ImageNet-A.ipynb

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      "source": [
        "!wget https://people.eecs.berkeley.edu/~hendrycks/imagenet-a.tar\n",
        "!tar xvf imagenet-a.tar\n",
        "!wget https://raw.githubusercontent.com/hendrycks/natural-adv-examples/master/calibration_tools.py"
      ],
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            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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            "imagenet-a/n02268443/\n",
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            "imagenet-a/n02797295/\n",
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            "imagenet-a/n03720891/0.001087_go-kart _ go-kart_0.6433134.jpg\n",
            "imagenet-a/n01531178/\n",
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            "imagenet-a/n02165456/0.004163_corn _ corn_0.8722356.jpg\n",
            "imagenet-a/n03717622/0.000470_wheelbarrow _ wheelbarrow_0.99619234.jpg\n",
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            "imagenet-a/n01985128/0.003240_cockroach _ scorpion_0.78481454.jpg\n",
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            "imagenet-a/n02233338/0.007107_shovel _ shovel_0.5016998.jpg\n",
            "imagenet-a/n01735189/0.012264_chameleon _ chameleon_0.6156406.jpg\n",
            "imagenet-a/n02231487/0.011302_sandal _ mitten_0.9765694.jpg\n",
            "imagenet-a/n01910747/0.004756_stingray _ stingray_0.9223068.jpg\n",
            "imagenet-a/n01641577/0.006867_dragonfly _ dragonfly_0.977791.jpg\n",
            "imagenet-a/n02410509/0.066765_American black bear _ American black bear_0.9217936.jpg\n",
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            "imagenet-a/n03445924/0.001466_limousine _ limousine_0.78250194.jpg\n",
            "imagenet-a/n02268443/0.057123_American alligator _ American alligator_0.4283193.jpg\n",
            "imagenet-a/n02051845/0.048549_great egret _ great egret_0.98466325.jpg\n",
            "imagenet-a/n01986214/0.000825_tarantula _ tarantula_0.9921301.jpg\n",
            "imagenet-a/n02281787/0.000091_bow tie _ bow tie_0.726966.jpg\n",
            "imagenet-a/n02123394/0.003878_lynx _ lynx_0.9045575.jpg\n",
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            "imagenet-a/n02226429/0.000494_nail _ garter snake_0.83134633.jpg\n",
            "imagenet-a/n02133161/0.020404_fox squirrel _ fox squirrel_0.80872065.jpg\n",
            "imagenet-a/n02231487/0.000080_manhole cover _ manhole cover_0.7554716.jpg\n",
            "imagenet-a/n01631663/0.001910_toaster _ reel_0.5371804.jpg\n",
            "imagenet-a/n01531178/0.001357_American robin _ American robin_0.9955707.jpg\n",
            "imagenet-a/n01985128/0.001126_American bullfrog _ American bullfrog_0.7113644.jpg\n",
            "imagenet-a/n02206856/0.000010_sundial _ sundial_0.8477125.jpg\n",
            "imagenet-a/n02231487/0.011086_harvestman _ harvestman_0.52055407.jpg\n",
            "imagenet-a/n02129165/0.001507_tank _ tank_0.8748808.jpg\n",
            "imagenet-a/n01924916/0.000529_newt _ newt_0.94365185.jpg\n",
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            "imagenet-a/n04275548/0.000051_shovel _ shovel_0.9018235.jpg\n",
            "imagenet-a/n04442312/\n",
            "imagenet-a/n01924916/0.000071_racket _ racket_0.44895494.jpg\n",
            "imagenet-a/n03670208/\n",
            "imagenet-a/n01735189/0.000030_bow _ quill_0.5618652.jpg\n",
            "imagenet-a/n02280649/0.005740_armadillo _ armadillo_0.25809106.jpg\n",
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            "imagenet-a/n04147183/0.004686_shipwreck _ shipwreck_0.4829051.jpg\n",
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            "imagenet-a/n02317335/0.009221_candle _ candle_0.81572455.jpg\n",
            "imagenet-a/n09229709/0.000031_saxophone _ saxophone_0.9870697.jpg\n",
            "imagenet-a/n02137549/0.100859_red fox _ red fox_0.9570922.jpg\n",
            "imagenet-a/n02883205/0.008250_hair dryer _ syringe_0.857081.jpg\n",
            "imagenet-a/n02190166/0.000023_white-headed capuchin _ white-headed capuchin_0.5739771.jpg\n",
            "imagenet-a/n01855672/0.000262_hockey puck _ hockey puck_0.3066733.jpg\n",
            "imagenet-a/n04591713/0.008397_hair dryer _ couch_0.18320163.jpg\n",
            "imagenet-a/n02325366/0.020760_jeep _ jeep_0.9468398.jpg\n",
            "imagenet-a/n04019541/0.001211_basketball _ basketball_0.9331679.jpg\n",
            "imagenet-a/n01614925/0.001249_white-headed capuchin _ white-headed capuchin_0.9709056.jpg\n",
            "imagenet-a/n02281787/0.000006_beaker _ beaker_0.9034244.jpg\n",
            "imagenet-a/n01498041/0.016882_American bullfrog _ American bullfrog_0.9493031.jpg\n",
            "imagenet-a/n02797295/0.003278_billiard table _ billiard table_0.88086957.jpg\n",
            "imagenet-a/n02445715/0.001405_parking meter _ parking meter_0.6363987.jpg\n",
            "imagenet-a/n01770393/0.009490_weevil _ weevil_0.8660044.jpg\n",
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            "imagenet-a/n01986214/0.022671_crayfish _ crayfish_0.9758744.jpg\n",
            "imagenet-a/n02879718/0.001596_suspension bridge _ suspension bridge_0.36145955.jpg\n",
            "imagenet-a/n02085620/\n",
            "imagenet-a/n01770081/0.002023_armadillo _ manhole cover_0.77549905.jpg\n",
            "imagenet-a/n07768694/0.000022_carbonara _ carbonara_0.6506616.jpg\n",
            "imagenet-a/n02165456/0.001949_hermit crab _ scorpion_0.881401.jpg\n",
            "imagenet-a/n02280649/0.001437_envelope _ envelope_0.71417266.jpg\n",
            "imagenet-a/n02356798/0.000117_African bush elephant _ African bush elephant_0.9660778.jpg\n",
            "imagenet-a/n07734744/0.000098_syringe _ syringe_0.9694716.jpg\n",
            "imagenet-a/n02009912/0.000978_submarine _ submarine_0.9423689.jpg\n",
            "imagenet-a/n02356798/0.003136_Persian cat _ Persian cat_0.88616127.jpg\n",
            "imagenet-a/n02009912/0.000137_flagpole _ flagpole_0.46368343.jpg\n",
            "imagenet-a/n01735189/0.000192_chest _ chest_0.9989042.jpg\n",
            "imagenet-a/n02231487/\n",
            "imagenet-a/n01631663/0.003148_American bullfrog _ American bullfrog_0.91194844.jpg\n",
            "imagenet-a/n04317175/0.003477_Golden Retriever _ Golden Retriever_0.8510144.jpg\n",
            "imagenet-a/n03594945/0.002218_limousine _ limousine_0.9909741.jpg\n",
            "imagenet-a/n02730930/0.000822_pretzel _ pretzel_0.6476044.jpg\n",
            "imagenet-a/n01669191/0.014063_armadillo _ armadillo_0.9512877.jpg\n",
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            "imagenet-a/n02445715/0.017376_pug _ parking meter_0.4892912.jpg\n",
            "imagenet-a/n07749582/\n",
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            "imagenet-a/n04347754/0.000169_washing machine _ washing machine_0.9620058.jpg\n",
            "imagenet-a/n01914609/0.005537_hermit crab _ hermit crab_0.96806425.jpg\n",
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            "imagenet-a/n02895154/0.000786_accordion _ accordion_0.51054376.jpg\n",
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            "imagenet-a/n02317335/0.005192_stick insect _ box turtle_0.67150986.jpg\n",
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            "imagenet-a/n01687978/0.011841_broom _ doormat_0.3593651.jpg\n",
            "imagenet-a/n02106662/\n",
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            "imagenet-a/n07697313/\n",
            "imagenet-a/n03443371/0.000061_bubble _ bubble_0.9999893.jpg\n",
            "imagenet-a/n01616318/0.001936_hockey puck _ parking meter_0.6599746.jpg\n",
            "imagenet-a/n01833805/0.013248_toucan _ lorikeet_0.77773976.jpg\n",
            "imagenet-a/n02730930/0.000378_limousine _ unicycle_0.6161881.jpeg\n",
            "imagenet-a/n04019541/0.000469_tricycle _ tricycle_0.7598242.jpg\n",
