| |
| |
| ``mx.nd.log1p`` |
| ============================== |
| |
| Description |
| ---------------------- |
| |
| Returns element-wise ``log(1 + x)`` value of the input. |
| |
| This function is more accurate than ``log(1 + x)`` for small ``x`` so that |
| :math:`1+x\approx 1` |
| |
| The storage type of ``log1p`` output depends upon the input storage type: |
| |
| - log1p(default) = default |
| - log1p(row_sparse) = row_sparse |
| - log1p(csr) = csr |
| |
| |
| |
| |
| |
| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | The input array. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.ndarray |
| |
| |
| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_unary_op_logexp.cc#L206 |
| |
