1 /*
2 * Copyright (c) 2020-2022 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
25 #include "src/cpu/kernels/add/generic/neon/impl.h"
26 #include "arm_compute/core/Helpers.h"
27 #include "arm_compute/core/utils/misc/Traits.h"
28 #include "src/core/NEON/wrapper/wrapper.h"
29 namespace arm_compute
30 {
31 namespace cpu
32 {
33 template <typename ScalarType>
add_same_neon(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window)34 void add_same_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window)
35 {
36 /** SIMD vector tag type. */
37 using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<ScalarType, wrapper::traits::BitWidth::W128>;
38
39 // Create input windows
40 Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape());
41 Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape());
42
43 // Clear X Dimension on execution window as we handle manually
44 Window win = window;
45 win.set(Window::DimX, Window::Dimension(0, 1, 1));
46
47 constexpr int window_step_x = 16 / sizeof(ScalarType);
48 const auto window_start_x = static_cast<int>(window.x().start());
49 const auto window_end_x = static_cast<int>(window.x().end());
50 const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x();
51
52 if(is_broadcast_across_x)
53 {
54 const bool is_broadcast_input_2 = input2_win.x().step() == 0;
55 Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;
56 Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;
57 const ITensor *broadcast_tensor = is_broadcast_input_2 ? src1 : src0;
58 const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0;
59
60 // Clear X Dimension on execution window as we handle manually
61 non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1));
62
63 Iterator broadcast_input(broadcast_tensor, broadcast_win);
64 Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);
65 Iterator output(dst, win);
66
67 execute_window_loop(
68 win, [&](const Coordinates &)
69 {
70 const auto non_broadcast_input_ptr = reinterpret_cast<const ScalarType *>(non_broadcast_input.ptr());
71 const auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
72
73 const ScalarType broadcast_value = *reinterpret_cast<const ScalarType *>(broadcast_input.ptr());
74 const auto broadcast_value_vec = wrapper::vdup_n(broadcast_value, ExactTagType{});
75
76 // Compute S elements per iteration
77 int x = window_start_x;
78 for(; x <= (window_end_x - window_step_x); x += window_step_x)
79 {
80 const auto non_broadcast_v = wrapper::vloadq(non_broadcast_input_ptr + x);
81 const auto res = (policy == ConvertPolicy::SATURATE) ? wrapper::vqadd(broadcast_value_vec, non_broadcast_v) : wrapper::vadd(broadcast_value_vec, non_broadcast_v);
82 wrapper::vstore(output_ptr + x, res);
83 }
84
85 // Compute left-over elements
86 for(; x < window_end_x; ++x)
87 {
88 const auto non_broadcast_v = *(non_broadcast_input_ptr + x);
89 *(output_ptr + x) = (policy == ConvertPolicy::SATURATE) ? wrapper::add_sat(broadcast_value, non_broadcast_v) : broadcast_value + non_broadcast_v;
90 }
91 },
92 broadcast_input, non_broadcast_input, output);
93 }
94 else
95 {
96 // Clear X Dimension on execution window as we handle manually
97 input1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
98 input2_win.set(Window::DimX, Window::Dimension(0, 1, 1));
99
100 Iterator input1(src0, input1_win);
101 Iterator input2(src1, input2_win);
102 Iterator output(dst, win);
103
104 execute_window_loop(
105 win, [&](const Coordinates &)
106 {
107 const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr());
108 const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr());
109 const auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
110
111 // Compute S elements per iteration
112 int x = window_start_x;
113 for(; x <= (window_end_x - window_step_x); x += window_step_x)
114 {
115 const auto val1 = wrapper::vloadq(input1_ptr + x);
116 const auto val2 = wrapper::vloadq(input2_ptr + x);
117 const auto res = (policy == ConvertPolicy::SATURATE) ? wrapper::vqadd(val1, val2) : wrapper::vadd(val1, val2);
118 wrapper::vstore(output_ptr + x, res);
119 }
120
121 // Compute left-over elements
122 for(; x < window_end_x; ++x)
123 {
124 const auto val1 = *(input1_ptr + x);
