| /* |
| * Copyright (c) 2017-2019 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/GLES_COMPUTE/functions/GCNormalizationLayer.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h" |
| |
| using namespace arm_compute; |
| |
| GCNormalizationLayer::GCNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _squared_input(), _norm_kernel(), _multiply_kernel(), _border_handler() |
| { |
| } |
| |
| void GCNormalizationLayer::configure(const IGCTensor *input, IGCTensor *output, const NormalizationLayerInfo &norm_info) |
| { |
| ARM_COMPUTE_ERROR_ON(input == nullptr); |
| |
| _squared_input.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, input->info()->data_type())); |
| _memory_group.manage(&_squared_input); |
| |
| _norm_kernel.configure(input, &_squared_input, output, norm_info); |
| _multiply_kernel.configure(input, input, &_squared_input, 1.0f); |
| // Fill the border by 3 elements since we need vload4 in the IN_MAP normalization kernel |
| _border_handler.configure(&_squared_input, _norm_kernel.border_size(), BorderMode::CONSTANT, PixelValue()); |
| |
| // Allocate intermediate buffers |
| _squared_input.allocator()->allocate(); |
| } |
| |
| void GCNormalizationLayer::run() |
| { |
| _memory_group.acquire(); |
| |
| GCScheduler::get().dispatch(_multiply_kernel, false); |
| GCScheduler::get().memory_barrier(); |
| GCScheduler::get().dispatch(_border_handler, false); |
| GCScheduler::get().memory_barrier(); |
| GCScheduler::get().dispatch(_norm_kernel, true); |
| |
| _memory_group.release(); |
| } |