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 the __str__ and __repr__ representations
docstr_tok: ["Test","the","__str__","and","__repr__","representations"]
code: def test_str_repr(self, get_circuit):  # pylint: disable=no-self-use
      """Test the __str__ and __repr__ representations"""
      c, w = get_circuit
      layer = TorchLayer(c, w)
  
      assert layer.__str__() == "<Quantum Torch Layer: func=circuit>"
      assert layer.__repr__() == "<Quantum Torch Layer: func=circuit>"
  
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 22 for calling the TestTorchLayer obj's underlying member method code with example usage: obj.test_str_repr(get_circuit) without return types