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feat(reranker): detect Intel XPU for local cross-encoder acceleration #2328

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feat(reranker): detect Intel XPU for local cross-encoder acceleration #2328

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9 changes: 6 additions & 3 deletions hindsight-api-slim/hindsight_api/engine/cross_encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -212,18 +212,21 @@ async def initialize(self) -> None:
device = "cpu"
logger.info("Reranker: forcing CPU mode (HINDSIGHT_API_RERANKER_LOCAL_FORCE_CPU=1)")
else:
# Check for GPU (CUDA) or Apple Silicon (MPS)
# Check for GPU (CUDA), Apple Silicon (MPS), or Intel XPU
# Wrap in try-except to gracefully handle any device detection issues
# (e.g., in CI environments or when PyTorch is built without GPU support)
device = "cpu" # Default to CPU
try:
has_gpu = torch.cuda.is_available() or (
hasattr(torch.backends, "mps") and torch.backends.mps.is_available()
)
# Intel Arc XPU support — torch.xpu is available when the XPU build is loaded
if not has_gpu and hasattr(torch, "xpu"):
has_gpu = torch.xpu.is_available()
if has_gpu:
device = None # Let sentence-transformers auto-detect GPU/MPS
device = None # Let sentence-transformers auto-detect GPU/MPS/XPU
except Exception as e:
logger.warning(f"Failed to detect GPU/MPS, falling back to CPU: {e}")
logger.warning(f"Failed to detect GPU/MPS/XPU, falling back to CPU: {e}")

# Patch transformers 5.x compatibility for models using XLM-RoBERTa
# (e.g., jina-reranker-v2-base-multilingual). transformers 5.x removed
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