Solved by tymokvo in post #4 
              
              
                Yep! I understand. 
If you change your code to be like this: 
import torch
import torch.nn as nn

class Model(nn.Sequential):
  def __init__(self):
    super().__init__()
    [self.add_module("conv_{}".format(n), nn.Conv2d(3, 3, 1, 1, 0)) for n in range(2)]

m = Model()

print(m)
print(m.conv_0)

Yo…