Robert Lopez
Aded CMSIS5 DSP and NN folder. Needs some work
NN/include/arm_nnfunctions.h@0:eedb7d567a5d, 2018-04-12 (annotated)
- Committer:
- robert_lp
- Date:
- Thu Apr 12 01:31:58 2018 +0000
- Revision:
- 0:eedb7d567a5d
CMSIS5 Library
Who changed what in which revision?
| User | Revision | Line number | New contents of line |
|---|---|---|---|
| robert_lp | 0:eedb7d567a5d | 1 | /* |
| robert_lp | 0:eedb7d567a5d | 2 | * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved. |
| robert_lp | 0:eedb7d567a5d | 3 | * |
| robert_lp | 0:eedb7d567a5d | 4 | * SPDX-License-Identifier: Apache-2.0 |
| robert_lp | 0:eedb7d567a5d | 5 | * |
| robert_lp | 0:eedb7d567a5d | 6 | * Licensed under the Apache License, Version 2.0 (the License); you may |
| robert_lp | 0:eedb7d567a5d | 7 | * not use this file except in compliance with the License. |
| robert_lp | 0:eedb7d567a5d | 8 | * You may obtain a copy of the License at |
| robert_lp | 0:eedb7d567a5d | 9 | * |
| robert_lp | 0:eedb7d567a5d | 10 | * www.apache.org/licenses/LICENSE-2.0 |
| robert_lp | 0:eedb7d567a5d | 11 | * |
| robert_lp | 0:eedb7d567a5d | 12 | * Unless required by applicable law or agreed to in writing, software |
| robert_lp | 0:eedb7d567a5d | 13 | * distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| robert_lp | 0:eedb7d567a5d | 14 | * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| robert_lp | 0:eedb7d567a5d | 15 | * See the License for the specific language governing permissions and |
| robert_lp | 0:eedb7d567a5d | 16 | * limitations under the License. |
| robert_lp | 0:eedb7d567a5d | 17 | */ |
| robert_lp | 0:eedb7d567a5d | 18 | |
| robert_lp | 0:eedb7d567a5d | 19 | /* ---------------------------------------------------------------------- |
| robert_lp | 0:eedb7d567a5d | 20 | * Project: CMSIS NN Library |
| robert_lp | 0:eedb7d567a5d | 21 | * Title: arm_nnfunctions.h |
| robert_lp | 0:eedb7d567a5d | 22 | * Description: Public header file for CMSIS NN Library |
| robert_lp | 0:eedb7d567a5d | 23 | * |
| robert_lp | 0:eedb7d567a5d | 24 | * $Date: 17. January 2018 |
| robert_lp | 0:eedb7d567a5d | 25 | * $Revision: V.1.0.0 |
| robert_lp | 0:eedb7d567a5d | 26 | * |
| robert_lp | 0:eedb7d567a5d | 27 | * Target Processor: Cortex-M cores |
| robert_lp | 0:eedb7d567a5d | 28 | * -------------------------------------------------------------------- */ |
| robert_lp | 0:eedb7d567a5d | 29 | |
| robert_lp | 0:eedb7d567a5d | 30 | /** |
| robert_lp | 0:eedb7d567a5d | 31 | \mainpage CMSIS NN Software Library |
| robert_lp | 0:eedb7d567a5d | 32 | * |
| robert_lp | 0:eedb7d567a5d | 33 | * Introduction |
| robert_lp | 0:eedb7d567a5d | 34 | * ------------ |
| robert_lp | 0:eedb7d567a5d | 35 | * |
| robert_lp | 0:eedb7d567a5d | 36 | * This user manual describes the CMSIS NN software library, |
| robert_lp | 0:eedb7d567a5d | 37 | * a collection of efficient neural network kernels developed to maximize the |
| robert_lp | 0:eedb7d567a5d | 38 | * performance and minimize the memory footprint of neural networks on Cortex-M processor cores. |
| robert_lp | 0:eedb7d567a5d | 39 | * |
| robert_lp | 0:eedb7d567a5d | 40 | * The library is divided into a number of functions each covering a specific category: |
| robert_lp | 0:eedb7d567a5d | 41 | * - Neural Network Convolution Functions |
| robert_lp | 0:eedb7d567a5d | 42 | * - Neural Network Activation Functions |
| robert_lp | 0:eedb7d567a5d | 43 | * - Fully-connected Layer Functions |
| robert_lp | 0:eedb7d567a5d | 44 | * - Neural Network Pooling Functions |
| robert_lp | 0:eedb7d567a5d | 45 | * - Softmax Functions |
| robert_lp | 0:eedb7d567a5d | 46 | * - Neural Network Support Functions |
| robert_lp | 0:eedb7d567a5d | 47 | * |
| robert_lp | 0:eedb7d567a5d | 48 | * The library has separate functions for operating on different weight and activation data |
| robert_lp | 0:eedb7d567a5d | 49 | * types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the |
| robert_lp | 0:eedb7d567a5d | 50 | * kernels are included in the function description. The implementation details are also |
| robert_lp | 0:eedb7d567a5d | 51 | * described in this paper [1]. |
| robert_lp | 0:eedb7d567a5d | 52 | * |
| robert_lp | 0:eedb7d567a5d | 53 | * Block Diagram |
| robert_lp | 0:eedb7d567a5d | 54 | * -------- |
| robert_lp | 0:eedb7d567a5d | 55 | * \image html CMSIS-NN-OVERVIEW.PNG |
| robert_lp | 0:eedb7d567a5d | 56 | * |
| robert_lp | 0:eedb7d567a5d | 57 | * Examples |
| robert_lp | 0:eedb7d567a5d | 58 | * -------- |
| robert_lp | 0:eedb7d567a5d | 59 | * |
| robert_lp | 0:eedb7d567a5d | 60 | * The library ships with a number of examples which demonstrate how to use the library functions. |
| robert_lp | 0:eedb7d567a5d | 61 | * |
| robert_lp | 0:eedb7d567a5d | 62 | * Pre-processor Macros |
| robert_lp | 0:eedb7d567a5d | 63 | * ------------ |
| robert_lp | 0:eedb7d567a5d | 64 | * |
| robert_lp | 0:eedb7d567a5d | 65 | * Each library project have differant pre-processor macros. |
| robert_lp | 0:eedb7d567a5d | 66 | * |
| robert_lp | 0:eedb7d567a5d | 67 | * - ARM_MATH_DSP: |
| robert_lp | 0:eedb7d567a5d | 68 | * |
| robert_lp | 0:eedb7d567a5d | 69 | * Define macro ARM_MATH_DSP, If the silicon supports DSP instructions. |
| robert_lp | 0:eedb7d567a5d | 70 | * |
| robert_lp | 0:eedb7d567a5d | 71 | * - ARM_MATH_BIG_ENDIAN: |
| robert_lp | 0:eedb7d567a5d | 72 | * |
| robert_lp | 0:eedb7d567a5d | 73 | * Define macro ARM_MATH_BIG_ENDIAN to build the library for big endian targets. By default library builds for little endian targets. |
| robert_lp | 0:eedb7d567a5d | 74 | * |
| robert_lp | 0:eedb7d567a5d | 75 | * - ARM_NN_TRUNCATE: |
| robert_lp | 0:eedb7d567a5d | 76 | * |
| robert_lp | 0:eedb7d567a5d | 77 | * Define macro ARM_NN_TRUNCATE to use floor instead of round-to-the-nearest-int for the computation. |
| robert_lp | 0:eedb7d567a5d | 78 | * |
| robert_lp | 0:eedb7d567a5d | 79 | * Copyright Notice |
| robert_lp | 0:eedb7d567a5d | 80 | * ------------ |
| robert_lp | 0:eedb7d567a5d | 81 | * |
| robert_lp | 0:eedb7d567a5d | 82 | * Copyright (C) 2010-2018 Arm Limited. All rights reserved. |
| robert_lp | 0:eedb7d567a5d | 83 | * |
| robert_lp | 0:eedb7d567a5d | 84 | * [1] CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs https://arxiv.org/abs/1801.06601 |
| robert_lp | 0:eedb7d567a5d | 85 | */ |
| robert_lp | 0:eedb7d567a5d | 86 | |
| robert_lp | 0:eedb7d567a5d | 87 | /** |
| robert_lp | 0:eedb7d567a5d | 88 | * @defgroup groupNN Neural Network Functions |
| robert_lp | 0:eedb7d567a5d | 89 | * These functions perform basic operations for neural network layers. |
| robert_lp | 0:eedb7d567a5d | 90 | */ |
| robert_lp | 0:eedb7d567a5d | 91 | |
| robert_lp | 0:eedb7d567a5d | 92 | #ifndef _ARM_NNFUNCTIONS_H |
| robert_lp | 0:eedb7d567a5d | 93 | #define _ARM_NNFUNCTIONS_H |
| robert_lp | 0:eedb7d567a5d | 94 | |
| robert_lp | 0:eedb7d567a5d | 95 | #include "arm_nnsupportfunctions.h" |
| robert_lp | 0:eedb7d567a5d | 96 | #include "arm_nn_tables.h" |
| robert_lp | 0:eedb7d567a5d | 97 | |
| robert_lp | 0:eedb7d567a5d | 98 | #define USE_INTRINSIC |
| robert_lp | 0:eedb7d567a5d | 99 | |
