code: def testEmptySucceeds(self):
      with self.cached_session():
          x = array_ops.placeholder(dtypes.float32)
          y = array_ops.identity(x)
          for grad in gradient_checker.compute_gradient(
              x, (0, 3), y, (0, 3)
          ):
              self.assertEqual(grad.shape, (0, 0))
          error = gradient_checker.compute_gradient_error(
              x, (0, 3), y, (0, 3)
          )
          self.assertEqual(error, 0)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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 math_ops
  from tensorflow.python.ops import nn_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 8 for calling the GradientCheckerTest obj's underlying member method code with example usage: obj.testEmptySucceeds() without return types