/* * 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" namespace arm_compute { namespace gpu { namespace opencl { namespace { mlgo::MLGOHeuristics populate_mlgo(const char *filename) { mlgo::MLGOHeuristics heuristics; bool 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_context() { if(options != nullptr) { _mlgo_heuristics = populate_mlgo(options->kernel_config_file); } } const mlgo::MLGOHeuristics &ClContext::mlgo() const { return _mlgo_heuristics; } ::cl::Context ClContext::cl_ctx() { return _cl_context; } bool ClContext::set_cl_ctx(::cl::Context ctx) { if(this->refcount() == 0) { _cl_context = ctx; return true; } return false; } } // namespace opencl } // namespace gpu } // namespace arm_compute