Disclaimer: This post has been translated to English using a machine translation model. Please, let me know if you find any mistakes.
When working in data science, artificial intelligence, deep learning, or whatever you want to call it, we are going to work on several projects. And in some of them, you might need to install, for example, version 11.6 of CUDA and in others, version 11.8. In such cases, they will advise you, never fight with CUDA, it always wins.
Therefore, it's best to create separate environments for each project. This way, you can install whatever you want in each environment and not globally. And thus, you won't have issues with library version incompatibilities.
To create Python environments, the default is venv, which are its virtual environments. However, I recommend you use conda to create your virtual environments, as it not only creates virtual environments but is also a package manager, and it is a better package manager than pip.
This is not an explanatory post on conda, so you won't find how to install it or how to use it. It's a post that talks about the advantages of using conda and also using mamba (which we will explain later).
I will create three distinct conda environments, one will be called pip_env, another conda_env, and the other mamba_env.
Conda vs PIP
pip_env
I am going to create a new environment called pip_env
!conda create -n pip_env
In the pip_env environment, I will install pandas
# pip_env!pip install pandas
Collecting pandasUsing cached pandas-2.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)Requirement already satisfied: numpy>=1.21.0 in /home/wallabot/miniconda3/envs/pip_env/lib/python3.10/site-packages (from pandas) (1.24.3)Requirement already satisfied: python-dateutil>=2.8.2 in /home/wallabot/miniconda3/envs/pip_env/lib/python3.10/site-packages (from pandas) (2.8.2)Requirement already satisfied: pytz>=2020.1 in /home/wallabot/miniconda3/envs/pip_env/lib/python3.10/site-packages (from pandas) (2023.3)Requirement already satisfied: tzdata>=2022.1 in /home/wallabot/miniconda3/envs/pip_env/lib/python3.10/site-packages (from pandas) (2023.3)Requirement already satisfied: six>=1.5 in /home/wallabot/miniconda3/envs/pip_env/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)Installing collected packages: pandasSuccessfully installed pandas-2.0.1
As can be seen in the output when installing pandas, it depends on numpy, so it installs it in version 1.24.3. But if for some reason we need numpy in version 1.19, if we try to install it, we will get an error.
# pip_env!pip install numpy==1.19.0
Collecting numpy==1.19.0Using cached numpy-1.19.0.zip (7.3 MB)Installing build dependencies ... doneGetting requirements to build wheel ... donePreparing metadata (pyproject.toml) ... doneBuilding wheels for collected packages: numpyBuilding wheel for numpy (pyproject.toml) ... errorerror: subprocess-exited-with-error× Building wheel for numpy (pyproject.toml) did not run successfully.│ exit code: 1╰─> [1113 lines of output]Running from numpy source directory.Cythonizing sourcesnumpy/random/_bounded_integers.pxd.in has not changednumpy/random/_bounded_integers.pyx.in has not changednumpy/random/_philox.pyx has not changednumpy/random/_mt19937.pyx has not changednumpy/random/_sfc64.pyx has not changednumpy/random/mtrand.pyx has not changednumpy/random/_common.pyx has not changedProcessing numpy/random/_bounded_integers.pyx/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:73: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.required_version = LooseVersion('0.29.14')/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:75: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead....note: This error originates from a subprocess, and is likely not a problem with pip.ERROR: Failed building wheel for numpyFailed to build numpyERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
We got an error, and if we check which version of numpy we have, we see that we are still on 1.24.3
# pip_envimport numpy as npnp.__version__
'1.24.3'
And we check which version of pandas we have
# pip_envimport pandas as pdpd.__version__
'2.0.1'
conda_env
To resolve this conflict, we can use conda, I create a new environment called conda_env
!conda create -n conda_env
And now we tell it that we want to install numpy version 1.19 and pandas, and conda will find a way to do it.
# conda_env!conda install -y numpy=1.19 pandas
Collecting package metadata (current_repodata.json): doneSolving environment: failed with initial frozen solve. Retrying with flexible solve.Collecting package metadata (repodata.json): doneSolving environment: done## Package Plan ##environment location: /home/wallabot/miniconda3/envs/conda_envadded / updated specs:- numpy=1.19- pandasThe following packages will be downloaded:package | build---------------------------|-----------------ca-certificates-2023.01.10 | h06a4308_0 120 KBcertifi-2021.5.30 | py36h06a4308_0 139 KBintel-openmp-2022.1.0 | h9e868ea_3769 4.5 MBmkl-2020.2 | 256 138.3 MBmkl-service-2.3.0 | py36he8ac12f_0 52 KBmkl_fft-1.3.0 | py36h54f3939_0 170 KBmkl_random-1.1.1 | py36h0573a6f_0 327 KBnumpy-1.19.2 | py36h54aff64_0 22 KBnumpy-base-1.19.2 | py36hfa32c7d_0 4.1 MBpandas-1.1.5 | py36ha9443f7_0 8.2 MBpytz-2021.3 | pyhd3eb1b0_0 171 KB------------------------------------------------------------Total: 156.1 MB...Preparing transaction: doneVerifying transaction: doneExecuting transaction: done
It seems that he has managed it, let's see
# conda_envimport numpy as npnp.__version__
'1.19.2'
# conda_envimport pandas as pdpd.__version__
'1.1.5'
We see that you were able to install both, but to resolve the conflicts you installed pandas in version 1.1.5, instead of version 2.0.1 that was installed by pip.
Mamba vs Conda
Now that we have seen that conda is better at resolving conflicts, let's look at the difference between using mamba and conda. As we have seen, conda is very good at resolving conflicts, but it has the problem of being slow when installing packages, as it installs dependencies in series, one after another. Thanks to mamba, we will have the same benefits of conda, only the dependencies will be installed in parallel, making use of the cores we have on our micro.
conda_env
We are going to stay in the conda_env and we are going to see how long it takes to install pytorch. By putting time before a command, we can see how long it takes to execute.
# conda_env!time conda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
Collecting package metadata (current_repodata.json): doneSolving environment: failed with initial frozen solve. Retrying with flexible solve.Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Collecting package metadata (repodata.json): doneSolving environment: done## Package Plan ##environment location: /home/wallabot/miniconda3/envs/conda_envadded / updated specs:- pytorch- pytorch-cuda=11.8- torchaudio- torchvisionThe following packages will be downloaded:package | build---------------------------|-----------------bzip2-1.0.8 | h7b6447c_0 78 KBcuda-cudart-11.8.89 | 0 197 KB nvidiacuda-cupti-11.8.87 | 0 25.3 MB nvidiacuda-libraries-11.8.0 | 0 1 KB nvidiacuda-nvrtc-11.8.89 | 0 19.1 MB nvidiacuda-nvtx-11.8.86 | 0 57 KB nvidiacuda-runtime-11.8.0 | 0 1 KB nvidiacudatoolkit-11.3.1 | ha36c431_9 815.2 MB nvidiadataclasses-0.8 | pyh4f3eec9_6 22 KBlibcublas-11.11.3.6 | 0 364.0 MB nvidialibcufft-10.9.0.58 | 0 142.8 MB nvidialibcufile-1.6.1.9 | 0 764 KB nvidialibcurand-10.3.2.106 | 0 51.7 MB nvidialibcusolver-11.4.1.48 | 0 96.5 MB nvidialibcusparse-11.7.5.86 | 0 176.3 MB nvidialibnpp-11.8.0.86 | 0 147.8 MB nvidialibnvjpeg-11.9.0.86 | 0 2.4 MB nvidiaolefile-0.46 | py36_0 48 KBopenjpeg-2.4.0 | h3ad879b_0 331 KBpillow-8.3.1 | py36h2c7a002_0 637 KBpytorch-1.10.2 |py3.6_cuda11.3_cudnn8.2.0_0 1.21 GB pytorchpytorch-cuda-11.8 | h7e8668a_3 7 KB pytorchtorchaudio-0.10.2 | py36_cu113 4.5 MB pytorchtorchvision-0.11.3 | py36_cu113 30.4 MB pytorchtyping_extensions-4.1.1 | pyh06a4308_0 28 KB------------------------------------------------------------Total: 3.04 GB...Preparing transaction: doneVerifying transaction: doneExecuting transaction: / By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.htmldoneconda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch 294,42s user 18,01s system 187% cpu 2:46,42 total
We see that it took 294.42 seconds, about 4.9 minutes, almost 5 minutes.
mamba_env
Now we are going to reinstall pytorch, but with mamba. First, we create an environment called mamba_env
!conda create -n mamba_env
To install mamba, download it from mambaforge and install it.
