This article will guide you to create the environment using Miniconda on a LANTA HPC system. An overview of the content can be found in the table of contents below for immediate visualization of the interesting parts.
Table of Contents |
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Using
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Mamba on LANTA HPC
Load
...
Mamba module
Use the
ml av MinicondaMamba
command to see which version of Miniconda Mamba is available on the LANTA HPC system.Use the
ml Miniconda3Mamba/xx.xx.x
command to load the Miniconda Mamba version that you want to use. If you don't specify a version, the default version (D) is loaded, which is Miniconda3Mamba/2223.11.10-10.
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username@lanta:~> ml av MinicondaMamba ---------------------- /lustrefs/disk/modules/easybuild/modules/all ----------------------- Miniconda3Mamba/2223.11.1-10-0 (D) Use "module spider" to find all possible modules and extensions. Use "module keyword key1 key2 ..." to search for all possible modules matching any of the "keys". username@lanta:~> ml Miniconda3Mamba/2223.11.10-1 |
...
0 |
Unload Mamba module
Use the
...
module unload Mamba
command to unload the Mamba.
Code Block |
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username@lanta:~> condamodule env list # conda unload Mamba |
Use the module purge
command to unload all currently loaded modules.
Code Block |
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username@lanta:~> module purge |
Note |
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Before you use the |
Activate your environment
Use the
conda env list
command to view a list of your environments.If you want to activate your environment such as TensorFlow-2.6.0, you can use the
conda activate tensorflow-2.12.1
command.
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username@lanta:~> conda env list # conda environments: # base /lustrefs/disk/modules/easybuild/software/Miniconda3Mamba/2223.11.10-10 netcdf-py39 /lustrefs/disk/modules/easybuild/software/Miniconda3Mamba/2223.11.10-10/envs/netcdf-py39 pytorch-12.112.02 /lustrefs/disk/modules/easybuild/software/Miniconda3Mamba/2223.11.10-10/envs/pytorch-12.112.02 tensorflow-2.612.0 1 /lustrefs/disk/modules/easybuild/software/Miniconda3Mamba/2223.11.10-10/envs/tensorflow-2.612.01 username@lanta:~> conda activate tensorflow-2.612.01 (tensorflow-2.6.0) .12.1) username@lanta:~> |
Deactivate your environment
Use the conda deactivate
command to deactivate your environments.
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(tensorflow-2.12.1) username@lanta:~> conda deactivate
username@lanta:~> |
Creating the environment in the user’s home
Create the environment
Use the conda create -n myenv
commands to create the environment with myenv name.
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username@lanta:~> conda create -n myenvcreate -n myenv Channels: - conda-forge Platform: linux-64 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /your directory/envs/myenv Proceed ([y]/n)? y ... |
Create the environment with a specific version of the packages
Use the conda create -n myenv python=3.9
commands to create the myenv environment with a specific version of python.
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username@lanta:~> conda create -n myenv python=3.9 Channels: - conda-forge Platform: linux-64 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /your directory/envs/myenv added / updated specs: - python=3.9 The following packages will be downloaded: package | build ---------------------------|----------------- capython-certificates-20233.01.10 |9.19 h06a4308|h0755675_0_cpython 22.7 MB 120 KBconda-forge certifiwheel-20220.12.743.0 | py39h06a4308_0 pyhd8ed1ab_1 15057 KB conda-forge ------------------------------------------------------------ Total: 270 KB The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main _openmp_mutex Total: pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu ca-certificates 22.8 MB pkgs/main/linux-64::ca-certificates-2023.01.10-h06a4308_0 certifi The following NEW packages will be INSTALLED: _libgcc_mutex pkgsconda-forge/main/linux-64::certifi-2022.12.7-py39h06a4308_0_libgcc_mutex-0.1-conda_forge ld_impl_linux-64openmp_mutex pkgsconda-forge/main/linux-64::ld_implopenmp_linuxmutex-644.5-2.38-h1181459_1_gnu bzip2 libffi pkgs/mainconda-forge/linux-64::libffibzip2-31.40.28-h6a678d5hd590300_65 libgccca-ngcertificates pkgs/main/conda-forge/linux-64::libgccca-ngcertificates-112024.2.02-h1234567hbcca054_10 libgompld_impl_linux-64 pkgs/mainconda-forge/linux-64::libgomp-11.ld_impl_linux-64-2.040-h1234567_1h41732ed_0 libffi libstdcxx-ng pkgsconda-forge/main/linux-64::libstdcxx-ng-11libffi-3.4.2.0-h1234567h7f98852_1 5 ncurses libgcc-ng pkgs/mainconda-forge/linux-64::ncurses-6.4-h6a678d5_0libgcc-ng-13.2.0-h807b86a_5 openssllibgomp pkgs/mainconda-forge/linux-64::openssllibgomp-113.12.1t0-h7f8727eh807b86a_05 piplibnsl pkgs/mainconda-forge/linux-64::piplibnsl-222.30.1-py39h06a4308hd590300_0 pythonlibsqlite pkgs/main/conda-forge/linux-64::pythonlibsqlite-3.945.162-h7a1cb2ah2797004_0 libuuid readline pkgs/mainconda-forge/linux-64::readlinelibuuid-82.38.21-h5eee18bh0b41bf4_0 setuptoolslibxcrypt pkgs/mainconda-forge/linux-64::setuptoolslibxcrypt-654.64.336-py39h06a4308hd590300_01 sqlitelibzlib pkgs/mainconda-forge/linux-64::sqlitelibzlib-31.402.113-h5082296hd590300_05 tkncurses pkgs/main/conda-forge/linux-64::tkncurses-86.64.1220240210-h1ccaba5h59595ed_0 tzdataopenssl pkgs/main/noarchconda-forge/linux-64::tzdata-2022g-h04d1e81_0 wheelopenssl-3.2.1-hd590300_1 pip pkgs/main/linux-64conda-forge/noarch::wheelpip-24.0.38.4-py39h06a4308pyhd8ed1ab_0 xzpython pkgs/main/conda-forge/linux-64::xzpython-53.29.1019-h5eee18bh0755675_0_1cpython zlibreadline pkgs/mainconda-forge/linux-64::zlibreadline-18.2.13-h5eee18bh8228510_01 Proceed ([y]/n)? y ... |
Use the conda create -n myenv python=3.9 numpy=1.23.5
commands to create the myenv environment with a specific version of python and numpy.
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username@lanta:~> conda create -n myenv python=3.9 numpy=1.23.5 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /your directory/envs/myenv added / updated specs: - numpy=1.23.5 - python=3.9 The following packages will be downloaded: package setuptools conda-forge/noarch::setuptools-69.2.0-pyhd8ed1ab_0 tk conda-forge/linux-64::tk-8.6.13-noxft_h4845f30_101 tzdata conda-forge/noarch::tzdata-2024a-h0c530f3_0 wheel conda-forge/noarch::wheel-0.43.0-pyhd8ed1ab_1 xz conda-forge/linux-64::xz-5.2.6-h166bdaf_0 Proceed ([y]/n)? | build ---------------------------|----------------- blas-1.0 | y ... |
Use the conda create -n myenv python=3.9 numpy=1.23.5
commands to create the myenv environment with a specific version of python and numpy.
Code Block |
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username@lanta:~> conda create -n myenv python=3.9 numpy=1.23.5 Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: /your directory/envs/myenv added / updated specs: - numpy=1.23.5 - python=3.9 The following packages will be downloaded: package mkl 6 KB ca-certificates-2023.01.10 | h06a4308_0 build 120 KB ---------------------------|----------------- certifilibblas-20223.129.70 | py39h06a4308_0|21_linux64_openblas 15014 KB conda-forge intellibcblas-openmp-20213.49.0 | h06a4308_3561|21_linux64_openblas 4.2 MB14 KB conda-forge mkllibgfortran-ng-202113.42.0 | h69a702a_5 | h06a4308_640 23 KB conda-forge 142.6 MB mkl-service-2.4liblapack-3.9.0 | py39h7f8727e_0|21_linux64_openblas 5914 KB conda-forge mkl_fftnumpy-1.323.15 | py39hd3c417cpy39h3d75532_0 5.6 MB 182 KBconda-forge mkl_randompython-13.29.219 | py39h51133e4|h0755675_0_cpython 22.7 309 KBMB conda-forge numpypython_abi-1.23.53.9 | | py39h14f42284_0cp39 106 KB conda-forge numpy-base-1.23.5 wheel-0.43.0 | py39h31eccc5pyhd8ed1ab_01 57 KB 6.7 MB conda-forge ---------------------------------------------------------------- Total: 28.4 MB The