| /* |
| * Copyright (c) 2017 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/NEReductionOperationKernel.h" |
| |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "arm_compute/core/NEON/NEMath.h" |
| #include "arm_compute/core/Validate.h" |
| |
| #include <arm_neon.h> |
| |
| using namespace arm_compute; |
| |
| namespace |
| { |
| template <class F> |
| class Reducer |
| { |
| public: |
| static void reduceX(const Window &window, const ITensor *input, ITensor *output, F f) |
| { |
| // Set out window |
| Window out_window(window); |
| out_window.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| |
| // Get first input and output slices |
| Window in_slice = window.first_slice_window_1D(); |
| Window out_slice = out_window.first_slice_window_1D(); |
| |
| do |
| { |
| Iterator in(input, in_slice); |
| Iterator out(output, out_slice); |
| |
| f(in, out, in_slice, out_slice); |
| } |
| while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(out_slice)); |
| } |
| }; |
| |
| struct SumsqOpX |
| { |
| inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice) |
| { |
| ARM_COMPUTE_UNUSED(out_slice); |
| float32x4_t vec_sum_value = vdupq_n_f32(0.f); |
| |
| execute_window_loop(in_slice, [&](const Coordinates & id) |
| { |
| const auto in_ptr = reinterpret_cast<const float *>(input.ptr()); |
| const float32x4_t vec_elements = vld1q_f32(in_ptr); |
| vec_sum_value = vaddq_f32(vmulq_f32(vec_elements, vec_elements), vec_sum_value); |
| }, |
| input); |
| |
| float32x2_t carry_addition = vpadd_f32(vget_high_f32(vec_sum_value), vget_low_f32(vec_sum_value)); |
| carry_addition = vpadd_f32(carry_addition, carry_addition); |
| |
| *(reinterpret_cast<float *>(output.ptr())) = vget_lane_f32(carry_addition, 0); |
| } |
| }; |
| |
| void reduce_sumsq(const Window &window, const ITensor *input, ITensor *output, unsigned int axis) |
| { |
| switch(axis) |
| { |
| case 0: |
| return Reducer<SumsqOpX>::reduceX(window, input, output, SumsqOpX()); |
| default: |
| ARM_COMPUTE_ERROR("Unsupported reduction axis"); |
| } |
| } |
| } // namespace |
| |
| NEReductionOperationKernel::NEReductionOperationKernel() |
| : _input(nullptr), _output(nullptr), _reduction_axis(0), _op(ReductionOperation::SUM_SQUARE), _border_size() |
| { |
| } |
| |
| BorderSize NEReductionOperationKernel::border_size() const |
| { |
| return _border_size; |
| } |
| |
| void NEReductionOperationKernel::configure(const ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions"); |
| ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported reduction axis, Supported axis is 0"); |
| |
| // Calculate output shape and set if empty |
| TensorShape output_shape{ input->info()->tensor_shape() }; |
| output_shape.set(axis, 1); |
| |
| // Output auto initialization if not yet initialized |
| auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); |
| |
| unsigned int num_elems_processed_per_iteration = 16 / data_size_from_type(input->info()->data_type()); |
| |
| _input = input; |
| _output = output; |
| _border_size = (axis == 0) ? BorderSize(0, num_elems_processed_per_iteration - (input->info()->dimension(0) % num_elems_processed_per_iteration), 0, 0) : BorderSize(); |
| _op = op; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); |
| AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| |
| update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| INEKernel::configure(win); |
| } |
| |
| void NEReductionOperationKernel::run(const Window &window) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| switch(_op) |
| { |
| case ReductionOperation::SUM_SQUARE: |
| reduce_sumsq(window, _input, _output, _reduction_axis); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported reduction operation."); |
| } |
| } |