Open jamborta opened 9 years ago
Hi,
nothing changed, everything should work. Check again the arguments you are passing. If not, send the code you are running, I'll check it.
Sergey.
Hi, this question is originated from the very first step, so I'd like to post it in the same topic here. in the settings.h file: // COMP_REGIME = 1 -> MULTITHREAD CPU do you mean multithread GPU? is this option faster than the option 2? (Sr, I'm newbie to CUDA)
where can i find "compile" script? is it Makefile? or compile.m? if it's compile.m, what parameters should I pass to compile?
"do you mean multithread GPU?" No, I mean multithread CPU.
"where can i find "compile" script? is it Makefile? or compile.m? if it's compile.m, what parameters should I pass to compile?"
Makefile is for compiling the GPU version on Linux. compile.m is for compiling all versions (1-CPU, 2-multithread CPU, 3-GPU) on both Windows and Linux. The parameter is the number of version.
Hello,
I get the same error during the compilation of your code.
Error using genweights_mex Assertion Failed: In 'mexGetScalar' mx_array is not numeric
Error in genweights (line 4) weights = genweights_mex(layers, params);
Error in cnnexamples (line 82) weights = single(genweights(layers, params, funtype));
Can you help me out there?
@HosnaCSE did you solve your problem? May I know how u solve it??
Thank you.
Hi Sergey,
thank you for sharing this code.
I am trying to run one of your examples ( the cpu version of it), but it fails with the following error:
Error using genweights_mex Assertion Failed: In 'mexGetScalar' mx_array is not numeric
Error in genweights (line 4) weights = genweights_mex(layers, params);
Error in cnnexamples (line 82) weights = single(genweights(layers, params, funtype));
looks like the signature of genweights_mex changed?