ElasticInference / Paginator / DescribeAccelerators

DescribeAccelerators#

class ElasticInference.Paginator.DescribeAccelerators#
paginator = client.get_paginator('describe_accelerators')
paginate(**kwargs)#

Creates an iterator that will paginate through responses from ElasticInference.Client.describe_accelerators().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    acceleratorIds=[
        'string',
    ],
    filters=[
        {
            'name': 'string',
            'values': [
                'string',
            ]
        },
    ],
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)
Parameters:
  • acceleratorIds (list) –

    The IDs of the accelerators to describe.

    • (string) –

  • filters (list) –

    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.

    • (dict) –

      A filter expression for the Elastic Inference Accelerator list.

      • name (string) –

        The filter name for the Elastic Inference Accelerator list. It can assume the following values: accelerator-type: the type of Elastic Inference Accelerator to filter for. instance-id: an EC2 instance id to filter for.

      • values (list) –

        The values for the filter of the Elastic Inference Accelerator list.

        • (string) –

  • PaginationConfig (dict) –

    A dictionary that provides parameters to control pagination.

    • MaxItems (integer) –

      The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

    • PageSize (integer) –

      The size of each page.

    • StartingToken (string) –

      A token to specify where to start paginating. This is the NextToken from a previous response.

Return type:

dict

Returns:

Response Syntax

{
    'acceleratorSet': [
        {
            'acceleratorHealth': {
                'status': 'string'
            },
            'acceleratorType': 'string',
            'acceleratorId': 'string',
            'availabilityZone': 'string',
            'attachedResource': 'string'
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) –

    • acceleratorSet (list) –

      The details of the Elastic Inference Accelerators.

      • (dict) –

        The details of an Elastic Inference Accelerator.

        • acceleratorHealth (dict) –

          The health of the Elastic Inference Accelerator.

          • status (string) –

            The health status of the Elastic Inference Accelerator.

        • acceleratorType (string) –

          The type of the Elastic Inference Accelerator.

        • acceleratorId (string) –

          The ID of the Elastic Inference Accelerator.

        • availabilityZone (string) –

          The availability zone where the Elastic Inference Accelerator is present.

        • attachedResource (string) –

          The ARN of the resource that the Elastic Inference Accelerator is attached to.

    • NextToken (string) –

      A token to resume pagination.