ReduceSumSquare#

ReduceSumSquare - 1#

Version

  • name: ReduceSumSquare (GitHub)

  • domain: main

  • since_version: 1

  • function:

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 1.

Summary

Attributes

  • axes - INTS : A list of integers, along which to reduce. The default is to reduce over all the dimensions of the input tensor.

  • keepdims - INT : Keep the reduced dimension or not, default 1 means keep reduced dimension.

Inputs

  • data (heterogeneous) - T:

Outputs

  • reduced (heterogeneous) - T:

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) ): Constrain input and output types to high-precision numeric tensors.