***************
** Arguments **
***************
backbone: 
config_file: configs/trainers/CoOp/vit_b16_ep50_bs4.yaml
dataset_config_file: configs/datasets/imagenet.yaml
eval_only: True
head: 
load_epoch: None
model_dir: 
no_train: False
opts: ['DATASET.SUBSAMPLE_CLASSES', 'new2']
output_dir: output/new2/ZeroshotCLIP/vit_b16_ep50_bs4/imagenet/2
resume: 
root: /mnt/hdd/DATA
seed: 2
source_domains: None
target_domains: None
trainer: ZeroshotCLIP
transforms: None
************
** Config **
************
DATALOADER:
  K_TRANSFORMS: 1
  NUM_WORKERS: 8
  RETURN_IMG0: False
  TEST:
    BATCH_SIZE: 100
    SAMPLER: SequentialSampler
  TRAIN_U:
    BATCH_SIZE: 32
    N_DOMAIN: 0
    N_INS: 16
    SAME_AS_X: True
    SAMPLER: RandomSampler
  TRAIN_X:
    BATCH_SIZE: 4
    N_DOMAIN: 0
    N_INS: 16
    SAMPLER: RandomSampler
DATASET:
  ALL_AS_UNLABELED: False
  CIFAR_C_LEVEL: 1
  CIFAR_C_TYPE: 
  NAME: ImageNet
  NUM_LABELED: -1
  NUM_SHOTS: -1
  ROOT: /mnt/hdd/DATA
  SOURCE_DOMAINS: ()
  STL10_FOLD: -1
  SUBSAMPLE_CLASSES: new2
  TARGET_DOMAINS: ()
  VAL_PERCENT: 0.1
INPUT:
  COLORJITTER_B: 0.4
  COLORJITTER_C: 0.4
  COLORJITTER_H: 0.1
  COLORJITTER_S: 0.4
  CROP_PADDING: 4
  CUTOUT_LEN: 16
  CUTOUT_N: 1
  GB_K: 21
  GB_P: 0.5
  GN_MEAN: 0.0
  GN_STD: 0.15
  INTERPOLATION: bicubic
  NO_TRANSFORM: False
  PIXEL_MEAN: [0.48145466, 0.4578275, 0.40821073]
  PIXEL_STD: [0.26862954, 0.26130258, 0.27577711]
  RANDAUGMENT_M: 10
  RANDAUGMENT_N: 2
  RGS_P: 0.2
  RRCROP_SCALE: (0.08, 1.0)
  SIZE: (224, 224)
  TRANSFORMS: ('random_resized_crop', 'random_flip', 'normalize')
MODEL:
  BACKBONE:
    NAME: ViT-B/16
    PRETRAINED: True
  HEAD:
    ACTIVATION: relu
    BN: True
    DROPOUT: 0.0
    HIDDEN_LAYERS: ()
    NAME: 
  INIT_WEIGHTS: 
OPTIM:
  ADAM_BETA1: 0.9
  ADAM_BETA2: 0.999
  BASE_LR_MULT: 0.1
  GAMMA: 0.1
  LR: 0.002
  LR_SCHEDULER: cosine
  MAX_EPOCH: 50
  MOMENTUM: 0.9
  NAME: sgd
  NEW_LAYERS: ()
  RMSPROP_ALPHA: 0.99
  SGD_DAMPNING: 0
  SGD_NESTEROV: False
  STAGED_LR: False
  STEPSIZE: (-1,)
  WARMUP_CONS_LR: 1e-05
  WARMUP_EPOCH: 1
  WARMUP_MIN_LR: 1e-05
  WARMUP_RECOUNT: True
  WARMUP_TYPE: constant
  WEIGHT_DECAY: 0.0005
OUTPUT_DIR: output/new2/ZeroshotCLIP/vit_b16_ep50_bs4/imagenet/2
RESUME: 
SEED: 2
TEST:
  COMPUTE_CMAT: False
  EVALUATOR: Classification
  FINAL_MODEL: last_step
  NO_TEST: False
  PER_CLASS_RESULT: False
  SPLIT: test
TRAIN:
  CHECKPOINT_FREQ: 0
  COUNT_ITER: train_x
  PRINT_FREQ: 20
TRAINER:
  CDAC:
    CLASS_LR_MULTI: 10
    P_THRESH: 0.95
    RAMPUP_COEF: 30
    RAMPUP_ITRS: 1000
    STRONG_TRANSFORMS: ()
    TOPK_MATCH: 5
  COCOOP:
    CTX_INIT: 
    N_CTX: 16
    PREC: fp16
  COOP:
    CLASS_TOKEN_POSITION: end
    CSC: False
    CTX_INIT: 
    N_CTX: 16
    PREC: fp16
  CROSSGRAD:
    ALPHA_D: 0.5
    ALPHA_F: 0.5
    EPS_D: 1.0
    EPS_F: 1.0
  DAEL:
    CONF_THRE: 0.95
    STRONG_TRANSFORMS: ()
    WEIGHT_U: 0.5
  DAELDG:
    CONF_THRE: 0.95
    STRONG_TRANSFORMS: ()
    WEIGHT_U: 0.5
  DDAIG:
    ALPHA: 0.5
    CLAMP: False
    CLAMP_MAX: 1.0
    CLAMP_MIN: -1.0
    G_ARCH: 
    LMDA: 0.3
    WARMUP: 0
  DOMAINMIX:
    ALPHA: 1.0
    BETA: 1.0
    TYPE: crossdomain
  ENTMIN:
    LMDA: 0.001
  FIXMATCH:
    CONF_THRE: 0.95
    STRONG_TRANSFORMS: ()
    WEIGHT_U: 1.0
  IVLP:
    CTX_INIT: a photo of a
    N_CTX_TEXT: 2
    N_CTX_VISION: 2
    PREC: fp16
    PROMPT_DEPTH_TEXT: 9
    PROMPT_DEPTH_VISION: 9
  M3SDA:
    LMDA: 0.5
    N_STEP_F: 4
  MAPLE:
    CTX_INIT: a photo of a
