Пример #1
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def lipschitz_verification_mukhutdinov(bound: float):
    run("q_adversarial_verification", *ARGS_MUKHUTDINOV, bound,
        "--skip_graphviz --single_source 1 --single_sink 3 --input_max_delta_q 20 "\
        "--learning_step_indices 1,2,3,8")
Пример #2
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def lipschitz_verification_tarau(bound: float):
    run("q_adversarial_verification", *ARGS_TARAU, bound,
        "--skip_graphviz --single_source 0 --single_sink 1 --input_max_delta_q 10 "\
        "--learning_step_indices 17,22,23,24")
Пример #3
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def embedding_verification_tarau(bound: float, epsilon: float, source: int,
                                 sink: int):
    run(
        "embedding_adversarial_verification", *ARGS_TARAU, bound,
        f"--skip_graphviz --single_source {source} --single_sink {sink} --input_eps_l_inf {epsilon} "
        f"{MARABOU_MEMORY_LIMIT}")
Пример #4
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def embedding_verification_tarau(bound: float, epsilon: float):
    run("embedding_adversarial_full_verification", "tarau2010_graph_original", "tarau2010_settings_regular",
        bound, f"--skip_graphviz --single_source 0 --single_sink 1 --input_eps_l_inf {epsilon} "
        f"--linux_marabou_memory_limit_mb 12288")
Пример #5
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def embedding_verification_original(bound: float, epsilon: float):
    run("embedding_adversarial_full_verification", "original_example_graph",
        "original_example_settings_energy_test", bound,
        f"--skip_graphviz --single_source 1 --single_sink 3 --input_eps_l_inf {epsilon} "
        f"--linux_marabou_memory_limit_mb 12288")
Пример #6
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def lipschitz_verification_tarau(bound: float):
    run("q_adversarial_lipschitz", "tarau2010_graph_original", "tarau2010_settings_regular", bound,
        "--skip_graphviz --single_source 0 --single_sink 1 --input_max_delta_q 10 "\
        "--learning_step_indices 17,22,23,24")
Пример #7
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def lipschitz_verification_original(bound: float):
    run("q_adversarial_lipschitz", "original_example_graph", "original_example_settings_energy_test", bound,
        "--skip_graphviz --single_source 1 --single_sink 3 --input_max_delta_q 20 "\
        "--learning_step_indices 1,2,3,8")