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            "imagenet-a/n03935335/0.000030_stethoscope _ stethoscope_0.99747497.jpg\n",
            "imagenet-a/n02190166/0.004229_rotary dial telephone _ rotary dial telephone_0.7986273.jpg\n",
            "imagenet-a/n01669191/0.007653_red fox _ armadillo_0.4384385.jpg\n",
            "imagenet-a/n02236044/0.002446_stick insect _ stick insect_0.9985043.jpg\n",
            "imagenet-a/n02174001/0.041379_hermit crab _ hermit crab_0.8049773.jpg\n",
            "imagenet-a/n02009912/0.004037_schooner _ submarine_0.65792644.jpg\n",
            "imagenet-a/n03388043/0.000812_unicycle _ unicycle_0.9964765.jpg\n",
            "imagenet-a/n04033901/\n",
            "imagenet-a/n04532670/0.000670_spider web _ spider web_0.70711935.jpg\n",
            "imagenet-a/n12057211/0.005073_volcano _ volcano_0.79614764.jpg\n",
            "imagenet-a/n12057211/0.000201_rapeseed _ rapeseed_0.9972691.jpg\n",
            "imagenet-a/n02137549/0.006889_vulture _ vulture_0.38345042.jpg\n",
            "imagenet-a/n01914609/0.010771_volcano _ volcano_0.7897937.jpg\n",
            "imagenet-a/n02883205/0.003839_Chihuahua _ Chihuahua_0.99348867.jpg\n",
            "imagenet-a/n07697313/0.008445_hot dog _ hot dog_0.9962101.jpg\n",
            "imagenet-a/n01698640/0.010258_skunk _ skunk_0.9812416.jpg\n",
            "imagenet-a/n02190166/0.001758_pufferfish _ pufferfish_0.5307115.jpg\n",
            "imagenet-a/n07720875/0.001177_mask _ mask_0.9063027.jpg\n",
            "imagenet-a/n03125729/0.001424_feather boa _ feather boa_0.7595034.jpg\n",
            "imagenet-a/n01531178/0.000468_junco _ junco_0.9979982.jpg\n",
            "imagenet-a/n01641577/0.011534_skunk _ skunk_0.6256447.jpg\n",
            "imagenet-a/n01985128/0.004021_agama _ agama_0.96337277.jpg\n",
            "imagenet-a/n01910747/0.074155_mushroom _ mushroom_0.8542755.jpg\n",
            "imagenet-a/n01580077/0.008592_green iguana _ green iguana_0.5355334.jpg\n",
            "imagenet-a/n01641577/0.002091_American alligator _ American alligator_0.9880392.jpg\n",
            "imagenet-a/n02999410/0.000048_clothes iron _ clothes iron_0.5902961.jpg\n",
            "imagenet-a/n04509417/0.000805_parking meter _ parking meter_0.95415723.jpg\n",
            "imagenet-a/n02127052/0.001681_parking meter _ parking meter_0.5275351.jpg\n",
            "imagenet-a/n07749582/0.000528_corn _ corn_0.32125536.jpg\n",
            "imagenet-a/n01614925/0.001095_pelican _ pelican_0.70456105.jpg\n",
            "imagenet-a/n01631663/0.003768_bubble _ bubble_0.51536876.jpg\n",
            "imagenet-a/n04033901/0.010103_billiard table _ billiard table_0.90686566.jpg\n",
            "imagenet-a/n01534433/0.001866_wheelbarrow _ wheelbarrow_0.72974044.jpg\n",
            "imagenet-a/n02259212/0.000589_stingray _ stingray_0.5716593.jpg\n",
            "imagenet-a/n07720875/0.000032_chain _ chain_0.9937024.jpg\n",
            "imagenet-a/n02672831/0.000214_cello _ cello_0.99975425.jpg\n",
            "imagenet-a/n02009912/0.000494_shipwreck _ sea lion_0.77311814.jpg\n",
            "imagenet-a/n01914609/0.010126_volcano _ volcano_0.7564446.jpg\n",
            "imagenet-a/n02325366/0.002435_bow _ bow_0.67763996.jpg\n",
            "imagenet-a/n01784675/0.024703_stick insect _ stick insect_0.96722347.jpg\n",
            "imagenet-a/n02906734/0.003691_spatula _ spatula_0.6063825.jpg\n",
            "imagenet-a/n02281787/0.001079_broom _ broom_0.99548906.jpg\n",
            "imagenet-a/n02777292/0.002272_forklift _ forklift_0.7936614.jpg\n",
            "imagenet-a/n01580077/0.013317_racket _ racket_0.8780354.jpg\n",
            "imagenet-a/n03666591/0.001300_mask _ syringe_0.2499072.jpg\n",
            "imagenet-a/n02802426/0.000048_cello _ cello_0.29921687.jpg\n",
            "imagenet-a/n02281787/0.000973_harvestman _ harvestman_0.58324116.jpg\n",
            "imagenet-a/n02325366/0.014477_sundial _ sundial_0.76525915.jpg\n",
            "imagenet-a/n01735189/0.000011_sleeping bag _ sleeping bag_0.8492054.jpg\n",
            "imagenet-a/n02233338/0.018933_grasshopper _ grasshopper_0.8779267.jpg\n",
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            "imagenet-a/n01698640/\n",
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            "imagenet-a/n03384352/\n",
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            "imagenet-a/n01820546/\n",
            "imagenet-a/n01843383/0.015228_American robin _ American robin_0.80751806.jpg\n",
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            "imagenet-a/n03840681/\n",
            "imagenet-a/n01694178/0.001352_American alligator _ harvestman_0.710421.jpg\n",
            "imagenet-a/n04456115/0.004664_crayfish _ crayfish_0.20417923.jpg\n",
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            "imagenet-a/n02190166/0.000564_nail _ nail_0.6792989.jpg\n",
            "imagenet-a/n02127052/0.003962_armadillo _ armadillo_0.67157525.jpg\n",
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            "imagenet-a/n02190166/0.001298_racket _ racket_0.22943906.jpg\n",
            "imagenet-a/n01924916/0.000483_chameleon _ bell pepper_0.7142403.jpg\n",
            "imagenet-a/n02879718/0.005687_bikini _ bikini_0.7719043.jpg\n",
            "imagenet-a/n03452741/0.005889_saxophone _ saxophone_0.6241929.jpg\n",
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            "imagenet-a/n01910747/0.039557_box turtle _ box turtle_0.6229454.jpg\n",
            "imagenet-a/n03355925/0.005213_golf cart _ pufferfish_0.26316854.jpg\n",
            "imagenet-a/n01735189/0.016498_centipede _ centipede_0.9666657.jpg\n",
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            "imagenet-a/n04275548/0.000131_bubble _ bubble_0.9997998.jpg\n",
            "imagenet-a/n01910747/0.005504_hermit crab _ scorpion_0.44447845.jpg\n",
            "imagenet-a/n01677366/0.032528_bell pepper _ corn_0.8131294.jpg\n",
            "imagenet-a/n07734744/0.000052_chain _ chain_0.960581.jpg\n",
            "imagenet-a/n02137549/0.004526_stick insect _ stick insect_0.57385063.jpg\n",
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            "imagenet-a/n04591713/\n",
            "imagenet-a/n02137549/0.044198_fox squirrel _ fox squirrel_0.6756833.jpg\n",
            "imagenet-a/n01833805/0.017166_stick insect _ stick insect_0.93248606.jpg\n",
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            "imagenet-a/n02777292/0.012690_wheelbarrow _ wheelbarrow_0.4076565.jpg\n",
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            "imagenet-a/n02123394/0.012947_Chihuahua _ Chihuahua_0.42698297.jpg\n",
            "imagenet-a/n12267677/0.000209_stick insect _ stick insect_0.4180847.jpg\n",
            "imagenet-a/n02219486/0.000065_chameleon _ custard apple_0.8238975.jpg\n",
            "imagenet-a/n02190166/0.008577_nail _ nail_0.4736734.jpg\n",
            "imagenet-a/n01770081/0.005931_mongoose _ mongoose_0.48280257.jpg\n",
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            "imagenet-a/n01531178/0.000038_flagpole _ flagpole_0.99039465.jpg\n",
            "imagenet-a/n02009912/0.000955_rapeseed _ rapeseed_0.98874867.jpg\n",
            "imagenet-a/n02268443/0.000482_syringe _ syringe_0.99999356.jpg\n",
            "imagenet-a/n02129165/0.076592_American black bear _ American black bear_0.5234502.jpg\n",
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            "imagenet-a/n01498041/0.015128_starfish _ volcano_0.91624254.jpg\n",
            "imagenet-a/n01669191/0.018010_hermit crab _ hermit crab_0.97891676.jpg\n",
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            "imagenet-a/n03724870/0.000004_pretzel _ pretzel_0.9993305.jpg\n",
            "imagenet-a/n02268443/0.003107_white-headed capuchin _ white-headed capuchin_0.6098663.jpg\n",
            "imagenet-a/n01820546/0.001492_airliner _ oystercatcher_0.97461104.jpg\n",
            "imagenet-a/n01847000/0.000983_bow _ bow_0.83822846.jpg\n",
