[ThBSSKrSSKJr "SS\R5rg)Ncp\rSrSrSr\R S\RS\R4Sj5r Sr g)SharderaT This is an interface which allows user to create more advanced sharding strategies that are not easily be composed by the `ShardingSpec`. :class:`torch.distributed._shard.sharding_plan.ShardingPlan` could take an object of the `Sharder` and call `shard` to shard the module, then replace the original module with sharded module returned. modulereturncg)a) Shard a module base on the implementation of this method, and return the sharded version of the module. Args: module (:class:`torch.nn.Module`): The module to apply sharding to. Returns: A :class:`torch.nn.Module` object that represents a module that's already been sharded. N)selfrs X/var/www/auris/envauris/lib/python3.13/site-packages/torch/distributed/_shard/sharder.pyshard Sharder.shardsr N) __name__ __module__ __qualname____firstlineno____doc__abcabstractmethodnnModuler __static_attributes__r rr rrs7   BII  "))    rr)rtorch.nnrABCrr rr rs  cgg r