class_docstr: Applies Quantized Instance Normalization over a 3D input
class_docstr_tok: ["Applies","Quantized","Instance","Normalization","over","a","3D","input"]
code: def forward(self, input):
      quant_input = self._input_quantizer(input)
      return super(QuantInstanceNorm1d, self).forward(quant_input)
  
imports: from torch.nn.modules.batchnorm import _NormBase
  import torch.nn.functional
  from torch.nn.modules import instancenorm
  from csrc.pytorch.pytorch_quantization.nn import TensorQuantizer
  from csrc.pytorch.pytorch_quantization import tensor_quant
  from .None import _utils
label_desc: Use image node_id 2 for calling the QuantInstanceNorm1d obj's underlying member method code with example usage: obj.forward(input) and returns: super