class_docstr: Configuration for parsing a fixed-length input feature.
  
  To treat sparse input as dense, provide a `default_value`; otherwise,
  the parse functions will fail on any examples missing this feature.
  
  Fields:
    shape: Shape of input data.
    dtype: Data type of input.
    default_value: Value to be used if an example is missing this feature. It
        must be compatible with `dtype` and of the specified `shape`.
class_docstr_tok: ["Configuration","for","parsing","a","fixed-length","input","feature",".","To","treat","sparse","input","as","dense",",","provide","a","`","default_value","`",";","otherwise",",","the","parse","functions","will","fail","on","any","examples","missing","this","feature",".","Fields",":","shape",":","Shape","of","input","data",".","dtype",":","Data","type","of","input",".","default_value",":","Value","to","be","used","if","an","example","is","missing","this","feature",".","It","must","be","compatible","with","`","dtype","`","and","of","the","specified","`","shape","`","."]
code: def __new__(cls, shape, dtype, default_value=None):
      return super(FixedLenFeature, cls).__new__(
          cls, shape, dtype, default_value
      )
  
imports: import collections
  import re
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  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 math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling the FixedLenFeature obj's underlying member method code with example usage: obj.__new__(cls, shape, dtype, default_value) and returns: super