code: def symbolic(
      g,
      input,
      rois,
      offset,
      output_size,
      spatial_scale,
      sampling_ratio,
      gamma,
  ):
      return g.op(
          "mmcv::MMCVDeformRoIPool",
          input,
          rois,
          offset,
          pooled_height_i=output_size[0],
          pooled_width_i=output_size[1],
          spatial_scale_f=spatial_scale,
          sampling_ratio_f=sampling_ratio,
          gamma_f=gamma,
      )
  
imports: from torch import 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 1 for calling the DeformRoIPoolFunction obj's underlying member method code with example usage: obj.symbolic(g, input, rois, offset, output_size, spatial_scale, sampling_ratio, gamma) and returns: g