How can I use the GPU?

[Caio-Giulio-Cesare]

Hi everyone.
I have been using deepforest for some time and, thanks also to your precious help, I am able to make predictions and train a new model using a PC with the classic CPU... and everything seems to work well .

Now, to make everything faster, I would like to try using the GPU.

For this purpose I have an ACER Nitro 5 Win 11 notebook - with NVIDIA GeForce RTX 2060 graphics card (on PCI Slot 1 (PCI Bus 1, device 0, function 0)).

I performed the installation with GPU as indicated in the relevant chapter (conda/mamba GPU with cudatoolkit=10.2)

I tried to set the parameters of the deepforest_config.yml file by doing various tests for example
devices: 1
or devices: auto
accelerator: gpu

but always with negative outcome, getting the error:

'No supported gpu backend found!' when I create the model (model = main.deepforest())

I also tried with
devices: auto
accelerator: auto
and then after creating the model I try to move to cuda with

model.to("cuda")

but I get the error
('Torch not compiled with CUDA enabled',)

Does anyone kindly have some indications and can kindly help me understand how I should set the various parameters to use the GPU I have available?

Thanks so much in advance to anyone who wants to help me.
Bye.

[ethanwhite]

Can you try reinstalling pytorch. There are slightly different versions for with/without GPU support.

Using pip do:

pip3 install torch torchvision torchaudio

Or using conda do:

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

[bw4sz]

Agreed. Before you get involved in DeepForest can you confirm. Don't work on anything downstream of torch until this passes.

(DeepTreeAttention) [b.weinstein@c39a-s21 ~]$ python
Python 3.11.5 | packaged by conda-forge | (main, Aug 27 2023, 03:34:09) [GCC 12.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.cuda.is_available()
True

[xabierr]

Used conda as per above to install pytorch but still getting a False return. I am using RTX 4090 GPU.

[bw4sz]

This is not a DeepForest issue, but happy to try to help. Can you create a clean env and paste the entire install process below. I'd need to see everything to guess at a next step.

[Caio-Giulio-Cesare]

Thank you both so much, you are always very kind!

[xabierr]

