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1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -7,3 +7,4 @@ VAE.py
model_checkpoint.pt
GP_original_data.py
Attention_network.py
*.pt
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1 change: 1 addition & 0 deletions BML_project/active_learning/ss_active_learning.py
Original file line number Diff line number Diff line change
Expand Up @@ -54,6 +54,7 @@ def run_minibatch_kmeans(data_loader, n_clusters, device, batch_size=100):
for batch in data_loader:
data = batch['data'].view(batch['data'].size(0), -1).to(device).cpu().numpy()
minibatch_kmeans.partial_fit(data)
# minibatch_kmeans.fit(data) # Dong, 01/22/2024: Debug

return minibatch_kmeans

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272 changes: 272 additions & 0 deletions BML_project/cassey_CS330_torch.yml
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@@ -0,0 +1,272 @@
name: CS330_torch
channels:
- pytorch
- nvidia
- anaconda
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- abseil-cpp=20211102.0=h27087fc_1
- absl-py=2.0.0=pyhd8ed1ab_0
- aiohttp=3.8.5=py311h5eee18b_0
- aiosignal=1.3.1=pyhd8ed1ab_0
- asttokens=2.4.0=pyhd8ed1ab_0
- async-timeout=4.0.2=py311h06a4308_0
- attrs=23.1.0=pyh71513ae_1
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=pyhd8ed1ab_3
- backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0
- blas=1.1=openblas
- blinker=1.6.3=pyhd8ed1ab_0
- bottleneck=1.3.5=py311hbed6279_0
- brotli=1.0.9=h9c3ff4c_4
- brotlipy=0.7.0=py311h5eee18b_1002
- bzip2=1.0.8=h7b6447c_0
- c-ares=1.19.1=h5eee18b_0
- ca-certificates=2023.12.12=h06a4308_0
- cachetools=5.3.1=pyhd8ed1ab_0
- cairo=1.16.0=hb05425b_5
- certifi=2023.11.17=py311h06a4308_0
- cffi=1.15.1=py311h5eee18b_3
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- click=8.1.7=unix_pyh707e725_0
- cloudpickle=2.2.1=pyhd8ed1ab_0
- colorama=0.4.6=pyhd8ed1ab_0
- comm=0.1.4=pyhd8ed1ab_0
- contourpy=1.0.5=py311hdb19cb5_0
- cryptography=41.0.3=py311hdda0065_0
- cuda-cudart=11.8.89=0
- cuda-cupti=11.8.87=0
- cuda-libraries=11.8.0=0
- cuda-nvrtc=11.8.89=0
- cuda-nvtx=11.8.86=0
- cuda-runtime=11.8.0=0
- cycler=0.12.1=pyhd8ed1ab_0
- cyrus-sasl=2.1.28=h52b45da_1
- dbus=1.13.18=hb2f20db_0
- debugpy=1.6.7=py311h6a678d5_0
- decorator=5.1.1=pyhd8ed1ab_0
- eigen=3.4.0=h4bd325d_0
- exceptiongroup=1.1.3=pyhd8ed1ab_0
- executing=1.2.0=pyhd8ed1ab_0
- expat=2.5.0=h6a678d5_0
- ffmpeg=4.2.2=h20bf706_0
- filelock=3.9.0=py311h06a4308_0
- fontconfig=2.14.1=h4c34cd2_2
- fonttools=4.25.0=pyhd3eb1b0_0
- freetype=2.12.1=h4a9f257_0
- frozenlist=1.3.3=py311h5eee18b_0
- fsspec=2023.10.0=pyhca7485f_0
- giflib=5.2.1=h5eee18b_3
- glib=2.69.1=he621ea3_2
- gmp=6.2.1=h295c915_3
- gmpy2=2.1.2=py311hc9b5ff0_0
- gnutls=3.6.15=he1e5248_0
- google-auth=2.23.2=pyhca7485f_0
- google-auth-oauthlib=1.0.0=pyhd8ed1ab_1
- googledrivedownloader=0.4=pyhd3deb0d_1
- gpytorch=1.11=pyhd8ed1ab_0
- graphite2=1.3.14=h295c915_1
- grpc-cpp=1.48.2=he1ff14a_1
- grpcio=1.48.2=py311he1ff14a_1
- gst-plugins-base=1.14.1=h6a678d5_1
- gstreamer=1.14.1=h5eee18b_1
- h5py=3.9.0=py311hdd6beaf_0
- harfbuzz=4.3.0=hf52aaf7_1
