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- # Copyright 2020 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.
- # ============================================================================
- """Transformer."""
- from mindinsight.optimizer.utils.param_handler import match_value_type
- from mindinsight.optimizer.common.enums import HyperParamSource, HyperParamKey
-
-
- class Transformer:
- """Transformer."""
- @staticmethod
- def transform_list_to_dict(params_info, suggest_list):
- """Transform from tuner."""
- suggest_list = match_value_type(suggest_list, params_info)
- param_dict = {}
- user_defined_info = {}
- for index, param_name in enumerate(params_info):
- param_item = {param_name: suggest_list[index]}
- param_dict.update(param_item)
- source = params_info.get(param_name).get(HyperParamKey.SOURCE.value)
- if source is not None and source == HyperParamSource.USER_DEFINED.value:
- user_defined_info.update(param_item)
-
- return param_dict, user_defined_info
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