Files
project_6/muh/schema/reduce.yaml
dylanyunlon 9b21a13119 [MUH] Bootstrap muh toolchain — extract/parse/gen_yaml/gen_patch + baseline.muh
Pipeline:
  1. extract.py: Parses all 26 CCCL tuning_*.cuh → 26 YAML schemas in muh/schema/
  2. parse.py: .muh file parser with extends-inheritance + schema validation
  3. gen_yaml.py: .muh → computility-run.yaml (verified: matches competition reference)
  4. gen_patch.py: .muh → vllm kernel unified diff patches (6 algorithm mappings)
  5. baseline.muh: Competition reference config, all tuning values pending BI-V100 benchmarks

Schemas extracted:
  26 algorithms, 8-19 params each, SM75/80/90/100 reference tunings
  Priority mapping: reduce→attention, topk→sampling, scan→paged_attention,
  transform→activations, batch_memcpy→KV_cache, for→RoPE

Tested: extract→parse→validate→gen_yaml→gen_patch full pipeline passes
2026-07-30 10:39:06 +00:00

103 lines
1.7 KiB
YAML

# muh schema for reduce
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_reduce.cuh
# Generated by muh/extract.py
algorithm: reduce
source: cub/cub/device/dispatch/tuning/tuning_reduce.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
vec_size:
type: int
range:
- 1
- 8
step: 1
reduce_algorithm:
type: enum
values:
- BLOCK_REDUCE_RAKING
- BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY
- BLOCK_REDUCE_WARP_REDUCTIONS
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
items:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
threads:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
items_per_vec_load:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
offset_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
accum_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
reference_tunings:
sm100:
-
items: 15
threads: 512
items_per_vec_load: 2
-
items: 15
threads: 512
items_per_vec_load: 1
-
items: 16
threads: 512
items_per_vec_load: 2
-
items: 16
threads: 640
items_per_vec_load: 1
-
threads_per_block: 256
items_per_thread: 16
items_per_vec_load: 4
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD