
    for (const auto &post_op : post_ops)
        if (post_op.is_binary())
            post_ops_bcasts.emplace_back(get_rhs_arg_broadcasting_strategy(
                    post_op.binary.src1_desc, dst_md));
        else if (post_op.is_prelu())
            post_ops_bcasts.emplace_back(get_rhs_arg_broadcasting_strategy(
                    get_src1_desc(post_op, dst_md), dst_md));
    return post_ops_bcasts;
}

} // namespace binary_injector_utils
} // namespace cpu
} // namespace impl
} // namespace dnnl