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Both sides previous revision Previous revision 2022/09/20 09:39 rosa [GPU at ÚFAL] todo slurm2022/09/07 14:38 vodrazka 2022/08/23 13:15 vodrazka 2022/08/23 13:14 vodrazka 2022/08/23 11:57 fucik [Servers with GPU units] 2022/08/23 11:56 fucik [Servers with GPU units] 2021/12/15 17:57 kasner [Set-up CUDA and CUDNN] 2021/12/15 17:57 kasner [Pytorch Environment] 2021/12/15 17:53 kasner Update CUDA version2021/12/03 17:28 vodrazka 2021/12/03 17:27 vodrazka 2021/12/03 17:27 vodrazka 2021/08/31 12:25 vodrazka [Servers with GPU units] 2021/07/02 16:50 ptacek 2021/07/02 16:49 ptacek 2021/07/02 13:25 vodrazka 2021/07/02 13:19 vodrazka [Servers with GPU units] 2021/02/15 13:21 vodrazka [Servers with GPU units] 2021/02/15 13:20 vodrazka [Servers with GPU units] 2021/02/15 12:51 vodrazka [Servers with GPU units] 2021/02/15 12:41 vodrazka [Servers with GPU units] 2021/02/15 12:36 vodrazka [Servers with GPU units] 2021/02/15 12:35 vodrazka [Servers with GPU units] 2021/02/04 16:39 krubinski [Basic commands] 2020/09/14 15:29 fucik [Rules] 2020/09/14 15:28 fucik [Rules] 2020/07/27 13:12 dusek [Servers with GPU units] 2020/03/14 15:49 popel [Servers with GPU units] 2020/03/14 12:16 popel [Rules] 2020/03/06 15:14 popel one bad GPU removed from dll62020/03/06 09:14 vodrazka [Servers with GPU units] 2019/11/12 16:03 popel [Set-up CUDA and CUDNN] 2019/11/08 09:57 vodrazka [Servers with GPU units] 2019/10/31 09:23 vodrazka Go		2022/09/20 09:39 rosa [GPU at ÚFAL] todo slurm2022/09/07 14:38 vodrazka 2022/08/23 13:15 vodrazka 2022/08/23 13:14 vodrazka 2022/08/23 11:57 fucik [Servers with GPU units] 2022/08/23 11:56 fucik [Servers with GPU units] 2021/12/15 17:57 kasner [Set-up CUDA and CUDNN] 2021/12/15 17:57 kasner [Pytorch Environment] 2021/12/15 17:53 kasner Update CUDA version2021/12/03 17:28 vodrazka 2021/12/03 17:27 vodrazka 2021/12/03 17:27 vodrazka 2021/08/31 12:25 vodrazka [Servers with GPU units] 2021/07/02 16:50 ptacek 2021/07/02 16:49 ptacek 2021/07/02 13:25 vodrazka 2021/07/02 13:19 vodrazka [Servers with GPU units] 2021/02/15 13:21 vodrazka [Servers with GPU units] 2021/02/15 13:20 vodrazka [Servers with GPU units] 2021/02/15 12:51 vodrazka [Servers with GPU units] 2021/02/15 12:41 vodrazka [Servers with GPU units] 2021/02/15 12:36 vodrazka [Servers with GPU units] 2021/02/15 12:35 vodrazka [Servers with GPU units] 2021/02/04 16:39 krubinski [Basic commands] 2020/09/14 15:29 fucik [Rules] 2020/09/14 15:28 fucik [Rules] 2020/07/27 13:12 dusek [Servers with GPU units] 2020/03/14 15:49 popel [Servers with GPU units] 2020/03/14 12:16 popel [Rules] 2020/03/06 15:14 popel one bad GPU removed from dll62020/03/06 09:14 vodrazka [Servers with GPU units] 2019/11/12 16:03 popel [Set-up CUDA and CUDNN] 2019/11/08 09:57 vodrazka [Servers with GPU units] 2019/10/31 09:23 vodrazka 2019/10/18 09:57 vodrazka [Servers with GPU units] 2019/10/02 14:34 vodrazka [Servers with GPU units] 2019/10/02 14:33 vodrazka [Servers with GPU units] 2019/08/27 19:12 popel [Rules] 2019/08/27 19:10 popel [Rules] 2019/07/15 11:21 vodrazka [Servers with GPU units] 2019/07/02 15:18 vodrazka [Servers with GPU units] 2019/04/17 15:13 ufal [Servers with GPU units] 2019/04/17 14:11 ufal [Servers with GPU units] 2019/03/05 13:15 vodrazka [Servers with GPU units] 2019/02/11 13:03 popel [Rules] at se pouziva i gpu-troja2019/02/11 10:50 naplava [Servers with GPU units] 2019/02/07 10:44 vodrazka GPU troja machines added2019/01/08 09:36 vodrazka [Servers with GPU units] 2018/12/19 12:21 vodrazka GPU machine table update2018/12/16 16:26 straka [Rules] 2018/12/01 21:09 popel [Rules] -pe smp now works with gpu Go Next revision Both sides next revision
gpu [2021/12/15 17:53] kasner Update CUDA version		gpu [2021/12/15 17:57] kasner [Pytorch Environment]
Line 89:		Line 89:
	This environment have TensorFlow 1.8.0 and all necessary requirements for NeuralMonkey.		This environment have TensorFlow 1.8.0 and all necessary requirements for NeuralMonkey.
-	==== Pytorch Environment ====	+	==== PyTorch Environment ====
-	If you want to use pytorch, there is a ready-made environment in	+	Install PyTorch following the instructions on https://pytorch.org.
-	/home/hajicj/anaconda3/envs/pytorch/bin	+	At the time of writing, the recommended setup for CUDA 11.1 (supported by all GPU nodes) is:
-		+
-	It does rely on the CUDA and CuDNN setup above.	+
		+	pip3 install torch==1.10.0+cu111 torchvision==0.11.1+cu111 torchaudio==0.10.0+cu111 -f https://download.pytorch.org/whl/cu111/torch_stable.html
	==== Using cluster ====		==== Using cluster ====

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