Now we reinstall pytorch in mamba_env
# mamba_env!time mamba install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
__ __ __ __/ / / / \/ / / / \███████████████/ /██/ /██/ /██/ /████████████████████████/ / / / / ____/ / _/ _/ _/ o __,/ _/ _____/ `|/███╗ ███╗ █████╗ ███╗ ███╗██████╗ █████╗████╗ ████║██╔══██╗████╗ ████║██╔══██╗██╔══██╗██╔████╔██║███████║██╔████╔██║██████╔╝███████║██║╚██╔╝██║██╔══██║██║╚██╔╝██║██╔══██╗██╔══██║██║ ╚═╝ ██║██║ ██║██║ ╚═╝ ██║██████╔╝██║ ██║╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝╚═════╝ ╚═╝ ╚═╝mamba (1.3.1) supported by @QuantStackGitHub: https://github.com/mamba-org/mambaTwitter: https://twitter.com/QuantStack█████████████████████████████████████████████████████████████Looking for: ['pytorch', 'torchvision', 'torchaudio', 'pytorch-cuda=11.8']warning libmamba Could not parse state file: Could not load cache state: [json.exception.type_error.302] type must be string, but is nullwarning libmamba Could not parse state file: Could not load cache state: [json.exception.type_error.302] type must be string, but is nullwarning libmamba Could not parse state file: Could not load cache state: [json.exception.type_error.302] type must be string, but is nullwarning libmamba Could not parse state file: Could not load cache state: [json.exception.type_error.302] type must be string, but is null[+] 0.0s[+] 0.1spytorch/linux-64 ━━━━━━━━━━━╸━━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.1spytorch/noarch ━━━╸━━━━━━━━━━━━━━━╸━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.1snvidia/linux-64 ━━━━━━━━━╸━━━━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.1snvidia/noarch ━━━━━━━━╸━━━━━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.1spkgs/main/linux-64 ━━━━━━━━━━━━━━━╸━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.1spkgs/main/linux-64 No changepkgs/r/noarch No changepytorch/noarch 10.1kB @ 58.3kB/s 0.2snvidia/noarch 3.4kB @ 18.7kB/s 0.2spkgs/main/noarch No change[+] 0.2spytorch/linux-64 ━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.2snvidia/linux-64 ━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.2spkgs/r/linux-64 ━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 0.0 B / ??.?MB @ ??.?MB/s 0.0spytorch/linux-64 163.4kB @ 801.5kB/s 0.2spkgs/r/linux-64 No changenvidia/linux-64 120.2kB @ 566.5kB/s 0.2sPinned packages:- python 3.10.*TransactionPrefix: /home/wallabot/miniconda3/envs/mamba_env2Updating specs:- pytorch- torchvision- torchaudio- pytorch-cuda=11.8- ca-certificates- certifi- opensslPackage Version Build Channel Size─────────────────────────────────────────────────────────────────────────────────────────────────Install:─────────────────────────────────────────────────────────────────────────────────────────────────+ blas 1.0 mkl pkgs/main/linux-64 Cached+ brotlipy 0.7.0 py310h7f8727e_1002 pkgs/main/linux-64 Cached+ cffi 1.15.1 py310h5eee18b_3 pkgs/main/linux-64 Cached+ charset-normalizer 2.0.4 pyhd3eb1b0_0 pkgs/main/noarch Cached+ cryptography 39.0.1 py310h9ce1e76_0 pkgs/main/linux-64 Cached+ cuda-cudart 11.8.89 0 nvidia/linux-64 Cached+ cuda-cupti 11.8.87 0 nvidia/linux-64 Cached+ cuda-libraries 11.8.0 0 nvidia/linux-64 Cached+ cuda-nvrtc 11.8.89 0 nvidia/linux-64 Cached+ cuda-nvtx 11.8.86 0 nvidia/linux-64 Cached+ cuda-runtime 11.8.0 0 nvidia/linux-64 Cached+ ffmpeg 4.3 hf484d3e_0 pytorch/linux-64 Cached+ filelock 3.9.0 py310h06a4308_0 pkgs/main/linux-64 Cached+ freetype 2.12.1 h4a9f257_0 pkgs/main/linux-64 Cached+ giflib 5.2.1 h5eee18b_3 pkgs/main/linux-64 Cached+ gmp 6.2.1 h295c915_3 pkgs/main/linux-64 Cached+ gmpy2 2.1.2 py310heeb90bb_0 pkgs/main/linux-64 Cached+ gnutls 3.6.15 he1e5248_0 pkgs/main/linux-64 Cached+ idna 3.4 py310h06a4308_0 pkgs/main/linux-64 Cached+ intel-openmp 2021.4.0 h06a4308_3561 pkgs/main/linux-64 Cached+ jinja2 3.1.2 py310h06a4308_0 pkgs/main/linux-64 Cached+ jpeg 9e h5eee18b_1 pkgs/main/linux-64 Cached+ lame 3.100 h7b6447c_0 pkgs/main/linux-64 Cached+ lcms2 2.12 h3be6417_0 pkgs/main/linux-64 Cached+ lerc 3.0 h295c915_0 pkgs/main/linux-64 Cached+ libcublas 11.11.3.6 0 nvidia/linux-64 Cached+ libcufft 10.9.0.58 0 nvidia/linux-64 Cached+ libcufile 1.6.1.9 0 nvidia/linux-64 Cached+ libcurand 10.3.2.106 0 nvidia/linux-64 Cached+ libcusolver 11.4.1.48 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h10f8cd9_1 pkgs/main/linux-64 Cached+ mpfr 4.0.2 hb69a4c5_1 pkgs/main/linux-64 Cached+ mpmath 1.2.1 py310h06a4308_0 pkgs/main/linux-64 Cached+ nettle 3.7.3 hbbd107a_1 pkgs/main/linux-64 Cached+ networkx 2.8.4 py310h06a4308_1 pkgs/main/linux-64 Cached+ numpy 1.24.3 py310hd5efca6_0 pkgs/main/linux-64 11kB+ numpy-base 1.24.3 py310h8e6c178_0 pkgs/main/linux-64 7MB+ openh264 2.1.1 h4ff587b_0 pkgs/main/linux-64 Cached+ pillow 9.4.0 py310h6a678d5_0 pkgs/main/linux-64 Cached+ pycparser 2.21 pyhd3eb1b0_0 pkgs/main/noarch Cached+ pyopenssl 23.0.0 py310h06a4308_0 pkgs/main/linux-64 Cached+ pysocks 1.7.1 py310h06a4308_0 pkgs/main/linux-64 Cached+ pytorch 2.0.0 py3.10_cuda11.8_cudnn8.7.0_0 pytorch/linux-64 2GB+ pytorch-cuda 11.8 h7e8668a_3 pytorch/linux-64 Cached+ pytorch-mutex 1.0 cuda pytorch/noarch Cached+ requests 2.29.0 py310h06a4308_0 pkgs/main/linux-64 99kB+ sympy 1.11.1 py310h06a4308_0 pkgs/main/linux-64 Cached+ torchaudio 2.0.0 py310_cu118 pytorch/linux-64 8MB+ torchtriton 2.0.0 py310 pytorch/linux-64 Cached+ torchvision 0.15.0 py310_cu118 pytorch/linux-64 8MB+ typing_extensions 4.5.0 py310h06a4308_0 pkgs/main/linux-64 49kB+ urllib3 1.26.15 py310h06a4308_0 pkgs/main/linux-64 Cached+ zstd 1.5.5 hc292b87_0 pkgs/main/linux-64 CachedUpgrade:─────────────────────────────────────────────────────────────────────────────────────────────────- openssl 1.1.1s h7f8727e_0 anaconda+ openssl 1.1.1t h7f8727e_0 pkgs/main/linux-64 CachedSummary:Install: 71 packagesUpgrade: 1 packagesTotal download: 2GB─────────────────────────────────────────────────────────────────────────────────────────────────...Preparing transaction: doneVerifying transaction: doneExecuting transaction: donemamba install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch 121,61s user 7,63s system 95% cpu 2:14,75 total
Now it took 121.61 seconds, about 2 minutes. Less than half the time compared to conda.
Create an environment from a file
We might want to create an environment with a specific list of packages, so we can pass a file to conda to create the environment with those packages. To do this, we create a file called environment.yml with content like the following
name: environment_from_file
channels:
- defaults
- conda-forge
- pytorch
- nvidia
dependencies:
- python=3.11
- cudatoolkit=11.8
- pytorch=2.2.1
- torchaudio- torchvision
- pip
- pip:
- transformersAs we can see, the name of the environment is specified, the channels we are going to use, the packages with their versions that we are going to install through Conda, and the packages we are going to install through Pip. Now we tell Conda to create the environment with those packages.
conda env create -f environment.ymlWe create the file
!touch environment.yml \&& echo "name: entorno_desde_archivo" >> environment.yml \&& echo "channels:" >> environment.yml \&& echo " - defaults" >> environment.yml \&& echo " - conda-forge" >> environment.yml \&& echo " - pytorch" >> environment.yml \&& echo " - nvidia" >> environment.yml \&& echo "dependencies:" >> environment.yml \&& echo " - python=3.11" >> environment.yml \&& echo " - cudatoolkit=11.8" >> environment.yml \&& echo " - pytorch=2.2.1" >> environment.yml \&& echo " - torchaudio" >> environment.yml \&& echo " - torchvision" >> environment.yml \&& echo " - pip" >> environment.yml \&& echo " - pip:" >> environment.yml \&& echo " - transformers" >> environment.yml
Now that we have the file, we can create the custom environment
!conda env create -f environment.yml
Retrieving notices: ...working... doneChannels:- defaults- conda-forge- pytorch- nvidiaPlatform: linux-64Collecting package metadata (repodata.json): doneSolving environment: done==> WARNING: A newer version of conda exists. <==current version: 23.11.0latest version: 24.1.2Please update conda by running$ conda update -n base -c conda-forge condaDownloading and Extracting Packages:pytorch-2.2.1 | 1.35 GB | | 0%cudatoolkit-11.8.0 | 630.7 MB | | 0%libcublas-12.1.0.26 | 329.0 MB | | 0%libcusparse-12.0.2.5 | 163.0 MB | | 0%libnpp-12.0.2.50 | 139.8 MB | | 0%libcufft-11.0.2.4 | 102.9 MB | | 0%libcusolver-11.4.4.5 | 98.3 MB | | 0%libcurand-10.3.5.119 | 51.8 MB | | 0%python-3.11.8 | 32.9 MB | | 0%cuda-nvrtc-12.1.105 | 19.7 MB | | 0%libnvjitlink-12.1.10 | 16.9 MB | | 0%cuda-cupti-12.1.105 | 15.4 MB | | 0%torchvision-0.15.2 | 10.3 MB | | 0%numpy-base-1.26.4 | 8.3 MB | | 0%torchaudio-2.2.1 | 6.4 MB | | 0%libnvjpeg-12.1.1.14 | 2.9 MB | | 0%libcufile-1.9.0.20 | 1.0 MB | | 0%xz-5.4.6 | 651 KB | | 0%bzip2-1.0.8 | 262 KB | | 0%cuda-cudart-12.1.105 | 189 KB | | 0%tzdata-2024a | 116 KB | | 0%cuda-nvtx-12.1.105 | 57 KB | | 0%cuda-opencl-12.4.99 | 11 KB | | 0%... (more hidden) ...cudatoolkit-11.8.0 | 630.7 MB | | 0%libcusparse-12.0.2.5 | 163.0 MB | | 0%libcublas-12.1.0.26 | 329.0 MB | | 0%pytorch-2.2.1 | 1.35 GB | | 0%cudatoolkit-11.8.0 | 630.7 MB | | 0%libcublas-12.1.0.26 | 329.0 MB | 2 | 1%libnpp-12.0.2.50 | 139.8 MB | 3 | 1%pytorch-2.2.1 | 1.35 GB | | 0%cudatoolkit-11.8.0 | 630.7 MB | 1 | 0%libcublas-12.1.0.26 | 329.0 MB | 5 | 2%libnpp-12.0.2.50 | 139.8 MB | 6 | 2%pytorch-2.2.1 | 1.35 GB | | 0%cudatoolkit-11.8.0 | 630.7 MB | 2 | 1%libnpp-12.0.2.50 | 139.8 MB | 9 | 2%libcublas-12.1.0.26 | 329.0 MB | 8 | 2%pytorch-2.2.1 | 1.35 GB | | 0%cudatoolkit-11.8.0 | 630.7 MB | 3 | 1%libnpp-12.0.2.50 | 139.8 MB | #2 | 3%libcublas-12.1.0.26 | 329.0 MB | # | 3%pytorch-2.2.1 | 1.35 GB | 1 | 0%cudatoolkit-11.8.0 | 630.7 MB | 4 | 1%libnpp-12.0.2.50 | 139.8 MB | #5 | 4%libcublas-12.1.0.26 | 329.0 MB | #3 | 4%pytorch-2.2.1 | 1.35 GB | 1 | 0%cudatoolkit-11.8.0 | 630.7 MB | 5 | 2%libnpp-12.0.2.50 | 139.8 MB | #8 | 5%pytorch-2.2.1 | 1.35 GB | 2 | 1%libcusparse-12.0.2.5 | 163.0 MB | #5 | 4%cudatoolkit-11.8.0 | 630.7 MB | 6 | 2%libnpp-12.0.2.50 | 139.8 MB | ##2 | 6%pytorch-2.2.1 | 1.35 GB | 2 | 1%libcusparse-12.0.2.5 | 163.0 MB | #8 | 5%cudatoolkit-11.8.0 | 630.7 MB | 7 | 2%pytorch-2.2.1 | 1.35 GB | 2 | 1%libcusparse-12.0.2.5 | 163.0 MB | ##1 | 6%libcublas-12.1.0.26 | 329.0 MB | ## | 6%libnpp-12.0.2.50 | 139.8 MB | ##8 | 8%pytorch-2.2.1 | 1.35 GB | 3 | 1%libcusparse-12.0.2.5 | 163.0 MB | ##4 | 7%libcublas-12.1.0.26 | 329.0 MB | ##2 | 6%cudatoolkit-11.8.0 | 630.7 MB | 9 | 3%libnpp-12.0.2.50 | 139.8 MB | ###2 | 9%pytorch-2.2.1 | 1.35 GB | 3 | 1%libcublas-12.1.0.26 | 329.0 MB | ##5 | 7%libnpp-12.0.2.50 | 139.8 MB | ###5 | 10%cudatoolkit-11.8.0 | 630.7 MB | # | 3%pytorch-2.2.1 | 1.35 GB | 3 | 1%libcublas-12.1.0.26 | 329.0 MB | ##7 | 7%libnpp-12.0.2.50 | 139.8 MB | ###9 | 11%libcusparse-12.0.2.5 | 163.0 MB | ###4 | 9%pytorch-2.2.1 | 1.35 GB | 4 | 1%libcublas-12.1.0.26 | 329.0 MB | ##9 | 8%libcusparse-12.0.2.5 | 163.0 MB | ###7 | 10%libnpp-12.0.2.50 | 139.8 MB | ####2 | 12%pytorch-2.2.1 | 1.35 GB | 4 | 1%libcublas-12.1.0.26 | 329.0 MB | ###1 | 8%libcusparse-12.0.2.5 | 163.0 MB | #### | 11%libnpp-12.0.2.50 | 139.8 MB | ####6 | 12%pytorch-2.2.1 | 1.35 GB | 4 | 1%libcublas-12.1.0.26 | 329.0 MB | ###3 | 9%libcusparse-12.0.2.5 | 163.0 MB | ####4 | 12%libnpp-12.0.2.50 | 139.8 MB | ####9 | 13%pytorch-2.2.1 | 1.35 GB | 5 | 1%libcublas-12.1.0.26 | 329.0 MB | ###5 | 10%libcusparse-12.0.2.5 | 163.0 MB | ####7 | 13%libnpp-12.0.2.50 | 139.8 MB | #####2 | 14%pytorch-2.2.1 | 1.35 GB | 5 | 2%libcublas-12.1.0.26 | 329.0 MB | ###7 | 10%libcusparse-12.0.2.5 | 163.0 MB | ##### | 14%libnpp-12.0.2.50 | 139.8 MB | #####6 | 15%pytorch-2.2.1 | 1.35 GB | 5 | 2%libcusparse-12.0.2.5 | 163.0 MB | #####4 | 15%libcublas-12.1.0.26 | 329.0 MB | ###8 | 11%libnpp-12.0.2.50 | 139.8 MB | ###### | 16%pytorch-2.2.1 | 1.35 GB | 6 | 2%libcusparse-12.0.2.5 | 163.0 MB | #####7 | 16%libnpp-12.0.2.50 | 139.8 MB | ######4 | 17%pytorch-2.2.1 | 1.35 GB | 6 | 2%cudatoolkit-11.8.0 | 630.7 MB | #9 | 5%libcusparse-12.0.2.5 | 163.0 MB | ######1 | 17%pytorch-2.2.1 | 1.35 GB | 7 | 2%libcublas-12.1.0.26 | 329.0 MB | ####2 | 11%cudatoolkit-11.8.0 | 630.7 MB | ## | 6%libcusparse-12.0.2.5 | 163.0 MB | ######4 | 17%pytorch-2.2.1 | 1.35 GB | 7 | 2%libcublas-12.1.0.26 | 329.0 MB | ####4 | 12%cudatoolkit-11.8.0 | 630.7 MB | ##1 | 6%libcusparse-12.0.2.5 | 163.0 MB | ######8 | 18%pytorch-2.2.1 | 1.35 GB | 7 | 2%libcublas-12.1.0.26 | 329.0 MB | ####5 | 12%cudatoolkit-11.8.0 | 630.7 MB | ##2 | 6%libcusparse-12.0.2.5 | 163.0 MB | #######2 | 19%pytorch-2.2.1 | 1.35 GB | 8 | 2%libcublas-12.1.0.26 | 329.0 MB | ####7 | 13%cudatoolkit-11.8.0 | 630.7 MB | ##3 | 6%libcusparse-12.0.2.5 | 163.0 MB | #######5 | 21%pytorch-2.2.1 | 1.35 GB | 8 | 2%libcublas-12.1.0.26 | 329.0 MB | ####8 | 13%cudatoolkit-11.8.0 | 630.7 MB | ##4 | 7%libcusparse-12.0.2.5 | 163.0 MB | #######9 | 22%pytorch-2.2.1 | 1.35 GB | 8 | 2%libcublas-12.1.0.26 | 329.0 MB | ##### | 14%cudatoolkit-11.8.0 | 630.7 MB | ##5 | 7%libcusparse-12.0.2.5 | 163.0 MB | ########3 | 23%pytorch-2.2.1 | 1.35 GB | 9 | 3%libcublas-12.1.0.26 | 329.0 MB | #####1 | 14%cudatoolkit-11.8.0 | 630.7 MB | ##6 | 7%libcusparse-12.0.2.5 | 163.0 MB | ########7 | 24%pytorch-2.2.1 | 1.35 GB | 9 | 3%libcublas-12.1.0.26 | 329.0 MB | #####3 | 14%cudatoolkit-11.8.0 | 630.7 MB | ##7 | 8%libcusparse-12.0.2.5 | 163.0 MB | ######### | 25%pytorch-2.2.1 | 1.35 GB | # | 3%libcublas-12.1.0.26 | 329.0 MB | #####5 | 15%cudatoolkit-11.8.0 | 630.7 MB | ##8 | 8%pytorch-2.2.1 | 1.35 GB | # | 3%libnpp-12.0.2.50 | 139.8 MB | ##########3 | 28%libcublas-12.1.0.26 | 329.0 MB | #####6 | 15%cudatoolkit-11.8.0 | 630.7 MB | ##9 | 8%libcusparse-12.0.2.5 | 163.0 MB | #########8 | 27%pytorch-2.2.1 | 1.35 GB | # | 3%libcublas-12.1.0.26 | 329.0 MB | #####8 | 16%cudatoolkit-11.8.0 | 630.7 MB | ### | 8%libcusparse-12.0.2.5 | 163.0 MB | ##########2 | 28%pytorch-2.2.1 | 1.35 GB | #1 | 3%libcublas-12.1.0.26 | 329.0 MB | ###### | 16%cudatoolkit-11.8.0 | 630.7 MB | ###1 | 9%pytorch-2.2.1 | 1.35 GB | #1 | 3%libnpp-12.0.2.50 | 139.8 MB | ###########5 | 31%libcublas-12.1.0.26 | 329.0 MB | ######1 | 17%cudatoolkit-11.8.0 | 630.7 MB | ###2 | 9%libcusparse-12.0.2.5 | 163.0 MB | ##########9 | 30%pytorch-2.2.1 | 1.35 GB | #2 | 3%libcublas-12.1.0.26 | 329.0 MB | ######3 | 17%cudatoolkit-11.8.0 | 630.7 MB | ###3 | 9%pytorch-2.2.1 | 1.35 GB | #2 | 3%libnpp-12.0.2.50 | 139.8 MB | ############2 | 33%libcublas-12.1.0.26 | 329.0 MB | ######4 | 18%cudatoolkit-11.8.0 | 630.7 MB | ###4 | 9%pytorch-2.2.1 | 1.35 GB | #2 | 3%libnpp-12.0.2.50 | 139.8 MB | ############6 | 34%libcublas-12.1.0.26 | 329.0 MB | ######6 | 18%cudatoolkit-11.8.0 | 630.7 MB | ###5 | 10%pytorch-2.2.1 | 1.35 GB | #3 | 4%libnpp-12.0.2.50 | 139.8 MB | ############# | 35%libcublas-12.1.0.26 | 329.0 MB | ######8 | 18%cudatoolkit-11.8.0 | 630.7 MB | ###6 | 10%pytorch-2.2.1 | 1.35 GB | #3 | 4%libcublas-12.1.0.26 | 329.0 MB | ######9 | 19%libnpp-12.0.2.50 | 139.8 MB | #############3 | 36%cudatoolkit-11.8.0 | 630.7 MB | ###7 | 10%libcusparse-12.0.2.5 | 163.0 MB | ############7 | 34%libcublas-12.1.0.26 | 329.0 MB | #######1 | 19%pytorch-2.2.1 | 1.35 GB | #3 | 4%cudatoolkit-11.8.0 | 630.7 MB | ###9 | 11%libcusparse-12.0.2.5 | 163.0 MB | #############1 | 35%libcublas-12.1.0.26 | 329.0 MB | #######3 | 20%pytorch-2.2.1 | 1.35 GB | #4 | 4%cudatoolkit-11.8.0 | 630.7 MB | #### | 11%libcusparse-12.0.2.5 | 163.0 MB | #############4 | 36%libnpp-12.0.2.50 | 139.8 MB | ##############4 | 39%pytorch-2.2.1 | 1.35 GB | #4 | 4%cudatoolkit-11.8.0 | 630.7 MB | ####1 | 11%libcusparse-12.0.2.5 | 163.0 MB | #############8 | 37%pytorch-2.2.1 | 1.35 GB | #5 | 4%libcublas-12.1.0.26 | 329.0 MB | #######6 | 21%cudatoolkit-11.8.0 | 630.7 MB | ####2 | 11%libcusparse-12.0.2.5 | 163.0 MB | ##############2 | 39%pytorch-2.2.1 | 1.35 GB | #5 | 4%libcublas-12.1.0.26 | 329.0 MB | #######8 | 21%cudatoolkit-11.8.0 | 630.7 MB | ####3 | 12%libcusparse-12.0.2.5 | 163.0 MB | ##############6 | 40%pytorch-2.2.1 | 1.35 GB | #5 | 4%libcublas-12.1.0.26 | 329.0 MB | #######9 | 22%cudatoolkit-11.8.0 | 630.7 MB | ####4 | 12%libcusparse-12.0.2.5 | 163.0 MB | ############### | 41%pytorch-2.2.1 | 1.35 GB | #6 | 4%libcublas-12.1.0.26 | 329.0 MB | ########1 | 22%cudatoolkit-11.8.0 | 630.7 MB | ####5 | 12%libcusparse-12.0.2.5 | 163.0 MB | ###############4 | 42%pytorch-2.2.1 | 1.35 GB | #6 | 5%libcublas-12.1.0.26 | 329.0 MB | ########2 | 22%cudatoolkit-11.8.0 | 630.7 MB | ####5 | 12%libcusparse-12.0.2.5 | 163.0 MB | ###############8 | 43%pytorch-2.2.1 | 1.35 GB | #7 | 5%libcublas-12.1.0.26 | 329.0 MB | ########4 | 23%libcusparse-12.0.2.5 | 163.0 MB | ################2 | 44%cudatoolkit-11.8.0 | 630.7 MB | ####6 | 13%pytorch-2.2.1 | 1.35 GB | #7 | 5%libcublas-12.1.0.26 | 329.0 MB | ########5 | 23%libcusparse-12.0.2.5 | 163.0 MB | ################6 | 45%pytorch-2.2.1 | 1.35 GB | #7 | 5%libnpp-12.0.2.50 | 139.8 MB | #################5 | 48%libcublas-12.1.0.26 | 329.0 MB | ########7 | 24%libcusparse-12.0.2.5 | 163.0 MB | ################# | 46%pytorch-2.2.1 | 1.35 GB | #8 | 5%libnpp-12.0.2.50 | 139.8 MB | #################9 | 49%libcublas-12.1.0.26 | 329.0 MB | ########8 | 24%libcusparse-12.0.2.5 | 163.0 MB | #################4 | 47%pytorch-2.2.1 | 1.35 GB | #8 | 5%libnpp-12.0.2.50 | 139.8 MB | ##################3 | 50%libcublas-12.1.0.26 | 329.0 MB | ######### | 24%cudatoolkit-11.8.0 | 630.7 MB | ##### | 14%pytorch-2.2.1 | 1.35 GB | #9 | 5%libnpp-12.0.2.50 | 139.8 MB | ##################7 | 51%libcublas-12.1.0.26 | 329.0 MB | #########1 | 25%cudatoolkit-11.8.0 | 630.7 MB | #####1 | 14%pytorch-2.2.1 | 1.35 GB | #9 | 5%libnpp-12.0.2.50 | 139.8 MB | ###################1 | 52%libcublas-12.1.0.26 | 329.0 MB | #########3 | 25%cudatoolkit-11.8.0 | 630.7 MB | #####2 | 14%pytorch-2.2.1 | 1.35 GB | ## | 5%libnpp-12.0.2.50 | 139.8 MB | ###################6 | 53%libcublas-12.1.0.26 | 329.0 MB | #########5 | 26%pytorch-2.2.1 | 1.35 GB | ## | 6%libnpp-12.0.2.50 | 139.8 MB | #################### | 54%libcusparse-12.0.2.5 | 163.0 MB | ##################9 | 51%libcublas-12.1.0.26 | 329.0 MB | #########6 | 26%pytorch-2.2.1 | 1.35 GB | ## | 6%libnpp-12.0.2.50 | 139.8 MB | ####################4 | 55%libcusparse-12.0.2.5 | 163.0 MB | ###################2 | 52%libcublas-12.1.0.26 | 329.0 MB | #########8 | 27%pytorch-2.2.1 | 1.35 GB | ##1 | 6%libnpp-12.0.2.50 | 139.8 MB | ####################9 | 57%libcusparse-12.0.2.5 | 163.0 MB | ###################6 | 53%pytorch-2.2.1 | 1.35 GB | ##1 | 6%cudatoolkit-11.8.0 | 630.7 MB | #####5 | 15%libnpp-12.0.2.50 | 139.8 MB | #####################3 | 58%libcusparse-12.0.2.5 | 163.0 MB | ###################9 | 54%pytorch-2.2.1 | 1.35 GB | ##2 | 6%libnpp-12.0.2.50 | 139.8 MB | #####################8 | 59%cudatoolkit-11.8.0 | 630.7 MB | #####6 | 15%libcublas-12.1.0.26 | 329.0 MB | ##########3 | 28%libcusparse-12.0.2.5 | 163.0 MB | ####################2 | 55%pytorch-2.2.1 | 1.35 GB | ##2 | 6%cudatoolkit-11.8.0 | 630.7 MB | #####6 | 15%libcusparse-12.0.2.5 | 163.0 MB | ####################6 | 56%libcublas-12.1.0.26 | 329.0 MB | ##########4 | 28%libnpp-12.0.2.50 | 139.8 MB | ######################8 | 62%pytorch-2.2.1 | 1.35 GB | ##3 | 6%libcusparse-12.0.2.5 | 163.0 MB | ####################9 | 57%libcublas-12.1.0.26 | 329.0 MB | ##########6 | 29%libnpp-12.0.2.50 | 139.8 MB | #######################2 | 63%pytorch-2.2.1 | 1.35 GB | ##3 | 6%libcusparse-12.0.2.5 | 163.0 MB | #####################2 | 58%libcublas-12.1.0.26 | 329.0 MB | ##########8 | 29%pytorch-2.2.1 | 1.35 GB | ##4 | 7%cudatoolkit-11.8.0 | 630.7 MB | #####9 | 16%libcusparse-12.0.2.5 | 163.0 MB | #####################6 | 58%libcublas-12.1.0.26 | 329.0 MB | ##########9 | 30%pytorch-2.2.1 | 1.35 GB | ##4 | 7%cudatoolkit-11.8.0 | 630.7 MB | #####9 | 16%libcusparse-12.0.2.5 | 163.0 MB | #####################9 | 59%libcublas-12.1.0.26 | 329.0 MB | ###########1 | 30%libnpp-12.0.2.50 | 139.8 MB | ########################7 | 67%libcusparse-12.0.2.5 | 163.0 MB | ######################3 | 60%cudatoolkit-11.8.0 | 630.7 MB | ###### | 16%pytorch-2.2.1 | 1.35 GB | ##4 | 7%libnpp-12.0.2.50 | 139.8 MB | #########################2 | 68%libcusparse-12.0.2.5 | 163.0 MB | ######################7 | 61%cudatoolkit-11.8.0 | 630.7 MB | ######1 | 17%libcublas-12.1.0.26 | 329.0 MB | ###########5 | 31%pytorch-2.2.1 | 1.35 GB | ##5 | 7%libcusparse-12.0.2.5 | 163.0 MB | ####################### | 62%cudatoolkit-11.8.0 | 630.7 MB | ######2 | 17%pytorch-2.2.1 | 1.35 GB | ##5 | 7%libnpp-12.0.2.50 | 139.8 MB | ##########################2 | 71%cudatoolkit-11.8.0 | 630.7 MB | ######3 | 17%libcublas-12.1.0.26 | 329.0 MB | ###########9 | 32%pytorch-2.2.1 | 1.35 GB | ##5 | 7%libnpp-12.0.2.50 | 139.8 MB | ##########################7 | 72%cudatoolkit-11.8.0 | 630.7 MB | ######3 | 17%libcublas-12.1.0.26 | 329.0 MB | ############1 | 33%pytorch-2.2.1 | 1.35 GB | ##6 | 7%libnpp-12.0.2.50 | 139.8 MB | ###########################2 | 74%cudatoolkit-11.8.0 | 630.7 MB | ######4 | 17%libcublas-12.1.0.26 | 329.0 MB | ############3 | 33%pytorch-2.2.1 | 1.35 GB | ##6 | 7%libnpp-12.0.2.50 | 139.8 MB | ###########################6 | 75%libcublas-12.1.0.26 | 329.0 MB | ############5 | 34%cudatoolkit-11.8.0 | 630.7 MB | ######5 | 18%pytorch-2.2.1 | 1.35 GB | ##6 | 7%libnpp-12.0.2.50 | 139.8 MB | ############################1 | 76%libcublas-12.1.0.26 | 329.0 MB | ############7 | 34%cudatoolkit-11.8.0 | 630.7 MB | ######5 | 18%pytorch-2.2.1 | 1.35 GB | ##7 | 7%libnpp-12.0.2.50 | 139.8 MB | ############################6 | 77%libcublas-12.1.0.26 | 329.0 MB | ############9 | 35%cudatoolkit-11.8.0 | 630.7 MB | ######6 | 18%pytorch-2.2.1 | 1.35 GB | ##7 | 8%libnpp-12.0.2.50 | 139.8 MB | #############################1 | 79%libcublas-12.1.0.26 | 329.0 MB | #############1 | 35%cudatoolkit-11.8.0 | 630.7 MB | ######7 | 18%pytorch-2.2.1 | 1.35 GB | ##8 | 8%libnpp-12.0.2.50 | 139.8 MB | #############################6 | 80%libcublas-12.1.0.26 | 329.0 MB | #############3 | 36%cudatoolkit-11.8.0 | 630.7 MB | ######8 | 18%pytorch-2.2.1 | 1.35 GB | ##8 | 8%libnpp-12.0.2.50 | 139.8 MB | ##############################1 | 81%libcublas-12.1.0.26 | 329.0 MB | #############4 | 36%libcusparse-12.0.2.5 | 163.0 MB | ########################## | 70%pytorch-2.2.1 | 1.35 GB | ##8 | 8%libnpp-12.0.2.50 | 139.8 MB | ##############################6 | 83%libcublas-12.1.0.26 | 329.0 MB | #############6 | 37%cudatoolkit-11.8.0 | 630.7 MB | ######9 | 19%pytorch-2.2.1 | 1.35 GB | ##9 | 8%libnpp-12.0.2.50 | 139.8 MB | ###############################1 | 84%libcublas-12.1.0.26 | 329.0 MB | #############8 | 38%cudatoolkit-11.8.0 | 630.7 MB | ####### | 19%pytorch-2.2.1 | 1.35 GB | ##9 | 8%libnpp-12.0.2.50 | 139.8 MB | ###############################6 | 85%libcublas-12.1.0.26 | 329.0 MB | ############## | 38%cudatoolkit-11.8.0 | 630.7 MB | ####### | 19%pytorch-2.2.1 | 1.35 GB | ### | 8%libnpp-12.0.2.50 | 139.8 MB | ################################1 | 87%libcublas-12.1.0.26 | 329.0 MB | ##############2 | 39%cudatoolkit-11.8.0 | 630.7 MB | #######1 | 19%pytorch-2.2.1 | 1.35 GB | ### | 8%libnpp-12.0.2.50 | 139.8 MB | ################################6 | 88%libcublas-12.1.0.26 | 329.0 MB | ##############4 | 39%cudatoolkit-11.8.0 | 630.7 MB | #######2 | 19%pytorch-2.2.1 | 1.35 GB | ###1 | 8%libnpp-12.0.2.50 | 139.8 MB | #################################1 | 89%libcublas-12.1.0.26 | 329.0 MB | ##############6 | 40%cudatoolkit-11.8.0 | 630.7 MB | #######2 | 20%pytorch-2.2.1 | 1.35 GB | ###1 | 8%libnpp-12.0.2.50 | 139.8 MB | #################################6 | 91%libcublas-12.1.0.26 | 329.0 MB | ##############8 | 40%pytorch-2.2.1 | 1.35 GB | ###1 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######3 | 20%libnpp-12.0.2.50 | 139.8 MB | ##################################1 | 92%libcublas-12.1.0.26 | 329.0 MB | ############### | 41%pytorch-2.2.1 | 1.35 GB | ###2 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######3 | 20%libnpp-12.0.2.50 | 139.8 MB | ##################################6 | 94%libcublas-12.1.0.26 | 329.0 MB | ###############2 | 41%libcusparse-12.0.2.5 | 163.0 MB | ############################8 | 78%pytorch-2.2.1 | 1.35 GB | ###2 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######4 | 20%libcublas-12.1.0.26 | 329.0 MB | ###############3 | 42%libcusparse-12.0.2.5 | 163.0 MB | #############################1 | 79%pytorch-2.2.1 | 1.35 GB | ###3 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######5 | 20%libcublas-12.1.0.26 | 329.0 MB | ###############5 | 42%libcusparse-12.0.2.5 | 163.0 MB | #############################4 | 80%pytorch-2.2.1 | 1.35 GB | ###3 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######5 | 20%libcublas-12.1.0.26 | 329.0 MB | ###############7 | 42%libcusparse-12.0.2.5 | 163.0 MB | #############################7 | 80%pytorch-2.2.1 | 1.35 GB | ###3 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######6 | 21%libcublas-12.1.0.26 | 329.0 MB | ###############8 | 43%pytorch-2.2.1 | 1.35 GB | ###4 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######7 | 21%libcublas-12.1.0.26 | 329.0 MB | ################1 | 44%pytorch-2.2.1 | 1.35 GB | ###4 | 9%cudatoolkit-11.8.0 | 630.7 MB | #######8 | 21%libcublas-12.1.0.26 | 329.0 MB | ################3 | 44%pytorch-2.2.1 | 1.35 GB | ###5 | 10%cudatoolkit-11.8.0 | 630.7 MB | #######9 | 21%libcufft-11.0.2.4 | 102.9 MB | | 0%libcublas-12.1.0.26 | 329.0 MB | ################5 | 45%pytorch-2.2.1 | 1.35 GB | ###6 | 10%cudatoolkit-11.8.0 | 630.7 MB | ######## | 22%libcufft-11.0.2.4 | 102.9 MB | 5 | 1%libcublas-12.1.0.26 | 329.0 MB | ################7 | 45%pytorch-2.2.1 | 1.35 GB | ###6 | 10%cudatoolkit-11.8.0 | 630.7 MB | ######## | 22%libcufft-11.0.2.4 | 102.9 MB | #1 | 3%libcublas-12.1.0.26 | 329.0 MB | ################8 | 46%pytorch-2.2.1 | 1.35 GB | ###7 | 10%cudatoolkit-11.8.0 | 630.7 MB | ########1 | 22%libcufft-11.0.2.4 | 102.9 MB | #6 | 5%libcublas-12.1.0.26 | 329.0 MB | ################# | 46%pytorch-2.2.1 | 1.35 GB | ###7 | 10%libcufft-11.0.2.4 | 102.9 MB | ##2 | 6%cudatoolkit-11.8.0 | 630.7 MB | ########2 | 22%libcublas-12.1.0.26 | 329.0 MB | #################2 | 47%pytorch-2.2.1 | 1.35 GB | ###8 | 10%libcufft-11.0.2.4 | 102.9 MB | ##8 | 8%cudatoolkit-11.8.0 | 630.7 MB | ########3 | 23%libcusparse-12.0.2.5 | 163.0 MB | ################################7 | 89%pytorch-2.2.1 | 1.35 GB | ###8 | 10%libcufft-11.0.2.4 | 102.9 MB | ###4 | 9%pytorch-2.2.1 | 1.35 GB | ###9 | 11%pytorch-2.2.1 | 1.35 GB | #### | 11%cudatoolkit-11.8.0 | 630.7 MB | ########4 | 23%libcublas-12.1.0.26 | 329.0 MB | ##################5 | 50%pytorch-2.2.1 | 1.35 GB | ####1 | 11%libcufft-11.0.2.4 | 102.9 MB | ###9 | 