// 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. $assert MR % 4 == 0 $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" #include #include #include void xnn_f32_spmm_minmax_ukernel_${MR}x${NR}__sse${"_x" + str(UNROLL) if UNROLL > 1 else ""}( size_t mc, size_t nc, const float*restrict input, const float*restrict weights, const int32_t*restrict widx_dmap, const uint32_t*restrict nidx_nnzmap, float*restrict output, size_t output_stride, const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(mc != 0); assert(mc % sizeof(float) == 0); assert(nc != 0); const __m128 vmin = _mm_load_ps(params->sse.min); const __m128 vmax = _mm_load_ps(params->sse.max); size_t output_decrement = output_stride * nc - ${MR} * sizeof(float); while XNN_LIKELY(mc >= ${MR} * sizeof(float)) { const float*restrict w = weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; $if UNROLL > 1: __m128 vacc0123x0 = _mm_load1_ps(w); w += 1; $for K in range(1, UNROLL): __m128 vacc0123x${K} = _mm_setzero_ps(); $for M in range(4, MR, 4): __m128 vacc${ABC[M:M+4]}x0 = vacc0123x0; $for K in range(1, UNROLL): __m128 vacc${ABC[M:M+4]}x${K} = _mm_setzero_ps(); for (; nnz >= ${UNROLL}; nnz -= ${UNROLL}) { $for K in range(UNROLL): const intptr_t diff${K} = dmap[${K}]; dmap += ${UNROLL}; $for K in range(UNROLL): const __m128 vi0123x${K} = _mm_loadu_ps(input); $for M in range(4, MR, 4): const __m128 vi${ABC[M:M+4]}x${K} = _mm_loadu_ps(input + ${M}); input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff${K}); const __m128 vw${K} = _mm_load1_ps(w); w += 1; $for M in range(0, MR, 4): vacc${ABC[M:M+4]}x${K} = _mm_add_ps(vacc${ABC[M:M+4]}x${K}, _mm_mul_ps(vi${ABC[M:M+4]}x${K}, vw${K})); } $for M in range(0, MR, 4): __m128 vacc${ABC[M:M+4]} = vacc${ABC[M:M+4]}x0; $for K in range(1, UNROLL): $for M in range(0, MR, 4): vacc${ABC[M:M+4]} = _mm_add_ps(vacc${ABC[M:M+4]}, vacc${ABC[M:M+4]}x${K}); $else: __m128 vacc0123 = _mm_load1_ps(w); w += 1; $for M in range(4, MR, 4): __m128 vacc${ABC[M:M+4]} = vacc0123; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; const __m128 vi0123 = _mm_loadu_ps(input); $for M in range(4, MR, 4): const __m128 vi${ABC[M:M+4]} = _mm_loadu_ps(input + ${M}); input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff); const __m128 vw = _mm_load1_ps(w); w += 1; $for M in range(0, MR, 4): vacc${ABC[M:M+4]} = _mm_add_ps(vacc${ABC[M:M+4]}, _mm_mul_ps(vi${ABC[M:M+4]}, vw)); } while (--nnz != 0); } $for M in range(0, MR, 4): __m128 vout${ABC[M:M+4]} = _mm_min_ps(vacc${ABC[M:M+4]}, vmax); $for M in range(0, MR, 4): vout${ABC[M:M+4]} = _mm_max_ps(vout${ABC[M:M+4]}, vmin); _mm_storeu_ps(output, vout0123); $for M in range(4, MR, 4): _mm_storeu_ps(output + ${M}, vout${ABC[M:M+4]}); output = (float*restrict) ((uintptr_t) output + output_stride); } while (--n != 0); output = (float*restrict) ((uintptr_t) output - output_decrement); input += ${MR}; mc -= ${MR} * sizeof(float); } if XNN_UNLIKELY(mc != 0) { $for LOG2M in reversed(range((MR - 1).bit_length())): $SUBMR = 1 << LOG2M $if SUBMR * 2 >= MR: output_decrement += ${MR - SUBMR} * sizeof(float); $else: output_decrement += ${SUBMR} * sizeof(float); if (mc & (${SUBMR} * sizeof(float))) { const float*restrict w = weights; const int32_t* dmap = widx_dmap; const uint32_t* nnzmap = nidx_nnzmap; size_t n = nc; do { uint32_t nnz = *nnzmap++; $if SUBMR == 1: __m128 vacc0 = _mm_load_ss(w); w += 1; $elif SUBMR == 2: __m128 vacc01 = _mm_load_ss(w); w += 1; vacc01 = _mm_unpacklo_ps(vacc01, vacc01); $else: __m128 vacc0123 = _mm_load1_ps(w); w += 1; $for M in range(4, SUBMR, 4): __m128 vacc${ABC[M:M+4]} = vacc0123; if XNN_LIKELY(nnz != 0) { do { const intptr_t diff = *dmap++; $if SUBMR >= 4: const __m128 vi0123 = _mm_loadu_ps(input); $elif SUBMR == 2: const __m128 vi01 = _mm_loadl_pi(_mm_undefined_ps(), (const __m64*) input); $elif SUBMR == 1: const __m128 vi0 = _mm_load_ss(input); $for M in range(4, SUBMR, 4): const __m128 vi${ABC[M:M+4]} = _mm_loadu_ps(input + ${M}); input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff); $if SUBMR >= 4: const __m128 vw = _mm_load1_ps(w); w += 1; $elif SUBMR == 2: __m128 vw = _mm_load_ss(w); w += 1; vw = _mm_unpacklo_ps(vw, vw); $else: const __m128 vw = _mm_load_ss(w); w += 1; $if SUBMR == 1: vacc${ABC[0]} = _mm_add_ss(vacc${ABC[0]}, _mm_mul_ss(vi${ABC[0]}, vw)); $else: $for M in range(0, SUBMR, 4): vacc${ABC[M:min(M+4,SUBMR)]} = _mm_add_ps(vacc${ABC[M:min(M+4,SUBMR)]}, _mm_mul_ps(vi${ABC[M:min(M+4,SUBMR)]}, vw)); } while (--nnz != 0); } $if SUBMR == 1: __m128 vout${ABC[0]} = _mm_min_ss(vacc${ABC[0]}, vmax); vout${ABC[0]} = _mm_max_ss(vout${ABC[0]}, vmin); $else: $for M in range(0, SUBMR, 4): __m128 vout${ABC[M:min(M+4,SUBMR)]} = _mm_min_ps(vacc${ABC[M:min(M+4,SUBMR)]}, vmax); $for M in range(0, SUBMR, 4): vout${ABC[M:min(M+4,SUBMR)]} = _mm_max_ps(vout${ABC[M:min(M+4,SUBMR)]}, vmin); $if SUBMR >= 4: _mm_storeu_ps(output, vout0123); $elif SUBMR == 2: _mm_storel_pi((__m64*) output, vout01); $elif SUBMR == 1: _mm_store_ss(output, vout0); $for M in range(4, SUBMR, 4): _mm_storeu_ps(output + ${M}, vout${ABC[M:M+4]}); output = (float*restrict) ((uintptr_t) output + output_stride); } while (--n != 0); output = (float*restrict) ((uintptr_t) output - output_decrement); input += ${SUBMR}; } } }