code: def testNxNxN(self):
      weights = np.asarray(
          (
              5,
              7,
              11,
              3,
              2,
              12,
              7,
              5,
              2,
              17,
              11,
              3,
              2,
              17,
              11,
              3,
              5,
              7,
              11,
              3,
              2,
              12,
              7,
              5,
          )
      ).reshape((3, 2, 4))
      self._test_valid(
          weights=weights,
          values=_test_values((3, 2, 4)),
          expected=weights,
      )
  
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import weights_broadcast_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the BroadcastWeightsTest obj's underlying member method code with example usage: obj.testNxNxN() without return types