def sigmoid(x):
"""Sigmoid function.
Parameters
----------
inputs : Tensor
The input tensor.
Returns
-------
Tensor
The output tensor.
"""
return ops.Sigmoid(x)
def sigmoid(x, name=None):
"""
Computes sigmoid of `x` element-wise.
Specifically, `y = 1 / (1 + exp(-x))`.
Args:
x: A Tensor.
name: A name for the operation (optional).
Returns:
A Tensor with the same type.
"""
return ops.Sigmoid(x, name=name)
def sigmoid(x, name=None):
return ops.Sigmoid(x, name=name)
def Setup(self, bottom):
super(SigmoidLayer, self).Setup(bottom)
input = bottom[0] if isinstance(bottom, list) else bottom
return ops.Sigmoid(input, **self._param)
def sigmoid(x, **kwargs):
return ops.Sigmoid(x, **kwargs)
def LayerSetup(self, bottom):
return _ops.Sigmoid(bottom, **self.arguments)
