code: def test_solve_triangular(
      *, data, test_flags, backend_fw, fn_name, on_device
  ):
      # Temporarily ignore gradients on paddlepaddle backend
      # See: https://github.com/unifyai/ivy/pull/25917
      assume(not (backend_fw == "paddle" and test_flags.test_gradients))
      upper, adjoint, unit_diagonal, input_dtypes, x = data
      helpers.test_function(
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e-3,
          atol_=1e-3,
          input_dtypes=input_dtypes,
          x1=x[0],
          x2=x[1],
          upper=upper,
          adjoint=adjoint,
          unit_diagonal=unit_diagonal,
      )
  
imports: import math
  from hypothesis import strategies
  from hypothesis import assume
  import numpy
  import pytest
  import itertools
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  import ivy
label_desc: Use image node_id 49 for calling a global function with example usage: test_solve_triangular() without return types