| /* |
| * Copyright (c) 2020-2021 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/NEGEMMConv2d.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/runtime/cpu/operators/CpuGemmDirectConv2d.h" |
| |
| namespace arm_compute |
| { |
| using OperatorType = cpu::CpuGemmDirectConv2d; |
| using namespace arm_compute::experimental; |
| |
| struct NEGEMMConv2d::Impl |
| { |
| const ITensor *weights{ nullptr }; |
| std::unique_ptr<OperatorType> op{ nullptr }; |
| ITensorPack run_pack{}; |
| ITensorPack prep_pack{}; |
| WorkspaceData<Tensor> workspace{}; |
| MemoryGroup memory_group{}; |
| bool is_prepared{ false }; |
| experimental::MemoryRequirements aux_mem_req{}; |
| }; |
| |
| NEGEMMConv2d::NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->memory_group = MemoryGroup(memory_manager); |
| } |
| |
| NEGEMMConv2d::~NEGEMMConv2d() = default; |
| |
| void NEGEMMConv2d::configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
| |
| _impl->weights = weights; |
| _impl->is_prepared = false; |
| _impl->op = std::make_unique<OperatorType>(); |
| |
| _impl->op->configure(input->info(), weights->info(), biases != nullptr ? biases->info() : nullptr, output->info(), info); |
| |
| _impl->aux_mem_req = _impl->op->workspace(); |
| _impl->run_pack = { { TensorType::ACL_SRC_0, input }, { TensorType::ACL_SRC_2, biases }, { TensorType::ACL_DST, output } }; |
| _impl->prep_pack = { { TensorType::ACL_SRC_1, weights }, { TensorType::ACL_SRC_2, biases } }; |
| _impl->workspace = manage_workspace<Tensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack, _impl->prep_pack); |
| } |
| |
| Status NEGEMMConv2d::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &info) |
| { |
| return OperatorType::validate(input, weights, biases, output, info); |
| } |
| |
| void NEGEMMConv2d::run() |
| { |
| prepare(); |
| |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void NEGEMMConv2d::prepare() |
| { |
| if(!_impl->is_prepared) |
| { |
| _impl->op->prepare(_impl->prep_pack); |
| |
| auto has_reshape = std::find_if(_impl->aux_mem_req.begin(), |
| _impl->aux_mem_req.end(), |
| [](const MemoryInfo & m) -> bool { return m.lifetime == MemoryLifetime::Persistent; }); |
| |
| if(has_reshape != std::end(_impl->aux_mem_req)) |
| { |
| _impl->weights->mark_as_unused(); |
| } |
| else |
| { |
| _impl->run_pack.add_const_tensor(ACL_SRC_1, _impl->weights); |
| } |
| |
| // Release temporary tensors that are only used in prepare stage |
| for(auto &ws : _impl->workspace) |
| { |
| const int slot = ws.first; |
| for(auto &m : _impl->aux_mem_req) |
| { |
| if(m.slot == slot && m.lifetime == MemoryLifetime::Prepare) |
| { |
| auto tensor = ws.second.get(); |
| tensor->allocator()->free(); |
| break; |
| } |
| } |
| } |
| _impl->is_prepared = true; |
| } |
| } |
| } // namespace arm_compute |