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` # Generated by default/object.tt package Paws::SageMaker::ProductionVariant; use Moose; has AcceleratorType => (is => 'ro', isa => 'Str'); has CoreDumpConfig => (is => 'ro', isa => 'Paws::SageMaker::ProductionVariantCoreDumpConfig'); has InitialInstanceCount => (is => 'ro', isa => 'Int', required => 1); has InitialVariantWeight => (is => 'ro', isa => 'Num'); has InstanceType => (is => 'ro', isa => 'Str', required => 1); has ModelName => (is => 'ro', isa => 'Str', required => 1); has VariantName => (is => 'ro', isa => 'Str', required => 1); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::ProductionVariant =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::SageMaker::ProductionVariant object: $service_obj->Method(Att1 => { AcceleratorType => $value, ..., VariantName => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::ProductionVariant object: $result = $service_obj->Method(...); $result->Att1->AcceleratorType =head1 DESCRIPTION Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights. =head1 ATTRIBUTES =head2 AcceleratorType => Str The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html). =head2 CoreDumpConfig => L Specifies configuration for a core dump from the model container when the process crashes. =head2 B InitialInstanceCount => Int Number of instances to launch initially. =head2 InitialVariantWeight => Num Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the C to the sum of all C values across all ProductionVariants. If unspecified, it defaults to 1.0. =head2 B InstanceType => Str The ML compute instance type. =head2 B ModelName => Str The name of the model that you want to host. This is the name that you specified when creating the model. =head2 B VariantName => Str The name of the production variant. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut