Aviso: Este post foi traduzido para o português usando um modelo de tradução automática. Por favor, me avise se encontrar algum erro.
Ao trabalhar com ciência de dados, inteligência artificial, deep learning, ou como queira chamar, vamos realizar vários projetos. E pode ser que em alguns você precise instalar, por exemplo, a versão 11.6 do CUDA e em outros a 11.8. E nessas situações, é aconselhável seguir as recomendações, nunca entre em conflito com o CUDA, ele sempre sai vencedor.
Portanto, o melhor é criar ambientes diferentes para cada projeto. Dessa forma, você poderá instalar o que quiser em cada ambiente e não de maneira global. E assim, não terá problemas de incompatibilidade com versões de bibliotecas.
Para criar ambientes python, ele traz por padrão o venv, que são seus ambientes virtuais. Mas recomendo que você use o conda para criar seus ambientes virtuais, pois além de criar ambientes virtuais, também é um gerenciador de pacotes, e é um melhor gerenciador de pacotes que o pip.
Este não é um post explicativo de conda, então você não vai encontrar como instalá-lo nem como usá-lo. É um post no qual são contadas as vantagens de usar conda e, além disso, de usar mamba (que explicaremos mais adiante)
Vou criar três ambientes conda diferentes, um será chamado pip_env, outro conda_env e outro mamba_env
Conda vs PIP
pip_env
Vou criar um novo ambiente chamado pip_env
!conda create -n pip_env
No ambiente pip_env vou instalar 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
Como se pode ver no texto que saiu ao instalar pandas, este depende de numpy, portanto o instala em sua versão 1.24.3. Mas se por algum motivo precisarmos do numpy em sua versão 1.19, se tentarmos instalá-lo, receberemos um erro.
# 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
Nós recebemos um erro, e se verificarmos qual versão do numpy temos, percebemos que ainda estamos com a 1.24.3
# pip_envimport numpy as npnp.__version__
'1.24.3'
E vemos qual versão do pandas temos
# pip_envimport pandas as pdpd.__version__
'2.0.1'
conda_env
Para resolver este conflito, podemos usar conda, crio um novo ambiente chamado conda_env
!conda create -n conda_env
E agora dizemos que queremos instalar numpy na versão 1.19 e pandas, e conda procurará a maneira de fazer isso.
# 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
Parece que você conseguiu, vamos ver
# conda_envimport numpy as npnp.__version__
'1.19.2'
# conda_envimport pandas as pdpd.__version__
'1.1.5'
Vemos que você conseguiu instalar os dois, só que para poder resolver os conflitos você instalou o pandas na versão 1.1.5, em vez da versão 2.0.1 que havia instalado com o pip.
Mamba vs conda
Uma vez que vimos que o conda é melhor para resolver conflitos, vejamos agora a diferença entre usar mamba e conda. Como vimos, o conda é muito bom em resolver conflitos, mas tem o problema de ser lento ao instalar pacotes, pois as dependências são instaladas em série, uma após a outra. Graças ao mamba, vamos ter os mesmos benefícios do conda, só que as dependências serão instaladas em paralelo, fazendo uso dos kernels que temos no nosso micro.
conda_env
Vamos a seguir no ambiente conda_env e vamos a ver quanto tempo leva para instalar o pytorch. Colocando time antes de um comando, vemos quanto tempo ele leva para ser executado.
# 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
Vemos que demorou 294,42 segundos, cerca de 4,9 minutos, quase 5 minutos.
mamba_env
Agora vamos a reinstalar o pytorch, mas com mamba. Primeiro criamos um ambiente chamado mamba_env
!conda create -n mamba_env
Para instalar mamba, baixe-o do mambaforge e instale-o.
Agora vamos reinstalar o pytorch no 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 0 nvidia/linux-64 Cached+ libcusparse 11.7.5.86 0 nvidia/linux-64 Cached+ libdeflate 1.17 h5eee18b_0 pkgs/main/linux-64 Cached+ libiconv 1.16 h7f8727e_2 pkgs/main/linux-64 Cached+ libidn2 2.3.2 h7f8727e_0 pkgs/main/linux-64 Cached+ libnpp 11.8.0.86 0 nvidia/linux-64 Cached+ libnvjpeg 11.9.0.86 0 nvidia/linux-64 Cached+ libpng 1.6.39 h5eee18b_0 pkgs/main/linux-64 Cached+ libtasn1 4.19.0 h5eee18b_0 pkgs/main/linux-64 Cached+ libtiff 4.5.0 h6a678d5_2 pkgs/main/linux-64 Cached+ libunistring 0.9.10 h27cfd23_0 pkgs/main/linux-64 Cached+ libwebp 1.2.4 h11a3e52_1 pkgs/main/linux-64 Cached+ libwebp-base 1.2.4 h5eee18b_1 pkgs/main/linux-64 Cached+ lz4-c 1.9.4 h6a678d5_0 pkgs/main/linux-64 Cached+ markupsafe 2.1.1 py310h7f8727e_0 pkgs/main/linux-64 Cached+ mkl 2021.4.0 h06a4308_640 pkgs/main/linux-64 Cached+ mkl-service 2.4.0 py310h7f8727e_0 pkgs/main/linux-64 Cached+ mkl_fft 1.3.1 py310hd6ae3a3_0 pkgs/main/linux-64 Cached+ mkl_random 1.2.2 py310h00e6091_0 pkgs/main/linux-64 Cached+ mpc 1.1.0 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
Agora levou 121,61 segundos, cerca de 2 minutos. Menos da metade do tempo com conda.
Criar um ambiente a partir de um arquivo
Podemos querer criar um ambiente com uma lista de pacotes determinada, então podemos passar um arquivo para o conda para que ele crie o ambiente com esses pacotes. Para isso, criamos um arquivo chamado environment.yml com um conteúdo como o seguinte
nome: ambiente_a_partir_de_arquivo
canais:
- padrões
- conda-forge
- pytorch
- nvidia
dependências:
- python=3.11
- cudatoolkit=11.8
- pytorch=2.2.1
- torchaudio- torchvision
- pip
- pip:
- transformadoresComo vemos, indica-se o nome do ambiente, os canais que vamos usar, os pacotes com suas versões que vamos instalar através do Conda e os pacotes que vamos instalar através do Pip. Agora dizemos ao Conda para criar o ambiente com esses pacotes.
conda env create -f environment.ymlCriamos o arquivo
!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
Agora que temos o arquivo, podemos criar o ambiente personalizado.
!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
Instalar pacotes a partir de um arquivo
Outra coisa que podemos fazer é ter uma lista de pacotes que queremos instalar. Para poder instalar todos de uma vez, podemos criar um arquivo chamado requirements.yml com um conteúdo como o seguinte
canais:
- conda-forge
dependências:
- pandas==2.2.1
- matplotlib==3.8.3E agora dizemos ao Conda para instalar esses pacotes
conda install --file requirements.yml!touch requirements.txt \&& echo "pandas==2.2.1" >> requirements.txt \&& echo "matplotlib==3.8.3" >> requirements.txt
Agora que temos o arquivo, instalamos os pacotes
!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')
