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adversnoise.yml
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name: adversnoise
channels:
- pytorch
- nvidia
- defaults
dependencies:
- blas=1.0=mkl
- brotli-python=1.0.9=py311hd77b12b_8
- bzip2=1.0.8=h2bbff1b_6
- ca-certificates=2024.3.11=haa95532_0
- certifi=2024.6.2=py311haa95532_0
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- cuda-cccl=12.5.39=0
- cuda-cccl_win-64=12.5.39=0
- cuda-cudart=11.8.89=0
- cuda-cudart-dev=11.8.89=0
- cuda-cupti=11.8.87=0
- cuda-libraries=11.8.0=0
- cuda-libraries-dev=11.8.0=0
- cuda-nvrtc=11.8.89=0
- cuda-nvrtc-dev=11.8.89=0
- cuda-nvtx=11.8.86=0
- cuda-profiler-api=12.5.39=0
- cuda-runtime=11.8.0=0
- cuda-version=12.5=3
- filelock=3.13.1=py311haa95532_0
- freetype=2.12.1=ha860e81_0
- gmpy2=2.1.2=py311h7f96b67_0
- idna=3.7=py311haa95532_0
- intel-openmp=2021.4.0=haa95532_3556
- jinja2=3.1.4=py311haa95532_0
- jpeg=9e=h2bbff1b_1
- lcms2=2.12=h83e58a3_0
- lerc=3.0=hd77b12b_0
- libcublas=11.11.3.6=0
- libcublas-dev=11.11.3.6=0
- libcufft=10.9.0.58=0
- libcufft-dev=10.9.0.58=0
- libcurand=10.3.6.39=0
- libcurand-dev=10.3.6.39=0
- libcusolver=11.4.1.48=0
- libcusolver-dev=11.4.1.48=0
- libcusparse=11.7.5.86=0
- libcusparse-dev=11.7.5.86=0
- libdeflate=1.17=h2bbff1b_1
- libffi=3.4.4=hd77b12b_1
- libjpeg-turbo=2.0.0=h196d8e1_0
- libnpp=11.8.0.86=0
- libnpp-dev=11.8.0.86=0
- libnvjpeg=11.9.0.86=0
- libnvjpeg-dev=11.9.0.86=0
- libpng=1.6.39=h8cc25b3_0
- libtiff=4.5.1=hd77b12b_0
- libuv=1.44.2=h2bbff1b_0
- libwebp-base=1.3.2=h2bbff1b_0
- lz4-c=1.9.4=h2bbff1b_1
- markupsafe=2.1.3=py311h2bbff1b_0
- mkl=2021.4.0=haa95532_640
- mkl-service=2.4.0=py311h2bbff1b_0
- mkl_fft=1.3.1=py311h743a336_0
- mkl_random=1.2.2=py311heda8569_0
- mpc=1.1.0=h7edee0f_1
- mpfr=4.0.2=h62dcd97_1
- mpir=3.0.0=hec2e145_1
- mpmath=1.3.0=py311haa95532_0
- networkx=3.2.1=py311haa95532_0
- numpy=1.24.3=py311ha6a8073_0
- numpy-base=1.24.3=py311h877bb12_0
- openjpeg=2.4.0=h4fc8c34_0
- openssl=3.0.13=h2bbff1b_2
- pillow=10.3.0=py311h2bbff1b_0
- pip=24.0=py311haa95532_0
- pysocks=1.7.1=py311haa95532_0
- python=3.11.9=he1021f5_0
- pytorch=2.3.1=py3.11_cuda11.8_cudnn8_0
- pytorch-cuda=11.8=h24eeafa_5
- pytorch-mutex=1.0=cuda
- pyyaml=6.0.1=py311h2bbff1b_0
- requests=2.32.2=py311haa95532_0
- setuptools=69.5.1=py311haa95532_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.45.3=h2bbff1b_0
- sympy=1.12=py311haa95532_0
- tk=8.6.14=h0416ee5_0
- typing_extensions=4.11.0=py311haa95532_0
- tzdata=2024a=h04d1e81_0
- urllib3=2.2.1=py311haa95532_0
- vc=14.2=h2eaa2aa_1
- vs2015_runtime=14.29.30133=h43f2093_3
- wheel=0.43.0=py311haa95532_0
- win_inet_pton=1.1.0=py311haa95532_0
- xz=5.4.6=h8cc25b3_1
- yaml=0.2.5=he774522_0
- zlib=1.2.13=h8cc25b3_1
- zstd=1.5.5=hd43e919_2
- pip:
- torchaudio==2.3.1
- torchvision==0.18.1
prefix: C:\Users\carlag\anaconda3\envs\adversnoise