11%cudatoolkit-11.8.0 | 630.7 MB | ########4 | 23%pytorch-2.2.1 | 1.35 GB | ####1 | 11%libcusparse-12.0.2.5 | 163.0 MB | #################################3 | 90%libcufft-11.0.2.4 | 102.9 MB | ####4 | 12%cudatoolkit-11.8.0 | 630.7 MB | ########5 | 23%libcublas-12.1.0.26 | 329.0 MB | ###################2 | 52%libcusparse-12.0.2.5 | 163.0 MB | #################################5 | 91%cudatoolkit-11.8.0 | 630.7 MB | ########6 | 23%pytorch-2.2.1 | 1.35 GB | ####2 | 11%libcublas-12.1.0.26 | 329.0 MB | ###################5 | 53%libcusparse-12.0.2.5 | 163.0 MB | #################################8 | 91%cudatoolkit-11.8.0 | 630.7 MB | ########6 | 23%pytorch-2.2.1 | 1.35 GB | ####2 | 12%libcublas-12.1.0.26 | 329.0 MB | ###################8 | 54%libcusparse-12.0.2.5 | 163.0 MB | ################################## | 92%cudatoolkit-11.8.0 | 630.7 MB | ########7 | 24%pytorch-2.2.1 | 1.35 GB | ####3 | 12%libcublas-12.1.0.26 | 329.0 MB | ####################1 | 55%libcusparse-12.0.2.5 | 163.0 MB | ##################################3 | 93%pytorch-2.2.1 | 1.35 GB | ####3 | 12%libcublas-12.1.0.26 | 329.0 MB | ####################4 | 55%libcusparse-12.0.2.5 | 163.0 MB | ##################################5 | 93%cudatoolkit-11.8.0 | 630.7 MB | ########9 | 24%pytorch-2.2.1 | 1.35 GB | ####4 | 12%libcusparse-12.0.2.5 | 163.0 MB | ##################################8 | 94%libcublas-12.1.0.26 | 329.0 MB | ####################7 | 56%cudatoolkit-11.8.0 | 630.7 MB | ######### | 24%libcufft-11.0.2.4 | 102.9 MB | ######7 | 18%pytorch-2.2.1 | 1.35 GB | ####4 | 12%cudatoolkit-11.8.0 | 630.7 MB | #########1 | 25%libcufft-11.0.2.4 | 102.9 MB | #######1 | 19%libcublas-12.1.0.26 | 329.0 MB | ##################### | 57%pytorch-2.2.1 | 1.35 GB | ####5 | 12%cudatoolkit-11.8.0 | 630.7 MB | #########2 | 25%libcufft-11.0.2.4 | 102.9 MB | #######5 | 20%libcublas-12.1.0.26 | 329.0 MB | #####################2 | 57%pytorch-2.2.1 | 1.35 GB | ####5 | 12%cudatoolkit-11.8.0 | 630.7 MB | #########3 | 25%libcufft-11.0.2.4 | 102.9 MB | #######9 | 21%pytorch-2.2.1 | 1.35 GB | ####6 | 13%libcublas-12.1.0.26 | 329.0 MB | #####################4 | 58%cudatoolkit-11.8.0 | 630.7 MB | #########4 | 26%libcufft-11.0.2.4 | 102.9 MB | ########2 | 22%libcusparse-12.0.2.5 | 163.0 MB | ####################################5 | 99%pytorch-2.2.1 | 1.35 GB | ####6 | 13%libcublas-12.1.0.26 | 329.0 MB | #####################6 | 59%libcufft-11.0.2.4 | 102.9 MB | ########6 | 23%libcusparse-12.0.2.5 | 163.0 MB | ####################################9 | 100%pytorch-2.2.1 | 1.35 GB | ####7 | 13%libcufft-11.0.2.4 | 102.9 MB | #########1 | 25%libcublas-12.1.0.26 | 329.0 MB | #####################8 | 59%cudatoolkit-11.8.0 | 630.7 MB | #########8 | 27%pytorch-2.2.1 | 1.35 GB | ####7 | 13%libcublas-12.1.0.26 | 329.0 MB | ###################### | 60%cudatoolkit-11.8.0 | 630.7 MB | ########## | 27%pytorch-2.2.1 | 1.35 GB | ####7 | 13%libcublas-12.1.0.26 | 329.0 MB | ######################2 | 60%libcusolver-11.4.4.5 | 98.3 MB | | 0%cudatoolkit-11.8.0 | 630.7 MB | ##########1 | 27%pytorch-2.2.1 | 1.35 GB | ####8 | 13%libcublas-12.1.0.26 | 329.0 MB | ######################4 | 61%libcusolver-11.4.4.5 | 98.3 MB | 5 | 2%cudatoolkit-11.8.0 | 630.7 MB | ##########3 | 28%pytorch-2.2.1 | 1.35 GB | ####8 | 13%libcusolver-11.4.4.5 | 98.3 MB | #1 | 3%libcublas-12.1.0.26 | 329.0 MB | ######################6 | 61%cudatoolkit-11.8.0 | 630.7 MB | ##########4 | 28%libcufft-11.0.2.4 | 102.9 MB | ###########7 | 32%libcusolver-11.4.4.5 | 98.3 MB | #9 | 5%pytorch-2.2.1 | 1.35 GB | ####9 | 13%libcublas-12.1.0.26 | 329.0 MB | ######################7 | 62%libcusolver-11.4.4.5 | 98.3 MB | ##8 | 8%libcufft-11.0.2.4 | 102.9 MB | ############1 | 33%pytorch-2.2.1 | 1.35 GB | ####9 | 13%libcublas-12.1.0.26 | 329.0 MB | ######################9 | 62%libcusolver-11.4.4.5 | 98.3 MB | ###7 | 10%cudatoolkit-11.8.0 | 630.7 MB | ##########8 | 29%pytorch-2.2.1 | 1.35 GB | ####9 | 13%libcusolver-11.4.4.5 | 98.3 MB | ####5 | 12%libcublas-12.1.0.26 | 329.0 MB | ####################### | 62%cudatoolkit-11.8.0 | 630.7 MB | ########### | 30%pytorch-2.2.1 | 1.35 GB | ####9 | 14%libcusolver-11.4.4.5 | 98.3 MB | #####5 | 15%libcublas-12.1.0.26 | 329.0 MB | #######################2 | 63%cudatoolkit-11.8.0 | 630.7 MB | ###########1 | 30%pytorch-2.2.1 | 1.35 GB | ##### | 14%libcusolver-11.4.4.5 | 98.3 MB | ######4 | 17%cudatoolkit-11.8.0 | 630.7 MB | ###########2 | 31%pytorch-2.2.1 | 1.35 GB | ##### | 14%libcusolver-11.4.4.5 | 98.3 MB | #######3 | 20%libcufft-11.0.2.4 | 102.9 MB | #############6 | 37%cudatoolkit-11.8.0 | 630.7 MB | ###########4 | 31%pytorch-2.2.1 | 1.35 GB | ##### | 14%libcusolver-11.4.4.5 | 98.3 MB | ########2 | 22%libcufft-11.0.2.4 | 102.9 MB | ############## | 38%cudatoolkit-11.8.0 | 630.7 MB | ###########5 | 31%libcublas-12.1.0.26 | 329.0 MB | #######################5 | 64%pytorch-2.2.1 | 1.35 GB | #####1 | 14%libcufft-11.0.2.4 | 102.9 MB | ##############3 | 39%cudatoolkit-11.8.0 | 630.7 MB | ###########7 | 32%libcublas-12.1.0.26 | 329.0 MB | #######################6 | 64%pytorch-2.2.1 | 1.35 GB | #####1 | 14%libcufft-11.0.2.4 | 102.9 MB | ##############6 | 40%cudatoolkit-11.8.0 | 630.7 MB | ###########9 | 32%libcublas-12.1.0.26 | 329.0 MB | #######################7 | 64%pytorch-2.2.1 | 1.35 GB | #####1 | 14%libcufft-11.0.2.4 | 102.9 MB | ##############9 | 40%cudatoolkit-11.8.0 | 630.7 MB | ############ | 33%libcublas-12.1.0.26 | 329.0 MB | #######################8 | 65%pytorch-2.2.1 | 1.35 GB | #####1 | 14%cudatoolkit-11.8.0 | 630.7 MB | ############2 | 33%libcufft-11.0.2.4 | 102.9 MB | ###############2 | 41%libcusolver-11.4.4.5 | 98.3 MB | ############5 | 34%libcublas-12.1.0.26 | 329.0 MB | #######################9 | 65%pytorch-2.2.1 | 1.35 GB | #####2 | 14%libcufft-11.0.2.4 | 102.9 MB | ###############5 | 42%libcusolver-11.4.4.5 | 98.3 MB | #############3 | 36%cudatoolkit-11.8.0 | 630.7 MB | ############5 | 34%pytorch-2.2.1 | 1.35 GB | #####2 | 14%libcufft-11.0.2.4 | 102.9 MB | ###############8 | 43%libcusolver-11.4.4.5 | 98.3 MB | ##############2 | 38%cudatoolkit-11.8.0 | 630.7 MB | ############7 | 35%pytorch-2.2.1 | 1.35 GB | #####2 | 14%libcufft-11.0.2.4 | 102.9 MB | ################1 | 44%cudatoolkit-11.8.0 | 630.7 MB | ############9 | 35%libcusolver-11.4.4.5 | 98.3 MB | ############### | 41%pytorch-2.2.1 | 1.35 GB | #####2 | 14%libcufft-11.0.2.4 | 102.9 MB | ################3 | 44%cudatoolkit-11.8.0 | 630.7 MB | #############1 | 36%libcusolver-11.4.4.5 | 98.3 MB | ###############8 | 43%pytorch-2.2.1 | 1.35 GB | #####3 | 14%libcufft-11.0.2.4 | 102.9 MB | ################6 | 45%cudatoolkit-11.8.0 | 630.7 MB | #############3 | 36%pytorch-2.2.1 | 1.35 GB | #####3 | 14%libcublas-12.1.0.26 | 329.0 MB | ########################4 | 66%libcufft-11.0.2.4 | 102.9 MB | ################9 | 46%libcusolver-11.4.4.5 | 98.3 MB | #################3 | 47%pytorch-2.2.1 | 1.35 GB | #####3 | 14%libcublas-12.1.0.26 | 329.0 MB | ########################5 | 66%libcufft-11.0.2.4 | 102.9 MB | #################2 | 47%libcusolver-11.4.4.5 | 98.3 MB | ##################1 | 49%pytorch-2.2.1 | 1.35 GB | #####3 | 15%libcublas-12.1.0.26 | 329.0 MB | ########################6 | 67%libcufft-11.0.2.4 | 102.9 MB | #################6 | 48%pytorch-2.2.1 | 1.35 GB | #####4 | 15%cudatoolkit-11.8.0 | 630.7 MB | #############8 | 37%libcublas-12.1.0.26 | 329.0 MB | ########################7 | 67%libcufft-11.0.2.4 | 102.9 MB | #################9 | 48%pytorch-2.2.1 | 1.35 GB | #####4 | 15%libcublas-12.1.0.26 | 329.0 MB | ########################8 | 67%cudatoolkit-11.8.0 | 630.7 MB | ############## | 38%libcufft-11.0.2.4 | 102.9 MB | ##################2 | 49%pytorch-2.2.1 | 1.35 GB | #####4 | 15%libcublas-12.1.0.26 | 329.0 MB | ########################9 | 67%cudatoolkit-11.8.0 | 630.7 MB | ##############1 | 38%libcufft-11.0.2.4 | 102.9 MB | ##################5 | 50%pytorch-2.2.1 | 1.35 GB | #####5 | 15%libcublas-12.1.0.26 | 329.0 MB | ######################### | 68%cudatoolkit-11.8.0 | 630.7 MB | ##############3 | 39%libcufft-11.0.2.4 | 102.9 MB | ##################8 | 51%pytorch-2.2.1 | 1.35 GB | #####5 | 15%libcublas-12.1.0.26 | 329.0 MB | #########################1 | 68%cudatoolkit-11.8.0 | 630.7 MB | ##############4 | 39%libcufft-11.0.2.4 | 102.9 MB | ###################1 | 52%pytorch-2.2.1 | 1.35 GB | #####5 | 15%libcublas-12.1.0.26 | 329.0 MB | #########################2 | 68%cudatoolkit-11.8.0 | 630.7 MB | ##############6 | 40%libcufft-11.0.2.4 | 102.9 MB | ###################4 | 52%libcusolver-11.4.4.5 | 98.3 MB | #######################9 | 65%pytorch-2.2.1 | 1.35 GB | #####5 | 15%cudatoolkit-11.8.0 | 630.7 MB | ##############7 | 40%libcufft-11.0.2.4 | 102.9 MB | ###################7 | 53%libcusolver-11.4.4.5 | 98.3 MB | ########################8 | 67%pytorch-2.2.1 | 1.35 GB | #####6 | 15%cudatoolkit-11.8.0 | 630.7 MB | ##############9 | 40%libcufft-11.0.2.4 | 102.9 MB | #################### | 54%libcublas-12.1.0.26 | 329.0 MB | #########################5 | 69%pytorch-2.2.1 | 1.35 GB | #####6 | 15%cudatoolkit-11.8.0 | 630.7 MB | ############### | 41%libcufft-11.0.2.4 | 102.9 MB | ####################3 | 55%pytorch-2.2.1 | 1.35 GB | #####6 | 15%libcusolver-11.4.4.5 | 98.3 MB | ##########################4 | 72%cudatoolkit-11.8.0 | 630.7 MB | ###############2 | 41%libcufft-11.0.2.4 | 102.9 MB | ####################6 | 56%pytorch-2.2.1 | 1.35 GB | #####7 | 15%libcusolver-11.4.4.5 | 98.3 MB | ###########################2 | 74%cudatoolkit-11.8.0 | 630.7 MB | ###############4 | 42%libcufft-11.0.2.4 | 102.9 MB | ####################9 | 57%pytorch-2.2.1 | 1.35 GB | #####7 | 16%cudatoolkit-11.8.0 | 630.7 MB | ###############5 | 42%libcusolver-11.4.4.5 | 98.3 MB | ###########################9 | 76%libcufft-11.0.2.4 | 102.9 MB | #####################2 | 58%pytorch-2.2.1 | 1.35 GB | #####7 | 16%cudatoolkit-11.8.0 | 630.7 MB | ###############7 | 42%libcusolver-11.4.4.5 | 98.3 MB | ############################7 | 78%libcufft-11.0.2.4 | 102.9 MB | #####################6 | 58%pytorch-2.2.1 | 1.35 GB | #####8 | 16%cudatoolkit-11.8.0 | 630.7 MB | ###############8 | 43%libcusolver-11.4.4.5 | 98.3 MB | #############################4 | 80%libcufft-11.0.2.4 | 102.9 MB | #####################9 | 59%pytorch-2.2.1 | 1.35 GB | #####8 | 16%cudatoolkit-11.8.0 | 630.7 MB | ################ | 43%libcusolver-11.4.4.5 | 98.3 MB | ##############################2 | 82%libcufft-11.0.2.4 | 102.9 MB | ######################2 | 60%pytorch-2.2.1 | 1.35 GB | #####8 | 16%cudatoolkit-11.8.0 | 630.7 MB | ################1 | 44%libcusolver-11.4.4.5 | 98.3 MB | ##############################9 | 84%libcufft-11.0.2.4 | 102.9 MB | ######################6 | 61%pytorch-2.2.1 | 1.35 GB | #####9 | 16%cudatoolkit-11.8.0 | 630.7 MB | ################3 | 44%libcusolver-11.4.4.5 | 98.3 MB | ###############################6 | 86%libcufft-11.0.2.4 | 102.9 MB | ####################### | 62%pytorch-2.2.1 | 1.35 GB | #####9 | 16%libcusolver-11.4.4.5 | 98.3 MB | ################################4 | 88%cudatoolkit-11.8.0 | 630.7 MB | ################4 | 45%libcufft-11.0.2.4 | 102.9 MB | #######################4 | 63%pytorch-2.2.1 | 1.35 GB | #####9 | 16%libcusolver-11.4.4.5 | 98.3 MB | #################################1 | 90%cudatoolkit-11.8.0 | 630.7 MB | ################6 | 45%pytorch-2.2.1 | 1.35 GB | #####9 | 16%libcusolver-11.4.4.5 | 98.3 MB | #################################8 | 92%cudatoolkit-11.8.0 | 630.7 MB | ################7 | 45%libcufft-11.0.2.4 | 102.9 MB | ########################4 | 66%pytorch-2.2.1 | 1.35 GB | ###### | 16%libcusolver-11.4.4.5 | 98.3 MB | ##################################6 | 94%cudatoolkit-11.8.0 | 630.7 MB | ################8 | 46%libcufft-11.0.2.4 | 102.9 MB | ########################9 | 67%libcublas-12.1.0.26 | 329.0 MB | ##########################8 | 72%pytorch-2.2.1 | 1.35 GB | ###### | 16%libcufft-11.0.2.4 | 102.9 MB | #########################4 | 69%cudatoolkit-11.8.0 | 630.7 MB | ################# | 46%libcublas-12.1.0.26 | 329.0 MB | ##########################9 | 73%pytorch-2.2.1 | 1.35 GB | ###### | 16%cudatoolkit-11.8.0 | 630.7 MB | #################1 | 46%libcufft-11.0.2.4 | 102.9 MB | #########################9 | 70%libcublas-12.1.0.26 | 329.0 MB | ########################### | 73%libcusolver-11.4.4.5 | 98.3 MB | ####################################8 | 100%pytorch-2.2.1 | 1.35 GB | ######1 | 17%libcufft-11.0.2.4 | 102.9 MB | ##########################4 | 71%libcublas-12.1.0.26 | 329.0 MB | ###########################1 | 73%pytorch-2.2.1 | 1.35 GB | ######1 | 17%libcufft-11.0.2.4 | 102.9 MB | ########################### | 73%libcublas-12.1.0.26 | 329.0 MB | ###########################2 | 74%pytorch-2.2.1 | 1.35 GB | ######1 | 17%libcufft-11.0.2.4 | 102.9 MB | ###########################6 | 75%libcublas-12.1.0.26 | 329.0 MB | ###########################3 | 74%libcurand-10.3.5.119 | 51.8 MB | | 0%pytorch-2.2.1 | 1.35 GB | ######2 | 17%libcufft-11.0.2.4 | 102.9 MB | ############################1 | 76%libcublas-12.1.0.26 | 329.0 MB | ###########################4 | 74%libcurand-10.3.5.119 | 51.8 MB | #1 | 3%pytorch-2.2.1 | 1.35 GB | ######2 | 17%libcublas-12.1.0.26 | 329.0 MB | ###########################6 | 75%libcufft-11.0.2.4 | 102.9 MB | ############################6 | 77%libcurand-10.3.5.119 | 51.8 MB | ##2 | 6%pytorch-2.2.1 | 1.35 GB | ######2 | 17%libcublas-12.1.0.26 | 329.0 MB | ###########################7 | 75%libcufft-11.0.2.4 | 102.9 MB | #############################1 | 79%pytorch-2.2.1 | 1.35 GB | ######3 | 17%cudatoolkit-11.8.0 | 630.7 MB | ##################3 | 50%libcublas-12.1.0.26 | 329.0 MB | ###########################8 | 75%libcurand-10.3.5.119 | 51.8 MB | ####9 | 13%libcufft-11.0.2.4 | 102.9 MB | #############################6 | 80%pytorch-2.2.1 | 1.35 GB | ######3 | 17%libcublas-12.1.0.26 | 329.0 MB | ###########################9 | 76%libcurand-10.3.5.119 | 51.8 MB | ######3 | 17%libcufft-11.0.2.4 | 102.9 MB | ############################## | 81%pytorch-2.2.1 | 1.35 GB | ######3 | 17%libcublas-12.1.0.26 | 329.0 MB | ############################1 | 76%libcurand-10.3.5.119 | 51.8 MB | #######8 | 21%cudatoolkit-11.8.0 | 630.7 MB | ##################8 | 51%libcufft-11.0.2.4 | 102.9 MB | ##############################4 | 82%pytorch-2.2.1 | 1.35 GB | ######4 | 17%libcublas-12.1.0.26 | 329.0 MB | ############################2 | 76%cudatoolkit-11.8.0 | 630.7 MB | ##################9 | 51%libcurand-10.3.5.119 | 51.8 MB | ##########9 | 30%pytorch-2.2.1 | 1.35 GB | ######4 | 17%libcufft-11.0.2.4 | 102.9 MB | ##############################7 | 83%cudatoolkit-11.8.0 | 630.7 MB | ###################1 | 52%libcurand-10.3.5.119 | 51.8 MB | ############5 | 34%libcublas-12.1.0.26 | 329.0 MB | ############################4 | 77%pytorch-2.2.1 | 1.35 GB | ######4 | 17%cudatoolkit-11.8.0 | 630.7 MB | ###################3 | 52%libcurand-10.3.5.119 | 51.8 MB | ##############1 | 38%libcublas-12.1.0.26 | 329.0 MB | ############################5 | 77%cudatoolkit-11.8.0 | 630.7 MB | ###################4 | 53%pytorch-2.2.1 | 1.35 GB | ######4 | 18%libcurand-10.3.5.119 | 51.8 MB | ###############7 | 43%libcublas-12.1.0.26 | 329.0 MB | ############################6 | 77%cudatoolkit-11.8.0 | 630.7 MB | ###################6 | 53%pytorch-2.2.1 | 1.35 GB | ######5 | 18%libcurand-10.3.5.119 | 51.8 MB | #################3 | 47%libcublas-12.1.0.26 | 329.0 MB | ############################7 | 78%cudatoolkit-11.8.0 | 630.7 MB | ###################8 | 54%pytorch-2.2.1 | 1.35 GB | ######5 | 18%libcurand-10.3.5.119 | 51.8 MB | ##################9 | 51%libcublas-12.1.0.26 | 329.0 MB | ############################8 | 78%cudatoolkit-11.8.0 | 630.7 MB | ###################9 | 54%pytorch-2.2.1 | 1.35 GB | ######5 | 18%libcurand-10.3.5.119 | 51.8 MB | ####################5 | 56%libcublas-12.1.0.26 | 329.0 MB | ############################9 | 78%cudatoolkit-11.8.0 | 630.7 MB | ####################1 | 54%libcufft-11.0.2.4 | 102.9 MB | ################################6 | 88%pytorch-2.2.1 | 1.35 GB | ######5 | 18%libcublas-12.1.0.26 | 329.0 MB | ############################# | 79%cudatoolkit-11.8.0 | 630.7 MB | ####################2 | 55%libcufft-11.0.2.4 | 102.9 MB | ################################9 | 89%pytorch-2.2.1 | 1.35 GB | ######6 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################1 | 79%cudatoolkit-11.8.0 | 630.7 MB | ####################4 | 55%libcufft-11.0.2.4 | 102.9 MB | #################################2 | 90%pytorch-2.2.1 | 1.35 GB | ######6 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################2 | 79%cudatoolkit-11.8.0 | 630.7 MB | ####################6 | 56%libcufft-11.0.2.4 | 102.9 MB | #################################6 | 91%pytorch-2.2.1 | 1.35 GB | ######6 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################3 | 79%libcufft-11.0.2.4 | 102.9 MB | #################################9 | 92%cudatoolkit-11.8.0 | 630.7 MB | ####################7 | 56%pytorch-2.2.1 | 1.35 GB | ######6 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################4 | 80%libcufft-11.0.2.4 | 102.9 MB | ##################################2 | 93%cudatoolkit-11.8.0 | 630.7 MB | ####################9 | 57%pytorch-2.2.1 | 1.35 GB | ######6 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################5 | 80%libcufft-11.0.2.4 | 102.9 MB | ##################################5 | 94%libcurand-10.3.5.119 | 51.8 MB | ################################6 | 88%pytorch-2.2.1 | 1.35 GB | ######7 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################6 | 80%libcufft-11.0.2.4 | 102.9 MB | ##################################9 | 94%libcurand-10.3.5.119 | 51.8 MB | ##################################5 | 93%pytorch-2.2.1 | 1.35 GB | ######7 | 18%libcublas-12.1.0.26 | 329.0 MB | #############################7 | 80%libcufft-11.0.2.4 | 102.9 MB | ###################################3 | 95%pytorch-2.2.1 | 1.35 GB | ######7 | 18%cudatoolkit-11.8.0 | 630.7 MB | #####################3 | 58%libcublas-12.1.0.26 | 329.0 MB | #############################8 | 81%pytorch-2.2.1 | 1.35 GB | ######8 | 18%cudatoolkit-11.8.0 | 630.7 MB | #####################5 | 58%libcublas-12.1.0.26 | 329.0 MB | ############################## | 81%pytorch-2.2.1 | 1.35 GB | ######8 | 19%python-3.11.8 | 32.9 MB | | 0%cudatoolkit-11.8.0 | 630.7 MB | #####################7 | 59%libcublas-12.1.0.26 | 329.0 MB | ##############################1 | 81%libcufft-11.0.2.4 | 102.9 MB | ####################################7 | 99%pytorch-2.2.1 | 1.35 GB | ######8 | 19%cudatoolkit-11.8.0 | 630.7 MB | #####################8 | 59%python-3.11.8 | 32.9 MB | #########2 | 25%libcublas-12.1.0.26 | 329.0 MB | ##############################2 | 82%pytorch-2.2.1 | 1.35 GB | ######9 | 19%python-3.11.8 | 32.9 MB | ######################2 | 60%cuda-nvrtc-12.1.105 | 19.7 MB | | 0%cudatoolkit-11.8.0 | 630.7 MB | ###################### | 59%python-3.11.8 | 32.9 MB | ############################5 | 77%cuda-nvrtc-12.1.105 | 19.7 MB | #2 | 3%python-3.11.8 | 32.9 MB | ###################################5 | 96%cuda-nvrtc-12.1.105 | 19.7 MB | ##4 | 7%cudatoolkit-11.8.0 | 630.7 MB | ######################1 | 60%pytorch-2.2.1 | 1.35 GB | ######9 | 19%libnvjitlink-12.1.10 | 16.9 MB | | 0%cudatoolkit-11.8.0 | 630.7 MB | ######################3 | 60%pytorch-2.2.1 | 1.35 GB | ######9 | 19%libnvjitlink-12.1.10 | 16.9 MB | ####8 | 13%cudatoolkit-11.8.0 | 630.7 MB | ######################5 | 61%cuda-nvrtc-12.1.105 | 19.7 MB | ###5 | 10%pytorch-2.2.1 | 1.35 GB | ######9 | 19%libnvjitlink-12.1.10 | 16.9 MB | #########7 | 26%cudatoolkit-11.8.0 | 630.7 MB | ######################7 | 61%cuda-nvrtc-12.1.105 | 19.7 MB | #####2 | 14%pytorch-2.2.1 | 1.35 GB | ####### | 19%libnvjitlink-12.1.10 | 16.9 MB | ############### | 41%cudatoolkit-11.8.0 | 630.7 MB | ######################9 | 62%pytorch-2.2.1 | 1.35 GB | ####### | 19%libcublas-12.1.0.26 | 329.0 MB | ##############################5 | 83%libnvjitlink-12.1.10 | 16.9 MB | ####################7 | 56%cuda-nvrtc-12.1.105 | 19.7 MB | ########8 | 24%pytorch-2.2.1 | 1.35 GB | ####### | 19%libnvjitlink-12.1.10 | 16.9 MB | ##########################7 | 72%libcublas-12.1.0.26 | 329.0 MB | ##############################6 | 83%pytorch-2.2.1 | 1.35 GB | #######1 | 19%cudatoolkit-11.8.0 | 630.7 MB | #######################2 | 63%libcublas-12.1.0.26 | 329.0 MB | ##############################7 | 83%libnvjitlink-12.1.10 | 16.9 MB | ################################2 | 87%pytorch-2.2.1 | 1.35 GB | #######1 | 19%libcublas-12.1.0.26 | 329.0 MB | ##############################7 | 83%cudatoolkit-11.8.0 | 630.7 MB | #######################3 | 63%pytorch-2.2.1 | 1.35 GB | #######2 | 19%libcublas-12.1.0.26 | 329.0 MB | ##############################8 | 83%cudatoolkit-11.8.0 | 630.7 MB | #######################5 | 64%cuda-cupti-12.1.105 | 15.4 MB | | 0%pytorch-2.2.1 | 1.35 GB | #######2 | 20%libcublas-12.1.0.26 | 329.0 MB | ##############################9 | 84%cuda-cupti-12.1.105 | 15.4 MB | #### | 11%cudatoolkit-11.8.0 | 630.7 MB | #######################6 | 64%pytorch-2.2.1 | 1.35 GB | #######2 | 20%libcublas-12.1.0.26 | 329.0 MB | ############################### | 84%cuda-cupti-12.1.105 | 15.4 MB | ########3 | 22%cudatoolkit-11.8.0 | 630.7 MB | #######################7 | 64%pytorch-2.2.1 | 1.35 GB | #######3 | 20%libcublas-12.1.0.26 | 329.0 MB | ###############################1 | 84%cuda-cupti-12.1.105 | 15.4 MB | ############6 | 34%cudatoolkit-11.8.0 | 630.7 MB | #######################9 | 65%pytorch-2.2.1 | 1.35 GB | #######3 | 20%libcublas-12.1.0.26 | 329.0 MB | ###############################2 | 84%cuda-cupti-12.1.105 | 15.4 MB | ################9 | 46%cuda-nvrtc-12.1.105 | 19.7 MB | ############################4 | 77%cudatoolkit-11.8.0 | 630.7 MB | ######################## | 65%pytorch-2.2.1 | 1.35 GB | #######4 | 20%cuda-cupti-12.1.105 | 15.4 MB | #####################4 | 58%cuda-nvrtc-12.1.105 | 19.7 MB | ###############################3 | 85%libcublas-12.1.0.26 | 329.0 MB | ###############################4 | 85%pytorch-2.2.1 | 1.35 GB | #######4 | 20%cuda-cupti-12.1.105 | 15.4 MB | #########################7 | 70%cuda-nvrtc-12.1.105 | 19.7 MB | ##################################2 | 92%libcublas-12.1.0.26 | 329.0 MB | ###############################5 | 85%pytorch-2.2.1 | 1.35 GB | #######5 | 20%cuda-cupti-12.1.105 | 15.4 MB | ############################## | 81%libcublas-12.1.0.26 | 329.0 MB | ###############################6 | 85%pytorch-2.2.1 | 1.35 GB | #######5 | 20%cuda-cupti-12.1.105 | 15.4 MB | ##################################3 | 93%torchvision-0.15.2 | 10.3 MB | | 0%libcublas-12.1.0.26 | 329.0 MB | ###############################7 | 86%pytorch-2.2.1 | 1.35 GB | #######5 | 21%numpy-base-1.26.4 | 8.3 MB | | 0%torchvision-0.15.2 | 10.3 MB | ########2 | 22%numpy-base-1.26.4 | 8.3 MB | #################6 | 48%torchvision-0.15.2 | 10.3 MB | ################3 | 44%numpy-base-1.26.4 | 8.3 MB | ###################################2 | 95%libcublas-12.1.0.26 | 329.0 MB | ###############################8 | 86%pytorch-2.2.1 | 1.35 GB | #######6 | 21%cudatoolkit-11.8.0 | 630.7 MB | ########################5 | 66%torchaudio-2.2.1 | 6.4 MB | | 0%torchvision-0.15.2 | 10.3 MB | ###################################1 | 95%pytorch-2.2.1 | 1.35 GB | #######6 | 21%libnvjpeg-12.1.1.14 | 2.9 MB | 1 | 1%torchaudio-2.2.1 | 6.4 MB | #################4 | 47%cudatoolkit-11.8.0 | 630.7 MB | ########################6 | 67%pytorch-2.2.1 | 1.35 GB | #######6 | 21%libnvjpeg-12.1.1.14 | 2.9 MB | ###############4 | 42%torchaudio-2.2.1 | 6.4 MB | ##################################8 | 94%cudatoolkit-11.8.0 | 630.7 MB | ########################7 | 67%libcufile-1.9.0.20 | 1.0 MB | 5 | 2%pytorch-2.2.1 | 1.35 GB | #######7 | 21%bzip2-1.0.8 | 262 KB | ##2 | 6%xz-5.4.6 | 651 KB | 9 | 2%cudatoolkit-11.8.0 | 630.7 MB | ########################8 | 67%libcublas-12.1.0.26 | 329.0 MB | ################################3 | 87%pytorch-2.2.1 | 1.35 GB | #######7 | 21%tzdata-2024a | 116 KB | ##### | 14%cuda-nvtx-12.1.105 | 57 KB | ##########3 | 28%cudatoolkit-11.8.0 | 630.7 MB | ########################9 | 67%cuda-opencl-12.4.99 | 11 KB | ##################################### | 100%... (more hidden) ...pytorch-2.2.1 | 1.35 GB | #######8 | 21%cudatoolkit-11.8.0 | 630.7 MB | #########################1 | 68%pytorch-2.2.1 | 1.35 GB | #######9 | 21%cudatoolkit-11.8.0 | 630.7 MB | #########################2 | 68%pytorch-2.2.1 | 1.35 GB | ######## | 22%libnpp-12.0.2.50 | 139.8 MB | ##################################### | 100%cudatoolkit-11.8.0 | 630.7 MB | #########################3 | 69%pytorch-2.2.1 | 1.35 GB | ######## | 22%cudatoolkit-11.8.0 | 630.7 MB | #########################5 | 69%pytorch-2.2.1 | 1.35 GB | ########1 | 22%cudatoolkit-11.8.0 | 630.7 MB | #########################6 | 69%pytorch-2.2.1 | 1.35 GB | ########2 | 22%cudatoolkit-11.8.0 | 630.7 MB | #########################8 | 70%pytorch-2.2.1 | 1.35 GB | ########3 | 22%cudatoolkit-11.8.0 | 630.7 MB | #########################9 | 70%pytorch-2.2.1 | 1.35 GB | ########3 | 23%cudatoolkit-11.8.0 | 630.7 MB | ##########################1 | 71%pytorch-2.2.1 | 1.35 GB | ########4 | 23%cudatoolkit-11.8.0 | 630.7 MB | ##########################2 | 71%pytorch-2.2.1 | 1.35 GB | ########5 | 23%cudatoolkit-11.8.0 | 630.7 MB | ##########################4 | 71%libcublas-12.1.0.26 | 329.0 MB | ###################################4 | 96%pytorch-2.2.1 | 1.35 GB | ########5 | 23%libcublas-12.1.0.26 | 329.0 MB | ###################################7 | 97%pytorch-2.2.1 | 1.35 GB | ########6 | 23%libcublas-12.1.0.26 | 329.0 MB | #################################### | 98%pytorch-2.2.1 | 1.35 GB | ########6 | 23%libcublas-12.1.0.26 | 329.0 MB | ####################################4 | 98%pytorch-2.2.1 | 1.35 GB | ########7 | 24%libcublas-12.1.0.26 | 329.0 MB | ####################################7 | 99%pytorch-2.2.1 | 1.35 GB | ########7 | 24%pytorch-2.2.1 | 1.35 GB | ########8 | 24%pytorch-2.2.1 | 1.35 GB | ########9 | 24%pytorch-2.2.1 | 1.35 GB | ######### | 25%pytorch-2.2.1 | 1.35 GB | #########1 | 25%pytorch-2.2.1 | 1.35 GB | #########2 | 25%pytorch-2.2.1 | 1.35 GB | #########3 | 25%pytorch-2.2.1 | 1.35 GB | #########4 | 26%pytorch-2.2.1 | 1.35 GB | #########5 | 26%pytorch-2.2.1 | 1.35 GB | #########6 | 26%pytorch-2.2.1 | 1.35 GB | #########7 | 26%pytorch-2.2.1 | 1.35 GB | #########7 | 26%pytorch-2.2.1 | 1.35 GB | #########8 | 27%pytorch-2.2.1 | 1.35 GB | #########9 | 27%pytorch-2.2.1 | 1.35 GB | ########## | 27%pytorch-2.2.1 | 1.35 GB | ##########1 | 27%pytorch-2.2.1 | 1.35 GB | ##########2 | 28%pytorch-2.2.1 | 1.35 GB | ##########3 | 28%pytorch-2.2.1 | 1.35 GB | ##########4 | 28%pytorch-2.2.1 | 1.35 GB | ##########5 | 28%pytorch-2.2.1 | 1.35 GB | ##########6 | 29%pytorch-2.2.1 | 1.35 GB | ##########7 | 29%pytorch-2.2.1 | 1.35 GB | ##########8 | 29%pytorch-2.2.1 | 1.35 GB | ##########9 | 29%pytorch-2.2.1 | 1.35 GB | ##########9 | 30%pytorch-2.2.1 | 1.35 GB | ########### | 30%pytorch-2.2.1 | 1.35 GB | ###########1 | 30%pytorch-2.2.1 | 1.35 GB | ###########2 | 30%pytorch-2.2.1 | 1.35 GB | ###########3 | 31%libcusparse-12.0.2.5 | 163.0 MB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ###########4 | 31%pytorch-2.2.1 | 1.35 GB | ###########5 | 31%pytorch-2.2.1 | 1.35 GB | ###########6 | 31%pytorch-2.2.1 | 1.35 GB | ###########7 | 32%cudatoolkit-11.8.0 | 630.7 MB | ###################################5 | 96%pytorch-2.2.1 | 1.35 GB | ###########7 | 32%pytorch-2.2.1 | 1.35 GB | ###########8 | 32%pytorch-2.2.1 | 1.35 GB | ###########9 | 32%pytorch-2.2.1 | 1.35 GB | ############ | 33%pytorch-2.2.1 | 1.35 GB | ############1 | 33%pytorch-2.2.1 | 1.35 GB | #############3 | 36%pytorch-2.2.1 | 1.35 GB | ################2 | 44%pytorch-2.2.1 | 1.35 GB | ##################6 | 50%pytorch-2.2.1 | 1.35 GB | ###################3 | 52%cuda-nvrtc-12.1.105 | 19.7 MB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ####################1 | 54%pytorch-2.2.1 | 1.35 GB | ####################4 | 55%pytorch-2.2.1 | 1.35 GB | #####################7 | 59%pytorch-2.2.1 | 1.35 GB | #####################9 | 59%pytorch-2.2.1 | 1.35 GB | ######################1 | 60%libcufile-1.9.0.20 | 1.0 MB | ##################################### | 100%libcufile-1.9.0.20 | 1.0 MB | ##################################### | 100%bzip2-1.0.8 | 262 KB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ######################2 | 60%xz-5.4.6 | 651 KB | ##################################### | 100%xz-5.4.6 | 651 KB | ##################################### | 100%libnvjpeg-12.1.1.14 | 2.9 MB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ######################4 | 61%cuda-cudart-12.1.105 | 189 KB | ##################################### | 100%cuda-cudart-12.1.105 | 189 KB | ##################################### | 100%cuda-nvtx-12.1.105 | 57 KB | ##################################### | 100%cuda-nvtx-12.1.105 | 57 KB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ######################6 | 61%pytorch-2.2.1 | 1.35 GB | ######################8 | 62% [Atzdata-2024a | 116 KB | ##################################### | 100%pytorch-2.2.1 | 1.35 GB | ########################### | 73%pytorch-2.2.1 | 1.35 GB | #################################4 | 90%pytorch-2.2.1 | 1.35 GB | ####################################9 | 100%pytorch-2.2.1 | 1.35 GB | ##################################### | 100%Preparing transaction: doneVerifying transaction: doneExecuting transaction: By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.htmldoneInstalling pip dependencies: - Ran pip subprocess with arguments:['/home/wallabot/miniforge3/envs/entorno_desde_archivo/bin/python', '-m', 'pip', 'install', '-U', '-r', '/home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt', '--exists-action=b']Pip subprocess output:Collecting transformers (from -r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Downloading transformers-4.38.2-py3-none-any.whl.metadata (130 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 130.7/130.7 kB 5.0 MB/s eta 0:00:00Requirement already satisfied: filelock in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (3.13.1)Collecting huggingface-hub<1.0,>=0.19.3 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Downloading huggingface_hub-0.21.4-py3-none-any.whl.metadata (13 kB)Requirement already satisfied: numpy>=1.17 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (1.26.4)Collecting packaging>=20.0 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Using cached packaging-23.2-py3-none-any.whl.metadata (3.2 kB)Requirement already satisfied: pyyaml>=5.1 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (6.0.1)Collecting regex!=2019.12.17 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Using cached regex-2023.12.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB)Requirement already satisfied: requests in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (2.31.0)Collecting tokenizers<0.19,>=0.14 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Downloading tokenizers-0.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)Collecting safetensors>=0.4.1 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Using cached safetensors-0.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)Collecting tqdm>=4.27 (from transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Downloading tqdm-4.66.2-py3-none-any.whl.metadata (57 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.6/57.6 kB 3.4 MB/s eta 0:00:00Collecting fsspec>=2023.5.0 (from huggingface-hub<1.0,>=0.19.3->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1))Using cached fsspec-2024.2.0-py3-none-any.whl.metadata (6.8 kB)Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from huggingface-hub<1.0,>=0.19.3->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (4.9.0)Requirement already satisfied: charset-normalizer<4,>=2 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from requests->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (2.0.4)Requirement already satisfied: idna<4,>=2.5 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from requests->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (3.4)Requirement already satisfied: urllib3<3,>=1.21.1 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from requests->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (2.1.0)Requirement already satisfied: certifi>=2017.4.17 in /home/wallabot/miniforge3/envs/entorno_desde_archivo/lib/python3.11/site-packages (from requests->transformers->-r /home/wallabot/Documentos/web/portafolio/posts/condaenv.vsafek98.requirements.txt (line 1)) (2024.2.2)Downloading transformers-4.38.2-py3-none-any.whl (8.5 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.5/8.5 MB 40.1 MB/s eta 0:00:0000:0100:01Downloading huggingface_hub-0.21.4-py3-none-any.whl (346 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 346.4/346.4 kB 20.4 MB/s eta 0:00:00Using cached packaging-23.2-py3-none-any.whl (53 kB)Using cached regex-2023.12.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (785 kB)Using cached safetensors-0.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)Downloading tokenizers-0.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 44.0 MB/s eta 0:00:0000:0100:01Downloading tqdm-4.66.2-py3-none-any.whl (78 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.3/78.3 kB 5.1 MB/s eta 0:00:00Using cached fsspec-2024.2.0-py3-none-any.whl (170 kB)Installing collected packages: tqdm, safetensors, regex, packaging, fsspec, huggingface-hub, tokenizers, transformersSuccessfully installed fsspec-2024.2.0 huggingface-hub-0.21.4 packaging-23.2 regex-2023.12.25 safetensors-0.4.2 tokenizers-0.15.2 tqdm-4.66.2 transformers-4.38.2done## To activate this environment, use## $ conda activate entorno_desde_archivo## To deactivate an active environment, use## $ conda deactivate
Install packages from a file
Another thing we can do is have a list of packages that we want to install. To install all of them at once, we can create a file called requirements.yml with content like the following
channels:
- conda-forge
dependencies:
- pandas==2.2.1
- matplotlib==3.8.3And now we tell Conda to install those packages
conda install --file requirements.yml!touch requirements.txt \&& echo "pandas==2.2.1" >> requirements.txt \&& echo "matplotlib==3.8.3" >> requirements.txt
Now that we have the file, we install the packages
!conda install --file requirements.txt
Channels:- conda-forge- defaultsPlatform: linux-64Collecting package metadata (repodata.json): doneSolving environment: warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATEfailedLibMambaUnsatisfiableError: Encountered problems while solving:- package pandas-1.3.3-py37h40f5888_0 requires python >=3.7,<3.8.0a0, but none of the providers can be installedCould not solve for environment specsThe following packages are incompatible├─ pandas 1.3.3 is installable with the potential options│ ├─ pandas 1.3.3 would require│ │ └─ python >=3.7,<3.8.0a0 , which can be installed;│ ├─ pandas 1.3.3 would require│ │ └─ python >=3.8,<3.9.0a0 , which can be installed;│ └─ pandas 1.3.3 would require│ └─ python >=3.9,<3.10.0a0 , which can be installed;└─ pin-1 is not installable because it requires└─ python 3.11.* , which conflicts with any installable versions previously reported.Pins seem to be involved in the conflict. Currently pinned specs:- python 3.11.* (labeled as 'pin-1')
