CUDA-D CEDD: CUDA error: invalid resource handle

[Carl Pearson]

Hello,

I'm using version 1.0 alpha (539efc98da372d14375da597e4a1de2b21d5f3f2) and in CUDA-D/CEDD, I get the following error while running:

Allocation Time (ms): 0.519392

Initialization Time (ms): 4518.842773

CUDA error: invalid resource handle

 at main.cpp, 246

It only happens sometimes. Other times the run appears to complete, for example:

Allocation Time (ms): 0.438560

Initialization Time (ms): 4522.772949

Total Proxies Time (ms): 1035.043701

CPU Proxy:

CPU Proxy: Kernel Time (ms): 1029.003052

GPU Proxy:

GPU Proxy: Copy To Device Time (ms): 3.672736

GPU Proxy: Kernel Time (ms): 5.394463

GPU Proxy: Copy Back Time (ms): 6.744096

Deallocation Time (ms): 0.434240

Test Passed

My system:

nvcc: NVIDIA (R) Cuda compiler driver

Copyright (c) 2005-2016 NVIDIA Corporation

Built on Tue_Jan_10_13:28:28_CST_2017

Cuda compilation tools, release 8.0, V8.0.61

gcc (Ubuntu/IBM 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609

Copyright (C) 2015 Free Software Foundation, Inc.

This is free software; see the source for copying conditions.  There is NO

warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

[Juan Gómez Luna]

Hi Carl,

I’m trying to reproduce the error, but I can’t.

The error is in the first kernel launch (gaussian).

The description of this error is:

cudaErrorInvalidResourceHandle

This indicates that a resource handle passed to the API call was not valid. Resource handles are opaque types like cudaStream_t and cudaEvent_t.

We aren’t using streams, but we use events for timing purposes. However, the events in, for instance, timer.start("GPU Proxy: Kernel”); are declared within the CPU thread body.

Perhaps cudaError_t (variable type of cudaStatus) is also a resource handle. This one is actually declared in the main thread, not in the proxy thread.

If you find the error again, I suggest you declare cudaStatus within the proxy thread body.

What do you think?

Thanks,

Juan

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