class_docstr: Represents sequences of numeric data.
class_docstr_tok: ["Represents","sequences","of","numeric","data","."]
docstr: See `FeatureColumn` base class.
  
  In this case, we apply the `normalizer_fn` to the input tensor.
  
  Args:
    transformation_cache: A `FeatureTransformationCache` object to access
      features.
    state_manager: A `StateManager` to create / access resources such as
      lookup tables.
  
  Returns:
    Normalized input tensor.
docstr_tok: ["See","`","FeatureColumn","`","base","class",".","In","this","case",",","we","apply","the","`","normalizer_fn","`","to","the","input","tensor",".","Args",":","transformation_cache",":","A","`","FeatureTransformationCache","`","object","to","access","features",".","state_manager",":","A","`","StateManager","`","to","create","\/","access","resources","such","as","lookup","tables",".","Returns",":","Normalized","input","tensor","."]
code: def transform_feature(self, transformation_cache, state_manager):
      """See `FeatureColumn` base class.
  
      In this case, we apply the `normalizer_fn` to the input tensor.
  
      Args:
        transformation_cache: A `FeatureTransformationCache` object to access
          features.
        state_manager: A `StateManager` to create / access resources such as
          lookup tables.
  
      Returns:
        Normalized input tensor.
      """
      input_tensor = transformation_cache.get(self.key, state_manager)
      if self.normalizer_fn is not None:
          input_tensor = self.normalizer_fn(input_tensor)
      return input_tensor
  
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 4 for calling the SequenceNumericColumn obj's underlying member method code with example usage: obj.transform_feature(transformation_cache, state_manager) and returns: input_tensor