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1 /*
2  * Copyright (c) 2016-2020 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 "src/core/NEON/kernels/NEAccumulateKernel.h"
25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Helpers.h"
28 #include "arm_compute/core/IAccessWindow.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/core/Validate.h"
31 #include "src/core/helpers/AutoConfiguration.h"
32 #include "src/core/helpers/WindowHelpers.h"
33 
34 #include <arm_neon.h>
35 
36 namespace arm_compute
37 {
38 /* Max S16 value used for saturation purposes. */
39 const static uint16x8_t max_int_u16 = vdupq_n_u16(static_cast<uint16_t>(INT16_MAX));
40 
41 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
42 namespace fp16
43 {
convert_u8x16_to_f16x8x2(uint8x16_t input)44 inline float16x8x2_t convert_u8x16_to_f16x8x2(uint8x16_t input)
45 {
46     const float16x8x2_t out =
47     {
48         {
49             vcvtq_f16_u16(vmovl_u8(vget_low_u8(input))),
50             vcvtq_f16_u16(vmovl_u8(vget_high_u8(input)))
51         }
52     };
53 
54     return out;
55 }
56 
convert_f16x8x2_to_u8x16(const float16x8x2_t & input)57 inline uint8x16_t convert_f16x8x2_to_u8x16(const float16x8x2_t &input)
58 {
59     return vcombine_u8(vmovn_u16(vcvtq_u16_f16(input.val[0])),
60                        vmovn_u16(vcvtq_u16_f16(input.val[1])));
61 }
62 
vector_accumulate_weighted(const float16x8x2_t & vec0,const float16x8x2_t & vec1,float16x8_t scale_val,float16x8_t scale_val2)63 inline float16x8x2_t vector_accumulate_weighted(const float16x8x2_t &vec0, const float16x8x2_t &vec1, float16x8_t scale_val, float16x8_t scale_val2)
64 {
65     const float16x8x2_t res =
66     {
67         {
68             vfmaq_f16(vmulq_f16(vec1.val[0], scale_val), vec0.val[0], scale_val2),
69             vfmaq_f16(vmulq_f16(vec1.val[1], scale_val), vec0.val[1], scale_val2)
70         }
71     };
72 
73     return res;
74 }
75 
acc_we_v16_u8(const void * __restrict input,void * __restrict accum,float16x8_t scale_val,float16x8_t scale_val2)76 void acc_we_v16_u8(const void *__restrict input, void *__restrict accum, float16x8_t scale_val, float16x8_t scale_val2)
77 {
78     ARM_COMPUTE_ERROR_ON(nullptr == input);
79     ARM_COMPUTE_ERROR_ON(nullptr == accum);
80 
81     const auto input_ptr = static_cast<const uint8_t *__restrict>(input);
82     const auto accum_ptr = static_cast<uint8_t *__restrict>(accum);
83 
84     const uint8x16x4_t input_buffer = vld4q_u8(input_ptr);
85     uint8x16x4_t       accum_buffer = vld4q_u8(accum_ptr);
86 
87     const float16x8x2_t f16_input_0 = convert_u8x16_to_f16x8x2(input_buffer.val[0]);
88     const float16x8x2_t f16_input_1 = convert_u8x16_to_f16x8x2(input_buffer.val[1]);
89     const float16x8x2_t f16_input_2 = convert_u8x16_to_f16x8x2(input_buffer.val[2]);
90     const float16x8x2_t f16_input_3 = convert_u8x16_to_f16x8x2(input_buffer.val[3]);
91 
92     float16x8x2_t f16_accum_0 = convert_u8x16_to_f16x8x2(accum_buffer.val[0]);
93     float16x8x2_t f16_accum_1 = convert_u8x16_to_f16x8x2(accum_buffer.val[1]);
94     float16x8x2_t f16_accum_2 = convert_u8x16_to_f16x8x2(accum_buffer.val[2]);
95     float16x8x2_t f16_accum_3 = convert_u8x16_to_f16x8x2(accum_buffer.val[3]);
96 
97     f16_accum_0 = vector_accumulate_weighted(f16_input_0, f16_accum_0, scale_val, scale_val2);
98     f16_accum_1 = vector_accumulate_weighted(f16_input_1, f16_accum_1, scale_val, scale_val2);
99     f16_accum_2 = vector_accumulate_weighted(f16_input_2, f16_accum_2, scale_val, scale_val2);
100     f16_accum_3 = vector_accumulate_weighted(f16_input_3, f16_accum_3, scale_val, scale_val2);
101 
102     accum_buffer = { {
