Initial commit

backends/device.py

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+"""Torch device selection. Wraps cuda / directml / cpu behind one helper."""
+from __future__ import annotations
+
+import json
+from functools import lru_cache
+from pathlib import Path
+
+ROOT = Path(__file__).parent.parent
+HARDWARE_CACHE = ROOT / "config.local.json"
+
+
+@lru_cache(maxsize=1)
+def hardware_info() -> dict:
+    if HARDWARE_CACHE.exists():
+        return json.loads(HARDWARE_CACHE.read_text())
+    from . import hardware
+    info = hardware.detect()
+    return {
+        "vendor": info.vendor,
+        "backend": info.backend,
+        "device_name": info.device_name,
+        "vram_gb": info.vram_gb,
+        "tier": info.tier,
+    }
+
+
+@lru_cache(maxsize=1)
+def get_device():
+    import torch
+    backend = hardware_info()["backend"]
+    if backend == "cuda" and torch.cuda.is_available():
+        return torch.device("cuda")
+    if backend == "directml":
+        try:
+            import torch_directml
+            return torch_directml.device()
+        except ImportError:
+            pass
+    return torch.device("cpu")
+
+
+def torch_dtype():
+    import torch
+    backend = hardware_info()["backend"]
+    if backend == "cpu":
+        return torch.float32
+    return torch.float16