giuros01 | 14c4e0f | 2019-03-26 17:44:40 +0000 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2019 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/NEFFTRadixStageKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/ITensor.h" |
| 27 | #include "arm_compute/core/NEON/wrapper/traits.h" |
| 28 | #include "arm_compute/core/NEON/wrapper/wrapper.h" |
| 29 | #include "arm_compute/core/TensorInfo.h" |
| 30 | #include "arm_compute/core/Types.h" |
| 31 | #include "arm_compute/core/Utils.h" |
| 32 | #include "arm_compute/core/Window.h" |
| 33 | |
| 34 | #include <arm_neon.h> |
| 35 | #include <cmath> |
| 36 | #include <complex> |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace |
| 41 | { |
| 42 | constexpr float PI = 3.141592653589793f; |
| 43 | |
| 44 | float32x2_t c_mul_neon(float32x2_t a, float32x2_t b) |
| 45 | { |
| 46 | float32x2_t tmp = wrapper::vmul(a, b); |
| 47 | |
| 48 | const float P1 = wrapper::vgetlane(tmp, 0); |
| 49 | const float P2 = wrapper::vgetlane(tmp, 1); |
| 50 | |
| 51 | const float a_r = wrapper::vgetlane(a, 0); |
| 52 | const float a_i = wrapper::vgetlane(a, 1); |
| 53 | const float b_r = wrapper::vgetlane(b, 0); |
| 54 | const float b_i = wrapper::vgetlane(b, 1); |
| 55 | |
| 56 | const float P3 = (a_r + a_i) * (b_r + b_i); |
| 57 | float32x2_t out = { P1 - P2, P3 - P2 - P1 }; |
| 58 | return out; |
| 59 | } |
| 60 | |
| 61 | float32x2_t c_mul_neon_img(float32x2_t a, float img_constant) |
| 62 | { |
| 63 | const float a_r = wrapper::vgetlane(a, 0); |
| 64 | const float a_i = wrapper::vgetlane(a, 1); |
| 65 | |
| 66 | const auto out = wrapper::vmul(float32x2_t{ -a_i, a_r }, float32x2_t{ img_constant, img_constant }); |
| 67 | return out; |
| 68 | } |
| 69 | |
| 70 | float32x2_t reduce_sum_5(float32x2_t a, float32x2_t b, float32x2_t c, float32x2_t d, float32x2_t e) |
| 71 | { |
| 72 | const auto t0 = wrapper::vadd(a, b); |
| 73 | const auto t1 = wrapper::vadd(c, d); |
| 74 | const auto t2 = wrapper::vadd(t0, t1); |
| 75 | return wrapper::vadd(t2, e); |
| 76 | } |
| 77 | |
| 78 | float32x2_t reduce_sum_7(float32x2_t x1, float32x2_t x2, float32x2_t x3, float32x2_t x4, float32x2_t x5, float32x2_t x6, float32x2_t x7) |
| 79 | { |
| 80 | const auto t0 = wrapper::vadd(x1, x2); |
| 81 | const auto t1 = wrapper::vadd(x3, x4); |
| 82 | const auto t2 = wrapper::vadd(x5, x6); |
| 83 | const auto t00 = wrapper::vadd(t0, t1); |
| 84 | const auto t01 = wrapper::vadd(t2, x7); |
| 85 | |
| 86 | return wrapper::vadd(t00, t01); |
| 87 | } |
| 88 | |
| 89 | float32x2_t reduce_sum_8(float32x2_t x1, float32x2_t x2, float32x2_t x3, float32x2_t x4, float32x2_t x5, float32x2_t x6, float32x2_t x7, float32x2_t x8) |
| 90 | { |
| 91 | const auto t0 = wrapper::vadd(x1, x2); |
| 92 | const auto t1 = wrapper::vadd(x3, x4); |
| 93 | const auto t2 = wrapper::vadd(x5, x6); |
| 94 | const auto t3 = wrapper::vadd(x7, x8); |
| 95 | const auto t00 = wrapper::vadd(t0, t1); |
| 96 | const auto t01 = wrapper::vadd(t2, t3); |
| 97 | |
| 98 | return wrapper::vadd(t00, t01); |
| 99 | } |
| 100 | |
| 101 | void fft_2(float32x2_t &x, float32x2_t &y, float32x2_t &w) |
| 102 | { |
| 103 | float32x2_t a = x; |
| 104 | float32x2_t b = c_mul_neon(w, y); |
| 105 | |
| 106 | x = wrapper::vadd(a, b); |
| 107 | y = wrapper::vsub(a, b); |
| 108 | } |
| 109 | |
| 110 | constexpr float sqrt3div2 = 0.866025403784438; |
| 111 | void fft_3(float32x2_t &x, float32x2_t &y, float32x2_t &z, const float32x2_t &w, const float32x2_t &w2) |
| 112 | { |
| 113 | float32x2_t a = x; |
| 114 | float32x2_t b = c_mul_neon(w, y); |
| 115 | float32x2_t c = c_mul_neon(w2, z); |
| 116 | |
| 117 | x = wrapper::vadd(a, b); |
| 118 | x = wrapper::vadd(x, c); |
| 119 | |
| 120 | const auto v1 = wrapper::vmul(float32x2_t{ 0.5f, 0.5 }, wrapper::vadd(b, c)); |
| 121 | const auto v2 = c_mul_neon(float32x2_t{ 0.f, -sqrt3div2 }, wrapper::vsub(b, c)); |
| 122 | |
| 123 | y = z = wrapper::vsub(a, v1); |
| 124 | y = wrapper::vadd(y, v2); |
| 125 | z = wrapper::vsub(z, v2); |
| 126 | } |
| 127 | |
| 128 | void fft_4(float32x2_t &x1, float32x2_t &x2, float32x2_t &x3, float32x2_t &x4, const float32x2_t &w, const float32x2_t &w2, const float32x2_t &w3) |
| 129 | { |
| 130 | float32x2_t a = x1; |
| 131 | float32x2_t b = c_mul_neon(w, x2); |
| 132 | float32x2_t c = c_mul_neon(w2, x3); |
| 133 | float32x2_t d = c_mul_neon(w3, x4); |
| 134 | |
| 135 | const auto x11 = wrapper::vadd(a, b); |
| 136 | const auto x12 = wrapper::vadd(c, d); |
| 137 | x1 = wrapper::vadd(x11, x12); |
| 138 | |
| 139 | const auto x21 = wrapper::vadd(a, c_mul_neon_img(b, -1)); |
| 140 | const auto x22 = wrapper::vadd(wrapper::vneg(c), c_mul_neon_img(d, 1.f)); |
| 141 | x2 = wrapper::vadd(x21, x22); |
| 142 | |
| 143 | const auto x31 = wrapper::vadd(a, wrapper::vneg(b)); |
| 144 | const auto x32 = wrapper::vadd(c, wrapper::vneg(d)); |
| 145 | x3 = wrapper::vadd(x31, x32); |
| 146 | |
| 147 | const auto x41 = wrapper::vadd(a, c_mul_neon_img(b, 1)); |
| 148 | const auto x42 = wrapper::vadd(wrapper::vneg(c), c_mul_neon_img(d, -1)); |
| 149 | x4 = wrapper::vadd(x41, x42); |
| 150 | } |
| 151 | |
| 152 | constexpr float W5_0 = 0.30901699437494f; |
| 153 | constexpr float W5_1 = 0.95105651629515f; |
| 154 | constexpr float W5_2 = 0.80901699437494f; |
| 155 | constexpr float W5_3 = 0.58778525229247f; |
| 156 | void fft_5(float32x2_t &x1, float32x2_t &x2, float32x2_t &x3, float32x2_t &x4, float32x2_t &x5, const float32x2_t &w, const float32x2_t &w2, const float32x2_t &w3, const float32x2_t &w4) |
| 157 | { |
| 158 | const auto a = x1; |
| 159 | const auto b = c_mul_neon(w, x2); |
| 160 | const auto c = c_mul_neon(w2, x3); |
| 161 | const auto d = c_mul_neon(w3, x4); |
| 162 | const auto e = c_mul_neon(w4, x5); |
| 163 | |
| 164 | const auto b0 = c_mul_neon(float32x2_t{ W5_0, -W5_1 }, b); |
| 165 | const auto b1 = c_mul_neon(float32x2_t{ -W5_2, -W5_3 }, b); |
| 166 | const auto b2 = c_mul_neon(float32x2_t{ -W5_2, W5_3 }, b); |
| 167 | const auto b3 = c_mul_neon(float32x2_t{ W5_0, W5_1 }, b); |
| 168 | |
| 169 | const auto c0 = c_mul_neon(float32x2_t{ -W5_2, -W5_3 }, c); |
| 170 | const auto c1 = c_mul_neon(float32x2_t{ W5_0, W5_1 }, c); |
| 171 | const auto c2 = c_mul_neon(float32x2_t{ W5_0, -W5_1 }, c); |
| 172 | const auto c3 = c_mul_neon(float32x2_t{ -W5_2, W5_3 }, c); |
| 173 | |
| 174 | const auto d0 = c_mul_neon(float32x2_t{ -W5_2, W5_3 }, d); |
| 175 | const auto d1 = c_mul_neon(float32x2_t{ W5_0, -W5_1 }, d); |
| 176 | const auto d2 = c_mul_neon(float32x2_t{ W5_0, W5_1 }, d); |
| 177 | const auto d3 = c_mul_neon(float32x2_t{ -W5_2, -W5_3 }, d); |
| 178 | |
| 179 | const auto e0 = c_mul_neon(float32x2_t{ W5_0, W5_1 }, e); |
| 180 | const auto e1 = c_mul_neon(float32x2_t{ -W5_2, W5_3 }, e); |
| 181 | const auto e2 = c_mul_neon(float32x2_t{ -W5_2, -W5_3 }, e); |
| 182 | const auto e3 = c_mul_neon(float32x2_t{ W5_0, -W5_1 }, e); |
| 183 | |
| 184 | x1 = reduce_sum_5(a, b, c, d, e); |
| 185 | x2 = reduce_sum_5(a, b0, c0, d0, e0); |
| 186 | x3 = reduce_sum_5(a, b1, c1, d1, e1); |
| 187 | x4 = reduce_sum_5(a, b2, c2, d2, e2); |
| 188 | x5 = reduce_sum_5(a, b3, c3, d3, e3); |
| 189 | } |
| 190 | |
| 191 | constexpr float W7_0 = 0.62348980185873f; |
| 192 | constexpr float W7_1 = 0.78183148246802f; |
| 193 | constexpr float W7_2 = 0.22252093395631f; |
| 194 | constexpr float W7_3 = 0.97492791218182f; |
| 195 | constexpr float W7_4 = 0.90096886790241f; |
| 196 | constexpr float W7_5 = 0.43388373911755f; |
| 197 | void fft_7(float32x2_t &x1, float32x2_t &x2, float32x2_t &x3, float32x2_t &x4, float32x2_t &x5, float32x2_t &x6, float32x2_t &x7, const float32x2_t &w, const float32x2_t &w2, const float32x2_t &w3, |
| 198 | const float32x2_t &w4, |
| 199 | const float32x2_t &w5, const float32x2_t &w6) |
| 200 | { |
| 201 | const auto a = x1; |
| 202 | const auto b = c_mul_neon(w, x2); |
| 203 | const auto c = c_mul_neon(w2, x3); |
| 204 | const auto d = c_mul_neon(w3, x4); |
| 205 | const auto e = c_mul_neon(w4, x5); |
| 206 | const auto f = c_mul_neon(w5, x6); |
| 207 | const auto g = c_mul_neon(w6, x7); |
| 208 | |
| 209 | const auto b0 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, b); |
| 210 | const auto b1 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, b); |
| 211 | const auto b2 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, b); |