103             convert_f16x8x2_to_u8x16(f16_accum_0),
104             convert_f16x8x2_to_u8x16(f16_accum_1),
105             convert_f16x8x2_to_u8x16(f16_accum_2),
106             convert_f16x8x2_to_u8x16(f16_accum_3)
107         }
108     };
109 
110     vst4q_u8(accum_ptr, accum_buffer);
111 }
112 } // namespace fp16
113 
run(const Window & window,const ThreadInfo & info)114 void NEAccumulateWeightedFP16Kernel::run(const Window &window, const ThreadInfo &info)
115 {
116     ARM_COMPUTE_UNUSED(info);
117     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
118     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
119 
120     Iterator input(_input, window);
121     Iterator accum(_output, window);
122 
123     const float16x8_t scale_val  = vdupq_n_f16(1.f - _alpha);
124     const float16x8_t scale_val2 = vdupq_n_f16(_alpha);
125 
126     execute_window_loop(window, [&](const Coordinates &)
127     {
128         fp16::acc_we_v16_u8(input.ptr(), accum.ptr(), scale_val, scale_val2);
129     },
130     input, accum);
131 }
132 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
133 
134 namespace
135 {
acc_v16_u8(const void * __restrict input,void * __restrict accum)136 inline void acc_v16_u8(const void *__restrict input, void *__restrict accum)
137 {
138     ARM_COMPUTE_ERROR_ON(nullptr == input);
139     ARM_COMPUTE_ERROR_ON(nullptr == accum);
140 
141     const auto in  = static_cast<const uint8_t *__restrict>(input);
142     const auto out = static_cast<int16_t *__restrict>(accum);
143 
144     uint8x16_t ta1 = vld1q_u8(in);
145     int16x8_t  ta2 = vld1q_s16(out);
146     int16x8_t  ta3 = vld1q_s16(out + 8);
147 
148     ta2 = vqaddq_s16(ta2, vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(ta1))));
149     ta3 = vqaddq_s16(ta3, vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(ta1))));
150 
151     vst1q_s16(out, ta2);
152     vst1q_s16(out + 8, ta3);
153 }
154 
convert_u8x16_to_f32x4x4(uint8x16_t input)155 inline float32x4x4_t convert_u8x16_to_f32x4x4(uint8x16_t input)
156 {
157     const uint16x8_t u16_output_low = vmovl_u8(vget_low_u8(input));
158     const uint16x8_t u16_output_hi  = vmovl_u8(vget_high_u8(input));
159 
160     const float32x4x4_t res =
161     {
162         {
163             vcvtq_f32_u32(vmovl_u16(vget_low_u16(u16_output_low))),
164             vcvtq_f32_u32(vmovl_u16(vget_high_u16(u16_output_low))),
165             vcvtq_f32_u32(vmovl_u16(vget_low_u16(u16_output_hi))),
166             vcvtq_f32_u32(vmovl_u16(vget_high_u16(u16_output_hi)))
167         }
168     };
169 
170     return res;
171 }
172 
convert_f32x4x4_to_u8x16(const float32x4x4_t & input)173 inline uint8x16_t convert_f32x4x4_to_u8x16(const float32x4x4_t &input)
174 {
175     return vcombine_u8(vmovn_u16(vcombine_u16(vmovn_u32(vcvtq_u32_f32(input.val[0])),
176                                               vmovn_u32(vcvtq_u32_f32(input.val[1])))),
177                        vmovn_u16(vcombine_u16(vmovn_u32(vcvtq_u32_f32(input.val[2])),
178                                               vmovn_u32(vcvtq_u32_f32(input.val[3])))));
179 }
180 
vector_accumulate_weighted(const float32x4x4_t & vector_input,float32x4x4_t vector_output,float32x4_t scale_val,float32x4_t scale_val2)181 inline float32x4x4_t vector_accumulate_weighted(const float32x4x4_t &vector_input, float32x4x4_t vector_output, float32x4_t scale_val, float32x4_t scale_val2)
182 {
183     vector_output.val[0] = vmulq_f32(vector_output.val[0], scale_val);
184     vector_output.val[1] = vmulq_f32(vector_output.val[1], scale_val);
185     vector_output.val[2] = vmulq_f32(vector_output.val[2], scale_val);
186     vector_output.val[3] = vmulq_f32(vector_output.val[3], scale_val);
