class_docstr: Test that merging amplitude embedding operations works in all interfaces.
docstr: Test QNode in tensorflow interface.
docstr_tok: ["Test","QNode","in","tensorflow","interface","."]
code: def test_merge_amplitude_embedding_tf(self):
      """Test QNode in tensorflow interface."""
      import tensorflow as tf
  
      def qfunc(amplitude):
          qml.AmplitudeEmbedding(amplitude, wires=0)
          qml.AmplitudeEmbedding(amplitude, wires=1)
          return qml.state()
  
      dev = qml.device("default.qubit", wires=2)
      optimized_qfunc = qml.transforms.merge_amplitude_embedding(qfunc)
      optimized_qnode = qml.QNode(optimized_qfunc, dev)
  
      amplitude = tf.Variable([0.0, 1.0])
      # Check the state |11> is being generated.
      assert optimized_qnode(amplitude)[-1] == 1
  
file_path: pennylane/tests/transforms/test_optimization/test_merge_amplitude_embedding.py
imports: import pytest
  from pennylane import numpy
  import pennylane
  from pennylane.transforms.optimization import merge_amplitude_embedding
  from pennylane._device import DeviceError
label_desc: Use image node_id 3 for calling the TestMergeAmplitudeEmbeddingInterfaces obj's underlying member method code with example usage: obj.test_merge_amplitude_embedding_tf() and returns: qml