- hdf5=1.12.1=h2b7332f_3
- icu=58.2=hf484d3e_1000
- idna=3.4=py311h06a4308_0
- imageio=2.31.5=pyh8c1a49c_0
- importlib-metadata=6.8.0=pyha770c72_0
- importlib_metadata=6.8.0=hd8ed1ab_0
- iniconfig=1.1.1=pyhd3eb1b0_0
- intel-openmp=2023.1.0=hdb19cb5_46305
- ipykernel=6.25.2=pyh2140261_0
- ipython=8.16.1=pyh0d859eb_0
- jaxtyping=0.2.25=pyhd8ed1ab_0
- jedi=0.19.1=pyhd8ed1ab_0
- jinja2=3.1.2=py311h06a4308_0
- joblib=1.2.0=py311h06a4308_0
- jpeg=9e=h5eee18b_1
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- jupyter_core=4.12.0=py311h38be061_0
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- krb5=1.20.1=h143b758_1
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
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- libclang13=14.0.6=default_he11475f_1
- libcublas=11.11.3.6=0
- libcufft=10.9.0.58=0
- libcufile=1.7.2.10=0
- libcups=2.4.2=h2d74bed_1
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- libcurl=7.88.1=h251f7ec_2
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- libcusparse=11.7.5.86=0
- libdeflate=1.17=h5eee18b_1
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- libev=4.33=h7f8727e_1
- libevent=2.1.12=hdbd6064_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgfortran=3.0.0=1
- libgfortran-ng=11.2.0=h00389a5_1
- libgfortran5=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.4=h5eee18b_0
- libjpeg-turbo=2.0.0=h9bf148f_0
- libllvm14=14.0.6=hdb19cb5_3
- libnghttp2=1.52.0=h2d74bed_1
- libnpp=11.8.0.86=0
- libnvjpeg=11.9.0.86=0
- libopenblas=0.3.21=h043d6bf_0
- libopus=1.3.1=h7f98852_1
- libpng=1.6.39=h5eee18b_0
- libpq=12.15=hdbd6064_1
- libprotobuf=3.20.3=he621ea3_0
- libsodium=1.0.18=h36c2ea0_1
- libssh2=1.10.0=hdbd6064_2
- libstdcxx-ng=11.2.0=h1234567_1
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- libtiff=4.5.1=h6a678d5_0
- libunistring=0.9.10=h27cfd23_0
- libuuid=1.41.5=h5eee18b_0
- libvpx=1.7.0=h439df22_0
- libwebp=1.3.2=h11a3e52_0
- libwebp-base=1.3.2=h5eee18b_0
- libxcb=1.15=h7f8727e_0
- libxkbcommon=1.0.1=h5eee18b_1
- libxml2=2.10.4=hcbfbd50_0
- libxslt=1.1.37=h2085143_0
- linear_operator=0.5.2=pyhd8ed1ab_0
- llvm-openmp=14.0.6=h9e868ea_0
- lockfile=0.12.2=py311h06a4308_0
- lz4-c=1.9.4=h6a678d5_0
- markdown=3.5=pyhd8ed1ab_0
- markupsafe=2.1.1=py311h5eee18b_0
- matplotlib=3.7.2=py311h06a4308_0
- matplotlib-base=3.7.2=py311ha02d727_0
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
- mkl=2023.1.0=h213fc3f_46343
- mkl-service=2.4.0=py311h5eee18b_1
- mpc=1.1.0=h10f8cd9_1
- mpfr=4.0.2=hb69a4c5_1
- mpmath=1.3.0=py311h06a4308_0
- multidict=6.0.2=py311h5eee18b_0
- munkres=1.1.4=pyh9f0ad1d_0
- mysql=5.7.24=h721c034_2
- ncurses=6.4=h6a678d5_0
- nest-asyncio=1.5.6=pyhd8ed1ab_0
- nettle=3.7.3=hbbd107a_1
- networkx=3.1=py311h06a4308_0
- ninja=1.10.2=h06a4308_5
- ninja-base=1.10.2=hd09550d_5
- numexpr=2.8.7=py311h812550d_0
- numpy=1.26.0=py311h24aa872_0
- numpy-base=1.26.0=py311hbfb1bba_0
- oauthlib=3.2.2=pyhd8ed1ab_0
- openblas=0.3.3=ha44fe06_1
- opencv=4.6.0=py311h10ae9b0_5
- openh264=2.1.1=h4ff587b_0
- openjpeg=2.4.0=h3ad879b_0
- openssl=3.0.12=h7f8727e_0
- opt_einsum=3.3.0=pyhc1e730c_2
- packaging=23.2=pyhd8ed1ab_0
