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absl-py==0.11.0 | ||
albumentations==1.0.0 | ||
appdirs==1.4.3 | ||
apturl==0.5.2 | ||
astunparse==1.6.3 | ||
atomicwrites==1.1.5 | ||
attrs==19.3.0 | ||
backcall==0.1.0 | ||
bcrypt==3.1.7 | ||
beautifulsoup4==4.8.2 | ||
bleach==3.1.1 | ||
blinker==1.4 | ||
blosc==1.7.0 | ||
Brlapi==0.7.0 | ||
Brotli==1.0.9 | ||
cachetools==4.0.0 | ||
caffe==1.0.0 | ||
certifi==2019.11.28 | ||
cffi==1.14.0 | ||
chardet==3.0.4 | ||
Click==7.0 | ||
cloudpickle==1.3.0 | ||
colorama==0.4.3 | ||
command-not-found==0.3 | ||
cryptography==2.8 | ||
cupshelpers==1.0 | ||
cycler==0.10.0 | ||
Cython==0.29.14 | ||
dask==2.8.1+dfsg | ||
data==0.4 | ||
dbus-python==1.2.16 | ||
decorator==4.4.2 | ||
defer==1.0.6 | ||
defusedxml==0.6.0 | ||
distlib==0.3.0 | ||
distro==1.4.0 | ||
distro-info===0.23ubuntu1 | ||
dnnlib-util==0.3.1 | ||
duplicity==0.8.12.0 | ||
efficientnet==1.1.1 | ||
entrypoints==0.3 | ||
et-xmlfile==1.0.1 | ||
faiss-gpu==1.7.1.post2 | ||
fasteners==0.14.1 | ||
filelock==3.0.12 | ||
flake8==3.7.9 | ||
flatbuffers==1.12 | ||
fsspec==0.6.1 | ||
funcsigs==1.0.2 | ||
future==0.18.2 | ||
gast==0.4.0 | ||
gdown==4.5.3 | ||
google-auth==1.30.2 | ||
google-auth-oauthlib==0.4.1 | ||
google-pasta==0.2.0 | ||
grpcio==1.34.1 | ||
h5py==3.1.0 | ||
histlite==0.9.5 | ||
html5lib==1.0.1 | ||
httplib2==0.14.0 | ||
idna==2.8 | ||
ImageDataAugmentor==0.0.0 | ||
imageio==2.9.0 | ||
importlib-metadata==1.5.0 | ||
inflate64==0.3.1 | ||
ipykernel==5.2.0 | ||
ipython==7.13.0 | ||
ipython_genutils==0.2.0 | ||
ipywidgets==7.6.3 | ||
isicarchive==0.4.11 | ||
jdcal==1.0 | ||
jedi==0.15.2 | ||
Jinja2==2.10.1 | ||
joblib==1.1.0 | ||
jsonschema==3.2.0 | ||
jupyter-client==6.1.2 | ||
jupyter-console==6.0.0 | ||
jupyter-core==4.6.3 | ||
jupyterlab-widgets==1.0.0 | ||
kaggle==1.5.12 | ||
Keras==2.3.1 | ||
Keras-Applications==1.0.8 | ||
keras-contrib==2.0.8 | ||
keras-nightly==2.5.0.dev2021032900 | ||
Keras-Preprocessing==1.1.2 | ||
keyring==18.0.1 | ||
kiwisolver==1.0.1 | ||
language-selector==0.1 | ||
latex==0.7.0 | ||
launchpadlib==1.10.13 | ||
lazr.restfulclient==0.14.2 | ||
lazr.uri==1.0.3 | ||
llvmlite==0.36.0 | ||
locket==0.2.0 | ||
lockfile==0.12.2 | ||
louis==3.12.0 | ||
lxml==4.5.0 | ||
macaroonbakery==1.3.1 | ||
Mako==1.1.0 | ||
Markdown==3.1.1 | ||
MarkupSafe==1.1.0 | ||
matplotlib==3.1.2 | ||
mccabe==0.6.1 | ||
mistune==0.8.4 | ||
monotonic==1.5 | ||
more-itertools==4.2.0 | ||
mpi4py==3.0.3 | ||
mplcursors==0.5.1 | ||
multivolumefile==0.2.3 | ||
nbconvert==5.6.1 | ||
nbformat==5.0.4 | ||
netifaces==0.10.4 | ||
networkx==2.4 | ||
nose==1.3.7 | ||
notebook==6.0.3 | ||
numba==0.53.1 | ||
numexpr==2.7.1 | ||
numpy==1.19.5 | ||
nvidia-ml-py==7.352.0 | ||
oauthlib==3.1.0 | ||
olefile==0.46 | ||
opencv-python==4.5.2.54 | ||
opencv-python-headless==4.5.2.54 | ||
openpyxl==3.0.3 | ||
opt-einsum==3.3.0 | ||
packaging==21.3 | ||
pandas==0.25.3 | ||
pandocfilters==1.4.2 | ||
parameterized==0.7.0 | ||
paramiko==2.6.0 | ||
parso==0.5.2 | ||
partd==1.0.0 | ||
patsy==0.5.2 | ||
pexpect==4.6.0 | ||
pickleshare==0.7.5 | ||
Pillow==7.0.0 | ||
plotly==5.4.0 | ||
pluggy==0.13.0 | ||
ply==3.11 | ||
POT==0.8.2 | ||
prometheus-client==0.7.1 | ||
prompt-toolkit==2.0.10 | ||
protobuf==3.17.3 | ||
psutil==5.5.1 | ||
py==1.8.1 | ||
py7zr==0.20.2 | ||
pyasn1==0.4.2 | ||
pyasn1-modules==0.2.1 | ||
pybcj==1.0.1 | ||
pycairo==1.16.2 | ||
pycodestyle==2.5.0 | ||
pycparser==2.19 | ||
pycryptodomex==3.15.0 | ||
pycuda==2019.1.2 | ||
pycups==1.9.73 | ||
pydot==1.4.1 | ||