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            "imagenet-a/n04344873/0.001662_drumstick _ drumstick_0.10889472.jpg\n",
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            "imagenet-a/n02174001/0.082063_weevil _ weevil_0.40964037.jpg\n",
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            "imagenet-a/n07718472/0.001330_spatula _ spatula_0.5388231.jpg\n",
            "imagenet-a/n07734744/0.000100_American bullfrog _ grasshopper_0.851891.jpg\n",
            "imagenet-a/n01531178/0.002124_stick insect _ stick insect_0.8217835.jpg\n",
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            "imagenet-a/n02206856/0.000006_drumstick _ drumstick_0.9549891.jpg\n",
            "imagenet-a/n02165456/0.000198_digital clock _ digital clock_0.7205174.jpg\n",
            "imagenet-a/n02007558/0.005121_great egret _ great egret_0.94183534.jpg\n",
            "imagenet-a/n04146614/0.008628_limousine _ limousine_0.9559494.jpg\n",
            "imagenet-a/n02346627/0.003468_American black bear _ bison_0.9209428.jpg\n",
            "imagenet-a/n01558993/0.002059_junco _ junco_0.58607924.jpg\n",
            "imagenet-a/n09229709/0.000194_beaker _ beaker_0.98104423.jpg\n",
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            "imagenet-a/n02190166/0.001239_jellyfish _ sleeping bag_0.55154985.jpg\n",
            "imagenet-a/n02356798/0.001628_American black bear _ American black bear_0.5979913.jpg\n",
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            "imagenet-a/n04118538/0.000339_bikini _ bikini_0.8296424.jpg\n",
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            "imagenet-a/n01534433/0.001163_cottontail rabbit _ cottontail rabbit_0.8389947.jpg\n",
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            "imagenet-a/n03223299/\n",
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            "imagenet-a/n04376876/\n",
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            "imagenet-a/n02999410/\n",
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            "imagenet-a/n02879718/\n",
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            "imagenet-a/n02233338/0.006509_skunk _ skunk_0.367026.jpg\n",
            "imagenet-a/n09246464/\n",
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            "imagenet-a/n04252077/\n",
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            "imagenet-a/n02356798/0.002678_American alligator _ American alligator_0.7309057.jpg\n",
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            "imagenet-a/n03255030/\n",
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            "imagenet-a/n02051845/0.012761_sea lion _ sea lion_0.821333.jpg\n",
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            "imagenet-a/n02009912/0.000420_tank _ tank_0.35322863.jpg\n",
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            "imagenet-a/n03355925/0.005376_castle _ castle_0.9247971.jpg\n",
            "imagenet-a/n03717622/0.002736_fountain _ fountain_0.69380105.jpg\n",
            "imagenet-a/n04131690/\n",
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            "imagenet-a/n01985128/0.007291_scorpion _ scorpion_0.8265551.jpg\n",
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            "imagenet-a/n04310018/0.000038_viaduct _ viaduct_0.985496.jpg\n",
            "imagenet-a/n02137549/0.003464_oystercatcher _ oystercatcher_0.48750854.jpg\n",
            "imagenet-a/n02317335/0.009276_chain _ American bullfrog_0.7590096.jpg\n",
            "imagenet-a/n01558993/0.001700_grand piano _ grand piano_0.5822162.jpg\n",
            "imagenet-a/n01531178/0.003169_hummingbird _ hummingbird_0.91792697.jpg\n",
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            "imagenet-a/n01770393/0.008073_pufferfish _ ant_0.6891937.jpg\n",
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            "imagenet-a/n01843383/0.015436_jay _ jay_0.62880397.jpg\n",
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            "imagenet-a/n02268443/0.000584_stick insect _ stick insect_0.99756.jpg\n",
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            "imagenet-a/n02356798/0.000100_lighthouse _ lighthouse_0.64722914.jpg\n",
            "imagenet-a/n02346627/0.037764_American black bear _ American black bear_0.87571025.jpg\n",
            "imagenet-a/n01534433/0.002229_box turtle _ box turtle_0.45994538.jpg\n",
            "imagenet-a/n04509417/0.001534_balance beam _ balance beam_0.9777895.jpg\n",
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            "imagenet-a/n01694178/0.025786_crayfish _ crayfish_0.5350884.jpg\n",
            "imagenet-a/n01531178/0.001382_American robin _ American robin_0.99953544.jpg\n",
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            "imagenet-a/n04347754/0.000031_ambulance _ ambulance_0.3229263.jpg\n",
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            "imagenet-a/n01770393/0.003893_beaker _ beaker_0.9633157.jpg\n",
            "imagenet-a/n03775071/0.000145_Christmas stocking _ Christmas stocking_0.9986047.jpg\n",
            "imagenet-a/n04141076/\n",
            "imagenet-a/n01820546/0.008817_toucan _ toucan_0.99967813.jpg\n",
            "imagenet-a/n02226429/0.001095_bow _ bow_0.6116934.jpg\n",
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            "imagenet-a/n03483316/0.002987_guacamole _ guacamole_0.6268622.jpg\n",
            "imagenet-a/n01616318/0.000225_American black bear _ American black bear_0.9898281.jpg\n",
            "imagenet-a/n01687978/0.008022_weevil _ ant_0.30766627.jpg\n",
            "imagenet-a/n04033901/0.001748_billiard table _ billiard table_0.7403264.jpg\n",
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            "imagenet-a/n04507155/0.007738_fountain _ fountain_0.40923792.jpg\n",
            "imagenet-a/n09229709/\n",
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            "imagenet-a/n01558993/0.002294_koala _ koala_0.5474539.jpg\n",
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            "imagenet-a/n01580077/0.005891_bald eagle _ vulture_0.4958554.jpg\n",
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            "imagenet-a/n02219486/0.000523_wheelbarrow _ washing machine_0.34759158.jpg\n",
            "imagenet-a/n02051845/0.005645_box turtle _ volcano_0.7011412.jpg\n",
            "imagenet-a/n01694178/0.008305_cliff _ cliff_0.8434566.jpg\n",
            "imagenet-a/n04399382/0.000330_cowboy boot _ cowboy boot_0.5037615.jpg\n",
            "imagenet-a/n01770081/0.001032_doormat _ doormat_0.6741058.jpg\n",
            "imagenet-a/n01698640/0.004397_viaduct _ viaduct_0.90164524.jpg\n",
            "imagenet-a/n02883205/0.003685_Golden Retriever _ Golden Retriever_0.1488763.jpg\n",
            "imagenet-a/n04118538/0.007383_volleyball _ volleyball_0.9062253.jpg\n",
            "imagenet-a/n02007558/0.000206_canoe _ canoe_0.9999814.jpg\n",
            "imagenet-a/n02280649/0.006631_cowboy boot _ cowboy boot_0.41380128.jpg\n",
            "imagenet-a/n07734744/0.004632_pomegranate _ pomegranate_0.8891429.jpg\n",
            "imagenet-a/n07734744/0.018872_American black bear _ American black bear_0.89867896.jpg\n",
            "imagenet-a/n01687978/0.000753_green iguana _ green iguana_0.7597497.jpg\n",
            "imagenet-a/n01924916/0.000310_newt _ hermit crab_0.4274667.jpg\n",
            "imagenet-a/n02356798/0.001670_cottontail rabbit _ cottontail rabbit_0.919432.jpg\n",
            "imagenet-a/n01784675/0.049635_cockroach _ cockroach_0.46651185.jpg\n",
            "imagenet-a/n04133789/\n",
            "imagenet-a/n02259212/0.003435_bee _ rapeseed_0.76356435.jpg\n",
            "imagenet-a/n01770081/0.001821_umbrella _ umbrella_0.69940954.jpg\n",
            "imagenet-a/n02279972/0.001474_spider web _ American black bear_0.49916863.jpg\n",
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            "imagenet-a/n02051845/0.051447_flagpole _ flagpole_0.89277315.jpg\n",
            "imagenet-a/n01616318/0.002855_junco _ junco_0.82904476.jpg\n",
