xref: /aosp_15_r20/external/XNNPACK/src/f16-spmm/gen/16x1-minmax-neonfp16arith.c (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1 // Auto-generated file. Do not edit!
2 //   Template: src/f16-spmm/neonfp16arith.c.in
3 //   Generator: tools/xngen
4 //
5 // Copyright 2019 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/spmm.h>
15 
16 
xnn_f16_spmm_minmax_ukernel_16x1__neonfp16arith(size_t mc,size_t nc,const void * restrict input,const void * restrict weights,const int32_t * restrict widx_dmap,const uint32_t * restrict nidx_nnzmap,void * restrict output,size_t output_stride,const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS (1)])17 void xnn_f16_spmm_minmax_ukernel_16x1__neonfp16arith(
18     size_t mc,
19     size_t nc,
20     const void*restrict input,
21     const void*restrict weights,
22     const int32_t*restrict widx_dmap,
23     const uint32_t*restrict nidx_nnzmap,
24     void*restrict output,
25     size_t output_stride,
26     const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)])
27 {
28   assert(mc != 0);
29   assert(mc % sizeof(__fp16) == 0);
30   assert(nc != 0);
31 
32   const __fp16*restrict i = (const __fp16*) input;
33   __fp16*restrict o = (__fp16*) output;
34 
35   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neon.max));
36   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->neon.min));
37 
38   size_t output_decrement = output_stride * nc - 16 * sizeof(__fp16);
39   while XNN_LIKELY(mc >= 16 * sizeof(__fp16)) {
40     const __fp16*restrict w = (const __fp16*) weights;
41     const int32_t* dmap = widx_dmap;
42     const uint32_t* nnzmap = nidx_nnzmap;
43     size_t n = nc;
44     do {
45       uint32_t nnz = *nnzmap++;
46       float16x8_t vacc01234567 = vld1q_dup_f16(w); w += 1;
47       float16x8_t vacc89ABCDEF = vacc01234567;
48       if XNN_LIKELY(nnz != 0) {
49         do {
50           const intptr_t diff = *dmap++;
51           const float16x8_t va01234567 = vld1q_f16(i);
52           const float16x8_t va89ABCDEF = vld1q_f16(i + 8);
53           i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff);
54           const float16x8_t vb = vld1q_dup_f16(w); w += 1;
55           vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vb);
56           vacc89ABCDEF = vfmaq_f16(vacc89ABCDEF, va89ABCDEF, vb);
57         } while (--nnz != 0);
58       }
59       float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax);
60       float16x8_t vout89ABCDEF = vminq_f16(vacc89ABCDEF, vmax);
61       vout01234567 = vmaxq_f16(vout01234567, vmin);
62       vout89ABCDEF = vmaxq_f16(vout89ABCDEF, vmin);
63       vst1q_f16(o, vout01234567);
64       vst1q_f16(o + 8, vout89ABCDEF);
65       o = (__fp16*restrict) ((uintptr_t) o + output_stride);
66     } while (--n != 0);
67     o = (__fp16*restrict) ((uintptr_t) o - output_decrement);
68     i += 16;
69     mc -= 16 * sizeof(__fp16);
70   }
71   if XNN_UNLIKELY(mc != 0) {
72     output_decrement += 8 * sizeof(__fp16);
73     if (mc & (8 * sizeof(__fp16))) {
74       const __fp16*restrict w = (const __fp16*) weights;
75       const int32_t* dmap = widx_dmap;
76       const uint32_t* nnzmap = nidx_nnzmap;
77       size_t n = nc;
78       do {
79         uint32_t nnz = *nnzmap++;
80         float16x8_t vacc01234567 = vld1q_dup_f16(w); w += 1;
81         if XNN_LIKELY(nnz != 0) {
82           do {
83             const intptr_t diff = *dmap++;
84             const float16x8_t va01234567 = vld1q_f16(i);
85             i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff);
86             const float16x8_t vb = vld1q_dup_f16(w); w += 1;
87             vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vb);
88           } while (--nnz != 0);
89         }
90         float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax);
