ef6abf3dc7
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.
96 lines
3.0 KiB
Python
96 lines
3.0 KiB
Python
import warnings
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from typing import Optional
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import msgspec
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from vllm.adapter_commons.request import AdapterRequest
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class LoRARequest(
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msgspec.Struct,
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omit_defaults=True, # type: ignore[call-arg]
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array_like=True): # type: ignore[call-arg]
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"""
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Request for a LoRA adapter.
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Note that this class should be used internally. For online
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serving, it is recommended to not allow users to use this class but
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instead provide another layer of abstraction to prevent users from
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accessing unauthorized LoRA adapters.
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lora_int_id must be globally unique for a given adapter.
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This is currently not enforced in vLLM.
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"""
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__metaclass__ = AdapterRequest
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lora_name: str
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lora_int_id: int
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lora_path: str = ""
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lora_local_path: Optional[str] = msgspec.field(default=None)
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long_lora_max_len: Optional[int] = None
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base_model_name: Optional[str] = msgspec.field(default=None)
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def __post_init__(self):
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if 'lora_local_path' in self.__struct_fields__:
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warnings.warn(
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"The 'lora_local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'lora_path' instead.",
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DeprecationWarning,
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stacklevel=2)
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if not self.lora_path:
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self.lora_path = self.lora_local_path or ""
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# Ensure lora_path is not empty
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assert self.lora_path, "lora_path cannot be empty"
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@property
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def adapter_id(self):
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return self.lora_int_id
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@property
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def name(self):
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return self.lora_name
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@property
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def path(self):
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return self.lora_path
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@property
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def local_path(self):
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warnings.warn(
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"The 'local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'path' instead.",
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DeprecationWarning,
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stacklevel=2)
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return self.lora_path
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@local_path.setter
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def local_path(self, value):
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warnings.warn(
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"The 'local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'path' instead.",
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DeprecationWarning,
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stacklevel=2)
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self.lora_path = value
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def __eq__(self, value: object) -> bool:
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"""
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Overrides the equality method to compare LoRARequest
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instances based on lora_name. This allows for identification
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and comparison lora adapter across engines.
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"""
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return isinstance(value,
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self.__class__) and self.lora_name == value.lora_name
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def __hash__(self) -> int:
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"""
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Overrides the hash method to hash LoRARequest instances
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based on lora_name. This ensures that LoRARequest instances
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can be used in hash-based collections such as sets and dictionaries,
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identified by their names across engines.
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"""
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return hash(self.lora_name)
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