1// Copyright 2020 Google LLC 2// 3// This source code is licensed under the BSD-style license found in the 4// LICENSE file in the root directory of this source tree. 5 6$assert NR % 4 == 0 7$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" 8#include <assert.h> 9 10#include <wasm_simd128.h> 11 12#include <xnnpack/igemm.h> 13 14 15$assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"] 16$ACTIVATION_SUFFIX = {"LINEAR": ""}.get(ACTIVATION, "_" + ACTIVATION.lower()) 17$ARCH_SUFFIX = "" if ACTIVATION in ["LINEAR", "RELU"] else "_x86" if X86 else "_arm" 18$PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION] 19void xnn_f32_igemm${ACTIVATION_SUFFIX}_ukernel_${MR}x${NR}s4__wasmsimd${ARCH_SUFFIX}( 20 size_t mr, 21 size_t nc, 22 size_t kc, 23 size_t ks, 24 const float**restrict a, 25 const float*restrict w, 26 float*restrict c, 27 size_t cm_stride, 28 size_t cn_stride, 29 size_t a_offset, 30 const float* zero, 31 const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) 32{ 33 assert(mr != 0); 34 assert(mr <= ${MR}); 35 assert(nc != 0); 36 assert(kc != 0); 37 assert(kc % sizeof(float) == 0); 38 assert(ks != 0); 39 assert(ks % (${MR} * sizeof(void*)) == 0); 40 assert(a_offset % sizeof(float) == 0); 41 assert(a != NULL); 42 assert(w != NULL); 43 assert(c != NULL); 44 45 float* c0 = c; 46 $for M in range(1, MR): 47 float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride); 48 $if M % 2 == 0: 49 if XNN_UNPREDICTABLE(mr <= ${M}) { 50 c${M} = c${M-1}; 51 } 52 $elif M + 1 == MR: 53 if XNN_UNPREDICTABLE(mr != ${M+1}) { 54 c${M} = c${M-1}; 55 } 56 $else: 57 if XNN_UNPREDICTABLE(mr < ${M+1}) { 58 c${M} = c${M-1}; 59 } 60 61 $if ACTIVATION == "MINMAX" and not X86: 62 const v128_t vmin = wasm_v32x4_load_splat(¶ms->scalar.min); 63 const v128_t vmax = wasm_v32x4_load_splat(¶ms->scalar.max); 64 do { 65 v128_t vacc0x${ABC[0:4]} = wasm_v128_load(w); 66 $for N in range(4, NR, 4): 67 v128_t vacc0x${ABC[N:N+4]} = wasm_v128_load(w + ${N}); 68 $for M in range(1, MR): 69 $for N in range(0, NR, 4): 70 v128_t vacc${M}x${ABC[N:N+4]} = vacc0x${ABC[N:N+4]}; 71 w += ${NR}; 72 73 size_t p = ks; 74 do { 75 $for M in range(MR): 76 const float* restrict a${M} = a[${M}]; 77 assert(a${M} != NULL); 78 if XNN_UNPREDICTABLE(a${M} != zero) { 79 a${M} = (const float*) ((uintptr_t) a${M} + a_offset); 80 } 81 a += ${MR}; 82 83 size_t k = kc; 84 while (k >= 4 * sizeof(float)) { 85 $for M in range(MR): 86 v128_t va${M} = wasm_v128_load(a${M}); 87 a${M} += 4; 88 89 $for L in range(4): 90 91 $for N in range(0, NR, 4): 92 const v128_t vb${ABC[N:N+4]}c${L} = wasm_v128_load(w + ${L * NR + N}); 93 94 $for N in range(0, NR, 4): 95 $for M in range(MR): 96 vacc${M}x${ABC[N:N+4]} = wasm_f32x4_add(vacc${M}x${ABC[N:N+4]}, wasm_f32x4_mul(va${M}, vb${ABC[N:N+4]}c${L})); 97 98 $if L + 1 != 4: 99 $for M in range(MR): 100 va${M} = wasm_v32x4_shuffle(va${M}, va${M}, 1, 2, 3, 0); 101 102 w += ${4 * NR}; 103 k -= 4 * sizeof(float); 104 } 105 if XNN_UNLIKELY(k != 0) { 106 do { 107 