class_docstr: BigtableClient is the entrypoint for interacting with Cloud Bigtable in TF.
  
  BigtableClient encapsulates a connection to Cloud Bigtable, and exposes the
  `readSession` method to initiate a Bigtable read session.
class_docstr_tok: ["BigtableClient","is","the","entrypoint","for","interacting","with","Cloud","Bigtable","in","TF",".","BigtableClient","encapsulates","a","connection","to","Cloud","Bigtable",",","and","exposes","the","`","readSession","`","method","to","initiate","a","Bigtable","read","session","."]
docstr: Creates a BigtableClient to start Bigtable read sessions.
docstr_tok: ["Creates","a","BigtableClient","to","start","Bigtable","read","sessions","."]
code: def __init__(self, project_id: str, instance_id: str):
      """Creates a BigtableClient to start Bigtable read sessions."""
      self._client_resource = core_ops.bigtable_client(
          project_id, instance_id
      )
  
imports: from typing import List
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow_io.python.ops import core_ops
  import tensorflow_io.python.ops.bigtable.bigtable_version_filters
  import tensorflow_io.python.ops.bigtable.bigtable_row_set
  import tensorflow_io.python.ops.bigtable.bigtable_row_range
  from tensorflow.python.framework import dtypes
  import tensorflow
  from tensorflow.python.data.ops import dataset_ops
label_desc: Use image node_id 1 to create a new BigtableClient object  with example: obj = BigtableClient(project_id, instance_id)