Struct DistributedConfig 

pub struct DistributedConfig {
    pub backend: String,
    pub master_port: u16,
}

Configuration for distributed GPU job coordination.

When enabled on a multi-replica GPU service, ZLayer injects standard distributed training environment variables (MASTER_ADDR, MASTER_PORT, WORLD_SIZE, RANK, LOCAL_RANK) so frameworks like PyTorch, Horovod, and DeepSpeed can coordinate automatically.

Fields

backend: String

Communication backend: “nccl” (default), “gloo”, or “mpi”

master_port: u16

Port for rank-0 master coordination (default: 29500)

Trait Implementations

impl Clone for DistributedConfig

fn clone(&self) -> DistributedConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DistributedConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DistributedConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DistributedConfig

fn eq(&self, other: &DistributedConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for DistributedConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Validate for DistributedConfig

fn validate(&self) -> Result<(), ValidationErrors>

impl<'v_a> ValidateArgs<'v_a> for DistributedConfig

type Args = ()

fn validate_with_args(&self, args: Self::Args) -> Result<(), ValidationErrors>

impl Eq for DistributedConfig

impl StructuralPartialEq for DistributedConfig