/* * Copyright (c) 2018-2021 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 "arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLTensor.h" #include "src/core/CL/ICLKernel.h" #include "src/runtime/gpu/cl/operators/ClElementwiseUnary.h" namespace arm_compute { struct CLRsqrtLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLRsqrtLayer::CLRsqrtLayer() : _impl(std::make_unique()) { } CLRsqrtLayer::CLRsqrtLayer(CLRsqrtLayer &&) = default; CLRsqrtLayer &CLRsqrtLayer::operator=(CLRsqrtLayer &&) = default; CLRsqrtLayer::~CLRsqrtLayer() = default; void CLRsqrtLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLRsqrtLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLRsqrtLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClRsqrt::validate(input, output); } void CLRsqrtLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLExpLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLExpLayer::CLExpLayer() : _impl(std::make_unique()) { } CLExpLayer::CLExpLayer(CLExpLayer &&) = default; CLExpLayer &CLExpLayer::operator=(CLExpLayer &&) = default; CLExpLayer::~CLExpLayer() = default; void CLExpLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLExpLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLExpLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClExp::validate(input, output); } void CLExpLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLNegLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLNegLayer::CLNegLayer() : _impl(std::make_unique()) { } CLNegLayer::CLNegLayer(CLNegLayer &&) = default; CLNegLayer &CLNegLayer::operator=(CLNegLayer &&) = default; CLNegLayer::~CLNegLayer() = default; void CLNegLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLNegLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLNegLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClNeg::validate(input, output); } void CLNegLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLSinLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLSinLayer::CLSinLayer() : _impl(std::make_unique()) { } CLSinLayer::CLSinLayer(CLSinLayer &&) = default; CLSinLayer &CLSinLayer::operator=(CLSinLayer &&) = default; CLSinLayer::~CLSinLayer() = default; void CLSinLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLSinLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLSinLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClSin::validate(input, output); } void CLSinLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLAbsLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLAbsLayer::CLAbsLayer() : _impl(std::make_unique()) { } CLAbsLayer::CLAbsLayer(CLAbsLayer &&) = default; CLAbsLayer &CLAbsLayer::operator=(CLAbsLayer &&) = default; CLAbsLayer::~CLAbsLayer() = default; void CLAbsLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLAbsLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLAbsLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClAbs::validate(input, output); } void CLAbsLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLLogLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLLogLayer::CLLogLayer() : _impl(std::make_unique()) { } CLLogLayer::CLLogLayer(CLLogLayer &&) = default; CLLogLayer &CLLogLayer::operator=(CLLogLayer &&) = default; CLLogLayer::~CLLogLayer() = default; void CLLogLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLLogLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLLogLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClLog::validate(input, output); } void CLLogLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } struct CLRoundLayer::Impl { const ICLTensor *src{ nullptr }; ICLTensor *dst{ nullptr }; std::unique_ptr op{ nullptr }; }; CLRoundLayer::CLRoundLayer() : _impl(std::make_unique()) { } CLRoundLayer::CLRoundLayer(CLRoundLayer &&) = default; CLRoundLayer &CLRoundLayer::operator=(CLRoundLayer &&) = default; CLRoundLayer::~CLRoundLayer() = default; void CLRoundLayer::configure(const ICLTensor *input, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, output); } void CLRoundLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) { _impl->src = input; _impl->dst = output; _impl->op = std::make_unique(); _impl->op->configure(compile_context, input->info(), output->info()); } Status CLRoundLayer::validate(const ITensorInfo *input, const ITensorInfo *output) { return opencl::ClRound::validate(input, output); } void CLRoundLayer::run() { ITensorPack pack; pack.add_tensor(TensorType::ACL_SRC, _impl->src); pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } } // namespace arm_compute