class_docstr: Shared logic for amplitude/length_scale parameterized kernels.
class_docstr_tok: ["Shared","logic","for","amplitude\/length_scale","parameterized","kernels","."]
code: def _inverse_length_scale_parameter(self):
      if self.inverse_length_scale is None:
          if self.length_scale is not None:
              return tf.math.reciprocal(self.length_scale)
          return None
      return tf.convert_to_tensor(self.inverse_length_scale)
  
imports: import numpy
  import tensorflow.compat.v2
  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 tensor_util
  from tensorflow_probability.python.math import bessel
  from tensorflow_probability.python.math.psd_kernels import positive_semidefinite_kernel
  from tensorflow_probability.python.math.psd_kernels.internal import util
label_desc: Use image node_id 5 for calling the _AmplitudeLengthScaleMixin obj's underlying member method code with example usage: obj._inverse_length_scale_parameter() and returns: tf, None, tf