// Copyright 2022 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 CHANNEL_TILE % 8 == 0 $assert CHANNEL_TILE >= 8 $assert ROW_TILE >= 3 $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" #include #include #include void xnn_f16_gavgpool_minmax_ukernel_${ROW_TILE}x__neonfp16arith_c${CHANNEL_TILE}( size_t rows, size_t channels, const void* input, size_t input_stride, const void* zero, void* output, const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS { assert(rows != 0); assert(rows <= ${ROW_TILE}); assert(channels != 0); const __fp16* i0 = input; $for M in range(1, ROW_TILE): const __fp16* i${M} = (const __fp16*) ((uintptr_t) i${M-1} + input_stride); $if M % 2 == 1: if XNN_UNPREDICTABLE(rows < ${M+1}) { i${M} = (const __fp16*) zero; } $else: if XNN_UNPREDICTABLE(rows <= ${M}) { i${M} = (const __fp16*) zero; } const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.scale)); const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.min)); const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->neon.max)); for (; channels >= ${CHANNEL_TILE}; channels -= ${CHANNEL_TILE}) { $for M in range(2): $for C in range(0, CHANNEL_TILE, 8): const float16x8_t vi${M}x${ABC[C:C+8]} = vld1q_f16(i${M}); i${M} += 8; $for C in range(0, CHANNEL_TILE, 8): const float16x8_t vi2x${ABC[C:C+8]} = vld1q_f16(i2); i2 += 8; float16x8_t vacc${ABC[C:C+8]} = vaddq_f16(vi0x${ABC[C:C+8]}, vi1x${ABC[C:C+8]}); $for M in range(2, ROW_TILE): $for C in range(0, CHANNEL_TILE, 8): $if M + 1 != ROW_TILE: const float16x8_t vi${M+1}x${ABC[C:C+8]} = vld1q_f16(i${M+1}); i${M+1} += 8; vacc${ABC[C:C+8]} = vaddq_f16(vacc${ABC[C:C+8]}, vi${M}x${ABC[C:C+8]}); $for C in range(0, CHANNEL_TILE, 8): vacc${ABC[C:C+8]} = vmulq_f16(vacc${ABC[C:C+8]}, vscale); $for C in range(0, CHANNEL_TILE, 8): vacc${ABC[C:C+8]} = vmaxq_f16(vacc${ABC[C:C+8]}, vmin); $for C in range(0, CHANNEL_TILE, 8): vacc${ABC[C:C+8]} = vminq_f16(vacc${ABC[C:C+8]}, vmax); $for C in range(0, CHANNEL_TILE, 8): vst1q_f16(output, vacc${ABC[C:C+8]}); output = (__fp16*) output + 8; } if XNN_UNLIKELY(channels != 0) { ${"do " if CHANNEL_TILE > 8 else ""}{ $for M in range(2): const float16x8_t vi${M}x${ABC[0:8]} = vld1q_f16(i${M}); i${M} += 8; const float16x8_t vi2x${ABC[0:8]} = vld1q_f16(i2); i2 += 8; float16x8_t vacc${ABC[0:8]} = vaddq_f16(vi0x${ABC[0:8]}, vi1x${ABC[0:8]}); $for M in range(2, ROW_TILE): $if M + 1 != ROW_TILE: const float16x8_t vi${M+1}x${ABC[0:8]} = vld1q_f16(i${M+1}); i${M+1} += 8; vacc${ABC[0:8]} = vaddq_f16(vacc${ABC[0:8]}, vi${M}x${ABC[0:8]}); vacc${ABC[0:8]} = vmulq_f16(vacc${ABC[0:8]}, vscale); vacc${ABC[0:8]} = vmaxq_f16(vacc${ABC[0:8]}, vmin); vacc${ABC[0:8]} = vminq_f16(vacc${ABC[0:8]}, vmax); $if CHANNEL_TILE > 8: if XNN_LIKELY(channels >= 8) { vst1q_f16(output, vacc${ABC[0:8]}); output = (__fp16*) output + 8; channels -= 8; } else { float16x4_t vacc${ABC[0:4]} = vget_low_f16(vacc${ABC[0:8]}); if (channels & 4) { vst1_f16(output, vacc${ABC[0:4]}); output = (__fp16*) output + 4; vacc${ABC[0:4]} = vget_high_f16(vacc${ABC[0:8]}); } if (channels & 2) { vst1_lane_u32(output, vreinterpret_u32_f16(vacc${ABC[0:4]}), 0); output = (__fp16*) output + 2; vacc${ABC[0:4]} = vext_f16(vacc${ABC[0:4]}, vacc${ABC[0:4]}, 2); } if (channels & 1) { vst1_lane_f16(output, vacc${ABC[0:4]}, 0); output = (__fp16*) output + 1; } channels = 0; } $else: float16x4_t vacc${ABC[0:4]} = vget_low_f16(vacc${ABC[0:8]}); if (channels & 4) { vst1_f16(output, vacc${ABC[0:4]}); output = (__fp16*) output + 4; vacc${ABC[0:4]} = vget_high_f16(vacc${ABC[0:8]}); } if (channels & 2) { vst1_lane_u32(output, vreinterpret_u32_f16(vacc${ABC[0:4]}), 0); output = (__fp16*) output + 2; vacc${ABC[0:4]} = vext_f16(vacc${ABC[0:4]}, vacc${ABC[0:4]}, 2); } if (channels & 1) { vst1_lane_f16(output, vacc${ABC[0:4]}, 0); output = (__fp16*) output + 1; } }${" while (channels != 0);" if CHANNEL_TILE > 8 else ""} } }