// 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 DATATYPE in ["F32", "QC4", "QC8"] $assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"] $assert ACTIVATION != "LINEAR" or not WASM $if DATATYPE == "QC4": $assert ACTIVATION == "MINMAX" $assert NR % 2 == 0 #include #include #include $if DATATYPE in ["QC4", "QC8"] and NR % 4 != 0: #include $DATATYPE_SPEC = {"F32": "f32", "QC8": "f32_qc8w", "QC4": "f32_qc4w"}[DATATYPE] $MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32" $MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32" $KERNEL = "gemminc" if INC else "gemm" $SUFFIX = {"LINEAR": "", "RELU": "_relu", "MINMAX": "_minmax"}[ACTIVATION] $PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION] void xnn_${DATATYPE_SPEC}_${KERNEL}${SUFFIX}_ukernel_${MR}x${NR}__${"wasm" if WASM else "scalar"}( size_t mr, size_t nc, size_t kc, const float* restrict a, size_t a_stride, $if DATATYPE == "F32": const float* restrict w, $else: const void* restrict w, float* restrict c, size_t cm_stride, size_t cn_stride, $if INC: const float* restrict acc, $if DATATYPE == "QC4": const union xnn_f32_qc4w_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) $else: const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) { assert(mr != 0); assert(mr <= ${MR}); assert(nc != 0); assert(kc != 0); assert(kc % sizeof(float) == 0); assert(a != NULL); assert(w != NULL); assert(c != NULL); $if INC: assert(acc != NULL); const float* a0 = a; float* c0 = c; $for M in range(1, MR): const float* a${M} = (const float*) ((uintptr_t) a${M-1} + a_stride); float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride); $if M % 2 == 0: if XNN_UNPREDICTABLE(mr <= ${M}) { a${M} = a${M-1}; c${M} = c${M-1}; } $elif M + 1 == MR: if XNN_UNPREDICTABLE(mr != ${M+1}) { a${M} = a${M-1}; c${M} = c${M-1}; } $else: if XNN_UNPREDICTABLE(mr < ${M+1}) { a${M} = a${M-1}; c${M} = c${M-1}; } $if ACTIVATION == "MINMAX": const float vmin = params->scalar.min; const float vmax = params->scalar.max; $if DATATYPE == "QC4": const int32_t vminus_kernel_zero_point = params->scalar.minus_kernel_zero_point[0]; do { $if INC: $for M in range(MR): $for N in range(NR): float vacc${M}${N} = acc[${M*NR+N}]; acc += ${MR*NR}; $else: $if DATATYPE == "F32": $for N in range(NR): float vacc0${N} = w[${N}]; w += ${NR}; $else: $for N in range(NR): $if NR % 4 == 0: float vacc0${N} = ((const float*)w)[${N}]; $else: float vacc0${N} = unaligned_indexed_load_f32(w, ${N}); w = (const float*) w + ${NR}; $for M in range(1, MR): $for N in range(NR): float vacc${M}${N} = vacc0${N}; size_t k = kc; $if DATATYPE == "QC4": for (; k >= 2 * sizeof(float); k -= 2 * sizeof(float)) { $for M in range(MR): const float va${M}0 = *a${M}++; const float va${M}1 = *a${M}++; $for N in range(NR): const uint8_t vbi${N} = ((const uint8_t*) w)[${N}]; $for N in range(NR): const float vb${N}0 = (float) ((int32_t) (vbi${N} & 0xF) + vminus_kernel_zero_point); $for N in range(NR): const float vb${N}1 = (float) ((int32_t) (vbi${N} >> 4) + vminus_kernel_zero_point); w = (const int8_t*) w + ${NR}; $for M in range(MR): $for N in range(NR): vacc${M}${N} = math_muladd_f32(va${M}0, vb${N}0, vacc${M}${N}); $for M in range(MR): $for N in range(NR): vacc${M}${N} = math_muladd_f32(va${M}1, vb${N}1, vacc${M}${N}); } if XNN_UNLIKELY(k != 0) { $for M in range(MR): const float va${M} = *a${M}++; $for N in range(NR): const uint8_t vbi${N} = ((const uint8_t*) w)[${N}]; $for N in range(NR): const float vb${N} = (float) ((int32_t) vbi${N} + vminus_kernel_zero_point); w = (const int8_t*) w + ${NR}; $for M in range(MR): $for N in range(NR): vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N}); } $else: do { $for M in range(MR): const float va${M} = *a${M}++; $if DATATYPE == "F32": $for N in range(NR): const float vb${N} = w[${N}]; w += ${NR}; $elif DATATYPE == "QC8": $for N in range(NR): const float vb${N} = (float) ((const int8_t*) w)[${N}]; w = (const int8_t*) w + ${NR}; $for M in range(MR): $for N in range(NR): vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N}); k -= sizeof(float); } while (k != 0); $if DATATYPE in ["QC8", "QC4"]: $for N in range(NR): $if NR % 4 == 0: const float vscale${N} = ((const float*)w)[${N}]; $else: const float vscale${N} = unaligned_indexed_load_f32(w, ${N}); w = (const float*) w + ${NR}; $for N in range(NR): $for M in range(MR): vacc${M}${N} *= vscale${N}; $if ACTIVATION == "MINMAX": $for M in range(MR): $for N in range(NR): vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, vmin); $for M in range(MR): $for N in range(NR): vacc${M}${N} = ${MIN_F32}(vacc${M}${N}, vmax); $elif ACTIVATION == "RELU": $for M in range(MR): $for N in range(NR): vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, 0.0f); if XNN_LIKELY(nc >= ${NR}) { $for M in reversed(range(MR)): $for N in range(NR): c${M}[${N}] = vacc${M}${N}; c${M} = (float*) ((uintptr_t) c${M} + cn_stride); $for M in reversed(range(MR)): a${M} = (const void*) ((uintptr_t) a${M} - kc); nc -= ${NR}; } else { $for LOG2N in reversed(range(NR.bit_length() - 1)): if (nc & ${1 << LOG2N}) { $for M in reversed(range(MR)): $for N in range(1 << LOG2N): c${M}[${N}] = vacc${M}${N}; $if LOG2N != 0: $for N in range(NR - (1 << LOG2N) - 1): vacc${M}${N} = vacc${M}${N + (1 << LOG2N)}; c${M} += ${1 << LOG2N}; } nc = 0; } } while (nc != 0); }