| /* |
| * Copyright (c) 2018-2019 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/IAccessWindow.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/NEAsymm.h" |
| #include "arm_compute/core/NEON/NEFixedPoint.h" |
| #include "arm_compute/core/NEON/NEMath.h" |
| #include "arm_compute/core/NEON/wrapper/wrapper.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include <algorithm> |
| #include <arm_neon.h> |
| #include <cstdint> |
| #include <map> |
| #include <string> |
| |
| namespace arm_compute |
| { |
| class Coordinates; |
| |
| namespace |
| { |
| template <ElementWiseUnary op, typename ScalarType> |
| inline ScalarType elementwise_op_scalar(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!"); |
| } |
| } |
| |
| /* Elementwise operations that are supported for float */ |
| template <ElementWiseUnary op, typename ScalarType, bool is_float, typename VectorType, typename std::enable_if<is_float, int>::type = 0> |
| inline VectorType elementwise_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!"); |
| } |
| } |
| |
| /* Elementwise operations that are supported for non floats */ |
| template < ElementWiseUnary op, typename ScalarType, bool is_float, typename VectorType, typename std::enable_if < !is_float, int >::type = 0 > |
| inline VectorType elementwise_op(const VectorType &a) |
| { |
| switch(op) |
| { |
| case ElementWiseUnary::NEG: |
| return wrapper::vneg(a); |
| case ElementWiseUnary::ABS: |
| return wrapper::vabs(a); |
| default: |
| ARM_COMPUTE_ERROR("NOT_SUPPORTED!"); |
| } |
| } |
| |
| template <ElementWiseUnary op, typename ScalarType, bool is_float> |
| void elementwise_op(const ITensor *in, ITensor *out, 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(in, win); |
| Iterator output(out, 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<op, ScalarType, is_float>(wrapper::vloadq(input_ptr + x))); |
| } |
| for(; x < window_end_x; ++x) |
| { |
| *(output_ptr + x) = elementwise_op_scalar<op>(*(input_ptr + x)); |
| } |
| }, |
| input, output); |
| } |
| |
| template <ElementWiseUnary op> |
| std::function<void(const ITensor *input, ITensor *output, const Window &window)> |
| configure_func(const ITensor *input, ITensor *output) |
| { |
| std::string function_to_call("op_"); |
| function_to_call += string_from_data_type(input->info()->data_type()) + "_"; |
| function_to_call += string_from_data_type(output->info()->data_type()); |
| |
| static std::map<std::string, NEElementwiseUnaryKernel::ElementwiseUnaryFunction *> map_function = |
| { |
| { "op_F32_F32", &elementwise_op<op, float, true> }, |
| { "op_S32_S32", &elementwise_op<op, int32_t, false> }, |
| }; |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| map_function["op_F16_F16"] = &elementwise_op<op, float16_t, true>; |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| auto it = map_function.find(function_to_call); |
| |
| if(it != map_function.end()) |
| { |
| auto func = it->second; |
| return [func](const ITensor * input, ITensor * output, const Window & window) |
| { |
| func(input, output, window); |
| }; |
| } |
| return nullptr; |
| } |
| } // namespace |
| |
| NEElementwiseUnaryKernel::NEElementwiseUnaryKernel() |
| : _function(nullptr), _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void NEElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensor *input, ITensor *output) |
| { |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(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; |
| |
| INEKernel::configure(win); |
| |
| switch(op) |
| { |
| case ElementWiseUnary::RSQRT: |
| _function = configure_func<ElementWiseUnary::RSQRT>(input, output); |
| break; |
| case ElementWiseUnary::EXP: |
| _function = configure_func<ElementWiseUnary::EXP>(input, output); |
| break; |
| case ElementWiseUnary::NEG: |
| _function = configure_func<ElementWiseUnary::NEG>(input, output); |
| break; |
| case ElementWiseUnary::LOG: |
| _function = configure_func<ElementWiseUnary::LOG>(input, output); |
| break; |
| case ElementWiseUnary::ABS: |
| _function = configure_func<ElementWiseUnary::ABS>(input, output); |
| break; |
| case ElementWiseUnary::ROUND: |
| _function = configure_func<ElementWiseUnary::ROUND>(input, output); |
| break; |
| case ElementWiseUnary::SIN: |
| _function = configure_func<ElementWiseUnary::SIN>(input, output); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("NOT_SUPPORTED!"); |
| } |
| } |
| |
| Status NEElementwiseUnaryKernel::validate_arguments(ElementWiseUnary op, const ITensorInfo &input, const ITensorInfo &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{}; |
| } |
| |
| Status NEElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(op, *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(_function == nullptr); |
| _function(_input, _output, window); |
| } |
| } // namespace arm_compute |