Parallelism strategies help speed up diffusion transformers by distributing computations across multiple devices, allowing for faster inference/training times. Refer to the Distributed inferece guide to learn more.
( context_parallel_config: typing.Optional[diffusers.models._modeling_parallel.ContextParallelConfig] = None _rank: int = None _world_size: int = None _device: device = None _cp_mesh: DeviceMesh = None )
Configuration for applying different parallelisms.
( ring_degree: typing.Optional[int] = None ulysses_degree: typing.Optional[int] = None convert_to_fp32: bool = True rotate_method: typing.Literal['allgather', 'alltoall'] = 'allgather' _rank: int = None _world_size: int = None _device: device = None _mesh: DeviceMesh = None _flattened_mesh: DeviceMesh = None _ring_mesh: DeviceMesh = None _ulysses_mesh: DeviceMesh = None _ring_local_rank: int = None _ulysses_local_rank: int = None )
Parameters
int, optional, defaults to 1) —
Number of devices to use for ring attention within a context parallel region. Must be a divisor of the
total number of devices in the context parallel mesh. int, optional, defaults to 1) —
Number of devices to use for ulysses attention within a context parallel region. Must be a divisor of the
total number of devices in the context parallel mesh. bool, optional, defaults to True) —
Whether to convert output and LSE to float32 for ring attention numerical stability. str, optional, defaults to "allgather") —
Method to use for rotating key/value states across devices in ring attention. Currently, only "allgather"
is supported. Configuration for context parallelism.
( module: Module parallel_config: ContextParallelConfig plan: typing.Dict[str, typing.Dict[str, typing.Union[typing.Dict[typing.Union[str, int], typing.Union[diffusers.models._modeling_parallel.ContextParallelInput, typing.List[diffusers.models._modeling_parallel.ContextParallelInput], typing.Tuple[diffusers.models._modeling_parallel.ContextParallelInput, ...]]], diffusers.models._modeling_parallel.ContextParallelOutput, typing.List[diffusers.models._modeling_parallel.ContextParallelOutput], typing.Tuple[diffusers.models._modeling_parallel.ContextParallelOutput, ...]]]] )
Apply context parallel on a model.