| robert_lp | 0:eedb7d567a5d | 100 | //#define ARM_NN_TRUNCATE /* This config the rounding model to floor or round to the nearest int */ |
| robert_lp | 0:eedb7d567a5d | 101 | |
| robert_lp | 0:eedb7d567a5d | 102 | #ifdef __cplusplus |
| robert_lp | 0:eedb7d567a5d | 103 | extern "C" |
| robert_lp | 0:eedb7d567a5d | 104 | { |
| robert_lp | 0:eedb7d567a5d | 105 | #endif |
| robert_lp | 0:eedb7d567a5d | 106 | |
| robert_lp | 0:eedb7d567a5d | 107 | /** |
| robert_lp | 0:eedb7d567a5d | 108 | * @defgroup NNConv Neural Network Convolution Functions |
| robert_lp | 0:eedb7d567a5d | 109 | * |
| robert_lp | 0:eedb7d567a5d | 110 | * Perform convolution layer |
| robert_lp | 0:eedb7d567a5d | 111 | * |
| robert_lp | 0:eedb7d567a5d | 112 | * The convolution is implemented in 2 steps: im2col and GEMM |
| robert_lp | 0:eedb7d567a5d | 113 | * |
| robert_lp | 0:eedb7d567a5d | 114 | * im2col is a process of converting each patch of image data into |
| robert_lp | 0:eedb7d567a5d | 115 | * a column. After im2col, the convolution is computed as matrix-matrix |
| robert_lp | 0:eedb7d567a5d | 116 | * multiplication. |
| robert_lp | 0:eedb7d567a5d | 117 | * |
| robert_lp | 0:eedb7d567a5d | 118 | * To reduce the memory footprint, the im2col is performed partially. |
| robert_lp | 0:eedb7d567a5d | 119 | * Each iteration, only a few column (i.e., patches) are generated and |
| robert_lp | 0:eedb7d567a5d | 120 | * computed with GEMM kernels similar to CMSIS-DSP arm_mat_mult functions. |
| robert_lp | 0:eedb7d567a5d | 121 | * |
| robert_lp | 0:eedb7d567a5d | 122 | */ |
| robert_lp | 0:eedb7d567a5d | 123 | |
| robert_lp | 0:eedb7d567a5d | 124 | /** |
| robert_lp | 0:eedb7d567a5d | 125 | * @brief Basic Q7 convolution function |
| robert_lp | 0:eedb7d567a5d | 126 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 127 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 128 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 129 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 130 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 131 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 132 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 133 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 134 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 135 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 136 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 137 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 138 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 139 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 140 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 141 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 142 | * |
| robert_lp | 0:eedb7d567a5d | 143 | */ |
| robert_lp | 0:eedb7d567a5d | 144 | |
| robert_lp | 0:eedb7d567a5d | 145 | arm_status arm_convolve_HWC_q7_basic(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 146 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 147 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 148 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 149 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 150 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 151 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 152 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 153 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 154 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 155 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 156 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 157 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 158 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 159 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 160 | |
| robert_lp | 0:eedb7d567a5d | 161 | /** |
| robert_lp | 0:eedb7d567a5d | 162 | * @brief Basic Q15 convolution function |
| robert_lp | 0:eedb7d567a5d | 163 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 164 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 165 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 166 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 167 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 168 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 169 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 170 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 171 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 172 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 173 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 174 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 175 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 176 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 177 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 178 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 179 | * |
| robert_lp | 0:eedb7d567a5d | 180 | */ |
| robert_lp | 0:eedb7d567a5d | 181 | |
| robert_lp | 0:eedb7d567a5d | 182 | arm_status arm_convolve_HWC_q15_basic(const q15_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 183 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 184 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 185 | const q15_t * wt, |
| robert_lp | 0:eedb7d567a5d | 186 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 187 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 188 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 189 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 190 | const q15_t * bias, |
| robert_lp | 0:eedb7d567a5d | 191 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 192 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 193 | q15_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 194 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 195 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 196 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 197 | |
| robert_lp | 0:eedb7d567a5d | 198 | /** |
| robert_lp | 0:eedb7d567a5d | 199 | * @brief Fast Q7 convolution function |
| robert_lp | 0:eedb7d567a5d | 200 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 201 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 202 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 203 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 204 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 205 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 206 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 207 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 208 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 209 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 210 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 211 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 212 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 213 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 214 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 215 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 216 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 217 | * |
| robert_lp | 0:eedb7d567a5d | 218 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 219 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 220 | * ch_im_in is multiple of 4 |
