code: def test_float64_extreme_values_result_and_gradient_finite_and_nonzero(
      self,
  ):
      with self.cached_session() as sess:
          # On the lower branch, log_cdf_laplace(x) = x, so we know this will be
          # fine, but test to -200 anyways.
          grid = _make_grid(
              np.float64, GridSpec(min=-200, max=700, shape=[20, 100])
          )
          grid = ops.convert_to_tensor(grid)
  
          actual = sm.log_cdf_laplace(grid)
          grad = gradients_impl.gradients(actual, grid)[0]
  
          actual_, grad_ = self.evaluate([actual, grad])
  
          # isfinite checks for NaN and Inf.
          self.assertAllTrue(np.isfinite(actual_))
          self.assertAllTrue(np.isfinite(grad_))
          self.assertFalse(np.any(actual_ == 0))
          self.assertFalse(np.any(grad_ == 0))
  
imports: import collections
  import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 6 for calling the LogCDFLaplaceTest obj's underlying member method code with example usage: obj.test_float64_extreme_values_result_and_gradient_finite_and_nonzero() without return types