describe_elastic_gpus async ¶

async def describe_elastic_gpus(
    self,
    *,
    config_overrides: Optional[AsyncEC2ClientConfig] = None,
    elastic_gpu_ids: Optional[
        "capo_ec2.types.elastic_gpu_id_set.ElasticGpuIdSet"
    ] = None,
    dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
    filters: Optional["capo_ec2.types.filter_list.FilterList"] = None,
    max_results: Optional[
        "capo_ec2.types.describe_elastic_gpus_max_results.DescribeElasticGpusMaxResults"
    ] = None,
    next_token: Optional["capo_ec2.types.string.String"] = None,
) -> "capo_ec2.types.describe_elastic_gpus_result.DescribeElasticGpusResult":
    """<note> <p>Amazon Elastic Graphics reached end of life on January 8, 2024.</p> </note> <p>Describes the Elastic Graphics accelerator associated with your instances.</p>

    Args:
        elastic_gpu_ids: <p>The Elastic Graphics accelerator IDs.</p>
        dry_run: <p>Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is <code>DryRunOperation</code>. Otherwise, it is <code>UnauthorizedOperation</code>.</p>
        filters: <p>The filters.</p> <ul> <li> <p> <code>availability-zone</code> - The Availability Zone in which the Elastic Graphics accelerator resides.</p> </li> <li> <p> <code>elastic-gpu-health</code> - The status of the Elastic Graphics accelerator (<code>OK</code> | <code>IMPAIRED</code>).</p> </li> <li> <p> <code>elastic-gpu-state</code> - The state of the Elastic Graphics accelerator (<code>ATTACHED</code>).</p> </li> <li> <p> <code>elastic-gpu-type</code> - The type of Elastic Graphics accelerator; for example, <code>eg1.medium</code>.</p> </li> <li> <p> <code>instance-id</code> - The ID of the instance to which the Elastic Graphics accelerator is associated.</p> </li> </ul>
        max_results: <p>The maximum number of results to return in a single call. To retrieve the remaining results, make another call with the returned <code>NextToken</code> value. This value can be between 5 and 1000.</p>
        next_token: <p>The token to request the next page of results.</p>

    Raises:
        capo_ec2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_ec2.types.describe_elastic_gpus_request.DescribeElasticGpusRequest]",
    ) -> AsyncOperationResponse[
        "capo_ec2.types.describe_elastic_gpus_result.DescribeElasticGpusResult"
    ]:
        import capo_ec2._operations.amazon_ec2.describe_elastic_gpus

        (
            output,
            http_response,
        ) = await capo_ec2._operations.amazon_ec2.describe_elastic_gpus.async_describe_elastic_gpus(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeElasticGpus")
    )
    input_: capo_ec2.types.describe_elastic_gpus_request.DescribeElasticGpusRequest = {}
    if elastic_gpu_ids is not None:
        input_["elastic_gpu_ids"] = elastic_gpu_ids
    if dry_run is not None:
        input_["dry_run"] = dry_run
    if filters is not None:
        input_["filters"] = filters
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output