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b3rl1go
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Message 8096 - Posted: 10 Feb 2022, 9:20:10 UTC
Last modified: 10 Feb 2022, 9:20:39 UTC

Hi,

My Nvidia can't run "TF v0.12 (cuda111)".
Ma Nvidia ne peut pas exécuter les "TF v0.12 (cuda111)".

I only can crunch on the "TF v0.14 (cuda100)".
J'arrive seulement à cruncher sur les "TF v0.14 (cuda100)".

How can i say to Boinc to download only "TF v0.14" and ignore the other ?
Comment puis-je dire à Boinc de ne télécharger que les "TF v0.14" et ignorer les autres ?

Thank's
Merci

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Message 8097 - Posted: 10 Feb 2022, 11:54:53 UTC - in response to Message 8096.

Hi,

My Nvidia can't run "TF v0.12 (cuda111)".
Ma Nvidia ne peut pas exécuter les "TF v0.12 (cuda111)".

I only can crunch on the "TF v0.14 (cuda100)".
J'arrive seulement à cruncher sur les "TF v0.14 (cuda100)".

How can i say to Boinc to download only "TF v0.14" and ignore the other ?
Comment puis-je dire à Boinc de ne télécharger que les "TF v0.14" et ignorer les autres ?

Thank's
Merci


You must change your driver, see FAQ

b3rl1go
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Message 8098 - Posted: 10 Feb 2022, 11:59:27 UTC - in response to Message 8097.

You must change your driver, see FAQ


I Can't. I'm on a Linux VM and i am not admin.

b3rl1go
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Message 8099 - Posted: 10 Feb 2022, 14:28:22 UTC - in response to Message 8098.

I just try to add an app_config.xml with the Following lines but it don't work.
I'm still downloading TF v0.12 (cuda111)

<app_config> <app> <name>TF</name> <max_concurrent>1</max_concurrent> <gpu_versions> <cpu_usage>0.1</cpu_usage> </gpu_versions> <app_version> <app_name>cuda100</app_name> </app_version> </app> </app_config>


An idea?

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Message 8100 - Posted: 10 Feb 2022, 14:49:41 UTC - in response to Message 8099.

I just try to add an app_config.xml with the Following lines but it don't work.
I'm still downloading TF v0.12 (cuda111)

<app_config> <app> <name>TF</name> <max_concurrent>1</max_concurrent> <gpu_versions> <cpu_usage>0.1</cpu_usage> </gpu_versions> <app_version> <app_name>cuda100</app_name> </app_version> </app> </app_config>


An idea?


I also have tried this in the past, with your error you can run these failed tasks if you update glibc to v2.29

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Message 8103 - Posted: 11 Feb 2022, 6:27:59 UTC - in response to Message 8100.


I also have tried this in the past, with your error you can run these failed tasks if you update glibc to v2.29


Again, it is impossible to make any update on this linux serveur.

AnandBhat
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Message 8159 - Posted: 28 Mar 2022, 4:58:48 UTC

I too am in the same situation where I cannot update the glibc version.

I have tried to assign no devices to TF cuda111 by setting ngpus to zero with this app_config.xml but I've not had any luck.

<app_config> <app_version> <app_name>TF</app_name> <version_num>12</version_num> <platform>x86_64-pc-linux-gnu</platform> <plan_class>cuda111</plan_class> <avg_ncpus>0</avg_ncpus> <ngpus>0</ngpus> </app_version> </app_config>


I've also tried this without any luck.
<app_config> <app_version> <app_name>TF</app_name> <plan_class>cuda111</plan_class> <avg_ncpus>99.000000</avg_ncpus> <ngpus>99.000000</ngpus> </app_version> <app_version> <app_name>TF</app_name> <plan_class>cuda100</plan_class> <avg_ncpus>1.000000</avg_ncpus> <ngpus>1.000000</ngpus> </app_version> <report_results_immediately/> </app_config>


Any suggestions on how work for TF cuda111 can be avoided?

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Message 8160 - Posted: 28 Mar 2022, 5:08:22 UTC - in response to Message 8159.
Last modified: 28 Mar 2022, 5:11:23 UTC

At the moment only update the driver. I have posted this in mersenne forum to get a smaller glibc2.29 version. There was a guide how to do this. Is someone is able to do this on Ubuntu 18 that would be fine.


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