ai.onnx.ml - ArrayFeatureExtractor#
ArrayFeatureExtractor - 1 (ai.onnx.ml)#
Version
domain: ai.onnx.ml
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 1 of domain ai.onnx.ml.
Summary
Select elements of the input tensor based on the indices passed.
The indices are applied to the last axes of the tensor.
Inputs
X (heterogeneous) - T: Data to be selected
Y (heterogeneous) - tensor(int64): The indices, based on 0 as the first index of any dimension.
Outputs
Z (heterogeneous) - T: Selected output data as an array
Type Constraints
T in ( tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string) ): The input must be a tensor of a numeric type or string. The output will be of the same tensor type.
Examples