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Granite guardian minor changes #1605

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merged 5 commits into from
Feb 18, 2025
Merged

Granite guardian minor changes #1605

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ff51bfb
Granite guardian: move tokenizer init to prepare()
martinscooper Feb 12, 2025
f56cf4d
Add Custom risk entry to RISK_TYPE_TO_CLASS
martinscooper Feb 12, 2025
2e60e26
Merge branch 'main' into granite-guardian-minor-changes
martinscooper Feb 13, 2025
4437b21
Merge branch 'main' into granite-guardian-minor-changes
elronbandel Feb 17, 2025
13be176
Merge branch 'main' into granite-guardian-minor-changes
elronbandel Feb 18, 2025
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9 changes: 5 additions & 4 deletions src/unitxt/metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5921,8 +5921,11 @@ class GraniteGuardianBase(InstanceMetric):
_requirements_list: List[str] = ["torch", "transformers"]

def prepare(self):
from transformers import AutoTokenizer
if not isinstance(self.risk_type, RiskType):
self.risk_type = RiskType[self.risk_type]
if not hasattr(self, "_tokenizer") or self._tokenizer is None:
self._tokenizer = AutoTokenizer.from_pretrained(self.hf_model_name)

def verify(self):
super().verify()
Expand Down Expand Up @@ -5957,12 +5960,9 @@ def get_prompt(self, messages):
)

def compute(self, references: List[Any], prediction: Any, task_data: Dict) -> dict:
from transformers import AutoTokenizer

self.verify_granite_guardian_config(task_data)
self.set_main_score()
if not hasattr(self, "_tokenizer") or self._tokenizer is None:
self._tokenizer = AutoTokenizer.from_pretrained(self.hf_model_name)

if self.inference_engine is None:
self.inference_engine = WMLInferenceEngineGeneration(
model_name=self.wml_model_name,
Expand Down Expand Up @@ -6178,6 +6178,7 @@ def process_input_fields(self, task_data):
RiskType.ASSISTANT_MESSAGE: GraniteGuardianAssistantRisk,
RiskType.RAG: GraniteGuardianRagRisk,
RiskType.AGENTIC: GraniteGuardianAgenticRisk,
RiskType.CUSTOM_RISK: GraniteGuardianCustomRisk,
}

class ExecutionAccuracy(InstanceMetric):
Expand Down