But here is the funny thing:
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- cudatoolkit=11.1.1
- pytorch=1.8.0
Installs GPU
Hurray conda.
Notice it does include cudatoolkit , but conda ignores it
cudatoolkit~=11.1.1
Can you test the same one only serach and replace ~= with == ?
Also tried conda version 4.7.12. Same problem.
name: core
channels:
- pytorch
- anaconda
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1
- _openmp_mutex=4.5
- 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
- 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
- pip=21.0.1
- 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
- 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
- pip:
- aiostream==0.4.2
- attrs==20.3.0
- clearml==0.17.4
- dm-control==0.0.355168290
- dm-env==1.4
- furl==2.1.0
- future==0.18.2
- glfw==2.1.0
- gym==0.18.0
- humanfriendly==9.1
- imageio-ffmpeg==0.4.3
- jsonschema==3.2.0
- labmaze==1.0.3
- lxml==4.6.2
- moviepy==1.0.3
- orderedmultidict==1.0.1
- pathlib2==2.3.5
- pillow==7.2.0
- proglog==0.1.9
- psutil==5.8.0
- pybullet==3.0.9
- pygame==2.0.1
- pyglet==1.5.0
- pyjwt==2.0.1
- pyrsistent==0.17.3
- requests-file==1.5.1
- tensorboard==2.4.1
- tensorboardx==2.1
By host you mean the machine on which the agent is running? How does clearml-agent find the cuda_version?
This my environment installed from env file. Training works just fine here:
And how is
Summary - installed python packages:
conda:
....
generated?
Okay. And
110
means 11.1 and not 11.0? (edited)
110 means 11.0, the odd thing is, it actually installed 11.1, and from the pytorch website this is exactly how they suggest to install with conda...
Let me know if forcing the CUDA version changes anything
But I do not have anything linked correctly since I rely in conda installing cuda/cudnn for me
From the log it installed:cudatoolkit==11.1.1
based on the CUDA it found on the host machine: agent.cuda_version = 110
But for some reason it installed the pytorch from the conda "pytorch" repo without the cuda support.
Uninstall the current clearml-agent and reinstall this wheel, I hacked it to have ==, let's see if that works
Perfect! I have to thank you for helping me, not the other way around!
Where again does clearml place the venv?
Usually ~/.clearml/venvs-builds/<python version>/
Multiple agents will be venvs-builds.1 and so on
Do you know how I can make sure I do not have CUDA or a broken installation installed?
I don't think this is the case, it is quite specifically installing the CPU version.
BTW: after the agent fails it will not remove the venv, so you can get into it and check, from the log it will be in: /home/tim/.clearml/venvs-builds/3.7
I can install pytorch just fine locally on the agent, when I do not use clearml(-agent)
My thinking is the issue might be on the env file we are passing to conda, I can't find any other diff.
BTW:
@<1523701868901961728:profile|ReassuredTiger98> Can I send a specific wheel with mode debug prints for you to check (basically it will print the conda env YAML it is using)?
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.
@<1523701868901961728:profile|ReassuredTiger98> it works on my machine 😞
Tried to install cudatoolkit==11.1 manually in this environemnt and got:
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Package xz conflicts for:
python=3.8 -> xz[version='>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']
Package libstdcxx-ng conflicts for:
python=3.8 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
cudatoolkit=11.1 -> libstdcxx-ng[version='>=9.3.0']
Package libgcc-ng conflicts for:
cudatoolkit=11.1 -> libgcc-ng[version='>=9.3.0']
python=3.8 -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
Package __glibc conflicts for:
cudatoolkit=11.1 -> __glibc[version='>=2.17,<3.0.a0']
Package libffi conflicts for:
python=3.8 -> libffi[version='>=3.2.1,<3.3.0a0|>=3.2.1,<3.3a0|>=3.3,<3.4.0a0']
Package ncurses conflicts for:
python=3.8 -> ncurses[version='>=6.1,<6.3.0a0|>=6.1,<7.0a0|>=6.2,<6.3.0a0|>=6.2,<7.0a0']
Package zlib conflicts for:
python=3.8 -> zlib[version='>=1.2.11,<1.3.0a0']
Package python_abi conflicts for:
python=3.8 -> python_abi[version='*|3.8.*',build=*_cp38]
Package sqlite conflicts for:
python=3.8 -> sqlite[version='>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.34.0,<4.0a0']
Package bzip2 conflicts for:
python=3.8 -> bzip2[version='>=1.0.8,<2.0a0']
Package readline conflicts for:
python=3.8 -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0']
Package openssl conflicts for:
python=3.8 -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']
Package tk conflicts for:
python=3.8 -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.9,<8.7.0a0']
Package pip conflicts for:
python=3.8 -> pip
Package ld_impl_linux-64 conflicts for:
python=3.8 -> ld_impl_linux-64[version='>=2.34']The following specifications were found to be incompatible with your CUDA driver:
- cudatoolkit=11.1 -> __cuda[version='>=11.1']
Your installed CUDA driver is: 11.2
I just started a task from this environment and it fails on the agent.
send me the conda freeze:
# Name Version Build Channel
...
I just wanna add: I can run this task on the same workstation with the same conda installation just fine.
The problem is that clearml installs
cudatoolkit=11.0
but
cudatoolkit=11.1
is needed.
You suggested this fix earlier, but I am not sure why it didnt work then.
Hmm , could you test with the clearml-agent 0.17.2 ? making surethis actually solves the problem
So I just updated the env that clearml-agent created (and where pytorch cpu is installed) with my local environment.yml and now the correct version is installed, so most probably the `/tmp/conda_envaz1ne897.yml`` is the problem here