// Copyright 2020 Google LLC // // This source code is licensed under the BSD-style license found in the // LICENSE file in the root directory of this source tree. $assert BATCH_TILE >= 1 $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" #include #include #include void xnn_f32_vlrelu_ukernel__wasm_x${BATCH_TILE}( size_t n, const float* x, float* y, const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(n != 0); assert(n % sizeof(float) == 0); const float vslope = params->scalar.slope; const float vzero = 0.0f; $if BATCH_TILE > 1: for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { $for N in range(BATCH_TILE): const float vx${ABC[N]} = x[${N}]; x += ${BATCH_TILE}; $for N in range(BATCH_TILE): const float vnegx${ABC[N]} = __builtin_wasm_min_f32(vx${ABC[N]}, vzero); $for N in range(BATCH_TILE): float vacc${ABC[N]} = vnegx${ABC[N]} * vslope; const float vposx${ABC[N]} = __builtin_wasm_max_f32(vx${ABC[N]}, vzero); $for N in range(BATCH_TILE): vacc${ABC[N]} += vposx${ABC[N]}; $for N in range(BATCH_TILE): y[${N}] = vacc${ABC[N]}; y += ${BATCH_TILE}; } if XNN_UNLIKELY(n != 0) { $if BATCH_TILE > 2: do { const float vx = *x++; const float vnegx = __builtin_wasm_min_f32(vx, vzero); float vacc = vnegx * vslope; const float vposx = __builtin_wasm_max_f32(vx, vzero); vacc += vposx; *y++ = vacc; n -= sizeof(float); } while (n != 0); $else: const float vx = *x; const float vnegx = __builtin_wasm_min_f32(vx, vzero); float vacc = vnegx * vslope; const float vposx = __builtin_wasm_max_f32(vx, vzero); vacc += vposx; *y = vacc; } $else: do { const float vx = *x++; const float vnegx = __builtin_wasm_min_f32(vx, vzero); float vacc = vnegx * vslope; const float vposx = __builtin_wasm_max_f32(vx, vzero); vacc += vposx; *y++ = vacc; n -= sizeof(float); } while (n != 0); }