| from flax import nnx # The Flax NNX API. | |
| class LinearClassifier(nnx.Module): | |
| def __init__(self, in_features, out_features, rngs: nnx.Rngs): | |
| self.linear = nnx.Linear(in_features, out_features, rngs=rngs) | |
| def __call__(self, x): | |
| return self.linear(x) | |
| if __name__ == "__main__": | |
| # Instantiate the model. | |
| model = LinearClassifier( | |
| in_features=512, | |
| out_features=8, | |
| rngs=nnx.Rngs(0) | |
| ) | |
| # Visualize it. | |
| nnx.display(model) | |