code: def collect_env():
      """Collect the information of the running environments.
  
      Returns:
          dict: The environment information. The following fields are contained.
  
              - sys.platform: The variable of ``sys.platform``.
              - Python: Python version.
              - CUDA available: Bool, indicating if CUDA is available.
              - GPU devices: Device type of each GPU.
              - CUDA_HOME (optional): The env var ``CUDA_HOME``.
              - NVCC (optional): NVCC version.
              - GCC: GCC version, "n/a" if GCC is not installed.
              - PyTorch: PyTorch version.
              - PyTorch compiling details: The output of \
                  ``torch.__config__.show()``.
              - TorchVision (optional): TorchVision version.
              - OpenCV: OpenCV version.
              - MMCV: MMCV version.
              - MMCV Compiler: The GCC version for compiling MMCV ops.
              - MMCV CUDA Compiler: The CUDA version for compiling MMCV ops.
      """
      env_info = {}
      env_info["sys.platform"] = sys.platform
      env_info["Python"] = sys.version.replace("\n", "")
  
      cuda_available = torch.cuda.is_available()
      env_info["CUDA available"] = cuda_available
  
      if cuda_available:
          devices = defaultdict(list)
          for k in range(torch.cuda.device_count()):
              devices[torch.cuda.get_device_name(k)].append(str(k))
          for name, device_ids in devices.items():
              env_info["GPU " + ",".join(device_ids)] = name
  
          from annotator.uniformer.mmcv.utils.parrots_wrapper import (
              _get_cuda_home,
          )
  
          CUDA_HOME = _get_cuda_home()
          env_info["CUDA_HOME"] = CUDA_HOME
  
          if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
              try:
                  nvcc = osp.join(CUDA_HOME, "bin/nvcc")
                  nvcc = subprocess.check_output(
                      f'"{nvcc}" -V | tail -n1', shell=True
                  )
                  nvcc = nvcc.decode("utf-8").strip()
              except subprocess.SubprocessError:
                  nvcc = "Not Available"
              env_info["NVCC"] = nvcc
  
      try:
          gcc = subprocess.check_output(
              "gcc --version | head -n1", shell=True
          )
          gcc = gcc.decode("utf-8").strip()
          env_info["GCC"] = gcc
      except subprocess.CalledProcessError:  # gcc is unavailable
          env_info["GCC"] = "n/a"
  
      env_info["PyTorch"] = torch.__version__
      env_info["PyTorch compiling details"] = get_build_config()
  
      try:
          import torchvision
  
          env_info["TorchVision"] = torchvision.__version__
      except ModuleNotFoundError:
          pass
  
      env_info["OpenCV"] = cv2.__version__
  
      env_info["MMCV"] = mmcv.__version__
  
      try:
          from annotator.uniformer.mmcv.ops import (
              get_compiler_version,
              get_compiling_cuda_version,
          )
      except ModuleNotFoundError:
          env_info["MMCV Compiler"] = "n/a"
          env_info["MMCV CUDA Compiler"] = "n/a"
      else:
          env_info["MMCV Compiler"] = get_compiler_version()
          env_info["MMCV CUDA Compiler"] = get_compiling_cuda_version()
  
      return env_info
  
file_path: lavis/lavis/common/annotator/uniformer/mmcv/utils/env.py
imports: import os.path
  import subprocess
  import sys
  from collections import defaultdict
  import cv2
  import torch
  import annotator.uniformer.mmcv
  from .parrots_wrapper import get_build_config
label_desc: Use image node_id 1 for calling a global function with example usage: collect_env() and returns: env_info