OpticalMoose

Edit: Best viewed with an ad blocker. Sorry, I didn't notice till someone pointed it out to me.

It was a Lemmy instance. I haven't been able to log in for the past couple of months, and now it's down completely.🙁

cross-posted from: https://discuss.tchncs.de/post/5980880

To start off with I had a Ryzen 3400G and an MSI B450 Tomahawk Max that had become unstable and took several tries to boot. I decided to swap in an ASUS Prime B550M-A wifi.

The only issue is I was triple booting Kubuntu, Windows 7, and Windows 10, so this would be interesting.

TL/DR:

Kubuntu booted normally. Like seriously, just a regular boot, no messages or anything.

Windows 7 froze a few seconds into the loading screen. I tried rebooting and using safe mode, but that froze too.

Windows 10 gave a bunch of 'rechecking' and 'fixing file system' messages, and after about 2 reboots with more messages, opened to a workable desktop.

To start off with I had a Ryzen 3400G and an MSI B450 Tomahawk Max that had become unstable and took several tries to boot. I decided to swap in an ASUS Prime B550M-A wifi.

The only issue is I was triple booting Kubuntu, Windows 7, and Windows 10, so this would be interesting.

TL/DR:

Kubuntu booted normally. Like seriously, just a regular boot, no messages or anything.

Windows 7 froze a few seconds into the loading screen. I tried rebooting and using safe mode, but that froze too.

Windows 10 gave a bunch of 'rechecking' and 'fixing file system' messages, and after about 2 reboots with more messages, opened to a workable desktop.

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I followed a tutorial and trained my first LoRA today. I was surprised to see it was using both my GPUs - 1080ti and 3060, but then it failed halfway through. I won't print the whole log, but here are the important parts that caught my attention:

More than one GPU was found, enabling multi-GPU training.

2023-09-17 10:35:32.654285: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT

Blocksparse is not available: the current GPU does not expose Tensor cores

[E ProcessGroupNCCL.cpp:455] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.

[E ProcessGroupNCCL.cpp:460] To avoid data inconsistency, we are taking the entire process down.

So my guess is the tensor errors are because of the GTX card which doesn't have tensor cores. I removed that card and everything ran fine with just the 3060. I imagine either card would work by itself, but the differences between the two may have been enough to cause data corruption.

So I'm wondering if anyone has this working with multiple RTX cards. Can it work across generations - 3060 and 4060ti, etc. Or does it have to be the same generation? Thanks in advance.

As for the LoRA itself, it needs more work (denim boots)

In the grand scheme of things, the customer may have slightly more pull than the cashier ringing up their order, but it's the CEO and the board of directors that control the narrative. That's why we're getting bigger and less fuel efficient vehicles, bigger and more fattening meal portions in restaurants, and bigger less affordable houses.