| // Auto-generated file. Do not edit! |
| // Template: src/f32-bilinear/neon.c.in |
| // Generator: tools/xngen |
| // |
| // Copyright 2019 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 <arm_neon.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/bilinear.h> |
| |
| |
| void xnn_f32_bilinear_ukernel__neon_c4( |
| size_t output_pixels, |
| size_t channels, |
| const float**restrict input, |
| size_t input_offset, |
| const float*restrict weights, |
| float*restrict output, |
| size_t output_increment) |
| { |
| assert(output_pixels != 0); |
| assert(channels != 0); |
| assert(channels % sizeof(float) == 0); |
| |
| do { |
| const float* i0 = (const float*) ((uintptr_t) input[0] + input_offset); |
| const float* i1 = (const float*) ((uintptr_t) input[1] + input_offset); |
| const float* i2 = (const float*) ((uintptr_t) input[2] + input_offset); |
| const float* i3 = (const float*) ((uintptr_t) input[3] + input_offset); |
| input += 4; |
| |
| const float32x2_t valphahv = vld1_f32(weights); weights += 2; |
| |
| size_t c = channels; |
| for (; c >= 4 * sizeof(float); c -= 4 * sizeof(float)) { |
| const float32x4_t vtl0123 = vld1q_f32(i0); i0 += 4; |
| const float32x4_t vtr0123 = vld1q_f32(i1); i1 += 4; |
| const float32x4_t vbl0123 = vld1q_f32(i2); i2 += 4; |
| const float32x4_t vbr0123 = vld1q_f32(i3); i3 += 4; |
| |
| const float32x4_t vtd0123 = vsubq_f32(vtr0123, vtl0123); |
| const float32x4_t vbd0123 = vsubq_f32(vbr0123, vbl0123); |
| |
| const float32x4_t vt0123 = vmlaq_lane_f32(vtl0123, vtd0123, valphahv, 0); |
| const float32x4_t vb0123 = vmlaq_lane_f32(vbl0123, vbd0123, valphahv, 0); |
| |
| const float32x4_t vd0123 = vsubq_f32(vb0123, vt0123); |
| |
| const float32x4_t vo0123 = vmlaq_lane_f32(vt0123, vd0123, valphahv, 1); |
| |
| vst1q_f32(output, vo0123); output += 4; |
| } |
| if XNN_UNLIKELY(c != 0) { |
| const float32x4_t vtl0123 = vld1q_f32(i0); |
| const float32x4_t vtr0123 = vld1q_f32(i1); |
| const float32x4_t vbl0123 = vld1q_f32(i2); |
| const float32x4_t vbr0123 = vld1q_f32(i3); |
| |
| const float32x4_t vtd0123 = vsubq_f32(vtr0123, vtl0123); |
| const float32x4_t vbd0123 = vsubq_f32(vbr0123, vbl0123); |
| |
| const float32x4_t vt0123 = vmlaq_lane_f32(vtl0123, vtd0123, valphahv, 0); |
| const float32x4_t vb0123 = vmlaq_lane_f32(vbl0123, vbd0123, valphahv, 0); |
| |
| const float32x4_t vd0123 = vsubq_f32(vb0123, vt0123); |
| |
| const float32x4_t vo0123 = vmlaq_lane_f32(vt0123, vd0123, valphahv, 1); |
| |
| float32x2_t vo01 = vget_low_f32(vo0123); |
| if (c & (2 * sizeof(float))) { |
| vst1_f32(output, vo01); output += 2; |
| vo01 = vget_high_f32(vo0123); |
| } |
| if (c & (1 * sizeof(float))) { |
| vst1_lane_f32(output, vo01, 0); output += 1; |
| } |
| } |
| |
| output = (float*) ((uintptr_t) output + output_increment); |
| } while (--output_pixels != 0); |
| } |