- pandas=2.0.3=py311ha02d727_0
- parso=0.8.3=pyhd8ed1ab_0
- pcre=8.45=h9c3ff4c_0
- pexpect=4.8.0=pyh1a96a4e_2
- pickleshare=0.7.5=pyhd3eb1b0_1003
- pillow=10.0.1=py311ha6cbd5a_0
- pip=23.2.1=py311h06a4308_0
- pixman=0.40.0=h7f8727e_1
- pluggy=1.0.0=py311h06a4308_1
- ply=3.11=py_1
- pretty_errors=1.2.25=pyhd8ed1ab_0
- prompt-toolkit=3.0.39=pyha770c72_0
- prompt_toolkit=3.0.39=hd8ed1ab_0
- protobuf=3.20.3=py311h6a678d5_0
- psutil=5.9.0=py311h5eee18b_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pyasn1=0.5.0=pyhd8ed1ab_0
- pyasn1-modules=0.3.0=pyhd8ed1ab_0
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- pygments=2.16.1=pyhd8ed1ab_0
- pyjwt=2.8.0=pyhd8ed1ab_0
- pyopenssl=23.2.0=py311h06a4308_0
- pyparsing=3.0.9=pyhd8ed1ab_0
- pyqt=5.15.7=py311h6a678d5_0
- pyqt5-sip=12.11.0=py311h6a678d5_0
- pysocks=1.7.1=py311h06a4308_0
- pytest=7.4.0=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python-tzdata=2023.3=pyhd3eb1b0_0
- python_abi=3.11=2_cp311
- pytorch=2.1.0=cpu_py311h53e38e9_0
- pytorch-cuda=11.8=h7e8668a_5
- pytorch-model-summary=0.1.1=py_0
- pytorch-mutex=1.0=cuda
- pytz=2023.3.post1=py311h06a4308_0
- pyu2f=0.1.5=pyhd8ed1ab_0
- pyyaml=6.0=py311h5eee18b_1
- pyzmq=25.1.0=py311h6a678d5_0
- qt-main=5.15.2=h7358343_9
- qt-webengine=5.15.9=hbbf29b9_6
- qtwebkit=5.212=h3fafdc1_5
- re2=2022.04.01=h27087fc_0
- readline=8.2=h5eee18b_0
- requests=2.31.0=py311h06a4308_0
- requests-oauthlib=1.3.1=pyhd8ed1ab_0
- rsa=4.9=pyhd8ed1ab_0
- scikit-learn=1.2.2=py311h6a678d5_1
- scipy=1.11.3=py311h24aa872_0
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- setuptools=68.0.0=py311h06a4308_0
- sip=6.6.2=py311h6a678d5_0
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- sqlite=3.41.2=h5eee18b_0
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- sympy=1.11.1=py311h06a4308_0
- tbb=2021.8.0=hdb19cb5_0
- tensorboard=2.14.1=pyhd8ed1ab_0
- tensorboard-data-server=0.7.0=py311h52d8a92_0
- threadpoolctl=2.2.0=pyh0d69192_0
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- torchaudio=2.1.0=py311_cu118
- torchinfo=1.8.0=pyhd8ed1ab_0
- torchtriton=2.1.0=py311
- torchvision=0.15.2=cpu_py311h6e929fa_0
- tornado=6.3.3=py311h5eee18b_0
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- x264=1!157.20191217=h7b6447c_0
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- zeromq=4.3.4=h9c3ff4c_1
- zipp=3.17.0=pyhd8ed1ab_0
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- zstd=1.5.5=hc292b87_0
- pip:
- beautifulsoup4==4.12.2
- gdown==4.7.1
- soupsieve==2.5
- torchsummary==1.5.1
prefix: /home/doh16101/anaconda3/envs/CS330_torch
22 changes: 22 additions & 0 deletions BML_project/models/Colab_example_dataloader_2024_04_04.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# R:\\ENGR_Chon\\Darren\\NIH_Pulsewatch\\Poincare_pt\\128x128\n",
"# Darren created the PT files again (because UID 120 has missing files in the original csv file)\n",
"# I need to prepare for my interview, and I will tar those PT files again and test your code on Colab later."
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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