| // Copyright 2021 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 ["QS8", "QU8"] |
| $assert BATCH_TILE >= 1 |
| #include <assert.h> |
| |
| #include <xnnpack/math.h> |
| #include <xnnpack/vadd.h> |
| |
| |
| $XINT8_T = {"QS8": "int8_t", "QU8": "uint8_t"}[DATATYPE] |
| void xnn_${DATATYPE.lower()}_vaddc_minmax_ukernel__scalar_x${BATCH_TILE}( |
| size_t n, |
| const ${XINT8_T}* input_a, |
| const ${XINT8_T}* input_b, |
| ${XINT8_T}* output, |
| const union xnn_${DATATYPE.lower()}_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) |
| { |
| const int32_t vbias = params->scalar.bias + (int32_t) *input_b * params->scalar.b_multiplier; |
| const int32_t va_multiplier = params->scalar.a_multiplier; |
| const uint32_t vshift = params->scalar.shift; |
| const int32_t voutput_min_less_zero_point = params->scalar.output_min_less_zero_point; |
| const int32_t voutput_max_less_zero_point = params->scalar.output_max_less_zero_point; |
| const int32_t voutput_zero_point = params->scalar.output_zero_point; |
| |
| $if BATCH_TILE == 1: |
| do { |
| const int32_t va = *input_a++; |
| const int32_t vacc = vbias + va * va_multiplier; |
| |
| int32_t vout = math_asr_s32(vacc, vshift); |
| vout = math_max_s32(vout, voutput_min_less_zero_point); |
| vout = math_min_s32(vout, voutput_max_less_zero_point); |
| *output++ = (${XINT8_T}) (vout + voutput_zero_point); |
| |
| n -= sizeof(${XINT8_T}); |
| } while (n != 0); |
| $else: |
| for (; n >= ${BATCH_TILE} * sizeof(${XINT8_T}); n -= ${BATCH_TILE} * sizeof(${XINT8_T})) { |
| $for N in range(BATCH_TILE): |
| const int32_t va${N} = input_a[${N}]; |
| input_a += ${BATCH_TILE}; |
| |
| $for N in range(BATCH_TILE): |
| const int32_t vacc${N} = vbias + va${N} * va_multiplier; |
| input_b += ${BATCH_TILE}; |
| |
| $for N in range(BATCH_TILE): |
| int32_t vout${N} = math_asr_s32(vacc${N}, vshift); |
| |
| $for N in range(BATCH_TILE): |
| vout${N} = math_max_s32(vout${N}, voutput_min_less_zero_point); |
| |
| $for N in range(BATCH_TILE): |
| vout${N} = math_min_s32(vout${N}, voutput_max_less_zero_point); |
| |
| $for N in range(BATCH_TILE): |
| vout${N} += voutput_zero_point; |
| |
| $for N in range(BATCH_TILE): |
| output[${N}] = (${XINT8_T}) vout${N}; |
| output += ${BATCH_TILE}; |
| } |
| if XNN_UNLIKELY(n != 0) { |
| $if BATCH_TILE == 2: |
| const int32_t va = *input_a; |
| const int32_t vacc = vbias + va * va_multiplier; |
| |
| int32_t vout = math_asr_s32(vacc, vshift); |
| vout = math_max_s32(vout, voutput_min_less_zero_point); |
| vout = math_min_s32(vout, voutput_max_less_zero_point); |
| *output++ = (${XINT8_T}) (vout + voutput_zero_point); |
| $else: |
| do { |
| const int32_t va = *input_a++; |
| const int32_t vacc = vbias + va * va_multiplier; |
| |
| int32_t vout = math_asr_s32(vacc, vshift); |
| vout = math_max_s32(vout, voutput_min_less_zero_point); |
| vout = math_min_s32(vout, voutput_max_less_zero_point); |
| *output++ = (${XINT8_T}) (vout + voutput_zero_point); |
| |
| n -= sizeof(${XINT8_T}); |
| } while (n != 0); |
| } |
| } |