'''simple docstring'''




import argparse
import os


_UpperCamelCase				:		Optional[int]       			=		{
    'pytorch': {
        '1.13': {
            'torch': '1.13.1',
            'torchvision': '0.14.1',
            'torchaudio': '0.13.1',
            'python': 3.9,
            'cuda': 'cu116',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1'
                ' --extra-index-url https://download.pytorch.org/whl/cu116'
            ),
            'base_image': 'nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04',
        },
        '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'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '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'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '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'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        # 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'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
    },
    'tensorflow': {
        '2.11': {
            'tensorflow': '2.11.1',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.11.1',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.10': {
            'tensorflow': '2.10.1',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.10.1',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.9': {
            'tensorflow': '2.9.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.9.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.8': {
            'tensorflow': '2.8.2',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.8.2',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.7': {
            'tensorflow': '2.7.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.7.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.6': {
            'tensorflow': '2.6.5',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.6.5',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.5': {
            'tensorflow': '2.5.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.5.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
    },
}


if __name__ == "__main__":
     _UpperCamelCase				:		List[str]       			=		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)
     _UpperCamelCase				:		Tuple       			=		parser.parse_args()

     _UpperCamelCase				:		int       			=		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")

     _UpperCamelCase				:		Tuple       			=		''
     if args.framework == "pytorch":
          _UpperCamelCase				:		Any       			=		info['cuda']
     os.system(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")
     print(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")




'''simple docstring'''




import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
     from .testing_utils import (
         floats_tensor,
         load_hf_numpy,
         load_image,
         load_numpy,
         load_pt,
         nightly,
         parse_flag_from_env,
         print_tensor_test,
         require_torch_a,
         require_torch_gpu,
         skip_mps,
         slow,
         torch_all_close,
         torch_device,
     )
     from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


_UpperCamelCase				:		List[Any]       			=		get_logger(__name__)



def 						__snake_case (       lowerCAmelCase       :     List[str]			):
 if version.parse(lowerCAmelCase			) < version.parse(lowerCAmelCase			):
  if "dev" in min_version:
   __UpperCAmelCase         =					(
       'This example requires a source install from HuggingFace diffusers (see '
       '`https://huggingface.co/docs/diffusers/installation#install-from-source`),'
   )
  else:
   __UpperCAmelCase         =					F"""This example requires a minimum version of {min_version},"""
  error_message += F""" but the version found is {__version__}.\n"""
  raise ImportError(lowerCAmelCase			)



