| 48 | test_dataloader = DataLoader(test_data, batch_size=64) |
| 49 | |
| 50 | class NeuralNetwork(nn.Module): |
| 51 | def __init__(self): |
| 52 | super().__init__() |
| 53 | self.flatten = nn.Flatten() |
| 54 | self.linear_relu_stack = nn.Sequential( |
| 55 | nn.Linear(28*28, 512), |
| 56 | nn.ReLU(), |
| 57 | nn.Linear(512, 512), |
| 58 | nn.ReLU(), |
| 59 | nn.Linear(512, 10), |
| 60 | ) |
| 61 | |
| 62 | def forward(self, x): |
| 63 | x = self.flatten(x) |
| 64 | logits = self.linear_relu_stack(x) |
| 65 | return logits |
| 66 | |
| 67 | model = NeuralNetwork() |
| 68 |
no outgoing calls
no test coverage detected