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/*
* Copyright (c) 2021 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 "src/gpu/cl/ClContext.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "src/gpu/cl/ClQueue.h"
#include "src/gpu/cl/ClTensor.h"
namespace arm_compute
{
namespace gpu
{
namespace opencl
{
namespace
{
mlgo::MLGOHeuristics populate_mlgo(const char *filename)
{
bool status = false;
mlgo::MLGOHeuristics heuristics;
if (filename != nullptr)
{
status = heuristics.reload_from_file(filename);
}
return status ? std::move(heuristics) : mlgo::MLGOHeuristics();
}
} // namespace
ClContext::ClContext(const AclContextOptions *options)
: IContext(Target::GpuOcl), _mlgo_heuristics(), _cl_ctx(), _cl_dev()
{
if (options != nullptr)
{
_mlgo_heuristics = populate_mlgo(options->kernel_config_file);
}
_cl_ctx = CLKernelLibrary::get().context();
_cl_dev = CLKernelLibrary::get().get_device();
}
const mlgo::MLGOHeuristics &ClContext::mlgo() const
{
return _mlgo_heuristics;
}
::cl::Context ClContext::cl_ctx()
{
return _cl_ctx;
}
::cl::Device ClContext::cl_dev()
{
return _cl_dev;
}
bool ClContext::set_cl_ctx(::cl::Context ctx)
{
if (this->refcount() == 0)
{
_cl_ctx = ctx;
CLScheduler::get().set_context(ctx);
return true;
}
return false;
}
ITensorV2 *ClContext::create_tensor(const AclTensorDescriptor &desc, bool allocate)
{
ClTensor *tensor = new ClTensor(this, desc);
if (tensor != nullptr && allocate)
{
tensor->allocate();
}
return tensor;
}
IQueue *ClContext::create_queue(const AclQueueOptions *options)
{
return new ClQueue(this, options);
}
} // namespace opencl
} // namespace gpu
} // namespace arm_compute
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