code: def _output_size(ctx, input1):
      iH, iW = input1.size(2), input1.size(3)
      batch_size = input1.size(0)
      kH, kW = ctx.kernel_size
      patch_size = ctx.patch_size
      dH, dW = ctx.stride
      padH, padW = ctx.padding
      dilationH, dilationW = ctx.dilation
      dilatedKH = (kH - 1) * dilationH + 1
      dilatedKW = (kW - 1) * dilationW + 1
  
      oH = int((iH + 2 * padH - dilatedKH) / dH + 1)
      oW = int((iW + 2 * padW - dilatedKW) / dW + 1)
  
      output_size = (batch_size, patch_size, patch_size, oH, oW)
      return output_size
  
file_path: lavis/lavis/common/annotator/uniformer/mmcv/ops/correlation.py
imports: import torch
  from torch import Tensor, nn
  from torch.autograd import Function
  from torch.autograd.function import once_differentiable
  from torch.nn.modules.utils import _pair
  from ..utils import ext_loader
label_desc: Use image node_id 3 for calling the CorrelationFunction obj's underlying member method code with example usage: obj._output_size(ctx, input1) and returns: output_size