| robert_lp | 0:eedb7d567a5d | 221 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 222 | */ |
| robert_lp | 0:eedb7d567a5d | 223 | |
| robert_lp | 0:eedb7d567a5d | 224 | arm_status arm_convolve_HWC_q7_fast(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 225 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 226 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 227 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 228 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 229 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 230 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 231 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 232 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 233 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 234 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 235 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 236 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 237 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 238 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 239 | |
| robert_lp | 0:eedb7d567a5d | 240 | /** |
| robert_lp | 0:eedb7d567a5d | 241 | * @brief Fast Q7 convolution function (non-sqaure shape) |
| robert_lp | 0:eedb7d567a5d | 242 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 243 | * @param[in] dim_im_in_x input tensor dimention x |
| robert_lp | 0:eedb7d567a5d | 244 | * @param[in] dim_im_in_y input tensor dimention y |
| robert_lp | 0:eedb7d567a5d | 245 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 246 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 247 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 248 | * @param[in] dim_kernel_x filter kernel size x |
| robert_lp | 0:eedb7d567a5d | 249 | * @param[in] dim_kernel_y filter kernel size y |
| robert_lp | 0:eedb7d567a5d | 250 | * @param[in] padding_x padding size x |
| robert_lp | 0:eedb7d567a5d | 251 | * @param[in] padding_y padding size y |
| robert_lp | 0:eedb7d567a5d | 252 | * @param[in] stride_x convolution stride x |
| robert_lp | 0:eedb7d567a5d | 253 | * @param[in] stride_y convolution stride y |
| robert_lp | 0:eedb7d567a5d | 254 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 255 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 256 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 257 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 258 | * @param[in] dim_im_out_x output tensor dimension x |
| robert_lp | 0:eedb7d567a5d | 259 | * @param[in] dim_im_out_y output tensor dimension y |
| robert_lp | 0:eedb7d567a5d | 260 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 261 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 262 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 263 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 264 | * |
| robert_lp | 0:eedb7d567a5d | 265 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 266 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 267 | * ch_im_in is multiple of 4 |
| robert_lp | 0:eedb7d567a5d | 268 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 269 | */ |
| robert_lp | 0:eedb7d567a5d | 270 | |
| robert_lp | 0:eedb7d567a5d | 271 | arm_status arm_convolve_HWC_q7_fast_nonsquare(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 272 | const uint16_t dim_im_in_x, |
| robert_lp | 0:eedb7d567a5d | 273 | const uint16_t dim_im_in_y, |
| robert_lp | 0:eedb7d567a5d | 274 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 275 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 276 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 277 | const uint16_t dim_kernel_x, |
| robert_lp | 0:eedb7d567a5d | 278 | const uint16_t dim_kernel_y, |
| robert_lp | 0:eedb7d567a5d | 279 | const uint16_t padding_x, |
| robert_lp | 0:eedb7d567a5d | 280 | const uint16_t padding_y, |
| robert_lp | 0:eedb7d567a5d | 281 | const uint16_t stride_x, |
| robert_lp | 0:eedb7d567a5d | 282 | const uint16_t stride_y, |
| robert_lp | 0:eedb7d567a5d | 283 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 284 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 285 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 286 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 287 | const uint16_t dim_im_out_x, |
| robert_lp | 0:eedb7d567a5d | 288 | const uint16_t dim_im_out_y, |
| robert_lp | 0:eedb7d567a5d | 289 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 290 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 291 | |
| robert_lp | 0:eedb7d567a5d | 292 | /** |
| robert_lp | 0:eedb7d567a5d | 293 | * @brief Fast Q7 version of 1x1 convolution (non-sqaure shape) |
| robert_lp | 0:eedb7d567a5d | 294 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 295 | * @param[in] dim_im_in_x input tensor dimention x |
| robert_lp | 0:eedb7d567a5d | 296 | * @param[in] dim_im_in_y input tensor dimention y |
| robert_lp | 0:eedb7d567a5d | 297 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 298 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 299 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 300 | * @param[in] dim_kernel_x filter kernel size x |
| robert_lp | 0:eedb7d567a5d | 301 | * @param[in] dim_kernel_y filter kernel size y |
| robert_lp | 0:eedb7d567a5d | 302 | * @param[in] padding_x padding size x |
| robert_lp | 0:eedb7d567a5d | 303 | * @param[in] padding_y padding size y |
| robert_lp | 0:eedb7d567a5d | 304 | * @param[in] stride_x convolution stride x |
| robert_lp | 0:eedb7d567a5d | 305 | * @param[in] stride_y convolution stride y |
| robert_lp | 0:eedb7d567a5d | 306 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 307 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 308 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 309 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 310 | * @param[in] dim_im_out_x output tensor dimension x |
| robert_lp | 0:eedb7d567a5d | 311 | * @param[in] dim_im_out_y output tensor dimension y |
| robert_lp | 0:eedb7d567a5d | 312 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 313 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 314 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 315 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 316 | * |
| robert_lp | 0:eedb7d567a5d | 317 | * This function implement convolution with 1x1 kernel size (i.e., dim_kernel_x=1 |
| robert_lp | 0:eedb7d567a5d | 318 | * and dim_kernel_y=1). It can be used for |
| robert_lp | 0:eedb7d567a5d | 319 | * second half of MobileNets after depthwise separable convolution. |
| robert_lp | 0:eedb7d567a5d | 320 | * |
| robert_lp | 0:eedb7d567a5d | 321 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 322 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 323 | * ch_im_in is multiple of 4 |
| robert_lp | 0:eedb7d567a5d | 324 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 325 | */ |
| robert_lp | 0:eedb7d567a5d | 326 | arm_status arm_convolve_1x1_HWC_q7_fast_nonsquare(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 327 | const uint16_t dim_im_in_x, |
| robert_lp | 0:eedb7d567a5d | 328 | const uint16_t dim_im_in_y, |
| robert_lp | 0:eedb7d567a5d | 329 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 330 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 331 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 332 | const uint16_t dim_kernel_x, |
| robert_lp | 0:eedb7d567a5d | 333 | const uint16_t dim_kernel_y, |
| robert_lp | 0:eedb7d567a5d | 334 | const uint16_t padding_x, |
| robert_lp | 0:eedb7d567a5d | 335 | const uint16_t padding_y, |
| robert_lp | 0:eedb7d567a5d | 336 | const uint16_t stride_x, |
| robert_lp | 0:eedb7d567a5d | 337 | const uint16_t stride_y, |
| robert_lp | 0:eedb7d567a5d | 338 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 339 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 340 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 341 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 342 | const uint16_t dim_im_out_x, |
| robert_lp | 0:eedb7d567a5d | 343 | const uint16_t dim_im_out_y, |
| robert_lp | 0:eedb7d567a5d | 344 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 345 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 346 | |
| robert_lp | 0:eedb7d567a5d | 347 | /** |
| robert_lp | 0:eedb7d567a5d | 348 | * @brief Q7 version of convolution for RGB image |
| robert_lp | 0:eedb7d567a5d | 349 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 350 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 351 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 352 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 353 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 354 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 355 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 356 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 357 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 358 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 359 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 360 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 361 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 362 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 363 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 364 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 365 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 366 | * |
| robert_lp | 0:eedb7d567a5d | 367 | * This kernel is written exclusively for convolution with ch_im_in |
| robert_lp | 0:eedb7d567a5d | 368 | * equals 3. This applies on the first layer of CNNs which has input |
| robert_lp | 0:eedb7d567a5d | 369 | * image with RGB format. |
| robert_lp | 0:eedb7d567a5d | 370 | */ |
| robert_lp | 0:eedb7d567a5d | 371 | |
| robert_lp | 0:eedb7d567a5d | 372 | arm_status arm_convolve_HWC_q7_RGB(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 373 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 374 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 375 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 376 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 377 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 378 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 379 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 380 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 381 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 382 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 383 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 384 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 385 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 386 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 387 | |
| robert_lp | 0:eedb7d567a5d | 388 | /** |
| robert_lp | 0:eedb7d567a5d | 389 | * @brief Fast Q15 convolution function |
| robert_lp | 0:eedb7d567a5d | 390 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 391 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 392 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 393 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 394 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 395 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 396 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 397 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 398 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 399 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 400 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 401 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 402 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 403 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 404 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 405 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 406 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 407 | * |
| robert_lp | 0:eedb7d567a5d | 408 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 409 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 410 | * ch_im_in is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 411 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 412 | */ |
| robert_lp | 0:eedb7d567a5d | 413 | |
| robert_lp | 0:eedb7d567a5d | 414 | arm_status arm_convolve_HWC_q15_fast(const q15_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 415 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 416 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 417 | const q15_t * wt, |
| robert_lp | 0:eedb7d567a5d | 418 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 419 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 420 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 421 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 422 | const q15_t * bias, |
| robert_lp | 0:eedb7d567a5d | 423 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 424 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 425 | q15_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 426 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 427 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 428 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 429 | |
| robert_lp | 0:eedb7d567a5d | 430 | /** |
| robert_lp | 0:eedb7d567a5d | 431 | * @brief Q7 depthwise separable convolution function |
| robert_lp | 0:eedb7d567a5d | 432 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 433 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 434 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 435 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 436 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 437 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 438 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 439 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 440 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 441 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 442 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 443 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 444 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 445 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 446 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 447 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 448 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 449 | * |