Thanks! Attached the entire installation process. Running Windows 10 with a NVIDIA GeoForce RTX 4090. Cheers, Javier From: Benjamin Weinstein ***@***.***> Sent: Sunday, 18 February 2024 12:08 AM To: weecology/DeepForest ***@***.***> Cc: Javier Leon ***@***.***>; Comment ***@***.***> Subject: Re: [weecology/DeepForest] How can I use the GPU? (Discussion #481) This is not a DeepForest issue, but happy to try to help. Can you create a clean env and paste the entire install process below. I'd need to see everything to guess at a next step. — Reply to this email directly, view it on GitHub<#481 (reply in thread)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AJJ2W5LTFYFQ3LF55C6V4ZDYUC2UDAVCNFSM6AAAAAA5MRHIUOVHI2DSMVQWIX3LMV43SRDJONRXK43TNFXW4Q3PNVWWK3TUHM4DKMBQHE4DE>. You are receiving this because you commented.Message ID: ***@***.***> (base) C:\Users\jleon>conda create -n deepforest python=3 pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia Collecting package metadata (current_repodata.json): done Solving environment: unsuccessful attempt using repodata from current_repodata.json, retrying with next repodata source. Collecting package metadata (repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 23.7.4 latest version: 24.1.1 Please update conda by running $ conda update -n base -c defaults conda Or to minimize the number of packages updated during conda update use conda install conda=24.1.1 ## Package Plan ## environment location: C:\Users\jleon\AppData\Local\anaconda3\envs\deepforest added / updated specs: - python=3 - pytorch - pytorch-cuda=11.7 - torchaudio - torchvision The following NEW packages will be INSTALLED: blas pkgs/main/win-64::blas-1.0-mkl bzip2 pkgs/main/win-64::bzip2-1.0.8-he774522_0 ca-certificates pkgs/main/win-64::ca-certificates-2023.12.12-haa95532_0 certifi pkgs/main/win-64::certifi-2024.2.2-py312haa95532_0 charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0 cuda-cccl nvidia/win-64::cuda-cccl-12.3.101-0 cuda-cudart nvidia/win-64::cuda-cudart-11.7.99-0 cuda-cudart-dev nvidia/win-64::cuda-cudart-dev-11.7.99-0 cuda-cupti nvidia/win-64::cuda-cupti-11.7.101-0 cuda-libraries nvidia/win-64::cuda-libraries-11.7.1-0 cuda-libraries-dev nvidia/win-64::cuda-libraries-dev-11.7.1-0 cuda-nvrtc nvidia/win-64::cuda-nvrtc-11.7.99-0 cuda-nvrtc-dev nvidia/win-64::cuda-nvrtc-dev-11.7.99-0 cuda-nvtx nvidia/win-64::cuda-nvtx-11.7.91-0 cuda-runtime nvidia/win-64::cuda-runtime-11.7.1-0 expat pkgs/main/win-64::expat-2.5.0-hd77b12b_0 filelock pkgs/main/win-64::filelock-3.13.1-py312haa95532_0 freetype pkgs/main/win-64::freetype-2.12.1-ha860e81_0 idna pkgs/main/win-64::idna-3.4-py312haa95532_0 intel-openmp pkgs/main/win-64::intel-openmp-2023.1.0-h59b6b97_46320 jinja2 pkgs/main/win-64::jinja2-3.1.3-py312haa95532_0 jpeg pkgs/main/win-64::jpeg-9e-h2bbff1b_1 lerc pkgs/main/win-64::lerc-3.0-hd77b12b_0 libcublas nvidia/win-64::libcublas-11.10.3.66-0 libcublas-dev nvidia/win-64::libcublas-dev-11.10.3.66-0 libcufft nvidia/win-64::libcufft-10.7.2.124-0 libcufft-dev nvidia/win-64::libcufft-dev-10.7.2.124-0 libcurand nvidia/win-64::libcurand-10.3.4.107-0 libcurand-dev nvidia/win-64::libcurand-dev-10.3.4.107-0 libcusolver nvidia/win-64::libcusolver-11.4.0.1-0 libcusolver-dev nvidia/win-64::libcusolver-dev-11.4.0.1-0 libcusparse nvidia/win-64::libcusparse-11.7.4.91-0 libcusparse-dev nvidia/win-64::libcusparse-dev-11.7.4.91-0 libdeflate pkgs/main/win-64::libdeflate-1.17-h2bbff1b_1 libffi pkgs/main/win-64::libffi-3.4.4-hd77b12b_0 libjpeg-turbo pkgs/main/win-64::libjpeg-turbo-2.0.0-h196d8e1_0 libnpp nvidia/win-64::libnpp-11.7.4.75-0 libnpp-dev nvidia/win-64::libnpp-dev-11.7.4.75-0 libnvjpeg nvidia/win-64::libnvjpeg-11.8.0.2-0 libnvjpeg-dev nvidia/win-64::libnvjpeg-dev-11.8.0.2-0 libpng pkgs/main/win-64::libpng-1.6.39-h8cc25b3_0 libtiff pkgs/main/win-64::libtiff-4.5.1-hd77b12b_0 libuv pkgs/main/win-64::libuv-1.44.2-h2bbff1b_0 libwebp-base pkgs/main/win-64::libwebp-base-1.3.2-h2bbff1b_0 lz4-c pkgs/main/win-64::lz4-c-1.9.4-h2bbff1b_0 markupsafe pkgs/main/win-64::markupsafe-2.1.3-py312h2bbff1b_0 mkl pkgs/main/win-64::mkl-2023.1.0-h6b88ed4_46358 mkl-service pkgs/main/win-64::mkl-service-2.4.0-py312h2bbff1b_1 