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1 // Copyright 2015 The Gemmlowp Authors. All Rights Reserved.
2 //
3 // Licensed under the Apache License, Version 2.0 (the "License");
4 // you may not use this file except in compliance with the License.
5 // You may obtain a copy of the License at
6 //
7 //     http://www.apache.org/licenses/LICENSE-2.0
8 //
9 // Unless required by applicable law or agreed to in writing, software
10 // distributed under the License is distributed on an "AS IS" BASIS,
11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 // See the License for the specific language governing permissions and
13 // limitations under the License.
14 
15 // pack_neon.h: optimized NEON specializations of the templates in pack.h.
16 
17 #ifndef GEMMLOWP_INTERNAL_PACK_NEON_H_
18 #define GEMMLOWP_INTERNAL_PACK_NEON_H_
19 
20 #include "pack.h"
21 
22 #include <arm_neon.h>
23 
24 namespace gemmlowp {
25 
26 typedef SideMap<const std::uint8_t, SideMapOrder::WidthMajor>
27     WidthMajorUint8SideMap;
28 
29 template <int Cells>
30 using DepthMajorSideFormatNCells4x2 = KernelSideFormat<CellFormat<4, 2>, Cells>;
31 
32 template <int Cells>
33 class PackingRegisterBlock<
34     WidthMajorUint8SideMap,
35     PackedSideBlock<DepthMajorSideFormatNCells4x2<Cells>>>
36     : public PackingRegisterBlockBase<
37           WidthMajorUint8SideMap,
38           PackedSideBlock<DepthMajorSideFormatNCells4x2<Cells>>> {
39  public:
40   typedef DepthMajorSideFormatNCells4x2<Cells> KernelSideFormat;
41   typedef typename KernelSideFormat::Cell CellFormat;
42   static const int kCells = KernelSideFormat::kCells;
43   static const int kCellWidth = CellFormat::kWidth;
44   static const int kKernelWidth = CellFormat::kWidth * kCells;
45   static const int kCellDepth = CellFormat::kDepth;
46   static const int kCellSize = CellFormat::kSize;
47 
Pack(PackedSideBlock<KernelSideFormat> * dst,int start_width)48   void Pack(PackedSideBlock<KernelSideFormat>* dst, int start_width) {
49     std::uint8_t* dst_ptr = dst->current_data();
50     const std::uint8_t* const src_ptr = this->complete_src_.data();
51     const int stride = this->complete_src_.stride();
52     // Load source WidthMajor data
53     uint8x16_t src_lines[4 * kCells];
54     for (int i = 0; i < 4 * kCells; i++) {
55       src_lines[i] = vld1q_u8(src_ptr + i * stride);
56     }
57     // Reorder the data within registers to make DepthMajor 4x2 cells
58     uint8x16x2_t src_lines_intertwined_2x[2 * kCells];
59     for (int i = 0; i < kCells; i++) {
60       src_lines_intertwined_2x[2 * i] =
61           vzipq_u8(src_lines[4 * i], src_lines[4 * i + 2]);
62       src_lines_intertwined_2x[2 * i + 1] =
63           vzipq_u8(src_lines[4 * i + 1], src_lines[4 * i + 3]);
64     }
65     uint8x16x2_t src_lines_intertwined_4x[2 * kCells];
66     for (int i = 0; i < kCells; i++) {
67       src_lines_intertwined_4x[2 * i] =
68           vzipq_u8(src_lines_intertwined_2x[2 * i].val[0],
69                    src_lines_intertwined_2x[2 * i + 1].val[0]);
70       src_lines_intertwined_4x[2 * i + 1] =
71           vzipq_u8(src_lines_intertwined_2x[2 * i].val[1],
72                    src_lines_intertwined_2x[2 * i + 1].val[1]);
73     }
74     // Store the resulting DepthMajor 4x2 cells in the destination packed block
75     for (int outer = 0; outer < 2; outer++) {
76       for (int inner = 0; inner < 2; inner++) {
77         for (int cell = 0; cell < kCells; cell++) {
78           uint8x8_t value = vget_low_u8(
79               src_lines_intertwined_4x[2 * cell + outer].val[inner]);
