I am trying to implement a Dropout layer using pytorch as follows:
class DropoutLayer(nn.Module):
    def __init__(self, p):
        super().__init__()
        self.p = p

    def forward(self, input):
        if self.training:
            u1 = (np.random.rand(*input.shape)<self.p) / self.p
            u1 *= u1
            return u1
        else:
            input *= self.p

And then calling a simple NN.sequential:
model = nn.Sequential(nn.Linear(input_size,num_classes), DropoutLayer(.7), nn.Flatten())

opt = torch.optim.Adam(model.parameters(), lr=0.005)
train(model, opt, 5) #train(model, optimizer, epochs #)

But I’m getting the following error:
TypeError: flatten() takes at most 1 argument (2 given)

Not sure what I’m doing wrong.  Still new to pytorch.  Thanks.