code: 
  
  
  
  
  
  '''simple docstring'''
  
  import argparse
  import os
  
  
  __lowerCAmelCase							:			Union[str, Any]				={
      "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__":
    __lowerCAmelCase							:			Any				=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)
    __lowerCAmelCase							:			Any				=parser.parse_args()
  
    __lowerCAmelCase							:			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""")
  
    __lowerCAmelCase							:			List[Any]				=""
    if args.framework == "pytorch":
      __lowerCAmelCase							:			int				=info["cuda"]
    os.system(f"""echo \"export CUDA='{cuda}'\" >> ~/.profile""")
    print(f"""echo \"export CUDA='{cuda}'\" >> ~/.profile""")
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import numpy as np
  import PIL
  import torch
  import torchvision.transforms as T
  import torchvision.transforms.functional as TF
  from PIL import Image
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      Optional[Any]		, _lowerCamelCase      :      Union[str, Any]=2_56 ):
      A__       =    min(img.size )
  
      if s < target_image_size:
          raise ValueError(F"min dim for image {s} < {target_image_size}" )
  
      A__       =    target_image_size / s
      A__       =    (round(r * img.size[1] ), round(r * img.size[0] ))
      A__       =    TF.resize(_lowerCamelCase		, _lowerCamelCase		, interpolation=PIL.Image.LANCZOS )
      A__       =    TF.center_crop(_lowerCamelCase		, output_size=2 * [target_image_size] )
      A__       =    torch.unsqueeze(T.ToTensor()(_lowerCamelCase )		, 0 )
      return img
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      int ):
      A__       =    2.0 * x - 1.0
      return x
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      Optional[Any]		, _lowerCamelCase      :      Tuple=True		, _lowerCamelCase      :      int="RGB" ):
      A__       =    x.detach().cpu()
      if process:
          A__       =    post_process_tensor(_lowerCamelCase )
      A__       =    x.numpy()
      if process:
          A__       =    (2_55 * x).astype(np.uinta )
      A__       =    Image.fromarray(_lowerCamelCase )
      if not x.mode == mode:
          A__       =    x.convert(_lowerCamelCase )
      return x
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      Any ):
      A__       =    torch.clamp(_lowerCamelCase		, -1.0		, 1.0 )
      A__       =    (x + 1.0) / 2.0
      A__       =    x.permute(1		, 2		, 0 )
      return x
  
  
  
  
  
  def 		UpperCamelCase       (							_lowerCamelCase      :      List[Any] ):
      A__       =    post_process_tensor(x.squeeze() )
      return x.permute(2		, 0		, 1 ).unsqueeze(0 )
  
  
  
  