a.py

import torch
from torch import nn
torch.manual_seed(1234)

model1 = nn.Sequential(*[nn.Linear(1, 1) for _ in range(2)])
layer = nn.Linear(1, 1)
model2 = nn.Sequential(*[layer for _ in range(2)])

print("Model1 (two different linear layers):")
assert not torch.equal(model1[0].weight, model1[1].weight)
for k, v in model1.state_dict().items():
    print(k, v)

print("Model2 (two equivalent linear layers):")
assert torch.equal(model2[0].weight, model2[1].weight)
for k, v in model2.state_dict().items():
    print(k, v)