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update the formula of smooth_l1_loss (#1986)

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jiyzhang 2025-03-21 21:25:23 +08:00 committed by GitHub
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python/mlx/nn/losses.py
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@ -352,7 +352,7 @@ def smooth_l1_loss(
.. math::
l = \begin{cases}
0.5 (x - y)^2, & \text{if } (x - y) < \beta \\
0.5 (x - y)^2 / \beta, & \text{if } |x - y| < \beta \\
|x - y| - 0.5 \beta, & \text{otherwise}
\end{cases}