code: def _instance_and_batch_norm_helper(
      draw, *, min_num_dims=1, min_dim_size=1
  ):
      x_dtype, x, shape = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("float"),
              large_abs_safety_factor=24,
              small_abs_safety_factor=24,
              safety_factor_scale="log",
              min_num_dims=min_num_dims,
              max_num_dims=4,
              min_dim_size=min_dim_size,
              ret_shape=True,
          )
      )
      _, variance = draw(
          helpers.dtype_and_values(
              dtype=x_dtype,
              shape=(shape[1],),
              large_abs_safety_factor=24,
              small_abs_safety_factor=24,
              safety_factor_scale="log",
          )
      )
      _, mean = draw(
          helpers.dtype_and_values(
              dtype=x_dtype,
              shape=(shape[1],),
              large_abs_safety_factor=24,
              small_abs_safety_factor=24,
              safety_factor_scale="log",
          )
      )
      _, others = draw(
          st.one_of(
              helpers.dtype_and_values(
                  dtype=x_dtype * 2,
                  shape=(shape[1],),
                  large_abs_safety_factor=24,
                  small_abs_safety_factor=24,
                  safety_factor_scale="log",
                  num_arrays=2,
              ),
              st.just(([None, None], [None, None])),
          )
      )
      momentum = draw(helpers.floats(min_value=0.01, max_value=0.1))
      eps = draw(helpers.floats(min_value=1e-5, max_value=0.1))
      return (
          x_dtype,
          x[-1],
          others[0],
          others[1],
          mean[0],
          variance[0],
          momentum,
          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 2 for calling a global function with example usage: _instance_and_batch_norm_helper(draw) and returns: x_dtype,  x,  others,  others,  mean,  variance,  momentum,  eps