code: def testEmptySucceeds(self):
      def f(x):
          return array_ops.identity(x)
  
      x = constant_op.constant(
          np.random.random_sample((0, 3)), dtype=dtypes.float32
      )
      for grad in gradient_checker.compute_gradient(f, [x]):
          self.assertEqual(grad[0].shape, (0, 0))
      error = gradient_checker.max_error(
          *gradient_checker.compute_gradient(f, [x])
      )
      self.assertEqual(error, 0)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 11 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testEmptySucceeds() and returns: array_ops