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Diffstat (limited to 'src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp | 199 |
1 files changed, 0 insertions, 199 deletions
diff --git a/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp b/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp deleted file mode 100644 index ba93c37ba1..0000000000 --- a/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp +++ /dev/null @@ -1,199 +0,0 @@ -/* - * Copyright (c) 2018-2020 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/core/NEON/kernels/NEElementwiseUnaryKernel.h" - -#include "arm_compute/core/CPP/Validate.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/wrapper/wrapper.h" -#include "arm_compute/core/Validate.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -namespace -{ -template <typename ScalarType> -inline ScalarType elementwise_op_scalar_imp(ElementWiseUnary op, const ScalarType &a) -{ - switch(op) - { - case ElementWiseUnary::RSQRT: - return 1 / sqrt(a); - case ElementWiseUnary::EXP: - return std::exp(a); - case ElementWiseUnary::NEG: - return -a; - case ElementWiseUnary::LOG: - return std::log(a); - case ElementWiseUnary::ABS: - return std::abs(a); - case ElementWiseUnary::ROUND: - return support::cpp11::nearbyint(a); - case ElementWiseUnary::SIN: - return std::sin(a); - default: - ARM_COMPUTE_ERROR("NOT_SUPPORTED!"); - } -} - -template <typename ScalarType, typename VectorType> -inline VectorType elementwise_op_imp(ElementWiseUnary op, const VectorType &a) -{ - switch(op) - { - case ElementWiseUnary::RSQRT: - return wrapper::vinvsqrt(a); - case ElementWiseUnary::EXP: - return wrapper::vexpq(a); - case ElementWiseUnary::NEG: - return wrapper::vneg(a); - case ElementWiseUnary::LOG: - return wrapper::vlog(a); - case ElementWiseUnary::ABS: - return wrapper::vabs(a); - case ElementWiseUnary::ROUND: - return wrapper::vround(a); - case ElementWiseUnary::SIN: - return wrapper::vsin(a); - default: - ARM_COMPUTE_ERROR("NOT_SUPPORTED!"); - } -} -} // namespace - -template <typename ScalarType> -void NEElementwiseUnaryKernel::elementwise_op(const Window &window) -{ - const int window_step_x = 16 / sizeof(ScalarType); - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - Window win = window; - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - Iterator input(_input, win); - Iterator output(_output, win); - - execute_window_loop(win, [&](const Coordinates &) - { - auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); - const auto input_ptr = reinterpret_cast<const ScalarType *>(input.ptr()); - - int x = window_start_x; - for(; x <= window_end_x - window_step_x; x += window_step_x) - { - wrapper::vstore(output_ptr + x, elementwise_op_imp<ScalarType>(_op, wrapper::vloadq(input_ptr + x))); - } - for(; x < window_end_x; ++x) - { - *(output_ptr + x) = elementwise_op_scalar_imp(_op, *(input_ptr + x)); - } - }, - input, output); -} - -NEElementwiseUnaryKernel::NEElementwiseUnaryKernel() - : _func(nullptr), _input(nullptr), _output(nullptr), _op() -{ -} - -void NEElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensor *input, ITensor *output) -{ - ARM_COMPUTE_ERROR_THROW_ON(validate(op, input->info(), output->info())); - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Configure kernel window - const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*input->info()); - const TensorShape &out_shape = broadcast_pair.first; - const ValidRegion &valid_region = broadcast_pair.second; - - // Auto initialize output if not initialized - auto_init_if_empty(*output->info(), out_shape, 1, input->info()->data_type()); - - Window win = calculate_max_window(valid_region); - - _input = input; - _output = output; - _op = op; - - INEKernel::configure(win); - - switch(input->info()->data_type()) - { - case DataType::F32: - _func = &NEElementwiseUnaryKernel::elementwise_op<float>; - break; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - _func = &NEElementwiseUnaryKernel::elementwise_op<float16_t>; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - break; - case DataType::S32: - _func = &NEElementwiseUnaryKernel::elementwise_op<int32_t>; - break; - default: - ARM_COMPUTE_ERROR("DataType not supported"); - } -} - -Status NEElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo *input, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - switch(op) - { - case ElementWiseUnary::EXP: - case ElementWiseUnary::RSQRT: - case ElementWiseUnary::LOG: - case ElementWiseUnary::ROUND: - case ElementWiseUnary::SIN: - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); - break; - case ElementWiseUnary::NEG: - case ElementWiseUnary::ABS: - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32, DataType::S32); - break; - default: - ARM_COMPUTE_ERROR("ElementWiseUnary operation not supported"); - } - // Validate in case of configured output - if(output->total_size() > 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} - -void NEElementwiseUnaryKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - (this->*_func)(window); -} -} // namespace arm_compute |