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@ -27,7 +27,7 @@ from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from privacy_accountants import *
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from GDprivacy_accountants import *
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#### FLAGS
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#### FLAGS
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tf.flags.DEFINE_boolean('dpsgd', True, 'If True, train with DP-SGD. If False, '
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tf.flags.DEFINE_boolean('dpsgd', True, 'If True, train with DP-SGD. If False, '
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'train with vanilla SGD.')
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'train with vanilla SGD.')
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@ -27,7 +27,7 @@ from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from privacy_accountants import *
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from GDprivacy_accountants import *
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from keras.preprocessing import sequence
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from keras.preprocessing import sequence
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#### FLAGS
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#### FLAGS
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@ -30,7 +30,7 @@ from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from tensorflow_privacy.privacy.optimizers import dp_optimizer
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from privacy_accountants import *
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from GDprivacy_accountants import *
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#### FLAGS
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#### FLAGS
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tf.flags.DEFINE_boolean('dpsgd', True, 'If True, train with DP-SGD. If False, '
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tf.flags.DEFINE_boolean('dpsgd', True, 'If True, train with DP-SGD. If False, '
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