Conda
A la hora de trabajar en ciencia de datos, inteligencia artificial, deep learning, o como le quieras llamar, vamos a hacer varios proyectos. Y puede que en unos tengas que instalar por ejemplo la versión 11.6 de cuda y en otros la 11.8. Y en esos casos te lo aconsejes, nunca te pelees con cuda, siempre sale ganando.
Por tanto lo mejor es crear entornos distintos para cada proyecto. De esta manera podrás instalar lo que quieras en cada entorno y no de manera global. Y así no tendrás problemas de incopatibilidades con versiones de librerías.
Para crear entornos python trae por defecto venv que son sus entornos virtuales. Pero te recomiendo que uses conda para crear tus entornos virtuales, ya que a parte de crear entornos virtuales, también es un gestor de paquetes, y es mejor gestor de paquetes que pip.
Este no es un post explicativo de conda, por lo que no vas a encontrar cómo instalarlo ni cómo usarlo. Es un post en el que se cuentan las ventajas de usar conda y además de usar mamba (que explicaremos más adelante)
Voy a crear tres entornos de conda distintos, uno se llamará pip_env, otro conda_env y otro mamba_env
Conda vs PIP
pip_env
Voy a crear un nuevo entorno llamado pip_env
!conda create -n pip_env
En el entorno pip_env voy a instalar 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 se puede ver en el texto que ha salido al instalar pandas, este depende de numpy por lo que lo instala en su versión 1.24.3. Pero si por la razón que sea necesitamos numpy en su versión 1.19, si lo intentamos instalar nos dará un error
# pip_env!pip install numpy==1.19.0
Collecting numpy==1.19.0Using cached numpy-1.19.0.zip (7.3 MB)Installing build dependencies ... doneGetting requirements to build wheel ... donePreparing metadata (pyproject.toml) ... doneBuilding wheels for collected packages: numpyBuilding wheel for numpy (pyproject.toml) ... errorerror: subprocess-exited-with-error× Building wheel for numpy (pyproject.toml) did not run successfully.│ exit code: 1╰─> [1113 lines of output]Running from numpy source directory.Cythonizing sourcesnumpy/random/_bounded_integers.pxd.in has not changednumpy/random/_bounded_integers.pyx.in has not changednumpy/random/_philox.pyx has not changednumpy/random/_mt19937.pyx has not changednumpy/random/_sfc64.pyx has not changednumpy/random/mtrand.pyx has not changednumpy/random/_common.pyx has not changedProcessing numpy/random/_bounded_integers.pyx/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:73: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.required_version = LooseVersion('0.29.14')/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:75: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead....note: This error originates from a subprocess, and is likely not a problem with pip.ERROR: Failed building wheel for numpyFailed to build numpyERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
Nos ha dado un error, y si vemos qué versión de numpy tenemos, vemos que seguimos con la 1.24.3
# pip_envimport numpy as npnp.__version__
'1.24.3'
Y vemos qué versión de pandas tenemos
# pip_envimport pandas as pdpd.__version__
'2.0.1'
conda_env
Para resolvers este conflicto, podemos usar conda, creo un nuevo entorno llamado conda_env
!conda create -n conda_env
y ahora le decimos que queremos instalar numpy en la versión 1.19 y pandas, y conda buscará la manera de hacerlo
!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
Parece que lo ha conseguido, vamos a ver
# conda_envimport numpy as npnp.__version__
'1.19.2'
# conda_envimport pandas as pdpd.__version__
'1.1.5'
Vemos que ha podido instalar los dos, solo que para poder resolver los conflictos ha instalado pandas en su versión 1.1.5, en vez de en la versión 2.0.1 que había instalado pip
Mamba vs conda
Una vez hemos visto que conda es mejor para resolver conflictos, veamos ahora la diferencia de usar mamba y conda. Conda como hemos visto es muy bueno resolviendo conflictos, pero tiene el problema de que es lento instalando paquetes, ya que las dependencias las instala en serie, una detrás de otra. Gracias a mamba vamos a tener los mismo beneficios de conda, solo que las dependencias se van a instalar en paralelo, haciendo uso de los kernels que tengamos en nuestro micro
conda_env
Vamos a seguir en el entorno conda_env y vamos a ver cuánto tarda en instalarse pytorch. Poniendo time antes de un comando vemos cuánto tarda en ejecutarse
# 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 ha tardado 294,42 segundos, unos 4.9 minutos, casi 5 minutos
mamba_env
Ahora vamos a volver a instalar pytorch, pero con mamba. Primero creamos un entorno llamado mamba_env
!conda create -n mamba_env
Para instalar mamba descargarlo de mambaforge e instalarlo
Ahora volvemos a instalar pytorch en 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
Ahora ha tardado 121,61 segundos, unos 2 minutos. Menos de la mitad que con conda
Crear un entorno desde un archivo
Puede que queramos crear un entorno con una lista de paquetes determinada, así que podemos pasarle un archivo a conda para que nos cree el entorno con esos paquetes. Para ello creamos un archivo llamado environment.yml con un contenido como el siguiente
yml
name: entorno_desde_archivo
channels:
- defaults
- conda-forge
- pytorch
- nvidia
dependencies:
- python=3.11
- cudatoolkit=11.8
- pytorch=2.2.1
- torchaudio
- torchvision
- pip
- pip:
- transformersComo vemos se le indica el nombre del entorno, los canales que vamos a usar, los paquetes con sus versiones que vamos a instalar a través de conda y los paquetes que vamos a instalar a través de pip. Ahora le decimos a conda que nos cree el entorno con esos paquetes
conda env create -f environment.yml
Creamos el archivo
!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
Ahora que tenemos el archivo podemos crear el entorno 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 paquetes desde un archivo
Otra cosa que podemos hacer es tener una lista de paquetes que queremos instalar, para poder instalar todos de una vez podemos crear un archivo llama requirements.yml con un contenido como el siguiente
txt
channels:
- conda-forge
dependencies:
- pandas==2.2.1
- matplotlib==3.8.3Y ahora le decimos a conda que nos instale esos paquetes
conda install --file requirements.yml
!touch requirements.txt \&& echo "pandas==2.2.1" >> requirements.txt \&& echo "matplotlib==3.8.3" >> requirements.txt
Ahora que tenemos el archivo instalamos los paquetes
!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')
