Conda
When working in data science, artificial intelligence, deep learning, or whatever you want to call it, we are going to do several projects. And you may have to install for example version 11.6 of cuda in some of them and 11.8 in others. And in those cases I advise you, never fight with cuda, it always wins.
Therefore it is best to create separate environments for each project. This way you can install what you want in each environment and not globally. And this way you will not have problems of incopatibilities with library versions.
To create environments python comes by default with venv which are your virtual environments. But I recommend you to use conda to create your virtual environments, because apart from creating virtual environments, it is also a package manager, and it is a better package manager than pip.
This is not a post explaining conda, so you will not find how to install it or how to use it. It is a post telling the advantages of using conda and also of using mamba (which we will explain later).
This notebook has been automatically translated to make it accessible to more people, please let me know if you see any typos.
I will create three different conda environments, one will be called pip_env, one conda_env and one mamba_env.
Conda vs PIP
pip_env
I will create a new environment called pip_env.
!conda create -n pip_env
In the pip_env environment I will install 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
As you can see in the text that came out when installing pandas, it depends on numpy so it installs it in its version 1.24.3. But if for whatever reason we need numpy in its version 1.19, if we try to install it we will get an error
# pip_env!pip install numpy==1.19.0
Collecting numpy==1.19.0Using cached numpy-1.19.0.zip (7.3 MB)Installing build dependencies ... doneGetting requirements to build wheel ... donePreparing metadata (pyproject.toml) ... doneBuilding wheels for collected packages: numpyBuilding wheel for numpy (pyproject.toml) ... errorerror: subprocess-exited-with-error× Building wheel for numpy (pyproject.toml) did not run successfully.│ exit code: 1╰─> [1113 lines of output]Running from numpy source directory.Cythonizing sourcesnumpy/random/_bounded_integers.pxd.in has not changednumpy/random/_bounded_integers.pyx.in has not changednumpy/random/_philox.pyx has not changednumpy/random/_mt19937.pyx has not changednumpy/random/_sfc64.pyx has not changednumpy/random/mtrand.pyx has not changednumpy/random/_common.pyx has not changedProcessing numpy/random/_bounded_integers.pyx/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:73: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.required_version = LooseVersion('0.29.14')/tmp/pip-install-ck7a9pm3/numpy_29fbb9718a2c432e9d67310f12d6c54b/tools/cythonize.py:75: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead....note: This error originates from a subprocess, and is likely not a problem with pip.ERROR: Failed building wheel for numpyFailed to build numpyERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
It has given us an error, and if we see what version of numpy we have, we see that we are still with 1.24.3.
# pip_envimport numpy as npnp.__version__
'1.24.3'
And we see which version of pandas we have
# pip_envimport pandas as pdpd.__version__
'2.0.1'
conda_env
To resolve this conflict, we can use conda, I create a new environment called conda_env.
!conda create -n conda_env
and now we tell it that we want to install numpy in version 1.19 and pandas, and conda will look for the way to do it
!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
It seems to have succeeded, let's see
# conda_envimport numpy as npnp.__version__
'1.19.2'
# conda_envimport pandas as pdpd.__version__
'1.1.5'
We can see that he was able to install both, only that in order to solve the conflicts he installed pandas in version 1.1.5, instead of version 2.0.1 which he had installed pip.
Mamba vs conda
Once we have seen that conda is better for resolving conflicts, let's see now the difference between using mamba and conda. Conda as we have seen is very good at resolving conflicts, but it has the problem that it is slow installing packages, since the dependencies are installed in series, one after the other. Thanks to mamba we will have the same benefits of conda, only that the dependencies will be installed in parallel, making use of the kernels that we have in our bug.
conda_env
Let's stay in the conda_env environment and see how long it takes to install pytorch. By putting time before a command we can see how long it takes to run
# conda_env!time conda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
Collecting package metadata (current_repodata.json): doneSolving environment: failed with initial frozen solve. Retrying with flexible solve.Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Collecting package metadata (repodata.json): doneSolving environment: done## Package Plan ##environment location: /home/wallabot/miniconda3/envs/conda_envadded / updated specs:- pytorch- pytorch-cuda=11.8- torchaudio- torchvisionThe following packages will be downloaded:package | build---------------------------|-----------------bzip2-1.0.8 | h7b6447c_0 78 KBcuda-cudart-11.8.89 | 0 197 KB nvidiacuda-cupti-11.8.87 | 0 25.3 MB nvidiacuda-libraries-11.8.0 | 0 1 KB nvidiacuda-nvrtc-11.8.89 | 0 19.1 MB nvidiacuda-nvtx-11.8.86 | 0 57 KB nvidiacuda-runtime-11.8.0 | 0 1 KB nvidiacudatoolkit-11.3.1 | ha36c431_9 815.2 MB nvidiadataclasses-0.8 | pyh4f3eec9_6 22 KBlibcublas-11.11.3.6 | 0 364.0 MB nvidialibcufft-10.9.0.58 | 0 142.8 MB nvidialibcufile-1.6.1.9 | 0 764 KB nvidialibcurand-10.3.2.106 | 0 51.7 MB nvidialibcusolver-11.4.1.48 | 0 96.5 MB nvidialibcusparse-11.7.5.86 | 0 176.3 MB nvidialibnpp-11.8.0.86 | 0 147.8 MB nvidialibnvjpeg-11.9.0.86 | 0 2.4 MB nvidiaolefile-0.46 | py36_0 48 KBopenjpeg-2.4.0 | h3ad879b_0 331 KBpillow-8.3.1 | py36h2c7a002_0 637 KBpytorch-1.10.2 |py3.6_cuda11.3_cudnn8.2.0_0 1.21 GB pytorchpytorch-cuda-11.8 | h7e8668a_3 7 KB pytorchtorchaudio-0.10.2 | py36_cu113 4.5 MB pytorchtorchvision-0.11.3 | py36_cu113 30.4 MB pytorchtyping_extensions-4.1.1 | pyh06a4308_0 28 KB------------------------------------------------------------Total: 3.04 GB...Preparing transaction: doneVerifying transaction: doneExecuting transaction: / By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.htmldoneconda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch 294,42s user 18,01s system 187% cpu 2:46,42 total
We see that it has taken 294.42 seconds, about 4.9 minutes, almost 5 minutes.
mamba_env
Now we are going to reinstall pytorch, but with mamba. First we create an environment called mamba_env.
!conda create -n mamba_env
To install mamba, download it from mambaforge and install it.
Now we reinstall pytorch in mamba_env.
!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
Now it has taken 121.61 seconds, about 2 minutes. Less than half as long as with conda.
Create an environment from a file
We may want to create an environment with a certain list of packages, so we can pass a file to conda to create the environment with those packages. To do this we create a file called environment.yml with a content like the following one
yml
name: environment_from_file
channels:
- defaults
- conda-forge
- pytorch
- nvidia
dependencies:
- python=3.11
- cudatoolkit=11.8
- pytorch=2.2.1
- torchaudio
- torchvision
- pip
- pip:
- transformers
```
As we can see, we indicate the name of the environment, the channels that we are going to use, the packages with their versions that we are going to install through conda and the packages that we are going to install through pip. Now we tell conda to create the environment with these packages.
````bash
conda env create -f environment.yml
```We create the file
!touch environment.yml \&& echo "name: entorno_desde_archivo" >> environment.yml \&& echo "channels:" >> environment.yml \&& echo " - defaults" >> environment.yml \&& echo " - conda-forge" >> environment.yml \&& echo " - pytorch" >> environment.yml \&& echo " - nvidia" >> environment.yml \&& echo "dependencies:" >> environment.yml \&& echo " - python=3.11" >> environment.yml \&& echo " - cudatoolkit=11.8" >> environment.yml \&& echo " - pytorch=2.2.1" >> environment.yml \&& echo " - torchaudio" >> environment.yml \&& echo " - torchvision" >> environment.yml \&& echo " - pip" >> environment.yml \&& echo " - pip:" >> environment.yml \&& echo " - transformers" >> environment.yml
Now that we have the file we can create the custom environment
!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
Install packages from an archive
Another thing we can do is to have a list of packages we want to install, in order to install all of them at once we can create a file called requirements.yml with a content like this
txt
channels:
- conda-forge
dependencies:
- pandas==2.2.1
- matplotlib==3.8.3And now we tell conda to install those packages for us
conda install --file requirements.yml
```
!touch requirements.txt \&& echo "pandas==2.2.1" >> requirements.txt \&& echo "matplotlib==3.8.3" >> requirements.txt
Now that we have the file we install the packages
!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')
