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CannyLab / tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings
BSD 3-Clause "New" or "Revised" License
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E: Device warp size not supported. when executed tsnecuda.test() for testing #96

Closed abhi19y closed 3 years ago

abhi19y commented 3 years ago

I was trying to get it running on centos7, with CUDA10.1 but I am always getting the same error E: Device warp size not supported. I have tried with multiple versions of python including python3, python3.8, python3.6

(base) [ /]# nvidia-smi
Wed Mar 17 20:08:57 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.00    Driver Version: 418.87.00    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:00:1E.0 Off |                    0 |
| N/A   40C    P0    27W /  70W |      0MiB / 15079MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
DavidMChan commented 3 years ago

This is likely resolved as of 3.0.0 - I'm going to mark it as clear, but I don't have a T4 machine to test it on. Feel free to re-open if you're still having issues.