code: def test_torch_instance_norm(
      *,
      data,
      use_input_stats,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
  ):
      (
          input_dtype,
          input,
          weight,
          bias,
          running_mean,
          running_var,
          momentum,
          eps,
      ) = data
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          atol=1e-1,
          rtol=1e-1,
          input=input,
          running_mean=running_mean,
          running_var=running_var,
          weight=weight,
          bias=bias,
          use_input_stats=use_input_stats,
          momentum=momentum,
          eps=eps,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_torch/test_nn/test_functional/test_norms.py
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 5 for calling a global function with example usage: test_torch_instance_norm() without return types