m53297601
/
Paddle
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Use template to deliver const argument instead, to remove the compiling error "argument to __builtin_neon_vgetq_lane_f32 must be a constant integer".

Browse Source
Adaptive_data_structure_for_SwitchOrderLayer
Liu Yiqun 8 years ago
parent 50c63dc9e7
commit c54c7d91a0
2 changed files with 52 additions and 52 deletions
Show Stats Download Patch File Download Diff File

100
paddle/function/neon/NeonDepthwiseConv.cpp
Unescape View File

@ -116,15 +116,15 @@ struct DepthwiseConvKernel<3, 1> {
float32x4_t tmp1 = vdupq_n_f32(0.f);
float32x4_t tmp2 = vdupq_n_f32(0.f);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][0], k[0], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][1], k[0], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][2], k[0], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][0], k[1], 0);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][1], k[1], 1);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][2], k[1], 2);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][0], k[2], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][1], k[2], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][2], k[2], 2);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[0][0], k[0]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[0][1], k[0]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[0][2], k[0]);
tmp2 = vmlaq_laneq_f32<0>(tmp2, input[1][0], k[1]);
tmp1 = vmlaq_laneq_f32<1>(tmp1, input[1][1], k[1]);
tmp2 = vmlaq_laneq_f32<2>(tmp2, input[1][2], k[1]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[2][0], k[2]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[2][1], k[2]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[2][2], k[2]);
tmp1 = vaddq_f32(tmp1, tmp2);
vst1q_f32(outputData, tmp1);
@ -223,15 +223,15 @@ struct DepthwiseConvKernel<3, 2> {
float32x4_t tmp1 = vdupq_n_f32(0.f);
float32x4_t tmp2 = vdupq_n_f32(0.f);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][0], k[0], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][1], k[0], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][2], k[0], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][0], k[1], 0);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][1], k[1], 1);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][2], k[1], 2);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][0], k[2], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][1], k[2], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][2], k[2], 2);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[0][0], k[0]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[0][1], k[0]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[0][2], k[0]);
tmp2 = vmlaq_laneq_f32<0>(tmp2, input[1][0], k[1]);
tmp1 = vmlaq_laneq_f32<1>(tmp1, input[1][1], k[1]);
tmp2 = vmlaq_laneq_f32<2>(tmp2, input[1][2], k[1]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[2][0], k[2]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[2][1], k[2]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[2][2], k[2]);
tmp1 = vaddq_f32(tmp1, tmp2);
vst1q_f32(outputData, tmp1);
@ -316,22 +316,22 @@ struct DepthwiseConvKernel<4, 1> {
float32x4_t tmp1 = vdupq_n_f32(0.f);
float32x4_t tmp2 = vdupq_n_f32(0.f);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][0], k[0], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][1], k[0], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][2], k[0], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][3], k[0], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][0], k[1], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][1], k[1], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][2], k[1], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][3], k[1], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][0], k[2], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][1], k[2], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][2], k[2], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][3], k[2], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[3][0], k[3], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[3][1], k[3], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[3][2], k[3], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[3][3], k[3], 3);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[0][0], k[0]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[0][1], k[0]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[0][2], k[0]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[0][3], k[0]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[1][0], k[1]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[1][1], k[1]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[1][2], k[1]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[1][3], k[1]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[2][0], k[2]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[2][1], k[2]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[2][2], k[2]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[2][3], k[2]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[3][0], k[3]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[3][1], k[3]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[3][2], k[3]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[3][3], k[3]);
tmp1 = vaddq_f32(tmp1, tmp2);
vst1q_f32(outputData, tmp1);
@ -431,22 +431,22 @@ struct DepthwiseConvKernel<4, 2> {
float32x4_t tmp1 = vdupq_n_f32(0.f);
float32x4_t tmp2 = vdupq_n_f32(0.f);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][0], k[0], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][1], k[0], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[0][2], k[0], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[0][3], k[0], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][0], k[1], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][1], k[1], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[1][2], k[1], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[1][3], k[1], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][0], k[2], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][1], k[2], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[2][2], k[2], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[2][3], k[2], 3);
tmp1 = vmlaq_laneq_f32(tmp1, input[3][0], k[3], 0);
tmp2 = vmlaq_laneq_f32(tmp2, input[3][1], k[3], 1);
tmp1 = vmlaq_laneq_f32(tmp1, input[3][2], k[3], 2);
tmp2 = vmlaq_laneq_f32(tmp2, input[3][3], k[3], 3);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[0][0], k[0]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[0][1], k[0]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[0][2], k[0]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[0][3], k[0]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[1][0], k[1]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[1][1], k[1]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[1][2], k[1]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[1][3], k[1]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[2][0], k[2]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[2][1], k[2]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[2][2], k[2]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[2][3], k[2]);
tmp1 = vmlaq_laneq_f32<0>(tmp1, input[3][0], k[3]);
tmp2 = vmlaq_laneq_f32<1>(tmp2, input[3][1], k[3]);
tmp1 = vmlaq_laneq_f32<2>(tmp1, input[3][2], k[3]);
tmp2 = vmlaq_laneq_f32<3>(tmp2, input[3][3], k[3]);
tmp1 = vaddq_f32(tmp1, tmp2);
vst1q_f32(outputData, tmp1);

4
paddle/function/neon/neon_util.h
Unescape View File

@ -33,10 +33,10 @@ inline float32_t vaddvq_f32(float32x4_t a) {
return vget_lane_f32(vpadd_f32(v, v), 0);
}
template <int lane>
inline float32x4_t vmlaq_laneq_f32(float32x4_t a,
float32x4_t b,
float32x4_t v,
const int lane) {
float32x4_t v) {
return vmlaq_n_f32(a, b, vgetq_lane_f32(v, lane));
}
#endif

Write Preview
Loading…
Cancel
Save