#[non_exhaustive]pub struct InferenceComponentSpecificationBuilder { /* private fields */ }Expand description
A builder for InferenceComponentSpecification.
Implementations§
Source§impl InferenceComponentSpecificationBuilder
impl InferenceComponentSpecificationBuilder
Sourcepub fn model_name(self, input: impl Into<String>) -> Self
pub fn model_name(self, input: impl Into<String>) -> Self
The name of an existing SageMaker AI model object in your account that you want to deploy with the inference component.
Sourcepub fn set_model_name(self, input: Option<String>) -> Self
pub fn set_model_name(self, input: Option<String>) -> Self
The name of an existing SageMaker AI model object in your account that you want to deploy with the inference component.
Sourcepub fn get_model_name(&self) -> &Option<String>
pub fn get_model_name(&self) -> &Option<String>
The name of an existing SageMaker AI model object in your account that you want to deploy with the inference component.
Sourcepub fn container(self, input: InferenceComponentContainerSpecification) -> Self
pub fn container(self, input: InferenceComponentContainerSpecification) -> Self
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
Sourcepub fn set_container(
self,
input: Option<InferenceComponentContainerSpecification>,
) -> Self
pub fn set_container( self, input: Option<InferenceComponentContainerSpecification>, ) -> Self
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
Sourcepub fn get_container(&self) -> &Option<InferenceComponentContainerSpecification>
pub fn get_container(&self) -> &Option<InferenceComponentContainerSpecification>
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
Sourcepub fn startup_parameters(
self,
input: InferenceComponentStartupParameters,
) -> Self
pub fn startup_parameters( self, input: InferenceComponentStartupParameters, ) -> Self
Settings that take effect while the model container starts up.
Sourcepub fn set_startup_parameters(
self,
input: Option<InferenceComponentStartupParameters>,
) -> Self
pub fn set_startup_parameters( self, input: Option<InferenceComponentStartupParameters>, ) -> Self
Settings that take effect while the model container starts up.
Sourcepub fn get_startup_parameters(
&self,
) -> &Option<InferenceComponentStartupParameters>
pub fn get_startup_parameters( &self, ) -> &Option<InferenceComponentStartupParameters>
Settings that take effect while the model container starts up.
Sourcepub fn compute_resource_requirements(
self,
input: InferenceComponentComputeResourceRequirements,
) -> Self
pub fn compute_resource_requirements( self, input: InferenceComponentComputeResourceRequirements, ) -> Self
The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Omit this parameter if your request is meant to create an adapter inference component. An adapter inference component is loaded by a base inference component, and it uses the compute resources of the base inference component.
Sourcepub fn set_compute_resource_requirements(
self,
input: Option<InferenceComponentComputeResourceRequirements>,
) -> Self
pub fn set_compute_resource_requirements( self, input: Option<InferenceComponentComputeResourceRequirements>, ) -> Self
The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Omit this parameter if your request is meant to create an adapter inference component. An adapter inference component is loaded by a base inference component, and it uses the compute resources of the base inference component.
Sourcepub fn get_compute_resource_requirements(
&self,
) -> &Option<InferenceComponentComputeResourceRequirements>
pub fn get_compute_resource_requirements( &self, ) -> &Option<InferenceComponentComputeResourceRequirements>
The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Omit this parameter if your request is meant to create an adapter inference component. An adapter inference component is loaded by a base inference component, and it uses the compute resources of the base inference component.
Sourcepub fn base_inference_component_name(self, input: impl Into<String>) -> Self
pub fn base_inference_component_name(self, input: impl Into<String>) -> Self
The name of an existing inference component that is to contain the inference component that you're creating with your request.
Specify this parameter only if your request is meant to create an adapter inference component. An adapter inference component contains the path to an adapter model. The purpose of the adapter model is to tailor the inference output of a base foundation model, which is hosted by the base inference component. The adapter inference component uses the compute resources that you assigned to the base inference component.
When you create an adapter inference component, use the Container parameter to specify the location of the adapter artifacts. In the parameter value, use the ArtifactUrl parameter of the InferenceComponentContainerSpecification data type.
Before you can create an adapter inference component, you must have an existing inference component that contains the foundation model that you want to adapt.
Sourcepub fn set_base_inference_component_name(self, input: Option<String>) -> Self
pub fn set_base_inference_component_name(self, input: Option<String>) -> Self
The name of an existing inference component that is to contain the inference component that you're creating with your request.
Specify this parameter only if your request is meant to create an adapter inference component. An adapter inference component contains the path to an adapter model. The purpose of the adapter model is to tailor the inference output of a base foundation model, which is hosted by the base inference component. The adapter inference component uses the compute resources that you assigned to the base inference component.
When you create an adapter inference component, use the Container parameter to specify the location of the adapter artifacts. In the parameter value, use the ArtifactUrl parameter of the InferenceComponentContainerSpecification data type.
Before you can create an adapter inference component, you must have an existing inference component that contains the foundation model that you want to adapt.
Sourcepub fn get_base_inference_component_name(&self) -> &Option<String>
pub fn get_base_inference_component_name(&self) -> &Option<String>
The name of an existing inference component that is to contain the inference component that you're creating with your request.
Specify this parameter only if your request is meant to create an adapter inference component. An adapter inference component contains the path to an adapter model. The purpose of the adapter model is to tailor the inference output of a base foundation model, which is hosted by the base inference component. The adapter inference component uses the compute resources that you assigned to the base inference component.
When you create an adapter inference component, use the Container parameter to specify the location of the adapter artifacts. In the parameter value, use the ArtifactUrl parameter of the InferenceComponentContainerSpecification data type.
Before you can create an adapter inference component, you must have an existing inference component that contains the foundation model that you want to adapt.
Sourcepub fn build(self) -> InferenceComponentSpecification
pub fn build(self) -> InferenceComponentSpecification
Consumes the builder and constructs a InferenceComponentSpecification.
Trait Implementations§
Source§impl Clone for InferenceComponentSpecificationBuilder
impl Clone for InferenceComponentSpecificationBuilder
Source§fn clone(&self) -> InferenceComponentSpecificationBuilder
fn clone(&self) -> InferenceComponentSpecificationBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Default for InferenceComponentSpecificationBuilder
impl Default for InferenceComponentSpecificationBuilder
Source§fn default() -> InferenceComponentSpecificationBuilder
fn default() -> InferenceComponentSpecificationBuilder
Source§impl PartialEq for InferenceComponentSpecificationBuilder
impl PartialEq for InferenceComponentSpecificationBuilder
Source§fn eq(&self, other: &InferenceComponentSpecificationBuilder) -> bool
fn eq(&self, other: &InferenceComponentSpecificationBuilder) -> bool
self and other values to be equal, and is used by ==.impl StructuralPartialEq for InferenceComponentSpecificationBuilder
Auto Trait Implementations§
impl Freeze for InferenceComponentSpecificationBuilder
impl RefUnwindSafe for InferenceComponentSpecificationBuilder
impl Send for InferenceComponentSpecificationBuilder
impl Sync for InferenceComponentSpecificationBuilder
impl Unpin for InferenceComponentSpecificationBuilder
impl UnwindSafe for InferenceComponentSpecificationBuilder
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