following NEW packages will be INSTALLED: _libgcc_mutex Total:conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge _openmp_mutex 154.3 MB The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main _openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu blasconda-forge/linux-64::_openmp_mutex-4.5-2_gnu bzip2 conda-forge/linux-64::bzip2-1.0.8-hd590300_5 ca-certificates conda-forge/linux-64::ca-certificates-2024.2.2-hbcca054_0 ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.40-h41732ed_0 libblas pkgs/main/conda-forge/linux-64::blaslibblas-13.9.0-mkl21_linux64_openblas libcblas ca-certificates pkgsconda-forge/main/linux-64::calibcblas-certificates-20233.019.100-h06a430821_linux64_0openblas certifilibffi pkgs/mainconda-forge/linux-64::certifilibffi-20223.124.72-py39h06a4308h7f98852_05 intel-openmplibgcc-ng pkgsconda-forge/main/linux-64::intellibgcc-openmpng-202113.42.0-h06a4308h807b86a_35615 ld_impl_linux-64libgfortran-ng pkgs/mainconda-forge/linux-64::ld_impl_linux-64-libgfortran-ng-13.2.380-h1181459h69a702a_15 libffilibgfortran5 pkgs/main/conda-forge/linux-64::libffilibgfortran5-313.42.20-h6a678d5ha4646dd_65 libgomp libgcc-ng pkgs/mainconda-forge/linux-64::libgcclibgomp-ng-1113.2.0-h1234567h807b86a_15 libgompliblapack pkgs/mainconda-forge/linux-64::libgompliblapack-113.29.0-h1234567_121_linux64_openblas libnsl libstdcxx-ng pkgsconda-forge/main/linux-64::libstdcxx-nglibnsl-11.2.0.1-h1234567hd590300_10 mkllibopenblas pkgs/main/conda-forge/linux-64::mkllibopenblas-20210.43.026-h06a4308_640pthreads_h413a1c8_0 libsqlite mkl-service pkgs/mainconda-forge/linux-64::mkllibsqlite-service-23.445.02-py39h7f8727eh2797004_0 mkl_fftlibstdcxx-ng pkgs/mainconda-forge/linux-64::mkl_fft-1.3.1-py39hd3c417c_0libstdcxx-ng-13.2.0-h7e041cc_5 libuuid mkl_random pkgsconda-forge/main/linux-64::mkl_randomlibuuid-12.238.21-py39h51133e4h0b41bf4_0 ncurseslibxcrypt pkgs/mainconda-forge/linux-64::ncurseslibxcrypt-64.4.36-h6a678d5hd590300_01 numpylibzlib pkgs/main/conda-forge/linux-64::numpylibzlib-1.232.513-py39h14f4228_0hd590300_5 ncurses numpy-base pkgs/mainconda-forge/linux-64::numpyncurses-base-16.234.520240210-py39h31eccc5h59595ed_0 numpy openssl pkgs/mainconda-forge/linux-64::opensslnumpy-1.123.1t5-h7f8727epy39h3d75532_0 pipopenssl pkgs/mainconda-forge/linux-64::pipopenssl-223.32.1-py39h06a4308_0hd590300_1 pip python pkgs/main/linux-64conda-forge/noarch::pythonpip-324.9.160-h7a1cb2apyhd8ed1ab_0 python readline pkgsconda-forge/main/linux-64::readlinepython-83.9.219-h5eee18bh0755675_0_cpython setuptoolspython_abi pkgs/mainconda-forge/linux-64::setuptoolspython_abi-653.6.39-py39h06a43084_0cp39 sixreadline pkgs/main/noarch::six-1.16.0-pyhd3eb1b0conda-forge/linux-64::readline-8.2-h8228510_1 sqlitesetuptools pkgs/main/linux-64::sqlite-3.40.1-h5082296conda-forge/noarch::setuptools-69.2.0-pyhd8ed1ab_0 tk pkgsconda-forge/main/linux-64::tk-8.6.1213-h1ccaba5noxft_h4845f30_0101 tzdata pkgs/main/noarch::tzdata-2022g-h04d1e81_0 wheel pkgs/main/linux-64conda-forge/noarch::wheel-0.38.4-py39h06a4308tzdata-2024a-h0c530f3_0 xzwheel pkgs/main/linux-64::xz-5.2.10-h5eee18b_1 zlibconda-forge/noarch::wheel-0.43.0-pyhd8ed1ab_1 xz pkgs/mainconda-forge/linux-64::zlibxz-15.2.136-h5eee18bh166bdaf_0 Proceed ([y]/n)? y ... |
Creating the environment in the project’s home
Specify a location for the environment
Use the conda create --prefix /your project directory/envs
commands to create the environment on the specific location.
Code Block |
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username@lanta:~> conda create --prefix /your project directory/envs-prefix /your project directory/envs Channels: - conda-forge Platform: linux-64 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /your project directory/envs Proceed ([y]/n)? y ... |
Specify a location for the environment with a specific version of a package
Use the conda create --prefix /your project directory/envs python=3.9
commands to create the environment with a specific version of a package on a specific location.
