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feat: add cpu/cuda config for prompt guard #2194

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feat: add cpu/cuda config for prompt guard #2194

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14 changes: 14 additions & 0 deletions llama_stack/providers/inline/safety/prompt_guard/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,8 +15,14 @@ class PromptGuardType(Enum):
jailbreak = "jailbreak"


class PromptGuardExecutionType(Enum):
cpu = "cpu"
cuda = "cuda"


class PromptGuardConfig(BaseModel):
guard_type: str = PromptGuardType.injection.value
guard_execution_type: str = PromptGuardExecutionType.cuda.value

@classmethod
@field_validator("guard_type")
Expand All @@ -25,8 +31,16 @@ def validate_guard_type(cls, v):
raise ValueError(f"Unknown prompt guard type: {v}")
return v

@classmethod
@field_validator("guard_execution_type")
def validate_guard_execution_type(cls, v):
if v not in [t.value for t in PromptGuardExecutionType]:
raise ValueError(f"Unknown prompt guard execution type: {v}")
return v

@classmethod
def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
return {
"guard_type": "injection",
"guard_execution_type": "cuda",
}
2 changes: 1 addition & 1 deletion llama_stack/providers/inline/safety/prompt_guard/prompt_guard.py
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Expand Up @@ -75,7 +75,7 @@ def __init__(
self.temperature = temperature
self.threshold = threshold

self.device = "cuda"
self.device = self.config.guard_execution_type
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can we just check if cuda is available and use that otherwise use CPU? no need for a specific configuration like this to be added.


# load model and tokenizer
self.tokenizer = AutoTokenizer.from_pretrained(model_dir)
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