187 
188     vector_output.val[0] = vmlaq_f32(vector_output.val[0], vector_input.val[0], scale_val2);
189     vector_output.val[1] = vmlaq_f32(vector_output.val[1], vector_input.val[1], scale_val2);
190     vector_output.val[2] = vmlaq_f32(vector_output.val[2], vector_input.val[2], scale_val2);
191     vector_output.val[3] = vmlaq_f32(vector_output.val[3], vector_input.val[3], scale_val2);
192 
193     return vector_output;
194 }
195 
acc_we_v16_u8(const void * __restrict input,void * __restrict accum,const float32x4_t scale_val,const float32x4_t scale_val2)196 inline void acc_we_v16_u8(const void *__restrict input, void *__restrict accum, const float32x4_t scale_val, const float32x4_t scale_val2)
197 {
198     ARM_COMPUTE_ERROR_ON(nullptr == input);
199     ARM_COMPUTE_ERROR_ON(nullptr == accum);
200 
201     const auto input_ptr = static_cast<const uint8_t *__restrict>(input);
202     const auto accum_ptr = static_cast<uint8_t *__restrict>(accum);
203 
204     const uint8x16_t input_buffer = vld1q_u8(input_ptr);
205     const uint8x16_t accum_buffer = vld1q_u8(accum_ptr);
206 
207     const float32x4x4_t f32_input_0  = convert_u8x16_to_f32x4x4(input_buffer);
208     const float32x4x4_t f32_output_0 = convert_u8x16_to_f32x4x4(accum_buffer);
209 
210     const float32x4x4_t f32_res_0 = vector_accumulate_weighted(f32_input_0, f32_output_0, scale_val, scale_val2);
211 
212     vst1q_u8(accum_ptr, convert_f32x4x4_to_u8x16(f32_res_0));
213 }
214 
acc_sq_v16_u8(const void * __restrict input,uint32_t shift,void * __restrict accum)215 void acc_sq_v16_u8(const void *__restrict input, uint32_t shift, void *__restrict accum)
216 {
217     ARM_COMPUTE_ERROR_ON(nullptr == input);
218     ARM_COMPUTE_ERROR_ON(nullptr == accum);
219     ARM_COMPUTE_ERROR_ON(shift > 15);
220 
221     const auto input_buffer = static_cast<const uint8_t *__restrict>(input);
222     const auto accum_buffer = static_cast<int16_t *__restrict>(accum);
223 
224     const uint8x16_t ta1 = vld1q_u8(input_buffer);
225     uint16x8_t       ta2 = vreinterpretq_u16_s16(vld1q_s16(accum_buffer));
226     uint16x8_t       ta3 = vreinterpretq_u16_s16(vld1q_s16(accum_buffer + 8));
227 
228     const int16x8_t vector_shift = vdupq_n_s16(-static_cast<int16_t>(shift));
229 
230     uint16x8_t linput = vmovl_u8(vget_low_u8(ta1));
231     uint16x8_t hinput = vmovl_u8(vget_high_u8(ta1));
232 
233     linput = vmulq_u16(linput, linput);
234     hinput = vmulq_u16(hinput, hinput);
235 
236     linput = vqshlq_u16(linput, vector_shift);
237     hinput = vqshlq_u16(hinput, vector_shift);
238 
239     ta2 = vqaddq_u16(ta2, linput);
240     ta3 = vqaddq_u16(ta3, hinput);
241 
242     vst1q_s16(accum_buffer, vreinterpretq_s16_u16(vminq_u16(max_int_u16, ta2)));
243     vst1q_s16(accum_buffer + 8, vreinterpretq_s16_u16(vminq_u16(max_int_u16, ta3)));
244 }
245 } // namespace
246 
configure(const ITensor * input,ITensor * accum)247 void NEAccumulateKernel::configure(const ITensor *input, ITensor *accum)
248 {
249     ARM_COMPUTE_ERROR_ON_NULLPTR(input, accum);
250 
251     set_shape_if_empty(*accum->info(), input->info()->tensor_shape());
252 
253     set_format_if_unknown(*accum->info(), Format::S16);
254 
255     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
256     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::S16);
257     ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, accum);
258 
259     constexpr unsigned int num_elems_processed_per_iteration = 16;
260     INESimpleKernel::configure(input, accum, num_elems_processed_per_iteration);
261 }
262 
run(const Window & window,const ThreadInfo & info)263 void NEAccumulateKernel::run(const Window &window, const ThreadInfo &info)
