Struct aws_sdk_lookoutvision::types::TargetPlatform

#[non_exhaustive]
pub struct TargetPlatform {
    pub os: Option<TargetPlatformOs>,
    pub arch: Option<TargetPlatformArch>,
    pub accelerator: Option<TargetPlatformAccelerator>,
}

The platform on which a model runs on an AWS IoT Greengrass core device.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

os: Option<TargetPlatformOs>

The target operating system for the model. Linux is the only operating system that is currently supported.

arch: Option<TargetPlatformArch>

The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).

accelerator: Option<TargetPlatformAccelerator>

The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for CPU:

• mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}

• mattr: CPU flags. For example, {'mattr': \['+neon', '+vfpv4'\]}

Implementations

impl TargetPlatform

pub fn os(&self) -> Option<&TargetPlatformOs>

The target operating system for the model. Linux is the only operating system that is currently supported.

pub fn arch(&self) -> Option<&TargetPlatformArch>

The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).

pub fn accelerator(&self) -> Option<&TargetPlatformAccelerator>

The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for CPU:

• mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}

• mattr: CPU flags. For example, {'mattr': \['+neon', '+vfpv4'\]}

impl TargetPlatform

pub fn builder() -> TargetPlatformBuilder

Creates a new builder-style object to manufacture TargetPlatform.

Trait Implementations

impl Clone for TargetPlatform

fn clone(&self) -> TargetPlatform

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TargetPlatform

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for TargetPlatform

fn eq(&self, other: &TargetPlatform) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for TargetPlatform