Trait MTL4MachineLearningCommandEncoder 

pub unsafe trait MTL4MachineLearningCommandEncoder: MTL4CommandEncoder {
    // Provided methods
    fn setPipelineState(
        &self,
        pipeline_state: &ProtocolObject<dyn MTL4MachineLearningPipelineState>,
    )
       where Self: Sized + Message { ... }
    fn setArgumentTable(
        &self,
        argument_table: &ProtocolObject<dyn MTL4ArgumentTable>,
    )
       where Self: Sized + Message { ... }
    fn dispatchNetworkWithIntermediatesHeap(
        &self,
        heap: &ProtocolObject<dyn MTLHeap>,
    )
       where Self: Sized + Message { ... }
}

Available on crate features MTL4CommandEncoder and MTL4MachineLearningCommandEncoder only.

Encodes commands for dispatching machine learning networks on Apple silicon.

See also Apple’s documentation

Provided Methods

fn setPipelineState( &self, pipeline_state: &ProtocolObject<dyn MTL4MachineLearningPipelineState>, )

where Self: Sized + Message,

Available on crate features MTL4MachineLearningPipeline and MTLAllocation only.

Configures the encoder with a machine learning pipeline state instance.

The pipeline state instance affects all subsequent Machine Learning commands.

• Parameters:
• pipelineState: A Machine Learning pipeline state instance.

fn setArgumentTable( &self, argument_table: &ProtocolObject<dyn MTL4ArgumentTable>, )

where Self: Sized + Message,

Available on crate feature MTL4ArgumentTable only.

Sets an argument table for the command encoder’s machine learning shader stage.

The argument table provides inputs to all subsequent Machine Learning dispatches.

• Parameters:
• argumentTable: An argument table to set on the command encoder’s Machine Learning stage.

fn dispatchNetworkWithIntermediatesHeap( &self, heap: &ProtocolObject<dyn MTLHeap>, )

where Self: Sized + Message,

Available on crate features MTLAllocation and MTLHeap only.

Dispatches a machine learning network using the current pipeline state and argument table.

This method takes a parameter consisting of a MTLHeap that Metal can use to allocate intermediate tensors. You can query the minimum size Metal requires for this heap by calling MTL4MachineLearningPipelineState/intermediatesHeapSize.

• Parameters:
• heap: a heap that Metal can use to allocate intermediate tensors.

Trait Implementations

impl ProtocolType for dyn MTL4MachineLearningCommandEncoder

const NAME: &'static str = "MTL4MachineLearningCommandEncoder"

The name of the Objective-C protocol that this type represents.

fn protocol() -> Option<&'static AnyProtocol>

Get a reference to the Objective-C protocol object that this type represents.

impl<T> ImplementedBy<T> for dyn MTL4MachineLearningCommandEncoder

where T: ?Sized + Message + MTL4MachineLearningCommandEncoder,

Implementations on Foreign Types

impl<T> MTL4MachineLearningCommandEncoder for ProtocolObject<T>

where T: ?Sized + MTL4MachineLearningCommandEncoder,

Implementors