Elastic Inference
This page documents function available when using the Elastic_Inference module, created with @service Elastic_Inference.
Index
Main.Elastic_Inference.describe_accelerator_offeringsMain.Elastic_Inference.describe_accelerator_typesMain.Elastic_Inference.describe_acceleratorsMain.Elastic_Inference.list_tags_for_resourceMain.Elastic_Inference.tag_resourceMain.Elastic_Inference.untag_resource
Documentation
Main.Elastic_Inference.describe_accelerator_offerings — Methoddescribe_accelerator_offerings(location_type)
describe_accelerator_offerings(location_type, params::Dict{String,<:Any})Describes the locations in which a given accelerator type or set of types is present in a given region.
Arguments
location_type: The location type that you want to describe accelerator type offerings for. It can assume the following values: region: will return the accelerator type offering at the regional level. availability-zone: will return the accelerator type offering at the availability zone level. availability-zone-id: will return the accelerator type offering at the availability zone level returning the availability zone id.
Optional Parameters
Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:
"acceleratorTypes": The list of accelerator types to describe.
Main.Elastic_Inference.describe_accelerator_types — Methoddescribe_accelerator_types()
describe_accelerator_types(params::Dict{String,<:Any})Describes the accelerator types available in a given region, as well as their characteristics, such as memory and throughput.
Main.Elastic_Inference.describe_accelerators — Methoddescribe_accelerators()
describe_accelerators(params::Dict{String,<:Any})Describes information over a provided set of accelerators belonging to an account.
Optional Parameters
Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:
"acceleratorIds": The IDs of the accelerators to describe."filters": One or more filters. Filter names and values are case-sensitive. Valid filter names are: accelerator-types: can provide a list of accelerator type names to filter for. instance-id: can provide a list of EC2 instance ids to filter for."maxResults": The total number of items to return in the command's output. If the total number of items available is more than the value specified, a NextToken is provided in the command's output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI."nextToken": A token to specify where to start paginating. This is the NextToken from a previously truncated response.
Main.Elastic_Inference.list_tags_for_resource — Methodlist_tags_for_resource(resource_arn)
list_tags_for_resource(resource_arn, params::Dict{String,<:Any})Returns all tags of an Elastic Inference Accelerator.
Arguments
resource_arn: The ARN of the Elastic Inference Accelerator to list the tags for.
Main.Elastic_Inference.tag_resource — Methodtag_resource(resource_arn, tags)
tag_resource(resource_arn, tags, params::Dict{String,<:Any})Adds the specified tags to an Elastic Inference Accelerator.
Arguments
resource_arn: The ARN of the Elastic Inference Accelerator to tag.tags: The tags to add to the Elastic Inference Accelerator.
Main.Elastic_Inference.untag_resource — Methoduntag_resource(resource_arn, tag_keys)
untag_resource(resource_arn, tag_keys, params::Dict{String,<:Any})Removes the specified tags from an Elastic Inference Accelerator.
Arguments
resource_arn: The ARN of the Elastic Inference Accelerator to untag.tag_keys: The list of tags to remove from the Elastic Inference Accelerator.