125 const auto val2 = *(input2_ptr + x);
126 *(output_ptr + x) = (policy == ConvertPolicy::SATURATE) ? wrapper::add_sat(val1, val2) : val1 + val2;
127 }
128 },
129 input1, input2, output);
130 }
131 }
132
sub_q8_neon_fixedpoint_possible(const ITensorInfo * src0,const ITensorInfo * src1,const ITensorInfo * dst)133 bool sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
134 {
135 return add_sub_q8_neon_fixedpoint_possible(src0, src1, dst, false);
136 }
137
add_q8_neon_fixedpoint_possible(const ITensorInfo * src0,const ITensorInfo * src1,const ITensorInfo * dst)138 bool add_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
139 {
140 return add_sub_q8_neon_fixedpoint_possible(src0, src1, dst, true);
141 }
142
add_sub_q8_neon_fixedpoint_possible(const ITensorInfo * src0,const ITensorInfo * src1,const ITensorInfo * dst,bool is_addition)143 bool add_sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst, bool is_addition)
144 {
145 const auto iq0 = src0->quantization_info().uniform();
146 const auto iq1 = src1->quantization_info().uniform();
147 const auto oq = dst->quantization_info().uniform();
148
149 const auto scale0 = iq0.scale / oq.scale;
150 const auto scale1 = iq1.scale / oq.scale;
151
152 if(scale0 < -15.f || scale0 > 15.f || scale1 < -15.f || scale1 > 15.f)
153 {
154 // The scale factor cannot be stored as 5.11 signed fixed-point number.
155 return false;
156 }
157
158 const auto offset = float(oq.offset) - scale0 * float(iq0.offset) - scale1 * float(iq1.offset);
159
160 const auto max_acc = is_addition ? ((std::abs(scale0) + std::abs(scale1)) * 256.f + std::abs(offset)) : ((std::abs(scale0) - std::abs(scale1)) * 256.f + std::abs(offset));
161
162 if(max_acc > 1048575.f) // 2^20 - 1
163 {
164 // It might not be possible to store the result as 21.11 signed fixed-point number.
165 return false;
166 }
167
168 return true;
169 }
170
171 template <typename ScalarType>
add_q8_neon_fixedpoint(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window)172 void add_q8_neon_fixedpoint(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window)
173 {
174 add_sub_q8_neon_fixedpoint<ScalarType>(src0, src1, dst, policy, window, true /*is_addition*/);
175 }
176
177 template <typename ScalarType>
add_sub_q8_neon_fixedpoint(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window,bool is_addition)178 void add_sub_q8_neon_fixedpoint(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition)
179 {
180 ARM_COMPUTE_UNUSED(policy);
181
182 const auto in0_info = src0->info();
183 const auto in1_info = src1->info();
184
185 const auto &in0_shape = in0_info->tensor_shape();
186 const auto &in1_shape = in1_info->tensor_shape();
187
188 // Create input windows.
189 Window in0_win = window.broadcast_if_dimension_le_one(in0_shape);
190 Window in1_win = window.broadcast_if_dimension_le_one(in1_shape);
191
192 // Clear the x dimension on the execution window as we process the whole row each iteration.
193 Window win = window;
194 win.set(Window::DimX, Window::Dimension(0, 1, 1));
195
196 constexpr int window_step_x = 16;
197 const auto window_start_x = window.x().start();
198 const auto window_end_x = window.x().end();
199 const auto is_broadcast_across_x = in0_shape.x() != in1_shape.x();
200
201 const auto iq0_info = in0_info->quantization_info().uniform();
202 const auto iq1_info = in1_info->quantization_info().uniform();
203 const auto oq_info = dst->info()->quantization_info().uniform();
204 const auto in0_scale = iq0_info.scale / oq_info.scale;
205 const auto in1_scale = is_addition ? (iq1_info.scale / oq_info.scale) : (-(iq1_info.scale / oq_info.scale));
206 const auto offset = float(oq_info.offset) - in0_scale * float(iq0_info.offset) - in1_scale * float(iq1_info.offset);
207
208 constexpr float _2pow11 = 2048;
209 const auto in0_scale_5p11 = static_cast<int16_t>(support::cpp11::lround(in0_scale * _2pow11));
210 const auto in1_scale_5p11 = static_cast<int16_t>(support::cpp11::lround(in1_scale * _2pow11));
211 const auto offset_21p11 = static_cast<int32_t>(support::cpp11::lround(offset * _2pow11));
212
213 constexpr uint8_t shift_amount_remainder = 3;
214
215 if(is_broadcast_across_x)
216 {
217 // Prefix: a = non-broadcast, b = broadcast.
