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Hello, developers. I used the school's cluster to train the potential function model. During the training process, each task submitted by dpgen needs to be queued, which leads to a very long time to train the model. Is there a way to combine all the iterations of the training process Tasks packed into one task?It means that submitting a task can calculate all the iterations.
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Hello, developers. I used the school's cluster to train the potential function model. During the training process, each task submitted by dpgen needs to be queued, which leads to a very long time to train the model. Is there a way to combine all the iterations of the training process Tasks packed into one task?It means that submitting a task can calculate all the iterations.
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