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/*
* 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/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/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 };
};
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)
{
// 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));
_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);
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);
}
Status NEFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output,
FullyConnectedLayerInfo fc_info)
{
return cpu::CpuFullyConnected::validate(input, weights, biases, output, fc_info);
}
void NEFullyConnectedLayer::run()
{
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
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