| /* |
| * 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/ActivationLayer.h" |
| |
| #include "arm_compute/core/Logger.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "support/ToolchainSupport.h" |
| #include "utils/TypePrinter.h" |
| |
| using namespace arm_compute::graph; |
| |
| namespace |
| { |
| template <typename ActivationType, typename TensorType, TargetHint target_hint> |
| std::unique_ptr<arm_compute::IFunction> instantiate_function(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) |
| { |
| auto activation = arm_compute::support::cpp14::make_unique<ActivationType>(); |
| activation->configure( |
| dynamic_cast<TensorType *>(input), |
| dynamic_cast<TensorType *>(output), |
| activation_info); |
| |
| return std::move(activation); |
| } |
| |
| template <TargetHint target_hint> |
| std::unique_ptr<arm_compute::IFunction> instantiate(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info); |
| |
| template <> |
| std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) |
| { |
| return instantiate_function<arm_compute::CLActivationLayer, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output, activation_info); |
| } |
| |
| template <> |
| std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) |
| { |
| return instantiate_function<arm_compute::NEActivationLayer, arm_compute::ITensor, TargetHint::NEON>(input, output, activation_info); |
| } |
| } // namespace |
| |
| ActivationLayer::ActivationLayer(const ActivationLayerInfo activation_info) |
| : _activation_info(activation_info) |
| { |
| } |
| |
| std::unique_ptr<arm_compute::IFunction> ActivationLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) |
| { |
| ARM_COMPUTE_ERROR_ON(input == nullptr || input->tensor() == nullptr); |
| ARM_COMPUTE_ERROR_ON(output == nullptr || output->tensor() == nullptr); |
| |
| std::unique_ptr<arm_compute::IFunction> func; |
| _target_hint = ctx.hints().target_hint(); |
| |
| arm_compute::ITensor *in = input->tensor(); |
| arm_compute::ITensor *out = output->tensor(); |
| |
| if(_target_hint == TargetHint::OPENCL) |
| { |
| func = instantiate<TargetHint::OPENCL>(in, out, _activation_info); |
| } |
| else |
| { |
| func = instantiate<TargetHint::NEON>(in, out, _activation_info); |
| } |
| |
| ARM_COMPUTE_LOG(" Data Type: " << in->info()->data_type() |
| << " Input shape: " << in->info()->tensor_shape() |
| << " Output shape: " << out->info()->tensor_shape() |
| << " Activation function: " << _activation_info.activation() |
| << " a: " << _activation_info.a() |
| << " b: " << _activation_info.b() |
| << std::endl); |
| return func; |
| } |