macOS support #5
Comments
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-11 is CL_BUILD_PROGRAM _FAILURE There must be an unsupported extension used to build a CL module from clBuildProgram. You can get more information by digging up which file caused the error and examining more detailed error data which should indicate the line and/or failure. |
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@OliverUrbann Could you describe your small changes? I am not able to build it at the moment, but I am trying to create a pull request which adds MacOS support (https://github.com/cansik/Darknet-On-OpenCL). Currently I have following problem at the end of the |
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Ok I could build it now but I have the same error for the following command: @victorv Could you give us a hint how to check which extension is missing? Is it maybe the problem that Apple is only supporting OpenCL 1.2? |
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The error trap: 6 is a sig abort so you will need to run it with the debugger and figure out where the c++ library is aborting. |
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To be honest I lost interest in the port as I noticed that macOS supports OpenCL but not for the integrated GPU (at least on my system), only for CPU. |
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Debugged the executable with lldb: |
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Hi @cansik |
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@ganyc717 Thank you, I tried it but it is still the same error. I think will buy an NVIDIA card together with an eGPU ;) |
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Could it be a problem that we are using Update: Nope, doesn't make a difference. |
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With the newest master release (1dd549b) it is possible to run the network and load the model, but there are still errors. ./darknet detect yolov2.cfg yolov2.weights data/dog.jpg
layer filters size input output
0 conv 32 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 32 0.299 BFLOPs
1 blas_kernels_1.cl build log:
<program source>:11:12: warning: comparison of integers of different signs: 'size_t' (aka 'unsignedlong') and 'int'
if(offset < size) output[global_z*size + offset] *= biases[filter];
~~~~~~ ^ ~~~~
<program source>:223:10: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int'
if(i < N) Y[OFFY+i*INCY] += ALPHA*X[OFFX+i*INCX];
~ ^ ~
<program source>:250:10: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int'
if(i < N) {
~ ^ ~
<program source>:261:10: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int'
if(i < N) X[i*INCX] += ALPHA;
~ ^ ~
<program source>:270:10: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int'
if(i < N) X[i*INCX] *= ALPHA;
~ ^ ~
<program source>:279:7: warning: comparison of integers of different signs: 'size_t' (aka 'unsignedlong') and 'int'
if(i < N) X[i*INCX] = ALPHA;
~ ^ ~
<program source>:294:10: warning: comparison of integers of different signs: 'size_t' (aka 'unsigned long') and 'int'
if(i < N) Y[i*INCY] *= X[i*INCX];
~ ^ ~
max 2 x 2 / 2 416 x 416 x 32 -> 208 x 208 x 32
2 conv 64 3 x 3 / 1 208 x 208 x 32 -> 208 x 208 x 64 1.595 BFLOPs
3 max 2 x 2 / 2 208 x 208 x 64 -> 104 x 104 x 64
4 conv 128 3 x 3 / 1 104 x 104 x 64 -> 104 x 104 x 128 1.595 BFLOPs
5 conv 64 1 x 1 / 1 104 x 104 x 128 -> 104 x 104 x 64 0.177 BFLOPs
6 conv 128 3 x 3 / 1 104 x 104 x 64 -> 104 x 104 x 128 1.595 BFLOPs
7 max 2 x 2 / 2 104 x 104 x 128 -> 52 x 52 x 128
8 conv 256 3 x 3 / 1 52 x 52 x 128 -> 52 x 52 x 256 1.595 BFLOPs
9 conv 128 1 x 1 / 1 52 x 52 x 256 -> 52 x 52 x 128 0.177 BFLOPs
10 conv 256 3 x 3 / 1 52 x 52 x 128 -> 52 x 52 x 256 1.595 BFLOPs
11 max 2 x 2 / 2 52 x 52 x 256 -> 26 x 26 x 256
12 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
13 conv 256 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 256 0.177 BFLOPs
14 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
15 conv 256 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 256 0.177 BFLOPs
16 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
17 max 2 x 2 / 2 26 x 26 x 512 -> 13 x 13 x 512
18 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
19 conv 512 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 512 0.177 BFLOPs
20 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
21 conv 512 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 512 0.177 BFLOPs
22 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
23 conv 1024 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x1024 3.190 BFLOPs
24 conv 1024 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x1024 3.190 BFLOPs
25 route 16
26 conv 64 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 64 0.044 BFLOPs
27 reorg / 2 26 x 26 x 64 -> 13 x 13 x 256
28 route 27 24
29 conv 1024 3 x 3 / 1 13 x 13 x1280 -> 13 x 13 x1024 3.987 BFLOPs
30 conv 425 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 425 0.147 BFLOPs
31 detection
mask_scale: Using default '1.000000'
Loading weights from yolov2.weights...Done!
im2col_kernels.cl build log:
<program source>:36:18: warning: '/*' within block comment
//*data_col_ptr = data_im_ptr[ii * width + jj];
^
activation_kernels.cl build log:
<program source>:11:7: warning: no previous prototype for function 'lhtan_activate_kernel'
float lhtan_activate_kernel(float x)
^
<program source>:18:7: warning: no previous prototype for function 'lhtan_gradient_kernel'
float lhtan_gradient_kernel(float x)
^
<program source>:24:7: warning: no previous prototype for function 'hardtan_activate_kernel'
float hardtan_activate_kernel(float x)
^
<program source>:30:7: warning: no previous prototype for function 'linear_activate_kernel'
float linear_activate_kernel(float x){return x;}
^
<program source>:31:7: warning: no previous prototype for function 'logistic_activate_kernel'
float logistic_activate_kernel(float x){return 1.f/(1.f + exp(-x));}
^
<program source>:32:7: warning: no previous prototype for function 'loggy_activate_kernel'
float loggy_activate_kernel(float x){return 2.f/(1.f + exp(-x)) - 1;}
^
<program source>:33:7: warning: no previous prototype for function 'relu_activate_kernel'
float relu_activate_kernel(float x){return x*(x>0);}
^
<program source>:34:7: warning: no previous prototype for function 'elu_activate_kernel'
float elu_activate_kernel(float x){return (x >= 0)*x + (x < 0)*(exp(x)-1);}
^
<program source>:35:7: warning: no previous prototype for function 'relie_activate_kernel'
float relie_activate_kernel(float x){return (x>0) ? x : .01f*x;}
^
<program source>:36:7: warning: no previous prototype for function 'ramp_activate_kernel'
float ramp_activate_kernel(float x){return x*(x>0)+.1f*x;}
^
<program source>:37:7: warning: no previous prototype for function 'leaky_activate_kernel'
float leaky_activate_kernel(float x){return (x>0) ? x : .1f*x;}
^
<program source>:38:7: warning: no previous prototype for function 'tanh_activate_kernel'
float tanh_activate_kernel(float x){return (2.f/(1 + exp(-2*x)) - 1);}
^
<program source>:39:7: warning: no previous prototype for function 'plse_activate_kernel'
float plse_activate_kernel(float x)
^
<program source>:46:7: warning: no previous prototype for function 'stair_activate_kernel'
float stair_activate_kernel(float x)
^
<program source>:54:7: warning: no previous prototype for function 'hardtan_gradient_kernel'
float hardtan_gradient_kernel(float x)
^
<program source>:59:7: warning: no previous prototype for function 'linear_gradient_kernel'
float linear_gradient_kernel(float x){return 1;}
^
<program source>:60:7: warning: no previous prototype for function 'logistic_gradient_kernel'
float logistic_gradient_kernel(float x){return (1-x)*x;}
^
<program source>:61:7: warning: no previous prototype for function 'loggy_gradient_kernel'
float loggy_gradient_kernel(float x)
^
<program source>:67:7: warning: no previous prototype for function 'relu_gradient_kernel'
float relu_gradient_kernel(float x){return (x>0);}
^
<program source>:68:7: warning: no previous prototype for function 'elu_gradient_kernel'
float elu_gradient_kernel(float x){return (x >= 0) + (x < 0)*(x + 1);}
^
<program source>:69:7: warning: no previous prototype for function 'relie_gradient_kernel'
float relie_gradient_kernel(float x){return (x>0) ? 1 : .01f;}
^
<program source>:70:7: warning: no previous prototype for function 'ramp_gradient_kernel'
float ramp_gradient_kernel(float x){return (x>0)+.1f;}
^
<program source>:71:7: warning: no previous prototype for function 'leaky_gradient_kernel'
float leaky_gradient_kernel(float x){return (x>0) ? 1 : .1f;}
^
<program source>:72:7: warning: no previous prototype for function 'tanh_gradient_kernel'
float tanh_gradient_kernel(float x){return 1-x*x;}
^
<program source>:73:7: warning: no previous prototype for function 'plse_gradient_kernel'
float plse_gradient_kernel(float x){return (x < 0 || x > 1) ? .01f : .125f;}
^
<program source>:74:7: warning: no previous prototype for function 'stair_gradient_kernel'
float stair_gradient_kernel(float x)
^
<program source>:80:7: warning: no previous prototype for function 'activate_kernel'
float activate_kernel(float x, int a)
^
<program source>:113:7: warning: no previous prototype for function 'gradient_kernel'
float gradient_kernel(float x, int a)
^
opencl execution error, code -11 -11
libc++abi.dylib: terminating with uncaught exception of type std::runtime_error: OpenCL error, code: -11
Abort trap: 6 |
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I made some small changes to the code and now it compiles on macOS High Sierra. However, running seems to be a problem. Executing:
build/darknet_cl detector demo cfg/coco.data cfg/yolo.cfg yolo.weightsleads to:
Demo layer filters size input output 0 conv 32 3 x 3 / 1 608 x 608 x 3 -> 608 x 608 x 32 1 opencl execution error, code -11 -11 libc++abi.dylib: terminating with uncaught exception of type std::runtime_error: OpenCL error, code: -11I'm not an expert for OpenCL and maybe someone has an idea before I spend a lot of time investigating this.
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