ElasticInferenceClient#
Index > ElasticInference > ElasticInferenceClient
Auto-generated documentation for ElasticInference type annotations stubs module types-aiobotocore-elastic-inference.
ElasticInferenceClient#
Type annotations and code completion for session.create_client("elastic-inference")
boto3 documentation
ElasticInferenceClient usage example
from aiobotocore.session import get_session
from types_aiobotocore_elastic_inference.client import ElasticInferenceClient
session = get_session()
async with session.create_client("elastic-inference") as client:
client: ElasticInferenceClient
Exceptions#
aiobotocore
client exceptions are generated in runtime.
This class provides code completion for session.create_client("elastic-inference").exceptions
structure.
ElasticInferenceClient.exceptions usage example
async with session.create_client("elastic-inference") as client:
try:
do_something(client)
except (
client.BadRequestException,
client.ClientError,
client.InternalServerException,
client.ResourceNotFoundException,
) as e:
print(e)
ElasticInferenceClient usage type checking example
from types_aiobotocore_elastic_inference.client import Exceptions
def handle_error(exc: Exceptions.BadRequestException) -> None:
...
Methods#
can_paginate#
Check if an operation can be paginated.
Type annotations and code completion for session.create_client("elastic-inference").can_paginate
method.
boto3 documentation
# can_paginate method definition
def can_paginate(
self,
operation_name: str,
) -> bool:
...
close#
Closes underlying endpoint connections.
Type annotations and code completion for session.create_client("elastic-inference").close
method.
boto3 documentation
# close method definition
await def close(
self,
) -> None:
...
describe_accelerator_offerings#
Describes the locations in which a given accelerator type or set of types is present in a given region.
Type annotations and code completion for session.create_client("elastic-inference").describe_accelerator_offerings
method.
boto3 documentation
# describe_accelerator_offerings method definition
await def describe_accelerator_offerings(
self,
*,
locationType: LocationTypeType, # (1)
acceleratorTypes: Sequence[str] = ...,
) -> DescribeAcceleratorOfferingsResponseTypeDef: # (2)
...
# describe_accelerator_offerings method usage example with argument unpacking
kwargs: DescribeAcceleratorOfferingsRequestRequestTypeDef = { # (1)
"locationType": ...,
}
parent.describe_accelerator_offerings(**kwargs)
describe_accelerator_types#
Describes the accelerator types available in a given region, as well as their characteristics, such as memory and throughput.
Type annotations and code completion for session.create_client("elastic-inference").describe_accelerator_types
method.
boto3 documentation
# describe_accelerator_types method definition
await def describe_accelerator_types(
self,
) -> DescribeAcceleratorTypesResponseTypeDef: # (1)
...
describe_accelerators#
Describes information over a provided set of accelerators belonging to an account.
Type annotations and code completion for session.create_client("elastic-inference").describe_accelerators
method.
boto3 documentation
# describe_accelerators method definition
await def describe_accelerators(
self,
*,
acceleratorIds: Sequence[str] = ...,
filters: Sequence[FilterTypeDef] = ..., # (1)
maxResults: int = ...,
nextToken: str = ...,
) -> DescribeAcceleratorsResponseTypeDef: # (2)
...
# describe_accelerators method usage example with argument unpacking
kwargs: DescribeAcceleratorsRequestRequestTypeDef = { # (1)
"acceleratorIds": ...,
}
parent.describe_accelerators(**kwargs)
generate_presigned_url#
Generate a presigned url given a client, its method, and arguments.
Type annotations and code completion for session.create_client("elastic-inference").generate_presigned_url
method.
boto3 documentation
# generate_presigned_url method definition
await def generate_presigned_url(
self,
ClientMethod: str,
Params: Mapping[str, Any] = ...,
ExpiresIn: int = 3600,
HttpMethod: str = ...,
) -> str:
...
list_tags_for_resource#
Returns all tags of an Elastic Inference Accelerator.
Type annotations and code completion for session.create_client("elastic-inference").list_tags_for_resource
method.
boto3 documentation
# list_tags_for_resource method definition
await def list_tags_for_resource(
self,
*,
resourceArn: str,
) -> ListTagsForResourceResultTypeDef: # (1)
...
# list_tags_for_resource method usage example with argument unpacking
kwargs: ListTagsForResourceRequestRequestTypeDef = { # (1)
"resourceArn": ...,
}
parent.list_tags_for_resource(**kwargs)
tag_resource#
Adds the specified tags to an Elastic Inference Accelerator.
Type annotations and code completion for session.create_client("elastic-inference").tag_resource
method.
boto3 documentation
# tag_resource method definition
await def tag_resource(
self,
*,
resourceArn: str,
tags: Mapping[str, str],
) -> Dict[str, Any]:
...
# tag_resource method usage example with argument unpacking
kwargs: TagResourceRequestRequestTypeDef = { # (1)
"resourceArn": ...,
"tags": ...,
}
parent.tag_resource(**kwargs)
untag_resource#
Removes the specified tags from an Elastic Inference Accelerator.
Type annotations and code completion for session.create_client("elastic-inference").untag_resource
method.
boto3 documentation
# untag_resource method definition
await def untag_resource(
self,
*,
resourceArn: str,
tagKeys: Sequence[str],
) -> Dict[str, Any]:
...
# untag_resource method usage example with argument unpacking
kwargs: UntagResourceRequestRequestTypeDef = { # (1)
"resourceArn": ...,
"tagKeys": ...,
}
parent.untag_resource(**kwargs)
__aenter__#
Type annotations and code completion for session.create_client("elastic-inference").__aenter__
method.
boto3 documentation
# __aenter__ method definition
await def __aenter__(
self,
) -> ElasticInferenceClient:
...
__aexit__#
Type annotations and code completion for session.create_client("elastic-inference").__aexit__
method.
boto3 documentation
# __aexit__ method definition
await def __aexit__(
self,
exc_type: Any,
exc_val: Any,
exc_tb: Any,
) -> Any:
...
get_paginator#
Type annotations and code completion for session.create_client("elastic-inference").get_paginator
method with overloads.
client.get_paginator("describe_accelerators")
-> DescribeAcceleratorsPaginator