| robert_lp | 0:eedb7d567a5d | 450 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 451 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 452 | * ch_im_in is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 453 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 454 | */ |
| robert_lp | 0:eedb7d567a5d | 455 | |
| robert_lp | 0:eedb7d567a5d | 456 | arm_status arm_depthwise_separable_conv_HWC_q7(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 457 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 458 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 459 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 460 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 461 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 462 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 463 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 464 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 465 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 466 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 467 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 468 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 469 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 470 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 471 | |
| robert_lp | 0:eedb7d567a5d | 472 | /** |
| robert_lp | 0:eedb7d567a5d | 473 | * @brief Q7 depthwise separable convolution function (non-square shape) |
| robert_lp | 0:eedb7d567a5d | 474 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 475 | * @param[in] dim_im_in_x input tensor dimention x |
| robert_lp | 0:eedb7d567a5d | 476 | * @param[in] dim_im_in_y input tensor dimention y |
| robert_lp | 0:eedb7d567a5d | 477 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 478 | * @param[in] wt pointer to kernel weights |
| robert_lp | 0:eedb7d567a5d | 479 | * @param[in] ch_im_out number of filters, i.e., output tensor channels |
| robert_lp | 0:eedb7d567a5d | 480 | * @param[in] dim_kernel_x filter kernel size x |
| robert_lp | 0:eedb7d567a5d | 481 | * @param[in] dim_kernel_y filter kernel size y |
| robert_lp | 0:eedb7d567a5d | 482 | * @param[in] padding_x padding sizes x |
| robert_lp | 0:eedb7d567a5d | 483 | * @param[in] padding_y padding sizes y |
| robert_lp | 0:eedb7d567a5d | 484 | * @param[in] stride_x convolution stride x |
| robert_lp | 0:eedb7d567a5d | 485 | * @param[in] stride_y convolution stride y |
| robert_lp | 0:eedb7d567a5d | 486 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 487 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 488 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 489 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 490 | * @param[in] dim_im_out_x output tensor dimension x |
| robert_lp | 0:eedb7d567a5d | 491 | * @param[in] dim_im_out_y output tensor dimension y |
| robert_lp | 0:eedb7d567a5d | 492 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 493 | * @param[in,out] bufferB pointer to buffer space for output |
| robert_lp | 0:eedb7d567a5d | 494 | * @return The function returns either |
| robert_lp | 0:eedb7d567a5d | 495 | * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. |
| robert_lp | 0:eedb7d567a5d | 496 | * |
| robert_lp | 0:eedb7d567a5d | 497 | * This function is the version with full list of optimization tricks, but with |
| robert_lp | 0:eedb7d567a5d | 498 | * some contraints: |
| robert_lp | 0:eedb7d567a5d | 499 | * ch_im_in is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 500 | * ch_im_out is multiple of 2 |
| robert_lp | 0:eedb7d567a5d | 501 | */ |
| robert_lp | 0:eedb7d567a5d | 502 | arm_status arm_depthwise_separable_conv_HWC_q7_nonsquare(const q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 503 | const uint16_t dim_im_in_x, |
| robert_lp | 0:eedb7d567a5d | 504 | const uint16_t dim_im_in_y, |
| robert_lp | 0:eedb7d567a5d | 505 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 506 | const q7_t * wt, |
| robert_lp | 0:eedb7d567a5d | 507 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 508 | const uint16_t dim_kernel_x, |
| robert_lp | 0:eedb7d567a5d | 509 | const uint16_t dim_kernel_y, |
| robert_lp | 0:eedb7d567a5d | 510 | const uint16_t padding_x, |
| robert_lp | 0:eedb7d567a5d | 511 | const uint16_t padding_y, |
| robert_lp | 0:eedb7d567a5d | 512 | const uint16_t stride_x, |
| robert_lp | 0:eedb7d567a5d | 513 | const uint16_t stride_y, |
| robert_lp | 0:eedb7d567a5d | 514 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 515 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 516 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 517 | q7_t * Im_out, |
| robert_lp | 0:eedb7d567a5d | 518 | const uint16_t dim_im_out_x, |
| robert_lp | 0:eedb7d567a5d | 519 | const uint16_t dim_im_out_y, |
| robert_lp | 0:eedb7d567a5d | 520 | q15_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 521 | q7_t * bufferB); |
| robert_lp | 0:eedb7d567a5d | 522 | |
| robert_lp | 0:eedb7d567a5d | 523 | |
| robert_lp | 0:eedb7d567a5d | 524 | /** |
| robert_lp | 0:eedb7d567a5d | 525 | * @defgroup FC Fully-connected Layer Functions |
| robert_lp | 0:eedb7d567a5d | 526 | * |
| robert_lp | 0:eedb7d567a5d | 527 | * Perform fully-connected layer |
| robert_lp | 0:eedb7d567a5d | 528 | * |
| robert_lp | 0:eedb7d567a5d | 529 | * Fully-connected layer is basically a matrix-vector multiplication |
| robert_lp | 0:eedb7d567a5d | 530 | * with bias. The matrix is the weights and the input/output vectors |
| robert_lp | 0:eedb7d567a5d | 531 | * are the activation values. Supported {weight, activation} precisions |
| robert_lp | 0:eedb7d567a5d | 532 | * include {8-bit, 8-bit}, {16-bit, 16-bit}, and {8-bit, 16-bit}. |
| robert_lp | 0:eedb7d567a5d | 533 | * |
| robert_lp | 0:eedb7d567a5d | 534 | * Here we have two types of kernel functions. The basic function |
| robert_lp | 0:eedb7d567a5d | 535 | * implements the function using regular GEMV approach. The opt functions |
| robert_lp | 0:eedb7d567a5d | 536 | * operates with weights in interleaved formats. |
| robert_lp | 0:eedb7d567a5d | 537 | * |
| robert_lp | 0:eedb7d567a5d | 538 | */ |
| robert_lp | 0:eedb7d567a5d | 539 | |
| robert_lp | 0:eedb7d567a5d | 540 | /** |
| robert_lp | 0:eedb7d567a5d | 541 | * @brief Q7 basic fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 542 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 543 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 544 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 545 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 546 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 547 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 548 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 549 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 550 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 551 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 552 | * |
| robert_lp | 0:eedb7d567a5d | 553 | */ |
| robert_lp | 0:eedb7d567a5d | 554 | |
| robert_lp | 0:eedb7d567a5d | 555 | arm_status arm_fully_connected_q7(const q7_t * pV, |
