msc: batch 400 files (353818 KB) @ 2026-08-04T05:08:02Z

analysis/per_sample_alignment.csv

@@ -7,12 +7,39 @@ p1-convnext_femto-cifar100-base-s1,convnext_femto,10000,80031c23f8300724
 p1-convnext_femto-cifar100-base-s2,convnext_femto,10000,80031c23f8300724
 p1-convnext_femto-cifar100-base-s3,convnext_femto,10000,80031c23f8300724
 p1-mixer_nano-cifar100-base-s1,mixer_nano,10000,80031c23f8300724
+p1-mixer_nano-cifar100-base-s2,mixer_nano,10000,80031c23f8300724
 p1-mobilenetv2-cifar100-base-s1,mobilenetv2,10000,80031c23f8300724
+p1-mobilenetv2-cifar100-base-s2,mobilenetv2,10000,80031c23f8300724
 p1-mobilenetv2-cifar100-base-s3,mobilenetv2,10000,80031c23f8300724
+p1-resnet110-cifar100-base-s1,resnet110,10000,80031c23f8300724
 p1-resnet110-cifar100-base-s2,resnet110,10000,80031c23f8300724
+p1-resnet110-cifar100-base-s3,resnet110,10000,80031c23f8300724
 p1-resnet20-cifar100-base-s1,resnet20,10000,80031c23f8300724
+p1-resnet20-cifar100-base-s2,resnet20,10000,80031c23f8300724
+p1-resnet20-cifar100-base-s3,resnet20,10000,80031c23f8300724
+p1-resnet32x4-cifar100-base-s1,resnet32x4,10000,80031c23f8300724
+p1-resnet32x4-cifar100-base-s2,resnet32x4,10000,80031c23f8300724
+p1-resnet32x4-cifar100-base-s3,resnet32x4,10000,80031c23f8300724
+p1-resnet56-cifar100-base-s1,resnet56,10000,80031c23f8300724
 p1-resnet56-cifar100-base-s2,resnet56,10000,80031c23f8300724
+p1-resnet56-cifar100-base-s3,resnet56,10000,80031c23f8300724
 p1-resnet8x4-cifar100-base-s1,resnet8x4,10000,80031c23f8300724
+p1-resnet8x4-cifar100-base-s2,resnet8x4,10000,80031c23f8300724
+p1-resnet8x4-cifar100-base-s3,resnet8x4,10000,80031c23f8300724
+p1-shufflenetv2-cifar100-base-s1,shufflenetv2,10000,80031c23f8300724
+p1-shufflenetv2-cifar100-base-s2,shufflenetv2,10000,80031c23f8300724
 p1-shufflenetv2-cifar100-base-s3,shufflenetv2,10000,80031c23f8300724
+p1-vgg13-cifar100-base-s1,vgg13,10000,80031c23f8300724
+p1-vgg13-cifar100-base-s2,vgg13,10000,80031c23f8300724
 p1-vgg13-cifar100-base-s3,vgg13,10000,80031c23f8300724
+p1-vgg8-cifar100-base-s2,vgg8,10000,80031c23f8300724
+p1-vgg8-cifar100-base-s3,vgg8,10000,80031c23f8300724
 p1-vit_tiny-cifar100-base-s1,vit_tiny,10000,80031c23f8300724
+p1-vit_tiny-cifar100-base-s2,vit_tiny,10000,80031c23f8300724
+p1-vit_tiny-cifar100-base-s3,vit_tiny,10000,80031c23f8300724
+p1-wrn_16_2-cifar100-base-s3,wrn_16_2,10000,80031c23f8300724
+p1-wrn_40_1-cifar100-base-s1,wrn_40_1,10000,80031c23f8300724
+p1-wrn_40_1-cifar100-base-s2,wrn_40_1,10000,80031c23f8300724
+p1-wrn_40_2-cifar100-base-s1,wrn_40_2,10000,80031c23f8300724
+p1-wrn_40_2-cifar100-base-s2,wrn_40_2,10000,80031c23f8300724
+p1-wrn_40_2-cifar100-base-s3,wrn_40_2,10000,80031c23f8300724

registry/events/acct1_w0_Interactive-caf2ce3073.jsonl

@@ -11,3 +11,4 @@
 {"run_id": "p1-vgg13-cifar100-base-s2", "state": "oracle_done", "account": "acct1", "worker_id": 0, "session_id": "Interactive-caf2ce3073", "updated_at": "2026-08-04T04:56:38Z", "ts": 1785819398.3407333, "arch": "vgg13", "seed": 2, "sample_order_hash": "80031c23f8300724c6fbc588e4bccbe41c6392041782148727bb497b0132c4ad"}
 {"run_id": "p1-vgg8-cifar100-base-s2", "state": "oracle_done", "account": "acct1", "worker_id": 0, "session_id": "Interactive-caf2ce3073", "updated_at": "2026-08-04T04:59:53Z", "ts": 1785819593.7940547, "arch": "vgg8", "seed": 2, "sample_order_hash": "80031c23f8300724c6fbc588e4bccbe41c6392041782148727bb497b0132c4ad"}
 {"run_id": "p1-vgg8-cifar100-base-s3", "state": "oracle_done", "account": "acct1", "worker_id": 0, "session_id": "Interactive-caf2ce3073", "updated_at": "2026-08-04T05:03:06Z", "ts": 1785819786.633707, "arch": "vgg8", "seed": 3, "sample_order_hash": "80031c23f8300724c6fbc588e4bccbe41c6392041782148727bb497b0132c4ad"}
+{"run_id": "p1-wrn_40_2-cifar100-base-s1", "state": "oracle_done", "account": "acct1", "worker_id": 0, "session_id": "Interactive-caf2ce3073", "updated_at": "2026-08-04T05:08:00Z", "ts": 1785820080.0235097, "arch": "wrn_40_2", "seed": 1, "sample_order_hash": "80031c23f8300724c6fbc588e4bccbe41c6392041782148727bb497b0132c4ad"}

registry/events/acct2_w1_Interactive-dee96e10fe.jsonl

@@ -3,5 +3,3 @@
 {"run_id": "p1-vgg13-cifar100-base-s2", "state": "paused", "account": "acct2", "worker_id": 1, "session_id": "Interactive-dee96e10fe", "updated_at": "2026-08-04T03:35:51Z", "ts": 1785814551.9507475, "best_accuracy": 0.5996, "last_completed_epoch": 101, "demoted_broken_stub": true, "arch": "vgg13", "seed": 2, "dataset": "cifar100", "phase": "p1"}
 {"run_id": "p1-vit_tiny-cifar100-base-s1", "state": "paused", "account": "acct2", "worker_id": 1, "session_id": "Interactive-dee96e10fe", "updated_at": "2026-08-04T03:35:51Z", "ts": 1785814551.9870262, "best_accuracy": 0.5641, "last_completed_epoch": 54, "demoted_broken_stub": true, "arch": "vit_tiny", "seed": 1, "dataset": "cifar100", "phase": "p1"}
 {"run_id": "p1-wrn_16_2-cifar100-base-s2", "state": "running", "account": "acct2", "worker_id": 1, "session_id": "Interactive-dee96e10fe", "updated_at": "2026-08-04T03:36:02Z", "ts": 1785814562.3335218, "arch": "wrn_16_2", "dataset": "cifar100", "seed": 2, "phase": "p1", "num_epochs": 240, "config_hash": "f1439f89293b6ebd7a430c1addbdf380a44d1f6be13fb2805baffd3d9320a9ec"}
-{"run_id": "p1-wrn_16_2-cifar100-base-s2", "state": "completed", "account": "acct2", "worker_id": 1, "session_id": "Interactive-dee96e10fe", "updated_at": "2026-08-04T04:32:52Z", "ts": 1785817972.4713173, "arch": "wrn_16_2", "dataset": "cifar100", "seed": 2, "best_accuracy": 0.7379, "final_accuracy": 0.7337, "num_epochs_run": 240, "config_hash": "f1439f89293b6ebd7a430c1addbdf380a44d1f6be13fb2805baffd3d9320a9ec"}
-{"run_id": "p1-vgg8-cifar100-base-s1", "state": "running", "account": "acct2", "worker_id": 1, "session_id": "Interactive-dee96e10fe", "updated_at": "2026-08-04T04:32:59Z", "ts": 1785817979.7366095, "arch": "vgg8", "dataset": "cifar100", "seed": 1, "phase": "p1", "num_epochs": 240, "config_hash": "f734eb544fae3fc0dcff5daa8beddbb231fb5080454a7b386c3d6ba4afad15ac"}

registry/plans/acct3_w2of4_p1.json

@@ -1,38 +1,25 @@
 {
   "worker_id": 2,
   "num_workers": 4,
-  "n_universe": 37,
-  "n_mine": 10,
-  "n_done_global": 0,
-  "n_todo": 10,
+  "n_universe": 15,
+  "n_mine": 5,
+  "n_done_global": 10,
+  "n_todo": 2,
   "n_stolen": 0,
   "mine": [
-    "p1-mobilenetv2-cifar100-base-s3",
-    "p1-resnet110-cifar100-base-s1",
-    "p1-resnet20-cifar100-base-s1",
-    "p1-resnet20-cifar100-base-s3",
-    "p1-resnet32x4-cifar100-base-s2",
-    "p1-resnet8x4-cifar100-base-s1",
-    "p1-shufflenetv2-cifar100-base-s3",
-    "p1-vgg13-cifar100-base-s1",
-    "p1-vit_tiny-cifar100-base-s3",
-    "p1-wrn_40_2-cifar100-base-s2"
+    "p1-wrn_16_2-cifar100-base-s1",
+    "p1-wrn_16_2-cifar100-base-s3",
+    "p1-wrn_40_1-cifar100-base-s1",
+    "p1-vgg13-cifar100-base-s3",
+    "p1-vgg8-cifar100-base-s2"
   ],
   "todo": [
-    "p1-mobilenetv2-cifar100-base-s3",
-    "p1-resnet110-cifar100-base-s1",
-    "p1-resnet20-cifar100-base-s1",
-    "p1-resnet20-cifar100-base-s3",
-    "p1-resnet32x4-cifar100-base-s2",
-    "p1-resnet8x4-cifar100-base-s1",
-    "p1-shufflenetv2-cifar100-base-s3",
-    "p1-vgg13-cifar100-base-s1",
-    "p1-vit_tiny-cifar100-base-s3",
-    "p1-wrn_40_2-cifar100-base-s2"
+    "p1-wrn_16_2-cifar100-base-s1",
+    "p1-vgg8-cifar100-base-s2"
   ],
   "stolen": [],
-  "planned_utc": "2026-08-03T19:04:29Z",
+  "planned_utc": "2026-08-04T03:34:36Z",
   "account": "acct3",
   "phase": "p1",
-  "title": "atlas measurement"
+  "title": "atlas training"
 }

