opencv/modules/dnn/src/opencl/batchnorm.cl
Li Peng 4189214d04 batch_norm layer ocl update
use a batch_norm ocl kernel to do the work

Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-16 19:01:58 +08:00

85 lines
3.4 KiB
Common Lisp

/*M///////////////////////////////////////////////////////////////////////////////////////
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//M*/
#define Dtype float
#define Dtype4 float4
#define Dtype8 float8
#if NUM == 8
#define load(src, index) vload8(0, src + index)
#define store(vec, dst, index) vstore8(vec, 0, dst + index)
#define vec_type Dtype8
#define BATCH_NORM batch_norm8
#elif NUM == 4
#define load(src, index) vload4(0, src + index)
#define store(vec, dst, index) vstore4(vec, 0, dst + index)
#define vec_type Dtype4
#define BATCH_NORM batch_norm4
#elif NUM == 1
#define load(src, index) src[index]
#define store(vec, dst, index) dst[index] = vec
#define vec_type Dtype
#define BATCH_NORM batch_norm1
#endif
__kernel void BATCH_NORM(__global const Dtype* src,
const int rows,
const int cols,
const int channels,
__global const Dtype* weight,
__global const Dtype* bias,
__global Dtype* dst)
{
int x = get_global_id(0);
int y = get_global_id(1) * NUM;
int index = x * cols + y;
if (x >= rows || y >= cols)
return;
Dtype w = weight[x % channels];
Dtype b = bias[x % channels];
vec_type src_vec = load(src, index);
vec_type dst_vec = src_vec * w + (vec_type)b;
store(dst_vec, dst, index);
}