code: def env_command(args):
      pt_version = torch.__version__
      pt_cuda_available = torch.cuda.is_available()
      pt_xpu_available = is_xpu_available()
      pt_npu_available = is_npu_available()
  
      accelerate_config = "Not found"
      # Get the default from the config file.
      if args.config_file is not None or os.path.isfile(
          default_config_file
      ):
          accelerate_config = load_config_from_file(
              args.config_file
          ).to_dict()
  
      info = {
          "`Accelerate` version": version,
          "Platform": platform.platform(),
          "Python version": platform.python_version(),
          "Numpy version": np.__version__,
          "PyTorch version (GPU?)": f"{pt_version} ({pt_cuda_available})",
          "PyTorch XPU available": str(pt_xpu_available),
          "PyTorch NPU available": str(pt_npu_available),
          "System RAM": f"{psutil.virtual_memory().total / 1024 ** 3:.2f} GB",
      }
      if pt_cuda_available:
          info["GPU type"] = torch.cuda.get_device_name()
  
      print("\nCopy-and-paste the text below in your GitHub issue\n")
      print(
          "\n".join([f"- {prop}: {val}" for prop, val in info.items()])
      )
  
      print(
          "- `Accelerate` default config:"
          if args.config_file is None
          else "- `Accelerate` config passed:"
      )
      accelerate_config_str = (
          "\n".join(
              [
                  f"\t- {prop}: {val}"
                  for prop, val in accelerate_config.items()
              ]
          )
          if isinstance(accelerate_config, dict)
          else f"\t{accelerate_config}"
      )
      print(accelerate_config_str)
  
      info["`Accelerate` configs"] = accelerate_config
  
      return info
  
file_path: accelerate/src/accelerate/commands/env.py
imports: import argparse
  import os
  import platform
  import numpy
  import psutil
  import torch
  from accelerate import __version__
  from accelerate.commands.config import default_config_file, load_config_from_file
  from ..utils import is_npu_available, is_xpu_available
label_desc: Use image node_id 2 for calling a global function with example usage: env_command(args) and returns: info