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$assert CHANNEL_TILE > 0 7$assert ROW_TILE >= 1 8$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" 9#include <assert.h> 10 11#include <xnnpack/math.h> 12#include <xnnpack/prelu.h> 13 14 15void xnn_f32_prelu_ukernel__wasm_${ROW_TILE}x${CHANNEL_TILE}( 16 size_t rows, 17 size_t channels, 18 const float*restrict input, 19 size_t input_stride, 20 const float*restrict weights, 21 float*restrict output, 22 size_t output_stride) 23{ 24 assert(rows != 0); 25 assert(channels != 0); 26 assert(channels % sizeof(float) == 0); 27 28 const float* i0 = input; 29 float* o0 = output; 30 $for M in range(1, ROW_TILE): 31 const float* i${M} = (const float*) ((uintptr_t) i${M-1} + input_stride); 32 float* o${M} = (float*) ((uintptr_t) o${M-1} + output_stride); 33 34 const size_t input_increment = input_stride * ${ROW_TILE} - channels; 35 const size_t output_increment = output_stride * ${ROW_TILE} - channels; 36 37 const float vzero = 0.0f; 38 do { 39 $for M in range(1, ROW_TILE): 40 $if M % 2 == 0: 41 if XNN_UNPREDICTABLE(rows <= ${M}) { 42 i${M} = i${M-1}; 43 o${M} = o${M-1}; 44 } 45 $else: 46 if XNN_UNPREDICTABLE(rows < ${M+1}) { 47 i${M} = i${M-1}; 48 o${M} = o${M-1}; 49 } 50 51 const float* w = weights; 52 size_t c = channels; 53 $if CHANNEL_TILE > 1: 54 for (; c >= ${CHANNEL_TILE} * sizeof(float); c -= ${CHANNEL_TILE} * sizeof(float)) { 55 $for C in range(CHANNEL_TILE): 56 const float vw${ABC[C]} = w[${C}]; 57 58 $for M in range(ROW_TILE): 59 $for C in range(CHANNEL_TILE): 60 float vi${M}x${ABC[C]} = i${M}[${C}]; 61 i${M} += ${CHANNEL_TILE}; 62 63 $for M in range(ROW_TILE): 64 $for C in range(CHANNEL_TILE): 65 float vacc${M}x${ABC[C]} = __builtin_wasm_max_f32(vi${M}x${ABC[C]}, vzero); 66 vi${M}x${ABC[C]} = __builtin_wasm_min_f32(vi${M}x${ABC[C]}, vzero); 67 68 $for M in range(ROW_TILE): 69 $for C in range(CHANNEL_TILE): 70 vacc${M}x${ABC[C]} += vi${M}x${ABC[C]} * vw${ABC[C]}; 71 72 $for M in range(ROW_TILE): 73 $for C in range(CHANNEL_TILE): 74 o${M}[${C}] = vacc${M}x${ABC[C]}; 75 o${M} += ${CHANNEL_TILE}; 76 77 w += ${CHANNEL_TILE}; 78 } 79 for (; c != 0; c -= sizeof(float)) { 80 const float vw = *w++; 81 82 $for M in range(ROW_TILE): 83 float vi${M} = *i${M}++; 84 85 $for M in range(ROW_TILE): 86 float vacc${M} = __builtin_wasm_max_f32(vi${M}, vzero); 87 vi${M} = __builtin_wasm_min_f32(vi${M}, vzero); 88 89 $for M in range(ROW_TILE): 90 vacc${M} += vi${M} * vw; 91 92 $for M in range(ROW_TILE): 93 *o${M}++ = vacc${M}; 94 } 95 $else: 96 do { 97 const float vw = *w++; 98 99 $for M in range(ROW_TILE): 100 float vi${M} = *i${M}++; 101 102 $for M in range(ROW_TILE): 103 float vacc${M} = __builtin_wasm_max_f32(vi${M}, vzero); 104 vi${M} = __builtin_wasm_min_f32(vi${M}, vzero); 105 106 $for M in range(ROW_TILE): 107 vacc${M} += vi${M} * vw; 108 109 $for M in range(ROW_TILE): 110 *o${M}++ = vacc${M}; 111 112 c -= sizeof(float); 113 } while (c != 0); 114 $for M in range(ROW_TILE): 115 i${M} = (const float*) ((uintptr_t) i${M} + input_increment); 116 o${M} = (float*) ((uintptr_t) o${M} + output_increment); 117 rows = doz(rows, ${ROW_TILE}); 118 } while (rows != 0); 119} 120