sagemaker.core.remote_function.core.serialization#
SageMaker remote function data serializer/deserializer.
Functions
Downloads from S3 and then deserializes exception. |
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Downloads from S3 and then deserializes data objects. |
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Downloads from S3 and then deserializes data objects. |
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Json serializes data object and uploads it to S3. |
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Serializes exception with traceback and uploads it to S3. |
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Serializes function and uploads it to S3. |
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Serializes data object and uploads it to S3. |
Classes
Serializer using cloudpickle. |
- class sagemaker.core.remote_function.core.serialization.CloudpickleSerializer[source]#
Bases:
objectSerializer using cloudpickle.
- static deserialize(s3_uri: str, bytes_to_deserialize: bytes) Any[source]#
Downloads from S3 and then deserializes data objects.
- Parameters:
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
bytes_to_deserialize – bytes to be deserialized.
- Returns :
List of deserialized python objects.
- Raises:
DeserializationError – when fail to serialize object to bytes.
- static serialize(obj: Any) bytes[source]#
Serializes data object and uploads it to S3.
- Parameters:
obj – object to be serialized and persisted
- Raises:
SerializationError – when fail to serialize object to bytes.
- sagemaker.core.remote_function.core.serialization.deserialize_exception_from_s3(sagemaker_session: Session, s3_uri: str) Any[source]#
Downloads from S3 and then deserializes exception.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying sagemaker session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
- Returns :
Deserialized exception with traceback.
- Raises:
DeserializationError – when fail to serialize object to bytes.
- sagemaker.core.remote_function.core.serialization.deserialize_func_from_s3(sagemaker_session: Session, s3_uri: str) Callable[source]#
Downloads from S3 and then deserializes data objects.
This method downloads the serialized training job outputs to a temporary directory and then deserializes them using dask.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying sagemaker session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
- Returns :
The deserialized function.
- Raises:
DeserializationError – when fail to serialize function to bytes.
- sagemaker.core.remote_function.core.serialization.deserialize_obj_from_s3(sagemaker_session: Session, s3_uri: str) Any[source]#
Downloads from S3 and then deserializes data objects.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying sagemaker session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
- Returns :
Deserialized python objects.
- Raises:
DeserializationError – when fail to serialize object to bytes.
- sagemaker.core.remote_function.core.serialization.json_serialize_obj_to_s3(obj: Any, json_key: str, sagemaker_session: Session, s3_uri: str, s3_kms_key: str | None = None)[source]#
Json serializes data object and uploads it to S3.
If a function step’s output is data referenced by other steps via JsonGet, its output should be json serialized and uploaded to S3.
- Parameters:
obj – (Any) object to be serialized and persisted.
json_key – (str) the json key pointing to function step output.
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying Boto3 session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
s3_kms_key (str) – KMS key used to encrypt artifacts uploaded to S3.
- sagemaker.core.remote_function.core.serialization.serialize_exception_to_s3(exc: Exception, sagemaker_session: Session, s3_uri: str, s3_kms_key: str | None = None)[source]#
Serializes exception with traceback and uploads it to S3.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying Boto3 session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
s3_kms_key (str) – KMS key used to encrypt artifacts uploaded to S3.
exc – Exception to be serialized and persisted
- Raises:
SerializationError – when fail to serialize object to bytes.
- sagemaker.core.remote_function.core.serialization.serialize_func_to_s3(func: Callable, sagemaker_session: Session, s3_uri: str, s3_kms_key: str | None = None)[source]#
Serializes function and uploads it to S3.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying Boto3 session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
s3_kms_key (str) – KMS key used to encrypt artifacts uploaded to S3.
func – function to be serialized and persisted
- Raises:
SerializationError – when fail to serialize function to bytes.
- sagemaker.core.remote_function.core.serialization.serialize_obj_to_s3(obj: Any, sagemaker_session: Session, s3_uri: str, s3_kms_key: str | None = None)[source]#
Serializes data object and uploads it to S3.
- Parameters:
sagemaker_session (sagemaker.core.helper.session.Session) – The underlying Boto3 session which AWS service calls are delegated to.
s3_uri (str) – S3 root uri to which resulting serialized artifacts will be uploaded.
s3_kms_key (str) – KMS key used to encrypt artifacts uploaded to S3.
obj – object to be serialized and persisted
- Raises:
SerializationError – when fail to serialize object to bytes.