class_docstr: Unittests for the dot function when ``pauli=False``.
docstr: Test the dot function with the torch interface.
docstr_tok: ["Test","the","dot","function","with","the","torch","interface","."]
code: def test_dot_torch(self, dtype):
      """Test the dot function with the torch interface."""
      import torch
  
      c = torch.tensor([1.0, 2.0, 3.0], dtype=getattr(torch, dtype))
      o = [qml.PauliX(0), qml.PauliY(1), qml.PauliZ(2)]
      op_sum = qml.dot(c, o)
      op_sum_2 = Sum(
          qml.PauliX(0),
          SProd(
              torch.tensor(2.0, dtype=getattr(torch, dtype)),
              qml.PauliY(1),
          ),
          SProd(
              torch.tensor(3.0, dtype=getattr(torch, dtype)),
              qml.PauliZ(2),
          ),
      )
      assert qml.equal(op_sum, op_sum_2)
  
imports: import pytest
  import pennylane
  from pennylane.ops import Hamiltonian, Prod, SProd, Sum
  from pennylane.pauli.pauli_arithmetic import PauliSentence
label_desc: Use image node_id 10 for calling the TestDotSum obj's underlying member method code with example usage: obj.test_dot_torch(dtype) without return types