Source code for nvflare.app_opt.tf.params_converter

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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)