class_docstr: This is a module version of F.interpolate.
  
  Any arguments you give it just get passed along for the ride.
docstr: Forward features from the upstream network.
docstr_tok: ["Forward","features","from","the","upstream","network","."]
code: def forward(self, x):
      """Forward features from the upstream network."""
      return F.interpolate(x, *self.args, **self.kwargs)
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from mmcv.cnn import ConvModule, xavier_init
  from mmcv.runner import force_fp32
  from mmdet.core import build_sampler, fast_nms, images_to_levels, multi_apply
  from ..builder import HEADS, build_loss
  from .anchor_head import AnchorHead
label_desc: Use image node_id 2 for calling the InterpolateModule obj's underlying member method code with example usage: obj.forward(x) and returns: F