Sigmoid#
Sigmoid - 13#
Version#
name: Sigmoid (GitHub)
domain:
main
since_version:
13
function:
False
support_level:
SupportType.COMMON
shape inference:
True
This version of the operator has been available since version 13.
Summary#
Sigmoid takes one input data (Tensor
Inputs#
X (heterogeneous) - T:
Input tensor
Outputs#
Y (heterogeneous) - T:
Output tensor
Type Constraints#
T in (
tensor(bfloat16)
,tensor(double)
,tensor(float)
,tensor(float16)
):Constrain input and output types to float tensors.
Sigmoid - 6#
Version#
name: Sigmoid (GitHub)
domain:
main
since_version:
6
function:
False
support_level:
SupportType.COMMON
shape inference:
True
This version of the operator has been available since version 6.
Summary#
Sigmoid takes one input data (Tensor
Inputs#
X (heterogeneous) - T:
Input tensor
Outputs#
Y (heterogeneous) - T:
Output tensor
Type Constraints#
T in (
tensor(double)
,tensor(float)
,tensor(float16)
):Constrain input and output types to float tensors.
Sigmoid - 1#
Version#
name: Sigmoid (GitHub)
domain:
main
since_version:
1
function:
False
support_level:
SupportType.COMMON
shape inference:
False
This version of the operator has been available since version 1.
Summary#
Sigmoid takes one input data (Tensor
Attributes#
consumed_inputs - INTS :
legacy optimization attribute.
Inputs#
X (heterogeneous) - T:
Input tensor
Outputs#
Y (heterogeneous) - T:
Output tensor
Type Constraints#
T in (
tensor(double)
,tensor(float)
,tensor(float16)
):Constrain input and output types to float tensors.