class_docstr: base class of quantized Transposed Conv inherited from _ConvTransposeNd
  
  Comments of original arguments can be found in torch.nn.modules.conv
  
  Arguments:
      quant_desc_input: An instance of :class:`QuantDescriptor <lightseq.training.pytorch_quantization.tensor_quant.QuantDescriptor>`.
          Quantization descriptor of input.
      quant_desc_weight: An instance of :class:`QuantDescriptor <lightseq.training.pytorch_quantization.tensor_quant.QuantDescriptor>`.
          Quantization descriptor of weight.
  
  Raises:
      ValueError: If unsupported arguments are passed in.
  
  Readonly properties:
      - input_quantizer:
      - weight_quantizer:
  
  Static methods:
      - set_default_quant_desc_input: Set default_quant_desc_input
      - set_default_quant_desc_weight: Set default_quant_desc_weight
docstr: Apply quantization on input and weight
  
  Function called by the classes lower in the hierarchy, which actually performs the quantization before forward
  in the derivate class the particular Function.
  
  Arguments:
      input: in_features to quantize
  Returns:
      A tuple: (quant_in_feature, quant_weight)
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code: def _quant(self, input):
      """Apply quantization on input and weight
  
      Function called by the classes lower in the hierarchy, which actually performs the quantization before forward
      in the derivate class the particular Function.
  
      Arguments:
          input: in_features to quantize
      Returns:
          A tuple: (quant_in_feature, quant_weight)
      """
      quant_input = self._input_quantizer(input)
      quant_weight = self._weight_quantizer(self.weight)
  
      return (quant_input, quant_weight)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _single, _pair, _triple
  from torch.nn.modules.conv import _ConvTransposeNd
  from lightseq.training.pytorch_quantization import tensor_quant
  from .None import _utils
label_desc: Use image node_id 2 for calling the _QuantConvTransposeNd obj's underlying member method code with example usage: obj._quant(input) and returns: quant_input,  quant_weight