1 // Auto-generated file. Do not edit!
2 // Template: src/f16-gavgpool/unipass-neonfp16arith.c.in
3 // Generator: tools/xngen
4 //
5 // Copyright 2022 Google LLC
6 //
7 // This source code is licensed under the BSD-style license found in the
8 // LICENSE file in the root directory of this source tree.
9
10 #include <assert.h>
11
12 #include <arm_neon.h>
13
14 #include <xnnpack/gavgpool.h>
15
16
xnn_f16_gavgpool_minmax_ukernel_7x__neonfp16arith_c16(size_t rows,size_t channels,const void * input,size_t input_stride,const void * zero,void * output,const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS (1)])17 void xnn_f16_gavgpool_minmax_ukernel_7x__neonfp16arith_c16(
18 size_t rows,
19 size_t channels,
20 const void* input,
21 size_t input_stride,
22 const void* zero,
23 void* output,
24 const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
25 {
26 assert(rows != 0);
27 assert(rows <= 7);
28 assert(channels != 0);
29
30 const __fp16* i0 = input;
31 const __fp16* i1 = (const __fp16*) ((uintptr_t) i0 + input_stride);
32 if XNN_UNPREDICTABLE(rows < 2) {
33 i1 = (const __fp16*) zero;
34 }
35 const __fp16* i2 = (const __fp16*) ((uintptr_t) i1 + input_stride);
36 if XNN_UNPREDICTABLE(rows <= 2) {
37 i2 = (const __fp16*) zero;
38 }
39 const __fp16* i3 = (const __fp16*) ((uintptr_t) i2 + input_stride);
40 if XNN_UNPREDICTABLE(rows < 4) {
41 i3 = (const __fp16*) zero;
42 }
43 const __fp16* i4 = (const __fp16*) ((uintptr_t) i3 + input_stride);
44 if XNN_UNPREDICTABLE(rows <= 4) {
45 i4 = (const __fp16*) zero;
46 }
47 const __fp16* i5 = (const __fp16*) ((uintptr_t) i4 + input_stride);
48 if XNN_UNPREDICTABLE(rows < 6) {
49 i5 = (const __fp16*) zero;
50 }
51 const __fp16* i6 = (const __fp16*) ((uintptr_t) i5 + input_stride);
52 if XNN_UNPREDICTABLE(rows <= 6) {
53 i6 = (const __fp16*) zero;
54 }
55
56 const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.scale));
57 const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.min));
58 const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.max));
59 for (; channels >= 16; channels -= 16) {
60 const float16x8_t vi0x01234567 = vld1q_f16(i0); i0 += 8;
61 const float16x8_t vi0x89ABCDEF = vld1q_f16(i0); i0 += 8;
62 const float16x8_t vi1x01234567 = vld1q_f16(i1); i1 += 8;
63 const float16x8_t vi1x89ABCDEF = vld1q_f16(i1); i1 += 8;
64
65 const float16x8_t vi2x01234567 = vld1q_f16(i2); i2 += 8;
66 float16x8_t vacc01234567 = vaddq_f16(vi0x01234567, vi1x01234567);
67 const float16x8_t vi2x89ABCDEF = vld1q_f16(i2); i2 += 8;
68 float16x8_t vacc89ABCDEF = vaddq_f16(vi0x89ABCDEF, vi1x89ABCDEF);
69
70 const float16x8_t vi3x01234567 = vld1q_f16(i3); i3 += 8;
71 vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
72 const float16x8_t vi3x89ABCDEF = vld1q_f16(i3); i3 += 8;
73 vacc89ABCDEF = vaddq_f16(vacc89ABCDEF, vi2x89ABCDEF);
74 const float16x8_t vi4x01234567 = vld1q_f16(i4); i4 += 8;
75 vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
76 const float16x8_t vi4x89ABCDEF = vld1q_f16(i4); i4 += 8;
77 vacc89ABCDEF = vaddq_f16(vacc89ABCDEF, vi3x89ABCDEF);
78 const float16x8_t vi5x01234567 = vld1q_f16(i5); i5 += 8;
79 vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
80 const float16x8_t vi5x89ABCDEF = vld1q_f16(i5); i5 += 8;
81 vacc89ABCDEF = vaddq_f16(vacc89ABCDEF, vi4x89ABCDEF);
82 const float16x8_t vi6x01234567 = vld1q_f16(i6); i6 += 8;
83 vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
84 const float16x8_t vi6x89ABCDEF = vld1q_f16(i6); i6 += 8;
85 vacc89ABCDEF = vaddq_f16(vacc89ABCDEF, vi5x89ABCDEF);
86 vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
87 vacc89ABCDEF = vaddq_f16(vacc89ABCDEF, vi6x89ABCDEF);
88
89 vacc01234567 = vmulq_f16(vacc01234567, vscale);
90 vacc89ABCDEF = vmulq_f16(vacc89ABCDEF, vscale);
91
92 vacc01234567 = vmaxq_f16(vacc01234567, vmin);
93 vacc89ABCDEF = vmaxq_f16(vacc89ABCDEF, vmin);
94
95 vacc01234567 = vminq_f16(vacc01234567, vmax);
96 vacc89ABCDEF = vminq_f16(vacc89ABCDEF, vmax);
97
98 vst1q_f16(output, vacc01234567); output = (__fp16*) output + 8;
99 vst1q_f16(output, vacc89ABCDEF); output = (__fp16*) output + 8;
100 }
101 if XNN_UNLIKELY(channels != 0) {
102 do {
103 const float16x8_t vi0x01234567 = vld1q_f16(i0); i0 += 8;
104 const float16x8_t vi1x01234567 = vld1q_f16(i1); i1 += 8;
105
106 const float16x8_t vi2x01234567 = vld1q_f16(i2); i2 += 8;
107 float16x8_t vacc01234567 = vaddq_f16(vi0x01234567, vi1x01234567);
108
109 const float16x8_t vi3x01234567 = vld1q_f16(i3); i3 += 8;
110 vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
111 const float16x8_t vi4x01234567 = vld1q_f16(i4); i4 += 8;
112 vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
113 const float16x8_t vi5x01234567 = vld1q_f16(i5); i5 += 8;
114 vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
115 const float16x8_t vi6x01234567 = vld1q_f16(i6); i6 += 8;
116 vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
117 vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
118
119 vacc01234567 = vmulq_f16(vacc01234567, vscale);
120 vacc01234567 = vmaxq_f16(vacc01234567, vmin);
121 vacc01234567 = vminq_f16(vacc01234567, vmax);
122
123 if XNN_LIKELY(channels >= 8) {
124 vst1q_f16(output, vacc01234567); output = (__fp16*) output + 8;
125 channels -= 8;
126 } else {
127 float16x4_t vacc0123 = vget_low_f16(vacc01234567);
128 if (channels & 4) {
129 vst1_f16(output, vacc0123); output = (__fp16*) output + 4;
130 vacc0123 = vget_high_f16(vacc01234567);
131 }
132 if (channels & 2) {
133 vst1_lane_u32(output, vreinterpret_u32_f16(vacc0123), 0); output = (__fp16*) output + 2;
134 vacc0123 = vext_f16(vacc0123, vacc0123, 2);
135 }
136 if (channels & 1) {
137 vst1_lane_f16(output, vacc0123, 0); output = (__fp16*) output + 1;
138 }
139 channels = 0;
140 }
141 } while (channels != 0);
142 }
143 }
144