OutputConfig

public struct OutputConfig : AWSShape

Undocumented

  • Declaration

    Swift

    public static var _members: [AWSShapeMember]

  • Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compliations. For any other cases, it is optional to specify CompilerOptions. CPU: Compilation for CPU supports the following compiler options. mcpu: CPU micro-architecture. For example, {‘mcpu’: ‘skylake-avx512’} mattr: CPU flags. For example, {‘mattr’: [‘+neon’, ‘+vfpv4’]} ARM: Details of ARM CPU compilations. NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors. For example, add {‘mattr’: [‘+neon’]} to the compiler options if compiling for ARM 32-bit platform with the NEON support. NVIDIA: Compilation for NVIDIA GPU supports the following compiler options. gpu_code: Specifies the targeted architecture. trt-ver: Specifies the TensorRT versions in x.y.z. format. cuda-ver: Specifies the CUDA version in x.y format. For example, {‘gpu-code’: ‘sm_72’, ‘trt-ver’: ‘6.0.1’, ‘cuda-ver’: ‘10.1’} ANDROID: Compilation for the Android OS supports the following compiler options: ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {‘ANDROID_PLATFORM’: 28}. mattr: Add {‘mattr’: [‘+neon’]} to compiler options if compiling for ARM 32-bit platform with NEON support.

    Declaration

    Swift

    public let compilerOptions: String?

  • Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

    Declaration

    Swift

    public let s3OutputLocation: String

  • Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

    Declaration

    Swift

    public let targetDevice: TargetDevice?

  • Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice. The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms: Raspberry Pi 3 Model B+ “TargetPlatform”: {“Os”: “LINUX”, “Arch”: “ARM_EABIHF”}, “CompilerOptions”: {‘mattr’: [‘+neon’]} Jetson TX2 “TargetPlatform”: {“Os”: “LINUX”, “Arch”: “ARM64”, “Accelerator”: “NVIDIA”}, “CompilerOptions”: {‘gpu-code’: ‘sm_62’, ‘trt-ver’: ‘6.0.1’, ‘cuda-ver’: ‘10.0’} EC2 m5.2xlarge instance OS “TargetPlatform”: {“Os”: “LINUX”, “Arch”: “X86_64”, “Accelerator”: “NVIDIA”}, “CompilerOptions”: {‘mcpu’: ‘skylake-avx512’} RK3399 “TargetPlatform”: {“Os”: “LINUX”, “Arch”: “ARM64”, “Accelerator”: “MALI”} ARMv7 phone (CPU) “TargetPlatform”: {“Os”: “ANDROID”, “Arch”: “ARM_EABI”}, “CompilerOptions”: {‘ANDROID_PLATFORM’: 25, ‘mattr’: [‘+neon’]} ARMv8 phone (CPU) “TargetPlatform”: {“Os”: “ANDROID”, “Arch”: “ARM64”}, “CompilerOptions”: {‘ANDROID_PLATFORM’: 29}

    Declaration

    Swift

    public let targetPlatform: TargetPlatform?

  • Undocumented

    Declaration

    Swift

    public init(compilerOptions: String? = nil, s3OutputLocation: String, targetDevice: TargetDevice? = nil, targetPlatform: TargetPlatform? = nil)

  • Declaration

    Swift

    public func validate(name: String) throws