TorchVista

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

class CompressionTest9(nn.Module):
    """
    4 linear layers with non-matching dimensions using ModuleList - no compression should be detected.
    Each layer has different input/output dimensions, so they cannot be grouped.
    """
    def __init__(self):
        super().__init__()
        self.layers = nn.ModuleList([
            nn.Linear(64, 128),
            nn.Linear(128, 256),
            nn.Linear(256, 512),
            nn.Linear(512, 10),
        ])

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

model = CompressionTest9()
example_input = torch.randn(2, 64)

trace_model(model, example_input, show_compressed_view=True)