code: def test_paddle_cholesky_solve(
      *,
      x,
      y,
      frontend,
      backend_fw,
      test_flags,
      fn_tree,
      on_device,
  ):
      input_dtype1, x1 = x
      input_dtype2, x2 = y
      helpers.test_frontend_function(
          input_dtypes=[input_dtype1, input_dtype2],
          frontend=frontend,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          rtol=1e-3,
          atol=1e-3,
          x=x1,
          y=x2,
          upper=np.array_equal(
              x2, np.triu(x2)
          ),  # check whether the matrix is upper
      )
  
imports: import ivy
  from hypothesis import strategies, assume
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import assert_all_close
  from ivy_tests.test_ivy.helpers import handle_frontend_test, matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_and_matrix
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_linalg import _get_second_matrix, _get_cholesky_matrix
  from ivy_tests.test_ivy.test_frontends.test_torch.test_blas_and_lapack_ops import _get_dtype_input_and_mat_vec
label_desc: Use image node_id 12 for calling a global function with example usage: test_paddle_cholesky_solve() without return types