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[issue-22] Work with Mac M1/M2/M3 #152

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[issue-22] Work with Mac M1/M2/M3 #152

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1 change: 1 addition & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
__pycache__/
.DS_Store
*.egg-info/
shap_e_model_cache/
9 changes: 8 additions & 1 deletion shap_e/diffusion/gaussian_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,8 @@
import torch as th
import yaml

is_mps = th.backends.mps.is_available()


def diffusion_from_config(config: Union[str, Dict[str, Any]]) -> "GaussianDiffusion":
if isinstance(config, str):
Expand Down Expand Up @@ -1065,7 +1067,12 @@ def _extract_into_tensor(arr, timesteps, broadcast_shape):
dimension equal to the length of timesteps.
:return: a tensor of shape [batch_size, 1, ...] where the shape has K dims.
"""
res = th.from_numpy(arr).to(device=timesteps.device)[timesteps].float()
res = None
if is_mps:
res = th.from_numpy(arr.astype(np.float32)).to(device=timesteps.device)[timesteps].float()
else:
res = th.from_numpy(arr).to(device=timesteps.device)[timesteps].float()

while len(res.shape) < len(broadcast_shape):
res = res[..., None]
return res + th.zeros(broadcast_shape, device=timesteps.device)
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