code: def is_cuda_compatible():
      """
      Check if the system has CUDA-compatible devices with the required architecture and
      compiled CUDA version.
  
      This function checks the compatibility of CUDA devices available on the system by
      comparing their architectures and the compiled CUDA version. It iterates through
      the available devices and verifies if their architectures meet the minimum
      requirement specified by the function, and also checks if the compiled CUDA
      version is greater than a specific version.
  
      Returns:
          bool: True if there are compatible CUDA devices, otherwise False.
  
      Example:
          >>> is_compatible = is_cuda_compatible()
          >>> print(is_compatible)
          True
      """
      compatible_device_count = 0
      if torch.version.cuda is not None:
          for d in range(device_count()):
              capability = get_device_capability(d)
              major = capability[0]
              minor = capability[1]
              current_arch = major * 10 + minor
              min_arch = min(
                  (
                      int(arch.split("_")[1])
                      for arch in torch.cuda.get_arch_list()
                  ),
                  default=35,
              )
              if (
                  not current_arch < min_arch
                  and not torch._C._cuda_getCompiledVersion() <= 9000
              ):
                  compatible_device_count += 1
  
      if compatible_device_count > 0:
          return True
      return False
  
imports: import torch
  import os
  from random import randint
  from torch.cuda import device_count, get_device_capability
label_desc: Use image node_id 1 for calling a global function with example usage: is_cuda_compatible() and returns: False, True