|
|
|
@ -1761,7 +1761,7 @@ class SmoothL1Loss(PrimitiveWithInfer):
|
|
|
|
|
Sets input prediction as `X`, input target as `Y`, output as `loss`. Then,
|
|
|
|
|
|
|
|
|
|
.. math::
|
|
|
|
|
\text{SmoothL1Loss} = \begin{cases} \frac{0.5 x^{2}}{\text{beta}, &if \left |x \right | < \text{beta} \cr
|
|
|
|
|
\text{SmoothL1Loss} = \begin{cases} \frac{0.5 x^{2}}{\text{beta}}, &if \left |x \right | < \text{beta} \cr
|
|
|
|
|
\left |x \right|-0.5 \text{beta}, &\text{otherwise}\end{cases}
|
|
|
|
|
|
|
|
|
|
Args:
|
|
|
|
|