    N_CTX: 4
    PREC: fp16
    PROMPT_DEPTH: 9
  MCD:
    N_STEP_F: 4
  MEANTEACHER:
    EMA_ALPHA: 0.999
    RAMPUP: 5
    WEIGHT_U: 1.0
  MIXMATCH:
    MIXUP_BETA: 0.75
    RAMPUP: 20000
    TEMP: 2.0
    WEIGHT_U: 100.0
  MME:
    LMDA: 0.1
  NAME: ZeroshotCLIP
  ProDA:
    N_CTX: 16
    N_PROMPT: 32
    PREC: fp16
  SE:
    CONF_THRE: 0.95
    EMA_ALPHA: 0.999
    RAMPUP: 300
  VPT:
    CTX_INIT: a photo of a
    N_CTX_VISION: 2
    PREC: fp16
    PROMPT_DEPTH_VISION: 1
USE_CUDA: True
VERBOSE: True
VERSION: 1
Collecting env info ...
** System info **
PyTorch version: 2.2.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 12 (bookworm) (x86_64)
GCC version: (Debian 12.2.0-14) 12.2.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.36

Python version: 3.11.2 (main, Mar 13 2023, 12:18:29) [GCC 12.2.0] (64-bit runtime)
Python platform: Linux-6.5.13-3-pve-x86_64-with-glibc2.36
Is CUDA available: True
CUDA runtime version: 11.8.89
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA A800 80GB PCIe
GPU 1: NVIDIA A800 80GB PCIe

Nvidia driver version: 525.147.05
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                       x86_64
CPU op-mode(s):                     32-bit, 64-bit
Address sizes:                      46 bits physical, 57 bits virtual
Byte Order:                         Little Endian
CPU(s):                             64
On-line CPU(s) list:                18,20,22,23,25-27,29,31,32,34,37,46-49
Off-line CPU(s) list:               0-17,19,21,24,28,30,33,35,36,38-45,50-63
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz
CPU family:                         6
Model:                              106
Thread(s) per core:                 2
Core(s) per socket:                 16
Socket(s):                          2
Stepping:                           6
CPU(s) scaling MHz:                 98%
CPU max MHz:                        3500.0000
CPU min MHz:                        800.0000
BogoMIPS:                           5800.00
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect wbnoinvd dtherm ida arat pln pts vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid fsrm md_clear pconfig flush_l1d arch_capabilities
Virtualization:                     VT-x
L1d cache:                          1.5 MiB (32 instances)
L1i cache:                          1 MiB (32 instances)
L2 cache:                           40 MiB (32 instances)
L3 cache:                           48 MiB (2 instances)
NUMA node(s):                       2
NUMA node0 CPU(s):                  0-15,32-47
NUMA node1 CPU(s):                  16-31,48-63
Vulnerability Gather data sampling: Vulnerable: No microcode
Vulnerability Itlb multihit:        Not affected
Vulnerability L1tf:                 Not affected
Vulnerability Mds:                  Not affected
Vulnerability Meltdown:             Not affected
Vulnerability Mmio stale data:      Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed:             Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced / Automatic IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] flake8==3.7.9
[pip3] flake8==3.7.9
[pip3] numpy==1.26.4
[pip3] torch==2.2.1
[pip3] torchaudio==2.2.1
[pip3] torchvision==0.17.1
[pip3] triton==2.2.0
[conda] Could not collect
        Pillow (10.2.0)

Loading trainer: ZeroshotCLIP
Loading dataset: ImageNet
Loading preprocessed few-shot data from /mnt/hdd/DATA/imagenet/split_fewshot/shot_-1_shuffled-seed_2.pkl
SUBSAMPLE NEW2 CLASSES!
