code: def _new_rfft(x: torch.Tensor):
      z = new_fft.rfft(x, dim=-1)
      return torch.view_as_real(z)
  
file_path: julius/julius/fftconv.py
imports: from typing import Optional
  import torch
  from torch.nn import functional
  from .core import pad_to, unfold
  from .utils import simple_repr
label_desc: Use image node_id 1 for calling a global function with example usage: _new_rfft(x) and returns: torch