            "imagenet-a/n01820546/0.013747_bow _ reel_0.67707646.jpg\n",
            "imagenet-a/n01498041/0.005627_oystercatcher _ oystercatcher_0.76587486.jpg\n",
            "imagenet-a/n02009912/\n",
            "imagenet-a/n02672831/0.016792_breastplate _ breastplate_0.8836041.jpg\n",
            "imagenet-a/n01855672/0.007924_lighthouse _ submarine_0.92780554.jpg\n",
            "imagenet-a/n01558993/0.004848_sundial _ sundial_0.61495197.jpg\n",
            "imagenet-a/n01558993/0.000212_manhole cover _ manhole cover_0.35745883.jpg\n",
            "imagenet-a/n02883205/0.000233_banjo _ banjo_0.8765456.jpg\n",
            "imagenet-a/n01847000/0.004208_racket _ sundial_0.5186403.jpg\n",
            "imagenet-a/n02992211/0.000377_chain _ chain_0.86248547.jpg\n",
            "imagenet-a/n04347754/0.000199_jeep _ jeep_0.836075.jpg\n",
            "imagenet-a/n02190166/0.000001_chain _ chain_0.9832024.jpg\n",
            "imagenet-a/n01735189/0.003845_unicycle _ unicycle_0.5543532.jpg\n",
            "imagenet-a/n01820546/0.000037_flagpole _ flagpole_0.7662335.jpg\n",
            "imagenet-a/n02655020/0.006819_snail _ hermit crab_0.8018461.jpg\n",
            "imagenet-a/n04133789/0.006821_accordion _ accordion_0.48491883.jpg\n",
            "imagenet-a/n01687978/0.000198_broom _ broom_0.95707494.jpg\n",
            "imagenet-a/n01820546/0.003016_doormat _ doormat_0.23436327.jpg\n",
            "imagenet-a/n03196217/0.002654_sandal _ sandal_0.9405512.jpg\n",
            "imagenet-a/n02280649/0.001617_beaker _ beaker_0.8372905.jpg\n",
            "imagenet-a/n02268443/0.017241_stick insect _ stick insect_0.94647247.jpg\n",
            "imagenet-a/n02226429/0.000031_small white _ small white_0.85344774.jpg\n",
            "imagenet-a/n02231487/0.000256_marimba _ marimba_0.9962386.jpg\n",
            "imagenet-a/n04118538/0.007723_canoe _ canoe_0.54196155.jpg\n",
            "imagenet-a/n03187595/0.003475_bow tie _ bow tie_0.9123198.jpg\n",
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            "imagenet-a/n01944390/\n",
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            "imagenet-a/n04389033/\n",
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            "imagenet-a/n01820546/0.000177_American robin _ American robin_0.96883404.jpg\n",
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            "imagenet-a/\n",
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            "imagenet-a/n07718472/0.004719_cheeseburger _ cheeseburger_0.9945702.jpg\n",
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            "imagenet-a/n04254120/\n",
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            "imagenet-a/n01914609/0.004399_jellyfish _ jellyfish_0.96771115.jpg\n",
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            "imagenet-a/n04532670/0.004720_lighthouse _ lighthouse_0.76071894.jpg\n",
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            "imagenet-a/n01910747/0.000602_nail _ nail_0.7360357.jpg\n",
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            "imagenet-a/n02346627/0.061465_American black bear _ American black bear_0.7979134.jpg\n",
            "imagenet-a/n01820546/0.004646_hummingbird _ hummingbird_0.7773168.jpg\n",
            "imagenet-a/n01641577/0.042695_hermit crab _ hermit crab_0.6065801.jpg\n",
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            "imagenet-a/n03617480/0.004919_maraca _ maraca_0.82438284.jpg\n",
            "imagenet-a/n03590841/\n",
            "imagenet-a/n02280649/0.000004_toaster _ cowboy boot_0.54292923.jpg\n",
            "imagenet-a/n02110958/0.000740_ambulance _ ambulance_0.60988176.jpg\n",
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            "imagenet-a/n03935335/\n",
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            "imagenet-a/n01614925/\n",
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            "imagenet-a/n03837869/0.004039_suspension bridge _ suspension bridge_0.57767385.jpg\n",
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            "imagenet-a/n02206856/0.000287_beaker _ beaker_0.9693477.jpg\n",
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            "imagenet-a/n07695742/0.000160_hot dog _ hot dog_0.99960953.jpg\n",
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            "imagenet-a/n02980441/\n",
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            "imagenet-a/n02325366/\n",
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            "imagenet-a/n01498041/0.010555_reel _ crayfish_0.69367814.jpg\n",
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            "imagenet-a/n02504458/0.004548_armadillo _ shipwreck_0.56379485.jpg\n",
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            "imagenet-a/n04554684/0.001170_go-kart _ go-kart_0.6404907.jpg\n",
            "imagenet-a/n01641577/0.003089_scorpion _ scorpion_0.57634205.jpg\n",
            "imagenet-a/n01855672/0.002527_oystercatcher _ oystercatcher_0.6441096.jpg\n",
            "imagenet-a/n02226429/0.001916_hermit crab _ hermit crab_0.2265092.jpg\n",
            "imagenet-a/n01531178/0.003955_fox squirrel _ bald eagle_0.5266343.jpg\n",
            "imagenet-a/n04366367/0.001825_sundial _ sundial_0.5482512.jpg\n",
            "imagenet-a/n04562935/0.000280_castle _ castle_0.9680168.jpg\n",
            "imagenet-a/n02077923/0.018497_marmot _ marmot_0.6939018.jpg\n",
            "imagenet-a/n02280649/0.013501_canoe _ sandal_0.2815767.jpg\n",
            "imagenet-a/n02009912/0.004791_sulphur-crested cockatoo _ sulphur-crested cockatoo_0.9260047.jpg\n",
            "imagenet-a/n02268443/0.000276_mushroom _ mushroom_0.97887254.jpg\n",
            "imagenet-a/n02356798/0.000297_porcupine _ porcupine_0.99892694.jpg\n",
            "imagenet-a/n01784675/\n",
            "imagenet-a/n02127052/0.000304_baboon _ baboon_0.97132695.jpg\n",
            "imagenet-a/n01770081/0.001890_nail _ wheelbarrow_0.48011014.jpg\n",
            "imagenet-a/n02190166/0.009209_tarantula _ tarantula_0.6948907.jpg\n",
            "imagenet-a/n02676566/0.000225_drumstick _ drumstick_0.8786231.jpg\n",
            "imagenet-a/n02410509/0.009415_marmot _ marmot_0.8714136.jpg\n",
            "imagenet-a/n03452741/0.000035_syringe _ syringe_0.45661667.jpg\n",
            "imagenet-a/n02099601/0.000221_school bus _ school bus_0.9981856.jpg\n",
            "imagenet-a/n02206856/0.000053_limousine _ limousine_0.8860761.jpg\n",
            "imagenet-a/n02802426/0.006587_unicycle _ unicycle_0.74739665.jpg\n",
            "imagenet-a/n07718472/0.000938_beaker _ beaker_0.7784879.jpg\n",
            "imagenet-a/n01910747/0.006213_pufferfish _ pufferfish_0.8244631.jpg\n",
            "imagenet-a/n03594945/0.006794_limousine _ limousine_0.99518365.jpg\n",
            "imagenet-a/n02009912/0.001488_American black bear _ American black bear_0.30458358.jpg\n",
            "imagenet-a/n02119022/0.095795_fox squirrel _ fox squirrel_0.86569834.jpg\n",
            "imagenet-a/n07760859/\n",
            "imagenet-a/n01847000/0.012964_bow _ billiard table_0.33656487.jpg\n",
            "imagenet-a/n02226429/0.000987_newt _ newt_0.8273781.jpg\n",
            "imagenet-a/n01558993/0.000740_shipwreck _ shipwreck_0.8810358.jpg\n",
            "imagenet-a/n01924916/0.000647_tricycle _ tricycle_0.7025673.jpg\n",
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            "imagenet-a/n01914609/0.010072_feather boa _ feather boa_0.9192157.jpg\n",
            "imagenet-a/n07768694/0.001727_candle _ candle_0.9472607.jpg\n",
            "imagenet-a/n02356798/0.000626_chameleon _ chameleon_0.95277655.jpg\n",
            "imagenet-a/n02356798/0.000131_white-headed capuchin _ white-headed capuchin_0.9992274.jpg\n",
            "imagenet-a/n01924916/0.000577_garter snake _ garter snake_0.9472813.jpg\n",
            "imagenet-a/n01694178/0.068988_weevil _ weevil_0.59847325.jpg\n",
            "imagenet-a/n01580077/0.004165_toucan _ toucan_0.7121609.jpg\n",
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            "imagenet-a/n02123394/0.004328_lynx _ lynx_0.9522636.jpg\n",
            "imagenet-a/n02236044/0.003618_starfish _ starfish_0.6868008.jpg\n",
            "imagenet-a/n01534433/0.002387_organ _ mantis_0.1686385.jpg\n",
            "imagenet-a/n02137549/0.008720_American black bear _ American black bear_0.8834192.jpg\n",
            "imagenet-a/n02361337/0.000861_rocking chair _ rocking chair_0.56498605.jpg\n",
            "imagenet-a/n02325366/0.000247_doormat _ doormat_0.85369694.jpg\n",
            "imagenet-a/n04389033/0.000353_parachute _ parachute_0.9584183.jpg\n",
            "imagenet-a/n01847000/0.001790_Rottweiler _ Rottweiler_0.63478196.jpg\n",
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            "imagenet-a/n04591713/0.007779_maraca _ maraca_0.99105257.jpg\n",
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            "imagenet-a/n04347754/0.001278_ambulance _ ambulance_0.9772676.jpg\n",
            "imagenet-a/n01669191/0.007936_American alligator _ American alligator_0.89128655.jpg\n",
            "imagenet-a/n02165456/0.000041_mushroom _ mushroom_0.9046747.jpg\n",
            "imagenet-a/n03775071/0.000010_cradle _ cradle_0.98119074.jpg\n",
            "imagenet-a/n01944390/0.001494_junco _ hummingbird_0.5025591.jpg\n",
            "imagenet-a/n02317335/0.031593_American bullfrog _ American bullfrog_0.9700209.jpg\n",
            "imagenet-a/n03670208/0.006405_flagpole _ flagpole_0.23970705.jpg\n",
            "imagenet-a/n01910747/0.001530_scorpion _ centipede_0.49828175.jpg\n",
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            "imagenet-a/n07753592/\n",
            "imagenet-a/n02280649/0.035942_stingray _ jellyfish_0.556321.jpg\n",
            "imagenet-a/n04532670/0.004854_shipwreck _ shipwreck_0.68800515.jpg\n",
            "imagenet-a/n01558993/0.000522_bow _ bow_0.9033333.jpg\n",
            "imagenet-a/n02951358/\n",
            "imagenet-a/n01882714/0.018560_German Shepherd Dog _ German Shepherd Dog_0.6040723.jpg\n",
            "imagenet-a/n01694178/0.033669_mantis _ mantis_0.621387.jpg\n",
            "imagenet-a/n01914609/0.006625_jellyfish _ jellyfish_0.9956241.jpg\n",
            "imagenet-a/n07718472/0.000552_goblet _ goblet_0.93129337.jpg\n",
            "imagenet-a/n02777292/\n",
            "imagenet-a/n01631663/0.000356_American alligator _ American alligator_0.99064213.jpg\n",
            "imagenet-a/n04399382/0.000581_syringe _ syringe_0.99049765.jpg\n",
            "imagenet-a/n02127052/0.005510_mongoose _ mongoose_0.8551557.jpg\n",
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            "imagenet-a/n02219486/0.000127_starfish _ corn_0.9805628.jpg\n",
            "imagenet-a/n02676566/0.004629_banjo _ banjo_0.99449414.jpg\n",
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            "imagenet-a/n01914609/0.006283_syringe _ tarantula_0.89319015.jpg\n",
            "imagenet-a/n01531178/0.000555_sea lion _ sea lion_0.45961636.jpg\n",
            "imagenet-a/n02236044/0.006896_stick insect _ stick insect_0.9999193.jpg\n",
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            "imagenet-a/n04399382/0.000373_limousine _ limousine_0.43377867.jpg\n",
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            "imagenet-a/n01616318/0.005603_rocking chair _ rocking chair_0.3323156.jpg\n",
            "imagenet-a/n02317335/\n",
            "imagenet-a/n03804744/\n",
            "imagenet-a/n02106550/0.031806_Chihuahua _ Chihuahua_0.79242444.jpg\n",
            "imagenet-a/n02137549/0.004400_cottontail rabbit _ cottontail rabbit_0.98840535.jpg\n",
            "imagenet-a/n03666591/0.000924_ocarina _ ocarina_0.78127855.jpg\n",
            "imagenet-a/n01910747/0.002830_bikini _ bikini_0.8433242.JPEG\n",
            "imagenet-a/n02206856/0.000063_bow tie _ bow tie_0.8158892.jpg\n",
            "imagenet-a/n04591713/0.000983_goblet _ chain_0.49022016.jpg\n",
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            "imagenet-a/n03724870/0.000336_sleeping bag _ sandal_0.6060917.jpg\n",
            "imagenet-a/n03840681/0.000943_mask _ spatula_0.36815023.jpg\n",
            "imagenet-a/n07720875/0.002964_pomegranate _ pomegranate_0.47647396.jpg\n",
            "imagenet-a/n04131690/0.000220_chain _ chain_0.51844877.jpg\n",
            "imagenet-a/n02110958/0.000283_Chihuahua _ Chihuahua_0.98853856.jpg\n",
            "imagenet-a/n01985128/0.002723_tarantula _ tarantula_0.9967123.jpg\n",
            "imagenet-a/n07734744/0.001121_marimba _ marimba_0.63139063.jpg\n",
            "imagenet-a/n03724870/0.000488_hot dog _ pretzel_0.6061869.jpg\n",
            "imagenet-a/n04507155/0.002069_sulphur-crested cockatoo _ sulphur-crested cockatoo_0.50469065.jpg\n",
            "imagenet-a/n01677366/0.004613_red fox _ baboon_0.78106254.jpg\n",
            "imagenet-a/n04507155/0.001804_flagpole _ flagpole_0.39285266.jpg\n",
            "imagenet-a/n01833805/0.003377_stethoscope _ stethoscope_0.64797455.jpg\n",
            "imagenet-a/n04366367/0.002021_parachute _ parachute_0.9226023.jpg\n",
            "imagenet-a/n02007558/0.007068_oystercatcher _ submarine_0.8004457.jpg\n",
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            "imagenet-a/n02231487/0.013233_rocking chair _ rocking chair_0.7547668.jpg\n",
            "imagenet-a/n01687978/0.006570_ant _ kimono_0.66754353.jpg\n",
            "imagenet-a/n01833805/0.005779_canoe _ canoe_0.5328438.jpg\n",
            "imagenet-a/n02280649/0.009029_box turtle _ box turtle_0.7706072.jpg\n",
            "imagenet-a/n03854065/\n",
            "imagenet-a/n01641577/0.010104_parachute _ parachute_0.53690946.jpg\n",
            "imagenet-a/n03721384/0.003241_accordion _ accordion_0.5107704.jpg\n",
            "imagenet-a/n01985128/0.005335_cockroach _ cockroach_0.9971699.jpg\n",
            "imagenet-a/n04344873/0.004502_breastplate _ sleeping bag_0.5752009.jpg\n",
            "imagenet-a/n04399382/0.001974_tank _ tank_0.8491391.jpg\n",
            "imagenet-a/n04562935/0.000683_castle _ castle_0.62518466.jpg\n",
            "imagenet-a/n01698640/0.000146_lighthouse _ lighthouse_0.8453865.jpg\n",
            "imagenet-a/n01669191/0.002078_baboon _ unicycle_0.7228384.jpg\n",
            "imagenet-a/n02106550/0.000190_bow _ bow_0.86476517.jpg\n",
            "imagenet-a/n02672831/\n",
            "imagenet-a/n02190166/0.000204_tarantula _ tarantula_0.78820205.jpg\n",
            "imagenet-a/n01616318/0.002994_bald eagle _ bald eagle_0.99962246.jpg\n",
            "imagenet-a/n02129165/0.001586_African bush elephant _ African bush elephant_0.99681455.jpg\n",
            "imagenet-a/n02259212/0.001931_nail _ nail_0.9226233.jpg\n",
            "imagenet-a/n02236044/0.000528_shipwreck _ shipwreck_0.40694442.jpg\n",
            "imagenet-a/n01694178/0.001447_grasshopper _ scorpion_0.8582352.jpg\n",
            "imagenet-a/n01924916/0.000080_goblet _ goblet_0.6318647.jpg\n",
            "imagenet-a/n07734744/0.000000_cockroach _ cockroach_0.9996309.jpg\n",
            "imagenet-a/n02782093/0.000082_stethoscope _ stethoscope_0.7098313.jpg\n",
            "imagenet-a/n02268443/0.002860_mongoose _ mongoose_0.5205342.jpg\n",
            "imagenet-a/n02281787/0.001962_umbrella _ umbrella_0.9964629.jpg\n",
            "imagenet-a/n01833805/0.012578_junco _ junco_0.9974782.jpg\n",
            "imagenet-a/n07734744/0.000214_toucan _ toucan_0.9569637.jpg\n",
            "imagenet-a/n03982430/0.005782_wheelbarrow _ wheelbarrow_0.13102745.jpg\n",
            "imagenet-a/n01641577/0.002340_crayfish _ crayfish_0.76815903.jpg\n",
            "imagenet-a/n02226429/0.003286_banana _ banana_0.42406338.jpg\n",
            "imagenet-a/n01616318/0.000725_sea lion _ sea lion_0.7477569.jpg\n",
            "imagenet-a/n04270147/0.000148_quill _ quill_0.95334613.jpg\n",
            "imagenet-a/n02190166/0.000503_toucan _ toucan_0.5057625.jpg\n",
            "imagenet-a/n02999410/0.006122_starfish _ starfish_0.9785242.jpg\n",
