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requirements.txt
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144 lines (144 loc) · 3.78 KB
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=conda_forge
_openmp_mutex=4.5=2_gnu
_sysroot_linux-64_curr_repodata_hack=3=h69a702a_16
aom=3.6.0=h6a678d5_0
binutils_impl_linux-64=2.40=ha1999f0_7
blas=1.0=mkl
brotli-python=1.0.9=py39h6a678d5_8
bzip2=1.0.8=h5eee18b_6
c-ares=1.19.1=h5eee18b_0
ca-certificates=2024.8.30=hbcca054_0
cairo=1.16.0=hb05425b_5
certifi=2024.8.30=py39h06a4308_0
cffi=1.17.1=pypi_0
charset-normalizer=3.3.2=pyhd3eb1b0_0
cmake=3.26.4=h96355d8_0
conda-pack=0.8.1=pypi_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
cuda-version=12.6=3
dav1d=1.2.1=h5eee18b_0
expat=2.6.3=h6a678d5_0
ffmpeg=6.1.1=h4c62175_0
filelock=3.13.1=py39h06a4308_0
fontconfig=2.14.1=h4c34cd2_2
freetype=2.12.1=h4a9f257_0
gcc=14.1.0=h6f9ffa1_1
gcc_impl_linux-64=14.1.0=h3c94d91_1
giflib=5.2.1=h5eee18b_3
glib=2.78.4=h6a678d5_0
glib-tools=2.78.4=h6a678d5_0
gmp=6.2.1=h295c915_3
gmpy2=2.1.2=py39heeb90bb_0
graphite2=1.3.14=h295c915_1
gxx=14.1.0=h6f9ffa1_1
gxx_impl_linux-64=14.1.0=h8d00ecb_1
harfbuzz=4.3.0=hf52aaf7_2
icu=73.1=h6a678d5_0
idna=3.7=py39h06a4308_0
intel-openmp=2023.1.0=hdb19cb5_46306
jinja2=3.1.4=py39h06a4308_0
jpeg=9e=h5eee18b_3
kernel-headers_linux-64=3.10.0=h4a8ded7_16
krb5=1.20.1=h143b758_1
lame=3.100=h7b6447c_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.40=hf3520f5_7
leptonica=1.82.0=h42c8aad_2
lerc=3.0=h295c915_0
libarchive=3.6.2=h6ac8c49_3
libcublas=11.11.3.6=0
libcufft=10.9.0.58=0
libcufile=1.11.1.6=0
libcurand=10.3.7.68=0
libcurl=8.9.1=h251f7ec_0
libcusolver=11.4.1.48=0
libcusparse=11.7.5.86=0
libdeflate=1.17=h5eee18b_1
libedit=3.1.20230828=h5eee18b_0
libev=4.33=h7f8727e_1
libffi=3.4.4=h6a678d5_1
libgcc=14.1.0=h77fa898_1
libgcc-devel_linux-64=14.1.0=h5d3d1c9_101
libgcc-ng=14.1.0=h69a702a_1
libglib=2.78.4=hdc74915_0
libgomp=14.1.0=h77fa898_1
libiconv=1.16=h5eee18b_3
libjpeg-turbo=2.0.0=h9bf148f_0
libnghttp2=1.57.0=h2d74bed_0
libnpp=11.8.0.86=0
libnvjpeg=11.9.0.86=0
libogg=1.3.5=h27cfd23_1
libopus=1.3.1=h7b6447c_0
libpng=1.6.39=h5eee18b_0
libsanitizer=14.1.0=hcba0ae0_1
libssh2=1.11.0=h251f7ec_0
libstdcxx=14.1.0=hc0a3c3a_1
libstdcxx-devel_linux-64=14.1.0=h5d3d1c9_101
libstdcxx-ng=11.2.0=h1234567_1
libtheora=1.1.1=h7f8727e_3
libtiff=4.5.1=h6a678d5_0
libuuid=1.41.5=h5eee18b_0
libuv=1.48.0=h5eee18b_0
libvorbis=1.3.7=h7b6447c_0
libvpx=1.13.1=h6a678d5_0
libwebp=1.3.2=h11a3e52_0
libwebp-base=1.3.2=h5eee18b_0
libxcb=1.15=h7f8727e_0
libxml2=2.10.4=hfdd30dd_2
llvm-openmp=14.0.6=h9e868ea_0
lz4-c=1.9.4=h6a678d5_1
markupsafe=2.1.3=py39h5eee18b_0
mkl=2023.1.0=h213fc3f_46344
mkl-service=2.4.0=py39h5eee18b_1
mkl_fft=1.3.10=py39h5eee18b_0
mkl_random=1.2.7=py39h1128e8f_0
mpc=1.1.0=h10f8cd9_1
mpfr=4.0.2=hb69a4c5_1
mpmath=1.3.0=py39h06a4308_0
ncurses=6.4=h6a678d5_0
networkx=3.2.1=py39h06a4308_0
numpy=1.23.4=pypi_0
openh264=2.1.1=h4ff587b_0
openjpeg=2.5.2=he7f1fd0_0
openssl=3.3.2=hb9d3cd8_0
pcre2=10.42=hebb0a14_1
pillow=10.4.0=py39h5eee18b_0
pip=24.2=py39h06a4308_0
pixman=0.40.0=h7f8727e_1
pycparser=2.22=pypi_0
pysocks=1.7.1=py39h06a4308_0
python=3.9.19=h955ad1f_1
pytorch=2.1.1=py3.9_cuda11.8_cudnn8.7.0_0
pytorch-cuda=11.8=h7e8668a_5
pytorch-mutex=1.0=cuda
pyyaml=6.0.1=py39h5eee18b_0
readline=8.2=h5eee18b_0
requests=2.32.3=py39h06a4308_0
rhash=1.4.3=hdbd6064_0
setuptools=72.1.0=py39h06a4308_0
soundfile=0.13.0=pypi_0
sqlite=3.45.3=h5eee18b_0
sympy=1.13.2=py39h06a4308_0
sysroot_linux-64=2.17=h4a8ded7_16
tbb=2021.8.0=hdb19cb5_0
tesseract=5.2.0=h6a678d5_0
tk=8.6.14=h39e8969_0
torchaudio=2.1.1=py39_cu118
torchtriton=2.1.0=py39
torchvision=0.16.1=py39_cu118
typing_extensions=4.11.0=py39h06a4308_0
tzdata=2024a=h04d1e81_0
urllib3=2.2.2=py39h06a4308_0
wheel=0.43.0=py39h06a4308_0
xz=5.4.6=h5eee18b_1
yaml=0.2.5=h7b6447c_0
zlib=1.2.13=h5eee18b_1
zstd=1.5.5=hc292b87_2