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127 lines
3.8 KiB
Python
127 lines
3.8 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import abc
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import yaml
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from paddlex import create_pipeline
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from paddlex.inference import load_pipeline_config
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from paddlex.utils.config import AttrDict
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from .._abstract import CLISubcommandExecutor
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from .._common_args import (
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add_common_cli_opts,
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parse_common_args,
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prepare_common_init_args,
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)
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_DEFAULT_ENABLE_HPI = None
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def _merge_dicts(d1, d2):
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res = d1.copy()
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for k, v in d2.items():
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if k in res and isinstance(res[k], dict) and isinstance(v, dict):
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res[k] = _merge_dicts(res[k], v)
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else:
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res[k] = v
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return res
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def _to_builtin(obj):
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if isinstance(obj, AttrDict):
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return {k: _to_builtin(v) for k, v in obj.items()}
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elif isinstance(obj, dict):
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return {k: _to_builtin(v) for k, v in obj.items()}
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elif isinstance(obj, list):
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return [_to_builtin(item) for item in obj]
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else:
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return obj
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class PaddleXPipelineWrapper(metaclass=abc.ABCMeta):
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def __init__(
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self,
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*,
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paddlex_config=None,
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**common_args,
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):
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super().__init__()
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self._paddlex_config = paddlex_config
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self._common_args = parse_common_args(
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common_args, default_enable_hpi=_DEFAULT_ENABLE_HPI
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)
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self._merged_paddlex_config = self._get_merged_paddlex_config()
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self.paddlex_pipeline = self._create_paddlex_pipeline()
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@property
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@abc.abstractmethod
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def _paddlex_pipeline_name(self):
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raise NotImplementedError
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def export_paddlex_config_to_yaml(self, yaml_path):
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with open(yaml_path, "w", encoding="utf-8") as f:
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config = _to_builtin(self._merged_paddlex_config)
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yaml.safe_dump(config, f)
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@classmethod
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@abc.abstractmethod
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def get_cli_subcommand_executor(cls):
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raise NotImplementedError
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def _get_paddlex_config_overrides(self):
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return {}
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def _get_merged_paddlex_config(self):
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if self._paddlex_config is None:
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config = load_pipeline_config(self._paddlex_pipeline_name)
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elif isinstance(self._paddlex_config, str):
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config = load_pipeline_config(self._paddlex_config)
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else:
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config = self._paddlex_config
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overrides = self._get_paddlex_config_overrides()
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return _merge_dicts(config, overrides)
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def _create_paddlex_pipeline(self):
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kwargs = prepare_common_init_args(None, self._common_args)
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return create_pipeline(config=self._merged_paddlex_config, **kwargs)
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class PipelineCLISubcommandExecutor(CLISubcommandExecutor):
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@property
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@abc.abstractmethod
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def subparser_name(self):
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raise NotImplementedError
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def add_subparser(self, subparsers):
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subparser = subparsers.add_parser(name=self.subparser_name)
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self._update_subparser(subparser)
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add_common_cli_opts(
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subparser,
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default_enable_hpi=_DEFAULT_ENABLE_HPI,
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allow_multiple_devices=True,
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)
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subparser.add_argument(
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"--paddlex_config",
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type=str,
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help="Path to PaddleX pipeline configuration file.",
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)
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return subparser
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@abc.abstractmethod
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def _update_subparser(self, subparser):
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raise NotImplementedError
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