// Auto-generated file. Do not edit! // Template: src/qs8-gemm/MRx4c2-wasmsimd-dot16x2.c.in // Generator: tools/xngen // // 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. #include #include #include "xnnpack/gemm.h" #include "xnnpack/math.h" void xnn_qd8_f32_qc8w_gemm_minmax_ukernel_1x4c2__wasmsimd_dot16x2_ld64( size_t mr, size_t nc, size_t kc, const int8_t* restrict a, size_t a_stride, const void* restrict w, float* restrict c, size_t cm_stride, size_t cn_stride, const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)], const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS { assert(mr != 0); assert(mr <= 1); assert(nc != 0); assert(kc != 0); assert(kc % sizeof(int8_t) == 0); assert(a != NULL); assert(w != NULL); assert(c != NULL); kc = round_up_po2(kc, 2 * sizeof(int8_t)); const int8_t* a0 = a; float* c0 = c; const v128_t vmin = wasm_v128_load32_splat(¶ms->scalar.min); const v128_t vmax = wasm_v128_load32_splat(¶ms->scalar.max); XNN_FORCE_REALIZATION(vmin); XNN_FORCE_REALIZATION(vmax); do { const v128_t vksum0123 = wasm_v128_load(w); const v128_t vinput_zero_point0 = wasm_v128_load32_splat(&quantization_params[0].zero_point); v128_t vacc0x0123 = wasm_i32x4_mul(vksum0123, vinput_zero_point0); w = (const int32_t*) w + 4; size_t k = kc; while (k >= 8 * sizeof(int8_t)) { const v128_t vxa0 = wasm_i16x8_load8x8((const v128_t*) a0); a0 += 8; const v128_t vxb0 = wasm_i16x8_load8x8(w); vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 0, 0, 0, 0), vxb0)); const v128_t vxb1 = wasm_i16x8_load8x8((const int8_t*) w + 8); vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 1, 1, 1, 1), vxb1)); const v128_t vxb2 = wasm_i16x8_load8x8((const int8_t*) w + 16); vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 2, 2, 2, 2), vxb2)); const v128_t vxb3 = wasm_i16x8_load8x8((const int8_t*) w + 24); vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 3, 3, 3, 3), vxb3)); w = (const int8_t*) w + 32; k -= 8 * sizeof(int8_t); } if (k != 0) { const v128_t vxa0 = wasm_i16x8_load8x8(a0); a0 = (const int8_t*) ((uintptr_t) a0 + k); const v128_t vxb0 = wasm_i16x8_load8x8(w); w = (const int8_t*) w + 8; vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 0, 0, 0, 0), vxb0)); if (k > 2 * sizeof(int8_t)) { const v128_t vxb1 = wasm_i16x8_load8x8(w); w = (const int8_t*) w + 8; vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 1, 1, 1, 1), vxb1)); if (k > 4 * sizeof(int8_t)) { const v128_t vxb2 = wasm_i16x8_load8x8(w); w = (const int8_t*) w + 8; vacc0x0123 = wasm_i32x4_add(vacc0x0123, wasm_i32x4_dot_i16x8(wasm_v32x4_shuffle(vxa0, vxa0, 2, 2, 2, 2), vxb2)); } } } vacc0x0123 = wasm_f32x4_convert_i32x4(vacc0x0123); const v128_t vinput_scale0 = wasm_v128_load32_splat(&quantization_params[0].inv_scale); vacc0x0123 = wasm_f32x4_mul(vacc0x0123, vinput_scale0); const v128_t vfilter_output_scale0123 = wasm_v128_load(w); vacc0x0123 = wasm_f32x4_mul(vacc0x0123, vfilter_output_scale0123); w = (const float*) w + 4; const v128_t vbias0123 = wasm_v128_load(w); vacc0x0123 = wasm_f32x4_add(vacc0x0123, vbias0123); w = (const float*) w + 4; vacc0x0123 = wasm_f32x4_pmax(vacc0x0123, vmin); vacc0x0123 = wasm_f32x4_pmin(vacc0x0123, vmax); if XNN_LIKELY(nc >= 4) { wasm_v128_store(c0, vacc0x0123); a0 = (const int8_t*) ((uintptr_t) a0 - kc); c0 = (float*) ((uintptr_t) c0 + cn_stride); nc -= 4; } else { if (nc & 2) { wasm_v128_store64_lane(c0, vacc0x0123, 0); vacc0x0123 = wasm_v64x2_shuffle(vacc0x0123, vacc0x0123, 1, 1); c0 += 2; } if (nc & 1) { wasm_v128_store32_lane(c0, vacc0x0123, 0); } nc = 0; } } while (nc != 0); }