AI-Scientist
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I get the following error python experiment.py --out_dir run_0
$ python experiment.py --out_dir run_0
tokens per iteration will be: 16,384
C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\amp\autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn(
found vocab_size = 65 (inside ../../data\shakespeare_char\meta.pkl)
Initializing a new model from scratch
number of parameters: 10.65M
Traceback (most recent call last):
File "C:\Users\callor\Documents\workspace\Callor-sakana.ai-2024\AI-Scientist\templates\nanoGPT\experiment.py", line 697, in <module>
final_info, train_info, val_info = train(dataset, out_dir, seed_offset)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\callor\Documents\workspace\Callor-sakana.ai-2024\AI-Scientist\templates\nanoGPT\experiment.py", line 459, in train
model.to(device)
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\nn\modules\module.py", line 1173, in to
return self._apply(convert)
^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\nn\modules\module.py", line 779, in _apply
module._apply(fn)
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\nn\modules\module.py", line 779, in _apply
module._apply(fn)
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\nn\modules\module.py", line 804, in _apply
param_applied = fn(param)
^^^^^^^^^
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\nn\modules\module.py", line 1159, in convert
return t.to(
^^^^^
File "C:\ProgramData\anaconda3\envs\ai_scientist\Lib\site-packages\torch\cuda\__init__.py", line 284, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
(ai_scientist)
You may need to have a computer card that supports a more advanced version of cuda and a corresponding cuda environment.
you must have nvidia gpu and you must try to install pytorch with cuda enabled , see installation instructions in official web site