| /* |
| * Copyright (c) 2017-2022 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/NEGEMMConvolutionLayer.h" |
| |
| #include "arm_compute/core/Size2D.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/cpu/operators/CpuGemmConv2d.h" |
| |
| using namespace arm_compute::experimental; |
| |
| namespace arm_compute |
| { |
| struct NEGEMMConvolutionLayer::Impl |
| { |
| const ITensor *weights{ nullptr }; |
| std::unique_ptr<cpu::CpuGemmConv2d> op{ nullptr }; |
| ITensorPack run_pack{}; |
| MemoryGroup memory_group{}; |
| IWeightsManager *weights_manager{ nullptr }; |
| MemoryRequirements aux_mem_req{}; |
| WorkspaceData<Tensor> workspace_tensors{}; |
| bool is_prepared{ false }; |
| }; |
| |
| NEGEMMConvolutionLayer::NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager, IWeightsManager *weights_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->weights_manager = weights_manager; |
| _impl->memory_group = MemoryGroup(memory_manager); |
| } |
| NEGEMMConvolutionLayer::~NEGEMMConvolutionLayer() = default; |
| |
| void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info, |
| const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
| |
| _impl->weights = weights; |
| _impl->op = std::make_unique<cpu::CpuGemmConv2d>(); |
| _impl->op->configure(input->info(), weights->info(), (biases != nullptr ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups); |
| |
| _impl->run_pack = |
| { |
| { TensorType::ACL_SRC_0, input }, |
| { TensorType::ACL_SRC_1, weights }, |
| { TensorType::ACL_SRC_2, biases }, |
| { TensorType::ACL_DST, output } |
| }; |
| _impl->aux_mem_req = _impl->op->workspace(); |
| _impl->workspace_tensors = manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->run_pack); |
| } |
| |
| Status NEGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups) |
| { |
| return cpu::CpuGemmConv2d::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups); |
| } |
| |
| Status NEGEMMConvolutionLayer::has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, |
| const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, const bool enable_fast_math) |
| { |
| return cpu::CpuGemmConv2d::has_opt_impl(expected_weight_format, src, weights, biases, dst, conv_info, weights_info, dilation, act_info, enable_fast_math); |
| } |
| |
| void NEGEMMConvolutionLayer::run() |
| { |
| prepare(); |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void NEGEMMConvolutionLayer::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_tensors); |
| _impl->is_prepared = true; |
| } |
| } |
| } // namespace arm_compute |