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::SageMaker::CreateCompilationJob; use Moose; has CompilationJobName => (is => 'ro', isa => 'Str', required => 1); has InputConfig => (is => 'ro', isa => 'Paws::SageMaker::InputConfig', required => 1); has OutputConfig => (is => 'ro', isa => 'Paws::SageMaker::OutputConfig', required => 1); has RoleArn => (is => 'ro', isa => 'Str', required => 1); has StoppingCondition => (is => 'ro', isa => 'Paws::SageMaker::StoppingCondition', required => 1); has Tags => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::Tag]'); has VpcConfig => (is => 'ro', isa => 'Paws::SageMaker::NeoVpcConfig'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateCompilationJob'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::SageMaker::CreateCompilationJobResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::CreateCompilationJob - Arguments for method CreateCompilationJob on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateCompilationJob on the L service. Use the attributes of this class as arguments to method CreateCompilationJob. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateCompilationJob. =head1 SYNOPSIS my $api.sagemaker = Paws->service('SageMaker'); my $CreateCompilationJobResponse = $api . sagemaker->CreateCompilationJob( CompilationJobName => 'MyEntityName', InputConfig => { DataInputConfig => 'MyDataInputConfig', # min: 1, max: 1024 Framework => 'TENSORFLOW' , # values: TENSORFLOW, KERAS, MXNET, ONNX, PYTORCH, XGBOOST, TFLITE, DARKNET, SKLEARN S3Uri => 'MyS3Uri', # max: 1024 FrameworkVersion => 'MyFrameworkVersion', # min: 3, max: 10; OPTIONAL }, OutputConfig => { S3OutputLocation => 'MyS3Uri', # max: 1024 CompilerOptions => 'MyCompilerOptions', # min: 3, max: 1024; OPTIONAL KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL TargetDevice => 'lambda' , # values: lambda, ml_m4, ml_m5, ml_c4, ml_c5, ml_p2, ml_p3, ml_g4dn, ml_inf1, ml_eia2, jetson_tx1, jetson_tx2, jetson_nano, jetson_xavier, rasp3b, imx8qm, deeplens, rk3399, rk3288, aisage, sbe_c, qcs605, qcs603, sitara_am57x, amba_cv22, amba_cv25, x86_win32, x86_win64, coreml, jacinto_tda4vm; OPTIONAL TargetPlatform => { Arch => 'X86_64', # values: X86_64, X86, ARM64, ARM_EABI, ARM_EABIHF Os => 'ANDROID', # values: ANDROID, LINUX Accelerator => 'INTEL_GRAPHICS', # values: INTEL_GRAPHICS, MALI, NVIDIA; OPTIONAL }, # OPTIONAL }, RoleArn => 'MyRoleArn', StoppingCondition => { MaxRuntimeInSeconds => 1, # min: 1; OPTIONAL MaxWaitTimeInSeconds => 1, # min: 1; OPTIONAL }, Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256 }, ... ], # OPTIONAL VpcConfig => { SecurityGroupIds => [ 'MyNeoVpcSecurityGroupId', ... # max: 32 ], # min: 1, max: 5 Subnets => [ 'MyNeoVpcSubnetId', ... # max: 32 ], # min: 1, max: 16 }, # OPTIONAL ); # Results: my $CompilationJobArn = $CreateCompilationJobResponse->CompilationJobArn; # 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 B CompilationJobName => Str A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. =head2 B InputConfig => L Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained. =head2 B OutputConfig => L Provides information about the output location for the compiled model and the target device the model runs on. =head2 B RoleArn => Str The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. During model compilation, Amazon SageMaker needs your permission to: =over =item * Read input data from an S3 bucket =item * Write model artifacts to an S3 bucket =item * Write logs to Amazon CloudWatch Logs =item * Publish metrics to Amazon CloudWatch =back You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the C permission. For more information, see Amazon SageMaker Roles. (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html) =head2 B StoppingCondition => L Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs. =head2 Tags => ArrayRef[L] An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources (https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html). =head2 VpcConfig => L A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/neo-vpc.html). =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateCompilationJob in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut