# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# 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.
from typing import Any
from nvflare.app_common.abstract.params_converter import ParamsConverter
from nvflare.app_opt.tf.utils import flat_layer_weights_dict, unflat_layer_weights_dict
[docs]class NumpyToKerasModelParamsConverter(ParamsConverter):
"""This class converts a flattened numpy dict back into a dict of {layer_name: layer_weights}.
The result can be used by ```keras_model.get_layer(layer_name).set_weights(layer_weights)```
"""
[docs] def convert(self, params: Any, fl_ctx) -> Any:
"""Unflattens layer weights dict."""
return unflat_layer_weights_dict(params)
[docs]class KerasModelToNumpyParamsConverter(ParamsConverter):
"""This class converts the dict of {layer_name: layer_weights} to a flattened numpy dict.
The layer_name is from a keras ```layer.name```
The layer_weights is from ```layer.get_weights()```
"""
[docs] def convert(self, params: Any, fl_ctx) -> Any:
"""Flattens layer weights dict."""
return flat_layer_weights_dict(params)