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