code: def test_batch_input_single_measure(tol):
      """Test input batching in keras"""
      dev = qml.device("default.qubit.tf", wires=4)
  
      @qml.qnode(dev, diff_method="parameter-shift")
      def circuit(x, weights):
          qml.AngleEmbedding(x, wires=range(4), rotation="Y")
          qml.RY(weights[0], wires=0)
          qml.RY(weights[1], wires=1)
          return qml.probs(op=qml.PauliZ(1))
  
      KerasLayer.set_input_argument("x")
      layer = KerasLayer(
          circuit, weight_shapes={"weights": (2,)}, output_dim=(2,)
      )
      layer.build((None, 2))
  
      x = tf.constant(np.random.uniform(0, 1, (10, 4)))
      res = layer(x)
  
      assert res.shape == (10, 2)
      assert dev.num_executions == 1
  
      for x_, r in zip(x, res):
          assert qml.math.allclose(
              r, circuit(x_, layer.qnode_weights["weights"]), atol=tol
          )
  
      # reset back to the old name
      KerasLayer.set_input_argument("inputs")
  
imports: from collections import defaultdict
  import numpy
  import pytest
  import pennylane
label_desc: Use image node_id 7 for calling a global function with example usage: test_batch_input_single_measure(tol) and returns: qml