code: def testClipTensorByGlobalNormMultipleDtypes(self):
      (a, b), _ = self.evaluate(
          clip_ops.clip_by_global_norm(
              [
                  ops.convert_to_tensor(
                      [-3.0, 0.0, 0.0], dtype=dtypes.float32
                  ),
                  ops.convert_to_tensor(
                      [4.0, 0.0, 0.0], dtype=dtypes.bfloat16
                  ),
              ],
              clip_norm=4.0,
              use_norm=ops.convert_to_tensor(5.0, dtype=dtypes.float32),
          )
      )
      self.assertAllClose(a, [-2.4, 0.0, 0.0])
      self.assertEqual(a.dtype, dtypes.float32)
      self.assertAllClose(b, [3.203125, 0.0, 0.0])
      self.assertEqual(b.dtype, dtypes.bfloat16)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import numerics
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the ClipOpsTest obj's underlying member method code with example usage: obj.testClipTensorByGlobalNormMultipleDtypes() without return types