LeNet Style Basic Sequential

Visualization of basic custom model. No color_map is passed here, so each layer type is assigned a color automatically from a colorblind-safe default palette (see the Custom Color example to override this).

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, 8, kernel_size=3, padding=1),
    nn.MaxPool2d(2, 2),
    nn.Conv2d(8, 16, kernel_size=3, padding=1),
    nn.MaxPool2d(2, 2),
)

input_shape = (1, 3, 128, 128)

img = visualtorch.render(
    model,
    input_shape=input_shape,
    style="lenet",
)

dpi = 150  # rendered at 2x this in the final doc build (savefig.dpi=300 in conf.py)
plt.figure(figsize=(img.width / dpi, img.height / dpi), dpi=dpi)
plt.imshow(img)
plt.axis("off")
plt.tight_layout()
plt.show()