Equal - version 11#

This page documents version 11 of operator Equal. See Equal for the latest version (since version 19).

  • Domain: ai.onnx

  • Since version: 11

Returns the tensor resulted from performing the Equal logical operation elementwise on the input tensors A and B (with Numpy-style broadcasting support).

Inputs

  • A (T): First input operand for the logical operator.

  • B (T): Second input operand for the logical operator.

Outputs

  • C (T1): Result tensor.

Type Constraints

  • T: Constrain input types to all numeric tensors. Allowed types: tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

  • T1: Constrain output to boolean tensor. Allowed types: tensor(bool).

Differences with previous version (7)#

SchemaDiff: Equal (domain 'ai.onnx')

  • old version: 7

  • new version: 11

  • breaking: no

Type constraints:

  • changed ‘T’: added types: [‘tensor(double)’, ‘tensor(float)’, ‘tensor(float16)’, ‘tensor(int16)’, ‘tensor(int8)’, ‘tensor(uint16)’, ‘tensor(uint32)’, ‘tensor(uint64)’, ‘tensor(uint8)’]