// 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 NR == 2 $assert MR % 2 == 0 #include #include #include void xnn_f32_igemm_minmax_ukernel_${MR}x${NR}c4__sse( size_t mr, size_t nc, size_t kc, size_t ks, const float**restrict a, const float*restrict w, float*restrict c, size_t cm_stride, size_t cn_stride, size_t a_offset, const float* zero, const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN { assert(mr != 0); assert(mr <= ${MR}); assert(nc != 0); assert(kc != 0); assert(kc % sizeof(float) == 0); assert(ks != 0); assert(ks % (${MR} * sizeof(void*)) == 0); assert(a_offset % sizeof(float) == 0); assert(a != NULL); assert(w != NULL); assert(c != NULL); float* c0 = c; $for M in range(1, MR): float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride); $if M % 2 == 0: if XNN_UNPREDICTABLE(mr <= ${M}) { c${M} = c${M-1}; } $elif M + 1 == MR: if XNN_UNPREDICTABLE(mr != ${M+1}) { c${M} = c${M-1}; } $else: if XNN_UNPREDICTABLE(mr < ${M+1}) { c${M} = c${M-1}; } do { __m128 vacc0x0c4 = _mm_load_ss(w); $for N in range(1, NR): __m128 vacc0x${N}c4 = _mm_load_ss(w + ${N}); $for M in range(1, MR): $for N in range(NR): __m128 vacc${M}x${N}c4 = vacc0x${N}c4; w += ${NR}; size_t p = ks; do { $for M in range(MR): const float* restrict a${M} = a[${M}]; assert(a${M} != NULL); if XNN_UNPREDICTABLE(a${M} != zero) { a${M} = (const float*) ((uintptr_t) a${M} + a_offset); } a += ${MR}; size_t k = kc; for (; k >= 4 * sizeof(float); k -= 4 * sizeof(float)) { $for M in range(MR): const __m128 va${M} = _mm_loadu_ps(a${M}); a${M} += 4; const __m128 vb0 = _mm_loadu_ps(w); $for N in range(1, NR): const __m128 vb${N} = _mm_loadu_ps(w + ${N * 4}); w += ${NR * 4}; $for M in range(MR): $for N in range(NR): vacc${M}x${N}c4 = _mm_add_ps(vacc${M}x${N}c4, _mm_mul_ps(va${M}, vb${N})); } if XNN_UNLIKELY(k != 0) { $for M in range(MR): const __m128 va${M} = _mm_loadu_ps(a${M}); const __m128 vb0 = _mm_loadu_ps(w); $for N in range(1, NR): const __m128 vb${N} = _mm_loadu_ps(w + ${N * 4}); w += ${NR * 4}; $for N in range(NR): const __m128 vmask${N} = _mm_cmpeq_ps(_mm_setzero_ps(), vb${N}); $for M in range(MR): $for N in range(NR): vacc${M}x${N}c4 = _mm_add_ps(vacc${M}x${N}c4, _mm_mul_ps(_mm_andnot_ps(vmask${N}, va${M}), vb${N})); } p -= ${MR} * sizeof(void*); } while (p != 0); $for M in range(MR): const __m128 vacc${M}x01c2 = _mm_add_ps(_mm_unpacklo_ps(vacc${M}x0c4, vacc${M}x1c4), _mm_unpackhi_ps(vacc${M}x0c4, vacc${M}x1c4)); $for M in range(0, MR, 2): __m128 vacc${M}${M+1}x01 = _mm_add_ps(_mm_movelh_ps(vacc${M}x01c2, vacc${M+1}x01c2), _mm_movehl_ps(vacc${M+1}x01c2, vacc${M}x01c2)); const __m128 vmax = _mm_load_ps(params->sse.max); $for M in range(0, MR, 2): vacc${M}${M+1}x01 = _mm_min_ps(vacc${M}${M+1}x01, vmax); const __m128 vmin = _mm_load_ps(params->sse.min); $for M in range(0, MR, 2): vacc${M}${M+1}x01 = _mm_max_ps(vacc${M}${M+1}x01, vmin); if XNN_LIKELY(nc >= ${NR}) { $for M in reversed(range(0, MR, 2)): _mm_storeh_pi((__m64*) c${M+1}, vacc${M}${M+1}x01); c${M+1} = (float*) ((uintptr_t) c${M+1} + cn_stride); _mm_storel_pi((__m64*) c${M}, vacc${M}${M+1}x01); c${M} = (float*) ((uintptr_t) c${M} + cn_stride); a = (const float**restrict) ((uintptr_t) a - ks); nc -= ${NR}; } else { assert(nc == 1); $for M in reversed(range(0, MR, 2)): _mm_store_ss(c${M+1}, _mm_movehl_ps(vacc${M}${M+1}x01, vacc${M}${M+1}x01)); _mm_store_ss(c${M}, vacc${M}${M+1}x01); nc = 0; } } while (nc != 0); }