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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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Member

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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3 changes: 3 additions & 0 deletions src/sagemaker/accept_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,

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in the future, we should think of a way to consolidate all these JS related fields perhaps into a dataclass or kwargs, so we don't need to update all these function prototypes whenever a new feature is added.

) -> str:
"""Retrieves the default accept type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

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check with @judyheflin about how to describe this

Returns:
str: The default accept type to use for the model.

Expand All@@ -117,4 +119,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/content_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -77,6 +77,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default content type for the model matching the given arguments.

Expand All@@ -98,6 +99,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default content type to use for the model.

Expand All@@ -117,6 +119,7 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/deserializers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -97,6 +97,7 @@ def retrieve_default(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> BaseDeserializer:
"""Retrieves the default deserializer for the model matching the given arguments.

Expand All@@ -118,6 +119,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
BaseDeserializer: The default deserializer to use for the model.

Expand All@@ -138,4 +140,5 @@ def retrieve_default(
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
model_type=model_type,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default container environment variables for the model matching the arguments.

Expand DownExpand Up@@ -65,6 +66,7 @@ def retrieve_default(
variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve environment
variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The variables to use for the model.

Expand All@@ -87,4 +89,5 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
instance_type=instance_type,
script=script,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the default training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def retrieve_default(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: The hyperparameters to use for the model.

Expand All@@ -86,6 +88,7 @@ def retrieve_default(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)


Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -68,6 +68,7 @@ def retrieve(
inference_tool=None,
serverless_inference_config=None,
sagemaker_session=DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name=None,
) -> str:
"""Retrieves the ECR URI for the Docker image matching the given arguments.

Expand DownExpand Up@@ -121,6 +122,7 @@ def retrieve(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
str: The ECR URI for the corresponding SageMaker Docker image.
Expand DownExpand Up@@ -160,6 +162,7 @@ def retrieve(
tolerate_vulnerable_model,
tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if training_compiler_config and (framework in [HUGGING_FACE_FRAMEWORK, "pytorch"]):
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def retrieve_default(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model matching the given arguments.

Expand DownExpand Up@@ -64,6 +65,7 @@ def retrieve_default(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: The default instance type to use for the model.

Expand All@@ -88,6 +90,7 @@ def retrieve_default(
sagemaker_session=sagemaker_session,
training_instance_type=training_instance_type,
model_type=model_type,
config_name=config_name,
)


Expand Down
7 changes: 7 additions & 0 deletions src/sagemaker/jumpstart/artifacts/environment_variables.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,6 +39,7 @@ def _retrieve_default_environment_variables(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
script: JumpStartScriptScope = JumpStartScriptScope.INFERENCE,
config_name: Optional[str] = None,
) -> Dict[str, str]:
"""Retrieves the inference environment variables for the model matching the given arguments.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_environment_variables(
environment variables specific for the instance type.
script (JumpStartScriptScope): The JumpStart script for which to retrieve
environment variables.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the inference environment variables to use for the model.
"""
Expand All@@ -84,6 +86,7 @@ def _retrieve_default_environment_variables(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_environment_variables: Dict[str, str] = {}
Expand DownExpand Up@@ -121,6 +124,7 @@ def _retrieve_default_environment_variables(
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
instance_type=instance_type,
config_name=config_name,
)
)

Expand DownExpand Up@@ -167,6 +171,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> Optional[str]:
"""Retrieves the gated model env var URI matching the given arguments.

Expand All@@ -190,6 +195,7 @@ def _retrieve_gated_model_uri_env_var_value(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get
environment variables specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).

Returns:
Optional[str]: the s3 URI to use for the environment variable, or None if the model does not
Expand All@@ -211,6 +217,7 @@ def _retrieve_gated_model_uri_env_var_value(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

s3_key: Optional[str] = (
Expand Down
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/hyperparameters.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,6 +36,7 @@ def _retrieve_default_hyperparameters(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
instance_type: Optional[str] = None,
config_name: Optional[str] = None,
):
"""Retrieves the training hyperparameters for the model matching the given arguments.

Expand DownExpand Up@@ -66,6 +67,7 @@ def _retrieve_default_hyperparameters(
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
instance_type (str): An instance type to optionally supply in order to get hyperparameters
specific for the instance type.
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
dict: the hyperparameters to use for the model.
"""
Expand All@@ -82,6 +84,7 @@ def _retrieve_default_hyperparameters(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

default_hyperparameters: Dict[str, str] = {}
Expand Down
4 changes: 4 additions & 0 deletions src/sagemaker/jumpstart/artifacts/image_uris.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -46,6 +46,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
):
"""Retrieves the container image URI for JumpStart models.

Expand DownExpand Up@@ -95,6 +96,7 @@ def _retrieve_image_uri(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the ECR URI for the corresponding SageMaker Docker image.

Expand All@@ -116,6 +118,7 @@ def _retrieve_image_uri(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if image_scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -200,4 +203,5 @@ def _retrieve_image_uri(
distribution=distribution,
base_framework_version=base_framework_version_override or base_framework_version,
training_compiler_config=training_compiler_config,
config_name=config_name,
)
3 changes: 3 additions & 0 deletions src/sagemaker/jumpstart/artifacts/incremental_training.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model: bool = False,
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
config_name: Optional[str] = None,
) -> bool:
"""Returns True if the model supports incremental training.

Expand All@@ -54,6 +55,7 @@ def _model_supports_incremental_training(
object, used for SageMaker interactions. If not
specified, one is created using the default AWS configuration
chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
bool: the support status for incremental training.
"""
Expand All@@ -70,6 +72,7 @@ def _model_supports_incremental_training(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

return model_specs.supports_incremental_training()
6 changes: 6 additions & 0 deletions src/sagemaker/jumpstart/artifacts/instance_types.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -40,6 +40,7 @@ def _retrieve_default_instance_type(
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS,
config_name: Optional[str] = None,
) -> str:
"""Retrieves the default instance type for the model.

Expand DownExpand Up@@ -68,6 +69,7 @@ def _retrieve_default_instance_type(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
str: the default instance type to use for the model or None.

Expand All@@ -89,6 +91,7 @@ def _retrieve_default_instance_type(
tolerate_deprecated_model=tolerate_deprecated_model,
model_type=model_type,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand DownExpand Up@@ -128,6 +131,7 @@ def _retrieve_instance_types(
tolerate_deprecated_model: bool = False,
sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
training_instance_type: Optional[str] = None,
config_name: Optional[str] = None,
) -> List[str]:
"""Retrieves the supported instance types for the model.

Expand DownExpand Up@@ -156,6 +160,7 @@ def _retrieve_instance_types(
Optionally supply this to get a inference instance type conditioned
on the training instance, to ensure compatability of training artifact to inference
instance. (Default: None).
config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None).
Returns:
list: the supported instance types to use for the model or None.

Expand All@@ -176,6 +181,7 @@ def _retrieve_instance_types(
tolerate_vulnerable_model=tolerate_vulnerable_model,
tolerate_deprecated_model=tolerate_deprecated_model,
sagemaker_session=sagemaker_session,
config_name=config_name,
)

if scope == JumpStartScriptScope.INFERENCE:
Expand Down
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