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Describe the bug
When using an older version of the boto library, it will throw the following error:
ParamValidationError: Parameter validation failed:
Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig
Full stack trace
Traceback (most recent call last):
File "/var/task/app.py", line 90, in handler
llm_model.deploy(
File "/var/lang/lib/python3.8/site-packages/sagemaker/huggingface/model.py", line 315, in deploy
return super(HuggingFaceModel, self).deploy(
File "/var/lang/lib/python3.8/site-packages/sagemaker/model.py", line 1601, in deploy
self._create_sagemaker_model(
File "/var/lang/lib/python3.8/site-packages/sagemaker/model.py", line 907, in _create_sagemaker_model
self.sagemaker_session.create_model(**create_model_args)
File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 3667, in create_model
self._intercept_create_request(create_model_request, submit, self.create_model.__name__)
File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 6102, in _intercept_create_request
return create(request)
File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 3655, in submit
self.sagemaker_client.create_model(**request)
File "/var/runtime/botocore/client.py", line 530, in _api_call
return self._make_api_call(operation_name, kwargs)
File "/var/runtime/botocore/client.py", line 919, in _make_api_call
request_dict = self._convert_to_request_dict(
File "/var/runtime/botocore/client.py", line 990, in _convert_to_request_dict
request_dict = self._serializer.serialize_to_request(
File "/var/runtime/botocore/validate.py", line 381, in serialize_to_request
raise ParamValidationError(report=report.generate_report())
botocore.exceptions.ParamValidationError: Parameter validation failed:
Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig
Sorry, I don't have the boto version handy but will find it and update the ticket. It was very old.
To reproduce
from sagemaker.huggingface.model import HuggingFaceModel
# create Hugging Face Model Class
huggingface_model = HuggingFaceModel(
model_data={'S3DataSource':{'S3Uri': "s3://tmybuckaet",'S3DataType': 'S3Prefix','CompressionType': 'None'}},
role=role, # iam role with permissions to create an Endpoint
transformers_version="4.34.1", # transformers version used
pytorch_version="1.13.1", # pytorch version used
py_version='py310', # python version used
model_server_workers=1, # number of workers for the model server
)
# Let SageMaker know that we've already compiled the model
huggingface_model._is_compiled_model = True
# deploy the endpoint endpoint
predictor = huggingface_model.deploy(
initial_instance_count=1, # number of instances
instance_type="ml.inf2.xlarge", # AWS Inferentia Instance
volume_size = 100
)
Expected behavior
Deploy without errors
Screenshots or logs
Stacktrace above
System information
A description of your system. Please provide:
SageMaker Python SDK version: v2.199.0
Framework name (eg. PyTorch) or algorithm (eg. KMeans): n/a
Framework version: n/a
Python version: 3.11
CPU or GPU: n/a
Custom Docker image (Y/N): Y - running within an AWS Lambda function
Additional context
I think sagemaker-python-sdk should require a recent version of boto to avoid this error. The error is very unhelpful since it doesn't give any hint as to the root cause.
The text was updated successfully, but these errors were encountered:
Sorry, I don't have the boto version handy but will find it and update the ticket. It was very old.
Thank you! We can probably update the boto version requirements when you have more information about this. Otherwise the piece of information in this ticket could be enough for other users who may end up here because they had the same error.
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Describe the bug
When using an older version of the boto library, it will throw the following error:
Full stack trace
Sorry, I don't have the boto version handy but will find it and update the ticket. It was very old.
To reproduce
Expected behavior
Deploy without errors
Screenshots or logs
Stacktrace above
System information
A description of your system. Please provide:
Additional context
I think sagemaker-python-sdk should require a recent version of boto to avoid this error. The error is very unhelpful since it doesn't give any hint as to the root cause.
The text was updated successfully, but these errors were encountered: