| /* |
| * Copyright (c) 2018-2021 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/CLWinogradConvolutionLayer.h" |
| |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/KernelDescriptors.h" |
| |
| #include "src/core/CL/ICLKernel.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/gpu/cl/operators/ClWinogradConv2d.h" |
| #include "support/Cast.h" |
| |
| namespace arm_compute |
| { |
| struct CLWinogradConvolutionLayer::Impl |
| { |
| const ICLTensor *src{nullptr}; |
| const ICLTensor *weights{nullptr}; |
| const ICLTensor *biases{nullptr}; |
| ICLTensor *dst{nullptr}; |
| std::unique_ptr<opencl::ClWinogradConv2d> op{nullptr}; |
| ITensorPack run_pack{}; |
| MemoryGroup memory_group{}; |
| WorkspaceData<CLTensor> workspace_tensors{}; |
| bool is_prepared{false}; |
| }; |
| |
| CLWinogradConvolutionLayer::CLWinogradConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->memory_group = MemoryGroup(memory_manager); |
| } |
| |
| CLWinogradConvolutionLayer::~CLWinogradConvolutionLayer() = default; |
| |
| void CLWinogradConvolutionLayer::configure(ICLTensor *input, |
| const ICLTensor *weights, |
| const ICLTensor *biases, |
| ICLTensor *output, |
| const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info, |
| bool enable_fast_math) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, act_info, |
| enable_fast_math); |
| } |
| |
| void CLWinogradConvolutionLayer::configure(const CLCompileContext &compile_context, |
| ICLTensor *input, |
| const ICLTensor *weights, |
| const ICLTensor *biases, |
| ICLTensor *output, |
| const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info, |
| bool enable_fast_math) |
| { |
| _impl->src = input; |
| _impl->weights = weights; |
| _impl->biases = biases; |
| _impl->dst = output; |
| |
| _impl->op = std::make_unique<opencl::ClWinogradConv2d>(); |
| _impl->op->configure(compile_context, input->info(), weights->info(), |
| (biases != nullptr ? biases->info() : nullptr), output->info(), conv_info, act_info, |
| enable_fast_math); |
| |
| _impl->run_pack = {{TensorType::ACL_SRC_0, _impl->src}, |
| {TensorType::ACL_SRC_1, _impl->weights}, |
| {TensorType::ACL_SRC_2, _impl->biases}, |
| {TensorType::ACL_DST, _impl->dst}}; |
| _impl->workspace_tensors = |
| manage_workspace<CLTensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack, _impl->run_pack); |
| } |
| |
| Status CLWinogradConvolutionLayer::validate(const ITensorInfo *input, |
| const ITensorInfo *weights, |
| const ITensorInfo *biases, |
| const ITensorInfo *output, |
| const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info, |
| bool enable_fast_math) |
| { |
| return opencl::ClWinogradConv2d::validate(input, weights, biases, output, conv_info, act_info, enable_fast_math); |
| } |
| |
| void CLWinogradConvolutionLayer::run() |
| { |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| prepare(); |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void CLWinogradConvolutionLayer::prepare() |
| { |
| if (!_impl->is_prepared) |
| { |
| _impl->op->prepare(_impl->run_pack); |
| |
| // Release Preparation tensors |
| release_prepare_tensors(_impl->workspace_tensors, _impl->run_pack); |
| _impl->run_pack.remove_tensor(TensorType::ACL_SRC_1); |
| _impl->is_prepared = true; |
| } |
| } |
| } // namespace arm_compute |