code: def testGradient(self, x_shape):
      x_np = np.random.randn(*x_shape).astype(np.float64)
      with self.cached_session():
          x_tf = _get_weak_tensor(x_np)
          theoretical, numerical = gradient_checker_v2.compute_gradient(
              nn_ops.log_softmax_v2, [x_tf]
          )
          self.assertAllClose(theoretical, numerical)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import weak_tensor
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the LogSoftmaxTest obj's underlying member method code with example usage: obj.testGradient(x_shape) without return types