registry/plans/acct4_w3of4_p1.json

@@ -1,20 +1,36 @@
 {
   "worker_id": 3,
   "num_workers": 4,
-  "n_universe": 15,
-  "n_mine": 3,
-  "n_done_global": 10,
-  "n_todo": 0,
+  "n_universe": 37,
+  "n_mine": 9,
+  "n_done_global": 0,
+  "n_todo": 9,
   "n_stolen": 0,
   "mine": [
-    "p1-wrn_40_2-cifar100-base-s1",
-    "p1-wrn_40_2-cifar100-base-s2",
-    "p1-wrn_40_1-cifar100-base-s2"
+    "p1-convnext_femto-cifar100-base-s1",
+    "p1-convnext_femto-cifar100-base-s2",
+    "p1-mobilenetv2-cifar100-base-s1",
+    "p1-resnet110-cifar100-base-s2",
+    "p1-resnet56-cifar100-base-s1",
+    "p1-resnet8x4-cifar100-base-s3",
+    "p1-shufflenetv2-cifar100-base-s1",
+    "p1-vgg13-cifar100-base-s3",
+    "p1-wrn_40_1-cifar100-base-s1"
+  ],
+  "todo": [
+    "p1-convnext_femto-cifar100-base-s1",
+    "p1-convnext_femto-cifar100-base-s2",
+    "p1-mobilenetv2-cifar100-base-s1",
+    "p1-resnet110-cifar100-base-s2",
+    "p1-resnet56-cifar100-base-s1",
+    "p1-resnet8x4-cifar100-base-s3",
+    "p1-shufflenetv2-cifar100-base-s1",
+    "p1-vgg13-cifar100-base-s3",
+    "p1-wrn_40_1-cifar100-base-s1"
   ],
-  "todo": [],
   "stolen": [],
-  "planned_utc": "2026-08-04T03:34:36Z",
+  "planned_utc": "2026-08-03T19:06:18Z",
   "account": "acct4",
   "phase": "p1",
-  "title": "atlas training"
+  "title": "atlas measurement"
 }

runs/p1-mixer_nano-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5e2c2ddbeb22b2bc8be323f4529c190bf74b8c9be511fea38aa5d2ce584b440
+size 413296

runs/p1-mobilenetv2-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de02f0374d6089e4865254f199be5266b590051e07025ce33967ce08c8cb8b63
+size 692848

runs/p1-resnet20-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b27c88c199d1ebebf9b093d84b81834eb99695f85c3bb8b87a83f02659dd05c3
+size 100464

runs/p1-resnet32x4-cifar100-base-s3/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:169fa426bfaf4d80433e099395a0f482b87a9b81f4646f122b489a48d30db8b5
+size 360048

runs/p1-resnet56-cifar100-base-s3/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:304e5040b60d39e5ac5838e7df84ec1bff1abbcdd84624ee88a3fa3f8a3880c9
+size 100464

runs/p1-resnet56-cifar100-base-s3/metrics/calibration.csv

@@ -0,0 +1,16 @@
+bin_lo,bin_hi,count,confidence,accuracy,gap
+0.0,0.06666666666666667,0,NA,NA,NA
+0.06666666666666667,0.13333333333333333,0,NA,NA,NA
+0.13333333333333333,0.2,21,0.17495782673358917,0.09523809523809523,-0.07971973149549394
+0.2,0.26666666666666666,117,0.23477664589881897,0.1282051282051282,-0.10657151769369078
+0.26666666666666666,0.3333333333333333,182,0.30127325654029846,0.25824175824175827,-0.043031498298540194
+0.3333333333333333,0.4,266,0.3675551116466522,0.2556390977443609,-0.11191601390229133
+0.4,0.4666666666666667,313,0.4344628155231476,0.34824281150159747,-0.08622000402155011
+0.4666666666666667,0.5333333333333333,427,0.5023635625839233,0.3770491803278688,-0.1253143822560545
+0.5333333333333333,0.6,425,0.568385124206543,0.4258823529411765,-0.14250277126536648
+0.6,0.6666666666666666,403,0.634466826915741,0.47890818858560796,-0.155558638330133
+0.6666666666666666,0.7333333333333333,475,0.6999997496604919,0.5031578947368421,-0.1968418549236498
+0.7333333333333333,0.8,529,0.7672010660171509,0.5822306238185255,-0.18497044219862535
+0.8,0.8666666666666667,544,0.8333292603492737,0.6636029411764706,-0.16972631917280312
+0.8666666666666667,0.9333333333333333,790,0.9029159545898438,0.6987341772151898,-0.20418177737465393
+0.9333333333333333,1.0,5508,0.9886221885681152,0.9350036310820624,-0.05361855748605282

