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// Auto-generated file. Do not edit!
// Template: src/f16-ibilinear-chw/neonfp16arith.c.in
// Generator: tools/xngen
//
// 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.
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/ibilinear.h>
void xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4(
size_t output_pixels,
size_t channels,
const void** restrict input,
size_t input_offset,
const void* restrict weights,
void* restrict output,
size_t input_increment) XNN_OOB_READS
{
assert(output_pixels != 0);
assert(channels != 0);
assert(input_increment % sizeof(uint16_t) == 0);
uint16_t* o = (uint16_t*) output;
do {
const uint16_t** i = (const uint16_t**)input;
const uint16_t* w = weights;
size_t p = output_pixels;
for (; p >= 4; p -= 4) {
const uint16_t* itl0 = (const uint16_t*) ((uintptr_t) i[0] + input_offset);
const uint16_t* ibl0 = (const uint16_t*) ((uintptr_t) i[1] + input_offset);
const uint16_t* itl1 = (const uint16_t*) ((uintptr_t) i[2] + input_offset);
const uint16_t* ibl1 = (const uint16_t*) ((uintptr_t) i[3] + input_offset);
const uint16_t* itl2 = (const uint16_t*) ((uintptr_t) i[4] + input_offset);
const uint16_t* ibl2 = (const uint16_t*) ((uintptr_t) i[5] + input_offset);
const uint16_t* itl3 = (const uint16_t*) ((uintptr_t) i[6] + input_offset);
const uint16_t* ibl3 = (const uint16_t*) ((uintptr_t) i[7] + input_offset);
i += 8;
const uint16x4x2_t vw = vld2_u16(w); w += 8;
float16x8_t vtltr = vreinterpretq_f16_u32(vld1q_dup_u32((const void*) itl0));
float16x8_t vblbr = vreinterpretq_f16_u32(vld1q_dup_u32((const void*) ibl0));
vtltr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) itl1, vreinterpretq_u32_f16(vtltr), 1));
vblbr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) ibl1, vreinterpretq_u32_f16(vblbr), 1));
vtltr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) itl2, vreinterpretq_u32_f16(vtltr), 2));
vblbr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) ibl2, vreinterpretq_u32_f16(vblbr), 2));
vtltr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) itl3, vreinterpretq_u32_f16(vtltr), 3));
vblbr = vreinterpretq_f16_u32(vld1q_lane_u32((const void*) ibl3, vreinterpretq_u32_f16(vblbr), 3));
const float16x4_t valphah = vreinterpret_f16_u16(vw.val[0]);
const float16x4_t valphav = vreinterpret_f16_u16(vw.val[1]);
const float16x8_t vldrd = vsubq_f16(vblbr, vtltr);
const float16x4x2_t vld_t = vuzp_f16(vget_low_f16(vldrd), vget_high_f16(vldrd));
const float16x4_t vld = vld_t.val[0];
const float16x4_t vrd = vld_t.val[1];
const float16x4x2_t vtl_t = vuzp_f16(vget_low_f16(vtltr), vget_high_f16(vtltr));
const float16x4_t vtl = vtl_t.val[0];
const float16x4_t vtr = vtl_t.val[1];
const float16x4_t vl = vfma_f16(vtl, vld, valphav);
const float16x4_t vr = vfma_f16(vtr, vrd, valphav);
const float16x4_t vd = vsub_f16(vr, vl);
const float16x4_t vo = vfma_f16(vl, vd, valphah);
vst1_u16(o, vreinterpret_u16_f16(vo)); o += 4;
}
if XNN_UNLIKELY(p != 0) {
if (p & 2) {
const uint16_t* itl0 = (const uint16_t*) ((uintptr_t) i[0] + input_offset);
const uint16_t* ibl0 = (const uint16_t*) ((uintptr_t) i[1] + input_offset);
const uint16_t* itl1 = (const uint16_t*) ((uintptr_t) i[2] + input_offset);
const uint16_t* ibl1 = (const uint16_t*) ((uintptr_t) i[3] + input_offset);
i += 4;
const float16x4_t vw = vreinterpret_f16_u16(vld1_u16(w)); w += 4;
const float16x4x2_t vwhv = vuzp_f16(vw, vw);
const float16x4_t valphah = vwhv.val[0];
const float16x4_t valphav = vwhv.val[1];
float16x4_t vtltr = vreinterpret_f16_u32(vld1_dup_u32((const void*) itl0));
float16x4_t vblbr = vreinterpret_f16_u32(vld1_dup_u32((const void*) ibl0));
vtltr = vreinterpret_f16_u32(vld1_lane_u32((const void*) itl1, vreinterpret_u32_f16(vtltr), 1));
vblbr = vreinterpret_f16_u32(vld1_lane_u32((const void*) ibl1, vreinterpret_u32_f16(vblbr), 1));
const float16x4_t vldrd = vsub_f16(vblbr, vtltr);
const float16x4x2_t vld_t = vuzp_f16(vldrd, vldrd);
const float16x4_t vld = vld_t.val[0];
const float16x4_t vrd = vld_t.val[1];
const float16x4x2_t vtl_t = vuzp_f16(vtltr, vtltr);
const float16x4_t vtl = vtl_t.val[0];
const float16x4_t vtr = vtl_t.val[1];
const float16x4_t vl = vfma_f16(vtl, vld, valphav);
const float16x4_t vr = vfma_f16(vtr, vrd, valphav);
const float16x4_t vd = vsub_f16(vr, vl);
const float16x4_t vo = vfma_f16(vl, vd, valphah);
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vo), 0); o += 2;
}
if (p & 1) {
// We are computing the following formula:
// result = (1 - alpha_h) * (1 - alpha_v) * top_left +
// alpha_h * (1 - alpha_v) * top_right +
// (1 - alpha_h) * alpha_v * bottom_left +
// alpha_h * alpha_v * bottom_right.
//
// Rearranging gives
// result = left + alpha_h * (right - left),
// where
// left = top_left + alpha_v * (bottom_left - top_left),
// right = top_right + alpha_v * (bottom_right - top_right).
const uint16_t* itl = (const uint16_t*) ((uintptr_t) i[0] + input_offset);
const uint16_t* ibl = (const uint16_t*) ((uintptr_t) i[1] + input_offset);
i += 2;
const float16x4_t vw = vreinterpret_f16_u32(vld1_dup_u32((const void*) w)); w += 2;
const float16x4x2_t vwhv = vuzp_f16(vw, vw);
const float16x4_t valphah = vwhv.val[0];
const float16x4_t valphav = vwhv.val[1];
const float16x4_t vtltr = vreinterpret_f16_u32(vld1_dup_u32((const void*) itl));
const float16x4_t vblbr = vreinterpret_f16_u32(vld1_dup_u32((const void*) ibl));
const float16x4_t vldrd = vsub_f16(vblbr, vtltr);
const float16x4x2_t vld_t = vuzp_f16(vldrd, vldrd);
const float16x4_t vld = vld_t.val[0];
const float16x4_t vrd = vld_t.val[1];
const float16x4x2_t vtl_t = vuzp_f16(vtltr, vtltr);
const float16x4_t vtl = vtl_t.val[0];
const float16x4_t vtr = vtl_t.val[1];
const float16x4_t vl = vfma_f16(vtl, vld, valphav);
const float16x4_t vr = vfma_f16(vtr, vrd, valphav);
const float16x4_t vd = vsub_f16(vr, vl);
const float16x4_t vo = vfma_f16(vl, vd, valphah);
vst1_lane_u16(o, vreinterpret_u16_f16(vo), 0); o += 1;
}
}
input_offset += input_increment;
} while (--channels != 0);
}
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