code: def test_broadcast_like():
      x = nd.ones((1, 2)) * 10
      y = nd.ones((100, 100, 2)) * 20
      assert mx.test_utils.almost_equal(
          x.broadcast_like(y).asnumpy(),
          broadcast_like(nd, x, y).asnumpy(),
      )
  
imports: import pytest
  import mxnet
  from mxnet import nd
  import numpy
  from rl_coach.architectures.mxnet_components.utils import *
label_desc: Use image node_id 13 for calling a global function with example usage: test_broadcast_like() without return types