btw: why is agent.package_manager and agent attribute. Imo it does not make sense because conda can install pip packages, but pip cannot install conda packages which can lead to install failures, right?

Perfect, will try it. fyi: The conda_channels that I used are from clearml-agent init

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.

I do not have a global cuda install on this machine. Everything except for the driver is installed via conda.

No problem! I profit so much from clearml 🙂

okay, I'll make sure we order it correctly

It asks the driver or find the cuda dll/so

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

Sure, I ll try this

By host you mean the machine on which the agent is running? How does clearml-agent find the cuda_version?

==> 2021-03-11 13:54:59 <==
# cmd: /home/tim/miniconda3/condabin/conda create --yes --mkdir --prefix /home/tim/.clearml/venvs-builds/3.8 python=3.8
# conda version: 4.9.2
+defaults/linux-64::_libgcc_mutex-0.1-main
+defaults/linux-64::ca-certificates-2021.1.19-h06a4308_1
+defaults/linux-64::certifi-2020.12.5-py38h06a4308_0
+defaults/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
+defaults/linux-64::libedit-3.1.20191231-h14c3975_1
+defaults/linux-64::libffi-3.3-he6710b0_2
+defaults/linux-64::libgcc-ng-9.1.0-hdf63c60_0
+defaults/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
+defaults/linux-64::ncurses-6.2-he6710b0_1
+defaults/linux-64::openssl-1.1.1j-h27cfd23_0
+defaults/linux-64::pip-21.0.1-py38h06a4308_0
+defaults/linux-64::python-3.8.8-hdb3f193_4
+defaults/linux-64::readline-8.1-h27cfd23_0
+defaults/linux-64::setuptools-52.0.0-py38h06a4308_0
+defaults/linux-64::sqlite-3.33.0-h62c20be_0
+defaults/linux-64::tk-8.6.10-hbc83047_0
+defaults/linux-64::xz-5.2.5-h7b6447c_0
+defaults/linux-64::zlib-1.2.11-h7b6447c_3
+defaults/noarch::wheel-0.36.2-pyhd3eb1b0_0
# update specs: ['python=3.8']
==> 2021-03-11 13:55:01 <==
# cmd: /home/tim/miniconda3/condabin/conda install -p /home/tim/.clearml/venvs-builds/3.8 -c defaults -c conda-forge -c pytorch cudatoolkit=11.1 --quiet --json
# conda version: 4.9.2
-defaults/linux-64::_libgcc_mutex-0.1-main
-defaults/linux-64::libgcc-ng-9.1.0-hdf63c60_0
-defaults/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
+conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
+conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
+conda-forge/linux-64::cudatoolkit-11.1.1-h6406543_8
+conda-forge/linux-64::libgcc-ng-9.3.0-h2828fa1_18
+conda-forge/linux-64::libgomp-9.3.0-h2828fa1_18
+conda-forge/linux-64::libstdcxx-ng-9.3.0-h6de172a_18
# update specs: ['cudatoolkit=11.1']
==> 2021-03-11 13:55:06 <==
# cmd: /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
# conda version: 4.9.2
-defaults/linux-64::pip-21.0.1-py38h06a4308_0
+conda-forge/linux-64::pip-20.0.2-py38_1
# update specs: ["pip[version='<20.2']"]
==> 2021-03-11 13:55:21 <==
# cmd: /home/tim/miniconda3/bin/conda-env update -p /home/tim/.clearml/venvs-builds/3.8 --file /tmp/conda_envu_x8060h.yml --quiet --json
# conda version: 4.9.2
-conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
-defaults/linux-64::ca-certificates-2021.1.19-h06a4308_1
+conda-forge/linux-64::_openmp_mutex-4.5-1_llvm
+conda-forge/linux-64::ffmpeg-4.3.1-h03821db_2
+conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
+conda-forge/linux-64::libblas-3.9.0-8_mkl
+conda-forge/linux-64::libiconv-1.16-h516909a_0
+conda-forge/linux-64::libprotobuf-3.15.5-h780b84a_0
+conda-forge/linux-64::libuv-1.41.0-h7f98852_0
+conda-forge/linux-64::llvm-openmp-11.0.1-h4bd325d_0
+conda-forge/linux-64::mkl-2020.4-h726a3e6_304
+conda-forge/linux-64::mkl_random-1.2.0-py38hc5bc63f_1
+conda-forge/linux-64::nettle-3.6-he412f7d_0
+conda-forge/linux-64::openh264-2.1.1-h780b84a_0
+conda-forge/linux-64::python_abi-3.8-1_cp38
