Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/NEON/kernels/NEL2NormalizeKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/Error.h" |
| 27 | #include "arm_compute/core/Helpers.h" |
| 28 | #include "arm_compute/core/ITensor.h" |
| 29 | #include "arm_compute/core/NEON/NEMath.h" |
| 30 | #include "arm_compute/core/TensorInfo.h" |
| 31 | #include "arm_compute/core/Utils.h" |
| 32 | #include "arm_compute/core/Validate.h" |
| 33 | #include "arm_compute/core/Window.h" |
| 34 | |
| 35 | #include <arm_neon.h> |
| 36 | #include <cmath> |
| 37 | |
| 38 | using namespace arm_compute; |
| 39 | |
| 40 | namespace |
| 41 | { |
| 42 | void l2_normalize_X(const ITensor *in, const ITensor *sum, ITensor *out, float epsilon, const Window &window) |
| 43 | { |
| 44 | Window window_sum(window); |
| 45 | window_sum.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| 46 | |
| 47 | Window in_slice = window.first_slice_window_1D(); |
| 48 | Window sum_slice = window_sum.first_slice_window_1D(); |
| 49 | |
| 50 | do |
| 51 | { |
| 52 | Iterator input_it(in, in_slice); |
| 53 | Iterator sum_it(sum, sum_slice); |
| 54 | Iterator output_it(out, in_slice); |
| 55 | |
| 56 | const float sum_value = *reinterpret_cast<const float *>(sum_it.ptr()); |
| 57 | const float32x4_t vec_normalize_value = vdupq_n_f32(1.f / std::sqrt(std::max(sum_value, epsilon))); |
| 58 | |
| 59 | execute_window_loop(in_slice, [&](const Coordinates & id) |
| 60 | { |
| 61 | const auto in_ptr = reinterpret_cast<const float *>(input_it.ptr()); |
| 62 | const auto out_ptr = reinterpret_cast<float *>(output_it.ptr()); |
| 63 | |
| 64 | vst1q_f32(out_ptr, vmulq_f32(vld1q_f32(in_ptr), vec_normalize_value)); |
| 65 | }, |
| 66 | input_it, output_it); |
| 67 | } |
| 68 | while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(sum_slice)); |
| 69 | } |
| 70 | } // namespace |
| 71 | |
| 72 | NEL2NormalizeKernel::NEL2NormalizeKernel() |
| 73 | : _input(nullptr), _sum(nullptr), _output(nullptr), _axis(0), _epsilon(1e-12) |
| 74 | { |
| 75 | } |
| 76 | |
| 77 | void NEL2NormalizeKernel::configure(const ITensor *input, const ITensor *sum, ITensor *output, unsigned int axis, float epsilon) |
| 78 | { |
| 79 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, sum, output); |
| 80 | ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Normalization axis greater than max number of dimensions"); |
| 81 | ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported normalization axis, Supported axis is 0"); |
| 82 | |
| 83 | // Output auto initialization if not yet initialized |
| 84 | auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| 85 | |
| 86 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
| 87 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, sum); |
| 88 | ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| 89 | |
| 90 | unsigned int num_elems_processed_per_iteration = 16 / data_size_from_type(input->info()->data_type()); |
| 91 | unsigned int num_elems_processed_per_iteration_sum = (axis == 0) ? 1 : num_elems_processed_per_iteration; |
| 92 | |
| 93 | _input = input; |
| 94 | _sum = sum; |
| 95 | _output = output; |
| 96 | _axis = axis; |
| 97 | _epsilon = epsilon; |
| 98 | |
| 99 | // Configure kernel window |
| 100 | Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); |
| 101 | AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); |
| 102 | AccessWindowHorizontal sum_access(sum->info(), 0, num_elems_processed_per_iteration_sum); |
| 103 | AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| 104 | |
| 105 | update_window_and_padding(win, input_access, sum_access, output_access); |
| 106 | |
| 107 | output_access.set_valid_region(win, input->info()->valid_region()); |
| 108 | |
| 109 | INEKernel::configure(win); |
| 110 | } |
| 111 | |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 112 | void NEL2NormalizeKernel::run(const Window &window, const ThreadInfo &info) |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 113 | { |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 114 | ARM_COMPUTE_UNUSED(info); |
Georgios Pinitas | d976958 | 2017-08-03 10:19:40 +0100 | [diff] [blame] | 115 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 116 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 117 | |
| 118 | switch(_axis) |
| 119 | { |
| 120 | case 0: |
| 121 | l2_normalize_X(_input, _sum, _output, _epsilon, window); |
| 122 | break; |
| 123 | default: |
| 124 | ARM_COMPUTE_ERROR("Unsupported normalization axis"); |
| 125 | } |
| 126 | } |