onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation 
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/*******************************************************************************
* Copyright 2025 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 "common/z_magic.hpp"

#include "cpu/x64/utils/jit_regops.hpp"

namespace dnnl {
namespace impl {
namespace cpu {
namespace x64 {
namespace regops {

void horizontal_add_ps(
        jit_generator_t *code, Xbyak::Xmm src, Xbyak::Xmm workspace) {
    UNUSED(workspace);
    if (code->is_valid_isa(avx)) {
        code->vhaddps(src, src, src);
        code->vhaddps(src, src, src);
    } else {
        code->haddps(src, src);
        code->haddps(src, src);
    }
}

void horizontal_add_ps(
        jit_generator_t *code, Xbyak::Ymm src, Xbyak::Ymm workspace) {
    const Xbyak::Xmm xmm_ws {workspace.getIdx()};
    const Xbyak::Xmm xmm_src {src.getIdx()};

    code->vextractf128(xmm_ws, src, 1);
    code->vaddps(xmm_src, xmm_src, xmm_ws);
    horizontal_add_ps(code, xmm_src);
}

void horizontal_add_ps(
        jit_generator_t *code, Xbyak::Zmm src, Xbyak::Zmm workspace) {
    const Xbyak::Ymm ymm_ws {workspace.getIdx()};
    const Xbyak::Ymm ymm_src {src.getIdx()};

    code->vextractf64x4(ymm_ws, src, 1);
    code->vaddps(ymm_src, ymm_src, ymm_ws);
    horizontal_add_ps(code, ymm_src, ymm_ws);
}

} // namespace regops
} // namespace x64
} // namespace cpu
} // namespace impl
} // namespace dnnl