Note
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Layer Legend#
Add a legend below a LeNet-style diagram with legend=True. The legend uses
stacked-plane swatches that match the colors and visual style of the layers.

import matplotlib.pyplot as plt
import visualtorch
from torch import nn
model = nn.Sequential(
nn.Conv2d(3, 8, kernel_size=3, padding=1),
nn.ReLU(),
nn.MaxPool2d(2, 2),
nn.Conv2d(8, 16, kernel_size=3, padding=1),
nn.ReLU(),
)
input_shape = (1, 3, 32, 32)
img = visualtorch.render(
model,
input_shape=input_shape,
style="lenet",
legend=True,
)
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()