Not running on GPU even though bitsandbytes returns no errors #2770

UnconnectedBedna · 2024-09-02T11:39:35Z

UnconnectedBedna
Sep 2, 2024

I am using arch so getting older versions of cuda natively on my machine is more or less out of the question. But I got it "working" by following this tread (link to comments with solution): #2651 (comment)

I set up a pyenv for 3.10.10.
I installed nvidia-cusparse-cu11 nvidia-cublas-cu11 nvidia-cuda_runtime-cu11 using pip and add them to $LD_LIBRARY_PATH

$ echo $LD_LIBRARY_PATH
./venv/lib/python3.10/site-packages/nvidia/cusparse/lib:./venv/lib/python3.10/site-packages/nvidia/cublas/lib:./venv/lib/python3.10/site-packages/nvidia/cuda_runtime/lib

And confirming with python -m bitsanbytes tells me it is working:

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++ BUG REPORT INFORMATION ++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

++++++++++++++++++ /usr/local CUDA PATHS +++++++++++++++++++
[]

+++++++++++++++ WORKING DIRECTORY CUDA PATHS +++++++++++++++
[]

 LD_LIBRARY_PATH ./venv/lib/python3.10/site-packages/nvidia/cublas/lib CUDA PATHS 
[]

 LD_LIBRARY_PATH ./venv/lib/python3.10/site-packages/nvidia/cuda_runtime/lib CUDA PATHS 
[]

 LD_LIBRARY_PATH ./venv/lib/python3.10/site-packages/nvidia/cusparse/lib CUDA PATHS 
[]

++++++++++++++++++++++++++ OTHER +++++++++++++++++++++++++++
COMPILED_WITH_CUDA = True
COMPUTE_CAPABILITIES_PER_GPU = ['8.6']
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++++++ DEBUG INFO END ++++++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Checking that the library is importable and CUDA is callable...

WARNING: Please be sure to sanitize sensitive info from any such env vars!

SUCCESS!
Installation was successful!

But when I start the webui I get this:

13:20:25-624467 INFO     Kohya_ss GUI version: v24.1.6                                                                                                                                                              
13:20:25-652263 INFO     Submodule initialized and updated.                                                                                                                                                         
13:20:25-652943 INFO     nVidia toolkit detected                                                                                                                                                                    
13:20:26-627626 INFO     Torch 2.1.2+cu118                                                                                                                                                                          
13:20:26-736198 INFO     Torch backend: nVidia CUDA 11.8 cuDNN 8700                                                                                                                                                 
13:20:26-754830 INFO     Torch detected GPU: NVIDIA GeForce RTX 3090 VRAM 24154 Arch (8, 6) Cores 82                                                                                                                
13:20:26-757361 INFO     Python version is 3.10.10 (main, Sep  2 2024, 09:34:27) [GCC 14.2.1 20240805]                                                                                                              
13:20:26-757999 INFO     Verifying modules installation status from /home/bedna/temp/kohya_ss/requirements_linux.txt...                                                                                             
13:20:26-759756 INFO     Verifying modules installation status from requirements.txt...                                                                                                                             
2024-09-02 13:20:28.563527: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2024-09-02 13:20:28.644298: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-09-02 13:20:28.644328: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-09-02 13:20:28.650105: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-09-02 13:20:28.662827: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2024-09-02 13:20:28.663002: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-09-02 13:20:29.241099: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
13:20:31-215581 INFO     headless: False                                                                                                                                                                            
13:20:31-246272 INFO     Using shell=True when running external commands...                                                                                                                                         
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.

I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.

The webui works fine, but when starting to train, it ofc only runs on CPU.

I see others asking for help regarding similar problems (for example: link1 & link2), but I figured I ask again and provide info that bitsandbytes returns it should work.

Any ideas how to fix this would be highly appreciated.

b-fission · 2024-09-02T21:17:51Z

b-fission
Sep 2, 2024

You can ignore those warnings about "cuda drivers" from tensorflow... they're not relevant for training.

