Implement the LinearClassifier class in models.py$.$ Define the linear model and all layers in the $\_\_$init$\_\_$ function, then implement forward. Your forward function receives a $($B$,3,64,64)$ tensor as an input and should return a $($B$,6)$ torch.Tensor $($one value per class$).$ You can earn these full credits without training the model, just from the correct model definition. B stands for batch size.