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Answered
Hello! Since Today I Get

Hello!
Since today I get AssertionError: Torch not compiled with CUDA enabled for PyTorch 1.8.
Tasks that I submitted yesterday to the queue are also not working, even though they ran yesterday. PyTorch 1.7 based tasks work fine. Any idea what I could have done wrong?

  
  
Posted 4 years ago
Votes Newest

Answers 161


It's always preferred to use conda_freeze: false
That said, if you do use conda_freeze: true it should also freeze the cudatoolkit, so it should have worked.
BTW when you say it worked, is it 0.17.2 version or the hacked RC I sent ?

  
  
Posted 4 years ago

Is ther a way to see the contents of /tmp/conda_envaz1ne897.yml ? Seems to be deleted after the task is finihsed

  
  
Posted 4 years ago

Perfect! 🙂

  
  
Posted 4 years ago

Type "help", "copyright", "credits" or "license" for more information.
>>> from clearml_agent.helper.gpu.gpustat import get_driver_cuda_version
>>> get_driver_cuda_version()
'110'
  
  
Posted 4 years ago

Give me a minute

  
  
Posted 4 years ago

My driver says "CUDA Version: 11.2" (I am not even sure this is correct, since I do not remember installing code in this machine, but idk) and there is no pytorch for 11.2, so maybe it fallbacks to cpu?

  
  
Posted 4 years ago

Okay this is very close to what the agent is building:
Could you start a new conda env,
then install cudatoolkit=11.1
then run:

conda env update -p <conda_env_path_here> --file the_env_yaml.yml
  
  
Posted 4 years ago

Could you send the full log please ?

  
  
Posted 4 years ago

I tried to run the task with detect_with_conda_freeze: false instead of true and got

Executing Conda: /home/tim/miniconda3/condabin/conda install -p /home/tim/.clearml/venvs-builds/3.8 -c defaults -c conda-forge -c pytorch 'pip<20.2' --quiet --json
Pass
Conda: Trying to install requirements:
['pytorch~=1.8.0']
Executing Conda: /home/tim/miniconda3/condabin/conda env update -p /home/tim/.clearml/venvs-builds/3.8 --file /tmp/conda_envh7rq4qmc.yml --quiet --json
Conda error: UnsatisfiableError: The following specifications were found to be incompatible with a past
explicit spec that is not an explicit spec in this operation (cudatoolkit):

  - pytorch~=1.8.0 -> cudatoolkit[version='>=10.1,<10.2|>=10.2,<10.3']

The following specifications were found to be incompatible with each other:



Package cudatoolkit conflicts for:
cudatoolkit=11.0
Conda: Installing requirements: step 2 - using pip:
['clearml==0.17.4', 'tensorboard==2.4.1', 'pytorch~=1.8.0']
Collecting tensorboard==2.4.1
  Using cached tensorboard-2.4.1-py3-none-any.whl (10.6 MB)
ERROR: Could not find a version that satisfies the requirement pytorch~=1.8.0 (from -r /tmp/cached-reqsubuv0zrf.txt (line 3)) (from versions: 0.1.2, 1.0.2)
ERROR: No matching distribution found for pytorch~=1.8.0 (from -r /tmp/cached-reqsubuv0zrf.txt (line 3))
Command 'source /home/tim/miniconda3/etc/profile.d/conda.sh && conda activate /home/tim/.clearml/venvs-builds/3.8 && pip install -r /tmp/cached-reqsubuv0zrf.txt' returned non-zero exit status 1.
  
  
Posted 4 years ago

Yes, that is what I pasted here.

  
  
Posted 4 years ago

Sure, I ll try this

  
  
Posted 4 years ago

send me the conda freeze:

# Name                    Version                   Build  Channel
...
  
  
Posted 4 years ago

WTF?!

  
  
Posted 4 years ago

fyi: NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2

  
  
Posted 4 years ago

ok, thanks!

