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oliverhu avatar oliverhu commented on August 23, 2024

That is the VMEM used by your TF jobs, tf uses minimal vmem. If you use GPU for your training, you're guaranteed to use all a huge amount of vmem.

from tony.

erwa avatar erwa commented on August 23, 2024

In our deep learning cluster, we've disabled YARN's vmem check by setting

<property>
  <name>yarn.nodemanager.vmem-check-enabled</name>
  <value>false</value>
  <description>Whether virtual memory limits will be enforced for containers.</description>
</property>

Ref: https://stackoverflow.com/questions/14110428/am-container-is-running-beyond-virtual-memory-limits

from tony.

charlieguo0307 avatar charlieguo0307 commented on August 23, 2024

In our deep learning cluster, we've disabled YARN's vmem check by setting

<property>
  <name>yarn.nodemanager.vmem-check-enabled</name>
  <value>false</value>
  <description>Whether virtual memory limits will be enforced for containers.</description>
</property>

Ref: https://stackoverflow.com/questions/14110428/am-container-is-running-beyond-virtual-memory-limits

Thanks!It solves my problem.

from tony.

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