Conda
Quando trabalhamos com ciência de dados, inteligência artificial, aprendizado profundo, ou como você quiser chamar, vamos fazer vários projetos. E talvez seja necessário instalar, por exemplo, a versão 11.6 do cuda em alguns projetos e a 11.8 em outros. E, nesses casos, eu o aconselho a nunca brigar com o cuda, pois ele sempre sai na frente.
Portanto, é melhor criar ambientes separados para cada projeto. Dessa forma, você pode instalar o que quiser em cada ambiente e não globalmente. E, dessa forma, você não terá problemas com incompatibilidades de versões de bibliotecas.
Para criar ambientes, o python vem com o venv por padrão, que é o seu ambiente virtual. Mas recomendo que você utilize o conda para criar seus ambientes virtuais, pois além de criar ambientes virtuais, ele também é um gerenciador de pacotes, e é um gerenciador de pacotes melhor que o pip.
Esta não é uma postagem explicando o conda, portanto você não descobrirá como instalá-lo ou como utilizá-lo. É uma postagem sobre as vantagens de usar o conda e também sobre o uso do mamba (que explicaremos mais tarde).
Este caderno foi traduzido automaticamente para torná-lo acessível a mais pessoas, por favor me avise se você vir algum erro de digitação..
Criarei três ambientes conda diferentes, um será chamado pip_env, um conda_env e um mamba_env.
Conda vs PIP
pip_env
Criarei um novo ambiente chamado pip_env.
!conda create -n pip_env
No ambiente pip_env, instalarei o pandas.
!conda create -n pip_env# 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 você pode ver no texto que apareceu ao instalar o pandas, ele depende do numpy, portanto, ele o instala em sua versão 1.24.3. Mas se, por qualquer 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
Recebemos um erro e, se verificarmos a versão do numpy que temos, veremos que ainda estamos na versão 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 esse conflito, podemos usar o conda, eu crio um novo ambiente chamado conda_env.
!conda create -n conda_env
e agora dizemos a ele que queremos instalar o numpy na versão 1.19 e o pandas, e o conda procurará uma maneira de fazer isso.
!conda create -n conda_env# 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
Ele parece ter conseguido, vamos ver
# conda_envimport numpy as npnp.__version__
'1.19.2'
# conda_envimport pandas as pdpd.__version__
'1.1.5'
Podemos ver que ele conseguiu instalar ambos, só que, para resolver os conflitos, ele instalou o pandas em sua versão 1.1.5, em vez da versão 2.0.1 que o pip havia instalado.
Mamba vs conda
Agora que já vimos que o conda é melhor na resolução de conflitos, vamos ver a diferença entre o mamba e o conda. O conda, como vimos, é muito bom na resolução de conflitos, mas tem o problema de ser lento na instalação de pacotes, pois instala as dependências em série, uma após a outra. Graças ao mamba teremos os mesmos benefícios do conda, só que as dependências serão instaladas em paralelo, fazendo uso dos kernels que temos em nosso micro.
conda_env
Vamos permanecer no ambiente conda_env e ver quanto tempo leva para instalar o pytorch. Ao colocar time antes de um comando, veremos quanto tempo leva para executar
# 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 levou 294,42 segundos, cerca de 4,9 minutos, quase 5 minutos.
mamba_env
Agora vamos reinstalar o pytorch, mas com o mamba. Primeiro, criamos um ambiente chamado mamba_env.
!conda create -n mamba_env
Para instalar o mamba, faça o download em [mambaforge] (https://github.com/conda-forge/miniforge#mambaforge) e instale-o.
Agora vamos reinstalar o pytorch no mamba_env.
!conda create -n 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, o processo levou 121,61 segundos, cerca de 2 minutos. Menos da metade do tempo gasto com o conda.
Criar um ambiente a partir de um arquivo
Talvez queiramos criar um ambiente com uma determinada lista de pacotes, de modo que possamos passar um arquivo ao conda para criar o ambiente com esses pacotes. Para fazer isso, criamos um arquivo chamado environment.yml com conteúdo como o seguinte
yml
nome: environment_from_file
canais:
- padrões
- conda-forge
- pitão
- nvidia
dependências:
- python=3.11
- cudatoolkit=11.8
- pytorch=2.2.1
- torchaudio
- visão da tocha
- pip
- pip:
- transformadores
```
Como podemos ver, indicamos o nome do ambiente, os canais que usaremos, os pacotes com suas versões que instalaremos por meio do conda e os pacotes que instalaremos por meio do pip. Agora dizemos ao conda para criar o ambiente com esses pacotes.
````bash
conda env create -f environment.yml
```Criamos 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
!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!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 de um repositório
Outra coisa que podemos fazer é ter uma lista de pacotes que queremos instalar. Para instalá-los todos de uma vez, podemos criar um arquivo chamado requirements.yml com conteúdo como este
txt
canais:
- conda-forge
dependências:
- pandas==2.2.1
- matplotlib==3.8.3
```
E agora dizemos ao conda para instalar esses pacotes para nós.
````bash
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
!touch requirements.txt \&& echo "pandas==2.2.1" >> requirements.txt \&& echo "matplotlib==3.8.3" >> requirements.txt!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')
