old_contents: import collections
  
  from chainer import cuda
  from chainer import function
  from chainer.utils import type_check
  
  
  class Crop(function.Function):
  
      """Function that crops one array with the other with axes and offset."""
  
      def __init__(self, shape, axes, offset):
          if not isinstance(shape, collections.Iterable):
              raise TypeError('shape must be 1-D array')
          if isinstance(axes, int):
              axes = tuple(axes)
          elif not isinstance(axes, collections.Iterable):
              raise TypeError('axes must be integer or 1-D array')
          if not isinstance(offset, int):
              raise TypeError('offset must be integer')
          self.shape = shape
          self.axes = axes
          self.offset = offset
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          for axis in self.axes:
              type_check.expect(in_types[0].ndim > axis)
  
      def forward(self, xs):
          ary = xs[0]
          for axis in self.axes:
              ary = ary.swapaxes(axis, 0)
              size = self.shape[axis]
              start = self.offset
              end = start + size
              ary = ary[start:end].swapaxes(axis, 0)
          return ary,
  
      def backward(self, xs, gys):
          xp = cuda.get_array_module(*xs)
          gy = gys[0]
          gx = xp.zeros_like(xs[0])
          gx_orig = gx
          for axis in self.axes:
              gx = gx.swapaxes(axis, 0)
              size = self.shape[axis]
              start = self.offset
              end = start + size
              gx = gx[start:end].swapaxes(axis, 0)
          gx[...] = gy
          return gx_orig,
  
  
  def crop(x, shape, axes, offset=0):
      """Crop one array with the other with axes and offset.
  
      Args:
          x (tuple of Variables): Variable to be cropped.
          shape (tuple or list of ints): Reference shape for cropping.
              The size in each axis specified by 'axes' is used.
          axes (int or tuple of ints):
              Axes that the input array is cropped along with.
          offset (int): Offset for the starting point of cropping.
  
      Returns:
          Variable: :class:``~chainer.Variable`` object
              which is cropped array of ``x0``.
  
      """
      return Crop(shape, axes, offset)(x)
  
new_contents: import collections
  
  from chainer import cuda
  from chainer import function
  from chainer.utils import type_check
  
  
  class Crop(function.Function):
  
      """Function that crops one array with the other with axes and offset."""
  
      def __init__(self, shape, axes, offset):
          if not isinstance(shape, collections.Iterable):
              raise TypeError('shape must be 1-D array')
          if isinstance(axes, int):
              axes = tuple(axes)
          elif not isinstance(axes, collections.Iterable):
              raise TypeError('axes must be integer or 1-D array')
          if not isinstance(offset, int):
              raise TypeError('offset must be integer')
          self.shape = shape
          self.axes = axes
          self.offset = offset
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          for axis in self.axes:
              type_check.expect(in_types[0].ndim > axis)
  
      def forward(self, xs):
          ary = xs[0]
          slices = [slice(None)] * ary.ndim
          for axis in self.axes:
              slices[axis] = slice(self.offset, self.offset + self.shape[axis])
          return ary[tuple(slices)],
  
      def backward(self, xs, gys):
          xp = cuda.get_array_module(*xs)
          gy = gys[0]
          gx = xp.zeros_like(xs[0])
          gx_orig = gx
          for axis in self.axes:
              gx = gx.swapaxes(axis, 0)
              size = self.shape[axis]
              start = self.offset
              end = start + size
              gx = gx[start:end].swapaxes(axis, 0)
          gx[...] = gy
          return gx_orig,
  
  
  def crop(x, shape, axes, offset=0):
      """Crop one array with the other with axes and offset.
  
      Args:
          x (tuple of Variables): Variable to be cropped.
          shape (tuple or list of ints): Reference shape for cropping.
              The size in each axis specified by 'axes' is used.
          axes (int or tuple of ints):
              Axes that the input array is cropped along with.
          offset (int): Offset for the starting point of cropping.
  
      Returns:
          Variable: :class:``~chainer.Variable`` object
              which is cropped array of ``x0``.
  
      """
      return Crop(shape, axes, offset)(x)
  
subject: Use advanced slicing for cropping array in forward of Crop