code: def testCallMultiBatch(self):
      l = linear.Linear(5)
      input_tensor = tf.random.uniform([1, 2, 3, 4])
      tf_output = l(input_tensor)
  
      w_np = l.w.numpy()
      b_np = l.b.numpy()
      input_tensor_np = input_tensor.numpy()
      np_output = np.matmul(input_tensor_np, w_np) + b_np
  
      # TPU uses bfloat16 internally, so larger deviations are expected.
      self.assertAllClose(tf_output, np_output, atol=1e-2, rtol=5e-2)
  
imports: from absl.testing import parameterized
  import numpy
  from sonnet.src import linear
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 9 for calling the LinearTest obj's underlying member method code with example usage: obj.testCallMultiBatch() without return types