Skip to content

vllm.plugins.lora_resolvers.filesystem_resolver

FilesystemResolver

Bases: LoRAResolver

Source code in vllm/plugins/lora_resolvers/filesystem_resolver.py 
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
class FilesystemResolver(LoRAResolver):
    def __init__(self, lora_cache_dir: str):
        self.lora_cache_dir = lora_cache_dir

    async def resolve_lora(
        self, base_model_name: str, lora_name: str
    ) -> Optional[LoRARequest]:
        lora_path = os.path.join(self.lora_cache_dir, lora_name)
        if os.path.exists(lora_path):
            adapter_config_path = os.path.join(
                self.lora_cache_dir, lora_name, "adapter_config.json"
            )
            if os.path.exists(adapter_config_path):
                with open(adapter_config_path) as file:
                    adapter_config = json.load(file)
                if (
                    adapter_config["peft_type"] == "LORA"
                    and adapter_config["base_model_name_or_path"] == base_model_name
                ):
                    lora_request = LoRARequest(
                        lora_name=lora_name,
                        lora_int_id=abs(hash(lora_name)),
                        lora_path=lora_path,
                    )
                    return lora_request
        return None

lora_cache_dir instance-attribute 

lora_cache_dir = lora_cache_dir

__init__ 

__init__(lora_cache_dir: str)
Source code in vllm/plugins/lora_resolvers/filesystem_resolver.py 
13
14
def __init__(self, lora_cache_dir: str):
    self.lora_cache_dir = lora_cache_dir

resolve_lora async 

resolve_lora(
    base_model_name: str, lora_name: str
) -> Optional[LoRARequest]
Source code in vllm/plugins/lora_resolvers/filesystem_resolver.py 
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
async def resolve_lora(
    self, base_model_name: str, lora_name: str
) -> Optional[LoRARequest]:
    lora_path = os.path.join(self.lora_cache_dir, lora_name)
    if os.path.exists(lora_path):
        adapter_config_path = os.path.join(
            self.lora_cache_dir, lora_name, "adapter_config.json"
        )
        if os.path.exists(adapter_config_path):
            with open(adapter_config_path) as file:
                adapter_config = json.load(file)
            if (
                adapter_config["peft_type"] == "LORA"
                and adapter_config["base_model_name_or_path"] == base_model_name
            ):
                lora_request = LoRARequest(
                    lora_name=lora_name,
                    lora_int_id=abs(hash(lora_name)),
                    lora_path=lora_path,
                )
                return lora_request
    return None

register_filesystem_resolver 

register_filesystem_resolver()

Register the filesystem LoRA Resolver with vLLM

Source code in vllm/plugins/lora_resolvers/filesystem_resolver.py 
40
41
42
43
44
45
46
47
48
49
50
51
52
53
def register_filesystem_resolver():
    """Register the filesystem LoRA Resolver with vLLM"""

    lora_cache_dir = envs.VLLM_LORA_RESOLVER_CACHE_DIR
    if lora_cache_dir:
        if not os.path.exists(lora_cache_dir) or not os.path.isdir(lora_cache_dir):
            raise ValueError(
                "VLLM_LORA_RESOLVER_CACHE_DIR must be set to a valid directory \
                for Filesystem Resolver plugin to function"
            )
        fs_resolver = FilesystemResolver(lora_cache_dir)
        LoRAResolverRegistry.register_resolver("Filesystem Resolver", fs_resolver)

    return