From ee301b384f4aeb697a5c249b8bb848d784146582 Mon Sep 17 00:00:00 2001 From: Jakub Sujak Date: Fri, 4 Jun 2021 09:46:08 +0100 Subject: Fix errata in documentation This patch addresses the following errata found in the project documentation: * Common typos. * Missing use of trademarks. * Incomplete operator descriptions. * Examples of code that have since been removed from the library. * Plus clarification over the usage of `All` category for data types and layouts. In addition, the Operator list was not generated properly due to: * Non-matching cases in the filenames (i.e. `Elementwise` and `ElementWise`). For consistency, all usages of the latter have been renamed to the former. * Extra data layout tables in the headers for the `NESlice` and `NEStridedSlice` functions (note: not present in CL counterpart) meant documentation for those functions was generated twice. Resolves: COMPMID-4561, COMPMID-4562, COMPMID-4563 Change-Id: I1eb24559545397749e636ffbf927727fb1bc6201 Signed-off-by: Jakub Sujak Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5769 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: Sheri Zhang Reviewed-by: SiCong Li --- .../CL/functions/CLElementWiseUnaryLayer.cpp | 321 --------------------- 1 file changed, 321 deletions(-) delete mode 100644 src/runtime/CL/functions/CLElementWiseUnaryLayer.cpp (limited to 'src/runtime/CL/functions/CLElementWiseUnaryLayer.cpp') diff --git a/src/runtime/CL/functions/CLElementWiseUnaryLayer.cpp b/src/runtime/CL/functions/CLElementWiseUnaryLayer.cpp deleted file mode 100644 index dbf2121bfd..0000000000 --- a/src/runtime/CL/functions/CLElementWiseUnaryLayer.cpp +++ /dev/null @@ -1,321 +0,0 @@ -/* - * 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 -- cgit v1.2.1