code: def convtransp2d_output_shape(
      h_w, kernel_size=1, stride=1, pad=0, dilation=1, out_pad=0
  ):
      h_w, kernel_size, stride, pad, dilation, out_pad = (
          num2tuple(h_w),
          num2tuple(kernel_size),
          num2tuple(stride),
          num2tuple(pad),
          num2tuple(dilation),
          num2tuple(out_pad),
      )
      pad = num2tuple(pad[0]), num2tuple(pad[1])
  
      h = (
          (h_w[0] - 1) * stride[0]
          - sum(pad[0])
          + dilation[0] * (kernel_size[0] - 1)
          + out_pad[0]
          + 1
      )
      w = (
          (h_w[1] - 1) * stride[1]
          - sum(pad[1])
          + dilation[1] * (kernel_size[1] - 1)
          + out_pad[1]
          + 1
      )
  
      return h, w
  
label_desc: Use image node_id 3 for calling a global function with example usage: convtransp2d_output_shape(h_w, kernel_size, stride, pad, dilation, out_pad) and returns: h,  w