| 212 | const auto b3 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, b); |
| 213 | const auto b4 = c_mul_neon(float32x2_t{ -W7_2, W7_3 }, b); |
| 214 | const auto b5 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, b); |
| 215 | |
| 216 | const auto c0 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, c); |
| 217 | const auto c1 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, c); |
| 218 | const auto c2 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, c); |
| 219 | const auto c3 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, c); |
| 220 | const auto c4 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, c); |
| 221 | const auto c5 = c_mul_neon(float32x2_t{ -W7_2, W7_3 }, c); |
| 222 | |
| 223 | const auto d0 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, d); |
| 224 | const auto d1 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, d); |
| 225 | const auto d2 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, d); |
| 226 | const auto d3 = c_mul_neon(float32x2_t{ -W7_2, +W7_3 }, d); |
| 227 | const auto d4 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, d); |
| 228 | const auto d5 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, d); |
| 229 | |
| 230 | const auto e0 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, e); |
| 231 | const auto e1 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, e); |
| 232 | const auto e2 = c_mul_neon(float32x2_t{ -W7_2, W7_3 }, e); |
| 233 | const auto e3 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, e); |
| 234 | const auto e4 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, e); |
| 235 | const auto e5 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, e); |
| 236 | |
| 237 | const auto f0 = c_mul_neon(float32x2_t{ -W7_2, W7_3 }, f); |
| 238 | const auto f1 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, f); |
| 239 | const auto f2 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, f); |
| 240 | const auto f3 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, f); |
| 241 | const auto f4 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, f); |
| 242 | const auto f5 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, f); |
| 243 | |
| 244 | const auto g0 = c_mul_neon(float32x2_t{ W7_0, W7_1 }, g); |
| 245 | const auto g1 = c_mul_neon(float32x2_t{ -W7_2, W7_3 }, g); |
| 246 | const auto g2 = c_mul_neon(float32x2_t{ -W7_4, W7_5 }, g); |
| 247 | const auto g3 = c_mul_neon(float32x2_t{ -W7_4, -W7_5 }, g); |
| 248 | const auto g4 = c_mul_neon(float32x2_t{ -W7_2, -W7_3 }, g); |
| 249 | const auto g5 = c_mul_neon(float32x2_t{ W7_0, -W7_1 }, g); |
| 250 | |
| 251 | x1 = reduce_sum_7(a, b, c, d, e, f, g); |
| 252 | x2 = reduce_sum_7(a, b0, c0, d0, e0, f0, g0); |
| 253 | x3 = reduce_sum_7(a, b1, c1, d1, e1, f1, g1); |
| 254 | x4 = reduce_sum_7(a, b2, c2, d2, e2, f2, g2); |
| 255 | x5 = reduce_sum_7(a, b3, c3, d3, e3, f3, g3); |
| 256 | x6 = reduce_sum_7(a, b4, c4, d4, e4, f4, g4); |
| 257 | x7 = reduce_sum_7(a, b5, c5, d5, e5, f5, g5); |
| 258 | } |
| 259 | |
| 260 | constexpr float sqrt2div2 = 0.707106781186548; |
| 261 | void fft_8(float32x2_t &x1, float32x2_t &x2, float32x2_t &x3, float32x2_t &x4, float32x2_t &x5, float32x2_t &x6, float32x2_t &x7, float32x2_t &x8, const float32x2_t &w, const float32x2_t &w2, |
| 262 | const float32x2_t &w3, |
| 263 | const float32x2_t &w4, const float32x2_t &w5, const float32x2_t &w6, |
| 264 | const float32x2_t &w7) |
| 265 | { |
| 266 | const auto a = x1; |
| 267 | const auto b = c_mul_neon(w, x2); |
| 268 | const auto c = c_mul_neon(w2, x3); |
| 269 | const auto d = c_mul_neon(w3, x4); |
| 270 | const auto e = c_mul_neon(w4, x5); |
| 271 | const auto f = c_mul_neon(w5, x6); |
| 272 | const auto g = c_mul_neon(w6, x7); |
| 273 | const auto h = c_mul_neon(w7, x8); |
| 274 | |
| 275 | const auto b0 = c_mul_neon(float32x2_t{ sqrt2div2, -sqrt2div2 }, b); |
| 276 | const auto b1 = c_mul_neon(float32x2_t{ 0, -1 }, b); |
| 277 | const auto b2 = c_mul_neon(float32x2_t{ -sqrt2div2, -sqrt2div2 }, b); |
| 278 | const auto b3 = c_mul_neon(float32x2_t{ -1, 0 }, b); |
| 279 | const auto b4 = c_mul_neon(float32x2_t{ -sqrt2div2, sqrt2div2 }, b); |
