ai.onnx.ml - Binarizer#
Binarizer - 1 (ai.onnx.ml)#
Version
name: Binarizer (GitHub)
domain: ai.onnx.ml
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: False
This version of the operator has been available since version 1 of domain ai.onnx.ml.
Summary
Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.
Attributes
threshold: Values greater than this are mapped to 1, others to 0. Default value is
0.0.
Inputs
X (heterogeneous) - T: Data to be binarized
Outputs
Y (heterogeneous) - T: Binarized output data
Type Constraints
T in ( tensor(double), tensor(float), tensor(int32), tensor(int64) ): The input must be a tensor of a numeric type. The output will be of the same tensor type.
Examples