| robert_lp | 0:eedb7d567a5d | 556 | const q7_t * pM, |
| robert_lp | 0:eedb7d567a5d | 557 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 558 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 559 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 560 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 561 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 562 | q7_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 563 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 564 | |
| robert_lp | 0:eedb7d567a5d | 565 | /** |
| robert_lp | 0:eedb7d567a5d | 566 | * @brief Q7 opt fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 567 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 568 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 569 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 570 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 571 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 572 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 573 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 574 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 575 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 576 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 577 | * |
| robert_lp | 0:eedb7d567a5d | 578 | */ |
| robert_lp | 0:eedb7d567a5d | 579 | |
| robert_lp | 0:eedb7d567a5d | 580 | arm_status arm_fully_connected_q7_opt(const q7_t * pV, |
| robert_lp | 0:eedb7d567a5d | 581 | const q7_t * pM, |
| robert_lp | 0:eedb7d567a5d | 582 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 583 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 584 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 585 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 586 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 587 | q7_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 588 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 589 | |
| robert_lp | 0:eedb7d567a5d | 590 | /** |
| robert_lp | 0:eedb7d567a5d | 591 | * @brief Q15 basic fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 592 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 593 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 594 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 595 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 596 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 597 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 598 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 599 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 600 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 601 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 602 | * |
| robert_lp | 0:eedb7d567a5d | 603 | */ |
| robert_lp | 0:eedb7d567a5d | 604 | |
| robert_lp | 0:eedb7d567a5d | 605 | arm_status arm_fully_connected_q15(const q15_t * pV, |
| robert_lp | 0:eedb7d567a5d | 606 | const q15_t * pM, |
| robert_lp | 0:eedb7d567a5d | 607 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 608 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 609 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 610 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 611 | const q15_t * bias, |
| robert_lp | 0:eedb7d567a5d | 612 | q15_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 613 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 614 | |
| robert_lp | 0:eedb7d567a5d | 615 | /** |
| robert_lp | 0:eedb7d567a5d | 616 | * @brief Q15 opt fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 617 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 618 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 619 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 620 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 621 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 622 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 623 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 624 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 625 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 626 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 627 | * |
| robert_lp | 0:eedb7d567a5d | 628 | */ |
| robert_lp | 0:eedb7d567a5d | 629 | |
| robert_lp | 0:eedb7d567a5d | 630 | arm_status arm_fully_connected_q15_opt(const q15_t * pV, |
| robert_lp | 0:eedb7d567a5d | 631 | const q15_t * pM, |
| robert_lp | 0:eedb7d567a5d | 632 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 633 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 634 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 635 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 636 | const q15_t * bias, |
| robert_lp | 0:eedb7d567a5d | 637 | q15_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 638 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 639 | |
| robert_lp | 0:eedb7d567a5d | 640 | /** |
| robert_lp | 0:eedb7d567a5d | 641 | * @brief Mixed Q15-Q7 fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 642 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 643 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 644 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 645 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 646 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 647 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 648 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 649 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 650 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 651 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 652 | * |
| robert_lp | 0:eedb7d567a5d | 653 | */ |
| robert_lp | 0:eedb7d567a5d | 654 | |
| robert_lp | 0:eedb7d567a5d | 655 | arm_status arm_fully_connected_mat_q7_vec_q15(const q15_t * pV, |
| robert_lp | 0:eedb7d567a5d | 656 | const q7_t * pM, |
| robert_lp | 0:eedb7d567a5d | 657 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 658 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 659 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 660 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 661 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 662 | q15_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 663 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 664 | |
| robert_lp | 0:eedb7d567a5d | 665 | /** |
| robert_lp | 0:eedb7d567a5d | 666 | * @brief Mixed Q15-Q7 opt fully-connected layer function |
| robert_lp | 0:eedb7d567a5d | 667 | * @param[in] pV pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 668 | * @param[in] pM pointer to matrix weights |
| robert_lp | 0:eedb7d567a5d | 669 | * @param[in] dim_vec length of the vector |
| robert_lp | 0:eedb7d567a5d | 670 | * @param[in] num_of_rows number of rows in weight matrix |
| robert_lp | 0:eedb7d567a5d | 671 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 672 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 673 | * @param[in] bias pointer to bias |
| robert_lp | 0:eedb7d567a5d | 674 | * @param[in,out] pOut pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 675 | * @param[in,out] vec_buffer pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 676 | * @return The function returns <code>ARM_MATH_SUCCESS</code> |
