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fix: support MPS device for EdgeTAM #2269

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fix: support MPS device for EdgeTAM #2269

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15 changes: 11 additions & 4 deletions dimos/models/segmentation/edge_tam.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,7 @@ class EdgeTAMProcessor(Detector):
_frame_count: int
_is_tracking: bool
_buffer_size: int
_device: str

def __init__(
self,
Expand All @@ -62,8 +63,14 @@ def __init__(
if not local_config_path.exists():
raise FileNotFoundError(f"EdgeTAM config not found at {local_config_path}")

if not torch.cuda.is_available():
raise RuntimeError("EdgeTAM requires a CUDA-capable GPU")
if torch.cuda.is_available():
self._device = "cuda"
elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
self._device = "mps"
else:
raise RuntimeError(
"EdgeTAM requires a CUDA-capable GPU or an Apple Silicon MPS/Metal backend."
)

cfg = OmegaConf.load(local_config_path)

Expand Down Expand Up @@ -98,7 +105,7 @@ def __init__(
if unexpected_keys:
raise RuntimeError("Unexpected keys in checkpoint")

self._predictor = self._predictor.to("cuda")
self._predictor = self._predictor.to(self._device)
self._predictor.eval()

self._inference_state = None
Expand All @@ -124,7 +131,7 @@ def _prepare_frame(self, image: Image) -> torch.Tensor:
img_np /= img_std

img_tensor = torch.from_numpy(img_np).permute(2, 0, 1).float()
img_tensor = img_tensor.cuda()
img_tensor = img_tensor.to(self._device)

return img_tensor

Expand Down