feat: run Kronos on CPU to avoid GPU conflict with llama-server

This commit is contained in:
TPTBusiness
2026-05-05 15:29:01 +02:00
parent d51a4edf0b
commit 4e4c782fd5
2 changed files with 5 additions and 9 deletions
+3 -3
View File
@@ -91,7 +91,7 @@ class KronosAdapter:
TOKENIZER_ID = "NeoQuasar/Kronos-Tokenizer-2k"
def __init__(self, device: Optional[str] = None, max_context: int = 512):
self.device = device or ("cuda" if _cuda_available() else "cpu")
self.device = device or "cpu"
self.max_context = max_context
self._predictor = None
@@ -236,7 +236,7 @@ def build_kronos_factor(
Returns:
MultiIndex (datetime, instrument) DataFrame with column "KronosPredReturn".
"""
device = device or ("cuda" if _cuda_available() else "cpu")
device = device or "cpu"
logger.info(f"Loading data from {hdf5_path}...")
raw = pd.read_hdf(hdf5_path, key="data")
@@ -312,7 +312,7 @@ def evaluate_kronos_model(
Returns:
dict with keys: IC_mean, IC_std, IC_IR (IC / std), hit_rate, n_predictions
"""
device = device or ("cuda" if _cuda_available() else "cpu")
device = device or "cpu"
raw = pd.read_hdf(hdf5_path, key="data")
instrument = raw.index.get_level_values("instrument").unique()[0]
df = raw.xs(instrument, level="instrument")