message: dnn(pytest/test_input_3d): reload model between switching targets
diff: @@ -323,20 +323,22 @@ class dnn_test(NewOpenCVTests):
  raise unittest.SkipTest("Missing DNN test files (dnn/onnx/data/{input/output}_hidden_lstm.npy). "
  "Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
  - net = cv.dnn.readNet(model)
  input = np.load(input_file)
  # we have to expand the shape of input tensor because Python bindings cut 3D tensors to 2D
  # it should be fixed in future. see : https://github.com/opencv/opencv/issues/19091
  # please remove `expand_dims` after that
  input = np.expand_dims(input, axis=3)
  gold_output = np.load(output_file)
  - net.setInput(input)
  for backend, target in self.dnnBackendsAndTargets:
  printParams(backend, target)
  + net = cv.dnn.readNet(model)
  +
  net.setPreferableBackend(backend)
  net.setPreferableTarget(target)
  +
  + net.setInput(input)
  real_output = net.forward()
  normAssert(self, real_output, gold_output, "", getDefaultThreshold(target))
  