class_docstr: Core Shared Embedding Column.
class_docstr_tok: ["Core","Shared","Embedding","Column","."]
code: def __new__(
      cls,
      categorical_column,
      dimension,
      combiner="mean",
      initializer=None,
      shared_embedding_collection_name=None,
      ckpt_to_load_from=None,
      tensor_name_in_ckpt=None,
      max_norm=None,
      trainable=True,
      max_sequence_length=0,
      learning_rate_fn=None,
      use_safe_embedding_lookup=True,
  ):
      return fc._SharedEmbeddingColumn.__new__(
          cls,
          categorical_column,
          dimension,
          combiner=combiner,
          initializer=initializer,
          shared_embedding_collection_name=shared_embedding_collection_name,
          ckpt_to_load_from=ckpt_to_load_from,
          tensor_name_in_ckpt=tensor_name_in_ckpt,
          max_norm=max_norm,
          trainable=trainable,
          use_safe_embedding_lookup=use_safe_embedding_lookup,
      )
  
imports: import math
  from tensorflow.python.feature_column import feature_column
  from tensorflow.python.feature_column import feature_column_lib
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.tpu import tpu
  from tensorflow.python.tpu import tpu_function
  from tensorflow.python.tpu import tpu_replication
label_desc: Use image node_id 1 for calling the _TPUSharedEmbeddingColumn obj's underlying member method code with example usage: obj.__new__(cls, categorical_column, dimension, combiner, initializer, shared_embedding_collection_name, ckpt_to_load_from, tensor_name_in_ckpt, max_norm, trainable, max_sequence_length, learning_rate_fn, use_safe_embedding_lookup) and returns: fc