Building transform_train
+ random resized crop (size=(224, 224), scale=(0.08, 1.0))
+ random flip
+ to torch tensor of range [0, 1]
+ normalization (mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711])
Building transform_test
+ resize the smaller edge to 224
+ 224x224 center crop
+ to torch tensor of range [0, 1]
+ normalization (mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711])
---------  --------
Dataset    ImageNet
# classes  700
# train_x  896,618
# val      35,000
# test     35,000
---------  --------
Loading CLIP (backbone: ViT-B/16)
Prompts: ['a photo of a jaguar.', 'a photo of a Gordon Setter.', 'a photo of a conch.', 'a photo of a Dutch oven.', 'a photo of a paintbrush.', 'a photo of a drum.', 'a photo of a shower cap.', 'a photo of a tent.', 'a photo of a mixing bowl.', 'a photo of a common sorrel horse.', 'a photo of a mongoose.', 'a photo of a maypole.', 'a photo of a through arch bridge.', 'a photo of a Christmas stocking.', 'a photo of a bee eater.', 'a photo of a snow leopard.', 'a photo of a Curly-coated Retriever.', 'a photo of a Vizsla.', 'a photo of a music speaker.', 'a photo of a Welsh Springer Spaniel.', 'a photo of a sweatshirt.', 'a photo of a hook.', 'a photo of a mosquito net.', 'a photo of a African rock python.', 'a photo of a syringe.', 'a photo of a bald eagle.', 'a photo of a football helmet.', 'a photo of a combination lock.', 'a photo of a Miniature Poodle.', 'a photo of a matchstick.', 'a photo of a shower curtain.', 'a photo of a radio.', 'a photo of a semi-trailer truck.', 'a photo of a drumstick.', 'a photo of a bassoon.', 'a photo of a tiger beetle.', 'a photo of a cannon.', 'a photo of a medicine cabinet.', 'a photo of a goose.', 'a photo of a lakeshore.', 'a photo of a green mamba.', 'a photo of a fire truck.', 'a photo of a howler monkey.', 'a photo of a French Bulldog.', 'a photo of a Japanese Chin.', 'a photo of a slide rule.', 'a photo of a hyena.', 'a photo of a white stork.', 'a photo of a candle.', 'a photo of a Dalmatian.', 'a photo of a rose hip.', 'a photo of a cassette player.', 'a photo of a fly.', 'a photo of a greenhouse.', 'a photo of a hourglass.', 'a photo of a weevil.', 'a photo of a jackfruit.', 'a photo of a coffeemaker.', 'a photo of a ocarina.', 'a photo of a Maltese.', 'a photo of a Petri dish.', 'a photo of a goblet.', 'a photo of a mink.', 'a photo of a doormat.', 'a photo of a Saharan horned viper.', 'a photo of a perfume.', 'a photo of a parallel bars.', 'a photo of a pig.', 'a photo of a cornet.', 'a photo of a bow tie.', 'a photo of a albatross.', 'a photo of a storage chest.', 'a photo of a nematode.', 'a photo of a CD player.', 'a photo of a ram (adult male sheep).', 'a photo of a diaper.', "a photo of a yellow lady's slipper.", 'a photo of a chocolate syrup.', 'a photo of a cauldron.', 'a photo of a ringlet butterfly.', 'a photo of a balaclava ski mask.', 'a photo of a weasel.', 'a photo of a gown.', 'a photo of a turnstile.', 'a photo of a frilled-necked lizard.', 'a photo of a meerkat.', 'a photo of a fiddler crab.', 'a photo of a coucal.', 'a photo of a abacus.', 'a photo of a cliff.', 'a photo of a strawberry.', 'a photo of a megalith.', 'a photo of a eggnog.', 'a photo of a orangutan.', 'a photo of a maze.', 'a photo of a bucket.', 'a photo of a baby bib.', 'a photo of a beer bottle.', 'a photo of a oboe.', 'a photo of a macaque.', 'a photo of a pipe organ.', 'a photo of a plant pot.', 'a photo of a stupa.', 'a photo of a gondola.', 