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breakout [2018/12/27 09:55] beckmanf [PyTorch] long jobs |
breakout [2020/12/23 12:55] beckmanf added Deskproto breakout install |
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| * Intel X540-T2 10GB Base-T Ethernet Netzwerkanschluss | * Intel X540-T2 10GB Base-T Ethernet Netzwerkanschluss | ||
| * 4 x NVIDIA Geforce GTX 1080 mit GP104 Pascal, 2560 Cores, 8 GB RAM | * 4 x NVIDIA Geforce GTX 1080 mit GP104 Pascal, 2560 Cores, 8 GB RAM | ||
| - | * Debian Linux Jessie, NVIDIA Cuda, Torch | + | * Debian Linux Jessie |
| - | * NVidia Treiber 410.78 | + | * NVidia Treiber 450.80.02 |
| - | * Kernel 3.16.51-3 | + | * Kernel 4.9.0-13 |
| - | * Cuda 10 | + | * Cuda 10, Cuda 8 |
| + | * Tensorflow, Torch | ||
| + | * Docker 19.03.13, Nvidia-docker | ||
| ===== Nutzungshinweise ===== | ===== Nutzungshinweise ===== | ||
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| Once you reconnected to the server, you are ready to use python3 with TensorFlow. | Once you reconnected to the server, you are ready to use python3 with TensorFlow. | ||
| + | |||
| + | ==== Deskproto ==== | ||
| + | |||
| + | The Deskproto CAM software is installed and can be started from with GUI | ||
| + | |||
| + | <code> | ||
| + | vglrun -display :0.3 /opt/deskproto/DeskProto_7.0_de_Linux_20200909-x86_64_Rev9761.AppImage | ||
| + | </code> | ||
| + | |||
| + | The display option in the example above will result in running on GPU 3. | ||