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 the _evaluate_qnode() method works correctly, i.e., that it gives the same
  result as calling the QNode directly
docstr_tok: ["Test","if","the","_evaluate_qnode","(",")","method","works","correctly",",","i.e.",",","that","it","gives","the","same","result","as","calling","the","QNode","directly"]
code: def test_evaluate_qnode(
      self, get_circuit, n_qubits
  ):  # pylint: disable=no-self-use
      """Test if the _evaluate_qnode() method works correctly, i.e., that it gives the same
      result as calling the QNode directly"""
      c, w = get_circuit
      layer = TorchLayer(c, w)
      x = torch.ones(n_qubits)
  
      layer_out = layer._evaluate_qnode(
          x
      )  # pylint: disable=protected-access
      weights = layer.qnode_weights.values()
      circuit_out = torch.hstack(c(x, *weights)).type(x.dtype)
  
      assert torch.allclose(layer_out, circuit_out)
  
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 16 for calling the TestTorchLayer obj's underlying member method code with example usage: obj.test_evaluate_qnode(get_circuit, n_qubits) without return types