Include all postprocessing scripts

postprocessing/adv_rollout_compensate_train_time/img/increasing_resnet_rollout_train_time_compensate.pdf

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+version https://git-lfs.github.com/spec/v1
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+size 15552

postprocessing/adv_rollout_compensate_train_time/img/increasing_resnet_rollout_zoomed_compensate.pdf

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+version https://git-lfs.github.com/spec/v1
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+size 16268

postprocessing/adv_rollout_compensate_train_time/postprocessing_avd_rollout_compensate_train_time.ipynb

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+version https://git-lfs.github.com/spec/v1
+oid sha256:edc21d2589023c3b2cc3a550113e810bf2a6fb416b70b3d32cb09deb5290b702
+size 95759

postprocessing/optimization_configuration_ablation/img/optimization_configuration_ablation.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d3ebf711d15e57c9f940ce909ea02f0970a02c892ee50ba2d6c60310ff6a655b
+size 40259

postprocessing/optimization_configuration_ablation/postprocessing_optimization_configuration_ablation.ipynb

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postprocessing/parameter_scaling_ablation/get_number_of_params.py

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+import json
+
+import apebench
+
+# All scenarios are single channel
+scene = apebench.scenarios.difficulty.Advection()
+
+param_dict = {}
+
+for net in [
+    *[f"Conv;{2**hc_exp:03d};10;relu" for hc_exp in range(9 + 1)],
+    *[f"UNet;{2**hc_exp:03d};2;relu" for hc_exp in range(6 + 1)],
+    *[f"Res;{2**hc_exp:03d};8;relu" for hc_exp in range(9 + 1)],
+    *[f"FNO;12;{2**hc_exp:03d};4;relu" for hc_exp in range(5 + 1)],
+    *[f"Dil;2;{2**hc_exp:03d};2;relu" for hc_exp in range(8 + 1)],
+]:
+    num_params = scene.get_parameter_count(net)
+
+    param_dict[net] = num_params
+
+
+with open("number_of_params.json", "w") as f:
+    json.dump(param_dict, f)

postprocessing/parameter_scaling_ablation/img/parameter_scaling_ablation.pdf

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+size 22804

postprocessing/parameter_scaling_ablation/number_of_params.json

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+{"Conv;001;10;relu": 44, "Conv;002;10;relu": 141, "Conv;004;10;relu": 497, "Conv;008;10;relu": 1857, "Conv;016;10;relu": 7169, "Conv;032;10;relu": 28161, "Conv;064;10;relu": 111617, "Conv;128;10;relu": 444417, "Conv;256;10;relu": 1773569, "Conv;512;10;relu": 7086081, "UNet;001;2;relu": 254, "UNet;002;2;relu": 873, "UNet;004;2;relu": 3209, "UNet;008;2;relu": 12273, "UNet;016;2;relu": 47969, "UNet;032;2;relu": 189633, "UNet;064;2;relu": 754049, "Res;001;8;relu": 68, "Res;002;8;relu": 231, "Res;004;8;relu": 845, "Res;008;8;relu": 3225, "Res;016;8;relu": 12593, "Res;032;8;relu": 49761, "Res;064;8;relu": 197825, "Res;128;8;relu": 788865, "Res;256;8;relu": 3150593, "Res;512;8;relu": 12592641, "FNO;12;001;4;relu": 108, "FNO;12;002;4;relu": 415, "FNO;12;004;4;relu": 1629, "FNO;12;008;4;relu": 6457, "FNO;12;016;4;relu": 25713, "FNO;12;032;4;relu": 102625, "Dil;2;001;2;relu": 64, "Dil;2;002;2;relu": 187, "Dil;2;004;2;relu": 613, "Dil;2;008;2;relu": 2185, "Dil;2;016;2;relu": 8209, "Dil;2;032;2;relu": 31777, "Dil;2;064;2;relu": 124993, "Dil;2;128;2;relu": 495745, "Dil;2;256;2;relu": 1974529}

postprocessing/parameter_scaling_ablation/postprocessing_parameter_scaling_ablation.ipynb

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+size 104646

postprocessing/train_dataset_size_ablation/img/train_dataset_size_ablation.pdf

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+size 48761

postprocessing/train_dataset_size_ablation/postprocessing_train_dataset_size_ablation.ipynb

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