code: def test_l2_loss(self):
      for _ in range(10):
          tensor = np.random.random(8)
          tf_loss = tf_l2_loss(tf.constant(tensor))
          torch_loss = torch_l2_loss(torch.Tensor(tensor))
          self.assertAlmostEqual(
              tf_loss.numpy(), torch_loss.numpy(), places=3
          )
  
imports: import gymnasium
  import numpy
  import tree
  import unittest
  import ray
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
  from ray.rllib.utils.numpy import flatten_inputs_to_1d_tensor
  from ray.rllib.utils.numpy import make_action_immutable
  from ray.rllib.utils.test_utils import check
  from ray.rllib.utils.tf_utils import flatten_inputs_to_1d_tensor, l2_loss, one_hot
  from ray.rllib.utils.torch_utils import flatten_inputs_to_1d_tensor, l2_loss, one_hot
label_desc: Use image node_id 7 for calling the TestUtils obj's underlying member method code with example usage: obj.test_l2_loss() without return types