class_docstr: Represents sequences of numeric data.
class_docstr_tok: ["Represents","sequences","of","numeric","data","."]
docstr: Returns a `TensorShape` representing the shape of sequence input.
docstr_tok: ["Returns","a","`","TensorShape","`","representing","the","shape","of","sequence","input","."]
code: def variable_shape(self):
      """Returns a `TensorShape` representing the shape of sequence input."""
      return tensor_shape.TensorShape(self.shape)
  
imports: import collections
  from tensorflow.python.feature_column import feature_column_v2
  from tensorflow.python.feature_column import serialization
  from tensorflow.python.feature_column import utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
  from tensorflow.tools.docs import doc_controls
label_desc: Use image node_id 5 for calling the SequenceNumericColumn obj's underlying member method code with example usage: obj.variable_shape() and returns: tensor_shape