// Auto-generated file. Do not edit! // Template: src/f32-rminmax/scalar.c.in // Generator: tools/xngen // // Copyright 2023 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 "xnnpack/common.h" #include "xnnpack/reduce.h" void xnn_f32_rmax_ukernel__wasm_u4_acc4( size_t batch, const float* input, float* output, const struct xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) { assert(batch != 0); assert(batch % sizeof(float) == 0); assert(input != NULL); assert(output != NULL); const float* i = input; float vmax0 = *i; float vmax1 = vmax0; float vmax2 = vmax0; float vmax3 = vmax0; for (; batch >= 4 * sizeof(float); batch -= 4 * sizeof(float)) { const float vt0 = i[0]; const float vt1 = i[1]; const float vt2 = i[2]; const float vt3 = i[3]; i += 4; vmax0 = __builtin_wasm_max_f32(vmax0, vt0); vmax1 = __builtin_wasm_max_f32(vmax1, vt1); vmax2 = __builtin_wasm_max_f32(vmax2, vt2); vmax3 = __builtin_wasm_max_f32(vmax3, vt3); } vmax0 = __builtin_wasm_max_f32(vmax0, vmax1); vmax2 = __builtin_wasm_max_f32(vmax2, vmax3); vmax0 = __builtin_wasm_max_f32(vmax0, vmax2); if XNN_UNLIKELY(batch != 0) { do { const float vt = *i++; vmax0 = __builtin_wasm_max_f32(vmax0, vt); batch -= sizeof(float); } while (batch != 0); } output[0] = vmax0; }