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 |
---|---|
|
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