Ignore Layers

Visualize some layers only

Note

You can also use index_ignore of visualtorch.layered.layered_view() to ignore layers based on the index.

import matplotlib.pyplot as plt
import visualtorch
from torch import nn

# Example of a simple CNN model using nn.Sequential
model = nn.Sequential(
    nn.Conv2d(3, 16, kernel_size=3, padding=1),
    nn.ReLU(),
    nn.MaxPool2d(2, 2),
    nn.Conv2d(16, 32, kernel_size=3, padding=1),
    nn.ReLU(),
    nn.MaxPool2d(2, 2),
    nn.Conv2d(32, 64, kernel_size=3, padding=1),
    nn.ReLU(),
    nn.MaxPool2d(2, 2),
    nn.Flatten(),
    nn.Linear(64 * 28 * 28, 256),  # Adjusted the input size for the Linear layer
    nn.ReLU(),
    nn.Linear(256, 10),  # Assuming 10 output classes
)

ignored_layers = [nn.ReLU, nn.Flatten]

input_shape = (1, 3, 224, 224)
img = visualtorch.layered_view(
    model,
    input_shape=input_shape,
    type_ignore=ignored_layers,
)

plt.axis("off")
plt.tight_layout()
plt.imshow(img)
plt.show()