218
219 const auto is_broadcast_input_1 = in1_win.x().step() == 0;
220 auto a_win = is_broadcast_input_1 ? in0_win : in1_win;
221 auto b_win = is_broadcast_input_1 ? in1_win : in0_win;
222 const auto a_tensor = is_broadcast_input_1 ? src0 : src1;
223 const auto b_tensor = is_broadcast_input_1 ? src1 : src0;
224
225 const auto a_scale_5p11 = is_broadcast_input_1 ? in0_scale_5p11 : in1_scale_5p11;
226 const auto b_scale = is_broadcast_input_1 ? in1_scale : in0_scale;
227 const auto a_vscale_5p11 = wrapper::vdup_n(a_scale_5p11, wrapper::traits::vector_64_tag());
228
229 #ifndef __aarch64__
230 const auto a_scale = is_broadcast_input_1 ? in0_scale : in1_scale;
231 #endif // __aarch64__
232
233 // Clear the x dimension on the execution window as we process the whole row each iteration.
234 a_win.set(Window::DimX, Window::Dimension(0, 1, 1));
235
236 Iterator a_input_it(a_tensor, a_win);
237 Iterator b_input_it(b_tensor, b_win);
238 Iterator out_it(dst, win);
239
240 execute_window_loop(
241 win, [&](const Coordinates &)
242 {
243 const auto a_ptr = reinterpret_cast<const ScalarType *>(a_input_it.ptr());
244 const auto b_ptr = reinterpret_cast<const ScalarType *>(b_input_it.ptr());
245 const auto out_ptr = reinterpret_cast<ScalarType *>(out_it.ptr());
246
247 const auto b_val = *b_ptr;
248 const auto b_scaled = b_scale * b_val;
249 const auto b_scaled_21p11 = static_cast<int32_t>(support::cpp11::lround(b_scaled * _2pow11));
250 const auto b_scaled_offseted_21p11 = b_scaled_21p11 + offset_21p11;
251 const auto b_vscaled_offseted_21p11 = wrapper::vdup_n(b_scaled_offseted_21p11, wrapper::traits::vector_128_tag());
252
253 #ifndef __aarch64__
254 const auto b_scaled_offseted = b_scaled + offset;
255 #endif // __aarch64__
256
257 int x = window_start_x;
258
259 for(; x <= (window_end_x - window_step_x); x += window_step_x)
260 {
261 // Load the input.
262 const auto a_vin_8p0 = wrapper::vloadq(a_ptr + x);
263
264 // Widen the non-broadcast elements to signed 16-bit regardless of the input signedness.
265 const auto a_vin_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(a_vin_8p0)));
266 const auto a_vin_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(a_vin_8p0)));
267
268 // Multiply the non-broadcast elements by the scale factor, add the scaled broadcast elements and the offset.
269 // Widen and store the result in 32-bit integer.
270 const auto vout_21p11_00 = wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgetlow(a_vin_16p0_0), a_vscale_5p11);
271 const auto vout_21p11_01 = wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgethigh(a_vin_16p0_0), a_vscale_5p11);
272 const auto vout_21p11_10 = wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgetlow(a_vin_16p0_1), a_vscale_5p11);
273 const auto vout_21p11_11 = wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgethigh(a_vin_16p0_1), a_vscale_5p11);
274
275 // Remove 3 bits of the fractional part, round, narrow to 16-bit and saturate the result.
276 const auto vout_8p8_0 = wrapper::vcombine(
277 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_00),
278 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_01));
279 const auto vout_8p8_1 = wrapper::vcombine(
280 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_10),
281 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_11));
282
283 // Remove 8 bits of the fractional part, round, narrow to 8-bit and saturate the result.
284 const auto vout_8p0 = wrapper::vcombine(
285 wrapper::vqrshrn<8>(vout_8p8_0),
286 wrapper::vqrshrn<8>(vout_8p8_1));
287
288 // Store the result.
289 wrapper::vstore(out_ptr + x, vout_8p0);
290 }
291
292 // Process the left-over elements.
293 for(; x < window_end_x; ++x)
294 {
295 #ifdef __aarch64__
296 out_ptr[x] = wrapper::vqrshrn<8>(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(int32_t(a_ptr[x]) * a_scale_5p11 + b_scaled_offseted_21p11));
297 #else // __aarch64__
298 out_ptr[x] = utility::clamp<int, ScalarType>(support::cpp11::lround(float(a_ptr[x]) * a_scale + b_scaled_offseted));
299 #endif // __aarch64__
300 }
301 },
302 b_input_it, a_input_it, out_it);
303 }
304 else
305 {
306 const auto vscale0_5p11 = wrapper::vdup_n(in0_scale_5p11, wrapper::traits::vector_64_tag());
307 const auto vscale1_5p11 = wrapper::vdup_n(in1_scale_5p11, wrapper::traits::vector_64_tag());
308 const auto voffset_21p11 = wrapper::vdup_n(offset_21p11, wrapper::traits::vector_128_tag());
309
310 // Clear the x dimension on the execution window as we process the whole row each iteration.
311 in0_win.set(Window::DimX, Window::Dimension(0, 1, 1));
312 in1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
313
314 Iterator in0_it(src0, in0_win);
315 Iterator in1_it(src1, in1_win);
316 Iterator out_it(dst, win);
317
318 execute_window_loop(
319 win, [&](const Coordinates &)
320 {
321 const auto in0_ptr = reinterpret_cast<const ScalarType *>(in0_it.ptr());
322 const auto in1_ptr = reinterpret_cast<const ScalarType *>(in1_it.ptr());
323 const auto out_ptr = reinterpret_cast<ScalarType *>(out_it.ptr());
324
325 int x = window_start_x;
326
327 for(; x <= (window_end_x - window_step_x); x += window_step_x)
328 {
329 // Load the inputs.
330 const auto vin0_8p0 = wrapper::vloadq(in0_ptr + x);
331 const auto vin1_8p0 = wrapper::vloadq(in1_ptr + x);
332
333 // Widen the input elements to signed 16-bit regardless of the input signedness.
334 const auto vin0_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(vin0_8p0)));
335 const auto vin0_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(vin0_8p0)));
336 const auto vin1_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(vin1_8p0)));
337 const auto vin1_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(vin1_8p0)));
338
339 // Multiply the input elements by the scale factor and add the offset.
340 // Widen and store the result in 32-bit integer.
341 const auto vscaled0_offseted_21p11_00 = wrapper::vmlal(voffset_21p11, wrapper::vgetlow(vin0_16p0_0), vscale0_5p11);
342 const auto vscaled0_offseted_21p11_01 = wrapper::vmlal(voffset_21p11, wrapper::vgethigh(vin0_16p0_0), vscale0_5p11);
343 const auto vscaled0_offseted_21p11_10 = wrapper::vmlal(voffset_21p11, wrapper::vgetlow(vin0_16p0_1), vscale0_5p11);
344 const auto vscaled0_offseted_21p11_11 = wrapper::vmlal(voffset_21p11, wrapper::vgethigh(vin0_16p0_1), vscale0_5p11);
345
346 const auto vout_21p11_00 = wrapper::vmlal(vscaled0_offseted_21p11_00, wrapper::vgetlow(vin1_16p0_0), vscale1_5p11);
347 const auto vout_21p11_01 = wrapper::vmlal(vscaled0_offseted_21p11_01, wrapper::vgethigh(vin1_16p0_0), vscale1_5p11);
348 const auto vout_21p11_10 = wrapper::vmlal(vscaled0_offseted_21p11_10, wrapper::vgetlow(vin1_16p0_1), vscale1_5p11);
349 const auto vout_21p11_11 = wrapper::vmlal(vscaled0_offseted_21p11_11, wrapper::vgethigh(vin1_16p0_1), vscale1_5p11);
350
351 // Remove 3 bits of the fractional part, round, narrow to 16-bit and saturate the result.
352 const auto vout_8p8_0 = wrapper::vcombine(
353 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_00),
354 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_01));
355 const auto vout_8p8_1 = wrapper::vcombine(
356 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_10),
357 wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_11));
358
359 // Remove 8 bits of the fractional part, round, narrow to 8-bit and saturate the result.
360 const auto vout_8p0 = wrapper::vcombine(
361 wrapper::vqrshrn<8>(vout_8p8_0),
362 wrapper::vqrshrn<8>(vout_8p8_1));
363
364 // Store the result.
