code: def binary_erosion(
      input,
      structure=None,
      iterations=1,
      mask=None,
      output=None,
      border_value=0,
      origin=0,
      brute_force=False,
  ):
      """Multidimensional binary erosion with a given structuring element.
  
      Binary erosion is a mathematical morphology operation used for image
      processing.
  
      Args:
          input(cupy.ndarray): The input binary array_like to be eroded.
              Non-zero (True) elements form the subset to be eroded.
          structure(cupy.ndarray, optional): The structuring element used for the
              erosion. Non-zero elements are considered True. If no structuring
              element is provided an element is generated with a square
              connectivity equal to one. (Default value = None).
          iterations(int, optional): The erosion is repeated ``iterations`` times
              (one, by default). If iterations is less than 1, the erosion is
              repeated until the result does not change anymore. Only an integer
              of iterations is accepted.
          mask(cupy.ndarray or None, optional): If a mask is given, only those
              elements with a True value at the corresponding mask element are
              modified at each iteration. (Default value = None)
          output(cupy.ndarray, optional): Array of the same shape as input, into
              which the output is placed. By default, a new array is created.
          border_value(int (cast to 0 or 1), optional): Value at the
              border in the output array. (Default value = 0)
          origin(int or tuple of ints, optional): Placement of the filter, by
              default 0.
          brute_force(boolean, optional): Memory condition: if False, only the
              pixels whose value was changed in the last iteration are tracked as
              candidates to be updated (eroded) in the current iteration; if
              True all pixels are considered as candidates for erosion,
              regardless of what happened in the previous iteration.
  
      Returns:
          cupy.ndarray: The result of binary erosion.
  
      .. warning::
  
          This function may synchronize the device.
  
      .. seealso:: :func:`scipy.ndimage.binary_erosion`
      """
      return _binary_erosion(
          input,
          structure,
          iterations,
          mask,
          output,
          border_value,
          origin,
          0,
          brute_force,
      )
  
imports: import operator
  import warnings
  import numpy
  import cupy
  from cupy import _core
  from cupyx.scipy.ndimage import _filters_core
  from cupyx.scipy.ndimage import _util
  from cupyx.scipy.ndimage import _filters
label_desc: Use image node_id 6 for calling a global function with example usage: binary_erosion(input, structure, iterations, mask, output, border_value, origin, brute_force) and returns: _binary_erosion