code: def test_tensorflow_matrix_rank(
      *,
      dtype_x_hermitian_atol_rtol,
      frontend,
      test_flags,
      backend_fw,
      fn_tree,
      on_device,
  ):
      dtype, x, hermitian, atol, rtol = dtype_x_hermitian_atol_rtol
      assume(matrix_is_stable(x, cond_limit=10))
      helpers.test_frontend_function(
          input_dtypes=dtype,
          frontend=frontend,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          a=x,
          tol=atol,
      )
  
imports: import numpy
  from hypothesis import assume, strategies
  import sys
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test, assert_all_close
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_value1_value2_axis_for_tensordot
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _matrix_rank_helper
label_desc: Use image node_id 26 for calling a global function with example usage: test_tensorflow_matrix_rank() without return types