365 wrapper::vstore(out_ptr + x, vout_8p0);
366 }
367
368 // Process the left-over elements.
369 for(; x < window_end_x; ++x)
370 {
371 #ifdef __aarch64__
372 out_ptr[x] = wrapper::vqrshrn<8>(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(int32_t(in0_ptr[x]) * in0_scale_5p11 + int32_t(in1_ptr[x]) * in1_scale_5p11 + offset_21p11));
373 #else // __aarch64__
374 out_ptr[x] = utility::clamp<int, ScalarType>(support::cpp11::lround(float(in0_ptr[x]) * in0_scale + float(in1_ptr[x]) * in1_scale + offset));
375 #endif // __aarch64__
376 }
377 },
378 in0_it, in1_it, out_it);
379 }
380 }
381
add_sub_qasymm8_neon(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window,bool is_addition)382 void add_sub_qasymm8_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition)
383 {
384 ARM_COMPUTE_UNUSED(policy);
385
386 // Create input windows
387 Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape());
388 Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape());
389
390 // Clear X Dimension on execution window as we handle manually
391 Window win = window;
392 win.set(Window::DimX, Window::Dimension(0, 1, 1));
393
394 constexpr int window_step_x = 16;
395 const auto window_start_x = static_cast<int>(window.x().start());
396 const auto window_end_x = static_cast<int>(window.x().end());
397 const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x();
398
399 const UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform();
400 const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform();
401 const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform();
402
403 const auto scale1 = iq1_info.scale / oq_info.scale;
404 const auto scale2 = is_addition ? (iq2_info.scale / oq_info.scale) : (-(iq2_info.scale / oq_info.scale));
405 const auto offset = float(oq_info.offset) - scale1 * float(iq1_info.offset) - scale2 * float(iq2_info.offset);
406
407 if(is_broadcast_across_x)
408 {
409 const bool is_broadcast_input_2 = input2_win.x().step() == 0;
410 Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;
411 Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;
412 const ITensor *broadcast_tensor = is_broadcast_input_2 ? src1 : src0;
413 const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0;
414
415 const auto af_scale = is_broadcast_input_2 ? scale1 : scale2;
416 const auto bf_scale = is_broadcast_input_2 ? scale2 : scale1;
417 const auto vscale1 = vdupq_n_f32(af_scale);
418
419 // Clear X Dimension on execution window as we handle manually
420 non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1));
421
422 Iterator broadcast_input(broadcast_tensor, broadcast_win);
423 Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);
424 Iterator output(dst, win);
425
426 execute_window_loop(
427 win, [&](const Coordinates &)
428 {
429 const auto non_broadcast_input_ptr = non_broadcast_input.ptr();
430 const auto output_ptr = output.ptr();
431
432 const auto broadcast_value = *broadcast_input.ptr();
433 const auto bf = vdupq_n_f32(float(broadcast_value) * scale2 + offset);
434 const auto bfs = float(broadcast_value) * bf_scale + offset;
435
436 // Compute S elements per iteration
437 int x = window_start_x;
438 for(; x <= (window_end_x - window_step_x); x += window_step_x)
439 {
440 const uint8x16_t a = vld1q_u8(non_broadcast_input_ptr + x);
441
442 const auto a_u16_0 = vmovl_u8(vget_low_u8(a));
443 const auto a_u16_1 = vmovl_u8(vget_high_u8(a));
444
445 const auto af_0 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_0))), vscale1);
446 const auto af_1 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_0))), vscale1);
447 const auto af_2 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_1))), vscale1);
448 const auto af_3 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_1))), vscale1);
449
450 int32x4_t rf_0{};
451 int32x4_t rf_1{};
452 int32x4_t rf_2{};
453 int32x4_t rf_3{};
454
455 #ifdef __aarch64__
456 rf_0 = vcvtnq_s32_f32(af_0);
457 rf_1 = vcvtnq_s32_f32(af_1);
458 rf_2 = vcvtnq_s32_f32(af_2);
459 rf_3 = vcvtnq_s32_f32(af_3);
460 #else //__aarch64__
461 rf_0 = vcvtq_s32_f32(af_0);
462 rf_1 = vcvtq_s32_f32(af_1);
463 rf_2 = vcvtq_s32_f32(af_2);
