sagemaker-python-sdk
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aws
A library for training and deploying machine learning models on Amazon SageMaker
**Describe the bug** The `importlib-metadata=4.4 (from sagemaker==2.92.1->face-animation==1.0->-r requirements/dev.in (line 3)) Tried: 0.0, 0.1, 0.1, 0.2, 0.2, 0.3, 0.3, 0.4, 0.4, 0.5, 0.5, 0.6, 0.6, 0.7, 0.7, 0.8, 0.8, 0.9, 0.9,...
**Describe the bug** Sagemaker arbitrarily stops copying checkpoints to S3, copy those up to epoch 9 (see logs below) and then that's it (although the logs show that more have...
**Describe the bug** Feature Group ingest method fails to insert several records sporadically and throws an exception ```Failed to ingest row 0: An error occurred (ValidationError) when calling the PutRecord...
pip is failing for me due to conflicts between sagemaker and aws-cdk-lib, both of which are dependencies in my project. Specifically, it's due to the attrs dependency. Pip spits out...
**Describe the feature you'd like** The default behaviour of SageMaker Python SDK when updating an inference endpoint is to throw away whatever value for desired instance count there is currently...
Extend the set of types that are not handled by json.dumps to elementary types. *Issue #2949 *Description of changes:* *Testing done:* Local test. ## Merge Checklist _Put an `x` in...
**Describe the bug** An `AsyncPredictor` (returned when deploying an async inference endpoint) exposes `.serializer` and `.deserializer` properties like a typical `Predictor` does... But behaviour of these properties is not consistent...
**Describe the feature you'd like** Is there any possibility that a way could be found to enable `checkpoint_s3_uri` in local mode? https://github.com/aws/sagemaker-python-sdk/blob/5b8eb10bfddcb54fb65c8b28f923697619672120/src/sagemaker/estimator.py#L1897 **How would this feature be used? Please describe.**...
*Issue #, if available:* *Description of changes:* Allow Py 3.7 for MMS Test Docker env *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can...
*Issue #, if available:* *Description of changes:* Updating the config validation for the modelparallel library, based on the latest release. *Testing done:* Ran GPT-2 example script with the updated SageMaker...
