| /* |
| * Copyright (c) 2017 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/graph/nodes/NormalizationLayer.h" |
| |
| #include "arm_compute/core/Logger.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "support/ToolchainSupport.h" |
| #include "utils/TypePrinter.h" |
| |
| using namespace arm_compute::graph; |
| |
| namespace |
| { |
| template <typename NormalizationType, typename TensorType, TargetHint target_hint> |
| std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) |
| { |
| auto norm = arm_compute::support::cpp14::make_unique<NormalizationType>(); |
| norm->configure( |
| dynamic_cast<TensorType *>(input), |
| dynamic_cast<TensorType *>(output), |
| norm_info); |
| |
| return std::move(norm); |
| } |
| |
| template <TargetHint target_hint> |
| std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info); |
| |
| template <> |
| std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) |
| { |
| return instantiate_function<arm_compute::CLNormalizationLayer, arm_compute::CLTensor, TargetHint::OPENCL>(input, output, norm_info); |
| } |
| |
| template <> |
| std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) |
| { |
| return instantiate_function<arm_compute::NENormalizationLayer, arm_compute::Tensor, TargetHint::NEON>(input, output, norm_info); |
| } |
| } // namespace |
| |
| NormalizationLayer::NormalizationLayer(const NormalizationLayerInfo norm_info) |
| : _norm_info(norm_info) |
| { |
| } |
| |
| std::unique_ptr<arm_compute::IFunction> NormalizationLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) |
| { |
| std::unique_ptr<arm_compute::IFunction> func; |
| _target_hint = ctx.hints().target_hint(); |
| |
| if(_target_hint == TargetHint::OPENCL) |
| { |
| func = instantiate<TargetHint::OPENCL>(input, output, _norm_info); |
| ARM_COMPUTE_LOG("Instantiating CLNormalizationLayer"); |
| } |
| else |
| { |
| func = instantiate<TargetHint::NEON>(input, output, _norm_info); |
| ARM_COMPUTE_LOG("Instantiating NENormalizationLayer"); |
| } |
| |
| ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type() |
| << " Input shape: " << input->info()->tensor_shape() |
| << " Output shape: " << output->info()->tensor_shape() |
| << " Normalization info: " << _norm_info |
| << std::endl); |
| |
| return func; |
| } |