80           vst1_u8(dst_ptr, value);
81           dst_ptr += 8;
82         }
83         for (int cell = 0; cell < kCells; cell++) {
84           uint8x8_t value = vget_high_u8(
85               src_lines_intertwined_4x[2 * cell + outer].val[inner]);
86           vst1_u8(dst_ptr, value);
87           dst_ptr += 8;
88         }
89       }
90     }
91     // Compute sums across the depth dimension
92     uint16x8_t sums_of_2_cells[kCells][4];
93     for (int outer = 0; outer < 2; outer++) {
94       for (int inner = 0; inner < 2; inner++) {
95         int i = 2 * outer + inner;
96         for (int cell = 0; cell < kCells; cell++) {
97           sums_of_2_cells[cell][i] = vaddl_u8(
98               vget_low_u8(
99                   src_lines_intertwined_4x[2 * cell + outer].val[inner]),
100               vget_high_u8(
101                   src_lines_intertwined_4x[2 * cell + outer].val[inner]));
102         }
103       }
104     }
105     int32x4_t sums_of_4_cells[kCells][4];
106     for (int i = 0; i < 4; i++) {
107       for (int cell = 0; cell < kCells; cell++) {
108         sums_of_4_cells[cell][i] = vreinterpretq_s32_u32(
109             vaddl_u16(vget_low_u16(sums_of_2_cells[cell][i]),
110                       vget_high_u16(sums_of_2_cells[cell][i])));
111       }
112     }
113     // Update the sums_of_each_slice vector
114     for (int cell = 0; cell < kCells; cell++) {
115       int32x4_t s01 =
116           vaddq_s32(sums_of_4_cells[cell][0], sums_of_4_cells[cell][1]);
117       int32x4_t s23 =
118           vaddq_s32(sums_of_4_cells[cell][2], sums_of_4_cells[cell][3]);
119       int32x4_t s = vaddq_s32(s01, s23);
120       std::int32_t* sums_of_each_slice_ptr =
121           dst->sums_of_each_slice() + start_width + 4 * cell;
122       vst1q_s32(sums_of_each_slice_ptr,
123                 vaddq_s32(s, vld1q_s32(sums_of_each_slice_ptr)));
124     }
125     dst->seek_forward_n_cells(kCells * kRegisterSize / kCellDepth);
126   }
127 };
128 
129 template <int Cells>
130 using WidthMajorSideFormatNCells4x2 =
131     KernelSideFormat<CellFormat<4, 2, CellOrder::WidthMajor>, Cells>;
132 
133 template <int Cells>
134 class PackingRegisterBlock<
135     WidthMajorUint8SideMap,
136     PackedSideBlock<WidthMajorSideFormatNCells4x2<Cells>>>
137     : public PackingRegisterBlockBase<
138           WidthMajorUint8SideMap,
139           PackedSideBlock<WidthMajorSideFormatNCells4x2<Cells>>> {
140  public:
141   typedef WidthMajorSideFormatNCells4x2<Cells> KernelSideFormat;
142   typedef typename KernelSideFormat::Cell CellFormat;
143   static const int kCells = KernelSideFormat::kCells;
144   static const int kCellWidth = CellFormat::kWidth;
145   static const int kKernelWidth = CellFormat::kWidth * kCells;
146   static const int kCellDepth = CellFormat::kDepth;
147   static const int kCellSize = CellFormat::kSize;
148 
Pack(PackedSideBlock<KernelSideFormat> * dst,int start_width)149   void Pack(PackedSideBlock<KernelSideFormat>* dst, int start_width) {
150     std::uint8_t* dst_ptr = dst->current_data();
151     const std::uint8_t* src_ptr = this->complete_src_.data();
152     const int stride = this->complete_src_.stride();
153     // Load source WidthMajor data
154     uint16x8_t src_lines[kCells * 4];
155     for (int i = 0; i < kCells; i++) {
156 // This packing path is used with our current
157 // less-than-8-bit kernel, and the partial unrolling of this loop
158 // results in substantially faster code (thanks to better
159 // register allocation) on Nexus 5.
160 
161 #define GEMMLOWP_UNROLLED_LOOP_ITER(k)                            \
162   src_lines[4 * i + k] = vreinterpretq_u16_u8(vld1q_u8(src_ptr)); \
163   src_ptr += stride;
164 
165       GEMMLOWP_UNROLLED_LOOP_ITER(0)
166       GEMMLOWP_UNROLLED_LOOP_ITER(1)
167       GEMMLOWP_UNROLLED_LOOP_ITER(2)
168       GEMMLOWP_UNROLLED_LOOP_ITER(3)
169 
170 #undef GEMMLOWP_UNROLLED_LOOP_ITER
171     }
172     // Reorder the data within registers to make WidthMajor 4x2 cells
173     uint16x8x2_t src_lines_intertwined_2x[2 * kCells];
174     for (int i = 0; i < kCells; i++) {
175       src_lines_intertwined_2x[2 * i] =
176           vzipq_u16(src_lines[4 * i], src_lines[4 * i + 2]);
177       src_lines_intertwined_2x[2 * i + 1] =
178           vzipq_u16(src_lines[4 * i + 1], src_lines[4 * i + 3]);
179     }
180     uint16x8x2_t src_lines_intertwined_4x[2 * kCells];
181     for (int i = 0; i < kCells; i++) {
182       src_lines_intertwined_4x[2 * i] =
183           vzipq_u16(src_lines_intertwined_2x[2 * i].val[0],
184                     src_lines_intertwined_2x[2 * i + 1].val[0]);
185       src_lines_intertwined_4x[2 * i + 1] =
186           vzipq_u16(src_lines_intertwined_2x[2 * i].val[1],
187                     src_lines_intertwined_2x[2 * i + 1].val[1]);
188     }
189     // Store the resulting WidthMajor 4x2 cells in the destination packed block
190     for (int outer = 0; outer < 2; outer++) {
191       for (int inner = 0; inner < 2; inner++) {
192         for (int cell = 0; cell < kCells; cell++) {
193           uint8x8_t value = vreinterpret_u8_u16(vget_low_u16(
194               src_lines_intertwined_4x[2 * cell + outer].val[inner]));
195           vst1_u8(dst_ptr, value);
196           dst_ptr += 8;
197         }
198         for (int cell = 0; cell < kCells; cell++) {
199           uint8x8_t value = vreinterpret_u8_u16(vget_high_u16(
200               src_lines_intertwined_4x[2 * cell + outer].val[inner]));
201           vst1_u8(dst_ptr, value);
202           dst_ptr += 8;
203         }
204       }
205     }
206     // Compute sums across the depth dimension
207     uint16x8_t sums_of_2[kCells][4];
208     for (int outer = 0; outer < 2; outer++) {
209       for (int inner = 0; inner < 2; inner++) {
210         int i = 2 * outer + inner;
211         for (int cell = 0; cell < kCells; cell++) {
212           sums_of_2[cell][i] = vpaddlq_u8(vreinterpretq_u8_u16(
213               src_lines_intertwined_4x[2 * cell + outer].val[inner]));
214         }
215       }
216     }
217     uint16x8_t sums_of_4[kCells][2];
218     for (int i = 0; i < 2; i++) {
219       for (int cell = 0; cell < kCells; cell++) {
220         sums_of_4[cell][i] =
221             vaddq_u16(sums_of_2[cell][2 * i], sums_of_2[cell][2 * i + 1]);
222       }
223     }
224     uint16x8_t sums_of_8[kCells];
225     for (int cell = 0; cell < kCells; cell++) {
226       sums_of_8[cell] = vaddq_u16(sums_of_4[cell][0], sums_of_4[cell][1]);
227     }
228 
229     uint16x4_t sums_of_16[kCells];
230     for (int cell = 0; cell < kCells; cell++) {
231       sums_of_16[cell] = vadd_u16(vget_low_u16(sums_of_8[cell]),
232                                   vget_high_u16(sums_of_8[cell]));
233     }
234     // Update the sums_of_each_slice vector
235     for (int cell = 0; cell < kCells; cell++) {
236       int32x4_t s = vreinterpretq_s32_u32(vmovl_u16(sums_of_16[cell]));
237       std::int32_t* sums_of_each_slice_ptr =
