code: def check_operator_erase_with_normalized_coords(
      device,
      batch_size,
      input_shape,
      anchor,
      shape,
      axis_names,
      input_layout,
      anchor_norm,
      shape_norm,
      normalized_anchor,
      normalized_shape,
  ):
      eii1 = RandomDataIterator(
          batch_size, shape=input_shape, dtype=np.float32
      )
      eii2 = RandomDataIterator(
          batch_size, shape=input_shape, dtype=np.float32
      )
      compare_pipelines(
          ErasePipeline(
              device,
              batch_size,
              input_layout,
              iter(eii1),
              anchor=anchor_norm,
              shape=shape_norm,
              normalized_anchor=normalized_anchor,
              normalized_shape=normalized_shape,
              axis_names=axis_names,
              axes=None,
              fill_value=0,
          ),
          ErasePipeline(
              device,
              batch_size,
              input_layout,
              iter(eii2),
              anchor=anchor,
              shape=shape,
              axis_names=axis_names,
              axes=None,
              fill_value=0,
          ),
          batch_size=batch_size,
          N_iterations=3,
          eps=1e-04,
      )
  
imports: from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.ops
  import numpy
  from functools import partial
  from test_utils import compare_pipelines
  from test_utils import RandomDataIterator
label_desc: Use image node_id 6 for calling a global function with example usage: check_operator_erase_with_normalized_coords(device, batch_size, input_shape, anchor, shape, axis_names, input_layout, anchor_norm, shape_norm, normalized_anchor, normalized_shape) without return types