// 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_f32_ppmm_ukernel_${MR}x${NR}__scalar( size_t mr, size_t nc, size_t kc, const float*restrict a, const float*restrict w, float*restrict c, size_t cm_stride, size_t cn_stride, const union xnn_f32_output_params params[restrict static 1]) { assert(mr != 0); assert(mr <= ${MR}); assert(nc != 0); assert(kc != 0); assert(kc % sizeof(float) == 0); 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 { $for N in range(NR): float vacc0x${N} = w[${N}]; $for M in range(1, MR): $for N in range(NR): float vacc${M}x${N} = vacc0x${N}; w += ${NR}; size_t k = kc; do { $for M in range(MR): const float va${M} = a[${M}]; a += ${MR}; $for N in range(NR): const float vb${N} = w[${N}]; w += ${NR}; $for N in range(NR): $for M in range(MR): vacc${M}x${N} += va${M} * vb${N}; k -= sizeof(float); } while (k != 0); const float vmax = params->scalar.max; $for N in range(NR): $for M in range(MR): vacc${M}x${N} = math_min_f32(vacc${M}x${N}, vmax); const float vmin = params->scalar.min; $for N in range(NR): $for M in range(MR): vacc${M}x${N} = math_max_f32(vacc${M}x${N}, vmin); if XNN_LIKELY(nc >= ${NR}) { $for M in reversed(range(MR)): $for N in range(NR): c${M}[${N}] = vacc${M}x${N}; a = (const float*) ((uintptr_t) a - kc * ${MR}); $for M in reversed(range(MR)): c${M} = (float*) ((uintptr_t) c${M} + cn_stride); nc -= ${NR}; } else { $for LOG2N in reversed(range(NR.bit_length())): $if NR != 1 << LOG2N: if (nc & ${1 << LOG2N}) { $if LOG2N != 0: $for M in reversed(range(MR)): $for N in range(1 << LOG2N): c${M}[${N}] = vacc${M}x${N}; $for M in reversed(range(MR)): $for N in range(1 << (LOG2N - 1)): vacc${M}x${N} = vacc${M}x${N + (1 << LOG2N)}; $for M in reversed(range(MR)): c${M} += ${1 << LOG2N}; $else: $for M in reversed(range(MR)): *c${M} = vacc${M}x0; } nc = 0; } } while (nc != 0); }