code: def test_paddle_sigmoid_focal_loss(
      dtype_and_x,
      dtype_and_normalizer,
      dtype_and_labels,
      alpha,
      gamma,
      reduction,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      x_dtype, x = dtype_and_x
      normalizer_dtype, normalizer = dtype_and_normalizer
      label_dtype, labels = dtype_and_labels
      normalizer = [norm.reshape(-1) for norm in normalizer]
      labels = ivy.array(labels, dtype=ivy.int64)
      helpers.test_frontend_function(
          input_dtypes=[ivy.int64]
          + [ivy.float64]
          + x_dtype
          + normalizer_dtype
          + label_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          logit=x[0],
          label=labels[0],
          alpha=alpha,
          gamma=gamma,
          normalizer=normalizer[0],
          reduction=reduction,
      )
  
imports: from hypothesis import strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 14 for calling a global function with example usage: test_paddle_sigmoid_focal_loss(dtype_and_x, dtype_and_normalizer, dtype_and_labels, alpha, gamma, reduction, on_device, fn_tree, frontend, test_flags, backend_fw) without return types