diff options
Diffstat (limited to 'src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp | 321 |
1 files changed, 321 insertions, 0 deletions
diff --git a/src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp b/src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp new file mode 100644 index 0000000000..a45dd6f9a6 --- /dev/null +++ b/src/runtime/CL/functions/CLElementwiseUnaryLayer.cpp @@ -0,0 +1,321 @@ +/* + * 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 |