yeah i want to save the entire network.
    self.conv1 = nn.Sequential(
        nn.Conv2d(
            in_channels=3,
            out_channels=32,
            kernel_size=5,
            stride=1,
            padding=2,
        ),  # 32, 32, 32
        nn.ReLU(),
        nn.MaxPool2d(2)  
        outshape(32, 16, 16)
    )

    # input shape (32, 16, 16)
    self.conv2 = nn.Sequential(
        nn.Conv2d(
            in_channels=32,
            out_channels=64,
            kernel_size=5,
            stride=1,
            padding=2,
        ),  # output shape (64, 16, 16)
        nn.ReLU(),
        nn.AvgPool2d(2),  # (64, 8, 8)
    )

i konw if i have one Sequential, i can use torch.save(net.conv1).
But if i have two and more Sequentials, how can i save the entire network?