Abs#
Abs - 13#
Version#
name: Abs (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#
Absolute 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)
,tensor(int16)
,tensor(int32)
,tensor(int64)
,tensor(int8)
,tensor(uint16)
,tensor(uint32)
,tensor(uint64)
,tensor(uint8)
):Constrain input and output types to all numeric tensors.
Abs - 6#
Version#
name: Abs (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#
Absolute 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)
,tensor(int16)
,tensor(int32)
,tensor(int64)
,tensor(int8)
,tensor(uint16)
,tensor(uint32)
,tensor(uint64)
,tensor(uint8)
):Constrain input and output types to all numeric tensors.
Abs - 1#
Version#
name: Abs (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#
Absolute 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.