'a photo of a monastery.', 'a photo of a consomme.', 'a photo of a Clumber Spaniel.', 'a photo of a water bottle.', 'a photo of a mitten.', 'a photo of a toy terrier.', 'a photo of a bookstore.', 'a photo of a sock.', 'a photo of a whiskey jug.', 'a photo of a agama.', 'a photo of a ford model t.', 'a photo of a tiger cat.', 'a photo of a great white shark.', 'a photo of a balloon.', 'a photo of a sports car.', 'a photo of a stinkhorn mushroom.', 'a photo of a race car.', 'a photo of a red panda.', 'a photo of a Old English Sheepdog.', 'a photo of a manhole cover.', 'a photo of a coral reef.', 'a photo of a Lakeland Terrier.', 'a photo of a Standard Schnauzer.', 'a photo of a tea cup.', 'a photo of a wombat.', 'a photo of a koala.', 'a photo of a water tower.', 'a photo of a harvestman.', 'a photo of a construction crane.', 'a photo of a Windsor tie.', 'a photo of a high-speed train.', 'a photo of a cowboy hat.', 'a photo of a tray.', 'a photo of a computer keyboard.', 'a photo of a gong.', 'a photo of a Chihuahua.', 'a photo of a pencil case.', 'a photo of a knee pad.', 'a photo of a ostrich.', 'a photo of a guillotine.', 'a photo of a hatchet.', 'a photo of a schooner.', 'a photo of a Komondor.', 'a photo of a toy store.', 'a photo of a Alaskan Malamute.', 'a photo of a washing machine.', 'a photo of a poncho.', 'a photo of a airship.', 'a photo of a brambling.', 'a photo of a shield.', 'a photo of a burrito.', 'a photo of a Nile crocodile.', 'a photo of a chain.', 'a photo of a traffic light.', 'a photo of a scarf.', 'a photo of a birdhouse.', 'a photo of a tripod.', 'a photo of a ladybug.', 'a photo of a dunlin.', 'a photo of a limousine.', 'a photo of a bath towel.', 'a photo of a tractor.', 'a photo of a white-headed capuchin.', 'a photo of a grasshopper.', 'a photo of a Siamese cat.', 'a photo of a cricket insect.', 'a photo of a marmoset.', 'a photo of a skunk.', 'a photo of a mountain bike.', 'a photo of a cleaver.', 'a photo of a computer mouse.', 'a photo of a dam.', 'a photo of a black grouse.', 'a photo of a tusker.', 'a photo of a miniskirt.', 'a photo of a Persian cat.', 'a photo of a space heater.', 'a photo of a eel.', 'a photo of a african grey parrot.', 'a photo of a espresso machine.', 'a photo of a American black bear.', 'a photo of a rhinoceros beetle.', 'a photo of a sulphur butterfly.', 'a photo of a padlock.', 'a photo of a breastplate.', 'a photo of a hand-held computer.', 'a photo of a smooth newt.', 'a photo of a mobile phone.', 'a photo of a typewriter keyboard.', 'a photo of a lens cap.', 'a photo of a sailboat.', 'a photo of a projector.', 'a photo of a remote control.', 'a photo of a black swan.', 'a photo of a missile.', 'a photo of a military hat (bearskin or shako).', 'a photo of a dining table.', 'a photo of a lab coat.', 'a photo of a bolete.', 'a photo of a barrel.', 'a photo of a sliding door.', 'a photo of a junco.', 'a photo of a whistle.', 'a photo of a Cardigan Welsh Corgi.', 'a photo of a apiary.', 'a photo of a cougar.', 'a photo of a Indian cobra.', 'a photo of a axolotl.', 'a photo of a cardoon.', 'a photo of a loggerhead sea turtle.', 'a photo of a wallet.', 'a photo of a vaulted or arched ceiling.', 'a photo of a llama.', 'a photo of a planetarium.', 'a photo of a seat belt.', 'a photo of a limpkin.', 'a photo of a vending machine.', 'a photo of a Alpine ibex.', 'a photo of a bittern bird.', 'a photo of a Labrador Retriever.', 'a photo of a dingo.', 'a photo of a solar thermal