class_docstr: DefaultNet variant that uses qiskit to add a final quantum layer
class_docstr_tok: ["DefaultNet","variant","that","uses","qiskit","to","add","a","final","quantum","layer"]
code: def forward(self, input):
      with LightwoodAutocast():
          if len(input.shape) == 1:
              input = input.unsqueeze(0)
          classical_output = self.fc(self.net(input))
          full_output = torch.stack(
              [self.hybrid(i) for i in classical_output]
          )
      return full_output.float()
  
imports: import torch
  import qiskit
  import numpy
  from lightwood.mixer.helpers.default_net import DefaultNet
  from lightwood.helpers.torch import LightwoodAutocast
label_desc: Use image node_id 3 for calling the QClassicNet obj's underlying member method code with example usage: obj.forward(input) and returns: full_output