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``mx.nd.hard.sigmoid``
============================================
Description
----------------------
Computes hard sigmoid of x element-wise.
.. math::
y = max(0, min(1, alpha * x + beta))
Arguments
------------------
+----------------------------------------+------------------------------------------------------------+
| Argument | Description |
+========================================+============================================================+
| ``data`` | NDArray-or-Symbol. |
| | |
| | The input array. |
+----------------------------------------+------------------------------------------------------------+
| ``alpha`` | float, optional, default=0.200000003. |
| | |
| | Slope of hard sigmoid |
+----------------------------------------+------------------------------------------------------------+
| ``beta`` | float, optional, default=0.5. |
| | |
| | Bias of hard sigmoid. |
+----------------------------------------+------------------------------------------------------------+
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_basic.cc#L161