runs/p1-resnet56-cifar100-base-s3/metrics/confusion_matrix.csv

@@ -0,0 +1,101 @@
+,pred_apple,pred_aquarium_fish,pred_baby,pred_bear,pred_beaver,pred_bed,pred_bee,pred_beetle,pred_bicycle,pred_bottle,pred_bowl,pred_boy,pred_bridge,pred_bus,pred_butterfly,pred_camel,pred_can,pred_castle,pred_caterpillar,pred_cattle,pred_chair,pred_chimpanzee,pred_clock,pred_cloud,pred_cockroach,pred_couch,pred_crab,pred_crocodile,pred_cup,pred_dinosaur,pred_dolphin,pred_elephant,pred_flatfish,pred_forest,pred_fox,pred_girl,pred_hamster,pred_house,pred_kangaroo,pred_keyboard,pred_lamp,pred_lawn_mower,pred_leopard,pred_lion,pred_lizard,pred_lobster,pred_man,pred_maple_tree,pred_motorcycle,pred_mountain,pred_mouse,pred_mushroom,pred_oak_tree,pred_orange,pred_orchid,pred_otter,pred_palm_tree,pred_pear,pred_pickup_truck,pred_pine_tree,pred_plain,pred_plate,pred_poppy,pred_porcupine,pred_possum,pred_rabbit,pred_raccoon,pred_ray,pred_road,pred_rocket,pred_rose,pred_sea,pred_seal,pred_shark,pred_shrew,pred_skunk,pred_skyscraper,pred_snail,pred_snake,pred_spider,pred_squirrel,pred_streetcar,pred_sunflower,pred_sweet_pepper,pred_table,pred_tank,pred_telephone,pred_television,pred_tiger,pred_tractor,pred_train,pred_trout,pred_tulip,pred_turtle,pred_wardrobe,pred_whale,pred_willow_tree,pred_wolf,pred_woman,pred_worm
+true_apple,91,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0
+true_aquarium_fish,0,85,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0
+true_baby,0,0,64,0,0,1,1,0,0,0,0,12,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,1,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,2,0
+true_bear,0,0,0,56,7,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,2,1,0,3,1,0,0,1,0,0,0,4,1,0,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,7,0,1,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+true_beaver,0,0,1,0,61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,4,0,0,0,0,5,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,1,0,10,0,0,1,0,0,1,0,0,0,0,0,0,0,3,0,0,1,0,1,0,0,0,0,1,0
+true_bed,0,0,0,0,0,73,0,0,0,0,1,0,0,0,0,0,0,0,0,0,3,0,0,0,0,13,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,1,0,0,1,0,0,0,3,0,0,0,0,0
+true_bee,0,0,0,0,0,0,84,1,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+true_beetle,0,0,1,0,0,0,4,77,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,4,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0
+true_bicycle,0,0,0,0,0,0,0,0,91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+true_bottle,0,0,0,0,0,0,0,0,0,86,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0
+true_bowl,1,0,0,0,0,0,0,0,0,0,63,0,0,0,0,0,0,0,1,0,0,0,6,0,0,0,0,0,8,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,2,0,0,0,6,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0
+true_boy,0,0,12,0,1,0,0,1,0,0,0,49,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,13,0,0,0,0,1,0,0,0,0,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,7,0
+true_bridge,0,0,0,0,0,0,0,0,0,0,0,0,76,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,3,0,0,1,0,3,0,1,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0
+true_bus,0,0,0,0,0,0,0,0,1,0,0,0,1,69,0,0,2,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,13,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0
+true_butterfly,0,1,0,1,0,0,1,0,0,0,0,0,0,0,74,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,2,2,1,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0
+true_camel,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,82,0,0,0,3,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0
+true_can,0,0,0,0,0,1,0,0,0,3,1,0,0,0,0,0,77,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,1,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,0,0,0
+true_castle,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_caterpillar,0,1,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,70,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,0,0,2,0,0,0,0,0,7,1,0,0,0,0,0,0,0,0,0,2,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+true_cattle,0,0,0,2,1,0,0,0,0,0,0,0,0,0,1,5,0,0,0,64,0,2,0,0,0,0,1,1,0,0,0,2,0,0,4,0,0,0,3,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,2,0,0,0,0,1,1,0
+true_chair,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,88,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_chimpanzee,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,86,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0
+true_clock,0,0,0,0,0,0,0,0,0,2,3,0,0,0,0,0,1,0,0,0,1,0,69,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,3,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,0,1,0,0,0,0,1,3,0,0,1,0,0,1,0,0,0,0,0,0
+true_cloud,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,1,0,7,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+true_cockroach,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,84,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_couch,0,0,0,0,0,8,0,0,0,2,2,0,1,0,0,0,2,0,0,0,9,0,0,0,0,66,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,1,0,1,0,1,0,0,0
+true_crab,0,0,2,0,1,0,1,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,73,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0
+true_crocodile,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,69,0,1,0,0,1,1,0,0,0,0,0,0,0,0,3,0,5,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,1,1,1,1,0,0,0,1,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,1
+true_cup,0,0,0,1,0,0,0,0,0,2,7,0,0,0,0,0,5,0,1,0,0,0,0,0,0,1,0,0,76,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0
+true_dinosaur,0,1,0,1,1,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,2,1,0,73,0,0,0,0,1,0,0,0,0,0,0,0,1,0,4,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0
+true_dolphin,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,2,0,0,59,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,13,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,13,0,0,0,0
+true_elephant,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,1,0,1,0,0,0,0,0,0,1,2,0,74,0,0,0,0,0,0,1,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,2,3,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0
+true_flatfish,0,1,1,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,69,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,7,0,0,0,0,1,2,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,3,0,1,0,0,0,0
+true_forest,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,2,0,0,0,0,1,0,0,0,1,0,0,0,1,0,62,0,0,0,0,1,1,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,1,0,0,5,3,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,8,0,0,0
+true_fox,0,2,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,79,0,0,0,4,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0
+true_girl,0,0,10,0,0,0,0,0,0,0,0,16,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,58,1,0,0,0,0,0,0,0,0,1,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0
+true_hamster,0,0,1,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,80,1,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,1,0,0,1,0,0,0,0,0,0,2,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_house,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,81,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0
+true_kangaroo,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,2,0,0,0,70,0,1,0,2,1,3,0,1,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,1,0,0,0,0,2,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_keyboard,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,1
+true_lamp,0,0,0,0,0,0,1,0,0,0,0,1,1,0,1,0,0,0,0,0,0,1,1,0,0,2,1,0,3,0,0,0,0,1,0,0,0,1,0,0,64,0,0,0,0,2,1,0,0,0,0,2,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,2,0,0,0,3,3
+true_lawn_mower,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,89,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0
+true_leopard,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,2,0,0,0,76,1,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,1,0,0
+true_lion,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,1,0,1,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,0
+true_lizard,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,1,0,0,4,0,0,1,0,0,0,1,0,5,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,59,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,1,5,2,0,0,0,0,0,1,0,1,0,1,0,1,0,2,0,1,0,0,0,1
+true_lobster,0,1,0,0,1,0,0,2,0,0,3,1,0,0,1,0,2,0,1,0,0,0,0,0,1,0,4,1,0,0,0,0,1,0,1,0,0,0,0,0,1,0,1,0,2,60,0,0,0,0,0,0,0,0,1,0,1,2,0,0,0,1,0,0,0,1,0,2,0,0,0,1,0,0,0,0,0,0,2,1,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1
+true_man,0,0,6,0,0,0,0,0,1,0,0,17,0,0,0,1,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,2,0,0,3,0,0,0,0,0,0,0,0,1,0,55,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,6,0
+true_maple_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,65,0,0,0,0,20,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,7,0,0,0
+true_motorcycle,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,98,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+true_mountain,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,83,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0
+true_mouse,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,3,0,0,0,0,0,3,0,1,1,0,0,0,0,59,1,0,0,0,0,0,0,0,1,0,0,0,0,4,5,0,0,0,0,0,0,1,0,12,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+true_mushroom,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,76,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,0,2,0,0,0,1,0,0,0,3,0,0,0,0,0,0,0,0,0,1,1
+true_oak_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,16,0,0,0,0,70,0,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0
+true_orange,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,96,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_orchid,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,88,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0
+true_otter,0,1,0,2,4,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,1,4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,45,0,1,0,1,0,0,0,0,0,0,3,0,0,0,0,1,19,0,2,0,0,0,0,0,3,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0
+true_palm_tree,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,87,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_pear,2,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,79,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+true_pickup_truck,0,0,0,0,0,0,0,0,1,0,0,0,1,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,81,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,1,0,0,0,0,0,0,0,0,0
+true_pine_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,4,1,2,0,0,11,0,0,0,1,0,0,74,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0
+true_plain,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,87,0,0,0,0,0,0,0,3,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_plate,1,0,0,0,0,0,0,0,0,0,11,0,0,1,0,0,2,0,0,0,0,0,7,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,70,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1
+true_poppy,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,79,0,0,0,0,1,0,0,6,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0
+true_porcupine,0,0,1,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,3,0,0,0,0,1,0,0,0,0,0,0,70,0,2,1,0,0,0,0,0,1,0,8,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0
+true_possum,0,0,0,3,2,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,1,0,1,0,4,0,1,0,0,0,1,0,0,1,0,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,3,53,2,3,1,0,0,0,0,0,0,2,0,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,2,0,1
+true_rabbit,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,2,0,2,0,0,0,0,2,0,0,0,3,0,6,0,1,1,0,0,0,0,1,0,0,0,1,1,0,0,1,1,0,1,0,0,0,0,0,0,3,56,2,0,0,0,0,0,0,1,2,1,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0
+true_raccoon,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,76,0,0,0,0,0,3,0,2,2,0,0,3,0,1,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0
+true_ray,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,2,0,8,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,3,3,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,59,0,1,0,0,4,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,2
+true_road,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,93,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_rocket,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,83,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,1
+true_rose,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,3,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,77,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,9,0,0,0,0,0,1,1
+true_sea,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,79,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_seal,0,0,0,2,2,0,1,0,0,0,0,1,0,0,0,1,0,0,0,2,0,0,0,0,0,0,1,2,0,0,6,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,12,0,0,0,1,0,0,0,1,1,0,2,2,1,0,0,0,47,2,1,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,2,0,0,0,0
+true_shark,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,0,0,6,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,4,0,2,0,0,3,60,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,1,0,0,1,0,0,0,2
+true_shrew,0,0,0,0,5,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,2,1,0,0,0,0,6,1,0,0,0,2,0,0,0,0,0,0,0,4,1,2,2,0,0,0,0,0,1,0,55,1,0,2,2,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0
+true_skunk,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,0,83,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_skyscraper,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,1,0,0,0,89,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_snail,0,0,1,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,2,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,1,0,0,0,68,0,3,1,0,0,0,0,0,1,0,0,0,0,1,0,3,0,0,0,0,0,0
+true_snake,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,5,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,66,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11
+true_spider,0,0,0,0,0,0,1,3,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,2,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,79,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
+true_squirrel,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,1,1,1,2,0,1,0,1,0,0,0,3,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,3,1,0,0,0,0,0,3,0,2,2,0,0,0,0,68,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0
+true_streetcar,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,75,0,0,0,0,1,0,0,1,10,0,0,0,1,0,0,0,0,0
+true_sunflower,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,90,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_sweet_pepper,3,0,1,0,0,0,0,0,0,1,3,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,6,1,0,0,3,0,0,0,0,3,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,66,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0
+true_table,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,0,2,0,0,0,1,0,1,0,0,3,0,0,2,0,0,0,1,1,0,0,0,1,0,0,6,1,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,64,0,0,1,2,0,1,0,0,0,1,0,0,0,0,0
+true_tank,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,87,1,0,0,0,0,0,0,1,0,0,0,0,0,0
+true_telephone,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,3,0,0,0,0,0,4,0,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,71,4,0,0,0,0,0,0,2,0,0,0,0,0
+true_television,0,0,2,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,85,0,0,0,0,0,0,2,0,0,0,0,0
+true_tiger,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,8,1,1,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,2,0,0,0,77,0,0,0,0,0,0,0,0,1,0,0
+true_tractor,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,2,0,0,0,85,1,0,0,0,0,0,0,0,0,0
+true_train,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,1,1,0,0,88,0,0,0,0,1,0,0,0,0
+true_trout,0,3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,7,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,76,0,0,0,0,0,0,0,0
+true_tulip,0,0,0,0,0,0,2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,4,0,0,0,0,0,0,0,9,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,1,4,0,0,0,0,0,0,0,0,62,0,0,0,0,0,0,0
+true_turtle,0,2,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,6,0,0,0,0,3,0,1,1,0,1,1,1,1,0,0,1,1,0,0,0,0,0,0,1,0,66,0,1,0,1,0,0
+true_wardrobe,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,94,0,0,0,0,0
+true_whale,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,7,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,2,0,0,0,0,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,71,0,0,0,1
+true_willow_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,0,14,0,2,0,0,9,0,0,0,0,0,0,3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,66,0,0,0
+true_wolf,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,4,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,79,0,0
+true_woman,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,1,0,0,0,15,0,0,0,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,59,0
+true_worm,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,78

runs/p1-resnet56-cifar100-base-s3/metrics/exit_metrics.csv

@@ -0,0 +1,6 @@
+exit,depth_fraction,rho,flops,stage_cut,feature_dim
+1,0.18518518518518517,0.19246590547883694,48827584,5,16
+2,0.4074074074074074,0.41005403659957923,104028544,11,32
+3,0.5925925925925926,0.5973405516677682,151542144,16,32
+4,0.8148148148148148,0.8133593005010116,206344960,22,64
+5,1.0,1.0,253694720,27,64

runs/p1-resnet56-cifar100-base-s3/metrics/final.csv

@@ -0,0 +1,2 @@
+run_id,arch,family,dataset,seed,phase,method,config_hash,sample_order_hash,baseline_run_id,num_epochs_planned,num_epochs_run,started_utc,completed_utc,account,worker_id,msc_lib_version,torch_version,cuda_version,driver_version,gpu_names,n_gpus,top1_accuracy,top5_accuracy,val_loss,f1_macro,f1_micro,f1_weighted,precision_macro,precision_micro,precision_weighted,recall_macro,recall_micro,recall_weighted,balanced_accuracy,cohen_kappa,matthews_corrcoef,worst_class_f1,best_class_f1,n_classes_below_50pct_f1,ece,mce,nll,brier,confidence_mean,overconfidence_gap,params_total,params_trainable,params_nonzero,sparsity_pct,model_size_mb,model_size_mb_fp16,model_size_mb_int8,flops,macs,flops_per_param,n_layers,n_conv_layers,n_linear_layers,latency_bs1_mean_ms,latency_bs1_median_ms,latency_bs1_p90_ms,latency_bs1_p99_ms,latency_bs1_std_ms,latency_bs32_median_ms,latency_bs128_median_ms,throughput_bs1_img_s,throughput_bs32_img_s,throughput_bs128_img_s,warmup_batches_discarded,n_repeats,train_energy_j,train_energy_kwh,train_co2_kg,total_gpu_hours,inference_energy_j_per_image,inference_power_mean_w,inference_co2_g_per_1k_images,energy_per_accuracy_point,energy_reduction_pct,accuracy_change_pts,compression_ratio,speedup_vs_baseline,flops_reduction_pct,exit_accuracies_json,msc_mean_depth_tau0.1,msc_std_depth_tau0.1,frac_irreducible_tau0.1,reference_accuracy,accuracy_gap_vs_reference,recipe_ok
+p1-resnet56-cifar100-base-s3,resnet56,resnet,cifar100,3,p1,base,5090e7c8108c0e5bc02e3d75dd9be21fbf4af5463d8107b68353cb192d9274dd,NA,self,240,240,NA,2026-08-04T04:49:07Z,NA,0,1.0.0,2.10.0+cu128,12.8,580.159.04,Tesla T4;Tesla T4,2,0.7386,0.9258,1.080339499282837,0.739030289247006,0.7386,0.739030289247006,0.7418587671542014,0.7386,0.7418587671542014,0.7386,0.7386,0.7386,0.7386,0.7359595959595959,0.7359846644702507,0.43119266055045874,0.9365853658536586,3,0.09958092672377827,0.20418177737465393,1.0803437232971191,0.3834895193576813,0.8381809592247009,0.0995809592247009,861620,0,861620,0.0,3.3034896850585938,1.6517448425292969,0.8258724212646484,253694464,126847232,294.4389220305935,173,57,1,6.0697717800091295,6.037217433337598,6.152741980004066,6.206134167998243,0.07371963262044628,6.663940233344571,15.627494666659913,165.63922221485453,4801.96383513174,8190.692284994241,10,5,567058.432922466,0.15751623136735166,0.07482020989949204,2.381200942264663,0.2965999655989518,25.61834375,0.03913471768319503,0.002132632431185373,0.0,0.0,1.0,1.0,0.0,NA,NA,NA,NA,72.34,-1.519999999999996,True