collector.', 'a photo of a brown bear.', 'a photo of a triceratops.', 'a photo of a Bullmastiff.', 'a photo of a American robin.', 'a photo of a bustard.', 'a photo of a bee.', 'a photo of a Weimaraner.', 'a photo of a moving van.', 'a photo of a rooster.', 'a photo of a agaric.', 'a photo of a mud turtle.', 'a photo of a spiny lobster.', 'a photo of a modem.', 'a photo of a mobile home.', 'a photo of a sea urchin.', 'a photo of a electric guitar.', 'a photo of a Cocker Spaniel.', 'a photo of a house finch.', 'a photo of a proboscis monkey.', 'a photo of a Treeing Walker Coonhound.', 'a photo of a trombone.', 'a photo of a corn cob.', 'a photo of a grey wolf.', 'a photo of a notebook computer.', 'a photo of a altar.', 'a photo of a arabian camel.', 'a photo of a stingray.', 'a photo of a hippopotamus.', 'a photo of a kingsnake.', 'a photo of a maraca.', 'a photo of a fire screen.', 'a photo of a spoonbill.', 'a photo of a hare.', 'a photo of a joystick.', 'a photo of a King Charles Spaniel.', 'a photo of a station wagon.', 'a photo of a beaker.', 'a photo of a reflex camera.', 'a photo of a farm plow.', 'a photo of a teapot.', 'a photo of a zebra.', 'a photo of a CRT monitor.', 'a photo of a smooth green snake.', 'a photo of a tape player.', 'a photo of a collie.', 'a photo of a sewing machine.', 'a photo of a Giant Schnauzer.', 'a photo of a German Shorthaired Pointer.', 'a photo of a minibus.', 'a photo of a swing.', 'a photo of a Flat-Coated Retriever.', 'a photo of a tile roof.', 'a photo of a bobsleigh.', 'a photo of a motorboat.', 'a photo of a screw.', 'a photo of a kit fox.', 'a photo of a sandbar.', 'a photo of a sunglasses.', 'a photo of a Boxer.', 'a photo of a rickshaw.', 'a photo of a car wheel.', 'a photo of a chiton.', 'a photo of a hartebeest.', 'a photo of a military aircraft.', 'a photo of a vine snake.', 'a photo of a bakery.', 'a photo of a soccer ball.', 'a photo of a convertible.', 'a photo of a paddle.', 'a photo of a volleyball.', 'a photo of a rotisserie.', 'a photo of a pool table.', 'a photo of a lorikeet.', 'a photo of a barn spider.', 'a photo of a French horn.', 'a photo of a Sealyham Terrier.', 'a photo of a Whippet.', 'a photo of a vulture.', 'a photo of a American lobster.', 'a photo of a isopod.', 'a photo of a soup bowl.', 'a photo of a dust jacket.', 'a photo of a rugby ball.', 'a photo of a measuring cup.', 'a photo of a barber chair.', 'a photo of a oxygen mask.', 'a photo of a bubble.', 'a photo of a black stork.', 'a photo of a borzoi.', 'a photo of a shoe store.', 'a photo of a ski.', 'a photo of a Komodo dragon.', 'a photo of a pretzel.', 'a photo of a mortar and pestle.', 'a photo of a lipstick.', 'a photo of a folding chair.', 'a photo of a toaster.', 'a photo of a neck brace.', 'a photo of a king penguin.', 'a photo of a promontory.', 'a photo of a Scottish Terrier.', 'a photo of a Pickelhaube.', 'a photo of a Asian elephant.', 'a photo of a armadillo.', 'a photo of a red fox.', 'a photo of a pier.', 'a photo of a Schipperke.', 'a photo of a hamster.', 'a photo of a website.', 'a photo of a Kerry Blue Terrier.', 'a photo of a golf ball.', 'a photo of a Staffordshire Bull Terrier.', 'a photo of a ring-necked snake.', 'a photo of a revolver.', 'a photo of a sea snake.', 'a photo of a barn.', 'a photo of a garbage truck.', 'a photo of a sandal.', 'a photo of a letter opener.', 'a photo of a Tibetan Mastiff.', 'a photo of a Malinois.', 'a photo of a kimono.', 'a photo of a ring binder.', 