| /* |
| * Copyright (c) 2019-2020 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/NEPReluLayer.h" |
| |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/kernels/NEElementwiseOperationKernel.h" |
| #include "support/MemorySupport.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| void NEPRelu::configure(const ITensorInfo *input, const ITensorInfo *alpha, ITensorInfo *output) |
| { |
| auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>(); |
| k->configure(ArithmeticOperation::PRELU, input, alpha, output); |
| _kernel = std::move(k); |
| } |
| |
| Status NEPRelu::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output) |
| { |
| return NEArithmeticOperationKernel::validate(ArithmeticOperation::PRELU, input, alpha, output); |
| } |
| } // nsamespace experimental |
| |
| struct NEPReluLayer::Impl |
| { |
| const ITensor *src_0{ nullptr }; |
| const ITensor *src_1{ nullptr }; |
| ITensor *dst{ nullptr }; |
| std::unique_ptr<experimental::NEPRelu> op{ nullptr }; |
| }; |
| |
| NEPReluLayer::NEPReluLayer() |
| : _impl(support::cpp14::make_unique<Impl>()) |
| { |
| } |
| NEPReluLayer::NEPReluLayer(NEPReluLayer &&) = default; |
| NEPReluLayer &NEPReluLayer::operator=(NEPReluLayer &&) = default; |
| NEPReluLayer::~NEPReluLayer() = default; |
| |
| void NEPReluLayer::configure(const ITensor *input, const ITensor *alpha, ITensor *output) |
| { |
| _impl->src_0 = input; |
| _impl->src_1 = alpha; |
| _impl->dst = output; |
| _impl->op = arm_compute::support::cpp14::make_unique<experimental::NEPRelu>(); |
| _impl->op->configure(input->info(), alpha->info(), output->info()); |
| } |
| |
| void NEPReluLayer::run() |
| { |
| ITensorPack pack; |
| pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0); |
| pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1); |
| pack.add_tensor(TensorType::ACL_DST, _impl->dst); |
| _impl->op->run(pack); |
| } |
| |
| Status NEPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output) |
| { |
| return experimental::NEPRelu::validate(input, alpha, output); |
| } |
| } // namespace arm_compute |