// Auto-generated file. Do not edit! // Template: src/f32-dwconv/up-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 #include #include void xnn_f32_dwconv_minmax_ukernel_up4x4__wasmsimd_arm( size_t channels, size_t output_width, const float** input, const float* weights, float* output, size_t input_stride, size_t output_increment, size_t input_offset, const float* zero, const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN { assert(channels != 0); assert(output_width != 0); const v128_t vmin = wasm_v32x4_load_splat(¶ms->scalar.min); const v128_t vmax = wasm_v32x4_load_splat(¶ms->scalar.max); do { const float* i0 = input[0]; assert(i0 != NULL); if XNN_UNPREDICTABLE(i0 != zero) { i0 = (const float*) ((uintptr_t) i0 + input_offset); } const float* i1 = input[1]; assert(i1 != NULL); if XNN_UNPREDICTABLE(i1 != zero) { i1 = (const float*) ((uintptr_t) i1 + input_offset); } const float* i2 = input[2]; assert(i2 != NULL); if XNN_UNPREDICTABLE(i2 != zero) { i2 = (const float*) ((uintptr_t) i2 + input_offset); } const float* i3 = input[3]; assert(i3 != NULL); if XNN_UNPREDICTABLE(i3 != zero) { i3 = (const float*) ((uintptr_t) i3 + input_offset); } input = (const float**) ((uintptr_t) input + input_stride); size_t c = channels; const float* w = weights; for (; c >= 4; c -= 4) { v128_t vacc0123p0 = wasm_v128_load(w); const v128_t vi0x0123 = wasm_v128_load(i0); i0 += 4; const v128_t vk0x0123 = wasm_v128_load(w + 4); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi0x0123, vk0x0123)); const v128_t vi1x0123 = wasm_v128_load(i1); i1 += 4; const v128_t vk1x0123 = wasm_v128_load(w + 8); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi1x0123, vk1x0123)); const v128_t vi2x0123 = wasm_v128_load(i2); i2 += 4; const v128_t vk2x0123 = wasm_v128_load(w + 12); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi2x0123, vk2x0123)); const v128_t vi3x0123 = wasm_v128_load(i3); i3 += 4; const v128_t vk3x0123 = wasm_v128_load(w + 16); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi3x0123, vk3x0123)); w += 20; v128_t vacc0123 = wasm_f32x4_max(vacc0123p0, vmin); vacc0123 = wasm_f32x4_min(vacc0123, vmax); wasm_v128_store(output, vacc0123); output += 4; } if XNN_UNLIKELY(c != 0) { v128_t vacc0123p0 = wasm_v128_load(w); const v128_t vi0x0123 = wasm_v128_load(i0); const v128_t vk0x0123 = wasm_v128_load(w + 4); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi0x0123, vk0x0123)); const v128_t vi1x0123 = wasm_v128_load(i1); const v128_t vk1x0123 = wasm_v128_load(w + 8); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi1x0123, vk1x0123)); const v128_t vi2x0123 = wasm_v128_load(i2); const v128_t vk2x0123 = wasm_v128_load(w + 12); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi2x0123, vk2x0123)); const v128_t vi3x0123 = wasm_v128_load(i3); const v128_t vk3x0123 = wasm_v128_load(w + 16); vacc0123p0 = wasm_f32x4_add(vacc0123p0, wasm_f32x4_mul(vi3x0123, vk3x0123)); v128_t vacc0123 = wasm_f32x4_max(vacc0123p0, vmin); vacc0123 = wasm_f32x4_min(vacc0123, vmax); if (c & 2) { *((double*) output) = wasm_f64x2_extract_lane(vacc0123, 0); vacc0123 = wasm_v32x4_shuffle(vacc0123, vacc0123, 2, 3, 2, 3); output += 2; } if (c & 1) { *output = wasm_f32x4_extract_lane(vacc0123, 0); output += 1; } } output = (float*) ((uintptr_t) output + output_increment); } while (--output_width != 0); }