464 rf_3 = vcvtq_s32_f32(af_3);
465 #endif //__aarch64__
466
467 const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1)));
468 const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3)));
469 vst1q_u8(output_ptr + x, vcombine_u8(pa, pb));
470 }
471
472 // Compute left-over elements
473 for(; x < window_end_x; ++x)
474 {
475 const auto result = float(non_broadcast_input_ptr[x]) * af_scale + bfs;
476 #ifdef __aarch64__
477 output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::lround(result));
478 #else // __aarch64__
479 output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::trunc(result));
480 #endif // __aarch64__
481 }
482 },
483 broadcast_input, non_broadcast_input, output);
484 }
485 else
486 {
487 // Clear X Dimension on execution window as we handle manually
488 input1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
489 input2_win.set(Window::DimX, Window::Dimension(0, 1, 1));
490
491 Iterator input1(src0, input1_win);
492 Iterator input2(src1, input2_win);
493 Iterator output(dst, win);
494
495 const auto vscale1 = vdupq_n_f32(scale1);
496 const auto vscale2 = vdupq_n_f32(scale2);
497 const auto voffset = vdupq_n_f32(offset);
498
499 execute_window_loop(
500 win, [&](const Coordinates &)
501 {
502 const auto input1_ptr = input1.ptr();
503 const auto input2_ptr = input2.ptr();
504 const auto output_ptr = output.ptr();
505
506 // Compute S elements per iteration
507 int x = window_start_x;
508 for(; x <= (window_end_x - window_step_x); x += window_step_x)
509 {
510 const uint8x16_t a = vld1q_u8(input1_ptr + x);
511 const uint8x16_t b = vld1q_u8(input2_ptr + x);
512
513 const auto a_u16_0 = vmovl_u8(vget_low_u8(a));
514 const auto a_u16_1 = vmovl_u8(vget_high_u8(a));
515 const auto b_u16_0 = vmovl_u8(vget_low_u8(b));
516 const auto b_u16_1 = vmovl_u8(vget_high_u8(b));
517
518 const auto af_0 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_0))), vscale1);
519 const auto af_1 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_0))), vscale1);
520 const auto af_2 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_1))), vscale1);
521 const auto af_3 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_1))), vscale1);
522
523 const auto bf_0 = vmlaq_f32(af_0, vcvtq_f32_u32(vmovl_u16(vget_low_u16(b_u16_0))), vscale2);
524 const auto bf_1 = vmlaq_f32(af_1, vcvtq_f32_u32(vmovl_u16(vget_high_u16(b_u16_0))), vscale2);
525 const auto bf_2 = vmlaq_f32(af_2, vcvtq_f32_u32(vmovl_u16(vget_low_u16(b_u16_1))), vscale2);
526 const auto bf_3 = vmlaq_f32(af_3, vcvtq_f32_u32(vmovl_u16(vget_high_u16(b_u16_1))), vscale2);
527
528 int32x4_t rf_0{};
529 int32x4_t rf_1{};
530 int32x4_t rf_2{};
531 int32x4_t rf_3{};
532
533 #ifdef __aarch64__
534 rf_0 = vcvtnq_s32_f32(bf_0);
535 rf_1 = vcvtnq_s32_f32(bf_1);
536 rf_2 = vcvtnq_s32_f32(bf_2);
537 rf_3 = vcvtnq_s32_f32(bf_3);
538 #else //__aarch64__
539 rf_0 = vcvtq_s32_f32(bf_0);
540 rf_1 = vcvtq_s32_f32(bf_1);
541 rf_2 = vcvtq_s32_f32(bf_2);
542 rf_3 = vcvtq_s32_f32(bf_3);
543 #endif //__aarch64__
544
545 const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1)));
546 const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3)));
547 vst1q_u8(output_ptr + x, vcombine_u8(pa, pb));
548 }
549
550 // Compute left-over elements
551 for(; x < window_end_x; ++x)
552 {
553 const auto result = float(input1_ptr[x]) * scale1 + float(input2_ptr[x]) * scale2 + offset;
554 #ifdef __aarch64__
555 output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::lround(result));
556 #else // __aarch64__
557 output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::trunc(result));
558 #endif // __aarch64__
559 }
560 },
561 input1, input2, output);
562 }
563 }
564
add_sub_qasymm8_signed_neon(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window,bool is_addition)565 void add_sub_qasymm8_signed_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition)
566 {
567 ARM_COMPUTE_UNUSED(policy);
568
569 // Create input windows
570 Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape());
571 Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape());
572
573 // Clear X Dimension on execution window as we handle manually