When you start a training run, can you check the log output? Does it say "accelerator device: cuda" or "accelerator device: cpu"

5 replies

UnconnectedBedna Sep 3, 2024
Author

Not sure what logfile you are talking about, I find nothing of that text in any of the logfiles created when I tried.
But I failed to mention that the accelerate configuration fails when running the setup script and I have to manually run accelerate config, and that gets saved in ~/.cache/huggingface/accelerate/default_config.yaml even though the pyenv is activated and "accelerate" is located in the ./venv/bin directory, if that has anything to do with it. It seems to be looking inside the project directory for the config in the logfile created when I try to train:
(Edit. or now that I think about it and looking at time stamps, that might also be the setup log. There is no default_config.yaml inside the ./setup directory inside the kohya cloned directory. But there is one inside the directory ./config_files/accelerate/. I am so confused)

2024-09-02 14:24:46,847 | sd | INFO | setup_common | Configuring accelerate...
2024-09-02 14:24:46,847 | sd | DEBUG | setup_common | Source accelerate config location: /home/bedna/temp/kohya_ss/setup/../config_files/accelerate/default_config.yaml
2024-09-02 14:24:46,847 | sd | DEBUG | setup_common | Environment variables: HF_HOME: None, LOCALAPPDATA: None, USERPROFILE: None
2024-09-02 14:24:46,847 | sd | DEBUG | setup_common | Target config location: None
2024-09-02 14:24:46,847 | sd | WARNING | setup_common | Could not automatically configure accelerate. Please manually configure accelerate with the option in the menu or with: accelerate config.

Some info on things:

$ pwd
/home/bedna/temp/kohya_ss

$ find . -mount -type f -name accelerate
./venv/bin/accelerate

$ echo $PATH
/home/bedna/temp/kohya_ss/venv/bin:/home/bedna/.pyenv/shims:/home/bedna/bin:/usr/local/sbin:/usr/local/bin:/usr/bin:/var/lib/flatpak/exports/bin:/usr/bin/site_perl:/usr/bin/vendor_perl:/usr/bin/core_perl

$ which python
/home/bedna/temp/kohya_ss/venv/bin/python

$ pyenv version
3.10.10 (set by /home/bedna/temp/kohya_ss/.python-version)

And looking through log files searching for "accelerate" I for example find this in the setup.log:

2024-09-02 14:40:30,579 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.mixed_precision' not found in configuration. Returning default value.
2024-09-02 14:40:30,579 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,579 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.num_processes' not found in configuration. Returning default value.
2024-09-02 14:40:30,579 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,579 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.num_machines' not found in configuration. Returning default value.
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.num_cpu_threads_per_process' not found in configuration. Returning default value.
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.dynamo_backend' not found in configuration. Returning default value.
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.dynamo_mode' not found in configuration. Returning default value.
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.dynamo_use_fullgraph' not found in configuration. Returning default value.
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,580 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.dynamo_use_dynamic' not found in configuration. Returning default value.
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.multi_gpu' not found in configuration. Returning default value.
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.gpu_ids' not found in configuration. Returning default value.
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.main_process_port' not found in configuration. Returning default value.
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | accelerate_launch
2024-09-02 14:40:30,581 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | Key 'accelerate_launch.extra_accelerate_launch_args' not found in configuration. Returning default value.
2024-09-02 14:40:30,582 | DEBUG | /home/bedna/temp/kohya_ss/kohya_gui/class_gui_config.py | model

If you direct me to exactly what logfile you want me to look in, let me know and I will provide the data.

b-fission Sep 3, 2024

The terminal output would be the "log" I'm referring to. When you start a training run, there should be one line that says accelerator device.

Here's an example of my terminal. Does yours say cuda or cpu?

UnconnectedBedna Sep 8, 2024
Author

Thank you for responding.

So, I finally got time to play around with this again.
It states cuda is being used.

INFO     make buckets                                                                                                                                                          train_util.py:917  
                   INFO     number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む）                                                                                       train_util.py:963  
                   INFO     bucket 0: resolution (704, 1440), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 1: resolution (768, 1312), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 2: resolution (768, 1344), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 3: resolution (864, 1184), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 4: resolution (928, 1120), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 5: resolution (960, 1088), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 6: resolution (1152, 896), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 7: resolution (1216, 832), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 8: resolution (1344, 768), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 9: resolution (1408, 736), count: 5                                                                                                                            train_util.py:968  
                   INFO     bucket 10: resolution (1440, 704), count: 5                                                                                                                           train_util.py:968  
                   INFO     mean ar error (without repeats): 0.020331470942247753                                                                                                                 train_util.py:973  
                   WARNING  clip_skip will be unexpected / SDXL学習ではclip_skipは動作しません                                                                                               sdxl_train_util.py:352  
                   INFO     preparing accelerator                                                                                                                                              train_network.py:225  
accelerator device: cuda  
                   INFO     loading model for process 0/1                                                                                                                                     sdxl_train_util.py:33  
                   INFO     load StableDiffusion checkpoint: /home/bedna/temp/kohya_ss/models/juggernautXL_v8Rundiffusion.safetensors                                                         sdxl_train_util.py:74  
                   INFO     building U-Net                                                                                                                                                   sdxl_model_util.py:198  
                   INFO     loading U-Net from checkpoint                                                                                                                                    sdxl_model_util.py:202  
2024-09-08 16:24:44 INFO     U-Net: <All keys matched successfully>                                                                                                                           sdxl_model_util.py:208  
                   INFO     building text encoders                                                                                                                                           sdxl_model_util.py:211  
                   INFO     loading text encoders from checkpoint                                                                                                                            sdxl_model_util.py:264  
                   INFO     text encoder 1: <All keys matched successfully>                                                                                                                  sdxl_model_util.py:278  
                   INFO     text encoder 2: <All keys matched successfully>                                                                                                                  sdxl_model_util.py:282  
                   INFO     building VAE                                                                                                                                                     sdxl_model_util.py:285  
                   INFO     loading VAE from checkpoint                                                                                                                                      sdxl_model_util.py:290  
                   INFO     VAE: <All keys matched successfully>                                                                                                                             sdxl_model_util.py:293  
                   INFO     Enable xformers for U-Net                                                                                                                                            train_util.py:3040  
import network module: networks.lora  
                   INFO     [Dataset 0]                                                                                                                                                          train_util.py:2323  
                   INFO     caching latents.                                                                                                                                                     train_util.py:1095  
                   INFO     checking cache validity...                                                                                                                                           train_util.py:1105  
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 11/11 [00:00<00:00, 4036.87it/s]  
                   INFO     caching latents...                                                                                                                                                   train_util.py:1144  
0it [00:00, ?it/s]  
2024-09-08 16:24:45 INFO     create LoRA network. base dim (rank): 100000, alpha: 1                                                                                                                      lora.py:928  
                   INFO     neuron dropout: p=None, rank dropout: p=None, module dropout: p=None                                                                                                        lora.py:929  
                   INFO     create LoRA for Text Encoder 1:

And then it just stays there, with the cpu fan going like crazy.
By checking nvtop I see that the gpu is not utilized, with anything other than what I suspect is the model in memory.
And a short wile later, well, complete freeze and had to REISUB.

And now, when I try after a reboot, I mistakenly forgot to change to lora so dreambooth training spit out this:

16:10:27-411785 INFO     Saving training config to /home/bedna/temp/kohya_ss/outputs/last_20240908-161027.json...                                                                                                   
16:10:27-412494 INFO     Executing command: /home/bedna/temp/kohya_ss/venv/bin/accelerate launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 1 --num_machines 1                
                         --num_cpu_threads_per_process 2 /home/bedna/temp/kohya_ss/sd-scripts/sdxl_train.py --config_file /home/bedna/temp/kohya_ss/outputs/config_dreambooth-20240908-161027.toml                  
                         --lr_scheduler_type CosineAnnealingLR --lr_scheduler_args T_max=1000 eta_min=0e-0                                                                                                          
16:10:27-413926 INFO     Command executed.                                                                                                                                                                          
2024-09-08 16:10:31.164713: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2024-09-08 16:10:31.183193: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-09-08 16:10:31.183216: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-09-08 16:10:31.183832: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-09-08 16:10:31.186953: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2024-09-08 16:10:31.187082: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-09-08 16:10:31.668053: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2024-09-08 16:10:32 INFO     Loading settings from /home/bedna/temp/kohya_ss/outputs/config_dreambooth-20240908-161027.toml...

And then:

2024-09-08 16:10:37 INFO     epoch is incremented. current_epoch: 0, epoch: 1                                                                                                                      train_util.py:703
/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)
  return F.conv2d(input, weight, bias, self.stride,
Traceback (most recent call last):
  File "/home/bedna/temp/kohya_ss/sd-scripts/sdxl_train.py", line 948, in <module>
    train(args)
  File "/home/bedna/temp/kohya_ss/sd-scripts/sdxl_train.py", line 746, in train
    optimizer.step()
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/accelerate/optimizer.py", line 145, in step
    self.optimizer.step(closure)
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 68, in wrapper
    return wrapped(*args, **kwargs)
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/torch/optim/optimizer.py", line 373, in wrapper
    out = func(*args, **kwargs)
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/prodigyopt/prodigy.py", line 179, in step
    d_numerator += (d / d0) * dlr * torch.dot(grad.flatten(), (p0.data - p.data).flatten()).item()
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 58.00 MiB. GPU 0 has a total capacty of 23.59 GiB of which 3.94 MiB is free. Including non-PyTorch memory, this process has 23.57 GiB memory in use. Of the allocated memory 22.30 GiB is allocated by PyTorch, and 946.18 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
steps:   0%|                                                                                                                                                                                | 0/160 [00:01<?, ?it/s]
Traceback (most recent call last):
  File "/home/bedna/temp/kohya_ss/venv/bin/accelerate", line 8, in <module>
    sys.exit(main())
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
    args.func(args)
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/launch.py", line 1017, in launch_command
    simple_launcher(args)
  File "/home/bedna/temp/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/launch.py", line 637, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/home/bedna/temp/kohya_ss/venv/bin/python', '/home/bedna/temp/kohya_ss/sd-scripts/sdxl_train.py', '--config_file', '/home/bedna/temp/kohya_ss/outputs/config_dreambooth-20240908-161027.toml', '--lr_scheduler_type', 'CosineAnnealingLR', '--lr_scheduler_args', 'T_max=1000', 'eta_min=0e-0']' returned non-zero exit status 1.
16:10:40-619490 INFO     Training has ended.

Memory at least is NOT utilized like stated in the log. I can verify that by watching nvtop.
Even though it is for dreambooth training and not lora, I provided the logs, it might be a clue...

I have no clue what is going on here. :(

b-fission Sep 8, 2024

INFO     create LoRA network. base dim (rank): 100000, alpha: 1
INFO     neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
INFO     create LoRA for Text Encoder 1:

That lora rank of 100000 is way too high. Choose something reasonable between 16 to 256.

And now, when I try after a reboot, I mistakenly forgot to change to lora so dreambooth training spit out this:

Dreambooth with SDXL will require "Full fp16 training" and "Gradiented Checkpointing" to avoid out-of-memory errors.

UnconnectedBedna Sep 8, 2024
Author

That lora rank of 100000 is way too high. Choose something reasonable between 16 to 256.

There are probably 100 things wrong with the configs, for example no descriptions on images whatsoever. I pay no attention to that stuff before I get the application to actually run on my GPU.
Same with dreambooth, I just provided that because it might be a clue to what is wrong.

I haven't mentioned this, but I can observe my CPU utilizing cores at 100% if I use htop.

I guess this it not made to work on any other os than the spyware windows11, and maybe corporate versions of linux... :(

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Not running on GPU even though bitsandbytes returns no errors #2770

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Not running on GPU even though bitsandbytes returns no errors #2770

UnconnectedBedna Sep 2, 2024

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