class_docstr: Unit tests for the pennylane.qnn.torch.TorchLayer class.
class_docstr_tok: ["Unit","tests","for","the","pennylane.qnn.torch.TorchLayer","class","."]
docstr: Test if a TypeError is raised when instantiated with a QNode that does not have an
  argument with name equal to the input_arg class attribute of TorchLayer
docstr_tok: ["Test","if","a","TypeError","is","raised","when","instantiated","with","a","QNode","that","does","not","have","an","argument","with","name","equal","to","the","input_arg","class","attribute","of","TorchLayer"]
code: def test_no_input(self):  # pylint: disable=no-self-use
      """Test if a TypeError is raised when instantiated with a QNode that does not have an
      argument with name equal to the input_arg class attribute of TorchLayer
      """
      dev = qml.device("default.qubit", wires=1)
      weight_shapes = {"w1": (3, 3), "w2": 1}
  
      @qml.qnode(dev, interface="torch")
      def circuit(w1, w2):  # pylint: disable=unused-argument
          return qml.expval(qml.PauliZ(0))
  
      with pytest.raises(
          TypeError, match="QNode must include an argument with name"
      ):
          TorchLayer(circuit, weight_shapes)
  
imports: from unittest import mock
  import math
  from collections import defaultdict
  import numpy
  import pytest
  import pennylane
  from pennylane.qnn.torch import TorchLayer
label_desc: Use image node_id 2 for calling the TestTorchLayer obj's underlying member method code with example usage: obj.test_no_input() and returns: qml