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refactor: make IPEX optional and enable native Intel XPU detection for PyTorch 2.9+ #539

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refactor: make IPEX optional and enable native Intel XPU detection for PyTorch 2.9+ #539

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bc6a108
fix(xpu): improve Intel XPU detection
Dailaim Apr 22, 2026
da16e2b
fix(xpu): handle all exceptions when importing intel_extension_for_py…
Dailaim Apr 22, 2026
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23 changes: 11 additions & 12 deletions backend/app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,18 +163,17 @@ def _get_gpu_status() -> str:
elif backend_type == "mlx":
return "Metal (Apple Silicon via MLX)"

# Intel XPU (Arc / Data Center) via IPEX
try:
import intel_extension_for_pytorch # noqa: F401

if hasattr(torch, "xpu") and torch.xpu.is_available():
try:
xpu_name = torch.xpu.get_device_name(0)
except Exception:
xpu_name = "Intel GPU"
return f"XPU ({xpu_name})"
except ImportError:
pass
# Intel XPU (Arc / Data Center) — native PyTorch 2.4+ support; IPEX optional
if hasattr(torch, "xpu") and torch.xpu.is_available():
try:
import intel_extension_for_pytorch # noqa: F401 -- enhances XPU perf if available
except Exception:
pass
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try:
xpu_name = torch.xpu.get_device_name(0)
except Exception:
xpu_name = "Intel GPU"
return f"XPU ({xpu_name})"

return "None (CPU only)"

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13 changes: 6 additions & 7 deletions backend/backends/base.py
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Expand Up @@ -102,13 +102,12 @@ def get_torch_device(
return "cuda"

if allow_xpu:
try:
import intel_extension_for_pytorch # noqa: F401

if hasattr(torch, "xpu") and torch.xpu.is_available():
return "xpu"
except ImportError:
pass
if hasattr(torch, "xpu") and torch.xpu.is_available():
try:
import intel_extension_for_pytorch # noqa: F401 -- enhances XPU perf if available
except Exception:
pass
return "xpu"
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if allow_directml:
try:
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22 changes: 11 additions & 11 deletions backend/routes/health.py
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Expand Up @@ -67,17 +67,17 @@ async def health():

has_xpu = False
xpu_name = None
try:
import intel_extension_for_pytorch as ipex # noqa: F401 -- side-effect import enables XPU

if hasattr(torch, "xpu") and torch.xpu.is_available():
has_xpu = True
try:
xpu_name = torch.xpu.get_device_name(0)
except Exception:
xpu_name = "Intel GPU"
except ImportError:
pass
# Native XPU support in PyTorch 2.4+; IPEX optional for enhanced performance
if hasattr(torch, "xpu") and torch.xpu.is_available():
has_xpu = True
try:
import intel_extension_for_pytorch # noqa: F401 -- enhances XPU perf if available
except Exception:
pass
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coderabbitai[bot] marked this conversation as resolved.
try:
xpu_name = torch.xpu.get_device_name(0)
except Exception:
xpu_name = "Intel GPU"

has_directml = False
directml_name = None
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