'a photo of a pencil sharpener.', 'a photo of a poke bonnet.', 'a photo of a Soft-coated Wheaten Terrier.', 'a photo of a baluster / handrail.', 'a photo of a keyboard space bar.', 'a photo of a snorkel.', 'a photo of a warthog.', 'a photo of a cherimoya (custard apple).', 'a photo of a lacewing.', 'a photo of a sunglasses.', 'a photo of a lionfish.', 'a photo of a safe.', 'a photo of a otter.', 'a photo of a acorn.', 'a photo of a photocopier.', 'a photo of a fountain.', 'a photo of a baseball player.', 'a photo of a clothes iron.', 'a photo of a leaf beetle.', 'a photo of a library.', 'a photo of a mailbox.', 'a photo of a Otterhound.', 'a photo of a hot tub.', 'a photo of a Australian Terrier.', 'a photo of a bassinet.', 'a photo of a tabby cat.', 'a photo of a American coot.', 'a photo of a Band-Aid.', 'a photo of a chain mail.', 'a photo of a scorpion.', 'a photo of a jeep.', 'a photo of a hummingbird.', 'a photo of a Airedale Terrier.', 'a photo of a bison.', 'a photo of a duck.', 'a photo of a frying pan.', 'a photo of a dough.', 'a photo of a table lamp.', 'a photo of a ptarmigan.', 'a photo of a English foxhound.', 'a photo of a sunscreen.', 'a photo of a flatworm.', 'a photo of a starfish.', 'a photo of a pufferfish.', 'a photo of a freight car.', 'a photo of a bookcase.', 'a photo of a bell pepper.', 'a photo of a dugong.', 'a photo of a breakwater.', 'a photo of a hot dog.', 'a photo of a quail.', 'a photo of a baby pacifier.', 'a photo of a plectrum.', 'a photo of a coffee mug.', 'a photo of a binoculars.', 'a photo of a Border Terrier.', 'a photo of a Bloodhound.', 'a photo of a brain coral.', 'a photo of a railroad car.', 'a photo of a Dandie Dinmont Terrier.', 'a photo of a saxophone.', 'a photo of a soda bottle.', 'a photo of a weighing scale.', 'a photo of a earth star fungus.', 'a photo of a shopping basket.', 'a photo of a dowitcher.', 'a photo of a Standard Poodle.', 'a photo of a sleeping bag.', 'a photo of a lynx.', 'a photo of a Rottweiler.', 'a photo of a rock crab.', 'a photo of a patio.', 'a photo of a traffic or street sign.', 'a photo of a Gila monster.', 'a photo of a red admiral butterfly.', 'a photo of a Samoyed.', 'a photo of a amphibious vehicle.', 'a photo of a tarantula.', 'a photo of a red wolf or maned wolf.', 'a photo of a dung beetle.', 'a photo of a Tibetan Terrier.', 'a photo of a lighter.', 'a photo of a small white butterfly.', 'a photo of a loupe magnifying glass.', 'a photo of a chameleon.', 'a photo of a basketball.', 'a photo of a pan flute.', 'a photo of a Australian Silky Terrier.', 'a photo of a sea cucumber.', 'a photo of a porcupine.', 'a photo of a grand piano.', 'a photo of a ambulance.', 'a photo of a cottontail rabbit.', 'a photo of a velvet fabric.', 'a photo of a snowmobile.', 'a photo of a plate.', 'a photo of a face powder.', 'a photo of a great egret.', 'a photo of a green iguana.', 'a photo of a pickup truck.', 'a photo of a holster.', 'a photo of a toilet paper.', 'a photo of a school bus.', 'a photo of a St. Bernard.', 'a photo of a hard disk drive.', 'a photo of a violin.', 'a photo of a obelisk.', 'a photo of a couch.', 'a photo of a water buffalo.', 'a photo of a bikini.', 'a photo of a guacamole.', 'a photo of a Briard.', 'a photo of a leopard.', 'a photo of a espresso.', 'a photo of a overskirt.', 'a photo of a knot.', 'a photo of a suspension bridge.', 'a photo of a Yorkshire Terrier.', 'a photo of a tench.', 'a photo of a Bernese Mountain Dog.', 'a photo of