mkl_fft pkgs/main/win-64::mkl_fft-1.3.8-py312h2bbff1b_0 mkl_random pkgs/main/win-64::mkl_random-1.2.4-py312h59b6b97_0 mpmath pkgs/main/win-64::mpmath-1.3.0-py312haa95532_0 networkx pkgs/main/win-64::networkx-3.1-py312haa95532_0 numpy pkgs/main/win-64::numpy-1.26.3-py312hfd52020_0 numpy-base pkgs/main/win-64::numpy-base-1.26.3-py312h4dde369_0 openjpeg pkgs/main/win-64::openjpeg-2.4.0-h4fc8c34_0 openssl pkgs/main/win-64::openssl-3.0.13-h2bbff1b_0 pillow pkgs/main/win-64::pillow-10.2.0-py312h2bbff1b_0 pip pkgs/main/win-64::pip-23.3.1-py312haa95532_0 python pkgs/main/win-64::python-3.12.1-h1d929f7_0 pytorch pytorch/win-64::pytorch-2.2.0-py3.12_cpu_0 pytorch-cuda pytorch/win-64::pytorch-cuda-11.7-h16d0643_5 pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cpu pyyaml pkgs/main/win-64::pyyaml-6.0.1-py312h2bbff1b_0 requests pkgs/main/win-64::requests-2.31.0-py312haa95532_1 setuptools pkgs/main/win-64::setuptools-68.2.2-py312haa95532_0 sqlite pkgs/main/win-64::sqlite-3.41.2-h2bbff1b_0 sympy pkgs/main/win-64::sympy-1.12-py312haa95532_0 tbb pkgs/main/win-64::tbb-2021.8.0-h59b6b97_0 tk pkgs/main/win-64::tk-8.6.12-h2bbff1b_0 torchaudio pytorch/win-64::torchaudio-2.2.0-py312_cpu torchvision pytorch/win-64::torchvision-0.17.0-py312_cpu typing_extensions pkgs/main/win-64::typing_extensions-4.9.0-py312haa95532_1 tzdata pkgs/main/noarch::tzdata-2023d-h04d1e81_0 urllib3 pkgs/main/win-64::urllib3-2.1.0-py312haa95532_0 vc pkgs/main/win-64::vc-14.2-h21ff451_1 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 wheel pkgs/main/win-64::wheel-0.41.2-py312haa95532_0 xz pkgs/main/win-64::xz-5.4.5-h8cc25b3_0 yaml pkgs/main/win-64::yaml-0.2.5-he774522_0 zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_0 zstd pkgs/main/win-64::zstd-1.5.5-hd43e919_0 Proceed ([y]/n)? y Downloading and Extracting Packages Preparing transaction: done Verifying transaction: done Executing transaction: done # # To activate this environment, use # # $ conda activate deepforest # # To deactivate an active environment, use # # $ conda deactivate (base) C:\Users\jleon>conda activate deepforest (deepforest) C:\Users\jleon>conda install deepforest -c conda-forge Collecting package metadata (current_repodata.json): done Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve. Solving environment: unsuccessful attempt using repodata from current_repodata.json, retrying with next repodata source. Collecting package metadata (repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 23.7.4 latest version: 24.1.1 Please update conda by running $ conda update -n base -c defaults conda Or to minimize the number of packages updated during conda update use conda install conda=24.1.1 ## Package Plan ## environment location: C:\Users\jleon\AppData\Local\anaconda3\envs\deepforest added / updated specs: - deepforest The following packages will be downloaded: package | build ---------------------------|----------------- fiona-1.9.5 | py312h95cbb4d_2 798 KB conda-forge fonttools-4.49.0 | py312he70551f_0 2.2 MB conda-forge gdal-3.8.1 | py312h6c4443f_4 1.6 MB conda-forge libboost-headers-1.84.0 | h57928b3_1 13.2 MB conda-forge libgdal-3.8.1 | h70e2fc3_4 8.2 MB conda-forge libglib-2.78.4 | h16e383f_0 2.5 MB conda-forge python-3.12.2 |h2628c8c_0_cpython 15.3 MB conda-forge python-tzdata-2024.1 | pyhd8ed1ab_0 141 KB conda-forge 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poppler-data conda-forge/noarch::poppler-data-0.4.12-hd8ed1ab_0 postgresql conda-forge/win-64::postgresql-16.2-h1beaf6b_0 proj conda-forge/win-64::proj-9.3.1-he13c7e8_0 psutil conda-forge/win-64::psutil-5.9.8-py312he70551f_0 pthread-stubs conda-forge/win-64::pthread-stubs-0.4-hcd874cb_1001 pygments conda-forge/noarch::pygments-2.17.2-pyhd8ed1ab_0 pyparsing conda-forge/noarch::pyparsing-3.1.1-pyhd8ed1ab_0 pyproj conda-forge/win-64::pyproj-3.6.1-py312hc725b1e_5 pytest conda-forge/noarch::pytest-8.0.0-pyhd8ed1ab_0 python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 python-tzdata conda-forge/noarch::python-tzdata-2024.1-pyhd8ed1ab_0 python_abi conda-forge/win-64::python_abi-3.12-4_cp312 pytorch-lightning conda-forge/noarch::pytorch-lightning-2.0.7-pyhd8ed1ab_0 