code: def _onnx_crypten_feature_dropout(g, input, p, train):
      """
      This function converts PyTorch's DropoutNd module to a DropoutNd module in the ONNX
      model. It overrides PyTorch's default implementation to ignore the DropoutNd module
      during the conversion. PyTorch assumes that ONNX models are only used for
      inference and therefore DropoutNd modules are not required in the ONNX model.
      However, CrypTen needs to convert ONNX models to trainable
      CrypTen models, and so the DropoutNd module needs to be included in the
      CrypTen-specific conversion.
      """
      r, _ = g.op("DropoutNd", input, ratio_f=p, outputs=2)
      return r
  
imports: import copy
  import io
  import onnx
  import torch
  import torch.onnx.symbolic_helper
  import torch.onnx.utils
  from onnx import numpy_helper
  from torch.onnx import OperatorExportTypes
  from .None import module
label_desc: Use image node_id 16 for calling a global function with example usage: _onnx_crypten_feature_dropout(g, input, p, train) and returns: r