For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Python function

enumerate_feasible_actions

enumerate_feasible_actions()

max.experimental.sharding.enumerate_feasible_actions(menu, mesh)

source

Cartesian product of per-axis admissible rows from menu.

Parameters:

• menu (ActionSet)
• mesh (DeviceMesh)

Return type:

list[Action]

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