code: def forward(self, x, offset, mask):
      return modulated_deform_conv2d(
          x,
          offset,
          mask,
          self.weight,
          self.bias,
          self.stride,
          self.padding,
          self.dilation,
          self.groups,
          self.deform_groups,
      )
  
imports: import math
  import torch
  import torch.nn
  from torch.autograd import Function
  from torch.autograd.function import once_differentiable
  from torch.nn.modules.utils import _pair, _single
  from annotator.uniformer.mmcv.utils import deprecated_api_warning
  from ..cnn import CONV_LAYERS
  from ..utils import ext_loader, print_log
label_desc: Use image node_id 3 for calling the ModulatedDeformConv2d obj's underlying member method code with example usage: obj.forward(x, offset, mask) and returns: modulated_deform_conv2d