runs/p1-resnet56-cifar100-base-s3/metrics/final.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "p1-resnet56-cifar100-base-s3",
+  "arch": "resnet56",
+  "family": "resnet",
+  "dataset": "cifar100",
+  "seed": 3,
+  "phase": "p1",
+  "method": "base",
+  "config_hash": "5090e7c8108c0e5bc02e3d75dd9be21fbf4af5463d8107b68353cb192d9274dd",
+  "sample_order_hash": "NA",
+  "baseline_run_id": "self",
+  "num_epochs_planned": 240,
+  "num_epochs_run": 240,
+  "started_utc": "NA",
+  "completed_utc": "2026-08-04T04:49:07Z",
+  "account": "NA",
+  "worker_id": 0,
+  "msc_lib_version": "1.0.0",
+  "torch_version": "2.10.0+cu128",
+  "cuda_version": "12.8",
+  "driver_version": "580.159.04",
+  "gpu_names": "Tesla T4;Tesla T4",
+  "n_gpus": 2,
+  "top1_accuracy": 0.7386,
+  "top5_accuracy": 0.9258,
+  "val_loss": 1.080339499282837,
+  "f1_macro": 0.739030289247006,
+  "f1_micro": 0.7386,
+  "f1_weighted": 0.739030289247006,
+  "precision_macro": 0.7418587671542014,
+  "precision_micro": 0.7386,
+  "precision_weighted": 0.7418587671542014,
+  "recall_macro": 0.7386,
+  "recall_micro": 0.7386,
+  "recall_weighted": 0.7386,
+  "balanced_accuracy": 0.7386,
+  "cohen_kappa": 0.7359595959595959,
+  "matthews_corrcoef": 0.7359846644702507,
+  "ece": 0.09958092672377827,
+  "mce": 0.20418177737465393,
+  "nll": 1.0803437232971191,
+  "brier": 0.3834895193576813,
+  "confidence_mean": 0.8381809592247009,
+  "overconfidence_gap": 0.0995809592247009,
+  "params_total": 861620,
+  "params_trainable": 0,
+  "params_nonzero": 861620,
+  "sparsity_pct": 0.0,
+  "model_size_mb": 3.3034896850585938,
+  "model_size_mb_fp16": 1.6517448425292969,
+  "model_size_mb_int8": 0.8258724212646484,
+  "flops": 253694464,
+  "macs": 126847232,
+  "flops_per_param": 294.4389220305935,
+  "n_layers": 173,
+  "n_conv_layers": 57,
+  "n_linear_layers": 1,
+  "warmup_batches_discarded": 10,
+  "n_repeats": 5,
+  "latency_bs1_median_ms": 6.037217433337598,
+  "throughput_bs1_img_s": 165.63922221485453,
+  "latency_bs1_mean_ms": 6.0697717800091295,
+  "latency_bs1_p90_ms": 6.152741980004066,
+  "latency_bs1_p99_ms": 6.206134167998243,
+  "latency_bs1_std_ms": 0.07371963262044628,
+  "inference_energy_j_per_image": 0.2965999655989518,
+  "inference_power_mean_w": 25.61834375,
+  "latency_bs32_median_ms": 6.663940233344571,
+  "throughput_bs32_img_s": 4801.96383513174,
+  "latency_bs128_median_ms": 15.627494666659913,
+  "throughput_bs128_img_s": 8190.692284994241,
+  "train_energy_j": 567058.432922466,
+  "train_energy_kwh": 0.15751623136735166,
+  "train_co2_kg": 0.07482020989949204,
+  "total_gpu_hours": 2.381200942264663,
+  "inference_co2_g_per_1k_images": 0.03913471768319503,
+  "energy_per_accuracy_point": 0.002132632431185373,
+  "reference_accuracy": 72.34,
+  "accuracy_change_pts": 0.0,
+  "compression_ratio": 1.0,
+  "speedup_vs_baseline": 1.0,
+  "flops_reduction_pct": 0.0,
+  "energy_reduction_pct": 0.0,
+  "accuracy_gap_vs_reference": -1.519999999999996,
+  "recipe_ok": true,
+  "worst_class_f1": 0.43119266055045874,
+  "best_class_f1": 0.9365853658536586,
+  "n_classes_below_50pct_f1": 3,
+  "exit_accuracies_json": "NA",
+  "msc_mean_depth_tau0.1": "NA",
+  "msc_std_depth_tau0.1": "NA",
+  "frac_irreducible_tau0.1": "NA"
+}

runs/p1-resnet56-cifar100-base-s3/metrics/inference_bench.csv

@@ -0,0 +1,2 @@
+warmup_batches_discarded,n_repeats,latency_bs1_median_ms,throughput_bs1_img_s,latency_bs1_mean_ms,latency_bs1_p90_ms,latency_bs1_p99_ms,latency_bs1_std_ms,inference_energy_j_per_image,inference_power_mean_w,latency_bs32_median_ms,throughput_bs32_img_s,latency_bs128_median_ms,throughput_bs128_img_s
+10,5,6.037217433337598,165.63922221485453,6.0697717800091295,6.152741980004066,6.206134167998243,0.07371963262044628,0.2965999655989518,25.61834375,6.663940233344571,4801.96383513174,15.627494666659913,8190.692284994241

runs/p1-resnet56-cifar100-base-s3/metrics/per_class.csv

@@ -0,0 +1,101 @@
+class_index,class_name,precision,recall,f1,support,accuracy
+0,apple,0.91,0.91,0.91,100,0.91
+1,aquarium_fish,0.8333333333333334,0.85,0.8415841584158416,100,0.85
+2,baby,0.5517241379310345,0.64,0.5925925925925926,100,0.64
+3,bear,0.6511627906976745,0.56,0.6021505376344086,100,0.56
+4,beaver,0.5865384615384616,0.61,0.5980392156862745,100,0.61
+5,bed,0.8202247191011236,0.73,0.7724867724867724,100,0.73
+6,bee,0.84,0.84,0.84,100,0.84
+7,beetle,0.7403846153846154,0.77,0.7549019607843137,100,0.77
+8,bicycle,0.900990099009901,0.91,0.9054726368159204,100,0.91
+9,bottle,0.86,0.86,0.86,100,0.86
+10,bowl,0.5727272727272728,0.63,0.6,100,0.63
+11,boy,0.4803921568627451,0.49,0.48514851485148514,100,0.49
+12,bridge,0.8351648351648352,0.76,0.7958115183246073,100,0.76
+13,bus,0.75,0.69,0.71875,100,0.69
+14,butterfly,0.7872340425531915,0.74,0.7628865979381443,100,0.74
+15,camel,0.8282828282828283,0.82,0.8241206030150754,100,0.82
+16,can,0.7403846153846154,0.77,0.7549019607843137,100,0.77
+17,castle,0.9148936170212766,0.86,0.8865979381443299,100,0.86
+18,caterpillar,0.6862745098039216,0.7,0.693069306930693,100,0.7
+19,cattle,0.7804878048780488,0.64,0.7032967032967034,100,0.64
+20,chair,0.8627450980392157,0.88,0.8712871287128713,100,0.88
+21,chimpanzee,0.8037383177570093,0.86,0.8309178743961353,100,0.86
+22,clock,0.6634615384615384,0.69,0.6764705882352942,100,0.69
+23,cloud,0.8556701030927835,0.83,0.8426395939086294,100,0.83
+24,cockroach,0.8842105263157894,0.84,0.8615384615384616,100,0.84
+25,couch,0.6,0.66,0.6285714285714286,100,0.66
+26,crab,0.7156862745098039,0.73,0.7227722772277227,100,0.73
+27,crocodile,0.6634615384615384,0.69,0.6764705882352942,100,0.69
+28,cup,0.7916666666666666,0.76,0.7755102040816326,100,0.76
+29,dinosaur,0.8390804597701149,0.73,0.7807486631016043,100,0.73
+30,dolphin,0.7023809523809523,0.59,0.6413043478260869,100,0.59
+31,elephant,0.8409090909090909,0.74,0.7872340425531915,100,0.74
+32,flatfish,0.6831683168316832,0.69,0.6865671641791045,100,0.69
+33,forest,0.7126436781609196,0.62,0.6631016042780749,100,0.62
+34,fox,0.7383177570093458,0.79,0.7632850241545893,100,0.79
+35,girl,0.5576923076923077,0.58,0.5686274509803921,100,0.58
+36,hamster,0.8333333333333334,0.8,0.8163265306122449,100,0.8
+37,house,0.7864077669902912,0.81,0.7980295566502463,100,0.81
+38,kangaroo,0.7070707070707071,0.7,0.7035175879396985,100,0.7
+39,keyboard,0.8865979381443299,0.86,0.8730964467005076,100,0.86
+40,lamp,0.6808510638297872,0.64,0.6597938144329897,100,0.64
+41,lawn_mower,0.8811881188118812,0.89,0.8855721393034826,100,0.89
+42,leopard,0.6785714285714286,0.76,0.7169811320754716,100,0.76
+43,lion,0.9222222222222223,0.83,0.8736842105263158,100,0.83
+44,lizard,0.5221238938053098,0.59,0.5539906103286385,100,0.59
+45,lobster,0.6122448979591837,0.6,0.6060606060606061,100,0.6
+46,man,0.5288461538461539,0.55,0.5392156862745098,100,0.55
+47,maple_tree,0.625,0.65,0.6372549019607843,100,0.65
+48,motorcycle,0.8596491228070176,0.98,0.9158878504672897,100,0.98
+49,mountain,0.8383838383838383,0.83,0.8341708542713567,100,0.83
+50,mouse,0.6413043478260869,0.59,0.6145833333333334,100,0.59
+51,mushroom,0.6909090909090909,0.76,0.7238095238095238,100,0.76
+52,oak_tree,0.6306306306306306,0.7,0.6635071090047393,100,0.7
+53,orange,0.9142857142857143,0.96,0.9365853658536586,100,0.96
+54,orchid,0.822429906542056,0.88,0.8502415458937198,100,0.88
+55,otter,0.4411764705882353,0.45,0.44554455445544555,100,0.45
+56,palm_tree,0.925531914893617,0.87,0.8969072164948454,100,0.87
+57,pear,0.7745098039215687,0.79,0.7821782178217822,100,0.79
+58,pickup_truck,0.8901098901098901,0.81,0.8481675392670157,100,0.81
+59,pine_tree,0.6548672566371682,0.74,0.6948356807511737,100,0.74
+60,plain,0.8446601941747572,0.87,0.8571428571428571,100,0.87
+61,plate,0.7954545454545454,0.7,0.7446808510638298,100,0.7
+62,poppy,0.7669902912621359,0.79,0.7783251231527094,100,0.79
+63,porcupine,0.7291666666666666,0.7,0.7142857142857143,100,0.7
+64,possum,0.6463414634146342,0.53,0.5824175824175825,100,0.53
+65,rabbit,0.5957446808510638,0.56,0.5773195876288659,100,0.56
+66,raccoon,0.8,0.76,0.7794871794871795,100,0.76
+67,ray,0.6082474226804123,0.59,0.5989847715736041,100,0.59
+68,road,0.8857142857142857,0.93,0.9073170731707317,100,0.93
+69,rocket,0.8137254901960784,0.83,0.8217821782178217,100,0.83
+70,rose,0.7623762376237624,0.77,0.7661691542288557,100,0.77
+71,sea,0.7821782178217822,0.79,0.7860696517412935,100,0.79
+72,seal,0.3983050847457627,0.47,0.43119266055045874,100,0.47
+73,shark,0.5405405405405406,0.6,0.5687203791469194,100,0.6
+74,shrew,0.514018691588785,0.55,0.5314009661835749,100,0.55
+75,skunk,0.8469387755102041,0.83,0.8383838383838383,100,0.83
+76,skyscraper,0.8640776699029126,0.89,0.8768472906403941,100,0.89
+77,snail,0.7472527472527473,0.68,0.7120418848167539,100,0.68
+78,snake,0.584070796460177,0.66,0.6197183098591549,100,0.66
+79,spider,0.7452830188679245,0.79,0.7669902912621359,100,0.79
+80,squirrel,0.6238532110091743,0.68,0.6507177033492823,100,0.68
+81,streetcar,0.6880733944954128,0.75,0.7177033492822966,100,0.75
+82,sunflower,0.9278350515463918,0.9,0.9137055837563451,100,0.9
+83,sweet_pepper,0.6804123711340206,0.66,0.6700507614213198,100,0.66
+84,table,0.7804878048780488,0.64,0.7032967032967034,100,0.64
+85,tank,0.8529411764705882,0.87,0.8613861386138614,100,0.87
+86,telephone,0.7888888888888889,0.71,0.7473684210526316,100,0.71
+87,television,0.7391304347826086,0.85,0.7906976744186046,100,0.85
+88,tiger,0.7938144329896907,0.77,0.7817258883248731,100,0.77
+89,tractor,0.8673469387755102,0.85,0.8585858585858586,100,0.85
+90,train,0.7394957983193278,0.88,0.8036529680365296,100,0.88
+91,trout,0.8172043010752689,0.76,0.7875647668393783,100,0.76
+92,tulip,0.6739130434782609,0.62,0.6458333333333334,100,0.62
+93,turtle,0.673469387755102,0.66,0.6666666666666666,100,0.66
+94,wardrobe,0.8703703703703703,0.94,0.9038461538461539,100,0.94
+95,whale,0.7553191489361702,0.71,0.7319587628865979,100,0.71
+96,willow_tree,0.7252747252747253,0.66,0.6910994764397905,100,0.66
+97,wolf,0.8404255319148937,0.79,0.8144329896907216,100,0.79
+98,woman,0.6276595744680851,0.59,0.6082474226804123,100,0.59
+99,worm,0.7155963302752294,0.78,0.7464114832535885,100,0.78