a pill bottle.', 'a photo of a ladle.', 'a photo of a microwave oven.', 'a photo of a centipede.', 'a photo of a harp.', 'a photo of a cello.', 'a photo of a half-track.', 'a photo of a tennis ball.', 'a photo of a stone wall.', 'a photo of a electric locomotive.', 'a photo of a newt.', 'a photo of a steam locomotive.', 'a photo of a envelope.', 'a photo of a bell tower.', 'a photo of a harmonica.', 'a photo of a aircraft carrier.', 'a photo of a drilling rig.', 'a photo of a spiral or coil.', 'a photo of a eraser.', 'a photo of a Golden Retriever.', 'a photo of a block plane.', 'a photo of a automated teller machine.', 'a photo of a indri.', 'a photo of a giant panda.', 'a photo of a handkerchief.', 'a photo of a crash helmet.', 'a photo of a wine bottle.', 'a photo of a cockroach.', 'a photo of a Carolina anole.', 'a photo of a indigo bunting.', 'a photo of a jigsaw puzzle.', 'a photo of a rapeseed.', 'a photo of a hair clip.', 'a photo of a common gallinule.', 'a photo of a German Shepherd Dog.', 'a photo of a Italian Greyhound.', 'a photo of a fur coat.', 'a photo of a shovel.', 'a photo of a can opener.', 'a photo of a husky.', 'a photo of a ground beetle.', 'a photo of a African bush elephant.', 'a photo of a eastern diamondback rattlesnake.', 'a photo of a paddle wheel.', 'a photo of a tiger shark.', 'a photo of a European polecat.', 'a photo of a European garden spider.', 'a photo of a Chesapeake Bay Retriever.', 'a photo of a cardboard box / carton.', 'a photo of a acorn squash.', 'a photo of a feather boa.', 'a photo of a chiffonier.', 'a photo of a mashed potatoes.', 'a photo of a front curtain.', 'a photo of a common redshank.', 'a photo of a wok.', 'a photo of a mask.', 'a photo of a fireboat.', 'a photo of a Lhasa Apso.', 'a photo of a hammer.', 'a photo of a payphone.', 'a photo of a Sussex Spaniel.', 'a photo of a gar fish.', 'a photo of a Irish Water Spaniel.', 'a photo of a wool.', 'a photo of a jay.', 'a photo of a necklace.', 'a photo of a mushroom.', 'a photo of a fountain pen.', 'a photo of a grocery store.', 'a photo of a swim trunks / shorts.', 'a photo of a damselfly.', 'a photo of a goldfinch.', 'a photo of a silver salmon.', 'a photo of a trash can.', 'a photo of a Cairn Terrier.', 'a photo of a electric fan.', 'a photo of a sarong.', 'a photo of a prairie grouse.', 'a photo of a guinea pig.', 'a photo of a pirate ship.', 'a photo of a castle.', 'a photo of a trimaran.', 'a photo of a punching bag.', 'a photo of a backpack.', 'a photo of a grey fox.', 'a photo of a bell or wind chime.', 'a photo of a eastern hog-nosed snake.', 'a photo of a cauliflower.', 'a photo of a rifle.', 'a photo of a Irish Terrier.', 'a photo of a rock beauty fish.', 'a photo of a American bullfrog.', 'a photo of a bolo tie.', 'a photo of a tool kit.', 'a photo of a killer whale.', 'a photo of a chimpanzee.', 'a photo of a assault rifle.', 'a photo of a Appenzeller Sennenhund.', 'a photo of a water jug.', 'a photo of a Basset Hound.', 'a photo of a horse chestnut seed.', 'a photo of a Pembroke Welsh Corgi.', 'a photo of a cabbage.', 'a photo of a pug.', 'a photo of a rotary dial telephone.', 'a photo of a marmot.', 'a photo of a hoop skirt.', 'a photo of a pillow.', 'a photo of a filing cabinet.', 'a photo of a Rhodesian Ridgeback.', 'a photo of a slug.', 'a photo of a cheetah.', 'a photo of a dock.', 'a photo of a stopwatch.', 'a photo of a boathouse.', 'a photo of a beaver.', 'a photo of a jeans.', 'a photo of a abaya.', 'a