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import shutil
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from argparse import ArgumentParser, Namespace
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from pathlib import Path
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from tempfile import TemporaryDirectory
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from mmengine.config import Config
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from mmengine.utils import mkdir_or_exist
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try:
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from model_archiver.model_packaging import package_model
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from model_archiver.model_packaging_utils import ModelExportUtils
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except ImportError:
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raise ImportError('`torch-model-archiver` is required.'
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'Try: pip install torch-model-archiver')
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def mmaction2torchserve(
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config_file: str,
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checkpoint_file: str,
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output_folder: str,
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model_name: str,
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label_file: str,
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model_version: str = '1.0',
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force: bool = False,
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):
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"""Converts MMAction2 model (config + checkpoint) to TorchServe `.mar`.
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Args:
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config_file (str): In MMAction2 config format.
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checkpoint_file (str): In MMAction2 checkpoint format.
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output_folder (str): Folder where `{model_name}.mar` will be created.
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The file created will be in TorchServe archive format.
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label_file (str): A txt file which contains the action category names.
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model_name (str | None): If not None, used for naming the
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`{model_name}.mar` file that will be created under `output_folder`.
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If None, `{Path(checkpoint_file).stem}` will be used.
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model_version (str): Model's version.
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force (bool): If True, if there is an existing `{model_name}.mar` file
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under `output_folder` it will be overwritten.
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"""
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mkdir_or_exist(output_folder)
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config = Config.fromfile(config_file)
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with TemporaryDirectory() as tmpdir:
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config.dump(f'{tmpdir}/config.py')
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shutil.copy(label_file, f'{tmpdir}/label_map.txt')
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args = Namespace(
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**{
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'model_file': f'{tmpdir}/config.py',
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'serialized_file': checkpoint_file,
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'handler': f'{Path(__file__).parent}/mmaction_handler.py',
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'model_name': model_name or Path(checkpoint_file).stem,
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'version': model_version,
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'export_path': output_folder,
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'force': force,
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'requirements_file': None,
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'extra_files': f'{tmpdir}/label_map.txt',
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'runtime': 'python',
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'archive_format': 'default'
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})
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manifest = ModelExportUtils.generate_manifest_json(args)
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package_model(args, manifest)
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def parse_args():
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parser = ArgumentParser(
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description='Convert MMAction2 models to TorchServe `.mar` format.')
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parser.add_argument('config', type=str, help='config file path')
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parser.add_argument('checkpoint', type=str, help='checkpoint file path')
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parser.add_argument(
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'--output-folder',
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type=str,
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required=True,
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help='Folder where `{model_name}.mar` will be created.')
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parser.add_argument(
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'--model-name',
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type=str,
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default=None,
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help='If not None, used for naming the `{model_name}.mar`'
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'file that will be created under `output_folder`.'
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'If None, `{Path(checkpoint_file).stem}` will be used.')
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parser.add_argument(
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'--label-file',
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type=str,
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default=None,
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help='A txt file which contains the action category names. ')
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parser.add_argument(
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'--model-version',
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type=str,
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default='1.0',
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help='Number used for versioning.')
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parser.add_argument(
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'-f',
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'--force',
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action='store_true',
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help='overwrite the existing `{model_name}.mar`')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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args = parse_args()
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mmaction2torchserve(args.config, args.checkpoint, args.output_folder,
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args.model_name, args.label_file, args.model_version,
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args.force)
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