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!400 correct the delta value
Merge pull request !400 from JiaqiHuang/mastertags/v1.9.0
i-robot
Gitee
3 years ago
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GPG Key ID: 173E9B9CA92EEF8F
3 changed files with 6 additions and 3 deletions
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+2 -1examples/privacy/diff_privacy/lenet5_dp_ada_gaussian.py
-
+2 -1examples/privacy/diff_privacy/lenet5_dp_ada_sgd_graph.py
-
+2 -1examples/privacy/diff_privacy/lenet5_dp_optimizer.py
+ 2
- 1
examples/privacy/diff_privacy/lenet5_dp_ada_gaussian.py
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| @@ -122,7 +122,8 @@ if __name__ == "__main__": | |||||
| num_samples=60000, | num_samples=60000, | ||||
| batch_size=cfg.batch_size, | batch_size=cfg.batch_size, | ||||
| initial_noise_multiplier=cfg.initial_noise_multiplier, | initial_noise_multiplier=cfg.initial_noise_multiplier, | ||||
| per_print_times=234) | |||||
| per_print_times=234, | |||||
| target_delta=1e-5) | |||||
| # Create the DP model for training. | # Create the DP model for training. | ||||
| model = DPModel(micro_batches=cfg.micro_batches, | model = DPModel(micro_batches=cfg.micro_batches, | ||||
| norm_bound=cfg.norm_bound, | norm_bound=cfg.norm_bound, | ||||
+ 2
- 1
examples/privacy/diff_privacy/lenet5_dp_ada_sgd_graph.py
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| @@ -122,7 +122,8 @@ if __name__ == "__main__": | |||||
| num_samples=60000, | num_samples=60000, | ||||
| batch_size=cfg.batch_size, | batch_size=cfg.batch_size, | ||||
| initial_noise_multiplier=cfg.initial_noise_multiplier, | initial_noise_multiplier=cfg.initial_noise_multiplier, | ||||
| per_print_times=234) | |||||
| per_print_times=234, | |||||
| target_delta=1e-5) | |||||
| # Create the DP model for training. | # Create the DP model for training. | ||||
| model = DPModel(micro_batches=cfg.micro_batches, | model = DPModel(micro_batches=cfg.micro_batches, | ||||
| norm_bound=cfg.norm_bound, | norm_bound=cfg.norm_bound, | ||||
+ 2
- 1
examples/privacy/diff_privacy/lenet5_dp_optimizer.py
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| @@ -129,7 +129,8 @@ if __name__ == "__main__": | |||||
| num_samples=60000, | num_samples=60000, | ||||
| batch_size=cfg.batch_size, | batch_size=cfg.batch_size, | ||||
| initial_noise_multiplier=cfg.initial_noise_multiplier*cfg.norm_bound, | initial_noise_multiplier=cfg.initial_noise_multiplier*cfg.norm_bound, | ||||
| per_print_times=10) | |||||
| per_print_times=10, | |||||
| target_delta=1e-5) | |||||
| # Create the DP model for training. | # Create the DP model for training. | ||||
| model = DPModel(micro_batches=cfg.micro_batches, | model = DPModel(micro_batches=cfg.micro_batches, | ||||
| norm_bound=cfg.norm_bound, | norm_bound=cfg.norm_bound, | ||||