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Not sure where to start and this may land nowhere: but in the process of discovery here I am. This post gets rather long so GPT4 summarizes it as: `Summary: The issue aims to enhance Easy Diffusion's …
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NOTE: To reiterate- in this context, "single device" means using a single CPU core or single GPU, not a single machine. Similarly, "multi-device" does not refer to multiple machines, but to multiple C…
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Ainda não foi resolvido o problema de drivers para o windows 11?
Log..
[14428/ 1640] 2023-05-16 16:01:32:064 ! ScreenDriverUpdate detected
[14428/15120] 2023-05-16 16:01:32:069 ! first change …
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**Describe the bug**
I have two 8GB AMD Radeon RX 5500 XTs for creating RVC models; it's nearly twice as fast as training on a single card. I greatly appreciate the support for distributed multi-GPU …
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How can we synchronize files that are written during multi-node training?
* At the end of training, each node reads the file in question, turns in to byte tensor
* Synchronize the tensor length, com…
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Hi,
I've got a multi-GPU PP64LE machine that is running version 5.5.2 (4 * K80) and a x86_64 that has two GPUs (2 * 1080 GTX Ti). The persistent storage on the former is GPFS and a dedicated SSD o…
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### Full error:
F0407 22:35:23.664752 27364 syncedmem.hpp:22] Check failed: error == cudaSuccess (77 vs. 0) an illegal memory access was encountered
### Issue summary
This happens when I'm tryin…
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Thanks for the great work and sharing the code!
I trained through a single RTX3090 graphics card, the configuration file is maptr_tiny_r50_24e.py, the results after training are shown in the figure…
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I installed the command in README.md to train this code on multiple devices, but none of them could achieve the results described in the paper.
On a single 3090 GPU, the best results are:
Image to…