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nki(l2_norm): NKI (Trainium) implementation - #284

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@bowencui123 bowencui123 commented Aug 29, 2026

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NKI (AWS Trainium) implementation of l2_norm, split out of the consolidated NKI branch cecilia/feature/nki-vector-add (nki-all-operators, #259) so each operator can be reviewed independently. Supersedes #223 (older per-operator branch: legacy neuronxcc.nki imports; this is the migrated import nki version).

Files: A benchmarks/operators/l2_norm/impl_nki.py

Status: imports and exposes run()/get_last_config() on trn2 (nki 0.6.0); not individually re-benchmarked in this split

Implementation by @Cecilia123li. Timing/identity infrastructure: #261; Trainium peak/roofline infra: #262.

🤖 Generated with Claude Code

https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL

Autotune (62fb305)

NKI tunables Triton counterpart note
free_cap (one-pass vs streaming switch), block_size (streamed column tile) BLOCK_SIZE/BLOCK_N

autotune=False keeps the previous constants (default numbers unchanged). Validation on trn2, case 0 (default run + autotune code path with the candidate timer stubbed — no sweep; --autotune runs a real sweep):

# initial run
[l2_norm] default : verify=OK (1s) 
[l2_norm] autotune: verify=OK (0s) last_config={'free_cap': 8192, 'block_size': 2048} trace_records=1 
STUB_EXIT=0
Params      |    Dtype |  Torch(ms) |      NKI(ms) |  Speedup(N)
n=1048576   | fp16     |     0.0372 |       0.0720 |        0.52

Split out of the consolidated NKI branch cecilia/feature/nki-vector-add
(nki-all-operators, PR #259) so each operator can be reviewed on its own.
Supersedes PR #223 (older per-operator branch).

Co-Authored-By: Cecilia123li <68335867+Cecilia123li@users.noreply.github.com>
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL
bowencui123 and others added 5 commits August 29, 2026 08:37
Tunables mirror the Triton search space (`BLOCK_SIZE`/`BLOCK_N`); defaults are the previous constants,
so autotune=False is unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012Q38kGmXvyoeM1qtCbheSL
Merges NKI backend timing into results/csv/l2_norm_default.csv, run
against this branch's impl_nki.py on trn2.3xlarge with the LNC2
execution contract (NEURON_LOGICAL_NC_CONFIG=2, NEURON_RT_NUM_CORES=1,
NEURON_CC_FLAGS="--target trn2 --lnc 2").

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AQseF7nyesBh8KZAp8g7Cm
Merges NKI backend timing into results/csv/l2_norm_autotune.csv, run with
--autotune against this branch's impl_nki.py on trn2.3xlarge, LNC2
execution contract. All cases pass correctness verification.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AQseF7nyesBh8KZAp8g7Cm
# Conflicts:
#	results/csv/l2_norm_autotune.csv
#	results/csv/l2_norm_default.csv
…n the two passes (one HBM read), flat access patterns (no host reshape), exact GpSimd rsqrt; rerun benchmarks

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01ScXYNjrrKGgDUVNHxv7HJt
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