+conda-forge/linux-64::pytorch-1.8.0-cpu_py38he614459_0
+conda-forge/linux-64::sleef-3.5.1-h7f98852_1
+conda-forge/linux-64::zstd-1.4.9-ha95c52a_0
+defaults/linux-64::blas-1.0-mkl
+defaults/linux-64::bzip2-1.0.8-h7b6447c_0
+defaults/linux-64::ca-certificates-2020.12.8-h06a4308_1
+defaults/linux-64::cffi-1.14.5-py38h261ae71_0
+defaults/linux-64::freetype-2.10.4-h5ab3b9f_0
+defaults/linux-64::future-0.18.2-py38_1
+defaults/linux-64::gmp-6.2.1-h2531618_2
+defaults/linux-64::jpeg-9b-h024ee3a_2
+defaults/linux-64::lame-3.100-h7b6447c_0
+defaults/linux-64::lcms2-2.11-h396b838_0
+defaults/linux-64::libpng-1.6.37-hbc83047_0
+defaults/linux-64::libtiff-4.1.0-h2733197_1
+defaults/linux-64::lz4-c-1.9.3-h2531618_0
+defaults/linux-64::mkl-service-2.3.0-py38he904b0f_0
+defaults/linux-64::mkl_fft-1.3.0-py38h54f3939_0
+defaults/linux-64::ninja-1.10.2-py38hff7bd54_0
+defaults/linux-64::numpy-1.19.2-py38h54aff64_0
+defaults/linux-64::numpy-base-1.19.2-py38hfa32c7d_0
+defaults/linux-64::pillow-8.1.2-py38he98fc37_0
+defaults/linux-64::six-1.15.0-py38h06a4308_0
+defaults/linux-64::x264-1!152.20180806-h7b6447c_0
+defaults/noarch::olefile-0.46-py_0
+defaults/noarch::pycparser-2.20-py_2
+defaults/noarch::typing_extensions-3.7.4.3-pyha847dfd_0
+pytorch/linux-64::torchaudio-0.8.0-py38
+pytorch/linux-64::torchvision-0.9.0-py38_cu111
# update specs: ['ld_impl_linux-64~=2.33.1', 'libpng~=1.6.37', 'ninja~=1.10.2', 'pytorch~=1.8.0', 'zstd~=1.4.9', 'gmp~=6.2.1', 'python~=3.8.8', 'torchaudio~=0.8.0', 'libtiff~=4.1.0', 'mkl-service~=2.3.0', 'typing_extensions~=3.7.4.3', 'llvm-openmp~=11.0.1', 'python_abi~=3.8', 'readline~=8.1', 'jpeg~=9b.0', 'libedit~=3.1.20191231', 'mkl_random~=1.2.0', 'numpy~=1.19.2', 'openssl~=1.1.1j', 'pillow~=8.1.2', 'blas~=1.0', 'setuptools~=52.0.0', 'tk~=8.6.10', 'ffmpeg~=4.3', 'lz4-c~=1.9.3', 'xz~=5.2.5', 'ncurses~=6.2', 'lame~=3.100', 'libgcc-ng~=9.3.0', 'libffi~=3.3', 'six~=1.15.0', 'certifi~=2020.12.5', 'libuv~=1.41.0', 'gnutls~=3.6.13', 'torchvision~=0.9.0', 'sqlite~=3.33.0', 'libstdcxx-ng~=9.3.0', 'olefile~=0.46', 'openh264~=2.1.1', 'libiconv~=1.16', 'ca-certificates~=2020.12.5', 'cudatoolkit~=11.1.1', 'mkl_fft~=1.3.0', 'freetype~=2.10.4', 'numpy-base~=1.19.2', 'wheel~=0.36.2', 'mkl~=2020.4', 'nettle~=3.6', 'lcms2~=2.11', 'bzip2~=1.0.8', 'zlib~=1.2.11']

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.

Sorry, env file for conda, the one you are using to install

I try it one more time just to make sure

Thank you! 🙂

I just wanna add: I can run this task on the same workstation with the same conda installation just fine.

# Python 3.7.10 (default, Feb 26 2021, 18:47:35)  [GCC 7.3.0]

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

# Conda Packages

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
torch==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

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.

But I do not have anything linked correctly since I rely in conda installing cuda/cudnn for me

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

Could you try to do:

CUDA_VERSION="11.1" clearml-agent ...

Okay. And 110 means 11.1 and not 11.0?

Yea, give me a minute.

sure

Hmm, you are correct
Which means this is some conda issue, basically when installing from env file, conda is not resolving the correct pytorch version 😞
Not sure why... Could you try to upgrade conda ?

But here is the funny thing:

channels:
- pytorch
- conda-forge
- defaults
dependencies:
- cudatoolkit=11.1.1
- pytorch=1.8.0

Installs GPU

@<1523701868901961728:profile|ReassuredTiger98> in the UI can you see it in the "installed packages" section under the Execution Tab ?

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

This my environment installed from env file. Training works just fine here:

Could you send the end file?