2019/11/26 - Amazon Elastic Inference - 3 new api methods
Changes Amazon Elastic Inference allows customers to attach Elastic Inference Accelerators to Amazon EC2 and Amazon ECS tasks, thus providing low-cost GPU-powered acceleration and reducing the cost of running deep learning inference. This release allows customers to add or remove tags for their Elastic Inference Accelerators.
Removes the specified tag(s) from an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
client.untag_resource(
resourceArn='string',
tagKeys=[
'string',
]
)
string
[REQUIRED] The ARN of the Elastic Inference Accelerator to untag.
list
[REQUIRED] The list of tags to remove from the Elastic Inference Accelerator.
(string) --
dict
Response Syntax
{}
Response Structure
(dict) --
Returns all tags of an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
client.list_tags_for_resource(
resourceArn='string'
)
string
[REQUIRED] The ARN of the Elastic Inference Accelerator to list the tags for.
dict
Response Syntax
{
'tags': {
'string': 'string'
}
}
Response Structure
(dict) --
tags (dict) -- The tags of the Elastic Inference Accelerator.
(string) --
(string) --
Adds the specified tag(s) to an Elastic Inference Accelerator.
See also: AWS API Documentation
Request Syntax
client.tag_resource(
resourceArn='string',
tags={
'string': 'string'
}
)
string
[REQUIRED] The ARN of the Elastic Inference Accelerator to tag.
dict
[REQUIRED] The tags to add to the Elastic Inference Accelerator.
(string) --
(string) --
dict
Response Syntax
{}
Response Structure
(dict) --