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

cheapest_action

cheapest_action()

max.experimental.sharding.cheapest_action(actions, in_layouts, mesh)

source

Returns the action whose summed input-side reshard cost is lowest.

Parameters:

• actions (Sequence[Action])
• in_layouts (Sequence[TensorLayout])
• mesh (DeviceMesh)

Return type:

Action

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