| /* |
| * Copyright (c) 2017-2023 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/NEON/functions/NEFullyConnectedLayer.h" |
| |
| #include "arm_compute/core/ITensorPack.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h" |
| #include "src/common/utils/Log.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/cpu/operators/CpuFullyConnected.h" |
| |
| namespace arm_compute |
| { |
| using namespace arm_compute::experimental; |
| |
| struct NEFullyConnectedLayer::Impl |
| { |
| MemoryGroup memory_group{}; |
| IWeightsManager *weights_manager{ nullptr }; |
| |
| std::unique_ptr<cpu::CpuFullyConnected> op{ nullptr }; |
| |
| const ITensor *original_weights{ nullptr }; |
| |
| ITensorPack run_pack{}; |
| WorkspaceData<Tensor> workspace{}; |
| experimental::MemoryRequirements aux_mem_req{}; |
| |
| bool is_prepared{ false }; |
| bool dynamic_weights{ false }; |
| }; |
| |
| NEFullyConnectedLayer::~NEFullyConnectedLayer() = default; |
| |
| NEFullyConnectedLayer::NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->memory_group = MemoryGroup(std::move(memory_manager)); |
| _impl->weights_manager = weights_manager; |
| } |
| |
| void NEFullyConnectedLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, |
| FullyConnectedLayerInfo fc_info, const WeightsInfo &weights_info) |
| { |
| // Perform validate step |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
| ARM_COMPUTE_ERROR_THROW_ON(NEFullyConnectedLayer::validate(input->info(), |
| weights->info(), |
| biases != nullptr ? biases->info() : nullptr, |
| output->info(), |
| fc_info, |
| weights_info)); |
| ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, fc_info); |
| |
| _impl->op = std::make_unique<cpu::CpuFullyConnected>(); |
| _impl->original_weights = weights; |
| _impl->is_prepared = false; |
| |
| _impl->op->configure(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), fc_info, weights_info); |
| |
| if(_impl->weights_manager != nullptr) |
| { |
| _impl->weights_manager->manage(_impl->original_weights); |
| } |
| |
| _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<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->run_pack); |
| |
| _impl->dynamic_weights = |
| !weights->info()->are_values_constant() && |
| fc_info.transpose_weights && |
| !fc_info.are_weights_reshaped && |
| !fc_info.retain_internal_weights; |
| } |
| |
| Status NEFullyConnectedLayer::has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *input, const ITensorInfo *weights, |
| const ITensorInfo *biases, const ITensorInfo *output, const FullyConnectedLayerInfo &fc_info, |
| const WeightsInfo &weights_info) |
| { |
| return cpu::CpuFullyConnected::has_opt_impl(expected_weight_format, input, weights, biases, output, fc_info, weights_info); |
| } |
| |
| Status NEFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, |
| FullyConnectedLayerInfo fc_info, const WeightsInfo &weights_info) |
| { |
| return cpu::CpuFullyConnected::validate(input, weights, biases, output, fc_info, weights_info); |
| } |
| |
| void NEFullyConnectedLayer::run() |
| { |
| if(!_impl->dynamic_weights) |
| { |
| prepare(); |
| } |
| |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void NEFullyConnectedLayer::prepare() |
| { |
| if(!_impl->is_prepared) |
| { |
| _impl->op->prepare(_impl->run_pack); |
| |
| // Release temporary tensors that are only used in prepare stage |
| release_temporaries<Tensor>(_impl->aux_mem_req, _impl->workspace); |
| _impl->is_prepared = true; |
| |
| // Handle weights managed infrastructure |
| if(_impl->weights_manager != nullptr && _impl->weights_manager->are_weights_managed(_impl->original_weights)) |
| { |
| // Ensure that b gets marked as unused (memory released) only after the last function which uses b also finishes its prepare |
| // This is for cases where multiple functions share the same b (weights) |
| // Therefore when a function marks original b as unused, we pre-mark it in weights manager, and mark it back to used so that it doesn't get released before its last reference |
| const ITensor *original_b = _impl->original_weights; |
| if(!original_b->is_used()) |
| { |
| _impl->weights_manager->pre_mark_as_unused(original_b); |
| } |
| _impl->original_weights->mark_as_used(); |
| _impl->weights_manager->release(_impl->original_weights); |
| } |
| } |
| } |
| } // namespace arm_compute |