error

[LolekLiam]

here is error: C:\Users\Liam\OneDrive - Osnovna šola Dolenjske Toplice\Desktop\deep-daze-0.10.2>imagine "hell" Setting jit to False because torch version is not 1.7.1. c:\python39\lib\site-packages\torch\cuda\amp\grad_scaler.py:115: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.") Starting up... Imagining "hell" from the depths of my weights... epochs: 0%| | 0/20 [00:00<?, ?it/s]c:\python39\lib\site-packages\torch\cuda\amp\autocast_mode.py:120: UserWarning: torch.cuda.amp.autocast only affects CUDA ops, but CUDA is not available. Disabling. warnings.warn("torch.cuda.amp.autocast only affects CUDA ops, but CUDA is not available. Disabling.") iteration: 0%| | 0/1050 [01:34<?, ?it/s] epochs: 0%| | 0/20 [01:35<?, ?it/s] Traceback (most recent call last): File "c:\python39\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "c:\python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Python39\Scripts\imagine.exe__main__.py", line 7, in File "c:\python39\lib\site-packages\deep_daze\cli.py", line 151, in main fire.Fire(train) File "c:\python39\lib\site-packages\fire\core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "c:\python39\lib\site-packages\fire\core.py", line 466, in _Fire component, remaining_args = _CallAndUpdateTrace( File "c:\python39\lib\site-packages\fire\core.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, kwargs) File "c:\python39\lib\site-packages\deep_daze\cli.py", line 147, in train imagine() File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, *kwargs) File "c:\python39\lib\site-packages\deep_daze\deepdaze.py", line 584, in forward , loss = self.train_step(epoch, i) File "c:\python39\lib\site-packages\deep_daze\deep_daze.py", line 505, in train_step out, loss = self.model(self.clip_encoding) File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(input, kwargs) File "c:\python39\lib\site-packages\deep_daze\deep_daze.py", line 200, in forward out = self.model() File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, kwargs) File "c:\python39\lib\site-packages\siren_pytorch\siren_pytorch.py", line 148, in forward out = self.net(coords, mods) File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, *kwargs) File "c:\python39\lib\site-packages\siren_pytorch\siren_pytorch.py", line 83, in forward x = layer(x) File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(input, kwargs) File "c:\python39\lib\site-packages\siren_pytorch\siren_pytorch.py", line 51, in forward out = self.activation(out) File "c:\python39\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, *kwargs) File "c:\python39\lib\site-packages\siren_pytorch\siren_pytorch.py", line 22, in forward return torch.sin(self.w0 x) RuntimeError: [enforce fail at ..\c10\core\CPUAllocator.cpp:79] data. DefaultCPUAllocator: not enough memory: you tried to allocate 268435456 bytes.

[LolekLiam]

what i do?

[geeknik]

The last line of the error explains it perfectly. Your device ran out of memory and you’ll need to tweak the settings to fit your device as the defaults aren’t going to work for you. Good luck! 👍🏻