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/*******************************************************************************
* Copyright 2022, 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_THREADPOOL_SCHEDULER_HPP
#define CPU_AARCH64_ACL_THREADPOOL_SCHEDULER_HPP
#include "oneapi/dnnl/dnnl_config.h"
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_THREADPOOL
#include "arm_compute/runtime/IScheduler.h"
#include <mutex>
namespace dnnl {
namespace impl {
namespace cpu {
namespace aarch64 {
class ThreadpoolScheduler final : public arm_compute::IScheduler {
public:
ThreadpoolScheduler();
~ThreadpoolScheduler() override;
/// Sets the number of threads the scheduler will use to run the kernels.
void set_num_threads(unsigned int num_threads) override;
/// Returns the number of threads that the ThreadpoolScheduler has in its pool.
unsigned int num_threads() const override;
/// Multithread the execution of the passed kernel if possible.
void schedule(arm_compute::ICPPKernel *kernel,
const arm_compute::IScheduler::Hints &hints) override;
/// Multithread the execution of the passed kernel if possible.
void schedule_op(arm_compute::ICPPKernel *kernel,
const arm_compute::IScheduler::Hints &hints,
const arm_compute::Window &window,
arm_compute::ITensorPack &tensors) override;
protected:
/// Execute workloads in parallel using num_threads
void run_workloads(std::vector<Workload> &workloads) override;
private:
unsigned int _num_threads {};
std::mutex _mtx;
};
} // namespace aarch64
} // namespace cpu
} // namespace impl
} // namespace dnnl
#endif // DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_THREADPOOL
#endif // CPU_AARCH64_ACL_THREADPOOL_SCHEDULER_HPP