Max - version 8#

This page documents version 8 of operator Max. See Max for the latest version (since version 13).

  • Domain: ai.onnx

  • Since version: 8

Element-wise max of each of the input tensors (with Numpy-style broadcasting support). All inputs and outputs must have the same data type.

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

Inputs

  • data_0 (T): List of tensors for max.

Outputs

  • max (T): Output tensor.

Type Constraints

  • T: Constrain input and output types to float tensors. Allowed types: tensor(double), tensor(float), tensor(float16).

Differences with previous version (6)#

SchemaDiff: Max (domain 'ai.onnx')

  • old version: 6

  • new version: 8

  • breaking: no

Documentation:

  • line similarity: 0.00 (+4/-2 lines)

--- Max v6
+++ Max v8
@@ -1,2 +1,4 @@
-Element-wise max of each of the input tensors. All inputs and outputs must
-have the same shape and data type.
+Element-wise max of each of the input tensors (with Numpy-style broadcasting support).
+All inputs and outputs must have the same data type.
+
+This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).