code: def test_matrix_norm(
      *,
      dtype_value_axis,
      kd,
      ord,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      dtype, x, axis = dtype_value_axis
      assume(matrix_is_stable(x[0], cond_limit=10))
      helpers.test_function(
          input_dtypes=dtype,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e-1,
          atol_=1e-2,
          x=x[0],
          axis=axis,
          keepdims=kd,
          ord=ord,
      )
  
imports: import sys
  import numpy
  from hypothesis import assume, strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 20 for calling a global function with example usage: test_matrix_norm() without return types