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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hey, I noticed that when training with multiple batches I got crashes due to running out of vram.
Here is an example patch which will offload batches to cpu and copy them to gpu when required [Cpu_of…
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Not sure if Mac/CPU support is a priority, but it would be nice to be able to run the example training using CPU on my Mac. Might be worth noting in the README that linux use is only currently support…
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During the training step, the code block:
for blk in self.v.blocks:
x = blk(x)
causes an increase in CPU memory, eventually leading to full CPU memory. Do you know any solutions to this issue…
gudrb updated
9 months ago
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When training in index on a system with 250+ CPUs a segmentation fault is generated during partition assignment. The backtrace of the offending thread was incredibly deep (5000+ calls) and full of ra…
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I want to run this script, but my computer does not have a GPU. I tried to use the CPU to train, but it failed. How can it be compatible with the CPU?
I got error:
outputs, wav = data_parallel(mod…
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Hi,
I'm trying to pre-training the dataset, but it seems that GPU is needed in the pretrain.py script. I'm not sure how to modify the script so that it can just use CPU to conduct the analysis. Co…
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### Search before asking
- [X] I have searched the HUB [issues](https://github.com/ultralytics/hub/issues) and found no similar bug report.
### HUB Component
Training
### Bug
### Describe …
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### System Info
```Shell
'Accelerate version: 0.31.0
Platform: Linux-5.4.0-1131-aws-fips-x86_64-with-glibc2.35
'accelerate bash location: /databricks/python3/bin/accelerate
Python version: 3…
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Hi, Wenlong. Thanks for sharing your code.
When I reproduced your code, I found that only one CPU was used for training. The training speed was a bit slow. Can your code train with multiple CPUs in…