/* * Copyright (c) 2018-2021 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 "arm_compute/runtime/CL/functions/CLConcatenateLayer.h" #include "arm_compute/core/CL/ICLTensor.h" #include "src/core/CL/ICLKernel.h" #include "src/runtime/gpu/cl/operators/ClConcatenate.h" namespace arm_compute { struct CLConcatenateLayer::Impl { std::vector srcs{}; ICLTensor *dst{ nullptr }; unsigned int num_inputs{ 0 }; unsigned int axis{ 0 }; std::unique_ptr op{ nullptr }; }; CLConcatenateLayer::CLConcatenateLayer() : _impl(std::make_unique()) { } CLConcatenateLayer::CLConcatenateLayer(CLConcatenateLayer &&) = default; CLConcatenateLayer &CLConcatenateLayer::operator=(CLConcatenateLayer &&) = default; CLConcatenateLayer::~CLConcatenateLayer() = default; void CLConcatenateLayer::configure(std::vector &inputs_vector, ICLTensor *output, size_t axis) { configure(CLKernelLibrary::get().get_compile_context(), inputs_vector, output, axis); } void CLConcatenateLayer::configure(const CLCompileContext &compile_context, std::vector &inputs_vector, ICLTensor *output, size_t axis) { ARM_COMPUTE_ERROR_ON(output == nullptr); _impl->srcs = inputs_vector; _impl->dst = output; _impl->axis = axis; _impl->num_inputs = inputs_vector.size(); _impl->op = std::make_unique(); std::vector inputs_vector_info; for(unsigned int i = 0; i < inputs_vector.size(); ++i) { ARM_COMPUTE_ERROR_ON_NULLPTR(inputs_vector.at(i)); inputs_vector_info.emplace_back(inputs_vector.at(i)->info()); } _impl->op->configure(compile_context, inputs_vector_info, _impl->dst->info(), axis); } Status CLConcatenateLayer::validate(const std::vector &inputs_vector, const ITensorInfo *output, size_t axis) { return opencl::ClConcatenate::validate(inputs_vector, output, axis); } void CLConcatenateLayer::run() { ITensorPack pack; for(unsigned i = 0; i < _impl->num_inputs; ++i) { pack.add_tensor(TensorType::ACL_SRC_VEC + i, _impl->srcs.at(i)); } pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } } // namespace arm_compute