Struct DistributedDataParallel

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pub struct DistributedDataParallel { /* private fields */ }

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Distributed Data Parallel (DDP)

Combines data parallelism with efficient gradient synchronization. Overlaps communication with computation for better performance.

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impl DistributedDataParallel

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pub fn new( config: DistributedConfig, device_ids: Vec<usize>, gradient_accumulation_steps: Option<usize>, ) -> Self

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pub fn find_unused_parameters(self, enabled: bool) -> Self

Enable finding unused parameters

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pub fn forward(&self, batch: &Tensor) -> Vec<Tensor>

Forward pass with data parallelism

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pub fn backward( &mut self, gradients: &HashMap<String, Tensor>, ) -> Option<HashMap<String, Tensor>>

Backward pass with gradient synchronization

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pub fn sync_parameters( &self, parameters: &HashMap<String, Tensor>, ) -> HashMap<String, Tensor>

Synchronize parameters across all processes

Auto Trait Implementations§

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impl !UnwindSafe for DistributedDataParallel

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impl<T> Any for T
where T: 'static + ?Sized,

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Gets the TypeId of self. Read more

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where T: ?Sized,

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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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