runs/p1-resnet8x4-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:869949d3e01f8079ad970a1c6356a6c7c3253fc24dd4cac9f70282e5a0e3f71b
+size 195142

runs/p1-vgg13-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:187fd29ea940ce2cdf301a555de1872127e3203e661c2e97cd643827e8c06a9a
+size 626288

runs/p1-vgg13-cifar100-base-s2/metrics/calibration.csv

@@ -0,0 +1,16 @@
+bin_lo,bin_hi,count,confidence,accuracy,gap
+0.0,0.06666666666666667,1,0.06284859776496887,0.0,-0.06284859776496887
+0.06666666666666667,0.13333333333333333,116,0.11380961537361145,0.11206896551724138,-0.001740649856370069
+0.13333333333333333,0.2,372,0.16957272589206696,0.16666666666666666,-0.002906059225400298
+0.2,0.26666666666666666,525,0.23374123871326447,0.2,-0.033741238713264454
+0.26666666666666666,0.3333333333333333,575,0.3010351061820984,0.23478260869565218,-0.06625249748644621
+0.3333333333333333,0.4,613,0.36679521203041077,0.2936378466557912,-0.07315736537461959
+0.4,0.4666666666666667,582,0.4330858886241913,0.3711340206185567,-0.06195186800563457
+0.4666666666666667,0.5333333333333333,577,0.5000991225242615,0.4246100519930676,-0.07548907053119386
+0.5333333333333333,0.6,597,0.5656542778015137,0.49413735343383586,-0.07151692436767781
+0.6,0.6666666666666666,550,0.6334864497184753,0.5472727272727272,-0.0862137224457481
+0.6666666666666666,0.7333333333333333,550,0.7001683712005615,0.5563636363636364,-0.14380473483692513
+0.7333333333333333,0.8,557,0.7678082585334778,0.5816876122082585,-0.1861206463252193
+0.8,0.8666666666666667,604,0.8334763646125793,0.6937086092715232,-0.13976775534105612
+0.8666666666666667,0.9333333333333333,800,0.9023518562316895,0.78125,-0.12110185623168945
+0.9333333333333333,1.0,2981,0.9831144213676453,0.9292183830929218,-0.053896038274723446

runs/p1-vgg13-cifar100-base-s2/metrics/confusion_matrix.csv

@@ -0,0 +1,101 @@
+,pred_apple,pred_aquarium_fish,pred_baby,pred_bear,pred_beaver,pred_bed,pred_bee,pred_beetle,pred_bicycle,pred_bottle,pred_bowl,pred_boy,pred_bridge,pred_bus,pred_butterfly,pred_camel,pred_can,pred_castle,pred_caterpillar,pred_cattle,pred_chair,pred_chimpanzee,pred_clock,pred_cloud,pred_cockroach,pred_couch,pred_crab,pred_crocodile,pred_cup,pred_dinosaur,pred_dolphin,pred_elephant,pred_flatfish,pred_forest,pred_fox,pred_girl,pred_hamster,pred_house,pred_kangaroo,pred_keyboard,pred_lamp,pred_lawn_mower,pred_leopard,pred_lion,pred_lizard,pred_lobster,pred_man,pred_maple_tree,pred_motorcycle,pred_mountain,pred_mouse,pred_mushroom,pred_oak_tree,pred_orange,pred_orchid,pred_otter,pred_palm_tree,pred_pear,pred_pickup_truck,pred_pine_tree,pred_plain,pred_plate,pred_poppy,pred_porcupine,pred_possum,pred_rabbit,pred_raccoon,pred_ray,pred_road,pred_rocket,pred_rose,pred_sea,pred_seal,pred_shark,pred_shrew,pred_skunk,pred_skyscraper,pred_snail,pred_snake,pred_spider,pred_squirrel,pred_streetcar,pred_sunflower,pred_sweet_pepper,pred_table,pred_tank,pred_telephone,pred_television,pred_tiger,pred_tractor,pred_train,pred_trout,pred_tulip,pred_turtle,pred_wardrobe,pred_whale,pred_willow_tree,pred_wolf,pred_woman,pred_worm
+true_apple,71,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,5,0,4,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+true_aquarium_fish,0,71,1,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,1,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,1
+true_baby,0,0,56,1,0,1,1,0,0,0,3,1,0,1,0,1,0,0,0,0,0,1,0,0,0,2,0,0,1,0,0,0,1,0,0,2,0,0,0,1,1,0,0,0,0,0,13,0,0,0,1,1,0,2,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0
+true_bear,0,0,1,33,4,0,1,2,0,0,1,0,0,0,1,5,0,2,0,2,0,10,0,0,0,1,0,2,0,4,0,3,0,0,2,0,0,1,0,0,0,0,2,3,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,2,0,1,5,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,1,0,0
+true_beaver,0,1,1,1,39,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,2,0,0,0,0,3,2,0,2,0,0,1,1,1,0,0,1,0,0,0,1,3,0,0,1,0,0,0,0,3,3,0,0,0,3,0,0,0,0,0,0,0,6,1,1,0,2,0,0,0,0,1,0,0,1,0,2,1,0,1,0,0,0,0,0,0,0,0,1,1,0,0,9,0,0,0,0,1,0
+true_bed,0,0,0,0,0,46,0,0,1,0,0,0,0,0,0,0,1,1,0,0,5,0,1,0,0,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,2,0,0,2,0,0,3,0,1,0,0,0,0,5,0,0,0,0,1
+true_bee,0,0,0,0,0,0,71,4,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,0,1,1,0,1,1,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0
+true_beetle,0,0,0,0,0,0,3,60,1,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,11,1,2,1,0,0,0,0,1,0,0,0,0,0,0,0,1,2,0,0,1,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0
+true_bicycle,0,0,0,0,0,0,0,0,79,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,6,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,1,0,0,0,0,0,0,0,0,1
+true_bottle,0,0,0,0,0,0,0,1,0,72,0,1,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,2,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,4,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0
+true_bowl,0,0,2,1,0,0,0,0,0,0,37,0,0,0,0,0,9,0,0,0,1,0,3,0,0,3,0,1,17,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,12,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2
+true_boy,0,0,27,0,0,0,0,0,0,0,0,30,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,3,0,0,0,0,1,0,0,0,0,0,23,0,0,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,6,0
+true_bridge,0,0,0,0,0,1,0,0,0,0,0,0,71,0,0,0,0,1,1,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,4,0,0,0,0,2,0,0,0,0,9,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0
+true_bus,0,0,0,0,0,1,0,0,0,1,0,0,2,33,0,0,4,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,46,0,0,2,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0
+true_butterfly,0,1,0,1,1,0,5,2,0,0,0,0,0,0,61,0,0,0,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,2,0,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,0,0,0,0,2,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0
+true_camel,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,68,1,5,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,4,0,0,1,0,0,0,0,6,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_can,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,78,1,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0
+true_castle,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_caterpillar,0,3,0,0,0,0,7,2,0,1,0,0,0,0,1,0,0,0,51,0,0,0,0,0,0,0,0,4,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,4,1,1,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,2,0,0,1,0,0,1,2,1,1,0,1,0,0,0,1,1,1,1,0,0,0,0,0,1
+true_cattle,0,0,0,2,1,0,0,0,1,0,0,0,0,0,0,14,0,3,0,41,0,1,0,0,0,3,0,1,0,1,0,1,1,0,3,1,0,0,0,0,0,2,0,3,0,1,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,2,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0
+true_chair,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,81,0,0,0,0,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0
+true_chimpanzee,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,80,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,2,0,0
+true_clock,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,3,1,0,0,0,0,64,0,0,1,1,0,1,0,0,0,0,0,1,0,0,1,0,3,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,0,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,2
+true_cloud,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,41,0,1,0,0,0,0,0,0,0,5,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,2,0,1,0,36,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_cockroach,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,80,1,2,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0
+true_couch,0,0,0,0,0,1,0,0,0,1,1,0,0,1,0,0,1,0,0,0,7,0,2,0,0,59,0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,1,0,2,4,0,1,2,0,0,1,3,0,0,0,0,1
+true_crab,0,0,1,0,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,63,2,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,12,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,2,2,0,0,0,0,2,0,0,0,0,0,0,0,0,3,0,1,0,0,0,1
+true_crocodile,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,2,58,0,0,0,1,2,1,1,0,0,0,1,0,0,3,3,0,3,1,0,0,0,1,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,1,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,1,0,4,0,0,0,0,0,0
+true_cup,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,0,0,77,0,0,0,0,0,0,0,0,0,0,0,11,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0
+true_dinosaur,0,1,1,1,0,0,0,0,0,0,0,0,2,0,0,1,0,1,0,0,0,0,0,0,0,0,4,0,0,61,0,1,1,0,1,0,0,0,0,0,1,0,1,0,5,2,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,2
+true_dolphin,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,46,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,3,1,11,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,3,0,11,0,0,0,4
+true_elephant,0,0,0,2,0,0,0,0,0,0,0,0,2,0,0,6,0,0,0,4,0,2,2,0,0,0,0,1,0,8,0,51,1,0,0,0,0,0,0,1,0,0,1,0,0,1,2,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,2,2,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0
+true_flatfish,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,5,0,0,0,0,63,0,0,0,0,0,0,0,0,0,0,0,0,1,7,0,0,1,0,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,5,0,0,0,0,0,0
+true_forest,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,64,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,2,0,0,0,1,3,0,0,0,0,0,0,0,1,2,1,1,0,2,0,1,0,0,0
+true_fox,0,1,0,4,1,0,0,0,0,0,0,1,0,0,0,3,0,1,0,0,0,0,0,0,0,0,2,1,1,2,0,1,0,1,60,0,0,0,1,0,1,0,1,8,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0
+true_girl,0,0,21,0,0,1,0,0,0,0,0,5,0,0,0,0,1,0,0,0,0,2,1,0,0,1,0,0,0,0,1,0,0,0,0,16,0,0,0,0,1,0,0,0,0,2,19,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,22,0
+true_hamster,0,3,5,2,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,2,0,0,1,0,0,0,1,0,1,2,45,1,0,0,1,0,0,2,0,0,1,0,0,0,1,2,0,0,0,0,0,1,0,0,0,1,0,1,0,14,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,2,1,0
+true_house,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,16,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,0,60,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,3,0,0,0,0,8,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0
+true_kangaroo,0,0,0,1,1,0,0,1,0,0,0,1,0,0,0,2,0,0,1,3,0,0,0,0,0,0,2,3,0,2,0,1,1,1,3,0,0,0,44,0,2,0,1,5,1,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,2,0,4,0,0,0,1,0,0,0,0,0,0,0,0,2,0,3,0,0,0,1,0,0,0,0,1,0,0,0,1,1,0,0,2,0,1
+true_keyboard,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,84,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,1
+true_lamp,0,1,0,0,0,0,0,0,0,1,1,1,1,1,0,0,2,1,0,0,0,0,1,0,1,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,70,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,1,2,0,0,0,0,3
+true_lawn_mower,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,71,0,0,1,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,1,1,1,1,0,10,0,0,0,0,0,0,0,0,0,0
+true_leopard,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,3,2,4,1,1,0,0,0,2,2,0,0,0,0,0,0,0,57,1,1,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,3,0,0,0,0,4,0,0,0,1,0,0
+true_lion,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,2,0,1,0,0,0,0,1,0,0,0,0,0,0,0,2,80,0,1,0,0,0,0,0,3,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0
+true_lizard,0,0,0,0,0,0,0,0,0,3,1,0,0,0,0,0,1,0,4,0,0,0,0,0,0,5,6,9,0,2,0,0,0,0,0,0,0,0,0,0,1,0,1,0,32,4,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,1,1,0,8,1,0,1,0,0,2,0,0,0,0,0,0,0,0,2,0,0,0,0,0,8
+true_lobster,0,0,2,0,0,0,0,1,1,0,1,0,0,0,0,2,2,0,0,0,0,0,0,0,1,1,6,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,61,2,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,1,1,1
+true_man,0,0,6,0,0,0,0,0,0,0,0,4,0,1,1,2,1,1,0,2,0,2,0,0,0,0,0,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,3,61,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,1,1,0,2,0,0,0,0,0,0,0,0,4,1
+true_maple_tree,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,89,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,3,0,0,0
+true_motorcycle,0,0,0,0,0,0,0,1,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,89,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0
+true_mountain,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,74,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0
+true_mouse,0,1,0,1,2,1,1,1,1,0,0,0,0,0,2,2,0,1,0,2,0,0,2,0,0,3,0,2,1,4,0,0,4,0,0,0,7,0,1,0,0,0,4,0,2,0,0,0,0,1,21,5,0,0,0,1,0,1,0,0,0,1,0,3,1,6,0,3,0,0,0,0,0,1,2,1,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,1,1,2,0,0,0,1,0,0
+true_mushroom,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,85,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0
+true_oak_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,88,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0
+true_orange,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,89,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_orchid,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,7,1,0,0,0,1,0,0,0,0,0,9,0,0,48,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,23,0,0,0,0,0,0,0
+true_otter,0,0,1,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,1,2,14,0,3,1,0,0,0,0,0,0,0,0,0,3,1,0,3,0,2,0,0,0,0,0,6,0,0,0,18,0,0,1,0,0,0,0,0,0,4,1,0,0,1,0,0,4,1,0,6,1,0,1,0,3,0,0,0,0,0,0,0,0,0,0,1,0,8,0,2,0,2,0,2
+true_palm_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,4,0,0,0,3,0,0,0,0,78,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,2,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0
+true_pear,1,0,3,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,2,0,5,0,0,0,59,0,0,0,2,0,0,0,1,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,7,0,0,1,0,0,0,0,0,5,0,0,0,0,0,1,1
+true_pickup_truck,0,0,0,0,0,1,0,0,0,0,0,0,3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,71,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,1,0,1,0,11,3,0,0,0,0,0,0,0,0,0
+true_pine_tree,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,45,0,1,0,1,1,0,0,1,6,0,0,19,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,1,2,0,0,0,0,0,0,0,0,1,0,1,0,0,1,5,0,0,0
+true_plain,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,71,0,0,0,0,0,0,0,3,0,0,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+true_plate,0,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,2,0,0,0,0,0,12,0,0,0,3,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,1
+true_poppy,0,1,0,0,0,0,3,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,4,0,4,1,0,0,0,0,0,0,0,66,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,0,1,0,0,0,0,0
+true_porcupine,0,0,0,3,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,2,0,3,0,1,3,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,4,0,0,0,0,1,0,0,0,0,0,0,55,0,2,1,0,0,0,0,0,0,0,0,2,0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,8,0,0,0,0,0,0
+true_possum,0,0,2,1,0,0,0,1,0,0,0,1,0,0,3,0,0,0,0,0,0,2,0,0,0,1,0,3,0,2,0,0,1,0,0,1,0,0,1,0,0,1,1,2,1,2,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,1,0,37,8,3,2,0,0,0,0,0,0,0,2,0,0,2,0,0,0,0,0,0,0,0,0,1,0,1,0,1,5,0,0,0,5,1,2
+true_rabbit,0,0,1,0,2,1,1,0,0,0,1,0,0,0,2,0,0,0,0,0,0,6,0,0,0,2,1,0,2,1,0,1,1,0,0,0,0,0,3,0,0,0,0,0,0,1,0,0,0,0,1,3,0,0,1,1,0,0,0,0,0,1,1,2,1,49,0,0,0,0,0,0,0,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,2,2,2,1,0,0,0,3
+true_raccoon,0,1,0,2,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,3,0,0,1,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,0,0,6,0,0,0,0,0,0,1,0,0,0,0,0,1,3,58,0,0,0,0,0,0,0,1,6,1,0,1,0,2,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0
+true_ray,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,4,2,0,0,0,6,2,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,58,0,0,0,2,1,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,6
+true_road,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,83,1,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0
+true_rocket,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,66,0,4,0,0,0,0,8,0,0,0,0,0,0,0,0,1,0,0,0,0,3,0,0,1,0,0,0,0,0,2
+true_rose,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,2,0,1,0,0,0,11,0,0,3,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,45,0,0,0,0,0,0,1,0,0,0,0,2,0,0,0,0,0,0,0,0,0,18,0,0,0,0,0,0,1
+true_sea,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,94,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
+true_seal,0,0,2,4,1,0,0,1,0,1,0,1,0,0,0,2,2,0,0,4,0,3,0,0,0,0,1,11,1,2,3,2,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,5,0,1,1,0,0,0,0,0,1,2,2,4,0,0,0,0,12,3,0,2,0,0,0,2,2,1,0,0,0,0,1,0,1,0,1,0,0,8,0,5,0,0,0,1
+true_shark,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,4,0,0,4,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,0,1,0,0,0,57,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,3,0,3,0,2,0,0,0,3
+true_shrew,0,0,0,0,5,0,0,5,0,0,1,0,0,0,1,1,1,0,1,0,0,2,0,0,0,3,7,6,0,2,0,0,2,1,1,0,0,0,2,0,0,2,0,1,1,2,0,0,0,0,4,4,0,0,0,0,0,1,0,0,0,0,0,5,2,1,0,1,0,0,0,0,0,0,18,4,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,2
+true_skunk,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,2,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,90,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+true_skyscraper,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,88,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+true_snail,0,0,2,0,0,0,2,0,0,0,0,0,0,0,1,0,2,0,2,0,0,0,3,0,0,0,2,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,2,1,0,0,1,0,0,15,0,1,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,46,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,3,0,0,0,0,1,2
+true_snake,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,2,3,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,3,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,0,59,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,11
+true_spider,0,0,0,0,0,0,5,6,1,0,0,1,0,0,2,0,0,0,3,0,0,0,0,0,2,0,4,3,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,4,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,56,2,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,1
+true_squirrel,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,0,2,0,0,0,0,0,1,0,4,0,1,0,1,0,0,1,0,0,0,1,0,0,1,2,0,1,1,0,0,0,0,2,5,0,0,0,2,0,0,0,0,0,0,0,2,0,4,0,0,0,0,0,0,0,0,0,7,0,0,0,0,51,0,0,0,0,0,0,2,0,1,0,0,0,1,0,0,0,1,0,1
+true_streetcar,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,89,0,0,0,0,0,0,0,1,3,0,0,0,1,0,0,0,0,0
+true_sunflower,0,0,0,0,0,0,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,80,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0
+true_sweet_pepper,0,0,1,0,0,0,0,0,0,5,0,0,0,0,1,0,5,0,2,0,0,0,0,0,0,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,6,0,0,0,0,0,3,0,16,0,0,0,1,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,45,0,0,0,0,0,1,0,0,5,0,1,0,0,0,0,0
+true_table,0,0,0,0,0,2,0,0,1,1,1,0,0,0,0,0,5,1,0,0,1,0,0,0,0,4,0,1,1,0,0,0,0,0,0,0,0,0,0,0,9,1,0,0,1,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,56,1,2,2,0,2,0,0,0,0,2,0,0,0,0,0
+true_tank,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,6,1,0,0,0,0,0,0,3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,5,0,0,0,61,0,1,0,4,6,0,0,0,0,0,0,0,0,0
+true_telephone,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,7,0,0,0,0,0,6,0,0,2,0,1,1,0,0,0,0,0,0,0,0,0,0,3,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,61,5,0,0,1,0,0,1,2,1,0,0,0,0
+true_television,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,1,2,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,3,74,0,2,0,0,0,0,3,0,0,0,1,0
+true_tiger,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,3,0,0,1,1,1,0,0,5,5,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,0,65,0,0,0,0,0,0,0,0,3,1,0
+true_tractor,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,0,0,1,0,1,0,84,2,0,0,0,0,0,0,0,0,0
+true_train,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,2,2,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28,0,0,0,0,0,1,0,4,59,0,0,0,0,0,0,0,0,0
+true_trout,0,3,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,1,0,3,1,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,5,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,70,0,1,0,1,0,0,1,0
+true_tulip,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,2,0,2,2,0,0,0,0,0,0,0,13,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,67,0,0,0,0,0,1,0
+true_turtle,0,3,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,6,1,0,2,0,0,0,0,0,0,0,0,0,0,2,0,0,1,3,0,2,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,3,0,1,0,1,1,2,1,0,0,0,1,0,0,0,0,0,0,1,0,57,0,0,1,0,0,2
+true_wardrobe,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,91,0,0,0,0,0
+true_whale,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,10,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,4,0,1,0,1,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,68,0,0,0,1
+true_willow_tree,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,30,0,1,0,2,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,1,0,0,0,2,0,39,0,0,0
+true_wolf,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,4,0,0,1,0,0,0,0,3,0,0,0,0,0,0,1,0,0,1,1,0,0,0,1,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,2,0,0,1,0,0,0,0,0,1,0,0,0,69,0,0
+true_woman,0,0,9,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,2,1,0,0,1,1,0,0,1,0,0,1,0,1,2,0,0,0,0,1,0,0,1,0,0,30,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,38,0
+true_worm,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,0,0,0,0,0,0,2,0,0,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,73

runs/p1-vgg13-cifar100-base-s2/metrics/exit_metrics.csv

@@ -0,0 +1,6 @@
+exit,depth_fraction,rho,flops,stage_cut,feature_dim
+1,0.21428571428571427,0.17395324743905877,79606528,3,64
+2,0.42857142857142855,0.4219802374548563,193111552,6,128
+3,0.5714285714285714,0.6698209466867753,306531328,8,256
+4,0.7857142857142857,0.9175039046242387,419878912,11,512
+5,1.0,1.0,457631744,14,512

runs/p1-vgg13-cifar100-base-s2/metrics/final.csv

@@ -0,0 +1,2 @@
+run_id,arch,family,dataset,seed,phase,method,config_hash,sample_order_hash,baseline_run_id,num_epochs_planned,num_epochs_run,started_utc,completed_utc,account,worker_id,msc_lib_version,torch_version,cuda_version,driver_version,gpu_names,n_gpus,top1_accuracy,top5_accuracy,val_loss,f1_macro,f1_micro,f1_weighted,precision_macro,precision_micro,precision_weighted,recall_macro,recall_micro,recall_weighted,balanced_accuracy,cohen_kappa,matthews_corrcoef,worst_class_f1,best_class_f1,n_classes_below_50pct_f1,ece,mce,nll,brier,confidence_mean,overconfidence_gap,params_total,params_trainable,params_nonzero,sparsity_pct,model_size_mb,model_size_mb_fp16,model_size_mb_int8,flops,macs,flops_per_param,n_layers,n_conv_layers,n_linear_layers,latency_bs1_mean_ms,latency_bs1_median_ms,latency_bs1_p90_ms,latency_bs1_p99_ms,latency_bs1_std_ms,latency_bs32_median_ms,latency_bs128_median_ms,throughput_bs1_img_s,throughput_bs32_img_s,throughput_bs128_img_s,warmup_batches_discarded,n_repeats,train_energy_j,train_energy_kwh,train_co2_kg,total_gpu_hours,inference_energy_j_per_image,inference_power_mean_w,inference_co2_g_per_1k_images,energy_per_accuracy_point,energy_reduction_pct,accuracy_change_pts,compression_ratio,speedup_vs_baseline,flops_reduction_pct,exit_accuracies_json,msc_mean_depth_tau0.1,msc_std_depth_tau0.1,frac_irreducible_tau0.1,reference_accuracy,accuracy_gap_vs_reference,recipe_ok
+p1-vgg13-cifar100-base-s2,vgg13,vgg,cifar100,2,p1,base,45323bad02d1d2d526c95df5abeaaea5a848fb98804adf34030f16eb9f7a777e,NA,self,240,240,NA,2026-08-04T04:56:12Z,NA,0,1.0.0,2.10.0+cu128,12.8,580.159.04,Tesla T4;Tesla T4,2,0.5996,0.8642,1.5049609142303466,0.5933955882848782,0.5996,0.5933955882848783,0.6461690706200873,0.5996,0.6461690706200873,0.5995999999999999,0.5996,0.5996,0.5995999999999999,0.5955555555555556,0.5962373784773817,0.0196078431372549,0.8783068783068783,24,0.07964540549069643,0.1861206463252193,1.5049570798873901,0.5355854630470276,0.6792454123497009,0.0796454123497009,9459236,0,9459236,0.0,36.106658935546875,18.053329467773438,9.026664733886719,457629696,228814848,48.379139287781804,48,10,1,1.2339006533329666,1.2300886999886036,1.2554772733407542,1.2682898173394885,0.019354900886166662,3.797754099984256,11.291161499987842,812.9495051936211,8426.032638640996,11336.300521442176,10,5,311425.6590717008,0.08650712751991689,0.04109088557196052,1.1325739803579118,0.08484277799536134,36.6535,0.011194533207721288,0.0014427472901920762,0.0,0.0,1.0,1.0,0.0,NA,NA,NA,NA,74.64,14.68,False

runs/p1-vgg13-cifar100-base-s2/metrics/final.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "p1-vgg13-cifar100-base-s2",
+  "arch": "vgg13",
+  "family": "vgg",
+  "dataset": "cifar100",
+  "seed": 2,
+  "phase": "p1",
+  "method": "base",
+  "config_hash": "45323bad02d1d2d526c95df5abeaaea5a848fb98804adf34030f16eb9f7a777e",
+  "sample_order_hash": "NA",
+  "baseline_run_id": "self",
+  "num_epochs_planned": 240,
+  "num_epochs_run": 240,
+  "started_utc": "NA",
+  "completed_utc": "2026-08-04T04:56:12Z",
+  "account": "NA",
+  "worker_id": 0,
+  "msc_lib_version": "1.0.0",
+  "torch_version": "2.10.0+cu128",
+  "cuda_version": "12.8",
+  "driver_version": "580.159.04",
+  "gpu_names": "Tesla T4;Tesla T4",
+  "n_gpus": 2,
+  "top1_accuracy": 0.5996,
+  "top5_accuracy": 0.8642,
+  "val_loss": 1.5049609142303466,
+  "f1_macro": 0.5933955882848782,
+  "f1_micro": 0.5996,
+  "f1_weighted": 0.5933955882848783,
+  "precision_macro": 0.6461690706200873,
+  "precision_micro": 0.5996,
+  "precision_weighted": 0.6461690706200873,
+  "recall_macro": 0.5995999999999999,
+  "recall_micro": 0.5996,
+  "recall_weighted": 0.5996,
+  "balanced_accuracy": 0.5995999999999999,
+  "cohen_kappa": 0.5955555555555556,
+  "matthews_corrcoef": 0.5962373784773817,
+  "ece": 0.07964540549069643,
+  "mce": 0.1861206463252193,
+  "nll": 1.5049570798873901,
+  "brier": 0.5355854630470276,
+  "confidence_mean": 0.6792454123497009,
+  "overconfidence_gap": 0.0796454123497009,
+  "params_total": 9459236,
+  "params_trainable": 0,
+  "params_nonzero": 9459236,
+  "sparsity_pct": 0.0,
+  "model_size_mb": 36.106658935546875,
+  "model_size_mb_fp16": 18.053329467773438,
+  "model_size_mb_int8": 9.026664733886719,
+  "flops": 457629696,
+  "macs": 228814848,
+  "flops_per_param": 48.379139287781804,
+  "n_layers": 48,
+  "n_conv_layers": 10,
+  "n_linear_layers": 1,
+  "warmup_batches_discarded": 10,
+  "n_repeats": 5,
+  "latency_bs1_median_ms": 1.2300886999886036,
+  "throughput_bs1_img_s": 812.9495051936211,
+  "latency_bs1_mean_ms": 1.2339006533329666,
+  "latency_bs1_p90_ms": 1.2554772733407542,
+  "latency_bs1_p99_ms": 1.2682898173394885,
+  "latency_bs1_std_ms": 0.019354900886166662,
+  "inference_energy_j_per_image": 0.08484277799536134,
+  "inference_power_mean_w": 36.6535,
+  "latency_bs32_median_ms": 3.797754099984256,
+  "throughput_bs32_img_s": 8426.032638640996,
+  "latency_bs128_median_ms": 11.291161499987842,
+  "throughput_bs128_img_s": 11336.300521442176,
+  "train_energy_j": 311425.6590717008,
+  "train_energy_kwh": 0.08650712751991689,
+  "train_co2_kg": 0.04109088557196052,
+  "total_gpu_hours": 1.1325739803579118,
+  "inference_co2_g_per_1k_images": 0.011194533207721288,
+  "energy_per_accuracy_point": 0.0014427472901920762,
+  "reference_accuracy": 74.64,
+  "accuracy_change_pts": 0.0,
+  "compression_ratio": 1.0,
+  "speedup_vs_baseline": 1.0,
+  "flops_reduction_pct": 0.0,
+  "energy_reduction_pct": 0.0,
+  "accuracy_gap_vs_reference": 14.68,
+  "recipe_ok": false,
+  "worst_class_f1": 0.0196078431372549,
+  "best_class_f1": 0.8783068783068783,
+  "n_classes_below_50pct_f1": 24,
+  "exit_accuracies_json": "NA",
+  "msc_mean_depth_tau0.1": "NA",
+  "msc_std_depth_tau0.1": "NA",
+  "frac_irreducible_tau0.1": "NA"
+}

