code: def run_inference(self, input_patches):
      output_patches = np.ones_like(input_patches)
  
      front_border_slice = (
          [slice(None)]
          + [
              slice(self.border_width, -self.border_width, None)
              for dim in self.patch_dimensions
          ]
          + [slice(None)]
      )
  
      output_patches[tuple(front_border_slice)] = 0
  
      return output_patches
  
file_path: DeepNeuro/deepneuro/outputs/toy.py
imports: import numpy
  from deepneuro.utilities.util import add_parameter
  from deepneuro.outputs.segmentation import PatchesInference
label_desc: Use image node_id 3 for calling the PatchDiagram obj's underlying member method code with example usage: obj.run_inference(input_patches) and returns: output_patches