Lecture 108 12:07 Why doesn't my output match

[toddsp22]

In Lecture 108 timestamp 12:07

His code is:

torch.manual_seed(42)
model_0 = FashionMNISTModelV0(
input_shape = 784,
hidden_units = 10,
output_shape = len(class_names)
)

model_0.cpu()

His output is:

FashionMNISTModelV0(
(layer_stack): Sequential(
(0): Flatten(start_dim=1, end_dim=-1)
(1): Linear(in_features=784, out_features=10, bias=True)
(2): Linear(in_features=10, out_features=10, bias=True)
)
)

my output is:
<main.FashionMNISTModelV0 at 0x7f77260f70d0>

Why don't they match?

for reference my model is:
class FashionMNISTModelV0:
def init(self,
input_shape: int,
hidden_units: int,
output_shape: int):
super().init()
self.layer_stack = nn.Sequential(
nn.Flatten(),
nn.Linear(in_features=input_shape,
out_features = hidden_units),
nn.Linear(in_features=hidden_units,
out_features=output_shape)
)

def forward(self, x):
return self.layer_stack(x)

[toddsp22]

I didn't inherit from nn.Module