sagemaker-python-sdk
sagemaker-python-sdk copied to clipboard
aws
A library for training and deploying machine learning models on Amazon SageMaker
*Issue #, if available:* *Description of changes:* I'm adding some updates to the PyTorch docs to document a new parameter ('context') that customers can use for multi-GPU use cases. This...
**Describe the bug** I'm encountering an OOM error while using the Hugging Face Estimator API while following the [Spot Instance training sample](https://github.com/huggingface/notebooks/blob/main/sagemaker/05_spot_instances/sagemaker-notebook.ipynb) which basically needs a way to resume training...
**Describe the bug** If nested objects from a S3 bucket is downloaded to a temp file using [boto3.client.download_file()](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html#S3.Bucket.download_file), and then re-uploaded to another S3 bucket using [boto3.client.upload_file()](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html#S3.Client.upload_file), [sagemaker.session.download_data()](https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/session.py#L275) is unable...
*Description of changes:* Add a security note for hyperparameters *Testing done:* `tox -e black-check,flake8,docstyle,sphinx,doc8,twine --parallel all` ## Merge Checklist _Put an `x` in the boxes that apply. You can also...
I'm currently trying to use AWS DeepAR to forecast the settlement price for some electricity pricing. When I try to import the image_uris from sagemaker as indicated [here](https://docs.aws.amazon.com/sagemaker/latest/dg/ecr-us-west-1.html#forecasting-deepar-us-west-1.title) I am...
**Describe the bug** Generating SageMaker Pipeline definition fails if hyperparameters defined as PipelineVariable are passed to a training step. **Expected behavior** Should PipelineVariable(s) be supported for `hyperparametes`? In Estimator's constructor...
*Issue #, if available:* #3272 *Description of changes:* The `DefaultEnumMeta` metaclass is malfunctioned. Enum types defined with this couldn't be instantiated correctly. For example, `StepTypeEnum('Processing')` leads to `StepTypeEnum.CONDITION` Removed this...
Hey all, thanks for the nice software! I've been struggling to find a good way to deploy a sagemaker model in a serverless fashion. It seems like a great solution...
Sagemaker local client invoke_endpoint method returns a different response than using the boto3 runtime_client, so it makes debugging difficult in local mode, because the same code wouldn't work in production....
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