            "imagenet-a/n01770393/0.002160_drumstick _ drumstick_0.6241715.jpg\n",
            "imagenet-a/n03775071/0.000197_sleeping bag _ sleeping bag_0.7565986.jpg\n",
            "imagenet-a/n02226429/0.000067_white-headed capuchin _ white-headed capuchin_0.7011014.jpg\n",
            "imagenet-a/n02165456/0.000477_bow _ bow_0.91434133.jpg\n",
            "imagenet-a/n03124043/0.000018_bison _ parachute_0.7020429.jpg\n",
            "imagenet-a/n02137549/0.000046_cliff _ American alligator_0.80902416.jpg\n",
            "imagenet-a/n02190166/0.000048_sundial _ sundial_0.6911737.jpg\n",
            "imagenet-a/n02051845/0.009793_submarine _ submarine_0.7957302.jpg\n",
            "imagenet-a/n01531178/0.000876_chain _ tricycle_0.842419.jpg\n",
            "imagenet-a/n01843383/0.070147_hummingbird _ custard apple_0.589765.jpg\n",
            "imagenet-a/n03666591/0.001873_balance beam _ balance beam_0.43527684.jpg\n",
            "imagenet-a/n04146614/0.000029_unicycle _ unicycle_0.97207344.jpg\n",
            "imagenet-a/n02190166/0.001015_balance beam _ balance beam_0.42315155.jpg\n",
            "imagenet-a/n01770081/0.000016_soap dispenser _ soap dispenser_0.6874527.jpg\n",
            "imagenet-a/n01770081/0.000640_fox squirrel _ fox squirrel_0.9380582.jpg\n",
            "imagenet-a/n02174001/0.002933_cockroach _ cockroach_0.9994072.jpg\n",
            "imagenet-a/n02219486/0.000058_wheelbarrow _ wheelbarrow_0.9994875.jpg\n",
            "imagenet-a/n04507155/0.000024_obelisk _ obelisk_0.9978824.jpg\n",
            "imagenet-a/n01855672/0.004408_white-headed capuchin _ white-headed capuchin_0.97947925.jpg\n",
            "imagenet-a/n03445924/0.004358_mask _ mask_0.6555809.jpg\n",
            "imagenet-a/n04254120/0.000198_envelope _ envelope_0.79948467.jpg\n",
            "imagenet-a/n03590841/0.000173_snowmobile _ snowmobile_0.93523467.jpg\n",
            "imagenet-a/n02281787/0.004842_ladybug _ pretzel_0.32841647.jpg\n",
            "imagenet-a/n02802426/0.001219_fountain _ fountain_0.5116268.jpg\n",
            "imagenet-a/n01770393/0.009631_bell pepper _ bell pepper_0.62884533.jpg\n",
            "imagenet-a/n03445924/0.000263_German Shepherd Dog _ German Shepherd Dog_0.645461.jpg\n",
            "imagenet-a/n02037110/0.001009_sea lion _ sea lion_0.5213877.jpg\n",
            "imagenet-a/n02948072/0.002054_forklift _ forklift_0.2799696.jpg\n",
            "imagenet-a/n04275548/0.000001_bubble _ bubble_0.9998696.jpg\n",
            "imagenet-a/n01819313/0.005540_great egret _ great egret_0.7512564.jpg\n",
            "imagenet-a/n02951358/0.001659_snowmobile _ snowmobile_0.97036767.jpg\n",
            "imagenet-a/n01833805/0.003908_stingray _ stingray_0.83733624.jpg\n",
            "imagenet-a/n02206856/0.000388_parking meter _ parking meter_0.84873766.jpg\n",
            "imagenet-a/n02077923/0.007652_mongoose _ mongoose_0.9384235.jpg\n",
            "imagenet-a/n02280649/0.001599_custard apple _ leafhopper_0.9128452.jpg\n",
            "imagenet-a/n01558993/0.007914_grasshopper _ cockroach_0.39569256.jpg\n",
            "imagenet-a/n04562935/0.001333_castle _ castle_0.95273805.jpg\n",
            "imagenet-a/n09229709/0.001201_cradle _ cradle_0.9241295.jpg\n",
            "imagenet-a/n04399382/0.000002_balloon _ balloon_0.98676014.jpg\n",
            "imagenet-a/n02948072/0.002493_shovel _ nail_0.9551051.jpg\n",
            "imagenet-a/n02999410/0.000572_mosque _ mosque_0.43456495.jpg\n",
            "imagenet-a/n03594945/0.006381_limousine _ limousine_0.98460835.jpg\n",
            "imagenet-a/n01770393/0.039582_stick insect _ stick insect_0.9853592.jpg\n",
            "imagenet-a/n02190166/0.002683_armadillo _ kimono_0.6227746.jpg\n",
            "imagenet-a/n01924916/0.000254_stick insect _ stick insect_0.8584848.jpg\n",
            "--2020-10-06 12:37:26--  https://raw.githubusercontent.com/hendrycks/natural-adv-examples/master/calibration_tools.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 4281 (4.2K) [text/plain]\n",
            "Saving to: ‘calibration_tools.py’\n",
            "\n",
            "calibration_tools.p 100%[===================>]   4.18K  --.-KB/s    in 0s      \n",
            "\n",
            "2020-10-06 12:37:26 (50.7 MB/s) - ‘calibration_tools.py’ saved [4281/4281]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G-jew5N8HhpZ"
      },
      "source": [
        "import torch\n",
        "import torchvision\n",
        "from torchvision import transforms\n",
        "from torch.utils.data import DataLoader\n",
        "import torch.nn.functional as F\n",
        "import numpy as np\n",
        "from calibration_tools import *"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iFAUw9r2Hhpg"
      },
      "source": [
        "normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],\n",
        "                                 std=[0.229, 0.224, 0.225])\n",
        "\n",
        "test_transform = transforms.Compose([\n",
        "    transforms.Resize(256),\n",
        "    transforms.CenterCrop(224),\n",
        "    transforms.ToTensor(),\n",
        "    normalize\n",
        "])\n",
        "\n",
        "testset = torchvision.datasets.ImageFolder('imagenet-a', transform=test_transform)\n",
        "testloader = DataLoader(testset, batch_size=128, shuffle=False,  pin_memory=True, num_workers=16)"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ioLuC7QBHhpk",
        "outputId": "2c2ab535-52fa-4546-823c-073d03f55450",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "thousand_k_to_200 = {0: -1, 1: -1, 2: -1, 3: -1, 4: -1, 5: -1, 6: 0, 7: -1, 8: -1, 9: -1, 10: -1, 11: 1, 12: -1, 13: 2, 14: -1, 15: 3, 16: -1, 17: 4, 18: -1, 19: -1, 20: -1, 21: -1, 22: 5, 23: 6, 24: -1, 25: -1, 26: -1, 27: 7, 28: -1, 29: -1, 30: 8, 31: -1, 32: -1, 33: -1, 34: -1, 35: -1, 36: -1, 37: 9, 38: -1, 39: 10, 40: -1, 41: -1, 42: 11, 43: -1, 44: -1, 45: -1, 46: -1, 47: 12, 48: -1, 49: -1, 50: 13, 51: -1, 52: -1, 53: -1, 54: -1, 55: -1, 56: -1, 57: 14, 58: -1, 59: -1, 60: -1, 61: -1, 62: -1, 63: -1, 64: -1, 65: -1, 66: -1, 67: -1, 68: -1, 69: -1, 70: 15, 71: 16, 72: -1, 73: -1, 74: -1, 75: -1, 76: 17, 77: -1, 78: -1, 79: 18, 80: -1, 81: -1, 82: -1, 83: -1, 84: -1, 85: -1, 86: -1, 87: -1, 88: -1, 89: 19, 90: 20, 91: -1, 92: -1, 93: -1, 94: 21, 95: -1, 96: 22, 97: 23, 98: -1, 99: 24, 100: -1, 101: -1, 102: -1, 103: -1, 104: -1, 105: 25, 106: -1, 107: 26, 108: 27, 109: -1, 110: 28, 111: -1, 112: -1, 113: 29, 114: -1, 115: -1, 116: -1, 117: -1, 118: -1, 119: -1, 120: -1, 121: -1, 122: -1, 123: -1, 124: 30, 125: 31, 126: -1, 127: -1, 128: -1, 129: -1, 130: 32, 131: -1, 132: 33, 133: -1, 134: -1, 135: -1, 136: -1, 137: -1, 138: -1, 139: -1, 140: -1, 141: -1, 142: -1, 143: 34, 144: 35, 145: -1, 146: -1, 147: -1, 148: -1, 149: -1, 150: 36, 151: 37, 152: -1, 153: -1, 154: -1, 155: -1, 156: -1, 157: -1, 158: -1, 159: -1, 160: -1, 161: -1, 162: -1, 163: -1, 164: -1, 165: -1, 166: -1, 167: -1, 168: -1, 169: -1, 170: -1, 171: -1, 172: -1, 173: -1, 174: -1, 175: -1, 176: -1, 177: -1, 178: -1, 179: -1, 180: -1, 181: -1, 182: -1, 183: -1, 184: -1, 185: -1, 186: -1, 187: -1, 188: -1, 189: -1, 190: -1, 191: -1, 192: -1, 193: -1, 194: -1, 195: -1, 196: -1, 197: -1, 198: -1, 199: -1, 200: -1, 201: -1, 202: -1, 203: -1, 204: -1, 205: -1, 206: -1, 207: 38, 208: -1, 209: -1, 210: -1, 211: -1, 212: -1, 213: -1, 214: -1, 215: -1, 216: -1, 217: -1, 218: -1, 219: -1, 220: -1, 221: -1, 222: -1, 223: -1, 224: -1, 225: -1, 226: -1, 227: -1, 228: -1, 229: -1, 230: -1, 231: -1, 232: -1, 233: -1, 234: 39, 235: 40, 236: -1, 237: -1, 238: -1, 239: -1, 240: -1, 241: -1, 242: -1, 243: -1, 244: -1, 245: -1, 246: -1, 247: -1, 248: -1, 249: -1, 250: -1, 251: -1, 252: -1, 253: -1, 254: 41, 255: -1, 256: -1, 257: -1, 258: -1, 259: -1, 260: -1, 261: -1, 262: -1, 263: -1, 264: -1, 265: -1, 266: -1, 267: -1, 268: -1, 269: -1, 270: -1, 271: -1, 272: -1, 273: -1, 274: -1, 275: -1, 276: -1, 277: 42, 278: -1, 279: -1, 280: -1, 281: -1, 282: -1, 283: 43, 284: -1, 285: -1, 286: -1, 287: 44, 288: -1, 289: -1, 290: -1, 291: 45, 292: -1, 293: -1, 294: -1, 295: 46, 296: -1, 297: -1, 298: 47, 299: -1, 300: -1, 301: 48, 302: -1, 303: -1, 304: -1, 305: -1, 306: 49, 307: 50, 308: 51, 309: 52, 310: 53, 311: 54, 312: -1, 313: 55, 314: 56, 315: 57, 316: -1, 317: 58, 318: -1, 319: 59, 320: -1, 321: -1, 322: -1, 323: 60, 324: 61, 325: -1, 326: 62, 327: 63, 328: -1, 329: -1, 330: 64, 331: -1, 332: -1, 333: -1, 334: 65, 335: 66, 336: 67, 337: -1, 338: -1, 339: -1, 340: -1, 341: -1, 342: -1, 343: -1, 344: -1, 345: -1, 346: -1, 347: 68, 348: -1, 349: -1, 350: -1, 351: -1, 352: -1, 353: -1, 354: -1, 355: -1, 356: -1, 357: -1, 358: -1, 359: -1, 360: -1, 361: 69, 362: -1, 363: 70, 364: -1, 365: -1, 366: -1, 367: -1, 368: -1, 369: -1, 370: -1, 371: -1, 372: 71, 373: -1, 374: -1, 375: -1, 376: -1, 377: -1, 378: 72, 379: -1, 380: -1, 381: -1, 382: -1, 383: -1, 384: -1, 385: -1, 386: 73, 387: -1, 388: -1, 389: -1, 390: -1, 391: -1, 392: -1, 393: -1, 394: -1, 395: -1, 396: -1, 397: 74, 398: -1, 399: -1, 400: 75, 401: 76, 402: 77, 403: -1, 404: 78, 405: -1, 406: -1, 407: 79, 408: -1, 409: -1, 410: -1, 411: 80, 412: -1, 413: -1, 414: -1, 415: -1, 416: 81, 417: 82, 418: -1, 419: -1, 420: 83, 421: -1, 422: -1, 423: -1, 424: -1, 425: 84, 426: -1, 427: -1, 428: 85, 429: -1, 430: 86, 431: -1, 432: -1, 433: -1, 434: -1, 435: -1, 436: -1, 437: 87, 438: 88, 439: -1, 440: -1, 441: -1, 442: -1, 443: -1, 444: -1, 445: 89, 446: -1, 447: -1, 448: -1, 449: -1, 450: -1, 451: -1, 452: -1, 453: -1, 454: -1, 455: -1, 456: 90, 457: 91, 458: -1, 459: -1, 460: -1, 461: 92, 462: 93, 463: -1, 464: -1, 465: -1, 466: -1, 467: -1, 468: -1, 469: -1, 470: 94, 471: -1, 472: 95, 473: -1, 474: -1, 475: -1, 476: -1, 477: -1, 478: -1, 479: -1, 480: -1, 481: -1, 482: -1, 483: 96, 484: -1, 485: -1, 486: 97, 487: -1, 488: 98, 489: -1, 490: -1, 491: -1, 492: 99, 493: -1, 494: -1, 495: -1, 496: 100, 497: -1, 498: -1, 499: -1, 500: -1, 501: -1, 502: -1, 503: -1, 504: -1, 505: -1, 506: -1, 507: -1, 508: -1, 509: -1, 510: -1, 511: -1, 512: -1, 513: -1, 514: 101, 515: -1, 516: 102, 517: -1, 518: -1, 519: -1, 520: -1, 521: -1, 522: -1, 523: -1, 524: -1, 525: -1, 526: -1, 527: -1, 528: 103, 529: -1, 530: 104, 531: -1, 532: -1, 533: -1, 534: -1, 535: -1, 536: -1, 537: -1, 538: -1, 539: 105, 540: -1, 541: -1, 542: 106, 543: 107, 544: -1, 545: -1, 546: -1, 547: -1, 548: -1, 549: 108, 550: -1, 551: -1, 552: 109, 553: -1, 554: -1, 555: -1, 556: -1, 557: 110, 558: -1, 559: -1, 560: -1, 561: 111, 562: 112, 563: -1, 564: -1, 565: -1, 566: -1, 567: -1, 568: -1, 569: 113, 570: -1, 571: -1, 572: 114, 573: 115, 574: -1, 575: 116, 576: -1, 577: -1, 578: -1, 579: 117, 580: -1, 581: -1, 582: -1, 583: -1, 584: -1, 585: -1, 586: -1, 587: -1, 588: -1, 589: 118, 590: -1, 591: -1, 592: -1, 593: -1, 594: -1, 595: -1, 596: -1, 597: -1, 598: -1, 599: -1, 600: -1, 601: -1, 602: -1, 603: -1, 604: -1, 605: -1, 606: 119, 607: 120, 608: -1, 609: 121, 610: -1, 611: -1, 612: -1, 613: -1, 614: 122, 615: -1, 616: -1, 617: -1, 618: -1, 619: -1, 620: -1, 621: -1, 622: -1, 623: -1, 624: -1, 625: -1, 626: 123, 627: 124, 628: -1, 629: -1, 630: -1, 631: -1, 632: -1, 633: -1, 634: -1, 635: -1, 636: -1, 637: -1, 638: -1, 639: -1, 640: 125, 641: 126, 642: 127, 643: 128, 644: -1, 645: -1, 646: -1, 647: -1, 648: -1, 649: -1, 650: -1, 651: -1, 652: -1, 653: -1, 654: -1, 655: -1, 656: -1, 657: -1, 658: 129, 659: -1, 660: -1, 661: -1, 662: -1, 663: -1, 664: -1, 665: -1, 666: -1, 667: -1, 668: 130, 669: -1, 670: -1, 671: -1, 672: -1, 673: -1, 674: -1, 675: -1, 676: -1, 677: 131, 678: -1, 679: -1, 680: -1, 681: -1, 682: 132, 683: -1, 684: 133, 685: -1, 686: -1, 687: 134, 688: -1, 689: -1, 690: -1, 691: -1, 692: -1, 693: -1, 694: -1, 695: -1, 696: -1, 697: -1, 698: -1, 699: -1, 700: -1, 701: 135, 702: -1, 703: -1, 704: 136, 705: -1, 706: -1, 707: -1, 708: -1, 709: -1, 710: -1, 711: -1, 712: -1, 713: -1, 714: -1, 715: -1, 716: -1, 717: -1, 718: -1, 719: 137, 720: -1, 721: -1, 722: -1, 723: -1, 724: -1, 725: -1, 726: -1, 727: -1, 728: -1, 729: -1, 730: -1, 731: -1, 732: -1, 733: -1, 734: -1, 735: -1, 736: 138, 737: -1, 738: -1, 739: -1, 740: -1, 741: -1, 742: -1, 743: -1, 744: -1, 745: -1, 746: 139, 747: -1, 748: -1, 749: 140, 750: -1, 751: -1, 752: 141, 753: -1, 754: -1, 755: -1, 756: -1, 757: -1, 758: 142, 759: -1, 760: -1, 761: -1, 762: -1, 763: 143, 764: -1, 765: 144, 766: -1, 767: -1, 768: 145, 769: -1, 770: -1, 771: -1, 772: -1, 773: 146, 774: 147, 775: -1, 776: 148, 777: -1, 778: -1, 779: 149, 780: 150, 781: -1, 782: -1, 783: -1, 784: -1, 785: -1, 786: 151, 787: -1, 788: -1, 789: -1, 790: -1, 791: -1, 792: 152, 793: -1, 794: -1, 795: -1, 796: -1, 797: 153, 798: -1, 799: -1, 800: -1, 801: -1, 802: 154, 803: 155, 804: 156, 805: -1, 806: -1, 807: -1, 808: -1, 809: -1, 810: -1, 811: -1, 812: -1, 813: 157, 814: -1, 815: 158, 816: -1, 817: -1, 818: -1, 819: -1, 820: 159, 821: -1, 822: -1, 823: 160, 824: -1, 825: -1, 826: -1, 827: -1, 828: -1, 829: -1, 830: -1, 831: 161, 832: -1, 833: 162, 834: -1, 835: 163, 836: -1, 837: -1, 838: -1, 839: 164, 840: -1, 841: -1, 842: -1, 843: -1, 844: -1, 845: 165, 846: -1, 847: 166, 848: -1, 849: -1, 850: 167, 851: -1, 852: -1, 853: -1, 854: -1, 855: -1, 856: -1, 857: -1, 858: -1, 859: 168, 860: -1, 861: -1, 862: 169, 863: -1, 864: -1, 865: -1, 866: -1, 867: -1, 868: -1, 869: -1, 870: 170, 871: -1, 872: -1, 873: -1, 874: -1, 875: -1, 876: -1, 877: -1, 878: -1, 879: 171, 880: 172, 881: -1, 882: -1, 883: -1, 884: -1, 885: -1, 886: -1, 887: -1, 888: 173, 889: -1, 890: 174, 891: -1, 892: -1, 893: -1, 894: -1, 895: -1, 896: -1, 897: 175, 898: -1, 899: -1, 900: 176, 901: -1, 902: -1, 903: -1, 904: -1, 905: -1, 906: -1, 907: 177, 908: -1, 909: -1, 910: -1, 911: -1, 912: -1, 913: 178, 914: -1, 915: -1, 916: -1, 917: -1, 918: -1, 919: -1, 920: -1, 921: -1, 922: -1, 923: -1, 924: 179, 925: -1, 926: -1, 927: -1, 928: -1, 929: -1, 930: -1, 931: -1, 932: 180, 933: 181, 934: 182, 935: -1, 936: -1, 937: 183, 938: -1, 939: -1, 940: -1, 941: -1, 942: -1, 943: 184, 944: -1, 945: 185, 946: -1, 947: 186, 948: -1, 949: -1, 950: -1, 951: 187, 952: -1, 953: -1, 954: 188, 955: -1, 956: 189, 957: 190, 958: -1, 959: 191, 960: -1, 961: -1, 962: -1, 963: -1, 964: -1, 965: -1, 966: -1, 967: -1, 968: -1, 969: -1, 970: -1, 971: 192, 972: 193, 973: -1, 974: -1, 975: -1, 976: -1, 977: -1, 978: -1, 979: -1, 980: 194, 981: 195, 982: -1, 983: -1, 984: 196, 985: -1, 986: 197, 987: 198, 988: 199, 989: -1, 990: -1, 991: -1, 992: -1, 993: -1, 994: -1, 995: -1, 996: -1, 997: -1, 998: -1, 999: -1}\n",
        "indices_in_1k = [k for k in thousand_k_to_200 if thousand_k_to_200[k] != -1]\n",
        "\n",
        "concat = lambda x: np.concatenate(x, axis=0)\n",
        "to_np = lambda x: x.data.to('cpu').numpy()\n",
        "\n",
        "def get_net_results(net):\n",
        "    confidence = []\n",
        "    correct = []\n",
        "\n",
        "    num_correct = 0\n",
        "    with torch.no_grad():\n",
        "        for batch_idx, (data, target) in enumerate(testloader):\n",
        "            data, target = data.cuda(), target.cuda()\n",
        "\n",
        "            output = net(data)[:,indices_in_1k]\n",
        "\n",
        "            # accuracy\n",
        "            pred = output.data.max(1)[1]\n",
        "            num_correct += pred.eq(target.data).sum().item()\n",
        "\n",
        "            confidence.extend(to_np(F.softmax(output, dim=1).max(1)[0]).squeeze().tolist())\n",
        "            pred = output.data.max(1)[1]\n",
        "            correct.extend(pred.eq(target).to('cpu').numpy().squeeze().tolist())\n",
        "\n",
        "    return num_correct / len(testloader.dataset), confidence.copy(), correct.copy()\n",
        "\n",
        "n_bns = [1, 2, 4, 8, 16, 32]\n",
        "reps = [0, 1, 2]\n",
        "\n",
        "results={'Bottleneck Size':[], 'Run':[], 'Accuracy':[], 'RMS Calib Error':[], 'AURRA':[]}\n",
        "\n",
        "for n_bn in n_bns:\n",
        "    for rep in reps:\n",
        "            print(\"-\"*80)\n",
        "            print(n_bn, rep)\n",
        "            print(\"-\"*80)\n",
