MART v0.5.0

What's Changed

Improve Adversary using LightningModule and Trainer from Lightning

• Configuring optimization hyper-params in Perturber by @mzweilin in #91
• Remove NoAdversary by @dxoigmn in #102
• Decorate initializers __call__ with torch.no_grad instead of using tensor.data by @dxoigmn in #107
• Decorate projectors __call__ with torch.no_grad instead of using tensor.data by @dxoigmn in #108
• Enforcing threat models by @mzweilin in #92
• Make IterativeGenerator a Trainer by @dxoigmn in #113
• Remove BatchComposer in favor of batch-aware Composer by @dxoigmn in #121
• Remove BatchEnforcer in favor of batch-aware Enforcer by @dxoigmn in #122
• Make Enforcer modality-aware by @mzweilin in #124
• Add MaskAdditive composer. by @mzweilin in #129
• Make Projector batch aware by @dxoigmn in #120
• Update GradientModifier to be an in-place operation by @dxoigmn in #123
• Replace tuple with Iterable[torch.Tensor] by @dxoigmn in #134
• Better Perturber by @dxoigmn in #146
• Better Optimizer by @dxoigmn in #147
• Adversary as pl.LightningModule by @dxoigmn in #103
• Improve Adversary's progress bar by @mzweilin in #161
• Move load_state_dict into LitModular by @dxoigmn in #145
• Allow LitModular to load from checkpoints with states of Adversary by @mzweilin in #160
• Add gradient monitor callback by @dxoigmn in #144
• Add Image initializer by @dxoigmn in #142
• Make the Adversary Trainer accept loggers. by @mzweilin in #164
• Hide parameters of Adversary's Perturber from DDP by @mzweilin in #166

Improve LitModular and mart.nn

• Allow modules to skip CallWith by @dxoigmn in #106
• Allow LitModular.*_step_log to be a dictionary by @dxoigmn in #168
• Let loss/preds/target output keys be configurable in LitModular by @dxoigmn in #169
• Remove *_step_end from LitModular by @dxoigmn in #170
• Make SequentialDict return outputs from all modules as DotDict by @dxoigmn in #171
• Don't lookup non-str keys in SequentialDict by @dxoigmn in #174
• Enable overriding of special args in SequentialDict.forward by @dxoigmn in #175
• Add _train_mode_ and _inference_mode_ special args to SequentialDict by @dxoigmn in #176
• Add _call_ special arg to SequentialDict by @dxoigmn in #184
• Allow LitModular's load_state_dict to accept a str by @dxoigmn in #189

Update dependency

• Upgrade to PyTorch 2.0 by @mzweilin in #192

Improve performance

• Speedup adversarial training with a simple perturber by @mzweilin in #89

Move non-essential functionalities to examples

• Fix the autoattack wrapper by @mzweilin in #80
• Remove test on RobustBench. by @mzweilin in #179
• Purge tests on RobustBench by @mzweilin in #181
• Move RobustBench and Carla stuff from mart to examples by @mzweilin in #183
• Move ART to extras by @dxoigmn in #186
• Move ART Wrapper to examples by @mzweilin in #195

Improve datamodule

• Make input a dictionary for multi-modal object detection by @mzweilin in #95
• Quantize datamodule input by @mzweilin in #112

Miscellaneous

• Fix source header license by @mzweilin in #99
• Fix source header license in tests by @mzweilin in #100
  Full Changelog: v0.4.1...v0.5.0