code: def test(self):
      np.random.seed(1)  # Make it reproducible.
      x = np.random.randn(3, 4).astype(np.float32)
      x_wt = _get_weak_tensor(x)
      y_wt = nn_ops.relu(x_wt)
      y = np.maximum(x, 0.0)
      z = self.evaluate(y_wt)
  
      self.assertIsInstance(y_wt, weak_tensor.WeakTensor)
      self.assertAllEqual(y, z)
  
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 1 for calling the ReluTest obj's underlying member method code with example usage: obj.test() without return types