text: import torch
  import torch.nn as nn
  from torch.autograd import Variable
  from modules.roi_pool import RoIPool
  
  spatial_scale = 0.0625
  group_size = 7
  output_dim = 392
  
  
  indata = torch.randn(1,3,224,224)
  indata = indata.cuda()
  indata = Variable(indata)
  
  
  rois = torch.IntTensor([[1,120,100,220,200],[1,230,240,430,440]])
  rois = rois.cuda()
  inrois = Variable(rois)
  
  psroi_pooling = RoIPool(7,7,1/16)
  print psroi_pooling
  raw_input()
  psroi_pooling.forward(indata,inrois)
  