code: def _test_grid_log(self, dtype, scipy_dtype, grid_spec, error_spec):
      with self.cached_session():
          grid = _make_grid(dtype, grid_spec)
          actual = sm.log_cdf_laplace(grid).eval()
  
          # Basic tests.
          # isfinite checks for NaN and Inf.
          self.assertAllTrue(np.isfinite(actual))
          self.assertAllTrue((actual < 0))
          _check_strictly_increasing(actual)
  
          # Versus scipy.
          if not stats:
              return
  
          scipy_dist = stats.laplace(loc=0.0, scale=1.0)
          expected = scipy_dist.logcdf(grid.astype(scipy_dtype))
          self.assertAllClose(
              expected.astype(np.float64),
              actual.astype(np.float64),
              rtol=error_spec.rtol,
              atol=error_spec.atol,
          )
  
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 2 for calling the LogCDFLaplaceTest obj's underlying member method code with example usage: obj._test_grid_log(dtype, scipy_dtype, grid_spec, error_spec) without return types