| robert_lp | 0:eedb7d567a5d | 677 | * |
| robert_lp | 0:eedb7d567a5d | 678 | */ |
| robert_lp | 0:eedb7d567a5d | 679 | |
| robert_lp | 0:eedb7d567a5d | 680 | arm_status arm_fully_connected_mat_q7_vec_q15_opt(const q15_t * pV, |
| robert_lp | 0:eedb7d567a5d | 681 | const q7_t * pM, |
| robert_lp | 0:eedb7d567a5d | 682 | const uint16_t dim_vec, |
| robert_lp | 0:eedb7d567a5d | 683 | const uint16_t num_of_rows, |
| robert_lp | 0:eedb7d567a5d | 684 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 685 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 686 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 687 | q15_t * pOut, |
| robert_lp | 0:eedb7d567a5d | 688 | q15_t * vec_buffer); |
| robert_lp | 0:eedb7d567a5d | 689 | |
| robert_lp | 0:eedb7d567a5d | 690 | /** |
| robert_lp | 0:eedb7d567a5d | 691 | * @brief Matrix-Multiplication Kernels for Convolution |
| robert_lp | 0:eedb7d567a5d | 692 | * |
| robert_lp | 0:eedb7d567a5d | 693 | * These functions are used within convolution layer functions for |
| robert_lp | 0:eedb7d567a5d | 694 | * matrix multiplication. |
| robert_lp | 0:eedb7d567a5d | 695 | * |
| robert_lp | 0:eedb7d567a5d | 696 | * The implementation is similar to CMSIS-DSP arm_mat_mult functions |
| robert_lp | 0:eedb7d567a5d | 697 | * with one Q7 and one Q15 operands. The Q15 operand is the im2col |
| robert_lp | 0:eedb7d567a5d | 698 | * output which is always with 2 columns. |
| robert_lp | 0:eedb7d567a5d | 699 | * |
| robert_lp | 0:eedb7d567a5d | 700 | */ |
| robert_lp | 0:eedb7d567a5d | 701 | |
| robert_lp | 0:eedb7d567a5d | 702 | /** |
| robert_lp | 0:eedb7d567a5d | 703 | * @brief Matrix-multiplication function for convolution |
| robert_lp | 0:eedb7d567a5d | 704 | * @param[in] pA pointer to operand A |
| robert_lp | 0:eedb7d567a5d | 705 | * @param[in] pInBuffer pointer to operand B, always conssists of 2 vectors |
| robert_lp | 0:eedb7d567a5d | 706 | * @param[in] ch_im_out numRow of A |
| robert_lp | 0:eedb7d567a5d | 707 | * @param[in] numCol_A numCol of A |
| robert_lp | 0:eedb7d567a5d | 708 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 709 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 710 | * @param[in] bias the bias |
| robert_lp | 0:eedb7d567a5d | 711 | * @param[in,out] pOut pointer to output |
| robert_lp | 0:eedb7d567a5d | 712 | * @return The function returns the incremented output pointer |
| robert_lp | 0:eedb7d567a5d | 713 | */ |
| robert_lp | 0:eedb7d567a5d | 714 | |
| robert_lp | 0:eedb7d567a5d | 715 | q7_t *arm_nn_mat_mult_kernel_q7_q15(const q7_t * pA, |
| robert_lp | 0:eedb7d567a5d | 716 | const q15_t * pInBuffer, |
| robert_lp | 0:eedb7d567a5d | 717 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 718 | const uint16_t numCol_A, |
| robert_lp | 0:eedb7d567a5d | 719 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 720 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 721 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 722 | q7_t * pOut); |
| robert_lp | 0:eedb7d567a5d | 723 | |
| robert_lp | 0:eedb7d567a5d | 724 | /** |
| robert_lp | 0:eedb7d567a5d | 725 | * @brief Matrix-multiplication function for convolution with reordered columns |
| robert_lp | 0:eedb7d567a5d | 726 | * @param[in] pA pointer to operand A |
| robert_lp | 0:eedb7d567a5d | 727 | * @param[in] pInBuffer pointer to operand B, always conssists of 2 vectors |
| robert_lp | 0:eedb7d567a5d | 728 | * @param[in] ch_im_out numRow of A |
| robert_lp | 0:eedb7d567a5d | 729 | * @param[in] numCol_A numCol of A |
| robert_lp | 0:eedb7d567a5d | 730 | * @param[in] bias_shift amount of left-shift for bias |
| robert_lp | 0:eedb7d567a5d | 731 | * @param[in] out_shift amount of right-shift for output |
| robert_lp | 0:eedb7d567a5d | 732 | * @param[in] bias the bias |
| robert_lp | 0:eedb7d567a5d | 733 | * @param[in,out] pOut pointer to output |
| robert_lp | 0:eedb7d567a5d | 734 | * @return The function returns the incremented output pointer |
| robert_lp | 0:eedb7d567a5d | 735 | */ |
| robert_lp | 0:eedb7d567a5d | 736 | |
| robert_lp | 0:eedb7d567a5d | 737 | q7_t *arm_nn_mat_mult_kernel_q7_q15_reordered(const q7_t * pA, |
| robert_lp | 0:eedb7d567a5d | 738 | const q15_t * pInBuffer, |
| robert_lp | 0:eedb7d567a5d | 739 | const uint16_t ch_im_out, |
| robert_lp | 0:eedb7d567a5d | 740 | const uint16_t numCol_A, |
| robert_lp | 0:eedb7d567a5d | 741 | const uint16_t bias_shift, |
| robert_lp | 0:eedb7d567a5d | 742 | const uint16_t out_shift, |
| robert_lp | 0:eedb7d567a5d | 743 | const q7_t * bias, |
| robert_lp | 0:eedb7d567a5d | 744 | q7_t * pOut); |
| robert_lp | 0:eedb7d567a5d | 745 | |
| robert_lp | 0:eedb7d567a5d | 746 | #ifdef __cplusplus |
| robert_lp | 0:eedb7d567a5d | 747 | } |
| robert_lp | 0:eedb7d567a5d | 748 | #endif |
| robert_lp | 0:eedb7d567a5d | 749 | |
| robert_lp | 0:eedb7d567a5d | 750 | /* |
| robert_lp | 0:eedb7d567a5d | 751 | * Other functions |
| robert_lp | 0:eedb7d567a5d | 752 | * These layers are typically not timing critical |
| robert_lp | 0:eedb7d567a5d | 753 | * Basic implementation is supported here |
| robert_lp | 0:eedb7d567a5d | 754 | */ |
| robert_lp | 0:eedb7d567a5d | 755 | |
| robert_lp | 0:eedb7d567a5d | 756 | #ifdef __cplusplus |
| robert_lp | 0:eedb7d567a5d | 757 | extern "C" |
| robert_lp | 0:eedb7d567a5d | 758 | { |
| robert_lp | 0:eedb7d567a5d | 759 | #endif |
| robert_lp | 0:eedb7d567a5d | 760 | |
| robert_lp | 0:eedb7d567a5d | 761 | /** |
| robert_lp | 0:eedb7d567a5d | 762 | * @defgroup Acti Neural Network Activation Functions |
| robert_lp | 0:eedb7d567a5d | 763 | * |
| robert_lp | 0:eedb7d567a5d | 764 | * Perform activation layers, including ReLU (Rectified Linear Unit), |
| robert_lp | 0:eedb7d567a5d | 765 | * sigmoid and tanh |
| robert_lp | 0:eedb7d567a5d | 766 | * |
| robert_lp | 0:eedb7d567a5d | 767 | */ |
| robert_lp | 0:eedb7d567a5d | 768 | |
| robert_lp | 0:eedb7d567a5d | 769 | /** |
| robert_lp | 0:eedb7d567a5d | 770 | * @brief Q7 RELU function |
| robert_lp | 0:eedb7d567a5d | 771 | * @param[in,out] data pointer to input |
| robert_lp | 0:eedb7d567a5d | 772 | * @param[in] size number of elements |
| robert_lp | 0:eedb7d567a5d | 773 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 774 | */ |
| robert_lp | 0:eedb7d567a5d | 775 | |
| robert_lp | 0:eedb7d567a5d | 776 | void arm_relu_q7(q7_t * data, uint16_t size); |
| robert_lp | 0:eedb7d567a5d | 777 | |
| robert_lp | 0:eedb7d567a5d | 778 | /** |
| robert_lp | 0:eedb7d567a5d | 779 | * @brief Q15 RELU function |
| robert_lp | 0:eedb7d567a5d | 780 | * @param[in,out] data pointer to input |
| robert_lp | 0:eedb7d567a5d | 781 | * @param[in] size number of elements |
| robert_lp | 0:eedb7d567a5d | 782 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 783 | */ |
| robert_lp | 0:eedb7d567a5d | 784 | |
| robert_lp | 0:eedb7d567a5d | 785 | void arm_relu_q15(q15_t * data, uint16_t size); |
| robert_lp | 0:eedb7d567a5d | 786 | |
| robert_lp | 0:eedb7d567a5d | 787 | /** |
| robert_lp | 0:eedb7d567a5d | 788 | * @brief Q7 neural network activation function using direct table look-up |
| robert_lp | 0:eedb7d567a5d | 789 | * @param[in,out] data pointer to input |
| robert_lp | 0:eedb7d567a5d | 790 | * @param[in] size number of elements |
| robert_lp | 0:eedb7d567a5d | 791 | * @param[in] int_width bit-width of the integer part, assume to be smaller than 3 |
| robert_lp | 0:eedb7d567a5d | 792 | * @param[in] type type of activation functions |
| robert_lp | 0:eedb7d567a5d | 793 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 794 | */ |
| robert_lp | 0:eedb7d567a5d | 795 | |
| robert_lp | 0:eedb7d567a5d | 796 | void arm_nn_activations_direct_q7(q7_t * data, uint16_t size, uint16_t int_width, |
| robert_lp | 0:eedb7d567a5d | 797 | arm_nn_activation_type type); |
| robert_lp | 0:eedb7d567a5d | 798 | |
| robert_lp | 0:eedb7d567a5d | 799 | /** |
| robert_lp | 0:eedb7d567a5d | 800 | * @brief Q15 neural network activation function using direct table look-up |
| robert_lp | 0:eedb7d567a5d | 801 | * @param[in,out] data pointer to input |
| robert_lp | 0:eedb7d567a5d | 802 | * @param[in] size number of elements |
| robert_lp | 0:eedb7d567a5d | 803 | * @param[in] int_width bit-width of the integer part, assume to be smaller than 3 |
| robert_lp | 0:eedb7d567a5d | 804 | * @param[in] type type of activation functions |
| robert_lp | 0:eedb7d567a5d | 805 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 806 | */ |
| robert_lp | 0:eedb7d567a5d | 807 | |
| robert_lp | 0:eedb7d567a5d | 808 | void arm_nn_activations_direct_q15(q15_t * data, uint16_t size, uint16_t int_width, |
| robert_lp | 0:eedb7d567a5d | 809 | arm_nn_activation_type type); |
| robert_lp | 0:eedb7d567a5d | 810 | |
| robert_lp | 0:eedb7d567a5d | 811 | /** |
| robert_lp | 0:eedb7d567a5d | 812 | * @defgroup Pooling Neural Network Pooling Functions |
| robert_lp | 0:eedb7d567a5d | 813 | * |
| robert_lp | 0:eedb7d567a5d | 814 | * Perform pooling functions, including max pooling and average pooling |
| robert_lp | 0:eedb7d567a5d | 815 | * |
| robert_lp | 0:eedb7d567a5d | 816 | */ |
| robert_lp | 0:eedb7d567a5d | 817 | |
| robert_lp | 0:eedb7d567a5d | 818 | /** |
| robert_lp | 0:eedb7d567a5d | 819 | * @brief Q7 max pooling function |
| robert_lp | 0:eedb7d567a5d | 820 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 821 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 822 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 823 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 824 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 825 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 826 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 827 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 828 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 829 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 830 | * |
| robert_lp | 0:eedb7d567a5d | 831 | */ |
| robert_lp | 0:eedb7d567a5d | 832 | |
| robert_lp | 0:eedb7d567a5d | 833 | void arm_maxpool_q7_HWC(q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 834 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 835 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 836 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 837 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 838 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 839 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 840 | q7_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 841 | q7_t * Im_out); |
| robert_lp | 0:eedb7d567a5d | 842 | |
| robert_lp | 0:eedb7d567a5d | 843 | /** |
| robert_lp | 0:eedb7d567a5d | 844 | * @brief Q7 average pooling function |
| robert_lp | 0:eedb7d567a5d | 845 | * @param[in] Im_in pointer to input tensor |
| robert_lp | 0:eedb7d567a5d | 846 | * @param[in] dim_im_in input tensor dimention |
| robert_lp | 0:eedb7d567a5d | 847 | * @param[in] ch_im_in number of input tensor channels |
| robert_lp | 0:eedb7d567a5d | 848 | * @param[in] dim_kernel filter kernel size |
| robert_lp | 0:eedb7d567a5d | 849 | * @param[in] padding padding sizes |
| robert_lp | 0:eedb7d567a5d | 850 | * @param[in] stride convolution stride |
| robert_lp | 0:eedb7d567a5d | 851 | * @param[in] dim_im_out output tensor dimension |
| robert_lp | 0:eedb7d567a5d | 852 | * @param[in,out] bufferA pointer to buffer space for input |
| robert_lp | 0:eedb7d567a5d | 853 | * @param[in,out] Im_out pointer to output tensor |
| robert_lp | 0:eedb7d567a5d | 854 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 855 | * |
| robert_lp | 0:eedb7d567a5d | 856 | */ |
| robert_lp | 0:eedb7d567a5d | 857 | |
| robert_lp | 0:eedb7d567a5d | 858 | void arm_avepool_q7_HWC(q7_t * Im_in, |
| robert_lp | 0:eedb7d567a5d | 859 | const uint16_t dim_im_in, |
| robert_lp | 0:eedb7d567a5d | 860 | const uint16_t ch_im_in, |
| robert_lp | 0:eedb7d567a5d | 861 | const uint16_t dim_kernel, |
| robert_lp | 0:eedb7d567a5d | 862 | const uint16_t padding, |
| robert_lp | 0:eedb7d567a5d | 863 | const uint16_t stride, |
| robert_lp | 0:eedb7d567a5d | 864 | const uint16_t dim_im_out, |
| robert_lp | 0:eedb7d567a5d | 865 | q7_t * bufferA, |
| robert_lp | 0:eedb7d567a5d | 866 | q7_t * Im_out); |
| robert_lp | 0:eedb7d567a5d | 867 | |
| robert_lp | 0:eedb7d567a5d | 868 | /** |
| robert_lp | 0:eedb7d567a5d | 869 | * @defgroup Softmax Softmax Functions |
| robert_lp | 0:eedb7d567a5d | 870 | * |
| robert_lp | 0:eedb7d567a5d | 871 | * EXP(2) based softmax function |
| robert_lp | 0:eedb7d567a5d | 872 | * |
| robert_lp | 0:eedb7d567a5d | 873 | */ |
| robert_lp | 0:eedb7d567a5d | 874 | |
| robert_lp | 0:eedb7d567a5d | 875 | /** |
| robert_lp | 0:eedb7d567a5d | 876 | * @brief Q7 softmax function |
| robert_lp | 0:eedb7d567a5d | 877 | * @param[in] vec_in pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 878 | * @param[in] dim_vec input vector dimention |
| robert_lp | 0:eedb7d567a5d | 879 | * @param[out] p_out pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 880 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 881 | * |
| robert_lp | 0:eedb7d567a5d | 882 | */ |
| robert_lp | 0:eedb7d567a5d | 883 | |
| robert_lp | 0:eedb7d567a5d | 884 | void arm_softmax_q7(const q7_t * vec_in, const uint16_t dim_vec, q7_t * p_out); |
| robert_lp | 0:eedb7d567a5d | 885 | |
| robert_lp | 0:eedb7d567a5d | 886 | /** |
| robert_lp | 0:eedb7d567a5d | 887 | * @brief Q15 softmax function |
| robert_lp | 0:eedb7d567a5d | 888 | * @param[in] vec_in pointer to input vector |
| robert_lp | 0:eedb7d567a5d | 889 | * @param[in] dim_vec input vector dimention |
| robert_lp | 0:eedb7d567a5d | 890 | * @param[out] p_out pointer to output vector |
| robert_lp | 0:eedb7d567a5d | 891 | * @return none. |
| robert_lp | 0:eedb7d567a5d | 892 | * |
| robert_lp | 0:eedb7d567a5d | 893 | */ |
| robert_lp | 0:eedb7d567a5d | 894 | |
| robert_lp | 0:eedb7d567a5d | 895 | void arm_softmax_q15(const q15_t * vec_in, const uint16_t dim_vec, q15_t * p_out); |
| robert_lp | 0:eedb7d567a5d | 896 | |
| robert_lp | 0:eedb7d567a5d | 897 | #ifdef __cplusplus |
| robert_lp | 0:eedb7d567a5d | 898 | } |
| robert_lp | 0:eedb7d567a5d | 899 | #endif |
| robert_lp | 0:eedb7d567a5d | 900 | |
| robert_lp | 0:eedb7d567a5d | 901 | #endif |
| robert_lp | 0:eedb7d567a5d | 902 |