TorchVista

import torch
import torch.nn as nn
from torchvista import trace_model

class CompressionTest3(nn.Module):
    def __init__(self):
        super().__init__()
        self.layers = nn.ModuleList([
            nn.Sequential(
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
            ),
            nn.Sequential(
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
            ),
            nn.Sequential(
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
            ),
            nn.Sequential(
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
                nn.Linear(64, 64),
            ),
        ])

    def forward(self, x):
        for seq in self.layers:
            x = seq(x)
        return x

model = CompressionTest3()
example_input = torch.randn(2, 64)

trace_model(model, example_input, show_compressed_view=True)