(nvmatrix.cu) Kernel execution failed error with cuda5.5

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What steps will reproduce the problem?
1. Compile Success -> Batch Generation Success -> Fail to run convnet.py
2.
3.

What is the expected output? What do you see instead?
src/nvmatrix.cu(394): getLastCudaError() CUDA error : kSetupCurand: Kernel 
execution failed : (8) invalid device function.

What version of the product are you using? On what operating system?
"cuda-convnet2-c67ec1220aca" with cuda5.5/python2.7.3

Please provide any additional information below.
There's no problem with cuda-convnet(convnet1) code, but with cuda-convnet2, 
this error occurred.

Original issue reported on code.google.com by [e-mail] on 1 Aug 2014 at 10:09

[Google Code Exporter]

This can happen if you try to run on a GPU that's too old to support this code. 
I wasn't clear in my disclaimer on the Compiling page, but this code actually 
requires a GPU with shader model 3.5 capability. This includes K20, K40, 
GeForce Titan, etc. But it *does not* include K10 or GeForce 680. These will 
not work.

Original comment by [e-mail] on 2 Aug 2014 at 2:05

[Google Code Exporter]

Thanks. I changed GPU from M2090 to K20 and It's working now.

Original comment by [e-mail] on 6 Aug 2014 at 4:52

[Google Code Exporter]

Original comment by [e-mail] on 6 Aug 2014 at 8:18

• Changed state: WontFix