Vision AI v1 API - Class ResourceSpecification (1.0.0-beta01)

public sealed class ResourceSpecification : IMessage<ResourceSpecification>, IEquatable<ResourceSpecification>, IDeepCloneable<ResourceSpecification>, IBufferMessage, IMessage

Reference documentation and code samples for the Vision AI v1 API class ResourceSpecification.

ResourceSpec collects a set of resources that can be used to specify requests and requirements.

Note: Highly experimental as this can be runtime dependent. Can use the "extras" field to experiment first before trying to abstract it.

Inheritance

object > ResourceSpecification

Implements

IMessage ResourceSpecification, IEquatable ResourceSpecification, IDeepCloneable ResourceSpecification, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.VisionAI.V1

Assembly

Google.Cloud.VisionAI.V1.dll

Constructors

ResourceSpecification()

public ResourceSpecification()

ResourceSpecification(ResourceSpecification)

public ResourceSpecification(ResourceSpecification other)

Parameter
Name	Description
`other`	`ResourceSpecification`

Properties

Cpu

public string Cpu { get; set; }

CPU specification.

Examples: "100m", "0.5", "1", "2", ... correspond to 0.1, half, 1, or 2 cpus.

Leave empty to let the system decide.

Note that this does not determine the cpu vender/make, or its underlying clock speed and specific SIMD features. It is only the amount time it requires in timeslicing.

Property Value
Type	Description
`string`

CpuLimits

public string CpuLimits { get; set; }

CPU limit.

Examples: "100m", "0.5", "1", "2", ... correspond to 0.1, half, 1, or 2 cpus.

Leave empty to indicate no limit.

Property Value
Type	Description
`string`

Gpus

public int Gpus { get; set; }

Number of gpus.

Property Value
Type	Description
`int`

LatencyBudgetMs

public int LatencyBudgetMs { get; set; }

The maximum latency that this operator may use to process an element.

If non positive, then a system default will be used. Operator developers should arrange for the system compute resources to be aligned with this latency budget; e.g. if you want a ML model to produce results within 500ms, then you should make sure you request enough cpu/gpu/memory to achieve that.

Property Value
Type	Description
`int`

Memory

public string Memory { get; set; }

Memory specification (in bytes).

Examples: "128974848", "129e6", "129M", "123Mi", ... correspond to 128974848 bytes, 129000000 bytes, 129 mebibytes, 123 megabytes.