Files
dylanyunlon ef6abf3dc7 [DEPLOY] Complete submission: baseline + all optimizations
Adds ALL files needed for Dockerfile build:
  - qwen3_6_scripts/ (baseline patches + our optimizations)
  - vllm/ (full vllm package)
  - paged_attention_v2_pytorch.py (V2 with single-bmm optimization)
  - Dockerfile + computility-run.yaml

Our optimizations vs baseline:
  1. paged_attn.py: pre-gathered context KV (eliminates 194 gather calls),
     Triton try/fallback, V2 heuristic, threshold 32K→64K
  2. paged_attention_v2_pytorch.py: fills NotImplementedError,
     single-bmm Phase 1 (195 launches → 3)
  3. patch_enable_triton.py: HAS_TRITON=True with safety fallback
  4. patch_triton_tuning.py: BLOCK=64, NUM_WARPS=4 for BI-V100
  5. computility-run.yaml: gpu-memory-utilization 0.9→0.95,
     max-num-batched-tokens 8192→16384

This repo can now be submitted to dev.modelhub.org.cn as-is.
2026-07-30 16:06:20 +00:00

40 lines
1.4 KiB
Python

from dataclasses import dataclass
from typing import Dict, List, Optional, TypedDict, Union
from pydantic import BaseModel
# These classes are deprecated, see SamplingParams
class LLMGuidedOptions(TypedDict, total=False):
guided_json: Union[Dict, BaseModel, str]
guided_regex: str
guided_choice: List[str]
guided_grammar: str
guided_decoding_backend: str
guided_whitespace_pattern: str
guided_json_object: bool
@dataclass
class GuidedDecodingRequest:
"""One of the fields will be used to retrieve the logit processor."""
guided_json: Optional[Union[Dict, BaseModel, str]] = None
guided_regex: Optional[str] = None
guided_choice: Optional[List[str]] = None
guided_grammar: Optional[str] = None
guided_decoding_backend: Optional[str] = None
guided_whitespace_pattern: Optional[str] = None
guided_json_object: Optional[bool] = None
def __post_init__(self):
"""Validate that some fields are mutually exclusive."""
guide_count = sum([
self.guided_json is not None, self.guided_regex is not None,
self.guided_choice is not None, self.guided_grammar is not None,
self.guided_json_object is not None
])
if guide_count > 1:
raise ValueError(
"You can only use one kind of guided decoding but multiple are "
f"specified: {self.__dict__}")