Mod#

  • Domain: ai.onnx

  • Since version: 13

Performs an element-wise binary modulo operation.

Inputs

  • A (T): Dividend tensor

  • B (T): Divisor tensor

Outputs

  • C (T): Remainder tensor

Type Constraints

  • T: Constrain input and output types to high-precision 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 (10)#

SchemaDiff: Mod (domain 'ai.onnx')

  • old version: 10

  • new version: 13

  • breaking: no

Type constraints:

  • changed ‘T’: added types: [‘tensor(bfloat16)’]

Documentation:

  • line similarity: 0.00 (+1/-1 lines)

--- Mod v10
+++ Mod v13
@@ -1 +1 @@
-Performs element-wise binary modulus.
+Performs an element-wise binary modulo operation.

Version History#