        "            model = torch.hub.load('ecs-vlc/bottleneck:master', 'imagenet_resnet50', n_bn=n_bn, rep=rep, verbose=False)\n",
        "            model.eval()\n",
        "            model.cuda()\n",
        "\n",
        "            acc, test_confidence, test_correct = get_net_results(model)\n",
        "\n",
        "            print('ImageNet-A Accuracy (%):', round(100*acc, 4))\n",
        "\n",
        "            show_calibration_results(np.array(test_confidence), np.array(test_correct))\n",
        "            calib, aurra, _, _ = get_measures(np.array(test_confidence), np.array(test_correct))\n",
        "            print()\n",
        "            results['Bottleneck Size'].append(n_bn)\n",
        "            results['Run'].append(rep)\n",
        "            results['Accuracy'].append(acc)\n",
        "            results['RMS Calib Error'].append(calib)\n",
        "            results['AURRA'].append(aurra)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--------------------------------------------------------------------------------\n",
            "1 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 3.0267\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t54.69\n",
            "AURRA (%): \t\t\t2.74\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "1 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 3.2933\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t53.43\n",
            "AURRA (%): \t\t\t2.95\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "1 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.52\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t52.18\n",
            "AURRA (%): \t\t\t2.44\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "2 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.9733\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t54.78\n",
            "AURRA (%): \t\t\t1.38\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "2 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 3.24\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t53.50\n",
            "AURRA (%): \t\t\t3.04\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "2 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.6267\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t52.57\n",
            "AURRA (%): \t\t\t2.53\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "4 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.1467\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t54.97\n",
            "AURRA (%): \t\t\t1.64\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "4 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.8667\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.60\n",
            "AURRA (%): \t\t\t1.37\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "4 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.7867\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t52.98\n",
            "AURRA (%): \t\t\t2.52\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "8 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.9867\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.63\n",
            "AURRA (%): \t\t\t1.67\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "8 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.84\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.73\n",
            "AURRA (%): \t\t\t1.47\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "8 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.6667\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t56.04\n",
            "AURRA (%): \t\t\t1.14\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "16 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.0667\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t54.80\n",
            "AURRA (%): \t\t\t1.55\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "16 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.0667\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.45\n",
            "AURRA (%): \t\t\t1.69\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "16 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.0133\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t56.03\n",
            "AURRA (%): \t\t\t1.44\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "32 0\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.1467\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.45\n",
            "AURRA (%): \t\t\t1.67\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "32 1\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 1.8\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.45\n",
            "AURRA (%): \t\t\t1.46\n",
            "\n",
            "--------------------------------------------------------------------------------\n",
            "32 2\n",
            "--------------------------------------------------------------------------------\n",
            "ImageNet-A Accuracy (%): 2.1067\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t55.93\n",
            "AURRA (%): \t\t\t1.64\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uNkxKzTIhbxq",
        "outputId": "a5e0a3bb-0769-4e1a-ff6b-ead34f482c6d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "data = pd.DataFrame.from_dict(results)\n",
        "sns.barplot(x=\"Bottleneck Size\", y=\"Accuracy\", data=data).set_title(\"ImageNet-A Performance\")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'ImageNet-A Performance')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WjIBakulhekS",
        "outputId": "1a28220d-ee56-4076-cd75-f7a5fc65594f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "sns.barplot(x=\"Bottleneck Size\", y=\"RMS Calib Error\", data=data).set_title(\"ImageNet-A Calibration Error\")"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'ImageNet-A Calibration Error')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFmVG7NvihoP",
        "outputId": "77b0e6ac-4969-4695-8dca-ee90b71bb281",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "sns.barplot(x=\"Bottleneck Size\", y=\"AURRA\", data=data).set_title(\"ImageNet-A Error Detection\")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'ImageNet-A Error Detection')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ezOBea2Giiam",
        "outputId": "a8247c9a-df1c-4891-ab4c-f7be87d59e9c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 188,
          "referenced_widgets": [
            "8a6c19d711994fadae2a171790a3613c",
            "3c3854a47dc54111b94790c429b4c93f",
            "f56476ee362d42699171f72e2ec625df",
            "a32eae05184946c09abe58200af96afe",
            "d9211c0aab9b4f33b78f18796fe44f32",
            "028ac81e55f442a78ffe0f9fbf91f105",
            "3a48d4f623c64966b78c188a97e5d892",
            "7dcf6c0ee8164accb845f1c74af2e3fa"
          ]
        }
      },
      "source": [
        "#baseline model perf\n",
        "model = torchvision.models.resnet18(pretrained=True)\n",
        "model.eval()\n",
        "model.cuda()\n",
        "\n",
        "acc, test_confidence, test_correct = get_net_results(model)\n",
        "\n",
        "print('ImageNet-A Accuracy (%):', round(100*acc, 4))\n",
        "\n",
        "show_calibration_results(np.array(test_confidence), np.array(test_correct))\n",
        "calib, aurra, _, _ = get_measures(np.array(test_confidence), np.array(test_correct))\n",
        "print()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8a6c19d711994fadae2a171790a3613c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=46827520.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "ImageNet-A Accuracy (%): 1.1467\n",
            "\t\t\t\tBaseline\n",
            "RMS Calib Error (%): \t\t53.01\n",
            "AURRA (%): \t\t\t0.70\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3xJSPQqHjc7w"
      },
      "source": [
        "import json\n",
        "\n",
        "with open('imagenet-a-results.json','w') as f:\n",
        "  json.dump(results, f)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9mPt3uPfPNDT"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}