runs/p1-vgg13-cifar100-base-s2/metrics/inference_bench.csv

@@ -0,0 +1,2 @@
+warmup_batches_discarded,n_repeats,latency_bs1_median_ms,throughput_bs1_img_s,latency_bs1_mean_ms,latency_bs1_p90_ms,latency_bs1_p99_ms,latency_bs1_std_ms,inference_energy_j_per_image,inference_power_mean_w,latency_bs32_median_ms,throughput_bs32_img_s,latency_bs128_median_ms,throughput_bs128_img_s
+10,5,1.2300886999886036,812.9495051936211,1.2339006533329666,1.2554772733407542,1.2682898173394885,0.019354900886166662,0.08484277799536134,36.6535,3.797754099984256,8426.032638640996,11.291161499987842,11336.300521442176

runs/p1-vgg13-cifar100-base-s2/metrics/per_class.csv

@@ -0,0 +1,101 @@
+class_index,class_name,precision,recall,f1,support,accuracy
+0,apple,0.9861111111111112,0.71,0.8255813953488372,100,0.71
+1,aquarium_fish,0.7634408602150538,0.71,0.7357512953367875,100,0.71
+2,baby,0.37333333333333335,0.56,0.448,100,0.56
+3,bear,0.4925373134328358,0.33,0.39520958083832336,100,0.33
+4,beaver,0.609375,0.39,0.47560975609756095,100,0.39
+5,bed,0.8070175438596491,0.46,0.5859872611464968,100,0.46
+6,bee,0.6068376068376068,0.71,0.6543778801843319,100,0.71
+7,beetle,0.5504587155963303,0.6,0.5741626794258373,100,0.6
+8,bicycle,0.8586956521739131,0.79,0.8229166666666666,100,0.79
+9,bottle,0.75,0.72,0.7346938775510204,100,0.72
+10,bowl,0.5211267605633803,0.37,0.4327485380116959,100,0.37
+11,boy,0.5882352941176471,0.3,0.3973509933774834,100,0.3
+12,bridge,0.7473684210526316,0.71,0.7282051282051282,100,0.71
+13,bus,0.7674418604651163,0.33,0.46153846153846156,100,0.33
+14,butterfly,0.7011494252873564,0.61,0.6524064171122995,100,0.61
+15,camel,0.591304347826087,0.68,0.6325581395348837,100,0.68
+16,can,0.4936708860759494,0.78,0.6046511627906976,100,0.78
+17,castle,0.5202312138728323,0.9,0.6593406593406593,100,0.9
+18,caterpillar,0.6,0.51,0.5513513513513514,100,0.51
+19,cattle,0.5616438356164384,0.41,0.47398843930635837,100,0.41
+20,chair,0.8181818181818182,0.81,0.8140703517587939,100,0.81
+21,chimpanzee,0.6504065040650406,0.8,0.7174887892376681,100,0.8
+22,clock,0.5765765765765766,0.64,0.6066350710900474,100,0.64
+23,cloud,0.9318181818181818,0.41,0.5694444444444444,100,0.41
+24,cockroach,0.8163265306122449,0.8,0.8080808080808081,100,0.8
+25,couch,0.34502923976608185,0.59,0.4354243542435424,100,0.59
+26,crab,0.49606299212598426,0.63,0.5550660792951542,100,0.63
+27,crocodile,0.3020833333333333,0.58,0.3972602739726027,100,0.58
+28,cup,0.6209677419354839,0.77,0.6875,100,0.77
+29,dinosaur,0.5398230088495575,0.61,0.5727699530516432,100,0.61
+30,dolphin,0.6666666666666666,0.46,0.5443786982248521,100,0.46
+31,elephant,0.7846153846153846,0.51,0.6181818181818182,100,0.51
+32,flatfish,0.5675675675675675,0.63,0.5971563981042654,100,0.63
+33,forest,0.5470085470085471,0.64,0.5898617511520737,100,0.64
+34,fox,0.6976744186046512,0.6,0.6451612903225806,100,0.6
+35,girl,0.5714285714285714,0.16,0.25,100,0.16
+36,hamster,0.8653846153846154,0.45,0.5921052631578947,100,0.45
+37,house,0.7228915662650602,0.6,0.6557377049180327,100,0.6
+38,kangaroo,0.7457627118644068,0.44,0.5534591194968553,100,0.44
+39,keyboard,0.8155339805825242,0.84,0.8275862068965517,100,0.84
+40,lamp,0.4268292682926829,0.7,0.5303030303030303,100,0.7
+41,lawn_mower,0.6761904761904762,0.71,0.6926829268292682,100,0.71
+42,leopard,0.6404494382022472,0.57,0.6031746031746031,100,0.57
+43,lion,0.6299212598425197,0.8,0.7048458149779736,100,0.8
+44,lizard,0.45714285714285713,0.32,0.3764705882352941,100,0.32
+45,lobster,0.3935483870967742,0.61,0.47843137254901963,100,0.61
+46,man,0.35260115606936415,0.61,0.4468864468864469,100,0.61
+47,maple_tree,0.34099616858237547,0.89,0.4930747922437673,100,0.89
+48,motorcycle,0.8476190476190476,0.89,0.8682926829268293,100,0.89
+49,mountain,0.8131868131868132,0.74,0.774869109947644,100,0.74
+50,mouse,0.5675675675675675,0.21,0.30656934306569344,100,0.21
+51,mushroom,0.2901023890784983,0.85,0.43256997455470736,100,0.85
+52,oak_tree,0.5,0.01,0.0196078431372549,100,0.01
+53,orange,0.689922480620155,0.89,0.777292576419214,100,0.89
+54,orchid,0.8571428571428571,0.48,0.6153846153846154,100,0.48
+55,otter,0.391304347826087,0.18,0.2465753424657534,100,0.18
+56,palm_tree,0.8863636363636364,0.78,0.8297872340425532,100,0.78
+57,pear,0.8082191780821918,0.59,0.6820809248554913,100,0.59
+58,pickup_truck,0.9102564102564102,0.71,0.797752808988764,100,0.71
+59,pine_tree,0.8260869565217391,0.19,0.3089430894308943,100,0.19
+60,plain,0.8352941176470589,0.71,0.7675675675675676,100,0.71
+61,plate,0.6428571428571429,0.63,0.6363636363636364,100,0.63
+62,poppy,0.6111111111111112,0.66,0.6346153846153846,100,0.66
+63,porcupine,0.6395348837209303,0.55,0.5913978494623656,100,0.55
+64,possum,0.7708333333333334,0.37,0.5,100,0.37
+65,rabbit,0.4152542372881356,0.49,0.44954128440366975,100,0.49
+66,raccoon,0.8405797101449275,0.58,0.6863905325443787,100,0.58
+67,ray,0.464,0.58,0.5155555555555555,100,0.58
+68,road,0.9325842696629213,0.83,0.8783068783068783,100,0.83
+69,rocket,0.75,0.66,0.7021276595744681,100,0.66
+70,rose,0.8181818181818182,0.45,0.5806451612903226,100,0.45
+71,sea,0.5164835164835165,0.94,0.6666666666666666,100,0.94
+72,seal,0.5217391304347826,0.12,0.1951219512195122,100,0.12
+73,shark,0.5089285714285714,0.57,0.5377358490566038,100,0.57
+74,shrew,0.8181818181818182,0.18,0.29508196721311475,100,0.18
+75,skunk,0.6,0.9,0.72,100,0.9
+76,skyscraper,0.6616541353383458,0.88,0.7553648068669528,100,0.88
+77,snail,0.8363636363636363,0.46,0.5935483870967742,100,0.46
+78,snake,0.48360655737704916,0.59,0.5315315315315315,100,0.59
+79,spider,0.8,0.56,0.6588235294117647,100,0.56
+80,squirrel,0.6071428571428571,0.51,0.5543478260869565,100,0.51
+81,streetcar,0.3991031390134529,0.89,0.5510835913312694,100,0.89
+82,sunflower,0.8602150537634409,0.8,0.8290155440414507,100,0.8
+83,sweet_pepper,0.703125,0.45,0.5487804878048781,100,0.45
+84,table,0.6436781609195402,0.56,0.5989304812834224,100,0.56
+85,tank,0.8356164383561644,0.61,0.7052023121387283,100,0.61
+86,telephone,0.7625,0.61,0.6777777777777778,100,0.61
+87,television,0.6788990825688074,0.74,0.7081339712918661,100,0.74
+88,tiger,0.8666666666666667,0.65,0.7428571428571429,100,0.65
+89,tractor,0.5562913907284768,0.84,0.6693227091633466,100,0.84
+90,train,0.5462962962962963,0.59,0.5673076923076923,100,0.59
+91,trout,0.8433734939759037,0.7,0.7650273224043715,100,0.7
+92,tulip,0.43506493506493504,0.67,0.5275590551181102,100,0.67
+93,turtle,0.3630573248407643,0.57,0.44357976653696496,100,0.57
+94,wardrobe,0.7054263565891473,0.91,0.7947598253275109,100,0.91
+95,whale,0.7010309278350515,0.68,0.6903553299492385,100,0.68
+96,willow_tree,0.7358490566037735,0.39,0.5098039215686274,100,0.39
+97,wolf,0.7040816326530612,0.69,0.696969696969697,100,0.69
+98,woman,0.4318181818181818,0.38,0.40425531914893614,100,0.38
+99,worm,0.49324324324324326,0.73,0.5887096774193549,100,0.73

runs/p1-vgg8-cifar100-base-s2/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75817811e8003e874cce070c36415c52123858b0c9a13f3a77099c5d7e990247
+size 626288

runs/p1-vgg8-cifar100-base-s3/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2efa8531d1526d6d7063364060b899e2a489d5b23d4b3228570eecddadbc8d0d
+size 626288

runs/p1-wrn_16_2-cifar100-base-s2/STATUS.json

@@ -3,8 +3,9 @@
   "account": "acct2",
   "session_id": "Interactive-dee96e10fe",
   "hostname": "847f16bb5dcf",
-  "updated_at": "2026-08-04T04:32:52Z",
-  "state": "completed",
-  "epoch": 239,
-  "best_metric": 0.7379
+  "updated_at": "2026-08-04T04:05:08Z",
+  "state": "running",
+  "epoch": 119,
+  "best_metric": 0.6003,
+  "elapsed_h": 0.49
 }

runs/p1-wrn_40_1-cifar100-base-s3/STATUS.json

@@ -3,8 +3,9 @@
   "account": "acct1",
   "session_id": "Interactive-2d1b33ff56",
   "hostname": "1ac90840ea33",
-  "updated_at": "2026-08-04T05:02:41Z",
-  "state": "completed",
-  "epoch": 239,
-  "best_metric": 0.7228
+  "updated_at": "2026-08-04T04:01:07Z",
+  "state": "running",
+  "epoch": 69,
+  "best_metric": 0.5616,
+  "elapsed_h": 0.43
 }

runs/p1-wrn_40_2-cifar100-base-s1/exit_heads.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:321f7707fc43e21a9a2a36cb653f86e64bd175e545898f1faa9fd859db9491cb
+size 186992