photo of a T-shirt.', 'a photo of a little blue heron.', 'a photo of a banded gecko.', 'a photo of a macaw.', 'a photo of a sidewinder rattlesnake.', 'a photo of a barometer.', 'a photo of a sea lion.', 'a photo of a flute.', 'a photo of a cucumber.', 'a photo of a three-toed sloth.', 'a photo of a yellow garden spider.', 'a photo of a printer.', 'a photo of a hair dryer.', 'a photo of a honeycomb.', 'a photo of a gyromitra.', 'a photo of a lighthouse.', 'a photo of a forklift.', 'a photo of a fishing casting reel.', 'a photo of a vacuum cleaner.', 'a photo of a space shuttle.', 'a photo of a parking meter.', 'a photo of a magnetic compass.', 'a photo of a longhorn beetle.', 'a photo of a cocktail shaker.', 'a photo of a radio telescope.', 'a photo of a chain-link fence.', 'a photo of a piggy bank.', 'a photo of a china cabinet.', 'a photo of a African wild dog.', 'a photo of a ring-tailed lemur.', 'a photo of a pelican.', 'a photo of a taxicab.', 'a photo of a gorilla.', 'a photo of a sloth bear.', 'a photo of a candy store.', 'a photo of a soap dispenser.', 'a photo of a cassette.', 'a photo of a parachute.', 'a photo of a moped.', 'a photo of a product packet / packaging.', 'a photo of a academic gown.', 'a photo of a wild boar.', 'a photo of a plate rack.', 'a photo of a hermit crab.', 'a photo of a sawmill.', 'a photo of a Chow Chow.', 'a photo of a crayfish.', 'a photo of a airliner.', 'a photo of a gazelle.', 'a photo of a quilt.', 'a photo of a minivan.', 'a photo of a accordion.', 'a photo of a hair wig.', 'a photo of a hair spray.', 'a photo of a Dungeness crab.', 'a photo of a Miniature Schnauzer.', 'a photo of a clogs.', 'a photo of a Groenendael dog.', 'a photo of a tick.', 'a photo of a monitor.', 'a photo of a split-rail fence.', 'a photo of a ruler measuring stick.', 'a photo of a lion.', 'a photo of a electric ray.', 'a photo of a pole.', 'a photo of a ocean liner.', 'a photo of a hen of the woods mushroom.', 'a photo of a Irish Setter.', 'a photo of a cardigan.', 'a photo of a church.', 'a photo of a military uniform.', 'a photo of a banjo.', 'a photo of a thatched roof.', 'a photo of a broom.', 'a photo of a bulbul.', 'a photo of a West Highland White Terrier.', 'a photo of a stick insect.', 'a photo of a throne.', 'a photo of a platypus.', 'a photo of a barbell.', 'a photo of a hot pot.', 'a photo of a shoji screen / room divider.', "a photo of a Geoffroy's spider monkey.", 'a photo of a polar bear.', 'a photo of a torch.', 'a photo of a lifeboat.', 'a photo of a red king crab.', 'a photo of a digital watch.', 'a photo of a chickadee.', 'a photo of a langur.', 'a photo of a upright piano.', 'a photo of a toucan.', 'a photo of a Norfolk Terrier.', 'a photo of a quill.', 'a photo of a trifle.', 'a photo of a wheelbarrow.', 'a photo of a worm snake.', 'a photo of a plastic bag.', 'a photo of a valley.', 'a photo of a spindle.', 'a photo of a crutch.', 'a photo of a bathtub.', 'a photo of a tandem bicycle.', 'a photo of a sundial.', 'a photo of a bridegroom.', 'a photo of a pomegranate.', 'a photo of a missile.', 'a photo of a entertainment center.', 'a photo of a leafhopper.', 'a photo of a wardrobe.', 'a photo of a car mirror.', 'a photo of a corn.']
Loading evaluator: Classification
Note that load_model() is skipped as no pretrained model is given (ignore this if it's done on purpose)
Evaluate on the *test* set
=> result
* total: 35,000
* correct: 24,882
* accuracy: 71.09%
* error: 28.91%
* macro_f1: 70.54%
