triton-ascend-examples-mindspore

Integrating a Triton kernel with MindSpore on Ascend hardware requires registering a custom operator and defining a Primitive to wire tensor in/out patterns, enabling kernel launch and data flow execution.

Custom operator registration for MindSpore Triton Ascend integration is the process of defining Primitive operators and tensor in/out patterns to wire Triton kernels into MindSpore workflows on Atlas A2/A3 hardware.

Yes, you can use Triton kernels with MindSpore on Atlas A2 or A3 devices by registering custom operators and mapping tensor inputs and outputs to the Triton execution flow.

Defining a Primitive in MindSpore for a custom Triton kernel involves structuring the operator registration and tensor in/out patterns to establish data flow and launch the kernel.

MindSpore supports Triton-based kernel invocation for custom operations by providing example-driven guidance for operator registration, Primitive definitions, and tensor in/out wiring on Ascend hardware.

A reference implementation for MindSpore custom operator integration is used to demonstrate how to structure code, register operators, and wire tensor data flow when connecting Triton kernels to MindSpore.