kunmonster

Results 8 comments of kunmonster

Issues with Incompatible TensorRT libraries in docker image google/deepvariant:latest-gpu and google/deepvariant:1.6.1-gpu

Hi,In fact,you can find the path of above missing library and add them into LD_LIBRARY_PATH the the warning will be eliminated. I have the same problem with you ,and solve...

CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

> Hi @kunmonster , Could you please provide a command line that you use to run DeepVariant? Sorry,the command line is in the top of the second picture. Actually,i run...

CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

Happy to see the reply,actually, i run this on hpc and the usage of the gpu is very low , but the cpu and memory usage is extremely high ,...

CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

There are the pictures for the usage of gpu ![image](https://github.com/google/deepvariant/assets/71956115/84cd43f4-3828-4bcb-ac71-826c8dc2a06b) ![image](https://github.com/google/deepvariant/assets/71956115/803bad2e-7999-4309-b5fe-ddac360288b5)

CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

> Did you run `tensorflow.test.is_gpu_available()` from the DeepVariant docker? Yes i did , I have posted the result which shows that in python shell the gpu can be identified with...

CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

Thanks @pichuan, I think this problem may be caused by the hpc what i am using,actually the gpus of this hpc are not from nvidia,instead they are made for deeplearning...

Warning: Unsupported SVTYPE at variant MantaBND:93:0:1:0:1:0:0 (TRA). Skipping.

Hi there , have u found a method to solve this problem or another strategy to choose.

How ca I merged same samples called by different tools without duplicating IDs?

Hava u solved this problem?