exportor.py 4.0 KB

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  1. # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. import os
  15. from pathlib import Path
  16. from abc import ABC, abstractmethod
  17. from .build_model import build_model
  18. from ...utils.device import update_device_num, set_env_for_device
  19. from ...utils.misc import AutoRegisterABCMetaClass
  20. from ...utils.config import AttrDict
  21. from ...utils import logging
  22. def build_exportor(config: AttrDict) -> "BaseExportor":
  23. """build model exportor
  24. Args:
  25. config (AttrDict): PaddleX pipeline config, which is loaded from pipeline yaml file.
  26. Returns:
  27. BaseExportor: the exportor, which is subclass of BaseExportor.
  28. """
  29. model_name = config.Global.model
  30. try:
  31. import feature_line_modules
  32. except ModuleNotFoundError:
  33. logging.info(
  34. "The PaddleX FeaTure Line plugin is not installed, but continuing execution."
  35. )
  36. return BaseExportor.get(model_name)(config)
  37. class BaseExportor(ABC, metaclass=AutoRegisterABCMetaClass):
  38. """Base Model Exportor"""
  39. __is_base = True
  40. def __init__(self, config):
  41. """Initialize the instance.
  42. Args:
  43. config (AttrDict): PaddleX pipeline config, which is loaded from pipeline yaml file.
  44. """
  45. super().__init__()
  46. self.global_config = config.Global
  47. self.export_config = config.Export
  48. config_path = self.get_config_path(self.export_config.weight_path)
  49. if self.export_config.get("basic_config_path", None):
  50. config_path = self.export_config.get("basic_config_path", None)
  51. self.pdx_config, self.pdx_model = build_model(
  52. self.global_config.model, config_path=config_path
  53. )
  54. def get_config_path(self, weight_path):
  55. """
  56. get config path
  57. Args:
  58. weight_path (str): The path to the weight
  59. Returns:
  60. config_path (str): The path to the config
  61. """
  62. config_path = Path(weight_path).parent / "config.yaml"
  63. if not config_path.exists():
  64. logging.warning(
  65. f"The config file(`{config_path}`) related to weight file(`{weight_path}`) is not exist, use default instead."
  66. )
  67. config_path = None
  68. return config_path
  69. def export(self) -> dict:
  70. """execute model exporting
  71. Returns:
  72. dict: the export metrics
  73. """
  74. self.update_config()
  75. export_result = self.pdx_model.export(**self.get_export_kwargs())
  76. assert (
  77. export_result.returncode == 0
  78. ), f"Encountered an unexpected error({export_result.returncode}) in \
  79. exporting!"
  80. return None
  81. def get_device(self, using_device_number: int = None) -> str:
  82. """get device setting from config
  83. Args:
  84. using_device_number (int, optional): specify device number to use.
  85. Defaults to None, means that base on config setting.
  86. Returns:
  87. str: device setting, such as: `gpu:0,1`, `npu:0,1`, `cpu`.
  88. """
  89. set_env_for_device(self.global_config.device)
  90. if using_device_number:
  91. return update_device_num(self.global_config.device, using_device_number)
  92. return self.global_config.device
  93. def update_config(self):
  94. """update export config"""
  95. pass
  96. def get_export_kwargs(self):
  97. """get key-value arguments of model export function"""
  98. return {
  99. "weight_path": self.export_config.weight_path,
  100. "save_dir": self.global_config.output,
  101. "device": self.get_device(1),
  102. }