PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` package Paws::ElasticInference::DescribeAccelerators; use Moose; has AcceleratorIds => (is => 'ro', isa => 'ArrayRef[Str|Undef]', traits => ['NameInRequest'], request_name => 'acceleratorIds'); has Filters => (is => 'ro', isa => 'ArrayRef[Paws::ElasticInference::Filter]', traits => ['NameInRequest'], request_name => 'filters'); has MaxResults => (is => 'ro', isa => 'Int', traits => ['NameInRequest'], request_name => 'maxResults'); has NextToken => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'nextToken'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'DescribeAccelerators'); class_has _api_uri => (isa => 'Str', is => 'ro', default => '/describe-accelerators'); class_has _api_method => (isa => 'Str', is => 'ro', default => 'POST'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::ElasticInference::DescribeAcceleratorsResponse'); 1; ### main pod documentation begin ### =head1 NAME Paws::ElasticInference::DescribeAccelerators - Arguments for method DescribeAccelerators on L =head1 DESCRIPTION This class represents the parameters used for calling the method DescribeAccelerators on the L service. Use the attributes of this class as arguments to method DescribeAccelerators. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DescribeAccelerators. =head1 SYNOPSIS my $api.elastic-inference = Paws->service('ElasticInference'); my $DescribeAcceleratorsResponse = $api . elastic-inference->DescribeAccelerators( AcceleratorIds => [ 'MyAcceleratorId', ... # min: 1, max: 256 ], # OPTIONAL Filters => [ { Name => 'MyFilterName', # min: 1, max: 128; OPTIONAL Values => [ 'MyString', ... # max: 500000 ], # max: 100; OPTIONAL }, ... ], # OPTIONAL MaxResults => 1, # OPTIONAL NextToken => 'MyNextToken', # OPTIONAL ); # Results: my $AcceleratorSet = $DescribeAcceleratorsResponse->AcceleratorSet; my $NextToken = $DescribeAcceleratorsResponse->NextToken; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 AcceleratorIds => ArrayRef[Str|Undef] The IDs of the accelerators to describe. =head2 Filters => ArrayRef[L] 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. =head2 MaxResults => Int 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. =head2 NextToken => Str A token to specify where to start paginating. This is the NextToken from a previously truncated response. =head1 SEE ALSO This class forms part of L, documenting arguments for method DescribeAccelerators in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut