// Auto-generated file. Do not edit! // Template: src/f16-vbinary/vop-fp16arith.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 #include #include "xnnpack/common.h" #include "xnnpack/intrinsics-polyfill.h" #include "xnnpack/vbinary.h" void xnn_f16_vdiv_ukernel__fp16arith_u2( size_t batch, const xnn_float16* restrict input_a, const xnn_float16* restrict input_b, xnn_float16* restrict output, const struct xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(batch != 0); assert(batch % sizeof(float16_t) == 0); assert(input_a != NULL); assert(input_b != NULL); assert(output != NULL); const float16_t* a = (const float16_t*) input_a; const float16_t* b = (const float16_t*) input_b; float16_t* o = (float16_t*) output; for (; batch >= 2 * sizeof(float16_t); batch -= 2 * sizeof(float16_t)) { const float16_t va0 = *a++; const float16_t va1 = *a++; const float16_t vb0 = *b++; const float16_t vb1 = *b++; float16_t vacc0 = vdivh_f16(va0, vb0); float16_t vacc1 = vdivh_f16(va1, vb1); *o++ = vacc0; *o++ = vacc1; } if XNN_UNLIKELY(batch != 0) { const float16_t va = *a; const float16_t vb = *b; float16_t vacc = vdivh_f16(va, vb); *o = vacc; } }