code: def test1xNxN(self):
      weights = np.asarray((5, 7, 11, 3, 2, 13, 7, 5)).reshape(
          (1, 2, 4)
      )
      self._test_valid(
          weights=weights,
          values=_test_values((3, 2, 4)),
          expected=np.tile(weights, reps=(3, 1, 1)),
      )
  
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 7 for calling the BroadcastWeightsTest obj's underlying member method code with example usage: obj.test1xNxN() without return types