Files
project_6/vllm/block.py
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

89 lines
2.5 KiB
Python

"""Token blocks."""
from typing import TYPE_CHECKING, Iterator, List, Optional
from vllm.utils import Device
DEFAULT_LAST_ACCESSED_TIME: float = -1
class PhysicalTokenBlock:
"""Represents the state of a block in the KV cache."""
def __init__(
self,
device: Device,
block_number: int,
block_size: int,
block_hash: int,
num_hashed_tokens: int,
) -> None:
self.device = device
self.block_number = block_number
self.block_size = block_size
self.block_hash = block_hash
self.num_hashed_tokens = num_hashed_tokens
self.ref_count = 0
self.last_accessed = DEFAULT_LAST_ACCESSED_TIME
self.computed = False
def __repr__(self) -> str:
return (f'PhysicalTokenBlock(device={self.device}, '
f'block_number={self.block_number}, '
f'num_hashed_tokens={self.num_hashed_tokens}, '
f'ref_count={self.ref_count}, '
f'last_accessed={self.last_accessed}, '
f'computed={self.computed})')
class BlockTable:
"""Holds a list of blocks with caching of their associated block_ids
"""
def __init__(self, blocks: Optional[List[PhysicalTokenBlock]] = None):
self._blocks: List[PhysicalTokenBlock] = []
self._block_ids: List[int] = []
if blocks is not None:
for block in blocks:
self.append(block)
def append(self, block: PhysicalTokenBlock):
self._blocks.append(block)
self._block_ids.append(block.block_number)
def __len__(self) -> int:
return len(self._blocks)
def __getitem__(self, key):
return self._blocks[key]
if TYPE_CHECKING:
def __iter__(self) -> Iterator[PhysicalTokenBlock]:
raise RuntimeError("Method should be automatically generated")
def __setitem__(self, key, value):
if isinstance(key, slice):
blocks = value
self._blocks[key] = blocks
self._block_ids[key] = [b.block_number for b in blocks]
else:
block = value
self._blocks[key] = block
self._block_ids[key] = block.block_number
def reset(self):
self._blocks = []
self._block_ids = []
def copy(self) -> "BlockTable":
return BlockTable(self._blocks)
def list(self) -> List[PhysicalTokenBlock]:
return self._blocks
def ids(self) -> List[int]:
return self._block_ids