I'M Using Tensorboard Summarywriter To Add Scalar Metrics For The Experiment. If Experiment Crashed, And I Want To Continue It From Checkpoint, For Some Reason It Plots Metrics In A Really Weird Way. Even Though I Pass Global_Step=Epoch To The Summarywrit

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task = Task.get_task(task_id = args.task_id)
task.mark_started()
task.set_parameters_as_dict(
{
"General": {
"checkpoint_file": model.url,
"restart_optimizer": False,
}
}
)
task.set_initial_iteration(0)
task.mark_stopped()
Task.enqueue(task = task, queue_name = task.data.execution.queue)

  				
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	2 years ago

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					DilapidatedParrot58
				
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2 years ago

one year ago