CumProd

CumProd - 26

Version

  • name: CumProd (GitHub)

  • domain: main

  • since_version: 26

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 26.

Summary

Performs cumulative product of the input elements along the given axis. By default, it will do the product inclusively meaning the first element is copied as is. Through an exclusive attribute, this behavior can change to exclude the first element. It can also perform product in the opposite direction of the axis. For that, set reverse attribute to 1.

Example:

input_x = [1, 2, 3]
axis=0
output = [1, 2, 6]
exclusive=1
output = [1, 1, 2]
exclusive=0
reverse=1
output = [6, 6, 3]
exclusive=1
reverse=1
output = [6, 3, 1]

Attributes

  • exclusive - INT (default is '0'):

    If set to 1 will return exclusive product in which the top element is not included. In other terms, if set to 1, the j-th output element would be the product of the first (j-1) elements. Otherwise, it would be the product of the first j elements.

  • reverse - INT (default is '0'):

    If set to 1 will perform the products in reverse direction.

Inputs

  • x (heterogeneous) - T:

    An input tensor that is to be processed.

  • axis (heterogeneous) - T2:

    A 0-D tensor. Must be in the range [-rank(x), rank(x)-1]. Negative value means counting dimensions from the back.

Outputs

  • y (heterogeneous) - T:

    Output tensor of the same type as ‘x’ with cumulative products of the x’s elements

Type Constraints

  • T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) ):

    Constrain input and output types to numeric tensors.

  • T2 in ( tensor(int32), tensor(int64) ):

    axis tensor can be int32 or int64 only