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| ``mx.nd.smooth.l1`` |
| ====================================== |
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| Description |
| ---------------------- |
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| Calculate Smooth L1 Loss(lhs, scalar) by summing. |
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| .. math:: |
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| f(x) = |
| \begin{cases} |
| (\sigma x)^2/2,& \text{if }x < 1/\sigma^2\\ |
| |x|-0.5/\sigma^2,& \text{otherwise} |
| \end{cases} |
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| where :math:`x` is an element of the tensor *lhs* and :math:`\sigma` is the scalar. |
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| **Example**:: |
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| smooth_l1([1, 2, 3, 4]) = [0.5, 1.5, 2.5, 3.5] |
| smooth_l1([1, 2, 3, 4], scalar=1) = [0.5, 1.5, 2.5, 3.5] |
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| Arguments |
| ------------------ |
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| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol | |
| | | source input | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``scalar`` | float. | |
| | | | |
| | | scalar input | |
| +----------------------------------------+------------------------------------------------------------+ |
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| Value |
| ---------- |
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| ``out`` The result mx.ndarray |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_binary_scalar_op_extended.cc#L108 |
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