// 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 % 8 == 0 $assert BATCH_TILE >= 8 $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" #include #include #include #include void xnn_f16_relu_ukernel__neonfp16arith_x${BATCH_TILE}( size_t n, const void* restrict x_ptr, void* restrict y_ptr, const struct xnn_f16_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN { assert(n != 0); assert(n % sizeof(__fp16) == 0); assert(x_ptr != NULL); assert(y_ptr != NULL); const __fp16* x = (const __fp16*) x_ptr; __fp16* y = (__fp16*) y_ptr; const float16x8_t vzero = vmovq_n_f16(0); for (; n >= ${BATCH_TILE} * sizeof(__fp16); n -= ${BATCH_TILE} * sizeof(__fp16)) { $for N in range(0, BATCH_TILE, 8): float16x8_t vacc${ABC[N:N+8]} = vld1q_f16(x); x += 8; $for N in range(0, BATCH_TILE, 8): vacc${ABC[N:N+8]} = vmaxq_f16(vacc${ABC[N:N+8]}, vzero); $for N in range(0, BATCH_TILE, 8): vst1q_f16(y, vacc${ABC[N:N+8]}); y += 8; } $if BATCH_TILE > 8: for (; n >= 8 * sizeof(__fp16); n -= 8 * sizeof(__fp16)) { float16x8_t vacc = vld1q_f16(x); x += 8; vacc = vmaxq_f16(vacc, vzero); vst1q_f16(y, vacc); y += 8; } if XNN_UNLIKELY(n != 0) { float16x8_t vacc = vld1q_f16(x); vacc = vmaxq_f16(vacc, vzero); float16x4_t vacc_lo = vget_low_f16(vacc); if (n & (4 * sizeof(__fp16))) { vst1_f16(y, vacc_lo); y += 4; vacc_lo = vget_high_f16(vacc); } if (n & (2 * sizeof(__fp16))) { vst1_lane_u32(__builtin_assume_aligned(y, 1), vreinterpret_u32_f16(vacc_lo), 0); y += 2; vacc_lo = vext_f16(vacc_lo, vacc_lo, 2); } if (n & (1 * sizeof(__fp16))) { vst1_lane_f16(y, vacc_lo, 0); } } }