| /* |
| * 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<opencl::ClRsqrt> op{ nullptr }; |
| }; |
| |
| CLRsqrtLayer::CLRsqrtLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClRsqrt>(); |
| _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<opencl::ClExp> op{ nullptr }; |
| }; |
| |
| CLExpLayer::CLExpLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClExp>(); |
| _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<opencl::ClNeg> op{ nullptr }; |
| }; |
| |
| CLNegLayer::CLNegLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClNeg>(); |
| _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<opencl::ClSin> op{ nullptr }; |
| }; |
| |
| CLSinLayer::CLSinLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClSin>(); |
| _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<opencl::ClAbs> op{ nullptr }; |
| }; |
| |
| CLAbsLayer::CLAbsLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClAbs>(); |
| _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<opencl::ClLog> op{ nullptr }; |
| }; |
| |
| CLLogLayer::CLLogLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClLog>(); |
| _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<opencl::ClRound> op{ nullptr }; |
| }; |
| |
| CLRoundLayer::CLRoundLayer() |
| : _impl(std::make_unique<Impl>()) |
| { |
| } |
| |
| 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<opencl::ClRound>(); |
| _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 |