code: def test_draw():
      """Test that a KerasLayer can be drawn using qml.draw"""
  
      dev = qml.device("default.qubit", wires=2)
      weight_shapes = {"w1": 1, "w2": (3, 2, 3)}
  
      @qml.qnode(dev, interface="tensorflow")
      def circuit(inputs, w1, w2):
          qml.templates.AngleEmbedding(inputs, wires=[0, 1])
          qml.RX(w1, wires=0)
          qml.templates.StronglyEntanglingLayers(w2, wires=[0, 1])
          return qml.expval(qml.PauliZ(0)), qml.expval(qml.PauliZ(1))
  
      qlayer = KerasLayer(circuit, weight_shapes, output_dim=2)
  
      # make the rotation angle positive to prevent the extra minus sign messing up the alignment
      qlayer.qnode_weights["w1"] = tf.abs(qlayer.qnode_weights["w1"])
  
      batch_size = 5
      x = tf.constant(np.random.uniform(0, 1, (batch_size, 2)))
  
      actual = qml.draw(qlayer)(x)
  
      w1 = f"{qlayer.qnode_weights['w1'].numpy():.2f}"
      m1 = f"{qlayer.qnode_weights['w2'].numpy()}"
      expected = (
          f"0: ─╭AngleEmbedding(M0)──RX({w1})─╭StronglyEntanglingLayers(M1)─┤  <Z>\n"
          f"1: ─╰AngleEmbedding(M0)───────────╰StronglyEntanglingLayers(M1)─┤  <Z>\n"
          f"\n"
          f"M0 = \n{x}\n"
          f"M1 = \n{m1}"
      )
  
      assert actual == expected
  
imports: from collections import defaultdict
  import numpy
  import pytest
  import pennylane
label_desc: Use image node_id 9 for calling a global function with example usage: test_draw() and returns: qml,  qml