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Reduction Instructions
======================

CUDA reduction algorithms belong to the caller. Use scalar or packed
arithmetic, warp shuffle instructions, shared storage, and explicit
synchronization as appropriate for the kernel's decomposition.

Trainium exposes the native ``T.trn.tile.tensorreduce`` instruction and the
fused ``tensorscalar_reduce`` and ``activation_reduce`` instructions. Their
axes and opcode are static qualifiers; tensors and optional reduction
workspace are ordinary Call arguments.

See :doc:`../tile_ops` for the complete contract.