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from typing import Dict, Tuple
import sys
import os
import platform
import tempfile
import subprocess
from argparse import ArgumentParser, HelpFormatter
subprocess.call([ 'pip', 'install' , 'inquirer', '-q' ])
import inquirer
from DeepFakeAI import metadata, wording
TORCH : Dict[str, str] =\
{
'default': 'default',
'cpu': 'cpu'
}
ONNXRUNTIMES : Dict[str, Tuple[str, str]] =\
{
'default': ('onnxruntime', '1.16.3')
}
if platform.system().lower() == 'linux' or platform.system().lower() == 'windows':
TORCH['cuda'] = 'cu118'
TORCH['cuda-nightly'] = 'cu121'
ONNXRUNTIMES['cuda'] = ('onnxruntime-gpu', '1.16.3')
ONNXRUNTIMES['cuda-nightly'] = ('ort-nightly-gpu', '1.17.0.dev20231205004')
ONNXRUNTIMES['openvino'] = ('onnxruntime-openvino', '1.16.0')
if platform.system().lower() == 'linux':
TORCH['rocm'] = 'rocm5.6'
ONNXRUNTIMES['rocm'] = ('onnxruntime-rocm', '1.16.3')
if platform.system().lower() == 'darwin':
ONNXRUNTIMES['coreml-legacy'] = ('onnxruntime-coreml', '1.13.1')
ONNXRUNTIMES['coreml-silicon'] = ('onnxruntime-silicon', '1.16.0')
if platform.system().lower() == 'windows':
ONNXRUNTIMES['directml'] = ('onnxruntime-directml', '1.16.3')
def cli() -> None:
program = ArgumentParser(formatter_class = lambda prog: HelpFormatter(prog, max_help_position = 120))
program.add_argument('--torch', help = wording.get('install_dependency_help').format(dependency = 'torch'), choices = TORCH.keys())
program.add_argument('--onnxruntime', help = wording.get('install_dependency_help').format(dependency = 'onnxruntime'), choices = ONNXRUNTIMES.keys())
program.add_argument('--skip-venv', help = wording.get('skip_venv_help'), action = 'store_true')
program.add_argument('-v', '--version', version = metadata.get('name') + ' ' + metadata.get('version'), action = 'version')
run(program)
def run(program : ArgumentParser) -> None:
args = program.parse_args()
python_id = 'cp' + str(sys.version_info.major) + str(sys.version_info.minor)
if not args.skip_venv:
os.environ['PIP_REQUIRE_VIRTUALENV'] = '1'
if args.torch and args.onnxruntime:
answers =\
{
'torch': args.torch,
'onnxruntime': args.onnxruntime
}
else:
answers = inquirer.prompt(
[
inquirer.List('torch', message = wording.get('install_dependency_help').format(dependency = 'torch'), choices = list(TORCH.keys())),
inquirer.List('onnxruntime', message = wording.get('install_dependency_help').format(dependency = 'onnxruntime'), choices = list(ONNXRUNTIMES.keys()))
])
if answers:
torch = answers['torch']
torch_wheel = TORCH[torch]
onnxruntime = answers['onnxruntime']
onnxruntime_name, onnxruntime_version = ONNXRUNTIMES[onnxruntime]
subprocess.call([ 'pip', 'uninstall', 'torch', '-y', '-q' ])
if torch_wheel == 'default':
subprocess.call([ 'pip', 'install', '-r', 'requirements.txt' ])
else:
subprocess.call([ 'pip', 'install', '-r', 'requirements.txt', '--extra-index-url', 'https://download.pytorch.org/whl/' + torch_wheel ])
if onnxruntime == 'rocm':
if python_id in [ 'cp39', 'cp310', 'cp311' ]:
wheel_name = 'onnxruntime_training-' + onnxruntime_version + '+rocm56-' + python_id + '-' + python_id + '-manylinux_2_17_x86_64.manylinux2014_x86_64.whl'
wheel_path = os.path.join(tempfile.gettempdir(), wheel_name)
wheel_url = 'https://download.onnxruntime.ai/' + wheel_name
subprocess.call([ 'curl', '--silent', '--location', '--continue-at', '-', '--output', wheel_path, wheel_url ])
subprocess.call([ 'pip', 'uninstall', wheel_path, '-y', '-q' ])
subprocess.call([ 'pip', 'install', wheel_path ])
os.remove(wheel_path)
else:
subprocess.call([ 'pip', 'uninstall', 'onnxruntime', onnxruntime_name, '-y', '-q' ])
if onnxruntime == 'cuda-nightly':
subprocess.call([ 'pip', 'install', onnxruntime_name + '==' + onnxruntime_version, '--extra-index-url', 'https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-12-nightly/pypi/simple' ])
else:
subprocess.call([ 'pip', 'install', onnxruntime_name + '==' + onnxruntime_version ])
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