pytz conda-forge/noarch::pytz-2024.1-pyhd8ed1ab_0 rasterio conda-forge/win-64::rasterio-1.3.9-py312hc028deb_2 rav1e conda-forge/win-64::rav1e-0.6.6-h975169c_2 recommonmark conda-forge/noarch::recommonmark-0.7.1-pyhd8ed1ab_0 rtree conda-forge/win-64::rtree-1.2.0-py312h72b5f30_0 shapely conda-forge/win-64::shapely-2.0.2-py312h7d70906_1 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 slidingwindow conda-forge/noarch::slidingwindow-0.0.14-pyh9f0ad1d_0 snappy conda-forge/win-64::snappy-1.1.10-hfb803bf_0 snowballstemmer conda-forge/noarch::snowballstemmer-2.2.0-pyhd8ed1ab_0 snuggs conda-forge/noarch::snuggs-1.4.7-py_0 sphinx conda-forge/noarch::sphinx-7.2.6-pyhd8ed1ab_0 sphinxcontrib-app~ conda-forge/noarch::sphinxcontrib-applehelp-1.0.8-pyhd8ed1ab_0 sphinxcontrib-dev~ conda-forge/noarch::sphinxcontrib-devhelp-1.0.6-pyhd8ed1ab_0 sphinxcontrib-htm~ conda-forge/noarch::sphinxcontrib-htmlhelp-2.0.5-pyhd8ed1ab_0 sphinxcontrib-jsm~ conda-forge/noarch::sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_0 sphinxcontrib-qth~ conda-forge/noarch::sphinxcontrib-qthelp-1.0.7-pyhd8ed1ab_0 sphinxcontrib-ser~ conda-forge/noarch::sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0 svt-av1 conda-forge/win-64::svt-av1-1.7.0-h63175ca_0 tabulate conda-forge/noarch::tabulate-0.9.0-pyhd8ed1ab_1 tiledb conda-forge/win-64::tiledb-2.18.2-hc200977_1 tomli conda-forge/noarch::tomli-2.0.1-pyhd8ed1ab_0 torchmetrics conda-forge/noarch::torchmetrics-1.2.1-pyhd8ed1ab_0 tqdm conda-forge/noarch::tqdm-4.66.2-pyhd8ed1ab_0 ucrt conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0 uriparser conda-forge/win-64::uriparser-0.9.7-h1537add_1 vc14_runtime conda-forge/win-64::vc14_runtime-14.38.33130-h82b7239_18 xerces-c conda-forge/win-64::xerces-c-3.2.5-h63175ca_0 xmltodict conda-forge/noarch::xmltodict-0.13.0-pyhd8ed1ab_0 xorg-libxau conda-forge/win-64::xorg-libxau-1.0.11-hcd874cb_0 xorg-libxdmcp conda-forge/win-64::xorg-libxdmcp-1.1.3-hcd874cb_0 zfp conda-forge/win-64::zfp-1.0.1-h63175ca_0 zipp conda-forge/noarch::zipp-3.17.0-pyhd8ed1ab_0 zlib-ng conda-forge/win-64::zlib-ng-2.0.7-hcfcfb64_0 The following packages will be REMOVED: jpeg-9e-h2bbff1b_1 The following packages will be UPDATED: ca-certificates pkgs/main::ca-certificates-2023.12.12~ --> conda-forge::ca-certificates-2024.2.2-h56e8100_0 lerc pkgs/main::lerc-3.0-hd77b12b_0 --> conda-forge::lerc-4.0.0-h63175ca_0 libdeflate pkgs/main::libdeflate-1.17-h2bbff1b_1 --> conda-forge::libdeflate-1.19-hcfcfb64_0 libjpeg-turbo pkgs/main::libjpeg-turbo-2.0.0-h196d8~ --> conda-forge::libjpeg-turbo-3.0.0-hcfcfb64_1 libtiff pkgs/main::libtiff-4.5.1-hd77b12b_0 --> conda-forge::libtiff-4.6.0-h6e2ebb7_2 openjpeg pkgs/main::openjpeg-2.4.0-h4fc8c34_0 --> conda-forge::openjpeg-2.5.0-h3d672ee_3 openssl pkgs/main::openssl-3.0.13-h2bbff1b_0 --> conda-forge::openssl-3.2.1-hcfcfb64_0 python pkgs/main::python-3.12.1-h1d929f7_0 --> conda-forge::python-3.12.2-h2628c8c_0_cpython tk pkgs/main::tk-8.6.12-h2bbff1b_0 --> conda-forge::tk-8.6.13-h5226925_1 vs2015_runtime pkgs/main::vs2015_runtime-14.27.29016~ --> conda-forge::vs2015_runtime-14.38.33130-hcb4865c_18 zlib pkgs/main::zlib-1.2.13-h8cc25b3_0 --> conda-forge::zlib-1.2.13-hcfcfb64_5 The following packages will be SUPERSEDED by a higher-priority channel: certifi pkgs/main/win-64::certifi-2024.2.2-py~ --> conda-forge/noarch::certifi-2024.2.2-pyhd8ed1ab_0 pillow pkgs/main::pillow-10.2.0-py312h2bbff1~ --> conda-forge::pillow-10.2.0-py312he768995_0 Proceed ([y]/n)? y Downloading and Extracting Packages Preparing transaction: done Verifying transaction: done Executing transaction: done (deepforest) C:\Users\jleon>import torch 'import' is not recognized as an internal or external command, operable program or batch file. (deepforest) C:\Users\jleon>torch.cuda.is_available() 'torch.cuda.is_available' is not recognized as an internal or external command, operable program or batch file. (deepforest) C:\Users\jleon>python Python 3.12.2 | packaged by conda-forge | (main, Feb 16 2024, 20:42:31) [MSC v.1937 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information.

>> import torch >> torch.cuda.is_available()

False