I'm porting GitHub - lincolnhard/darknet-clblast: Run darknet using OpenCL backend with CLBlast sgemm
on i.mx6q board, I got some errors, here's the log:
r$ ./clb-darknet detect cfg/yolov2-tiny.cfg yolov2-tiny.weights data/dog.jpg > run.log
layer filters size input output
0 conv 16 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 16
1 max 2 x 2 / 2 416 x 416 x 16 -> 208 x 208 x 16
2 conv 32 3 x 3 / 1 208 x 208 x 16 -> 208 x 208 x 32
3 max 2 x 2 / 2 208 x 208 x 32 -> 104 x 104 x 32
4 conv 64 3 x 3 / 1 104 x 104 x 32 -> 104 x 104 x 64
5 max 2 x 2 / 2 104 x 104 x 64 -> 52 x 52 x 64
6 conv 128 3 x 3 / 1 52 x 52 x 64 -> 52 x 52 x 128
7 max 2 x 2 / 2 52 x 52 x 128 -> 26 x 26 x 128
8 conv 256 3 x 3 / 1 26 x 26 x 128 -> 26 x 26 x 256
9 max 2 x 2 / 2 26 x 26 x 256 -> 13 x 13 x 256
10 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512
11 max 2 x 2 / 1 13 x 13 x 512 -> 13 x 13 x 512
12 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024
13 conv 512 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x 512
14 conv 425 1 x 1 / 1 13 x 13 x 512 -> 13 x 13 x 425
15 detection
mask_scale: Using default '1.000000'
Loading weights from yolov2-tiny.weights...Done!
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clCreateKernel: -5
CLBlast: OpenCL error: clEnqueueNDRangeKernel: -54
CLBlast: OpenCL error: clEnqueueNDRangeKernel: -54
CLBlast: OpenCL error: clCreateKernel: -5
the opencl error -5 means 'out of resource'
I traced the code that caused the problem was the attached file 'xgemm_direct_part3.opencl'
Is there any document about i.mx6q gpu for opencl resource limitation?
How can I optimize the xgemm opencl code to use less resources?
Any suggestion would be appreciated.
