Komputasi Python dengan Conda Environment (Siap Pakai): Perbedaan antara revisi
Dari ALELEON by EFISON
WilsonLisan (bicara | kontrib) (→2. Daftar Conda Env Siap Pakai: tes formatting) |
WilsonLisan (bicara | kontrib) (→2. Daftar Conda Env Siap Pakai: tes formatting) |
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{| class="wikitable" | |||
|+PyTorch 2.7.1 (CUDA 12.6) | |||
!Package terinstal: | |||
|- | |||
|<syntaxhighlight lang="bash"> | |||
_libgcc_mutex 0.1 | |||
_openmp_mutex 5.1 | |||
absl-py 2.3.1 | |||
anyio 4.9.0 | |||
argon2-cffi 25.1.0 | |||
argon2-cffi-bindings 21.2.0 | |||
arrow 1.3.0 | |||
asttokens 3.0.0 | |||
async-lru 2.0.5 | |||
attrs 25.3.0 | |||
babel 2.17.0 | |||
beautifulsoup4 4.13.4 | |||
bleach 6.2.0 | |||
bzip2 1.0.8 | |||
ca-certificates 2025.2.25 | |||
certifi 2025.6.15 | |||
cffi 1.17.1 | |||
charset-normalizer 3.4.2 | |||
comm 0.2.2 | |||
contourpy 1.3.2 | |||
cycler 0.12.1 | |||
debugpy 1.8.14 | |||
decorator 5.2.1 | |||
defusedxml 0.7.1 | |||
executing 2.2.0 | |||
expat 2.7.1 | |||
fastjsonschema 2.21.1 | |||
filelock 3.18.0 | |||
fonttools 4.58.4 | |||
fqdn 1.5.1 | |||
fsspec 2025.5.1 | |||
h11 0.16.0 | |||
h5py 3.14.0 | |||
httpcore 1.0.9 | |||
httpx 0.28.1 | |||
idna 3.10 | |||
ipykernel 6.29.5 | |||
ipython 9.4.0 | |||
ipython-pygments-lexers 1.1.1 | |||
ipywidgets 8.1.7 | |||
isoduration 20.11.0 | |||
jedi 0.19.2 | |||
jinja2 3.1.6 | |||
joblib 1.5.1 | |||
json5 0.12.0 | |||
jsonpointer 3.0.0 | |||
jsonschema 4.24.0 | |||
jsonschema-specifications 2025.4.1 | |||
jupyter 1.1.1 | |||
jupyter-client 8.6.3 | |||
jupyter-console 6.6.3 | |||
jupyter-core 5.8.1 | |||
jupyter-events 0.12.0 | |||
jupyter-lsp 2.2.5 | |||
jupyter-server 2.16.0 | |||
jupyter-server-terminals 0.5.3 | |||
jupyterlab 4.4.4 | |||
jupyterlab-pygments 0.3.0 | |||
jupyterlab-server 2.27.3 | |||
jupyterlab-widgets 3.0.15 | |||
keras 3.10.0 | |||
kiwisolver 1.4.8 | |||
ld_impl_linux-64 2.40 | |||
libffi 3.4.4 | |||
libgcc-ng 11.2.0 | |||
libgomp 11.2.0 | |||
libstdcxx-ng 11.2.0 | |||
libuuid 1.41.5 | |||
libxcb 1.17.0 | |||
markdown-it-py 3.0.0 | |||
markupsafe 3.0.2 | |||
matplotlib 3.10.3 | |||
matplotlib-inline 0.1.7 | |||
mdurl 0.1.2 | |||
mistune 3.1.3 | |||
ml-dtypes 0.5.1 | |||
mpi4py 4.1.0 | |||
mpmath 1.3.0 | |||
namex 0.1.0 | |||
nbclient 0.10.2 | |||
nbconvert 7.16.6 | |||
nbformat 5.10.4 | |||
ncurses 6.4 | |||
nest-asyncio 1.6.0 | |||
networkx 3.5 | |||
notebook 7.4.4 | |||
notebook-shim 0.2.4 | |||
numpy 2.3.1 | |||
nvidia-cublas-cu12 12.6.4.1 | |||
nvidia-cuda-cupti-cu12 12.6.80 | |||
nvidia-cuda-nvrtc-cu12 12.6.77 | |||
nvidia-cuda-runtime-cu12 12.6.77 | |||
nvidia-cudnn-cu12 9.5.1.17 | |||
nvidia-cufft-cu12 11.3.0.4 | |||
nvidia-cufile-cu12 1.11.1.6 | |||
nvidia-curand-cu12 10.3.7.77 | |||
nvidia-cusolver-cu12 11.7.1.2 | |||
nvidia-cusparse-cu12 12.5.4.2 | |||
nvidia-cusparselt-cu12 0.6.3 | |||
nvidia-nccl-cu12 2.26.2 | |||
nvidia-nvjitlink-cu12 12.6.85 | |||
nvidia-nvtx-cu12 12.6.77 | |||
openmpi 5.0.8 | |||
openssl 3.0.16 | |||
optree 0.16.0 | |||
overrides 7.7.0 | |||
packaging 25.0 | |||
pandas 2.3.0 | |||
pandocfilters 1.5.1 | |||
parso 0.8.4 | |||
pexpect 4.9.0 | |||
pillow 11.3.0 | |||
pip 25.1 | |||
platformdirs 4.3.8 | |||
prometheus-client 0.22.1 | |||
prompt-toolkit 3.0.51 | |||
psutil 7.0.0 | |||
pthread-stubs 0.3 | |||
ptyprocess 0.7.0 | |||
pure-eval 0.2.3 | |||
pycparser 2.22 | |||
pygments 2.19.2 | |||
pyparsing 3.2.3 | |||
python 3.12.11 | |||
python-dateutil 2.9.0.post0 | |||
python-json-logger 3.3.0 | |||
pytz 2025.2 | |||
pyyaml 6.0.2 | |||
pyzmq 27.0.0 | |||
readline 8.2 | |||
referencing 0.36.2 | |||
requests 2.32.4 | |||
rfc3339-validator 0.1.4 | |||
rfc3986-validator 0.1.1 | |||
rich 14.0.0 | |||
rpds-py 0.26.0 | |||
scikit-learn 1.7.0 | |||
scipy 1.16.0 | |||
send2trash 1.8.3 | |||
setuptools 78.1.1 | |||
six 1.17.0 | |||
sniffio 1.3.1 | |||
soupsieve 2.7 | |||
sqlite 3.45.3 | |||
stack-data 0.6.3 | |||
sympy 1.14.0 | |||
terminado 0.18.1 | |||
threadpoolctl 3.6.0 | |||
tinycss2 1.4.0 | |||
tk 8.6.14 | |||
torch 2.7.1 | |||
torchaudio 2.7.1 | |||
torchvision 0.22.1 | |||
tornado 6.5.1 | |||
traitlets 5.14.3 | |||
triton 3.3.1 | |||
types-python-dateutil 2.9.0.20250516 | |||
typing-extensions 4.14.0 | |||
tzdata 2025.2 | |||
uri-template 1.3.0 | |||
urllib3 2.5.0 | |||
wcwidth 0.2.13 | |||
webcolors 24.11.1 | |||
webencodings 0.5.1 | |||
websocket-client 1.8.0 | |||
wheel 0.45.1 | |||
widgetsnbextension 4.0.14 | |||
xorg-libx11 1.8.12 | |||
xorg-libxau 1.0.12 | |||
xorg-libxdmcp 1.1.5 | |||
xorg-xorgproto 2024.1 | |||
xz 5.6.4 | |||
zlib 1.2.13 | |||
</syntaxhighlight> | |||
|} | |||
|<code>'''$CONDAENV/pytorch-2.7.1cuda'''</code> | |||
|<code>Anaconda3/2024.02-1</code> | |||
|<big>3.12</big> | |||
!V | |||
!V | |||
!V | |||
!V | |||
!V | |||
|- | |||
| | | | ||
| | {| class="wikitable mw-collapsible mw-collapsed" | ||
| | |+TensorFlow 2.19 (CUDA 12.5) | ||
| | !Package terinstal: | ||
| | |- | ||
| | |<syntaxhighlight lang="bash"> | ||
| | _libgcc_mutex 0.1 | ||
| | _openmp_mutex 5.1 | ||
absl-py 2.3.0 | |||
anyio 4.9.0 | |||
argon2-cffi 25.1.0 | |||
argon2-cffi-bindings 21.2.0 | |||
arrow 1.3.0 | |||
asttokens 3.0.0 | |||
astunparse 1.6.3 | |||
async-lru 2.0.5 | |||
attrs 25.3.0 | |||
babel 2.17.0 | |||
beautifulsoup4 4.13.4 | |||
bleach 6.2.0 | |||
bzip2 1.0.8 | |||
ca-certificates 2025.2.25 | |||
certifi 2025.6.15 | |||
cffi 1.17.1 | |||
charset-normalizer 3.4.2 | |||
comm 0.2.2 | |||
contourpy 1.3.2 | |||
cycler 0.12.1 | |||
debugpy 1.8.14 | |||
decorator 5.2.1 | |||
defusedxml 0.7.1 | |||
executing 2.2.0 | |||
expat 2.7.1 | |||
fastjsonschema 2.21.1 | |||
flatbuffers 25.2.10 | |||
fonttools 4.58.4 | |||
fqdn 1.5.1 | |||
gast 0.6.0 | |||
google-pasta 0.2.0 | |||
grpcio 1.73.1 | |||
h11 0.16.0 | |||
h5py 3.14.0 | |||
httpcore 1.0.9 | |||
httpx 0.28.1 | |||
idna 3.10 | |||
ipykernel 6.29.5 | |||
ipython 9.4.0 | |||
ipython-pygments-lexers 1.1.1 | |||
ipywidgets 8.1.7 | |||
isoduration 20.11.0 | |||
jedi 0.19.2 | |||
jinja2 3.1.6 | |||
joblib 1.5.1 | |||
json5 0.12.0 | |||
jsonpointer 3.0.0 | |||
jsonschema 4.24.0 | |||
jsonschema-specifications 2025.4.1 | |||
jupyter 1.1.1 | |||
jupyter-client 8.6.3 | |||
jupyter-console 6.6.3 | |||
jupyter-core 5.8.1 | |||
jupyter-events 0.12.0 | |||
jupyter-lsp 2.2.5 | |||
jupyter-server 2.16.0 | |||
jupyter-server-terminals 0.5.3 | |||
jupyterlab 4.4.4 | |||
jupyterlab-pygments 0.3.0 | |||
jupyterlab-server 2.27.3 | |||
jupyterlab-widgets 3.0.15 | |||
keras 3.10.0 | |||
kiwisolver 1.4.8 | |||
ld_impl_linux-64 2.40 | |||
libclang 18.1.1 | |||
libffi 3.4.4 | |||
libgcc-ng 11.2.0 | |||
libgomp 11.2.0 | |||
libstdcxx-ng 11.2.0 | |||
libuuid 1.41.5 | |||
libxcb 1.17.0 | |||
markdown 3.8.2 | |||
markdown-it-py 3.0.0 | |||
markupsafe 3.0.2 | |||
matplotlib 3.10.3 | |||
matplotlib-inline 0.1.7 | |||
mdurl 0.1.2 | |||
mistune 3.1.3 | |||
ml-dtypes 0.5.1 | |||
mpi4py 4.1.0 | |||
namex 0.1.0 | |||
nbclient 0.10.2 | |||
nbconvert 7.16.6 | |||
nbformat 5.10.4 | |||
ncurses 6.4 | |||
nest-asyncio 1.6.0 | |||
notebook 7.4.4 | |||
notebook-shim 0.2.4 | |||
numpy 2.1.3 | |||
nvidia-cublas-cu12 12.5.3.2 | |||
nvidia-cuda-cupti-cu12 12.5.82 | |||
nvidia-cuda-nvcc-cu12 12.5.82 | |||
nvidia-cuda-nvrtc-cu12 12.5.82 | |||
nvidia-cuda-runtime-cu12 12.5.82 | |||
nvidia-cudnn-cu12 9.3.0.75 | |||
nvidia-cufft-cu12 11.2.3.61 | |||
nvidia-curand-cu12 10.3.6.82 | |||
nvidia-cusolver-cu12 11.6.3.83 | |||
nvidia-cusparse-cu12 12.5.1.3 | |||
nvidia-nccl-cu12 2.23.4 | |||
nvidia-nvjitlink-cu12 12.5.82 | |||
openmpi 5.0.8 | |||
openssl 3.0.16 | |||
opt-einsum 3.4.0 | |||
optree 0.16.0 | |||
overrides 7.7.0 | |||
packaging 25.0 | |||
pandas 2.3.0 | |||
pandocfilters 1.5.1 | |||
parso 0.8.4 | |||
pexpect 4.9.0 | |||
pillow 11.3.0 | |||
pip 25.1 | |||
platformdirs 4.3.8 | |||
prometheus-client 0.22.1 | |||
prompt-toolkit 3.0.51 | |||
protobuf 5.29.5 | |||
psutil 7.0.0 | |||
pthread-stubs 0.3 | |||
ptyprocess 0.7.0 | |||
pure-eval 0.2.3 | |||
pycparser 2.22 | |||
pygments 2.19.2 | |||
pyparsing 3.2.3 | |||
python 3.11.13 | |||
python-dateutil 2.9.0.post0 | |||
python-json-logger 3.3.0 | |||
pytz 2025.2 | |||
pyyaml 6.0.2 | |||
pyzmq 27.0.0 | |||
readline 8.2 | |||
referencing 0.36.2 | |||
requests 2.32.4 | |||
rfc3339-validator 0.1.4 | |||
rfc3986-validator 0.1.1 | |||
rich 14.0.0 | |||
rpds-py 0.26.0 | |||
scikit-learn 1.7.0 | |||
scipy 1.16.0 | |||
seaborn 0.13.2 | |||
send2trash 1.8.3 | |||
setuptools 78.1.1 | |||
six 1.17.0 | |||
sniffio 1.3.1 | |||
soupsieve 2.7 | |||
sqlite 3.45.3 | |||
stack-data 0.6.3 | |||
tensorboard 2.19.0 | |||
tensorboard-data-server 0.7.2 | |||
tensorflow 2.19.0 | |||
