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/*
* Copyright (c) 2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/runtime/CL/CLRuntimeContext.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLHelpers.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
namespace arm_compute
{
CLRuntimeContext::CLRuntimeContext()
: _gpu_owned_scheduler(support::cpp14::make_unique<CLScheduler>()), _gpu_scheduler(_gpu_owned_scheduler.get()), _symbols(), _core_context()
{
_symbols.load_default();
auto ctx_dev_err = create_opencl_context_and_device();
ARM_COMPUTE_ERROR_ON_MSG(std::get<2>(ctx_dev_err) != CL_SUCCESS, "Failed to create OpenCL context");
auto ctx = std::get<0>(ctx_dev_err);
auto dev = std::get<1>(ctx_dev_err);
cl::CommandQueue queue = cl::CommandQueue(ctx, dev);
_gpu_owned_scheduler->init(ctx, queue, dev, &_tuner);
const std::string cl_kernels_folder("./cl_kernels");
_kernel_lib.init(cl_kernels_folder, ctx, dev);
_core_context = CLCoreRuntimeContext(&_kernel_lib, _gpu_owned_scheduler->context(), _gpu_owned_scheduler->queue());
}
CLKernelLibrary &CLRuntimeContext::kernel_library()
{
return _kernel_lib;
}
CLCoreRuntimeContext *CLRuntimeContext::core_runtime_context()
{
return &_core_context;
}
void CLRuntimeContext::set_gpu_scheduler(CLScheduler *scheduler)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(scheduler);
_gpu_scheduler = scheduler;
}
CLScheduler *CLRuntimeContext::gpu_scheduler()
{
return _gpu_scheduler;
}
} // namespace arm_compute
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