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username@lanta:~> conda create --prefix /your project directory/envs python=3.9 Channels: - conda-forge Platform: linux-64 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /your project directory/envs added / updated specs: - python=3.9 The following packages will be downloaded: package | build ---------------------------|----------------- capython-certificates-20233.01.10 |9.19 h06a4308|h0755675_0_cpython 22.7 120 KBMB conda-forge certifiwheel-2022.12.70.43.0 | py39h06a4308pyhd8ed1ab_01 15057 KB conda-forge ------------------------------------------------------------ Total: 22.8 MB The following NEW packages will be INSTALLED: _libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge _openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-2_gnu bzip2 Total: 270 KB The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/conda-forge/linux-64::bzip2-1.0.8-hd590300_5 ca-certificates conda-forge/linux-64::ca-certificates-2024.2.2-hbcca054_0 ld_impl_linux-64 conda-forge/linux-64::ld_libgccimpl_mutexlinux-64-02.1-main40-h41732ed_0 libffi _openmp_mutex pkgsconda-forge/main/linux-64::_openmp_mutex-5.1-1_gnulibffi-3.4.2-h7f98852_5 ca-certificateslibgcc-ng pkgsconda-forge/main/linux-64::calibgcc-certificatesng-202313.012.100-h06a4308h807b86a_05 certifilibgomp pkgs/mainconda-forge/linux-64::certifilibgomp-202213.122.70-py39h06a4308_0h807b86a_5 libnsl ld_impl_linux-64 pkgs/mainconda-forge/linux-64::ld_impl_linux-64libnsl-2.0.381-h1181459hd590300_10 libffilibsqlite pkgs/main/conda-forge/linux-64::libffilibsqlite-3.445.2-h6a678d5h2797004_60 libuuid libgcc-ng pkgsconda-forge/main/linux-64::libgcclibuuid-ng-112.238.01-h1234567h0b41bf4_10 libgomplibxcrypt pkgs/mainconda-forge/linux-64::libgomplibxcrypt-114.24.036-h1234567hd590300_1 libzlib libstdcxx-ng pkgsconda-forge/main/linux-64::libstdcxxlibzlib-ng-111.2.013-h1234567hd590300_15 ncurses pkgsconda-forge/main/linux-64::ncurses-6.4.20240210-h6a678d5h59595ed_0 openssl pkgs/mainconda-forge/linux-64::openssl-13.2.1.1t-h7f8727ehd590300_01 pip pkgs/main/linux-64conda-forge/noarch::pip-2224.3.10-py39h06a4308pyhd8ed1ab_0 python pkgs/mainconda-forge/linux-64::python-3.9.1619-h7a1cb2ah0755675_0_cpython readline pkgsconda-forge/main/linux-64::readline-8.2-h5eee18bh8228510_01 setuptools pkgs/main/linux-64conda-forge/noarch::setuptools-6569.62.3-py39h06a4308_0 sqlite pkgs/main/linux-64::sqlite-3.40.1-h5082296-pyhd8ed1ab_0 tk pkgs/main conda-forge/linux-64::tk-8.6.1213-h1ccaba5noxft_h4845f30_0101 tzdata pkgsconda-forge/main/noarch::tzdata-2022g2024a-h04d1e81h0c530f3_0 wheel pkgs/main/linux-64conda-forge/noarch::wheel-0.3843.40-py39h06a4308pyhd8ed1ab_01 xz pkgs/main/linux-64::xz-5.2.10-h5eee18b_1 zlib pkgs/mainconda-forge/linux-64::zlibxz-15.2.136-h5eee18bh166bdaf_0 Proceed ([y]/n)? y ... |
Activate your environment in the project’s home
If you want to activate your environment in the project’s home, you can use the conda activate /your project directory/envs
command.
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username@lanta:~> conda activate /your project directory/envs (/your project directory/envs) username@lanta:~> |
Creating the environment from an requirements.yml file
A simple requirements.yml file
In the requirements.yml file, you need to specify the environment name and packages that you want to use.
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name: envs dependencies: - python=3.9 - numpy=1.23.5 - pandas |
Create the environment from the requirements.yml file in the user’s home
Use the conda env create -f requirements.yml
commands to create the environment from the requirements.yml file in the user’s home.
Code Block |
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username@lanta:~> conda env create -f requirements.yml
Channels:
- conda-forge
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done |
Create the environment from the requirements.yml file in the project’s home
Use the conda env create -f requirements.yml --prefix /your project directory/envs
commands to create the environment from the requirements.yml file on the specific location.
Code Block |
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username@lanta:~> conda env create -f requirements.yml --prefix /your project directory/envs
Channels:
- conda-forge
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done |
Removing the environment
Remove the environment in the user’s home
If you want to remove the myenv environment, you can use the conda remove --name myenv --all
command.
Code Block |
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username@lanta:~> conda remove --name myenv --all |
Remove the environment in the project’s home
If you want to remove the environment in /your project directory/envs
, you can use the rm -rf /your project directory/envs
command.
Code Block |
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username@lanta:~> rm -rf /your project directory/envs |
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