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MultiNodeTrainer

Struct MultiNodeTrainer 

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pub struct MultiNodeTrainer<T: Optimizer> { /* private fields */ }
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Multi-node distributed training coordinator

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impl<T: Optimizer> MultiNodeTrainer<T>

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pub fn new(config: MultiNodeConfig, base_optimizer: T) -> Result<Self>

Create a new multi-node trainer

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pub fn initialize_environment() -> Result<()>

Initialize MPI environment for multi-node training

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pub fn register_parameters( &mut self, parameters: HashMap<String, Tensor>, ) -> Result<()>

Register parameters for multi-node training

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

Update gradients with multi-node synchronization

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pub fn synchronize_gradients(&mut self) -> Result<()>

Synchronize gradients across all nodes

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pub fn apply_gradients(&mut self, accumulation_steps: usize) -> Result<()>

Apply gradients with multi-node coordination

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pub fn optimizer_step(&mut self) -> Result<()>

Perform optimizer step with multi-node coordination

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pub fn get_memory_usage(&self) -> HashMap<String, usize>

Get comprehensive memory usage across nodes

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pub fn get_training_stats(&self) -> MultiNodeStats

Get multi-node training statistics

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pub fn should_save_checkpoint(&self) -> bool

Check if this process should save checkpoints

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pub fn barrier(&self) -> Result<()>

Barrier synchronization across all nodes

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pub fn finalize() -> Result<()>

Finalize multi-node training

Auto Trait Implementations§

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impl<T> Freeze for MultiNodeTrainer<T>
where T: Freeze,

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impl<T> !RefUnwindSafe for MultiNodeTrainer<T>

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impl<T> Send for MultiNodeTrainer<T>

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impl<T> Sync for MultiNodeTrainer<T>

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impl<T> Unpin for MultiNodeTrainer<T>
where T: Unpin,

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impl<T> !UnwindSafe for MultiNodeTrainer<T>

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where T: 'static + ?Sized,

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