Zhangdanyang/final-triton-gfx950-all-v2

GEAK gfx950 Strict SFT Dataset

• Backend: triton
• Architecture: gfx950
• Samples: 357
• Quota trimmed: false
• Deduplication: contract_hash + patch_hash
• Task modes: {"cold_start": 54, "direction_conditioned": 95, "error_recovery": 111, "profile_guided": 44, "regression_balance": 53}
• Split scope: train-only; dev and held-out are deferred and not inferred by ETL.
• Leakage report scope: conflicts among explicit split metadata present in samples.

Kernels by operator

Case kernels are distinct contract/harness entries. Candidate kernels are verified optimized SFT samples.

• knn: 19 case kernels; 35 candidate kernels
• gemm: 4 case kernels; 19 candidate kernels
• batched_gemm: 2 case kernels; 133 candidate kernels
• dynamic_per_tensor_quant: 2 case kernels; 10 candidate kernels
• scaled_quant_gemm: 2 case kernels; 29 candidate kernels
• block_scaled_gemm: 1 case kernels; 2 candidate kernels
• dynamic_per_token_quant: 1 case kernels; 6 candidate kernels
• fused_moe: 1 case kernels; 1 candidate kernels
• fused_silu_mul: 1 case kernels; 27 candidate kernels
• mla_decode: 1 case kernels; 3 candidate kernels
• rms_norm: 1 case kernels; 1 candidate kernels
• softmax: 1 case kernels; 2 candidate kernels
• static_per_tensor_quant: 1 case kernels; 87 candidate kernels
• top_k: 1 case kernels; 2 candidate kernels

Load from a downloaded repository

import json
from pathlib import Path

root = Path('.')
sample = json.loads((root / 'samples.jsonl').open().readline())
parent_code = (root / sample['parent_sources']['kernel.py']['path']).read_text()
candidate_code = (root / sample['candidate_sources']['kernel.py']['path']).read_text()
candidate_workspace = root / sample['artifact_paths']['candidate_workspace']

Each parent and candidate workspace includes config.yaml, metadata.json, and scripts/task_runner.py for local replay. All functional paths are relative to the dataset root.