| 280 | const auto b5 = c_mul_neon(float32x2_t{ 0, 1 }, b); |
| 281 | const auto b6 = c_mul_neon(float32x2_t{ sqrt2div2, sqrt2div2 }, b); |
| 282 | |
| 283 | const auto c0 = c_mul_neon(float32x2_t{ 0, -1 }, c); |
| 284 | const auto c1 = c_mul_neon(float32x2_t{ -1, 0 }, c); |
| 285 | const auto c2 = c_mul_neon(float32x2_t{ 0, 1 }, c); |
| 286 | const auto c3 = c_mul_neon(float32x2_t{ 1, 0 }, c); |
| 287 | const auto c4 = c_mul_neon(float32x2_t{ 0, -1 }, c); |
| 288 | const auto c5 = c_mul_neon(float32x2_t{ -1, 0 }, c); |
| 289 | const auto c6 = c_mul_neon(float32x2_t{ 0, 1 }, c); |
| 290 | |
| 291 | const auto d0 = c_mul_neon(float32x2_t{ -sqrt2div2, -sqrt2div2 }, d); |
| 292 | const auto d1 = c_mul_neon(float32x2_t{ 0, 1 }, d); |
| 293 | const auto d2 = c_mul_neon(float32x2_t{ sqrt2div2, -sqrt2div2 }, d); |
| 294 | const auto d3 = c_mul_neon(float32x2_t{ -1, 0 }, d); |
| 295 | const auto d4 = c_mul_neon(float32x2_t{ sqrt2div2, sqrt2div2 }, d); |
| 296 | const auto d5 = c_mul_neon(float32x2_t{ 0, -1 }, d); |
| 297 | const auto d6 = c_mul_neon(float32x2_t{ -sqrt2div2, sqrt2div2 }, d); |
| 298 | |
| 299 | const auto e0 = c_mul_neon(float32x2_t{ -1, 0 }, e); |
| 300 | const auto e1 = c_mul_neon(float32x2_t{ 1, 0 }, e); |
| 301 | const auto e2 = c_mul_neon(float32x2_t{ -1, 0 }, e); |
| 302 | const auto e3 = c_mul_neon(float32x2_t{ 1, 0 }, e); |
| 303 | const auto e4 = c_mul_neon(float32x2_t{ -1, 0 }, e); |
| 304 | const auto e5 = c_mul_neon(float32x2_t{ 1, 0 }, e); |
| 305 | const auto e6 = c_mul_neon(float32x2_t{ -1, 0 }, e); |
| 306 | |
| 307 | const auto f0 = c_mul_neon(float32x2_t{ -sqrt2div2, sqrt2div2 }, f); |
| 308 | const auto f1 = c_mul_neon(float32x2_t{ 0, -1 }, f); |
| 309 | const auto f2 = c_mul_neon(float32x2_t{ sqrt2div2, sqrt2div2 }, f); |
| 310 | const auto f3 = c_mul_neon(float32x2_t{ -1, 0 }, f); |
| 311 | const auto f4 = c_mul_neon(float32x2_t{ sqrt2div2, -sqrt2div2 }, f); |
| 312 | const auto f5 = c_mul_neon(float32x2_t{ 0, 1 }, f); |
| 313 | const auto f6 = c_mul_neon(float32x2_t{ -sqrt2div2, -sqrt2div2 }, f); |
| 314 | |
| 315 | const auto g0 = c_mul_neon(float32x2_t{ 0, 1 }, g); |
| 316 | const auto g1 = c_mul_neon(float32x2_t{ -1, 0 }, g); |
| 317 | const auto g2 = c_mul_neon(float32x2_t{ 0, -1 }, g); |
| 318 | const auto g3 = c_mul_neon(float32x2_t{ 1, 0 }, g); |
| 319 | const auto g4 = c_mul_neon(float32x2_t{ 0, 1 }, g); |
| 320 | const auto g5 = c_mul_neon(float32x2_t{ -1, 0 }, g); |
| 321 | const auto g6 = c_mul_neon(float32x2_t{ 0, -1 }, g); |
| 322 | |
| 323 | const auto h0 = c_mul_neon(float32x2_t{ sqrt2div2, sqrt2div2 }, h); |
| 324 | const auto h1 = c_mul_neon(float32x2_t{ 0, 1 }, h); |
| 325 | const auto h2 = c_mul_neon(float32x2_t{ -sqrt2div2, sqrt2div2 }, h); |
| 326 | const auto h3 = c_mul_neon(float32x2_t{ -1, 0 }, h); |
| 327 | const auto h4 = c_mul_neon(float32x2_t{ -sqrt2div2, -sqrt2div2 }, h); |
| 328 | const auto h5 = c_mul_neon(float32x2_t{ 0, -1 }, h); |
| 329 | const auto h6 = c_mul_neon(float32x2_t{ sqrt2div2, -sqrt2div2 }, h); |
| 330 | |
| 331 | x1 = reduce_sum_8(a, b, c, d, e, f, g, h); |
| 332 | x2 = reduce_sum_8(a, b0, c0, d0, e0, f0, g0, h0); |
| 333 | x3 = reduce_sum_8(a, b1, c1, d1, e1, f1, g1, h1); |
| 334 | x4 = reduce_sum_8(a, b2, c2, d2, e2, f2, g2, h2); |
| 335 | x5 = reduce_sum_8(a, b3, c3, d3, e3, f3, g3, h3); |
| 336 | x6 = reduce_sum_8(a, b4, c4, d4, e4, f4, g4, h4); |
| 337 | x7 = reduce_sum_8(a, b5, c5, d5, e5, f5, g5, h5); |
| 338 | x8 = reduce_sum_8(a, b6, c6, d6, e6, f6, g6, h6); |
| 339 | } |
| 340 | |
| 341 | template <bool first_stage> |
| 342 | void fft_radix_2_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 343 | { |
| 344 | unsigned int Nx2 = 2 * Nx; |
| 345 | float alpha = 2 * PI / Nx2; |
| 346 | |
| 347 | float32x2_t w{ 1, 0 }; |
| 348 | const float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 349 | |
| 350 | for(unsigned int j = 0; j < Nx; j++) |
| 351 | { |
| 352 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx2) |
| 353 | { |
| 354 | auto a = float32x2_t{ 0, 0 }; |
| 355 | auto b = float32x2_t{ 0, 0 }; |
| 356 | |
| 357 | // Load inputs |
| 358 | if(first_stage) |
| 359 | { |
| 360 | const auto ab = wrapper::vloadq(x + k); |
| 361 | a = wrapper::vgetlow(ab); |
| 362 | b = wrapper::vgethigh(ab); |
| 363 | } |
| 364 | else |
| 365 | { |
| 366 | a = wrapper::vload(x + k); |
| 367 | b = wrapper::vload(x + k + 2 * Nx); |
| 368 | } |
| 369 | |
| 370 | // Base-case prime transform |
| 371 | fft_2(a, b, w); |
| 372 | |
| 373 | // Write outputs |
| 374 | if(first_stage) |
| 375 | { |
| 376 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 377 | } |
| 378 | else |
| 379 | { |
| 380 | wrapper::vstore(X + k, a); |
| 381 | wrapper::vstore(X + k + 2 * Nx, b); |
| 382 | } |
| 383 | } |
| 384 | |
| 385 | w = c_mul_neon(w, w_m); |
| 386 | } |
| 387 | } |
| 388 | |
| 389 | template <bool first_stage> |
| 390 | void fft_radix_3_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 391 | { |
| 392 | const unsigned int Nx3 = 3 * Nx; |
| 393 | const float alpha = 2 * PI / float(Nx3); |
| 394 | float32x2_t w{ 1, 0 }; |
| 395 | const float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 396 | |
| 397 | for(unsigned int j = 0; j < Nx; j++) |
| 398 | { |
| 399 | const auto w2 = c_mul_neon(w, w); |
| 400 | |
| 401 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx3) |
| 402 | { |
| 403 | // Load inputs |
| 404 | float32x2_t a = { 0, 0 }; |
| 405 | float32x2_t b = { 0, 0 }; |
| 406 | float32x2_t c = { 0, 0 }; |
| 407 | if(first_stage) |
| 408 | { |
| 409 | const auto ab = wrapper::vloadq(x + k); |
| 410 | a = wrapper::vgetlow(ab); |
| 411 | b = wrapper::vgethigh(ab); |
| 412 | } |
| 413 | else |
| 414 | { |
| 415 | a = wrapper::vload(x + k); |
| 416 | b = wrapper::vload(x + k + 2 * Nx); |
| 417 | } |
| 418 | c = wrapper::vload(x + k + 4 * Nx); |
| 419 | |
| 420 | // Base-case prime transform |
| 421 | fft_3(a, b, c, w, w2); |
| 422 | |
| 423 | if(first_stage) |
| 424 | { |
| 425 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 426 | } |
| 427 | else |
| 428 | { |
| 429 | wrapper::vstore(X + k, a); |
| 430 | wrapper::vstore(X + k + 2 * Nx, b); |
| 431 | } |
| 432 | wrapper::vstore(X + k + 4 * Nx, c); |
| 433 | } |
| 434 | w = c_mul_neon(w, w_m); |
| 435 | } |
| 436 | } |
| 437 | |
| 438 | template <bool first_stage> |
| 439 | void fft_radix_4_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 440 | { |
| 441 | unsigned int Nx4 = 4 * Nx; |
| 442 | const float alpha = 2 * PI / float(Nx4); |
| 443 | |
| 444 | float32x2_t w{ 1, 0 }; |
| 445 | float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 446 | |
| 447 | for(unsigned int j = 0; j < Nx; j++) |
| 448 | { |
| 449 | const auto w2 = c_mul_neon(w, w); |
| 450 | const auto w3 = c_mul_neon(w2, w); |
| 451 | |
| 452 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx4) |
| 453 | { |
| 454 | float32x2_t a = { 0, 0 }; |
| 455 | float32x2_t b = { 0, 0 }; |
| 456 | float32x2_t c = { 0, 0 }; |
| 457 | float32x2_t d = { 0, 0 }; |
| 458 | if(first_stage) |
| 459 | { |
| 460 | const auto ab = wrapper::vloadq(x + k); |
| 461 | const auto cd = wrapper::vloadq(x + k + 4 * Nx); |
| 462 | a = wrapper::vgetlow(ab); |
| 463 | b = wrapper::vgethigh(ab); |
| 464 | c = wrapper::vgetlow(cd); |
| 465 | d = wrapper::vgethigh(cd); |
| 466 | } |
| 467 | else |
| 468 | { |
| 469 | // Load inputs |
| 470 | a = wrapper::vload(x + k); |
| 471 | b = wrapper::vload(x + k + 2 * Nx); |
| 472 | c = wrapper::vload(x + k + 4 * Nx); |
| 473 | d = wrapper::vload(x + k + 6 * Nx); |
| 474 | } |
| 475 | |
| 476 | // Base-case prime transform |
| 477 | fft_4(a, b, c, d, w, w2, w3); |
| 478 | |
| 479 | if(first_stage) |
| 480 | { |
| 481 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 482 | wrapper::vstore(X + k + 4 * Nx, wrapper::vcombine(c, d)); |
| 483 | } |
| 484 | else |
| 485 | { |
| 486 | wrapper::vstore(X + k, a); |
| 487 | wrapper::vstore(X + k + 2 * Nx, b); |
| 488 | wrapper::vstore(X + k + 4 * Nx, c); |
| 489 | wrapper::vstore(X + k + 6 * Nx, d); |
| 490 | } |
| 491 | } |
| 492 | |
| 493 | w = c_mul_neon(w, w_m); |
| 494 | } |
| 495 | } |
| 496 | |
| 497 | template <bool first_stage> |
| 498 | void fft_radix_5_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 499 | { |
| 500 | unsigned int Nx5 = 5 * Nx; |
| 501 | const float alpha = 2 * PI / float(Nx5); |
| 502 | |
| 503 | float32x2_t w{ 1, 0 }; |
| 504 | float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 505 | |
| 506 | for(unsigned int j = 0; j < Nx; j++) |
| 507 | { |
| 508 | const float32x2_t w2 = c_mul_neon(w, w); |
| 509 | const float32x2_t w3 = c_mul_neon(w2, w); |
| 510 | const float32x2_t w4 = c_mul_neon(w3, w); |
| 511 | |
| 512 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx5) |
| 513 | { |
| 514 | float32x2_t a = { 0, 0 }; |
| 515 | float32x2_t b = { 0, 0 }; |
| 516 | float32x2_t c = { 0, 0 }; |
| 517 | float32x2_t d = { 0, 0 }; |
| 518 | float32x2_t e = { 0, 0 }; |
| 519 | |
| 520 | // Load inputs |
| 521 | if(first_stage) |
| 522 | { |
| 523 | const auto ab = wrapper::vloadq(x + k); |
| 524 | const auto cd = wrapper::vloadq(x + k + 4 * Nx); |
| 525 | |
| 526 | a = wrapper::vgetlow(ab); |
| 527 | b = wrapper::vgethigh(ab); |
| 528 | c = wrapper::vgetlow(cd); |
| 529 | d = wrapper::vgethigh(cd); |
| 530 | } |
| 531 | else |
| 532 | { |
| 533 | a = wrapper::vload(x + k); |
| 534 | b = wrapper::vload(x + k + 2 * Nx); |
| 535 | c = wrapper::vload(x + k + 4 * Nx); |
| 536 | d = wrapper::vload(x + k + 6 * Nx); |
| 537 | } |
| 538 | e = wrapper::vload(x + k + 8 * Nx); |
| 539 | |
| 540 | // Base-case prime transform |
| 541 | fft_5(a, b, c, d, e, w, w2, w3, w4); |
| 542 | |
| 543 | // Store outputs |
| 544 | if(first_stage) |
| 545 | { |
| 546 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 547 | wrapper::vstore(X + k + 4 * Nx, wrapper::vcombine(c, d)); |
| 548 | } |
| 549 | else |
| 550 | { |
| 551 | wrapper::vstore(X + k, a); |
| 552 | wrapper::vstore(X + k + 2 * Nx, b); |
| 553 | wrapper::vstore(X + k + 4 * Nx, c); |
| 554 | wrapper::vstore(X + k + 6 * Nx, d); |
| 555 | } |
| 556 | wrapper::vstore(X + k + 8 * Nx, e); |
| 557 | } |
| 558 | |
| 559 | w = c_mul_neon(w, w_m); |
| 560 | } |
| 561 | } |
| 562 | |
| 563 | template <bool first_stage> |
| 564 | void fft_radix_7_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 565 | { |
| 566 | unsigned int Nx7 = 7 * Nx; |
| 567 | const float alpha = 2 * PI / float(Nx7); |
| 568 | |
| 569 | float32x2_t w{ 1, 0 }; |
| 570 | float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 571 | |
| 572 | for(unsigned int j = 0; j < Nx; j++) |
| 573 | { |
| 574 | const float32x2_t w2 = c_mul_neon(w, w); |
| 575 | const float32x2_t w3 = c_mul_neon(w2, w); |
| 576 | const float32x2_t w4 = c_mul_neon(w3, w); |
| 577 | const float32x2_t w5 = c_mul_neon(w4, w); |
| 578 | const float32x2_t w6 = c_mul_neon(w5, w); |
| 579 | |
| 580 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx7) |
| 581 | { |
| 582 | float32x2_t a = { 0, 0 }; |
| 583 | float32x2_t b = { 0, 0 }; |
| 584 | float32x2_t c = { 0, 0 }; |
| 585 | float32x2_t d = { 0, 0 }; |
| 586 | float32x2_t e = { 0, 0 }; |
| 587 | float32x2_t f = { 0, 0 }; |
| 588 | float32x2_t g = { 0, 0 }; |
| 589 | |
| 590 | // Load inputs |
| 591 | if(first_stage) |
| 592 | { |
| 593 | const auto ab = wrapper::vloadq(x + k); |
| 594 | const auto cd = wrapper::vloadq(x + k + 4 * Nx); |
| 595 | const auto ef = wrapper::vloadq(x + k + 8 * Nx); |
| 596 | |
| 597 | a = wrapper::vgetlow(ab); |
| 598 | b = wrapper::vgethigh(ab); |
| 599 | c = wrapper::vgetlow(cd); |
| 600 | d = wrapper::vgethigh(cd); |
| 601 | e = wrapper::vgetlow(ef); |
| 602 | f = wrapper::vgethigh(ef); |
| 603 | } |
| 604 | else |
| 605 | { |
| 606 | a = wrapper::vload(x + k); |
| 607 | b = wrapper::vload(x + k + 2 * Nx); |
| 608 | c = wrapper::vload(x + k + 4 * Nx); |
| 609 | d = wrapper::vload(x + k + 6 * Nx); |
| 610 | e = wrapper::vload(x + k + 8 * Nx); |
| 611 | f = wrapper::vload(x + k + 10 * Nx); |
| 612 | } |
| 613 | g = wrapper::vload(x + k + 12 * Nx); |
| 614 | |
| 615 | // Base-case prime transform |
| 616 | fft_7(a, b, c, d, e, f, g, w, w2, w3, w4, w5, w6); |
| 617 | |
| 618 | if(first_stage) |
| 619 | { |
| 620 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 621 | wrapper::vstore(X + k + 4 * Nx, wrapper::vcombine(c, d)); |
| 622 | wrapper::vstore(X + k + 8 * Nx, wrapper::vcombine(e, f)); |
| 623 | } |
| 624 | else |
| 625 | { |
| 626 | wrapper::vstore(X + k, a); |
| 627 | wrapper::vstore(X + k + 2 * Nx, b); |
| 628 | wrapper::vstore(X + k + 4 * Nx, c); |
| 629 | wrapper::vstore(X + k + 6 * Nx, d); |
| 630 | wrapper::vstore(X + k + 8 * Nx, e); |
| 631 | wrapper::vstore(X + k + 10 * Nx, f); |
| 632 | } |
| 633 | wrapper::vstore(X + k + 12 * Nx, g); |
| 634 | } |
| 635 | |
| 636 | w = c_mul_neon(w, w_m); |
| 637 | } |
| 638 | } |
| 639 | |
| 640 | template <bool first_stage> |
| 641 | void fft_radix_8_axes_0(float *X, float *x, unsigned int Nx, unsigned int N) |
| 642 | { |
| 643 | unsigned int Nx8 = 8 * Nx; |
| 644 | const float alpha = 2 * PI / float(Nx8); |
| 645 | |
| 646 | float32x2_t w{ 1, 0 }; |
| 647 | const float32x2_t w_m{ cosf(alpha), -sinf(alpha) }; |
| 648 | |
| 649 | for(unsigned int j = 0; j < Nx; j++) |
| 650 | { |
| 651 | const float32x2_t w2 = c_mul_neon(w, w); |
| 652 | const float32x2_t w3 = c_mul_neon(w2, w); |
| 653 | const float32x2_t w4 = c_mul_neon(w3, w); |
| 654 | const float32x2_t w5 = c_mul_neon(w4, w); |
| 655 | const float32x2_t w6 = c_mul_neon(w5, w); |
| 656 | const float32x2_t w7 = c_mul_neon(w6, w); |
| 657 | |
| 658 | for(unsigned int k = 2 * j; k < 2 * N; k += 2 * Nx8) |
| 659 | { |
| 660 | // Load inputs |
| 661 | float32x2_t a = { 0, 0 }; |
| 662 | float32x2_t b = { 0, 0 }; |
| 663 | float32x2_t c = { 0, 0 }; |
| 664 | float32x2_t d = { 0, 0 }; |
| 665 | float32x2_t e = { 0, 0 }; |
| 666 | float32x2_t f = { 0, 0 }; |
| 667 | float32x2_t g = { 0, 0 }; |
| 668 | float32x2_t h = { 0, 0 }; |
| 669 | |
| 670 | // Base-case prime transform |
| 671 | if(first_stage) |
| 672 | { |
| 673 | const auto ab = wrapper::vloadq(x + k); |
| 674 | const auto cd = wrapper::vloadq(x + k + 4 * Nx); |
| 675 | const auto ef = wrapper::vloadq(x + k + 8 * Nx); |
| 676 | const auto gh = wrapper::vloadq(x + k + 12 * Nx); |
| 677 | |
| 678 | a = wrapper::vgetlow(ab); |
| 679 | b = wrapper::vgethigh(ab); |
| 680 | c = wrapper::vgetlow(cd); |
| 681 | d = wrapper::vgethigh(cd); |
| 682 | e = wrapper::vgetlow(ef); |
| 683 | f = wrapper::vgethigh(ef); |
| 684 | g = wrapper::vgetlow(gh); |
| 685 | h = wrapper::vgethigh(gh); |
| 686 | } |
| 687 | else |
| 688 | { |
| 689 | a = wrapper::vload(x + k); |
| 690 | b = wrapper::vload(x + k + 2 * Nx); |
| 691 | c = wrapper::vload(x + k + 4 * Nx); |
| 692 | d = wrapper::vload(x + k + 6 * Nx); |
| 693 | e = wrapper::vload(x + k + 8 * Nx); |
| 694 | f = wrapper::vload(x + k + 10 * Nx); |
| 695 | g = wrapper::vload(x + k + 12 * Nx); |
| 696 | h = wrapper::vload(x + k + 14 * Nx); |
| 697 | } |
| 698 | |
| 699 | // Apply twiddle factors |
| 700 | fft_8(a, b, c, d, e, f, g, h, w, w2, w3, w4, w5, w6, w7); |
| 701 | |
| 702 | // Store outputs |
| 703 | if(first_stage) |
| 704 | { |
| 705 | wrapper::vstore(X + k, wrapper::vcombine(a, b)); |
| 706 | wrapper::vstore(X + k + 4 * Nx, wrapper::vcombine(c, d)); |
| 707 | wrapper::vstore(X + k + 8 * Nx, wrapper::vcombine(e, f)); |
| 708 | wrapper::vstore(X + k + 12 * Nx, wrapper::vcombine(g, h)); |
| 709 | } |
| 710 | else |
| 711 | { |
| 712 | wrapper::vstore(X + k, a); |
| 713 | wrapper::vstore(X + k + 2 * Nx, b); |
| 714 | wrapper::vstore(X + k + 4 * Nx, c); |
| 715 | wrapper::vstore(X + k + 6 * Nx, d); |
| 716 | wrapper::vstore(X + k + 8 * Nx, e); |
| 717 | wrapper::vstore(X + k + 10 * Nx, f); |
| 718 | wrapper::vstore(X + k + 12 * Nx, g); |
| 719 | wrapper::vstore(X + k + 14 * Nx, h); |
| 720 | } |
| 721 | } |
| 722 | |
| 723 | w = c_mul_neon(w, w_m); |
| 724 | } |
| 725 | } |
| 726 | |
| 727 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const FFTRadixStageKernelInfo &config) |
| 728 | { |
| 729 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 2, DataType::F32); |
| 730 | ARM_COMPUTE_RETURN_ERROR_ON(config.axis != 0); |
| 731 | ARM_COMPUTE_RETURN_ERROR_ON(NEFFTRadixStageKernel::supported_radix().count(config.radix) == 0); |
| 732 | |
| 733 | // Checks performed when output is configured |
| 734 | if((output != nullptr) && (output->total_size() != 0)) |
| 735 | { |
| 736 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| 737 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 738 | } |
| 739 | |
| 740 | return Status{}; |
| 741 | } |
| 742 | |
| 743 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const FFTRadixStageKernelInfo &config) |
