mlx.data.Stream.partition# Stream.partition(self: mlx.data._c.Stream, num_partitions: int, partition: int) → mlx.data._c.Stream# For every num_partitions consecutive samples return the partition-th. This can be used for distributed settings where different nodes should load different parts of a dataset. Parameters: num_partitions (int) – How many different partitions to split the stream into. partition (int) – Which partition to use (0-based).