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ExecutionStrategy

burn_train

Enum ExecutionStrategy 

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pub enum ExecutionStrategy {
    SingleDevice(Device),
    MultiDevice(Vec<Device>, MultiDeviceOptim),
    DistributedDataParallel {
        devices: Vec<Device>,
        context: DistributedContext,
    },
}
Expand description

Describes where training runs.

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SingleDevice(Device)

Training on one device

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MultiDevice(Vec<Device>, MultiDeviceOptim)

Performs data-parallel distributed training where the optimization is done on an elected master device.

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DistributedDataParallel

Training with input distributed across devices, each device has its own copy of the model. Collective ops are used to sync the gradients after each pass.

Fields

§devices: Vec<Device>

Devices on this node for the DDP

§context: DistributedContext

The distributed runtime.

Implementations§

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impl ExecutionStrategy

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pub fn main_device(&self) -> &Device

Returns the primary device responsible for coordination.

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pub fn single(device: Device) -> Self

Creates a strategy for a single device.

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pub fn multi(devices: Vec<Device>, optim: MultiDeviceOptim) -> Self

Creates a multi-device strategy.

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impl ExecutionStrategy

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pub fn ddp(devices: Vec<Device>, config: DistributedConfig) -> Self

Creates a distributed data parallel (DDP) strategy.

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impl<M: LearnerModel> From<ExecutionStrategy> for TrainingStrategy<M>

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fn from(value: ExecutionStrategy) -> Self

Converts to this type from the input type.

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