Struct MachineSpec 

#[non_exhaustive]
pub struct MachineSpec {
    pub machine_type: String,
    pub accelerator_type: AcceleratorType,
    pub accelerator_count: i32,
    pub gpu_partition_size: String,
    pub tpu_topology: String,
    pub reservation_affinity: Option<ReservationAffinity>,
    /* private fields */
}

Available on crate features deployment-resource-pool-service or endpoint-service or index-endpoint-service or job-service or model-garden-service or notebook-service or persistent-resource-service or schedule-service only.

Specification of a single machine.

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.

machine_type: String

Immutable. The type of the machine.

See the list of machine types supported for prediction

See the list of machine types supported for custom training.

For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.

accelerator_type: AcceleratorType

Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.

accelerator_count: i32

The number of accelerators to attach to the machine.

gpu_partition_size: String

Optional. Immutable. The Nvidia GPU partition size.

When specified, the requested accelerators will be partitioned into smaller GPU partitions. For example, if the request is for 8 units of NVIDIA A100 GPUs, and gpu_partition_size=“1g.10gb”, the service will create 8 * 7 = 56 partitioned MIG instances.

The partition size must be a value supported by the requested accelerator. Refer to Nvidia GPU Partitioning for the available partition sizes.

If set, the accelerator_count should be set to 1.

tpu_topology: String

Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: “2x2x1”).

reservation_affinity: Option<ReservationAffinity>

Optional. Immutable. Configuration controlling how this resource pool consumes reservation.

Implementations

impl MachineSpec

pub fn new() -> Self

pub fn set_machine_type<T: Into<String>>(self, v: T) -> Self

Sets the value of machine_type.

Example

let x = MachineSpec::new().set_machine_type("example");

pub fn set_accelerator_type<T: Into<AcceleratorType>>(self, v: T) -> Self

Sets the value of accelerator_type.

Example

use google_cloud_aiplatform_v1::model::AcceleratorType;
let x0 = MachineSpec::new().set_accelerator_type(AcceleratorType::NvidiaTeslaP100);
let x1 = MachineSpec::new().set_accelerator_type(AcceleratorType::NvidiaTeslaV100);
let x2 = MachineSpec::new().set_accelerator_type(AcceleratorType::NvidiaTeslaP4);

pub fn set_accelerator_count<T: Into<i32>>(self, v: T) -> Self

Sets the value of accelerator_count.

Example

let x = MachineSpec::new().set_accelerator_count(42);

pub fn set_gpu_partition_size<T: Into<String>>(self, v: T) -> Self

Sets the value of gpu_partition_size.

Example

let x = MachineSpec::new().set_gpu_partition_size("example");

pub fn set_tpu_topology<T: Into<String>>(self, v: T) -> Self

Sets the value of tpu_topology.

Example

let x = MachineSpec::new().set_tpu_topology("example");

pub fn set_reservation_affinity<T>(self, v: T) -> Self

where T: Into<ReservationAffinity>,

Sets the value of reservation_affinity.

Example

use google_cloud_aiplatform_v1::model::ReservationAffinity;
let x = MachineSpec::new().set_reservation_affinity(ReservationAffinity::default()/* use setters */);

pub fn set_or_clear_reservation_affinity<T>(self, v: Option<T>) -> Self

where T: Into<ReservationAffinity>,

Sets or clears the value of reservation_affinity.

Example

use google_cloud_aiplatform_v1::model::ReservationAffinity;
let x = MachineSpec::new().set_or_clear_reservation_affinity(Some(ReservationAffinity::default()/* use setters */));
let x = MachineSpec::new().set_or_clear_reservation_affinity(None::<ReservationAffinity>);

Trait Implementations

impl Clone for MachineSpec

fn clone(&self) -> MachineSpec

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MachineSpec

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

Formats the value using the given formatter.

impl Default for MachineSpec

fn default() -> MachineSpec

Returns the “default value” for a type.

impl Message for MachineSpec

fn typename() -> &'static str

The typename of this message.

impl PartialEq for MachineSpec

fn eq(&self, other: &MachineSpec) -> 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 MachineSpec