| 744 | { |
| 745 | if(output != nullptr) |
| 746 | { |
| 747 | auto_init_if_empty(*output, *input); |
| 748 | } |
| 749 | |
| 750 | Window win = calculate_max_window(*input, Steps(config.radix)); |
| 751 | if(output != nullptr) |
| 752 | { |
| 753 | output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); |
| 754 | } |
| 755 | |
| 756 | return std::make_pair(Status{}, win); |
| 757 | } |
| 758 | } // namespace |
| 759 | |
| 760 | NEFFTRadixStageKernel::NEFFTRadixStageKernel() |
| 761 | : _input(nullptr), _output(nullptr), _run_in_place(false), _Nx(0), _func() |
| 762 | { |
| 763 | } |
| 764 | |
| 765 | template <bool first_stage> |
| 766 | void NEFFTRadixStageKernel::set_radix_stage_fun(unsigned int radix) |
| 767 | { |
| 768 | switch(radix) |
| 769 | { |
| 770 | case 2: |
| 771 | _func = &fft_radix_2_axes_0<first_stage>; |
| 772 | break; |
| 773 | case 3: |
| 774 | _func = &fft_radix_3_axes_0<first_stage>; |
| 775 | break; |
| 776 | case 4: |
| 777 | _func = &fft_radix_4_axes_0<first_stage>; |
| 778 | break; |
| 779 | case 5: |
| 780 | _func = &fft_radix_5_axes_0<first_stage>; |
| 781 | break; |
| 782 | case 7: |
| 783 | _func = &fft_radix_7_axes_0<first_stage>; |
| 784 | break; |
| 785 | case 8: |
| 786 | _func = &fft_radix_8_axes_0<first_stage>; |
| 787 | break; |
| 788 | default: |
| 789 | ARM_COMPUTE_ERROR("Radix not supported"); |
| 790 | } |
| 791 | } |
| 792 | |
| 793 | void NEFFTRadixStageKernel::configure(ITensor *input, ITensor *output, const FFTRadixStageKernelInfo &config) |
| 794 | { |
| 795 | ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| 796 | |
| 797 | // Output auto inizialitation if not yet initialized |
| 798 | if(output != nullptr) |
| 799 | { |
| 800 | auto_init_if_empty(*output->info(), *input->info()->clone()); |
| 801 | } |
| 802 | |
| 803 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, config)); |
| 804 | |
| 805 | _input = input; |
| 806 | _output = output; |
| 807 | _run_in_place = (output == nullptr) || (output == input); |
| 808 | _Nx = config.Nx; |
| 809 | |
| 810 | if(config.is_first_stage) |
| 811 | { |
| 812 | set_radix_stage_fun<true>(config.radix); |
| 813 | } |
| 814 | else |
| 815 | { |
| 816 | set_radix_stage_fun<false>(config.radix); |
| 817 | } |
| 818 | |
| 819 | // Configure kernel window |
| 820 | auto win_config = validate_and_configure_window(input->info(), (_run_in_place) ? nullptr : output->info(), config); |
| 821 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| 822 | INEKernel::configure(win_config.second); |
| 823 | } |
| 824 | |
| 825 | Status NEFFTRadixStageKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const FFTRadixStageKernelInfo &config) |
| 826 | { |
| 827 | const bool run_in_place = (output == nullptr) || (output == input); |
| 828 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, config)); |
| 829 | ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), |
| 830 | (run_in_place) ? nullptr : output->clone().get(), |
| 831 | config) |
| 832 | .first); |
| 833 | |
| 834 | return Status{}; |
| 835 | } |
| 836 | |
| 837 | std::set<unsigned int> NEFFTRadixStageKernel::supported_radix() |
| 838 | { |
| 839 | return std::set<unsigned int> { 2, 3, 4, 5, 7, 8 }; |
| 840 | } |
| 841 | |
| 842 | void NEFFTRadixStageKernel::run(const Window &window, const ThreadInfo &info) |
| 843 | { |
| 844 | ARM_COMPUTE_UNUSED(info); |
| 845 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 846 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 847 | |
| 848 | Window input_window = window; |
| 849 | input_window.set(Window::DimX, 0); |
| 850 | |
| 851 | unsigned int N = _input->info()->dimension(0); |
| 852 | |
| 853 | Iterator in(_input, input_window); |
| 854 | Iterator out(_run_in_place ? _input : _output, input_window); |
| 855 | |
| 856 | execute_window_loop(input_window, [&](const Coordinates &) |
| 857 | { |
| 858 | _func(reinterpret_cast<float *>(out.ptr()), reinterpret_cast<float *>(in.ptr()), _Nx, N); |
| 859 | }, |
| 860 | in, out); |
| 861 | |
| 862 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 863 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 864 | } |
| 865 | } // namespace arm_compute |