Div#

  • Domain: ai.onnx

  • Since version: 14

Performs element-wise binary division (with Numpy-style broadcasting support).

This operator supports multidirectional (i.e., Numpy-style) broadcasting; for more details please check the broadcasting behavior in ONNX.

For integer inputs, the result is computed using truncating division (rounding toward zero).

Inputs

  • A (T): First operand.

  • B (T): Second operand.

Outputs

  • C (T): Result, has same element type as two inputs

Type Constraints

  • T: Constrain input and output types to all numeric tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Differences with previous version (13)#

SchemaDiff: Div (domain 'ai.onnx')

  • old version: 13

  • new version: 14

  • breaking: no

Type constraints:

  • changed ‘T’: added types: [‘tensor(int16)’, ‘tensor(int8)’, ‘tensor(uint16)’, ‘tensor(uint8)’]

Version History#