Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
Memory error when generating image
See original GitHub issueI encounter this error upon running:
Traceback (most recent call last):
File "c:\users\miner\appdata\local\programs\python\python38\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\miner\appdata\local\programs\python\python38\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\Miner\AppData\Local\Programs\Python\Python38\Scripts\imagine.exe\__main__.py", line 7, in <module>
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\deep_daze\cli.py", line 111, in main
fire.Fire(train)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\fire\core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\fire\core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\fire\core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\deep_daze\cli.py", line 107, in train
imagine()
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\deep_daze\deep_daze.py", line 447, in forward
_, loss = self.train_step(epoch, i)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\deep_daze\deep_daze.py", line 380, in train_step
out, loss = self.model(self.clip_encoding)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\deep_daze\deep_daze.py", line 168, in forward
out = self.model()
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\siren_pytorch\siren_pytorch.py", line 97, in forward
out = self.net(coords)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\siren_pytorch\siren_pytorch.py", line 76, in forward
x = self.net(x)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\container.py", line 119, in forward
input = module(input)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\siren_pytorch\siren_pytorch.py", line 48, in forward
out = self.activation(out)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\miner\appdata\local\programs\python\python38\lib\site-packages\siren_pytorch\siren_pytorch.py", line 19, in forward
return torch.sin(self.w0 * x)
RuntimeError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 6.00 GiB total capacity; 3.85 GiB already allocated; 79.44 MiB free; 3.87 GiB reserved in total by PyTorch)
I attempted clearing cuda cache, but the same error occured.
>>> import torch
>>> torch.cuda.empty_cache()
Issue Analytics
- State:
- Created 3 years ago
- Comments:11
Top Results From Across the Web
"Out of memory"-error when processing a large number of ...
The code looks somewhat like below. As mentioned, the problem only occurs when the number of images in the input directory is too...
Read more >Memory Error during Feature Extraction (for many images or ...
When I tried to extract features on many images in a loop using PyRadiomics I ran into a memory error. I was able...
Read more >Why does Keras ImageDataGenerator throwing Memory Error?
Most likely your computer cannot handle 75k images in memory (due to low RAM especially GPU RAM).
Read more >Memory error when creating image styles - Drupal Answers
It seems you have enough memory for 4Mpx input images. Anything larger can cause this error and it will not be anything surprising....
Read more >Out of memory error Ptgui 9.0.3 - Google Groups
panorama and got an out of memory error while generating the image in the HDR screen. There is 140GB of free space on...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
@afiaka87 Absolutely not, no worries 😆 just making a remark.
I was able to run with
--image-width 256with the 6GiB of VRAM. I haven’t tried other resolutions but this is working. ~2.84 it/s.My bad. I try to make as few assumptions about people on here. Hope it didnt come across as patronizing.