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feat: Add target_model to support multi-model endpoints #3215

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Merged
merged 1 commit into from
Jul 11, 2022
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feat: Add target_model to support multi-model endpoints #3215

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5 changes: 5 additions & 0 deletions src/sagemaker/clarify.py
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Original file line number Diff line number Diff line change
Expand Up @@ -200,6 +200,7 @@ def __init__(
custom_attributes=None,
accelerator_type=None,
endpoint_name_prefix=None,
target_model=None,
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is this a required param?

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No

):
r"""Initializes a configuration of a model and the endpoint to be created for it.
Expand Down Expand Up @@ -234,6 +235,9 @@ def __init__(
for making inferences to the model.
endpoint_name_prefix (str): The endpoint name prefix of a new endpoint. Must follow
pattern ``^[a-zA-Z0-9](-\*[a-zA-Z0-9]``.
target_model (str): Sets the target model name when using a multi-model endpoint. For
more information about multi-model endpoints, see
https://docs.aws.amazon.com/sagemaker/latest/dg/multi-model-endpoints.html
Raises:
ValueError: when the ``endpoint_name_prefix`` is invalid, ``accept_type`` is invalid,
Expand Down Expand Up @@ -281,6 +285,7 @@ def __init__(
self.predictor_config["content_template"] = content_template
_set(custom_attributes, "custom_attributes", self.predictor_config)
_set(accelerator_type, "accelerator_type", self.predictor_config)
_set(target_model, "target_model", self.predictor_config)

def get_predictor_config(self):
"""Returns part of the predictor dictionary of the analysis config."""
Expand Down
3 changes: 3 additions & 0 deletions tests/unit/test_clarify.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,6 +240,7 @@ def test_model_config():
accept_type = "text/csv"
content_type = "application/jsonlines"
custom_attributes = "c000b4f9-df62-4c85-a0bf-7c525f9104a4"
target_model = "target_model_name"
accelerator_type = "ml.eia1.medium"
model_config = ModelConfig(
model_name=model_name,
Expand All @@ -249,6 +250,7 @@ def test_model_config():
content_type=content_type,
custom_attributes=custom_attributes,
accelerator_type=accelerator_type,
target_model=target_model,
)
expected_config = {
"model_name": model_name,
Expand All @@ -258,6 +260,7 @@ def test_model_config():
"content_type": content_type,
"custom_attributes": custom_attributes,
"accelerator_type": accelerator_type,
"target_model": target_model,
}
assert expected_config == model_config.get_predictor_config()

Expand Down