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import argparse
import os
past_versions_testing = {
"pytorch": {
"1.12": {
"torch": "1.12.1",
"torchvision": "0.13.1",
"torchaudio": "0.12.1",
"python": 3.9,
"cuda": "cu113",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
},
"1.11": {
"torch": "1.11.0",
"torchvision": "0.12.0",
"torchaudio": "0.11.0",
"python": 3.9,
"cuda": "cu113",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
},
"1.10": {
"torch": "1.10.2",
"torchvision": "0.11.3",
"torchaudio": "0.10.2",
"python": 3.9,
"cuda": "cu113",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
},
# torchaudio < 0.10 has no CUDA-enabled binary distributions
"1.9": {
"torch": "1.9.1",
"torchvision": "0.10.1",
"torchaudio": "0.9.1",
"python": 3.9,
"cuda": "cu111",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1"
" --extra-index-url https://download.pytorch.org/whl/cu111"
),
},
"1.8": {
"torch": "1.8.1",
"torchvision": "0.9.1",
"torchaudio": "0.8.1",
"python": 3.9,
"cuda": "cu111",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1"
" --extra-index-url https://download.pytorch.org/whl/cu111"
),
},
"1.7": {
"torch": "1.7.1",
"torchvision": "0.8.2",
"torchaudio": "0.7.2",
"python": 3.9,
"cuda": "cu110",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2"
" --extra-index-url https://download.pytorch.org/whl/cu110"
),
},
"1.6": {
"torch": "1.6.0",
"torchvision": "0.7.0",
"torchaudio": "0.6.0",
"python": 3.8,
"cuda": "cu101",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.6.0 torchvision==0.7.0 torchaudio==0.6.0"
" --extra-index-url https://download.pytorch.org/whl/cu101"
),
},
"1.5": {
"torch": "1.5.1",
"torchvision": "0.6.1",
"torchaudio": "0.5.1",
"python": 3.8,
"cuda": "cu101",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.5.1 torchvision==0.6.1 torchaudio==0.5.1"
" --extra-index-url https://download.pytorch.org/whl/cu101"
),
},
"1.4": {
"torch": "1.4.0",
"torchvision": "0.5.0",
"torchaudio": "0.4.0",
"python": 3.8,
"cuda": "cu100",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.4.0 torchvision==0.5.0 torchaudio==0.4.0"
" --extra-index-url https://download.pytorch.org/whl/cu100"
),
},
},
"tensorflow": {
"2.8": {
"tensorflow": "2.8.2",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.8.2",
},
"2.7": {
"tensorflow": "2.7.3",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.7.3",
},
"2.6": {
"tensorflow": "2.6.5",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.6.5",
},
"2.5": {
"tensorflow": "2.5.3",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.5.3",
},
# need another `nvidia:cuda` docker image, otherwise GPU not working
"2.4": {
"tensorflow": "2.4.4",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.4.4",
# This should be specified as a docker build argument.
# We keep the information here for reference only.
"base_docker": "nvidia/cuda:11.0.3-cudnn8-devel-ubuntu20.04",
},
},
}
if __name__ == "__main__":
parser = argparse.ArgumentParser("Choose the framework and version to install")
parser.add_argument(
"--framework", help="The framework to install. Should be `torch` or `tensorflow`", type=str, required=True
)
parser.add_argument("--version", help="The version of the framework to install.", type=str, required=True)
args = parser.parse_args()
info = past_versions_testing[args.framework][args.version]
os.system(f'echo "export INSTALL_CMD=\'{info["install"]}\'" >> ~/.profile')
print(f'echo "export INSTALL_CMD=\'{info["install"]}\'" >> ~/.profile')
cuda = ""
if args.framework == "pytorch":
cuda = info["cuda"]
os.system(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")
print(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")
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