| // Auto-generated file. Do not edit! |
| // Template: src/qs8-vaddc/wasmsimd.c.in |
| // Generator: tools/xngen |
| // |
| // Copyright 2020 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 <assert.h> |
| |
| #include <wasm_simd128.h> |
| |
| #include <xnnpack/vadd.h> |
| |
| |
| void xnn_qs8_vaddc_minmax_ukernel__wasmsimd_x8( |
| size_t n, |
| const int8_t* input_a, |
| const int8_t* input_b, |
| int8_t* output, |
| const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN |
| { |
| const v128_t va_multiplier = wasm_v128_load(params->wasmsimd.a_multiplier); |
| const v128_t vrounding = wasm_v128_load(params->wasmsimd.rounding); |
| const int32_t vshift = params->wasmsimd.shift; |
| const v128_t voutput_zero_point = wasm_v128_load(params->wasmsimd.output_zero_point); |
| const v128_t voutput_min = wasm_v128_load(params->wasmsimd.output_min); |
| const v128_t voutput_max = wasm_v128_load(params->wasmsimd.output_max); |
| |
| v128_t vbias = wasm_i32x4_splat((int32_t) *input_b * params->wasmsimd.b_multiplier[0]); |
| vbias = wasm_i32x4_add(vbias, wasm_v128_load(params->wasmsimd.bias)); |
| |
| for (; n >= 8 * sizeof(int8_t); n -= 8 * sizeof(int8_t)) { |
| const v128_t va01234567 = wasm_i16x8_load8x8(input_a); |
| input_a += 8; |
| |
| v128_t vacc0123 = wasm_i32x4_add(vbias, wasm_i32x4_mul(wasm_i32x4_extend_low_i16x8(va01234567), va_multiplier)); |
| v128_t vacc4567 = wasm_i32x4_add(vbias, wasm_i32x4_mul(wasm_i32x4_extend_high_i16x8(va01234567), va_multiplier)); |
| |
| vacc0123 = wasm_i32x4_shr(wasm_i32x4_add(vacc0123, vrounding), vshift); |
| vacc4567 = wasm_i32x4_shr(wasm_i32x4_add(vacc4567, vrounding), vshift); |
| |
| v128_t vout01234567 = wasm_i16x8_add_sat(wasm_i16x8_narrow_i32x4(vacc0123, vacc4567), voutput_zero_point); |
| |
| v128_t vout0123456701234567 = wasm_i8x16_narrow_i16x8(vout01234567, vout01234567); |
| |
| vout0123456701234567 = wasm_i8x16_max(vout0123456701234567, voutput_min); |
| |
| vout0123456701234567 = wasm_i8x16_min(vout0123456701234567, voutput_max); |
| |
| *((double*) output) = wasm_f64x2_extract_lane(vout0123456701234567, 0); |
| output += 8; |
| } |
| if XNN_UNLIKELY(n != 0) { |
| { |
| const v128_t va01234567 = wasm_i16x8_load8x8(input_a); |
| |
| v128_t vacc0123 = wasm_i32x4_add(vbias, wasm_i32x4_mul(wasm_i32x4_extend_low_i16x8(va01234567), va_multiplier)); |
| v128_t vacc4567 = wasm_i32x4_add(vbias, wasm_i32x4_mul(wasm_i32x4_extend_high_i16x8(va01234567), va_multiplier)); |
| |
| vacc0123 = wasm_i32x4_shr(wasm_i32x4_add(vacc0123, vrounding), vshift); |
| vacc4567 = wasm_i32x4_shr(wasm_i32x4_add(vacc4567, vrounding), vshift); |
| |
| v128_t vout01234567 = wasm_i16x8_add_sat(wasm_i16x8_narrow_i32x4(vacc0123, vacc4567), voutput_zero_point); |
| |
| v128_t vout0123456701234567 = wasm_i8x16_narrow_i16x8(vout01234567, vout01234567); |
| vout0123456701234567 = wasm_i8x16_max(vout0123456701234567, voutput_min); |
| vout0123456701234567 = wasm_i8x16_min(vout0123456701234567, voutput_max); |
| |
| if (n & (4 * sizeof(int8_t))) { |
| *((uint32_t*) output) = (uint32_t) wasm_i32x4_extract_lane(vout0123456701234567, 0); |
| vout0123456701234567 = wasm_u64x2_shr(vout0123456701234567, 32); |
| output += 4; |
| } |
| if (n & (2 * sizeof(int8_t))) { |
| *((uint16_t*) output) = (uint16_t) wasm_i16x8_extract_lane(vout0123456701234567, 0); |
| vout0123456701234567 = wasm_u32x4_shr(vout0123456701234567, 16); |
| output += 2; |
| } |
| if (n & (1 * sizeof(int8_t))) { |
| *output = wasm_i8x16_extract_lane(vout0123456701234567, 0); |
| } |
| } |
| } |
| } |