David Svantesson | 3b162e5 | 2023-03-28 14:13:32 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2023 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 | */ |
David Svantesson | cd8b40d | 2023-05-02 13:05:36 +0000 | [diff] [blame] | 24 | #if defined(__aarch64__) |
David Svantesson | 3b162e5 | 2023-03-28 14:13:32 +0000 | [diff] [blame] | 25 | |
| 26 | #include "src/core/NEON/kernels/NEReorderKernel.h" |
| 27 | #include "src/common/utils/Log.h" |
| 28 | #include "src/core/NEON/kernels/arm_gemm/transform.hpp" |
| 29 | #include "arm_compute/core/Helpers.h" |
| 30 | #include "arm_compute/core/Validate.h" |
| 31 | |
| 32 | namespace arm_compute |
| 33 | { |
| 34 | |
| 35 | void NEReorderKernel::run(const Window &window, const ThreadInfo &info) |
| 36 | { |
| 37 | ARM_COMPUTE_UNUSED(info); |
| 38 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 39 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 40 | switch(_input->info()->data_type()) |
| 41 | { |
| 42 | case DataType::F32: |
| 43 | { |
| 44 | const int ksize_rows_elements = _xmax * _ksize; |
| 45 | const int jump_rows = ksize_rows_elements * window.x().start(); |
| 46 | const int k_start = window.x().start() * _ksize; |
| 47 | const int k_end = std::min(window.x().end() * _ksize, _kmax); |
| 48 | const int stride = _kmax; |
| 49 | if(k_start < k_end) |
| 50 | { |
| 51 | |
| 52 | switch(_output_wf) |
| 53 | { |
| 54 | case WeightFormat::OHWIo4: |
| 55 | { |
| 56 | arm_gemm::Transform<4, 1, true, arm_gemm::VLType::None>(reinterpret_cast<float *>(_output->buffer()) + jump_rows, reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax); |
| 57 | break; |
| 58 | } |
| 59 | #if defined(ARM_COMPUTE_ENABLE_SVE) |
| 60 | case WeightFormat::OHWIo8: |
| 61 | { |
| 62 | arm_gemm::Transform<1, 1, true, arm_gemm::VLType::SVE>(reinterpret_cast<float *>(_output->buffer()) + jump_rows, reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax); |
| 63 | break; |
| 64 | } |
| 65 | #endif /* ARM_COMPUTE_ENABLE_SVE */ |
| 66 | default: |
| 67 | { |
| 68 | ARM_COMPUTE_ERROR("Unsupported data type!"); |
| 69 | break; |
| 70 | } |
| 71 | } |
| 72 | } |
| 73 | break; |
| 74 | } |
| 75 | default: |
| 76 | ARM_COMPUTE_ERROR("Unsupported data type!"); |
| 77 | } |
| 78 | } |
| 79 | |
| 80 | NEReorderKernel::NEReorderKernel() |
| 81 | : _input(nullptr), _output(nullptr), _ksize(0), _kmax(0), _xmax(0), _input_wf(WeightFormat::ANY), _output_wf(WeightFormat::ANY) |
| 82 | { |
| 83 | } |
| 84 | |
| 85 | void NEReorderKernel::configure(const ITensor *input, ITensor *output, arm_compute::WeightFormat input_wf, arm_compute::WeightFormat output_wf) |
| 86 | { |
| 87 | ARM_COMPUTE_LOG_PARAMS(input, output, input_wf, output_wf); |
| 88 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 89 | ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), input_wf, output_wf)); |
| 90 | |
| 91 | // Set variables |
| 92 | _input = input; |
| 93 | _output = output; |
| 94 | _input_wf = input_wf; |
| 95 | _output_wf = output_wf; |
| 96 | |
| 97 | // Setting parameters for transform |
| 98 | auto dims = input->info()->num_dimensions(); |
| 99 | switch(dims) |
| 100 | { |
| 101 | case 2: |
| 102 | { |
| 103 | _xmax = input->info()->dimension(0); // Number of columns in input matrix |
| 104 | _kmax = input->info()->dimension(1); // Number of rows in input matrix |
| 105 | break; |
| 106 | } |
| 107 | case 4: |
| 108 | { |
| 109 | _xmax = input->info()->dimension(2); // Number of columns in input matrix |
| 110 | _kmax = input->info()->dimension(3); // Number of rows in input matrix |
| 111 | break; |
| 112 | } |
| 113 | default: |
| 114 | { |
| 115 | ARM_COMPUTE_ERROR("Only 2 or 4 dimensions supported."); |
