class_docstr: PS tables correspond to an EmbeddingCollection or EmbeddingBagCollection.
class_docstr_tok: ["PS","tables","correspond","to","an","EmbeddingCollection","or","EmbeddingBagCollection","."]
code: def __getitem__(self, table_name):
      return self._ps_collection[table_name]
  
file_path: torchrec/contrib/dynamic_embedding/src/torchrec_dynamic_embedding/ps.py
imports: import os
  from typing import Callable, Dict, List, Tuple, Union
  import torch
  from torch.distributed._shard.sharded_tensor import ShardedTensor
  from torchrec.distributed.types import ParameterSharding
  from .tensor_list import TensorList
label_desc: Use image node_id 3 for calling the PSCollection obj's underlying member method code with example usage: obj.__getitem__(table_name) and returns: self