class_docstr: Quantized 3D average pool
class_docstr_tok: ["Quantized","3D","average","pool"]
code: def forward(self, input):
      quant_input = self._input_quantizer(input)
      return super(QuantAvgPool3d, self).forward(quant_input)
  
imports: from torch.nn.modules import pooling
  from .None import _utils
label_desc: Use image node_id 2 for calling the QuantAvgPool3d obj's underlying member method code with example usage: obj.forward(input) and returns: super