- FeatureVectorizer#

FeatureVectorizer - 1 (


  • name: FeatureVectorizer (GitHub)

  • domain:

  • 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


Concatenates input tensors into one continuous output.

All input shapes are 2-D and are concatenated along the second dimention. 1-D tensors are treated as [1,C]. Inputs are copied to the output maintaining the order of the input arguments.

All inputs must be integers or floats, while the output will be all floating point values.


  • inputdimensions: The size of each input in the input list


Between 1 and 2147483647 inputs.

  • X (variadic, heterogeneous) - T1: An ordered collection of tensors, all with the same element type.


  • Y (heterogeneous) - tensor(float): The output array, elements ordered as the inputs.

Type Constraints

  • T1 in ( tensor(double), tensor(float), tensor(int32), tensor(int64) ): The input type must be a tensor of a numeric type.