docstr: White image should be returned for gamma equal to zero.
docstr_tok: ["White","image","should","be","returned","for","gamma","equal","to","zero","."]
code: def test_adjust_gamma_less_zero_tensor(self):
      """White image should be returned for gamma equal to zero."""
      with self.cached_session():
          x_data = np.random.uniform(0, 1.0, (8, 8))
          x_np = np.array(x_data, dtype=np.float32)
  
          x = _get_weak_tensor(x_np, shape=x_np.shape)
          y = constant_op.constant(-1.0, dtype=dtypes.float32)
  
          err_msg = "Gamma should be a non-negative real number"
          with self.assertRaisesRegex(
              (ValueError, errors.InvalidArgumentError), err_msg
          ):
              image = image_ops.adjust_gamma(x, gamma=y)
              self.evaluate(image)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the AdjustGamma obj's underlying member method code with example usage: obj.test_adjust_gamma_less_zero_tensor() without return types