tensorflow-io-gcs-filesystem 0.37.1 | |||
termcolor 3.1.0 | |||
terminado 0.18.1 | |||
threadpoolctl 3.6.0 | |||
tinycss2 1.4.0 | |||
tk 8.6.14 | |||
tornado 6.5.1 | |||
traitlets 5.14.3 | |||
types-python-dateutil 2.9.0.20250516 | |||
typing-extensions 4.14.0 | |||
tzdata 2025.2 | |||
uri-template 1.3.0 | |||
urllib3 2.5.0 | |||
wcwidth 0.2.13 | |||
webcolors 24.11.1 | |||
webencodings 0.5.1 | |||
websocket-client 1.8.0 | |||
werkzeug 3.1.3 | |||
wheel 0.45.1 | |||
widgetsnbextension 4.0.14 | |||
wrapt 1.17.2 | |||
xorg-libx11 1.8.12 | |||
xorg-libxau 1.0.12 | |||
xorg-libxdmcp 1.1.5 | |||
xorg-xorgproto 2024.1 | |||
xz 5.6.4 | |||
zlib 1.2.13 | |||
</syntaxhighlight> | |||
|} | |||
|<code>'''$CONDAENV/tensorflow-2.19cuda'''</code> | |||
|<code>Anaconda3/2024.02-1</code> | |||
|<big>3.11</big> | |||
!V | |||
!V | |||
!V | |||
!V | |||
!V | |||
|- | |- | ||
! colspan="9" |''Bidang Komputasi Saintifik'' | ! colspan="9" |''Bidang Komputasi Saintifik'' | ||
Baris 83: | Baris 459: | ||
| | | | ||
{| class="wikitable mw-collapsible mw-collapsed" | {| class="wikitable mw-collapsible mw-collapsed" | ||
|+BoltzTraP2 25.3.1 | |||
|- | |- | ||
!Package terinstal: | !Package terinstal: |
Revisi per 4 Juli 2025 04.06
Halaman ini menjelaskan menjalankan komputasi / aplikasi Python dengan conda environment (conda env) yang tersedia atau siap pakai di ALELEON Supercomputer.
Laman ini merupakan bagian laman [Komputasi Python] |
---|
0. Spesifikasi
Conda env siap pakai ini dibuat oleh tim admin ALELEON Supercomputer dengan spesifikasi:
- Setiap conda env spesifik menjalankan 1 package utama (contoh TensorFlow, PyTorch, BoltzTraP, dll).
- User dapat menambah instalasi package (apabila dibutuhkan) - lihat [ Subbab 3 ].
$
|
Perintah ketika conda env tidak aktif |
---|---|
(env)$
|
Perintah ketika conda env aktif |
1. Langkah Menjalanlan Komputasi
Subbab | Langkah |
---|---|
[ 2 ] | Lihat conda env tersedia dan spesifikasinya.
|
[ 3 ] | Apabila dibutuhkan, user dapat menambah instalasi package. |
[ 4 ] | Menjalankan komputasi dengan pilihan:
|
[ 5 ] | Support apabila menemui masalah. |
2. Daftar Conda Env Siap Pakai
Berikut adalah daftar conda env siap pakai yang tersedia.
- User dapat melayangkan permintaan pembuatan conda env tertentu ke tim admin melalui support@efisonlt.com.
Package Utama
dan terinstal |
Nama Conda Env | Py Package Manager | Versi
Python |
Dukungan Komputasi | ||||||
---|---|---|---|---|---|---|---|---|---|---|
CPU | GPU | MPI | Batch
Job |
Sesi
Jupyter | ||||||
Bidang AI / Machine Learning / Deep Learning | ||||||||||
|
$CONDAENV/pytorch-2.7.1cuda
|
Anaconda3/2024.02-1
|
3.12 | V | V | V | V | V | ||
|
$CONDAENV/tensorflow-2.19cuda
|
Anaconda3/2024.02-1
|
3.11 | V | V | V | V | V | ||
Bidang Komputasi Saintifik | ||||||||||
|
$CONDAENV/boltztrap2-25.3.1
|
Anaconda3/2024.02-1
|
3.11 | V | - | - | V | V |