Table of Contents
A low-level client representing Amazon Elastic Inference (Elastic Inference):
import boto3
client = boto3.client('elastic-inference')
These are the available methods:
Check if an operation can be paginated.
Generate a presigned url given a client, its method, and arguments
The presigned url
Create a paginator for an operation.
Returns an object that can wait for some condition.
Returns all tags of an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
response = client.list_tags_for_resource(
resourceArn='string'
)
{
'tags': {
'string': 'string'
}
}
Response Structure
Adds the specified tag(s) to an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
response = client.tag_resource(
resourceArn='string',
tags={
'string': 'string'
}
)
[REQUIRED] The tags to add to the Elastic Inference Accelerator.
dict
Response Syntax
{}
Response Structure
Removes the specified tag(s) from an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
response = client.untag_resource(
resourceArn='string',
tagKeys=[
'string',
]
)
[REQUIRED] The list of tags to remove from the Elastic Inference Accelerator.
dict
Response Syntax
{}
Response Structure
The available paginators are: