torsh_distributed::expert_parallelism::manager

Struct DistributedExpertManager

pub struct DistributedExpertManager { /* private fields */ }

Expand description

Distributed expert execution manager

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impl DistributedExpertManager

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pub fn new( config: ExpertParallelismConfig, process_group: Arc<ProcessGroup>, expert_params: &ExpertParameters, ) -> TorshResult<Self>

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pub fn create_expert_sharding_map( config: &ExpertParallelismConfig, world_size: usize, rank: usize, ) -> HashMap<usize, ExpertShardInfo>

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pub async fn execute_experts( &mut self, tokens: &Tensor<f32>, routing_decision: &RoutingDecision, ) -> TorshResult<Tensor<f32>>

Execute distributed expert computation

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pub async fn aggregate_expert_gradients( &mut self, expert_gradients: &HashMap<usize, Tensor<f32>>, ) -> TorshResult<()>

Aggregate gradients across distributed experts

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pub fn get_expert_sharding_map(&self) -> &HashMap<usize, ExpertShardInfo>

Get expert sharding information

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pub fn get_local_experts(&self) -> &Vec<Expert>

Get local experts

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pub fn get_config(&self) -> &ExpertParallelismConfig

Get configuration

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pub fn get_num_experts(&self) -> usize

Get the total number of experts across all ranks

Auto Trait Implementations§

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impl !UnwindSafe for DistributedExpertManager

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