Rmsnorm bwd deterministic fused reduce#109
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Co-authored-by: Vijay Thakkar <vijaythakkar@me.com>
…its shape. update doc strings.
Eliminates the separate .sum(dim=0) kernel for dw_partial reduction by fusing a deterministic last-CTA-reduces pattern into the backward kernel. Each CTA writes its partial to dw_partial[bidx, :] as before, then does a threadfence + atomic increment of a global counter. The last CTA to arrive loads all partials in fixed order 0..sm_count-1 and accumulates into dw_final, ensuring deterministic results across runs. Only enabled for N <= 8192 (cluster_n == 1). For larger N, falls back to the existing host-side .sum(dim=0) reduction. Based on the approach discussed in Dao-AILab#101. Co-authored-by: Aaron Wang <aaronwang04@users.noreply.github.com>
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Eliminates the separate .sum(dim=0) kernel for dw_partial reduction by
fusing a deterministic last-CTA-reduces pattern into the backward kernel.
Each CTA writes its partial to dw_partial[bidx, :] as before, then does
a threadfence + atomic increment of a global counter. The last CTA to
arrive loads all partials in fixed order 0..sm_count-1 and accumulates
into dw_final, ensuring deterministic results across runs.
Only enabled for N <= 8192 (cluster_n == 1). For larger N, falls back
to the existing host-side .sum(dim=0) reduction.
Based on the approach discussed in #101.
Co-authored-by: Aaron Wang aaronwang04@users.noreply.github.com"