Abs#
Domain:
ai.onnxSince version: 13
Absolute takes one input data (Tensor ) and produces one output data (Tensor ) where absolute value, y = abs(x), is applied to the tensor elementwise.
Inputs
X (T): Input tensor
Outputs
Y (T): Output tensor
Type Constraints
T: Constrain input and output types to all numeric tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).
Examples#
test_cc_abs
Inputs:
x: shape=(2, 3), dtype=float32
[[-1. , 0. , 1.5 ],
[-2.25, 3.5 , -4.75]]
Outputs:
y: shape=(2, 3), dtype=float32
[[1. , 0. , 1.5 ],
[2.25, 3.5 , 4.75]]
Differences with previous version (6)#
SchemaDiff: Abs (domain 'ai.onnx')
old version: 6
new version: 13
breaking: no
Type constraints:
changed ‘T’: added types: [‘tensor(bfloat16)’]