| /* |
| * Copyright (c) 2019-2021 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 "src/core/gpu/cl/kernels/ClElementwiseKernel.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| #include "arm_compute/runtime/CL/functions/CLPReluLayer.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| CLPReluLayer::CLPReluLayer() |
| { |
| } |
| |
| void CLPReluLayer::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *alpha, ITensorInfo *output) |
| { |
| auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>(); |
| k->configure(compile_context, ArithmeticOperation::PRELU, input, alpha, output); |
| _kernel = std::move(k); |
| } |
| |
| Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output) |
| { |
| return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::PRELU, input, alpha, output); |
| } |
| |
| void CLPReluLayer::run(ITensorPack &tensors) |
| { |
| ICLOperator::run(tensors); |
| } |
| } // namespace experimental |
| |
| struct CLPReluLayer::Impl |
| { |
| const ICLTensor *src_0{ nullptr }; |
| const ICLTensor *src_1{ nullptr }; |
| ICLTensor *dst{ nullptr }; |
| std::unique_ptr<experimental::CLPReluLayer> op{ nullptr }; |
| }; |
| |
| CLPReluLayer::CLPReluLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| CLPReluLayer::CLPReluLayer(CLPReluLayer &&) = default; |
| CLPReluLayer &CLPReluLayer::operator=(CLPReluLayer &&) = default; |
| CLPReluLayer::~CLPReluLayer() = default; |
| |
| void CLPReluLayer::configure(ICLTensor *input, ICLTensor *alpha, ICLTensor *output) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, alpha, output); |
| } |
| |
| void CLPReluLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *alpha, ICLTensor *output) |
| { |
| _impl->src_0 = input; |
| _impl->src_1 = alpha; |
| _impl->dst = output; |
| _impl->op = std::make_unique<experimental::CLPReluLayer>(); |
| _impl->op->configure(compile_context, input->info(), alpha->info(), output->info()); |
| } |
| |
| Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output) |
| { |
| return experimental::CLPReluLayer::validate(input, alpha, output); |
| } |
| |
| void CLPReluLayer::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); |
| } |
| } // namespace arm_compute |