code: def testNx1x1(self):
      weights = np.asarray((5, 7, 11)).reshape((3, 1, 1))
      self._test_valid(
          weights=weights,
          values=_test_values((3, 2, 4)),
          expected=np.tile(weights, reps=(1, 2, 4)),
      )
  
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 8 for calling the BroadcastWeightsTest obj's underlying member method code with example usage: obj.testNx1x1() without return types