While training a model on AWS Sagemaker(let us assume training takes 15 hours or more). If our laptop lose internet connection in between, the Kernal on which it is training will die. But the model continues to train (I confirmed…
I would like to run my model 30 days in using aws sagemaker training job, but its max time is 5 days, how to resume the earlier to proceed further
I'm using the following code to do a sklearn transformation job in sagemaker: region = boto3.session.Session().region_name role = sagemaker.get_execution_role() sklearn_processor = SKLearnProcessor( framework_version="1.0-1", role=role, instance_type="ml.m5.xlarge", instance_count=1, # sagemaker_session = Session() ) out_path = os.path.join(bucket, prefix, f'test_transform/data.csv') sklearn_processor.run( code="preprocess.py", inputs =…
I am following this documentation page to understand SageMaker's distributed training feature. It says here that:- The SageMaker distributed training libraries are available only through the AWS deep learning containers for the TensorFlow, PyTorch, and HuggingFace frameworks within the SageMaker training platform. …
When porting PyTorch code / models to SageMaker, which one should we use: PyTorch Training Toolkit (https://github.com/aws/sagemaker-pytorch-training-toolkit/) or SageMaker Training Toolkit (https://github.com/aws/sagemaker-training-toolkit)? What's the difference when using these toolkits?
Does Amazon SageMaker built-in LightGBM algorithm support distributed training? I use Databricks for distributed training of LightGBM today. If SageMaker built-in LightGBM supports distributed training, I would consider migrating to SageMaker. It is not clear in the Amazon SageMaker's built-in…
I've been using SageMaker for a while and have performed several experiments already with distributed training. I am wondering if it is possible to test and run SageMaker distributed training in local mode (using SageMaker Notebook Instances)?
In Java, for instance, we have a class that represents the SageMaker client class: AmazonSageMakerClient, but I couldn't find the equivalent for Python. I was hoping to be able to do something like: from sagemaker import SageMakerClient client: SageMakerClient =…
i tried to SageMaker MLOps Project Walkthrough Using Third-party Git Repos using AWS pipline. I am begginer in AWS. But always It shows 'Studio encountered an error when creating your project. Try recreating the project again. User: arn:aws:sts::494026973566:assumed-role/AmazonSageMakerServiceCatalogProductsLaunchRole/servicecatalog is not…
I want to enable data capture for a specific endpoint (so far, only via the console). The endpoint works fine and also logs & returns the desired results. However, no files are written to the specified S3 location. Endpoint Configuration…