code: def unfold(input, kernel_size, dilation=1, padding=0, stride=1):
      # TODO: refactor this function to use ivy.sliding_window, but ensure that the
      # function is transpilable to all backends with varying batch size(see issue #25796)
      if input.ndim != 4:
          raise ivy.utils.exceptions.IvyException(
              "only batched 4D inputs are supported"
          )
      stride = [stride] * 2 if isinstance(stride, int) else stride
      dilation = (
          [dilation] * 2 if isinstance(dilation, int) else dilation
      )
      padding = [padding] * 2 if isinstance(padding, int) else padding
      kernel_size = (
          [kernel_size] * 2
          if isinstance(kernel_size, int)
          else kernel_size
      )
      output_shape = [
          (
              input.shape[i + 2]
              + 2 * padding[i]
              - dilation[i] * (kernel_size[i] - 1)
              - 1
          )
          // stride[i]
          + 1
          for i in range(2)
      ]
      ret = ivy.zeros(
          (*input.shape[0:2], *kernel_size, *output_shape),
          dtype=input.dtype,
      )
      input_padded = ivy.zero_pad(
          input,
          ((0, 0), (0, 0), (padding[0],) * 2, (padding[1],) * 2),
      )
      for i in range(output_shape[0]):
          for j in range(output_shape[1]):
              i_in = i * stride[0]
              j_in = j * stride[1]
              ret[:, :, :, :, i, j] = input_padded[
                  :,
                  :,
                  i_in : i_in
                  + kernel_size[0] * dilation[0] : dilation[0],
                  j_in : j_in
                  + kernel_size[1] * dilation[1] : dilation[1],
              ]
      return ivy.reshape(
          ret,
          (input.shape[0], input.shape[1] * math.prod(kernel_size), -1),
      )
  
file_path: ivy/ivy/functional/frontends/torch/nn/functional/convolution_functions.py
imports: import math
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 11 for calling a global function with example usage: unfold(input, kernel_size, dilation, padding, stride) and returns: ivy