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for x in tqdm(sampler.sample_batch_progressive(batch_size=1, model_kwargs=dict(images=[img]))):
samples = x
Here is the error
File ~/Downloads/point-e-main/point_e/diffusion/gaussian_diffusion.py:1016, in _extract_into_tensor(arr, timesteps, broadcast_shape)
1006 def _extract_into_tensor(arr, timesteps, broadcast_shape):
1007 """
1008 Extract values from a 1-D numpy array for a batch of indices.
1009
(...)
1014 :return: a tensor of shape [batch_size, 1, ...] where the shape has K dims.
1015 """
-> 1016 res = th.from_numpy(arr).to(device=timesteps.device)[timesteps].float()
1017 while len(res.shape) < len(broadcast_shape):
1018 res = res[..., None]
TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn't support float64. Please use float32 instead.
The text was updated successfully, but these errors were encountered:
When trying to get this working using the GPU on M1 with
Both of these return
True
This also works
All steps pass until this part
Here is the error
The text was updated successfully, but these errors were encountered: