// 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 void xnn_f16_spmm_minmax_ukernel_16x1__neonfp16arith( size_t mc, size_t nc, const void*restrict input, const void*restrict weights, const int32_t*restrict widx_dmap, const uint32_t*restrict nidx_nnzmap, void*restrict output, size_t output_stride, const struct xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(mc != 0); assert(mc % sizeof(__fp16) == 0); assert(nc != 0); const __fp16*restrict i = (const __fp16*) input; __fp16*restrict o = (__fp16*) output; const float16x8_t vscale = vld1q_dup_f16((const __fp16*) ¶ms->scale); const float16x8_t vmax = vld1q_dup_f16((const __fp16*) ¶ms->max); const float16x8_t vmin = vld1q_dup_f16((const __fp16*) ¶ms->min); size_t output_decrement = output_stride * nc - 16 * sizeof(__fp16); while XNN_LIKELY(mc >= 16 * sizeof(__fp16)) { const __fp16*restrict w = (const __fp16*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x8_t vacc01234567 = vld1q_dup_f16(w); w += 1; float16x8_t vacc89ABCDEF = vacc01234567; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x8_t va01234567 = vld1q_f16(i); const float16x8_t va89ABCDEF = vld1q_f16(i + 8); i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff); const float16x8_t vb = vld1q_dup_f16(w); w += 1; vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vb); vacc89ABCDEF = vfmaq_f16(vacc89ABCDEF, va89ABCDEF, vb); } while (--nnz != 0); } float16x8_t vout01234567 = vmulq_f16(vacc01234567, vscale); float16x8_t vout89ABCDEF = vmulq_f16(vacc89ABCDEF, vscale); vout01234567 = vminq_f16(vout01234567, vmax); vout89ABCDEF = vminq_f16(vout89ABCDEF, vmax); vout01234567 = vmaxq_f16(vout01234567, vmin); vout89ABCDEF = vmaxq_f16(vout89ABCDEF, vmin); vst1q_f16(o, vout01234567); vst1q_f16(o + 8, vout89ABCDEF); o = (__fp16*restrict) ((uintptr_t) o + output_stride); } while (--n != 0); o = (__fp16*restrict) ((uintptr_t) o - output_decrement); i += 16; mc -= 16 * sizeof(__fp16); } if XNN_UNLIKELY(mc != 0) { output_decrement += 8 * sizeof(__fp16); if (mc & (8 * sizeof(__fp16))) { const __fp16*restrict w = (const __fp16*) weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; float16x8_t vacc01234567 = vld1q_dup_f16(w); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x8_t va01234567 = vld1q_f16(i); i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff); const float16x8_t vb = vld1q_dup_f16(w); w += 1; vacc01234567 = vfmaq_f16(vacc01234567, va01234567, vb); } while (--nnz != 0); } float16x8_t vout01234567 = vminq_f16(vacc01234567, vmax); vout01234567 = vmaxq_f16(vout01234567, vmin); vst1q_f16(o, vout01234567); o = (__fp16*restrict) ((uintptr_t) o + output_stride); } while (--n != 0); o = (__fp16*restrict) ((uintptr_t) o - output_decrement); i += 8; } output_decrement += 4 * sizeof(__fp16); if (mc & (4 * sizeof(__fp16))) { const __fp16*restrict w = (const __fp16*) 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 = vld1_dup_f16(w); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va0123 = vld1_f16(i); i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vb = vld1_dup_f16(w); w += 1; vacc0123 = vfma_f16(vacc0123, va0123, vb); } while (--nnz != 0); } float16x4_t vout0123 = vmin_f16(vacc0123, vget_low_f16(vmax)); vout0123 = vmax_f16(vout0123, vget_low_f16(vmin)); vst1_f16(o, vout0123); o = (__fp16*restrict) ((uintptr_t) o + output_stride); } while (--n != 0); o = (__fp16*restrict) ((uintptr_t) o - output_decrement); i += 4; } output_decrement += 2 * sizeof(__fp16); if (mc & (2 * sizeof(__fp16))) { const __fp16*restrict w = (const __fp16*) 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 = vld1_dup_f16(w); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va01 = vreinterpret_f16_f32(vld1_dup_f32(__builtin_assume_aligned(i, 1))); i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vb = vld1_dup_f16(w); w += 1; vacc01 = vfma_f16(vacc01, va01, vb); } while (--nnz != 0); } float16x4_t vout01 = vmin_f16(vacc01, vget_low_f16(vmax)); vout01 = vmax_f16(vout01, vget_low_f16(vmin)); vst1_lane_f32(__builtin_assume_aligned(o, 1), vreinterpret_f32_f16(vout01), 0); o = (__fp16*restrict) ((uintptr_t) o + output_stride); } while (--n != 0); o = (__fp16*restrict) ((uintptr_t) o - output_decrement); i += 2; } output_decrement += 1 * sizeof(__fp16); if (mc & (1 * sizeof(__fp16))) { const __fp16*restrict w = (const __fp16*) 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 = vld1_dup_f16(w); w += 1; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const float16x4_t va0 = vld1_dup_f16(i); i = (const __fp16*restrict) ((uintptr_t) i + (uintptr_t) diff); const float16x4_t vb = vld1_dup_f16(w); w += 1; vacc0 = vfma_f16(vacc0, va0, vb); } while (--nnz != 0); } float16x4_t vout0 = vmin_f16(vacc0, vget_low_f16(vmax)); vout0 = vmax_f16(vout0, vget_low_f16(vmin)); vst1_lane_f16(o, vout0, 0); o = (__fp16*restrict) ((uintptr_t) o + output_stride); } while (--n != 0); o = (__fp16*restrict) ((uintptr_t) o - output_decrement); i += 1; } } }