574 Window win = window;
575 win.set(Window::DimX, Window::Dimension(0, 1, 1));
576
577 constexpr int window_step_x = 16;
578 const auto window_start_x = static_cast<int>(window.x().start());
579 const auto window_end_x = static_cast<int>(window.x().end());
580 const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x();
581
582 const UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform();
583 const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform();
584 const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform();
585
586 const auto scale1 = iq1_info.scale / oq_info.scale;
587 const auto scale2 = is_addition ? (iq2_info.scale / oq_info.scale) : (-(iq2_info.scale / oq_info.scale));
588 const auto offset = float(oq_info.offset) - scale1 * float(iq1_info.offset) - scale2 * float(iq2_info.offset);
589
590 if(is_broadcast_across_x)
591 {
592 const bool is_broadcast_input_2 = input2_win.x().step() == 0;
593 Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;
594 Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;
595 const ITensor *broadcast_tensor = is_broadcast_input_2 ? src1 : src0;
596 const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0;
597
598 const auto af_scale = is_broadcast_input_2 ? scale1 : scale2;
599 const auto bf_scale = is_broadcast_input_2 ? scale2 : scale1;
600 const auto vscale1 = vdupq_n_f32(af_scale);
601
602 // Clear X Dimension on execution window as we handle manually
603 non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1));
604
605 Iterator broadcast_input(broadcast_tensor, broadcast_win);
606 Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);
607 Iterator output(dst, win);
608
609 execute_window_loop(
610 win, [&](const Coordinates &)
611 {
612 const auto non_broadcast_input_ptr = reinterpret_cast<const int8_t *>(non_broadcast_input.ptr());
613 const auto output_ptr = reinterpret_cast<int8_t *>(output.ptr());
614
615 const auto broadcast_value = *reinterpret_cast<const int8_t *>(broadcast_input.ptr());
616 const auto bf = vdupq_n_f32(float(broadcast_value) * scale2 + offset);
617 const auto bfs = float(broadcast_value) * bf_scale + offset;
618
619 // Compute S elements per iteration
620 int x = window_start_x;
621 for(; x <= (window_end_x - window_step_x); x += window_step_x)
622 {
623 const int8x16_t a = vld1q_s8(non_broadcast_input_ptr + x);
624
625 const auto a_s16_0 = vmovl_s8(vget_low_s8(a));
626 const auto a_s16_1 = vmovl_s8(vget_high_s8(a));
627
628 const auto af_0 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_0))), vscale1);
629 const auto af_1 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_0))), vscale1);
630 const auto af_2 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_1))), vscale1);
631 const auto af_3 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_1))), vscale1);
632
633 int32x4_t rf_0{};
634 int32x4_t rf_1{};
635 int32x4_t rf_2{};
636 int32x4_t rf_3{};
637
638 #ifdef __aarch64__
639 rf_0 = vcvtnq_s32_f32(af_0);
640 rf_1 = vcvtnq_s32_f32(af_1);
641 rf_2 = vcvtnq_s32_f32(af_2);
642 rf_3 = vcvtnq_s32_f32(af_3);
643 #else //__aarch64__
644 rf_0 = vcvtq_s32_f32(af_0);
645 rf_1 = vcvtq_s32_f32(af_1);
646 rf_2 = vcvtq_s32_f32(af_2);
647 rf_3 = vcvtq_s32_f32(af_3);
648 #endif //__aarch64__
649
650 const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1)));
651 const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3)));
652 vst1q_s8(output_ptr + x, vcombine_s8(pa, pb));
653 }
654
655 // Compute left-over elements
656 for(; x < window_end_x; ++x)
657 {
658 const auto result = float(non_broadcast_input_ptr[x]) * af_scale + bfs;
659 #ifdef __aarch64__
660 output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::lround(result));
661 #else // __aarch64__
662 output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::trunc(result));
663 #endif // __aarch64__
664 }
665 },
666 broadcast_input, non_broadcast_input, output);
667 }
668 else
669 {
670 // Clear X Dimension on execution window as we handle manually
671 input1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
672 input2_win.set(Window::DimX, Window::Dimension(0, 1, 1));
673
