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/*******************************************************************************
* Copyright 2021-2025 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_INNER_PRODUCT_HPP
#define CPU_AARCH64_ACL_INNER_PRODUCT_HPP
#include "cpu/aarch64/acl_post_ops.hpp"
#include "cpu/aarch64/acl_utils.hpp"
#include "cpu/cpu_inner_product_pd.hpp"
#include "arm_compute/runtime/experimental/operators/CpuFullyConnected.h"
namespace dnnl {
namespace impl {
namespace cpu {
namespace aarch64 {
struct acl_ip_conf_t {
bool with_bias;
// If this is true, the result of the inner product goes into a temporarily
// allocated ACL tensor to be accumulated into the oneDNN dst during postops
bool use_dst_acc_for_sum;
arm_compute::TensorInfo src_tensor_info;
arm_compute::TensorInfo wei_tensor_info;
arm_compute::TensorInfo bia_tensor_info;
arm_compute::TensorInfo dst_tensor_info;
arm_compute::FullyConnectedLayerInfo fc_info;
// Additional information about the weights not included in wei_tensor_info
arm_compute::WeightsInfo weights_info;
};
struct acl_inner_product_fwd_t : public primitive_t {
struct pd_t : public cpu_inner_product_fwd_pd_t {
using cpu_inner_product_fwd_pd_t::cpu_inner_product_fwd_pd_t;
DECLARE_COMMON_PD_T("acl", acl_inner_product_fwd_t);
status_t init(engine_t *engine);
acl_ip_conf_t aip_ = utils::zero<decltype(aip_)>();
acl_post_ops_t post_ops;
status_t init_conf_ip(
engine_t *engine, format_kind_t weights_format_kind_received);
}; // pd_t
// constructor
acl_inner_product_fwd_t(const pd_t *apd) : primitive_t(apd) {}
status_t execute(const exec_ctx_t &ctx) const override;
private:
// To guard the const execute_forward, the mutex must be 'mutable'
mutable std::mutex mtx;
status_t init(engine_t *engine) override;
status_t execute_forward(const exec_ctx_t &ctx) const;
inline const pd_t *pd() const {
return static_cast<const pd_t *>(primitive_t::pd().get());
}
std::unique_ptr<arm_compute::experimental::op::CpuFullyConnected>
inner_product_op_;
}; // acl_inner_product_fwd_t
} // namespace aarch64
} // namespace cpu
} // namespace impl
} // namespace dnnl
#endif // CPU_AARCH64_ACL_INNER_PRODUCT_HPP