/* * Copyright (c) 2017-2021 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/CLFullyConnectedLayer.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/runtime/CL/CLScheduler.h" #include "src/core/helpers/MemoryHelpers.h" #include "src/runtime/gpu/cl/operators/ClFullyConnected.h" namespace arm_compute { using namespace arm_compute::experimental; struct CLFullyConnectedLayer::Impl { MemoryGroup memory_group{}; IWeightsManager *weights_manager{ nullptr }; std::unique_ptr op{ nullptr }; const ITensor *original_weights{ nullptr }; ITensorPack run_pack{}; WorkspaceData workspace{}; experimental::MemoryRequirements aux_mem_req{}; bool is_prepared{ false }; }; CLFullyConnectedLayer::CLFullyConnectedLayer(std::shared_ptr memory_manager, IWeightsManager *weights_manager) : _impl(std::make_unique()) { _impl->memory_group = MemoryGroup(std::move(memory_manager)); _impl->weights_manager = weights_manager; } CLFullyConnectedLayer::~CLFullyConnectedLayer() = default; void CLFullyConnectedLayer::configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, FullyConnectedLayerInfo fc_info) { configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, fc_info); } void CLFullyConnectedLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, FullyConnectedLayerInfo fc_info) { // Perform validate step ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_ERROR_THROW_ON(CLFullyConnectedLayer::validate(input->info(), weights->info(), biases != nullptr ? biases->info() : nullptr, output->info(), fc_info)); _impl->op = std::make_unique(); _impl->original_weights = weights; _impl->is_prepared = false; _impl->op->configure(compile_context, input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), fc_info); _impl->aux_mem_req = _impl->op->workspace(); _impl->run_pack = { { ACL_SRC_0, input }, { ACL_SRC_1, weights }, { ACL_SRC_2, biases }, { ACL_DST, output } }; _impl->workspace = manage_workspace(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->run_pack); } Status CLFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, FullyConnectedLayerInfo fc_info) { return opencl::ClFullyConnected::validate(input, weights, biases, output, fc_info); } void CLFullyConnectedLayer::run() { prepare(); MemoryGroupResourceScope scope_mg(_impl->memory_group); _impl->op->run(_impl->run_pack); } void CLFullyConnectedLayer::prepare() { if(!_impl->is_prepared) { _impl->op->prepare(_impl->run_pack); // Release temporary tensors that are only used in prepare stage release_temporaries(_impl->aux_mem_req, _impl->workspace); _impl->is_prepared = true; } } } // namespace arm_compute