| // 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 |
| $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
| #include <assert.h> |
| |
| #include <arm_neon.h> |
| |
| #include <xnnpack/vunary.h> |
| #include <xnnpack/common.h> |
| |
| |
| void xnn_f16_relu_ukernel__neonfp16arith_x${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); |
| } |
| } |
| } |