from discoart import create
da = create(clip_models=["ViT-B-32::laion2b_e16"])
2022-07-21 16:42:34,092 - discoart - ERROR - Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
Traceback (most recent call last):
File "/usr/local/lib/python3.9/dist-packages/discoart/create.py", line 197, in create
do_run(
File "/usr/local/lib/python3.9/dist-packages/discoart/runner.py", line 94, in do_run
txt = clip_model.encode_text(clip.tokenize(txt))
File "/usr/local/lib/python3.9/dist-packages/open_clip/model.py", line 438, in encode_text
x = self.token_embedding(text) # [batch_size, n_ctx, d_model]
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/sparse.py", line 158, in forward
return F.embedding(
File "/usr/local/lib/python3.9/dist-packages/torch/nn/functional.py", line 2199, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
!nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.91.03 Driver Version: 460.91.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 RTX A4000 Off | 00000000:00:05.0 Off | Off |
| 41% 48C P8 17W / 140W | 3801MiB / 16117MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
hanxiao
commented
2 years ago
!nvidia-smi