  
  
Posted 4 years ago

Thu Mar 11 17:52:45 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.56       Driver Version: 460.56       CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce RTX 3090    Off  | 00000000:01:00.0 Off |                  N/A |
| 61%   63C    P2   296W / 350W |   8318MiB / 24268MiB |     74%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  GeForce RTX 3090    Off  | 00000000:21:00.0 Off |                  N/A |
| 30%   29C    P8    20W / 350W |      1MiB / 24268MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A    133165    C+G   ...s-builds.1/3.7/bin/python     8314MiB |
+-----------------------------------------------------------------------------+
  
  
Posted 4 years ago

I just tried to envrionment setup steps that clearml-agent is doing locally, but with my environment.yml instead of the one that clearml generates.

  
  
Posted 4 years ago

@<1523701868901961728:profile|ReassuredTiger98> if you use the latest RC! i sent and run with --debug in the log you will see the full /tmp/conda_envaz1ne897.yml content
Here it is copied from your log, do you want to see if this one works:

channels:
- defaults
- conda-forge
- pytorch
dependencies:
- blas~=1.0
- bzip2~=1.0.8
- ca-certificates~=2020.10.14
- certifi~=2020.6.20
- cloudpickle~=1.6.0
- cudatoolkit~=11.1.1
- cycler~=0.10.0
- cytoolz~=0.11.0
- dask-core~=2021.2.0
- decorator~=4.4.2
- ffmpeg~=4.3
- freetype~=2.10.4
- gmp~=6.2.1
- gnutls~=3.6.13
- imageio~=2.9.0
- jpeg~=9b.0
- kiwisolver~=1.3.1
- lame~=3.100
- lcms2~=2.11
- ld_impl_linux-64~=2.33.1
- libedit~=3.1.20191231
- libffi~=3.3
- libgcc-ng~=9.3.0
- libgfortran-ng~=7.3.0
- libiconv~=1.16
- libpng~=1.6.37
- libstdcxx-ng~=9.3.0
- libtiff~=4.1.0
- libuv~=1.41.0
- llvm-openmp~=11.0.1
- lz4-c~=1.9.3
- matplotlib-base~=3.3.4
- mkl~=2020.4
- mkl-service~=2.3.0
- mkl_fft~=1.3.0
- mkl_random~=1.2.0
- ncurses~=6.2
- nettle~=3.6
- networkx~=2.5
- ninja~=1.10.2
- numpy~=1.19.2
- numpy-base~=1.19.2
- olefile~=0.46
- openh264~=2.1.1
- openssl~=1.1.1j
- pyparsing~=2.4.7
- python~=3.7.10
- python-dateutil~=2.8.1
- python_abi~=3.7
- pytorch~=1.8.0
- pywavelets~=1.1.1
- pyyaml~=5.3.1
- readline~=8.1
- scikit-image~=0.17.2
- scipy~=1.6.1
- setuptools~=52.0.0
- six~=1.15.0
- sqlite~=3.33.0
- tifffile~=2020.10.1
- tk~=8.6.10
- toolz~=0.11.1
- torchaudio~=0.8.0
- torchvision~=0.9.0
- tornado~=6.1
- typing_extensions~=3.7.4.3
- wheel~=0.36.2
- xz~=5.2.5
- yaml~=0.2.5
- zlib~=1.2.11
- zstd~=1.4.9
  
  
Posted 4 years ago

And the one with the CPU version? is it with "~=" or "="?

  
  
Posted 4 years ago

Okay this seems correct:

pytorch=1.8.0=py3.7_cuda11.1_cudnn8.0.5_0

I can't seem to find what's the diff between the two.
Give me a second let me check if I can reproduce it somehow.

  
  
Posted 4 years ago

The task already contains this

  
  
Posted 4 years ago

sure

  
  
Posted 4 years ago

@<1523701868901961728:profile|ReassuredTiger98> it works on my machine 😞

  
  
Posted 4 years ago

end file?

  
  
Posted 4 years ago

Yep, this install PyTorch CPU

  
  
Posted 4 years ago

Would it help you diagnose this problem if I ran conda env create --file=environment.yml and see whether it works?

  
  
Posted 4 years ago

Do you know how I can get this version?

  
  
Posted 4 years ago

And this works fine.

  
  
Posted 4 years ago

Upgrade back?

  
  
Posted 4 years ago

For now I can tell you that with conda_freeze: true it fails, but with conda_freeze: false it works!

  
  
Posted 4 years ago
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