onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation 
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/*******************************************************************************
* Copyright 2020-2025 Arm Ltd. and affiliates
*
* 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_AARCH64_ACL_GEMM_CONVOLUTION_HPP
#define CPU_AARCH64_ACL_GEMM_CONVOLUTION_HPP

#include "common/memory_tracking.hpp"
#include "cpu/cpu_convolution_pd.hpp"

#include "acl_convolution_utils.hpp"
#include "acl_post_ops.hpp"
#include "arm_compute/runtime/experimental/operators/CpuGemmConv2d.h"

namespace dnnl {
namespace impl {
namespace cpu {
namespace aarch64 {

template <data_type_t src_type, data_type_t wei_type = src_type,
        data_type_t dst_type = src_type, data_type_t bia_type = dst_type>
struct acl_gemm_convolution_fwd_t : public primitive_t {

    using Op = arm_compute::experimental::op::CpuGemmConv2d;

    struct pd_t : public cpu_convolution_fwd_pd_t {
        using cpu_convolution_fwd_pd_t::cpu_convolution_fwd_pd_t;

        DECLARE_COMMON_PD_T(
                "gemm:acl", acl_gemm_convolution_fwd_t, USE_GLOBAL_SCRATCHPAD);

        status_t init(engine_t *engine);

        acl_conv_conf_t acp_ = utils::zero<decltype(acp_)>();
        acl_post_ops_t post_ops;
    };

    acl_gemm_convolution_fwd_t(const pd_t *apd)
        : primitive_t(apd), acl_obj_(std::make_unique<acl_obj_t<Op>>()) {}

    status_t init(engine_t *engine) override;

    using src_data_t = typename prec_traits_t<src_type>::type;
    using wei_data_t = typename prec_traits_t<wei_type>::type;
    using dst_data_t = typename prec_traits_t<dst_type>::type;
    using bia_data_t = typename prec_traits_t<bia_type>::type;

    status_t execute(const exec_ctx_t &ctx) const override {
        return execute_forward(ctx);
    }

private:
    status_t execute_forward(const exec_ctx_t &ctx) const;
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
    std::unique_ptr<acl_obj_t<Op>> acl_obj_;
}; // acl_gemm_convolution_fwd_t

} // namespace aarch64
} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif