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| |
| ``mx.nd.expm1`` |
| ============================== |
| |
| Description |
| ---------------------- |
| |
| Returns ``exp(x) - 1`` computed element-wise on the input. |
| |
| This function provides greater precision than ``exp(x) - 1`` for small values of ``x``. |
| |
| The storage type of ``expm1`` output depends upon the input storage type: |
| |
| - expm1(default) = default |
| - expm1(row_sparse) = row_sparse |
| - expm1(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#L224 |
| |