238           dst->sums_of_each_slice() + start_width + 4 * cell;
239       vst1q_s32(sums_of_each_slice_ptr,
240                 vaddq_s32(s, vld1q_s32(sums_of_each_slice_ptr)));
241     }
242     dst->seek_forward_n_cells(kCells * kRegisterSize / kCellDepth);
243   }
244 };
245 
246 #ifdef GEMMLOWP_NEON_32
vpaddq_s16(int16x8_t a,int16x8_t b)247 inline int16x8_t vpaddq_s16(int16x8_t a, int16x8_t b) {
248   const int16x4_t c = vpadd_s16(vget_low_s16(a), vget_high_s16(a));
249   const int16x4_t d = vpadd_s16(vget_low_s16(b), vget_high_s16(b));
250   return vcombine_s16(c, d);
251 }
252 #endif
253 
254 template <int Width>
255 using Int8FastKernelFormat =
256     KernelSideFormatInt8<CellFormat<Width, 16, CellOrder::WidthMajor>, 1>;
257 
258 template <int Width>
259 class PackingRegisterBlock<WidthMajorUint8SideMap,
260                            PackedSideBlock<Int8FastKernelFormat<Width>>>
261     : public PackingRegisterBlockBase<
262           WidthMajorUint8SideMap,
263           PackedSideBlock<Int8FastKernelFormat<Width>>> {
264  public:
265   static_assert(Width == 2 || Width == 4, "");
266   typedef Int8FastKernelFormat<Width> KernelSideFormat;
267   typedef typename KernelSideFormat::Cell CellFormat;
268   static const int kCells = KernelSideFormat::kCells;
269   static const int kCellWidth = CellFormat::kWidth;
270   static const int kKernelWidth = CellFormat::kWidth * kCells;
271   static const int kCellDepth = CellFormat::kDepth;
272   static const int kCellSize = CellFormat::kSize;
273 
Pack(PackedSideBlock<KernelSideFormat> * dst,int start_width)274   void Pack(PackedSideBlock<KernelSideFormat>* dst, int start_width) {
275     std::int32_t* sums_ptr = dst->sums_of_each_slice() + start_width;
276     std::uint8_t* dst_ptr = dst->current_data();
277     const std::uint8_t* const src_ptr = this->complete_src_.data();
278     const int stride = this->complete_src_.stride();
279     // Load source WidthMajor data
280     uint8x16_t src_lines[Width];
281     for (int i = 0; i < Width; i++) {
282       src_lines[i] = vld1q_u8(src_ptr + i * stride);
283     }
284     const uint8x16_t sign_bit_dup = vdupq_n_u8(0x80);
285     for (int i = 0; i < Width; i++) {
286       src_lines[i] = veorq_u8(src_lines[i], sign_bit_dup);
287     }
288     for (int i = 0; i < Width; i++) {
289       vst1q_u8(dst_ptr + 16 * i, src_lines[i]);
290     }
291     int16x8_t sums2[Width];
292     for (int i = 0; i < Width; i++) {
293       const int8x8_t lo = vreinterpret_s8_u8(vget_low_u8(src_lines[i]));
294       const int8x8_t hi = vreinterpret_s8_u8(vget_high_u8(src_lines[i]));
295       sums2[i] = vaddl_s8(lo, hi);
296     }
297     int16x8_t sums4[Width / 2];
298     for (int i = 0; i < Width / 2; i++) {
299       sums4[i] = vpaddq_s16(sums2[2 * i], sums2[2 * i + 1]);
300     }
301     if (Width == 4) {
302       int32x4_t sum = vld1q_s32(sums_ptr);
303       int16x8_t sums8 = vpaddq_s16(sums4[0], sums4[1]);
304       sum = vpadalq_s16(sum, sums8);
305       vst1q_s32(sums_ptr, sum);
306     } else {
307       assert(Width == 2);
308       int32x2_t sum = vld1_s32(sums_ptr);
309       int16x4_t sums8 =
310           vpadd_s16(vget_low_s16(sums4[0]), vget_high_s16(sums4[0]));
311       sum = vpadal_s16(sum, sums8);
312       vst1_s32(sums_ptr, sum);
313     }
314     dst->seek_forward_n_cells(1);
315   }
316 };
317 
318 }  // namespace gemmlowp
319 
320 #endif  // GEMMLOWP_INTERNAL_PACK_NEON_H_
321