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fixed torch/nn issues when being called from maiko #22

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Merged
akshithambekar merged 1 commit into from
Sep 22, 2025
Merged

fixed torch/nn issues when being called from maiko #22

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252 changes: 0 additions & 252 deletions benchmarks/run.py
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This file was deleted.

2 changes: 1 addition & 1 deletion tueri/output_scanners/factual_consistency.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,8 +49,8 @@ def __init__(
model=model,
use_onnx=use_onnx,
)
self._model = self._model.to(device())
if not use_onnx:
self._model = self._model.to(device())
self._model.eval()

def scan(self, prompt: str, output: str) -> tuple[str, bool, float]:
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6 changes: 6 additions & 0 deletions tueri/transformers_helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,8 +89,11 @@ def get_tokenizer_and_model_for_classification(
model.path,
subfolder=model.subfolder,
revision=model.revision,
torch_dtype="auto",
low_cpu_mem_usage=False,
**model.kwargs,
)
tf_model = tf_model.to(device())
LOGGER.debug("Initialized classification model", model=model, device=device())

return tf_tokenizer, tf_model
Expand Down Expand Up @@ -124,8 +127,11 @@ def get_tokenizer_and_model_for_ner(
model.path,
subfolder=model.subfolder,
revision=model.revision,
torch_dtype="auto",
low_cpu_mem_usage=False,
**model.kwargs,
)
tf_model = tf_model.to(device())
LOGGER.debug("Initialized NER model", model=model, device=device())

return tf_tokenizer, tf_model
Expand Down
4 changes: 2 additions & 2 deletions tueri_api/app/scanner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,15 +30,15 @@

LOGGER = structlog.getLogger(__name__)

MONGO_URI = os.getenv("MONGO_URI", "mongodb://root:example@localhost:27017/")
MONGO_URL = os.getenv("MONGO_URL", "mongodb://root:example@localhost:27017/")
MONGO_DB, MONGO_COLLECTION = os.getenv("MONGO_DB", "ChatApp"), os.getenv("MONGO_COLLECTION", "TueriScanners")

# Suppress MongoDB heartbeat logs
logging.getLogger("pymongo.topology").setLevel(logging.WARNING)
logging.getLogger("pymongo.serverSelection").setLevel(logging.WARNING)

try:
mongo_client = MongoClient(MONGO_URI, serverSelectionTimeoutMS=5000, heartbeatFrequencyMS=60000)
mongo_client = MongoClient(MONGO_URL, serverSelectionTimeoutMS=5000, heartbeatFrequencyMS=60000)
db = mongo_client[MONGO_DB]
scanners_collection = db[MONGO_COLLECTION]
mongo_client.admin.command("ping")
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