code: def irfft2(x, s=None, axes=(-2, -1), norm="backward"):
      # Handle values if None
      if s is None:
          s = x.shape
      if axes is None:
          axes = (-2, -1)
  
      # Calculate the normalization factor 'n' based on the shape 's'
      n = ivy.prod(ivy.array(s))
  
      result = ivy.ifftn(x, axes=axes[0], norm=norm)
  
      # Normalize the result based on the 'norm' parameter
      if norm == "backward":
          result /= n
      elif norm == "forward":
          result *= n
      elif norm == "ortho":
          result /= ivy.sqrt(n)
      return result
  
file_path: ivy/ivy/functional/frontends/paddle/fft.py
imports: import ivy
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 13 for calling a global function with example usage: irfft2(x, s, axes, norm) and returns: result