| 116 | } |
| 117 | } |
| 118 | |
| 119 | // Configure kernel window |
| 120 | // Window size is set by rows / _ksize |
| 121 | Window win; |
| 122 | int window_size = 0; |
| 123 | switch(_output_wf) |
| 124 | { |
| 125 | #if defined(ARM_COMPUTE_ENABLE_SVE) |
| 126 | case WeightFormat::OHWIo8: |
| 127 | { |
| 128 | _ksize = 8; |
| 129 | window_size = _kmax / _ksize; |
| 130 | break; |
| 131 | } |
| 132 | #endif /* ARM_COMPUTE_ENABLE_SVE */ |
| 133 | case WeightFormat::OHWIo4: |
| 134 | { |
| 135 | _ksize = 4; |
| 136 | window_size = _kmax / _ksize; |
| 137 | break; |
| 138 | } |
| 139 | default: |
| 140 | { |
| 141 | ARM_COMPUTE_ERROR("Unsupported weight format."); |
| 142 | break; |
| 143 | } |
| 144 | } |
| 145 | if(_kmax % _ksize != 0) |
| 146 | { |
| 147 | window_size += 1; |
| 148 | } |
| 149 | |
| 150 | win.set(Window::DimX, Window::Dimension(0, window_size, 1)); |
| 151 | |
| 152 | INEKernel::configure(win); |
| 153 | } |
| 154 | |
| 155 | Status NEReorderKernel::validate(const ITensorInfo *input, const ITensorInfo *output, arm_compute::WeightFormat input_wf, arm_compute::WeightFormat output_wf) |
| 156 | { |
| 157 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| 158 | ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| 159 | if(output->tensor_shape().total_size() != 0) |
| 160 | { |
| 161 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 162 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| 163 | // Only input WeightFormat OHWI supported |
| 164 | ARM_COMPUTE_RETURN_ERROR_ON(input_wf != arm_compute::WeightFormat::OHWI); |
| 165 | int input_x_dim; |
| 166 | int input_k_dim; |
| 167 | int output_x_dim; |
| 168 | int output_k_dim; |
| 169 | auto dims = output->num_dimensions(); |
| 170 | switch(dims) |
| 171 | { |
| 172 | case 2: |
| 173 | { |
| 174 | input_x_dim = input->dimension(0); // Number of columns in input matrix |
| 175 | input_k_dim = input->dimension(1); // Number of rows in input matrix |
| 176 | output_x_dim = output->dimension(0); // Number of columns in output matrix |
| 177 | output_k_dim = output->dimension(1); // Number of rows in output matrix |
| 178 | break; |
| 179 | } |
| 180 | case 4: |
| 181 | { |
| 182 | input_x_dim = input->dimension(2); // Number of columns in input matrix |
| 183 | input_k_dim = input->dimension(3); // Number of rows in input matrix |
| 184 | output_x_dim = output->dimension(2); // Number of columns in output matrix |
| 185 | output_k_dim = output->dimension(3); // Number of rows in output matrix |
| 186 | break; |
| 187 | } |
| 188 | default: |
| 189 | { |
| 190 | ARM_COMPUTE_RETURN_ERROR_MSG("Only 2 or 4 dimensions supported."); |
| 191 | } |
| 192 | } |
| 193 | |
| 194 | int ksize; |
| 195 | switch(output_wf) |
| 196 | { |
| 197 | case WeightFormat::OHWIo8: |
| 198 | { |
| 199 | ksize = 8; |
| 200 | break; |
| 201 | } |
| 202 | case WeightFormat::OHWIo4: |
| 203 | { |
| 204 | ksize = 4; |
| 205 | break; |
| 206 | } |
| 207 | default: |
| 208 | { |
| 209 | ARM_COMPUTE_RETURN_ERROR_MSG("Unsupported weight format."); |
| 210 | break; |
| 211 | } |
| 212 | } |
| 213 | |
| 214 | // output k_dim needs to be same as input but multiple of ksize |
| 215 | int32_t rnd_up_input_kdim = arm_compute::ceil_to_multiple<int32_t, int32_t>(input_k_dim, ksize); |
| 216 | ARM_COMPUTE_RETURN_ERROR_ON(rnd_up_input_kdim != output_k_dim); |
| 217 | // output x_dim needs to be same as input |
| 218 | ARM_COMPUTE_RETURN_ERROR_ON(input_x_dim != output_x_dim); |
| 219 | |
| 220 | } |
| 221 | return Status{}; |
| 222 | } |
| 223 | |
| 224 | } // namespace arm_compute |
David Svantesson | cd8b40d | 2023-05-02 13:05:36 +0000 | [diff] [blame] | 225 | |
| 226 | #endif // defined(__aarch64__) |