// Auto-generated file. Do not edit! // Template: src/f16-spmm/neonfp16arith.c.in // Generator: tools/xngen // // Copyright 2019 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 #include void xnn_f16_spmm_minmax_ukernel_8x1__neonfp16arith_x2( size_t mc, size_t nc, const void* input, const void* weights, const int32_t* widx_dmap, const uint32_t* nidx_nnzmap, void* output, size_t output_stride, const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(mc != 0); assert(mc % sizeof(uint16_t) == 0); assert(nc != 0); const uint16_t* i = (const uint16_t*) input; uint16_t* o = (uint16_t*) output; #if XNN_ARCH_ARM64 const uint16x8x2_t vminmax = vld2q_dup_u16(¶ms->fp16arith.min); const float16x8_t vmin = vreinterpretq_f16_u16(vminmax.val[0]); const float16x8_t vmax = vreinterpretq_f16_u16(vminmax.val[1]); #else // vld2_dup is to work around aarch32 clang bug with vld1q_dup const uint16x4x2_t vminmax = vld2_dup_u16(¶ms->fp16arith.min); const float16x8_t vmin = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[0], vminmax.val[0])); const float16x8_t vmax = vreinterpretq_f16_u16(vcombine_u16(vminmax.val[1], vminmax.val[1])); #endif size_t output_decrement = output_stride * nc - 8 * sizeof(uint16_t); while XNN_LIKELY(mc >= 8 * sizeof(uint16_t)) { const uint16_t* w = (const uint16_t*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x8_t vacc01234567x0 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1; float16x8_t vacc01234567x1 = vreinterpretq_f16_u16(vmovq_n_u16(0)); for (; nnz >= 2; nnz -= 2) { const intptr_t diff0 = dmap[0]; const intptr_t diff1 = dmap[1]; dmap += 2; const float16x8_t va01234567x0 = vreinterpretq_f16_u16(vld1q_u16(i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff0); xnn_prefetch_to_l1(i + 32); const float16x8_t vw0 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1; xnn_prefetch_to_l1(w + 64); vacc01234567x0 = vfmaq_f16(vacc01234567x0, va01234567x0, vw0); const float16x8_t va01234567x1 = vreinterpretq_f16_u16(vld1q_u16(i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff1); xnn_prefetch_to_l1(i + 32); const float16x8_t vw1 = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1; xnn_prefetch_to_l1(w + 64); vacc01234567x1 = vfmaq_f16(vacc01234567x1, va01234567x1, vw1); } float16x8_t vacc01234567 = vacc01234567x0; vacc01234567 = vaddq_f16(vacc01234567, vacc01234567x1); if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff); xnn_prefetch_to_l1(i + 32); const float16x8_t vw = vreinterpretq_f16_u16(vld1q_dup_u16(w)); w += 1; xnn_prefetch_to_l1(w + 64); vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vw); } while (--nnz != 0); } float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax); vout01234567 = vmaxq_f16(vout01234567, vmin); vst1q_u16(o, vreinterpretq_u16_f16(vout01234567)); o = (uint16_t*) ((uintptr_t) o + output_stride); } while (--n != 0); o = (uint16_t*) ((uintptr_t) o - output_decrement); i += 8; mc -= 8 * sizeof(uint16_t); } if XNN_UNLIKELY(mc != 0) { output_decrement += 4 * sizeof(uint16_t); if (mc & (4 * sizeof(uint16_t))) { const uint16_t* w = (const uint16_t*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x4_t vacc0123 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va0123 = vreinterpret_f16_u16(vld1_u16(i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; vacc0123 = vfma_f16(vacc0123, va0123, vw); } while (--nnz != 0); } float16x4_t vout0123 = vmin_f16(vacc0123, vget_low_f16(vmax)); vout0123 = vmax_f16(vout0123, vget_low_f16(vmin)); vst1_u16(o, vreinterpret_u16_f16(vout0123)); o = (uint16_t*) ((uintptr_t) o + output_stride); } while (--n != 0); o = (uint16_t*) ((uintptr_t) o - output_decrement); i += 4; } output_decrement += 2 * sizeof(uint16_t); if (mc & (2 * sizeof(uint16_t))) { const uint16_t* w = (const uint16_t*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x4_t vacc01 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va01 = vreinterpret_f16_u32(vld1_dup_u32((const void*) i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; vacc01 = vfma_f16(vacc01, va01, vw); } while (--nnz != 0); } float16x4_t vout01 = vmin_f16(vacc01, vget_low_f16(vmax)); vout01 = vmax_f16(vout01, vget_low_f16(vmin)); vst1_lane_u32((void*) o, vreinterpret_u32_f16(vout01), 0); o = (uint16_t*) ((uintptr_t) o + output_stride); } while (--n != 0); o = (uint16_t*) ((uintptr_t) o - output_decrement); i += 2; } output_decrement += 1 * sizeof(uint16_t); if (mc & (1 * sizeof(uint16_t))) { const uint16_t* w = (const uint16_t*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x4_t vacc0 = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va0 = vreinterpret_f16_u16(vld1_dup_u16(i)); i = (const uint16_t*) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vw = vreinterpret_f16_u16(vld1_dup_u16(w)); w += 1; vacc0 = vfma_f16(vacc0, va0, vw); } while (--nnz != 0); } float16x4_t vout0 = vmin_f16(vacc0, vget_low_f16(vmax)); vout0 = vmax_f16(vout0, vget_low_f16(vmin)); vst1_lane_u16(o, vreinterpret_u16_f16(vout0), 0); o = (uint16_t*) ((uintptr_t) o + output_stride); } while (--n != 0); o = (uint16_t*) ((uintptr_t) o - output_decrement); i += 1; } } }