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train_zenke_bbb.py
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train_zenke_bbb.py
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#!/usr/bin/env python3
# Copyright 2020 Christian Henning
#
# 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.
#
# @title :probabilistic/prob_cifar/train_zenke_bbb.py
# @author :ch
# @contact :[email protected]
# @created :01/21/2020
# @version :1.0
# @python_version :3.6.9
"""
CIFAR-10/100 ZenkeNet CL Experiment with BbB
--------------------------------------------
The script :mod:`probabilistic.prob_cifar.train_zenke_bbb` is used to run a
probabilistic CL experiment on CIFAR using a ZenkeNet
(:class:`mnets.zenkenet.ZenkeNet`) and Bayes-by-Backprop as method to learn
task-specific weight posteriors. At the moment, it simply takes care of
providing the correct command-line arguments and default values to the end user.
Afterwards, it will simply call: :mod:`probabilistic.prob_mnist.train_bbb`.
"""
# Do not delete the following import for all executable scripts!
import __init__ # pylint: disable=unused-import
from probabilistic.prob_mnist import train_args
from probabilistic.prob_mnist import train_bbb
if __name__ == '__main__':
config = train_args.parse_cmd_arguments(mode='cifar_zenke_bbb')
train_bbb.run(config, experiment='cifar_zenke_bbb')