code: def test_torch_layer_norm(
      *,
      dtype_x_and_axis,
      epsilon,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      dtype, x, axis, weight, bias, new_std = dtype_x_and_axis
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          rtol=1e-1,
          atol=1e-1,
          input=x[0],
          normalized_shape=axis,
          weight=weight[0],
          bias=bias[0],
          eps=epsilon,
      )
  
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 6 for calling a global function with example usage: test_torch_layer_norm() without return types