INFO 2023-05-15 01:18:08,448 blackbox_eval.py: 125: Model Target: converted_alexnet_colorization_in1k_pretext_fulltune_deep_CIFAR10
INFO 2023-05-15 01:18:09,430 __init__.py:  37: Provided Config has latest version: 1
INFO 2023-05-15 01:18:09,431 io.py:  63: Saving data to file: ./train_config.yaml
INFO 2023-05-15 01:18:09,458 io.py:  89: Saved data to file: ./train_config.yaml
INFO 2023-05-15 01:18:09,542 util.py: 276: Attempting to load checkpoint from ats/tuned_models/converted_alexnet_colorization_in1k_pretext_fulltune_deep_CIFAR10/model_final_checkpoint_phase27.torch
INFO 2023-05-15 01:18:09,589 util.py: 281: Loaded checkpoint from ats/tuned_models/converted_alexnet_colorization_in1k_pretext_fulltune_deep_CIFAR10/model_final_checkpoint_phase27.torch
INFO 2023-05-15 01:18:09,589 base_ssl_model.py: 446: Rank 0: Loading Trunk state dict....
INFO 2023-05-15 01:18:09,592 base_ssl_model.py: 459: Rank 0: Loading Heads state dict....
INFO 2023-05-15 01:18:09,592 base_ssl_model.py: 474: Rank 0: Model state dict loaded!
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.0.weight              of shape: torch.Size([96, 1, 11, 11]) from checkpoint
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.0.bias                of shape: torch.Size([96]) from checkpoint
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.1.weight              of shape: torch.Size([96]) from checkpoint
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.1.bias                of shape: torch.Size([96]) from checkpoint
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.1.running_mean        of shape: torch.Size([96]) from checkpoint
INFO 2023-05-15 01:18:09,593 checkpoint.py: 672: Loaded: _feature_blocks.0.1.running_var         of shape: torch.Size([96]) from checkpoint
INFO 2023-05-15 01:18:09,594 checkpoint.py: 657: Ignored layer:	_feature_blocks.0.1.num_batches_tracked
INFO 2023-05-15 01:18:09,594 checkpoint.py: 672: Loaded: _feature_blocks.2.0.weight              of shape: torch.Size([256, 48, 5, 5]) from checkpoint
INFO 2023-05-15 01:18:09,594 checkpoint.py: 672: Loaded: _feature_blocks.2.0.bias                of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,594 checkpoint.py: 672: Loaded: _feature_blocks.2.1.weight              of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,594 checkpoint.py: 672: Loaded: _feature_blocks.2.1.bias                of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.2.1.running_mean        of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.2.1.running_var         of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 657: Ignored layer:	_feature_blocks.2.1.num_batches_tracked
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.0.weight              of shape: torch.Size([384, 256, 3, 3]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.0.bias                of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.1.weight              of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.1.bias                of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.1.running_mean        of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 672: Loaded: _feature_blocks.4.1.running_var         of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,595 checkpoint.py: 657: Ignored layer:	_feature_blocks.4.1.num_batches_tracked
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.0.weight              of shape: torch.Size([384, 192, 3, 3]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.0.bias                of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.1.weight              of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.1.bias                of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.1.running_mean        of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 672: Loaded: _feature_blocks.5.1.running_var         of shape: torch.Size([384]) from checkpoint
INFO 2023-05-15 01:18:09,596 checkpoint.py: 657: Ignored layer:	_feature_blocks.5.1.num_batches_tracked
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.0.weight              of shape: torch.Size([256, 192, 3, 3]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.0.bias                of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.1.weight              of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.1.bias                of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.1.running_mean        of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: _feature_blocks.6.1.running_var         of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 657: Ignored layer:	_feature_blocks.6.1.num_batches_tracked
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: 0.channel_bn.weight                     of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,597 checkpoint.py: 672: Loaded: 0.channel_bn.bias                       of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,598 checkpoint.py: 672: Loaded: 0.channel_bn.running_mean               of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,598 checkpoint.py: 672: Loaded: 0.channel_bn.running_var                of shape: torch.Size([256]) from checkpoint
INFO 2023-05-15 01:18:09,598 checkpoint.py: 657: Ignored layer:	0.channel_bn.num_batches_tracked
INFO 2023-05-15 01:18:09,598 checkpoint.py: 672: Loaded: 0.clf.clf.0.weight                      of shape: torch.Size([100, 9216]) from checkpoint
INFO 2023-05-15 01:18:09,599 checkpoint.py: 672: Loaded: 0.clf.clf.0.bias                        of shape: torch.Size([100]) from checkpoint
INFO 2023-05-15 01:18:09,599 checkpoint.py: 672: Loaded: 0.clf.clf.1.weight                      of shape: torch.Size([10, 100]) from checkpoint
INFO 2023-05-15 01:18:09,599 checkpoint.py: 672: Loaded: 0.clf.clf.1.bias                        of shape: torch.Size([10]) from checkpoint
INFO 2023-05-15 01:18:09,599 checkpoint.py: 685: Extra layers not loaded from checkpoint: []
INFO 2023-05-15 01:18:13,114 __init__.py:  37: Provided Config has latest version: 1
INFO 2023-05-15 01:18:13,115 io.py:  63: Saving data to file: ./train_config.yaml
INFO 2023-05-15 01:18:13,160 io.py:  89: Saved data to file: ./train_config.yaml
INFO 2023-05-15 01:18:13,161 ssl_dataset.py: 156: Rank: 0 split: TEST Data files:
['ats/data/datasets/']
INFO 2023-05-15 01:18:13,161 ssl_dataset.py: 159: Rank: 0 split: TEST Label files:
[]
INFO 2023-05-15 01:18:13,641 attacks.py: 327: Running adversarial blackbox experiment...

INFO 2023-05-15 01:22:07,912 attacks.py: 403: Total attacks on model_proxy: 10000
INFO 2023-05-15 01:22:07,913 attacks.py: 404: The number of successful blackbox attacks on model: 9000 (90.0 %)
INFO 2023-05-15 01:22:07,915 logger.py:  73: Shutting down loggers...