264 {
265     ARM_COMPUTE_UNUSED(info);
266     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
267     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
268     Iterator input(_input, window);
269     Iterator accum(_output, window);
270 
271     execute_window_loop(window, [&](const Coordinates &)
272     {
273         acc_v16_u8(input.ptr(), accum.ptr());
274     },
275     input, accum);
276 }
277 
NEAccumulateWeightedKernel()278 NEAccumulateWeightedKernel::NEAccumulateWeightedKernel()
279     : _alpha(0.0f)
280 {
281 }
282 
configure(const ITensor * input,float alpha,ITensor * accum)283 void NEAccumulateWeightedKernel::configure(const ITensor *input, float alpha, ITensor *accum)
284 {
285     ARM_COMPUTE_ERROR_ON_NULLPTR(input, accum);
286 
287     set_shape_if_empty(*accum->info(), input->info()->tensor_shape());
288 
289     set_format_if_unknown(*accum->info(), Format::U8);
290 
291     ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, accum);
292     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
293     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::U8);
294     ARM_COMPUTE_ERROR_ON(alpha < 0.0 || alpha > 1.0);
295 
296     _alpha = alpha;
297 
298     constexpr unsigned int num_elems_processed_per_iteration = 16;
299     INESimpleKernel::configure(input, accum, num_elems_processed_per_iteration);
300 }
301 
run(const Window & window,const ThreadInfo & info)302 void NEAccumulateWeightedKernel::run(const Window &window, const ThreadInfo &info)
303 {
304     ARM_COMPUTE_UNUSED(info);
305     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
306     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
307 
308     Iterator input(_input, window);
309     Iterator accum(_output, window);
310 
311     const float32x4_t scale_val  = vdupq_n_f32(1.f - _alpha);
312     const float32x4_t scale_val2 = vdupq_n_f32(_alpha);
313 
314     execute_window_loop(window, [&](const Coordinates &)
315     {
316         acc_we_v16_u8(input.ptr(), accum.ptr(), scale_val, scale_val2);
317     },
318     input, accum);
319 }
320 
NEAccumulateSquaredKernel()321 NEAccumulateSquaredKernel::NEAccumulateSquaredKernel()
322     : _shift(0)
323 {
324 }
325 
configure(const ITensor * input,uint32_t shift,ITensor * accum)326 void NEAccumulateSquaredKernel::configure(const ITensor *input, uint32_t shift, ITensor *accum)
327 {
328     ARM_COMPUTE_ERROR_ON_NULLPTR(input, accum);
329 
330     set_shape_if_empty(*accum->info(), input->info()->tensor_shape());
331 
332     set_format_if_unknown(*accum->info(), Format::S16);
333 
334     ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, accum);
335     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
336     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::S16);
337     ARM_COMPUTE_ERROR_ON(shift > 15);
338 
339     _shift = shift;
340 
341     constexpr unsigned int num_elems_processed_per_iteration = 16;
342     INESimpleKernel::configure(input, accum, num_elems_processed_per_iteration);
343 }
344 
run(const Window & window,const ThreadInfo & info)345 void NEAccumulateSquaredKernel::run(const Window &window, const ThreadInfo &info)
346 {
347     ARM_COMPUTE_UNUSED(info);
348     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
349     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
350     Iterator input(_input, window);
351     Iterator accum(_output, window);
352 
353     execute_window_loop(window, [&](const Coordinates &)
354     {
355         acc_sq_v16_u8(input.ptr(), _shift, accum.ptr());
356     },
357     input, accum);
358 }
359 } // namespace arm_compute