Hello, I Would Like To Use Spot Instances Together With The Aws Autoscaler To Train Models With Pytorch/Ignite And I Am Wondering How To Support Interruptions During The Training (In Case The Instance Is Terminated By Aws). Is There Anything Already Built

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ClearML has a task.set_initial_iteration , I used it as such:
checkpoint = torch.load(checkpoint_fp, map_location="cuda:0") Checkpoint.load_objects(to_load=self.to_save, checkpoint=checkpoint) task.set_initial_iteration(engine.state.iteration)But still the same issue, I am not sure whether I use it correctly and if it’s a bug or not, AgitatedDove14 ? (I am using clearml 1.0.4rc1, clearml-agent 1.0.0)

  				
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	2 years ago

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2 years ago

one year ago