Add CIFAR models

benchmarks/cifar/gelu_4fc_100/config.yaml

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+general:
+  root_path: ${CONFIG_PATH}  # Folder containing the csv and vnnlib files for verification.
+  csv_name: instances.csv
+  loss_reduction_func: min
+  sparse_alpha: false
+model:
+  name: >-
+    Customized("../models/gelu.py", "gelu_4fc_100")
+  path: ${CONFIG_PATH}/model.pth
+  input_shape: [-1, 3, 32, 32]
+attack:
+  pgd_order: before
+solver:
+  batch_size: 512
+  min_batch_size_ratio: 0
+  alpha-crown:
+    iteration: 50
+  beta-crown:
+    lr_alpha: 0.1
+    lr_beta: 0.1
+    iteration: 50
+bab:
+  pruning_in_iteration: false   # bug
+  branching:
+    method: nonlinear
+    candidates: 1
+    nonlinear_split:
+      num_branches: 2
+      method: shortcut
+

benchmarks/cifar/gelu_4fc_100/filtered.txt

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