#!/usr/bin/env python def env_command_parser(subparsers=None): if subparsers is not None: parser = subparsers.add_parser("env") else: parser = argparse.ArgumentParser("Accelerate env command") parser.add_argument( "--config_file", default=None, help="The config file to use for the default values in the launching script." ) if subparsers is not None: parser.set_defaults(func=env_command) return parser 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 def main() -> int: parser = env_command_parser() args = parser.parse_args() env_command(args) return 0 if __name__ == "__main__": raise SystemExit(main())