// 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 CHANNEL_TILE >= 1 $assert ROW_TILE >= 1 $ABC = "0123456789ABCDEFGHIJKLMN" #include #include #include $MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32" $MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32" void xnn_f32_vmulcaddc_ukernel_c${CHANNEL_TILE}__${"wasm" if WASM else "scalar"}_${ROW_TILE}x( size_t rows, size_t channels, const float*restrict input, size_t input_stride, const float*restrict weights, float*restrict output, size_t output_stride, const union xnn_f32_output_params params[restrict static 1]) { assert(rows != 0); assert(channels != 0); assert(channels % sizeof(float) == 0); const size_t input_increment = input_stride * ${ROW_TILE} - channels; const size_t output_increment = output_stride * ${ROW_TILE} - channels; const float* i0 = input; float* o0 = output; $for M in range(1, ROW_TILE): const float* i${M} = (const float*) ((uintptr_t) i${M-1} + input_stride); float* o${M} = (float*) ((uintptr_t) o${M-1} + output_stride); $if M % 2 == 0: if XNN_UNPREDICTABLE(rows <= ${M}) { i${M} = i${M-1}; o${M} = o${M-1}; } $else: if XNN_UNPREDICTABLE(rows < ${M+1}) { i${M} = i${M-1}; o${M} = o${M-1}; } const float vmin = params->scalar.min; const float vmax = params->scalar.max; do { const float* w = weights; size_t c = channels; $if CHANNEL_TILE > 1: for (; c >= ${CHANNEL_TILE} * sizeof(float); c -= ${CHANNEL_TILE} * sizeof(float)) { $for C in range(CHANNEL_TILE): const float vscale${ABC[C]} = w[${C}]; $for M in range(ROW_TILE): $for C in range(CHANNEL_TILE): float vacc${M}x${ABC[C]} = i${M}[${C}]; i${M} += ${CHANNEL_TILE}; $for C in range(CHANNEL_TILE): const float vbias${ABC[C]} = w[${C + CHANNEL_TILE}]; $for M in range(ROW_TILE): $for C in range(CHANNEL_TILE): vacc${M}x${ABC[C]} = vacc${M}x${ABC[C]} * vscale${ABC[C]} + vbias${ABC[C]}; $for M in range(ROW_TILE): $for C in range(CHANNEL_TILE): vacc${M}x${ABC[C]} = ${MAX_F32}(vacc${M}x${ABC[C]}, vmin); $for M in range(ROW_TILE): $for C in range(CHANNEL_TILE): vacc${M}x${ABC[C]} = ${MIN_F32}(vacc${M}x${ABC[C]}, vmax); $for M in range(ROW_TILE): $for C in range(CHANNEL_TILE): o${M}[${C}] = vacc${M}x${ABC[C]}; o${M} += ${CHANNEL_TILE}; w += ${CHANNEL_TILE * 2}; } if XNN_UNLIKELY(c != 0) { do { const float vscale = *w++; $for M in range(ROW_TILE): float vacc${M} = *i${M}++; const float vbias = w[${CHANNEL_TILE - 1}]; $for M in range(ROW_TILE): vacc${M} = vacc${M} * vscale + vbias; $for M in range(ROW_TILE): vacc${M} = ${MAX_F32}(vacc${M}, vmin); $for M in range(ROW_TILE): vacc${M} = ${MIN_F32}(vacc${M}, vmax); $for M in range(ROW_TILE): *o${M}++ = vacc${M}; c -= sizeof(float); } while (c != 0); } $else: do { const float vscale = w[0]; $for M in range(ROW_TILE): float vacc${M} = *i${M}++; const float vbias = w[1]; $for M in range(ROW_TILE): vacc${M} = vacc${M} * vscale + vbias; $for M in range(ROW_TILE): vacc${M} = ${MAX_F32}(vacc${M}, vmin); $for M in range(ROW_TILE): vacc${M} = ${MIN_F32}(vacc${M}, vmax); $for M in range(ROW_TILE): *o${M}++ = vacc${M}; w += 2; c -= sizeof(float); } while (c != 0); $for M in range(ROW_TILE): i${M} = (const float*) ((uintptr_t) i${M} + input_increment); o${M} = (float*) ((uintptr_t) o${M} + output_increment); $if M % 2 == 1: if XNN_UNPREDICTABLE(rows < ${ROW_TILE + M + 1}) { i${M} = i${M-1}; o${M} = o${M-1}; } $elif M != 0: if XNN_UNPREDICTABLE(rows <= ${ROW_TILE + M}) { i${M} = i${M-1}; o${M} = o${M-1}; } rows = doz(rows, ${ROW_TILE}); } while (rows != 0); }