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55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
# Copyright 2021 The KServe Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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from artserver import ARTModel
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import kserve
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from kserve import logging
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DEFAULT_ADVERSARY_TYPE = "SquareAttack"
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DEFAULT_MAX_ITER = "1000"
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DEFAULT_NB_CLASSES = "10"
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parser = argparse.ArgumentParser(parents=[kserve.model_server.parser])
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parser.add_argument(
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"--adversary_type",
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default=DEFAULT_ADVERSARY_TYPE,
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help="What type of adversarial tool to use.",
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)
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parser.add_argument(
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"--max_iter", default=DEFAULT_MAX_ITER, help="The max number of iterations to run."
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)
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parser.add_argument(
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"--nb_classes",
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default=DEFAULT_NB_CLASSES,
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help="The number of different classification types.",
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)
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args, _ = parser.parse_known_args()
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if __name__ == "__main__":
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if args.configure_logging:
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logging.configure_logging(args.log_config_file)
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model = ARTModel(
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args.model_name,
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adversary_type=args.adversary_type,
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nb_classes=args.nb_classes,
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max_iter=args.max_iter,
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)
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model.load()
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kserve.ModelServer().start([model])
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