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| #!/usr/bin/env python | |
| # Copyright 2022 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import argparse | |
| import os | |
| import platform | |
| import numpy as np | |
| import psutil | |
| import torch | |
| from accelerate import __version__ as version | |
| from accelerate.commands.config import default_config_file, load_config_from_file | |
| from ..utils import is_npu_available, is_xpu_available | |
| 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()) | |