pyflakes==2.1.1 | ||
Pygments==2.3.1 | ||
PyGObject==3.36.0 | ||
pygpu==0.7.6 | ||
pyinotify==0.9.6 | ||
PyJWT==1.7.1 | ||
pymacaroons==0.13.0 | ||
PyNaCl==1.3.0 | ||
pyOpenSSL==19.0.0 | ||
pyparsing==2.4.6 | ||
pyppmd==1.0.0 | ||
pyRFC3339==1.1 | ||
pyrsistent==0.15.5 | ||
PySocks==1.7.1 | ||
pytest==4.6.9 | ||
python-apt==2.0.0+ubuntu0.20.4.5 | ||
python-dateutil==2.7.3 | ||
python-debian===0.1.36ubuntu1 | ||
python-slugify==5.0.2 | ||
pytools==2019.1.1 | ||
pytz==2019.3 | ||
PyWavelets==0.5.1 | ||
pyxdg==0.26 | ||
PyYAML==5.3.1 | ||
pyzmq==18.1.1 | ||
pyzstd==0.15.3 | ||
reportlab==3.5.34 | ||
requests==2.22.0 | ||
requests-oauthlib==1.0.0 | ||
requests-unixsocket==0.2.0 | ||
rsa==4.0 | ||
scikit-cuda==0.5.3 | ||
scikit-image==0.16.2 | ||
scikit-learn==1.1.1 | ||
scipy==1.4.1 | ||
screen-resolution-extra==0.0.0 | ||
SecretStorage==2.3.1 | ||
Send2Trash==1.5.0 | ||
shutilwhich==1.1.0 | ||
simplejson==3.16.0 | ||
six==1.15.0 | ||
soupsieve==1.9.5 | ||
ssh-import-id==5.10 | ||
statsmodels==0.13.2 | ||
systemd-python==234 | ||
tables==3.6.1 | ||
tempdir==0.7.1 | ||
tenacity==8.0.1 | ||
tensorboard==2.5.0 | ||
tensorboard-data-server==0.6.1 | ||
tensorboard-plugin-wit==1.8.0 | ||
tensorboardX==2.4 | ||
tensorflow-addons==0.13.0 | ||
tensorflow-estimator==2.5.0 | ||
tensorflow-gpu==2.5.0 | ||
termcolor==1.1.0 | ||
terminado==0.8.2 | ||
testpath==0.4.4 | ||
text-unidecode==1.3 | ||
texttable==1.6.4 | ||
Theano==1.0.4 | ||
threadpoolctl==3.1.0 | ||
toolz==0.9.0 | ||
torch==1.9.0 | ||
torchvision==0.10.0 | ||
tornado==5.1.1 | ||
tqdm==4.61.0 | ||
traitlets==4.3.3 | ||
typeguard==2.12.1 | ||
typing-extensions==3.7.4.1 | ||
ubuntu-advantage-tools==27.2 | ||
ubuntu-drivers-common==0.0.0 | ||
ufw==0.36 | ||
unattended-upgrades==0.1 | ||
urllib3==1.25.8 | ||
usb-creator==0.3.7 | ||
virtualenv==20.0.17 | ||
wadllib==1.3.3 | ||
wcwidth==0.1.8 | ||
webencodings==0.5.1 | ||
Werkzeug==0.16.1 | ||
wget==3.2 | ||
widgetsnbextension==3.5.1 | ||
wrapt==1.12.1 | ||
xkit==0.0.0 | ||
xlrd==1.1.0 | ||
xlwt==1.3.0 | ||
zipp==1.0.0 | ||
#Python>=3.5 | ||
torch | ||
torchvision | ||
nn-torch | ||
torch-utils | ||
autograd-lib | ||
TIME-python | ||
DateTime | ||
tensorflow | ||
numpy | ||
matplotlib | ||
pandas | ||
scikit-learn | ||
pillow | ||
random2 | ||
#python-csv | ||
csv-2-json | ||
argparse | ||
#os-sys | ||
opencv-python |
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#!/bin/bash | ||
#SBATCH --job-name=stargan # Job name | ||
#SBATCH --nodes=1 # Number of nodes | ||
#SBATCH --tasks-per-node=1 # Number of tasks (processes) per node | ||
#SBATCH --cpus-per-task=1 # Number of CPU cores per task | ||
#SBATCH --gres=gpu:1 # Number of GPUs required | ||
#SBATCH --output=stargan.out # Standard output log file | ||
#SBATCH --error=stargan.err # Standard error log file | ||
#SBATCH --partition=short-gpu | ||
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# Load CUDA module | ||
module load cuda12.2/toolkit/12.2.2 | ||
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# Activate Conda environment | ||
source activate ../miniconda3/envs/stargan_env | ||
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# CUDA program | ||
python main.py --mode train --dataset RaFD --image_size 128 --c_dim 6 --rafd_image_dir /datasets/cyto_full/bone_marrow_cell_dataset/training/ --sample_dir experiments/samples --log_dir experiments/logs --model_save_dir experiments/models --result_dir experiments/results --num_iters 300000 --lambda_id 0.001 --batch_size 16 |