674 Iterator input1(src0, input1_win);
675 Iterator input2(src1, input2_win);
676 Iterator output(dst, win);
677
678 const auto vscale1 = vdupq_n_f32(scale1);
679 const auto vscale2 = vdupq_n_f32(scale2);
680 const auto voffset = vdupq_n_f32(offset);
681
682 execute_window_loop(
683 win, [&](const Coordinates &)
684 {
685 const auto input1_ptr = reinterpret_cast<const int8_t *>(input1.ptr());
686 const auto input2_ptr = reinterpret_cast<const int8_t *>(input2.ptr());
687 const auto output_ptr = reinterpret_cast<int8_t *>(output.ptr());
688
689 // Compute S elements per iteration
690 int x = window_start_x;
691 for(; x <= (window_end_x - window_step_x); x += window_step_x)
692 {
693 const int8x16_t a = vld1q_s8(input1_ptr + x);
694 const int8x16_t b = vld1q_s8(input2_ptr + x);
695
696 const auto a_s16_0 = vmovl_s8(vget_low_s8(a));
697 const auto a_s16_1 = vmovl_s8(vget_high_s8(a));
698 const auto b_s16_0 = vmovl_s8(vget_low_s8(b));
699 const auto b_s16_1 = vmovl_s8(vget_high_s8(b));
700
701 const auto af_0 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_0))), vscale1);
702 const auto af_1 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_0))), vscale1);
703 const auto af_2 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_1))), vscale1);
704 const auto af_3 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_1))), vscale1);
705
706 const auto bf_0 = vmlaq_f32(af_0, vcvtq_f32_s32(vmovl_s16(vget_low_s16(b_s16_0))), vscale2);
707 const auto bf_1 = vmlaq_f32(af_1, vcvtq_f32_s32(vmovl_s16(vget_high_s16(b_s16_0))), vscale2);
708 const auto bf_2 = vmlaq_f32(af_2, vcvtq_f32_s32(vmovl_s16(vget_low_s16(b_s16_1))), vscale2);
709 const auto bf_3 = vmlaq_f32(af_3, vcvtq_f32_s32(vmovl_s16(vget_high_s16(b_s16_1))), vscale2);
710
711 int32x4_t rf_0{};
712 int32x4_t rf_1{};
713 int32x4_t rf_2{};
714 int32x4_t rf_3{};
715
716 #ifdef __aarch64__
717 rf_0 = vcvtnq_s32_f32(bf_0);
718 rf_1 = vcvtnq_s32_f32(bf_1);
719 rf_2 = vcvtnq_s32_f32(bf_2);
720 rf_3 = vcvtnq_s32_f32(bf_3);
721 #else //__aarch64__
722 rf_0 = vcvtq_s32_f32(bf_0);
723 rf_1 = vcvtq_s32_f32(bf_1);
724 rf_2 = vcvtq_s32_f32(bf_2);
725 rf_3 = vcvtq_s32_f32(bf_3);
726 #endif //__aarch64__
727
728 const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1)));
729 const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3)));
730 vst1q_s8(output_ptr + x, vcombine_s8(pa, pb));
731 }
732
733 // Compute left-over elements
734 for(; x < window_end_x; ++x)
735 {
736 const auto result = float(input1_ptr[x]) * scale1 + float(input2_ptr[x]) * scale2 + offset;
737 #ifdef __aarch64__
738 output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::lround(result));
739 #else // __aarch64__
740 output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::trunc(result));
741 #endif // __aarch64__
742 }
743 },
744 input1, input2, output);
745 }
746 }
747
748 template void add_same_neon<float>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
749 template void add_same_neon<uint8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
750 template void add_same_neon<int32_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
751 template void add_same_neon<int16_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
752
753 #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
754 template void add_same_neon<float16_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
755 #endif /* (__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
756
757 template void add_q8_neon_fixedpoint<int8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
758 template void add_q8_neon_fixedpoint<uint8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window);
759
760 template void add_sub_q8_neon_fixedpoint<int8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition);
761 template void add_sub_q8_neon_fixedpoint<uint8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition);
762
763 void add_sub_qasymm8_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition);
764 void add_sub_qasymm8_signed_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window, bool is_addition);
765
766 } // namespace cpu
767 } // namespace arm_compute
768