const v128_t vb${ABC[0:4]} = wasm_v128_load(w); 108 $for N in range(4, NR, 4): 109 const v128_t vb${ABC[N:N+4]} = wasm_v128_load(w + ${N}); 110 w += ${NR}; 111 112 $for M in range(MR): 113 const v128_t va${M} = wasm_v32x4_load_splat(a${M}); 114 a${M} += 1; 115 116 $for M in range(MR): 117 $for N in range(0, NR, 4): 118 vacc${M}x${ABC[N:N+4]} = wasm_f32x4_add(vacc${M}x${ABC[N:N+4]}, wasm_f32x4_mul(va${M}, vb${ABC[N:N+4]})); 119 k -= sizeof(float); 120 } while (k != 0); 121 } 122 p -= ${MR} * sizeof(void*); 123 } while (p != 0); 124 125 $if ACTIVATION == "MINMAX": 126 $if X86: 127 const v128_t vmin = wasm_v32x4_load_splat(¶ms->scalar.min); 128 $for N in range(0, NR, 4): 129 $for M in range(MR): 130 vacc${M}x${ABC[N:N+4]} = wasm_v128_bitselect(vmin, vacc${M}x${ABC[N:N+4]}, wasm_f32x4_lt(vacc${M}x${ABC[N:N+4]}, vmin)); 131 $else: 132 $for N in range(0, NR, 4): 133 $for M in range(MR): 134 vacc${M}x${ABC[N:N+4]} = wasm_f32x4_max(vacc${M}x${ABC[N:N+4]}, vmin); 135 136 $if X86: 137 const v128_t vmax = wasm_v32x4_load_splat(¶ms->scalar.max); 138 $for N in range(0, NR, 4): 139 $for M in range(MR): 140 vacc${M}x${ABC[N:N+4]} = wasm_v128_bitselect(vacc${M}x${ABC[N:N+4]}, vmax, wasm_f32x4_le(vacc${M}x${ABC[N:N+4]}, vmax)); 141 $else: 142 $for N in range(0, NR, 4): 143 $for M in range(MR): 144 vacc${M}x${ABC[N:N+4]} = wasm_f32x4_min(vacc${M}x${ABC[N:N+4]}, vmax); 145 $elif ACTIVATION == "RELU": 146 const v128_t vzero = wasm_f32x4_splat(0.0f); 147 $for N in range(0, NR, 4): 148 $for M in range(MR): 149 vacc${M}x${ABC[N:N+4]} = wasm_i32x4_max(vacc${M}x${ABC[N:N+4]}, vzero); 150 151 if XNN_LIKELY(nc >= ${NR}) { 152 $for M in reversed(range(MR)): 153 wasm_v128_store(c${M}, vacc${M}x${ABC[0:4]}); 154 $for N in range(4, NR, 4): 155 wasm_v128_store(c${M} + ${N}, vacc${M}x${ABC[N:N+4]}); 156 c${M} = (float*) ((uintptr_t) c${M} + cn_stride); 157 158 a = (const float**restrict) ((uintptr_t) a - ks); 159 nc -= ${NR}; 160 } else { 161 $for LOG2N in reversed(range(NR.bit_length())): 162 $if NR != 1 << LOG2N: 163 if (nc & ${1 << LOG2N}) { 164 $if LOG2N >= 2: 165 $for M in reversed(range(MR)): 166 wasm_v128_store(c${M}, vacc${M}x${ABC[0:4]}); 167 $for N in range(4, 1 << LOG2N, 4): 168 wasm_v128_store(c${M} + ${N}, vacc${M}x${ABC[N:N+4]}); 169 170 $for M in reversed(range(MR)): 171 $for N in range(0, 1 << (LOG2N - 1), 4): 172 vacc${M}x${ABC[N:N+4]} = vacc${M}x${ABC[N + (1 << LOG2N):N + (1 << LOG2N)+4]}; 173 174 $for M in reversed(range(MR)): 175 c${M} += ${1 << LOG2N}; 176 $elif LOG2N == 1: 177 $for M in reversed(range(MR)): 178 *((double*) c${M}) = wasm_f64x2_extract_lane(vacc${M}x${ABC[0:4]}, 0); 179 180 $for M in reversed(range(MR)): 181 vacc${M}x${ABC[0:4]} = wasm_v32x4_shuffle(vacc${M}x${ABC[0:4]}, vacc${M}x${ABC[0:4]}, 2, 3, 2, 3); 182 183 $for M in reversed(range(MR)): 184 c${M} += 2; 185 $elif LOG2N == 0: 186 $for M in reversed(range(MR)): 187 *c${M} = wasm_f32x4_extract_lane(vacc${M}x${ABC[0:4]}, 0); 188 } 189 190 nc = 0; 191 } 192 } while (nc != 0); 193} 194