|
- # Copyright 2019 Huawei Technologies Co., Ltd
- #
- # 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.
- # ============================================================================
- """
- Lineagemgr Module Introduction.
-
- This module provides Python APIs to collect and query the lineage of models.
- Users can add the TrainLineage/EvalLineage callback to the MindSpore train/eval callback list to
- collect the key parameters and results, such as, the name of the network and optimizer, the
- evaluation metric and results.
- The APIs can be used to get the lineage information of the models. For example,
- what hyperparameter is used in the model training, which model has the highest
- accuracy among all the versions, etc.
- """
- from mindinsight.lineagemgr.api.model import get_summary_lineage, filter_summary_lineage
- from mindinsight.lineagemgr.common.log import logger
- try:
- from mindinsight.lineagemgr.collection.model.model_lineage import TrainLineage, EvalLineage
- except (ModuleNotFoundError, NameError, ImportError):
- logger.warning('Not found MindSpore!')
-
- __all__ = ["TrainLineage", "EvalLineage", "get_summary_lineage", "filter_summary_lineage"]
|