91         vout01234567 = vmaxq_f16(vout01234567, vmin);
92         vst1q_f16(o, vout01234567);
93         o = (__fp16*restrict) ((uintptr_t) o + output_stride);
94       } while (--n != 0);
95       o = (__fp16*restrict) ((uintptr_t) o - output_decrement);
96       i += 8;
97     }
98     output_decrement += 4 * sizeof(__fp16);
99     if (mc & (4 * sizeof(__fp16))) {
100       const __fp16*restrict w = (const __fp16*) weights;
101       const int32_t* dmap = widx_dmap;
102       const uint32_t* nnzmap = nidx_nnzmap;
103       size_t n = nc;
104       do {
105         uint32_t nnz = *nnzmap++;
106         float16x4_t vacc0123 = vld1_dup_f16(w); w += 1;
107         if XNN_LIKELY(nnz != 0) {
108           do {
109             const intptr_t diff = *dmap++;
110             const float16x4_t va0123 = vld1_f16(i);
111             i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff);
112             const float16x4_t vb = vld1_dup_f16(w); w += 1;
113             vacc0123 = vfma_f16(vacc0123, va0123, vb);
114           } while (--nnz != 0);
115         }
116         float16x4_t vout0123 = vmin_f16(vacc0123, vget_low_f16(vmax));
117         vout0123 = vmax_f16(vout0123, vget_low_f16(vmin));
118         vst1_f16(o, vout0123);
119         o = (__fp16*restrict) ((uintptr_t) o + output_stride);
120       } while (--n != 0);
121       o = (__fp16*restrict) ((uintptr_t) o - output_decrement);
122       i += 4;
123     }
124     output_decrement += 2 * sizeof(__fp16);
125     if (mc & (2 * sizeof(__fp16))) {
126       const __fp16*restrict w = (const __fp16*) weights;
127       const int32_t* dmap = widx_dmap;
128       const uint32_t* nnzmap = nidx_nnzmap;
129       size_t n = nc;
130       do {
131         uint32_t nnz = *nnzmap++;
132         float16x4_t vacc01 = vld1_dup_f16(w); w += 1;
133         if XNN_LIKELY(nnz != 0) {
134           do {
135             const intptr_t diff = *dmap++;
136             const float16x4_t va01 = vreinterpret_f16_f32(vld1_dup_f32((const void*) i));
137             i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff);
138             const float16x4_t vb = vld1_dup_f16(w); w += 1;
139             vacc01 = vfma_f16(vacc01, va01, vb);
140           } while (--nnz != 0);
141         }
142         float16x4_t vout01 = vmin_f16(vacc01, vget_low_f16(vmax));
143         vout01 = vmax_f16(vout01, vget_low_f16(vmin));
144         vst1_lane_f32((void*) o, vreinterpret_f32_f16(vout01), 0);
145         o = (__fp16*restrict) ((uintptr_t) o + output_stride);
146       } while (--n != 0);
147       o = (__fp16*restrict) ((uintptr_t) o - output_decrement);
148       i += 2;
149     }
150     output_decrement += 1 * sizeof(__fp16);
151     if (mc & (1 * sizeof(__fp16))) {
152       const __fp16*restrict w = (const __fp16*) weights;
153       const int32_t* dmap = widx_dmap;
154       const uint32_t* nnzmap = nidx_nnzmap;
155       size_t n = nc;
156       do {
157         uint32_t nnz = *nnzmap++;
158         float16x4_t vacc0 = vld1_dup_f16(w); w += 1;
159         if XNN_LIKELY(nnz != 0) {
160           do {
161             const intptr_t diff = *dmap++;
162             const float16x4_t va0 = vld1_dup_f16(i);
163             i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff);
164             const float16x4_t vb = vld1_dup_f16(w); w += 1;
165             vacc0 = vfma_f16(vacc0, va0, vb);
166           } while (--nnz != 0);
167         }
168         float16x4_t vout0 = vmin_f16(vacc0, vget_low_f16(vmax));
169         vout0 = vmax_f16(vout0, vget_low_f16(vmin));
170         vst1_lane_f16(o, vout0, 0);
171         o = (__fp16*restrict) ((uintptr_t) o + output_stride);
172       } while (--n != 0);
173       o = (__fp16*restrict) ((uintptr_t) o - output_decrement);
174       i += 1;
175     }
176   }
177 }
178