Class Torch_Model

tests/core_tests.py:722–741

# PyTorch model for test cases --> Do not change the layers
class Torch_Model(nn.Module):
    def __init__(self,):
        super(Torch_Model, self).__init__()
        self.convs = nn.Sequential(
            nn.Conv2d(1, 32, 3),
            nn.ReLU(),
            nn.Conv2d(32, 64, 3),
            nn.ReLU(),
            nn.MaxPool2d(2),
            nn.Dropout(0.25)
        )
        self.fcs = nn.Sequential(
            nn.Linear(12*12*64, 128),
            nn.ReLU(),
            nn.Dropout(0.5),
            nn.Linear(128, 10),
        )

    def forward(self, x):
        return x


class TestDropout(unittest.TestCase):