class_docstr: A bijector that clips by value.
  
  This class is intended for minute numerical issues where `|clip(x) - x| <=
  eps`, as it defines the derivative of its application to be exactly 1.
class_docstr_tok: ["A","bijector","that","clips","by","value",".","This","class","is","intended","for","minute","numerical","issues","where","`","|clip","(","x",")","-","x|","<","=","eps","`",",","as","it","defines","the","derivative","of","its","application","to","be","exactly","1","."]
code: def _is_increasing(cls):
      return False
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import cholesky_outer_product
  from tensorflow_probability.python.bijectors import correlation_cholesky
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import linalg
  from tensorflow_probability.python.math import special
  from tensorflow_probability.python.math.numeric import clip_by_value_preserve_gradient
  from tensorflow_probability.python.random import random_ops
  from tensorflow.python.ops import control_flow_util
label_desc: Use image node_id 2 for calling the _ClipByValue obj's underlying member method code with example usage: obj._is_increasing(cls) and returns: False