***************
** Arguments **
***************
backbone: 
config_file: configs/trainers/CoOp/vit_b16_ep50_bs4.yaml
dataset_config_file: configs/datasets/stanford_cars.yaml
eval_only: True
head: 
load_epoch: None
model_dir: 
no_train: False
opts: ['DATASET.SUBSAMPLE_CLASSES', 'new_ratio5']
output_dir: output/new_ratio5/ZeroshotCLIP/vit_b16_ep50_bs4/stanford_cars/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: StanfordCars
  NUM_LABELED: -1
  NUM_SHOTS: -1
  ROOT: /mnt/hdd/DATA
  SOURCE_DOMAINS: ()
  STL10_FOLD: -1
  SUBSAMPLE_CLASSES: new_ratio5
  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/new_ratio5/ZeroshotCLIP/vit_b16_ep50_bs4/stanford_cars/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:                 97%
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: StanfordCars
Reading split from /mnt/hdd/DATA/stanford_cars/split_zhou_StanfordCars.json
Loading preprocessed few-shot data from /mnt/hdd/DATA/stanford_cars/split_fewshot/shot_-1_shuffled-seed_2.pkl
SUBSAMPLE NEW_RATIO5 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    StanfordCars
# classes  98
# train_x  3,269
# val      823
# test     4,038
---------  ------------
Loading CLIP (backbone: ViT-B/16)
Prompts: ['a photo of a 2006 Ford GT Coupe.', 'a photo of a 2012 Tesla Model S Sedan.', 'a photo of a 2012 Ferrari 458 Italia Coupe.', 'a photo of a 2010 Chevrolet Malibu Hybrid Sedan.', 'a photo of a 2010 HUMMER H3T Crew Cab.', 'a photo of a 2012 Toyota Corolla Sedan.', 'a photo of a 2012 Lamborghini Gallardo LP 570-4 Superleggera.', 'a photo of a 2012 Hyundai Elantra Touring Hatchback.', 'a photo of a 2012 Bentley Continental Supersports Conv. Convertible.', 'a photo of a 2009 Bentley Arnage Sedan.', 'a photo of a 2012 Chevrolet Tahoe Hybrid SUV.', 'a photo of a 2012 FIAT 500 Abarth.', 'a photo of a 2012 Land Rover Range Rover SUV.', 'a photo of a 1991 Volkswagen Golf Hatchback.', 'a photo of a 2012 Ford F-150 Regular Cab.', 'a photo of a 1993 Volvo 240 Sedan.', 'a photo of a 2012 Jeep Wrangler SUV.', 'a photo of a 2012 Hyundai Veracruz SUV.', 'a photo of a 2012 Fisker Karma Sedan.', 'a photo of a 2012 Suzuki Kizashi Sedan.', 'a photo of a 2012 BMW 3 Series Sedan.', 'a photo of a 1997 Dodge Caravan Minivan.', 'a photo of a 2012 Chevrolet Sonic Sedan.', 'a photo of a 2012 Chevrolet Camaro Convertible.', 'a photo of a 2012 Jeep Patriot SUV.', 'a photo of a 2012 Hyundai Sonata Hybrid Sedan.', 'a photo of a 2012 GMC Terrain SUV.', 'a photo of a 2011 Infiniti QX56 SUV.', 'a photo of a 2007 Chevrolet Malibu Sedan.', 'a photo of a 2010 Dodge Dakota Crew Cab.', 'a photo of a 2012 Hyundai Sonata Sedan.', 'a photo of a 2012 Ford Fiesta Sedan.', 'a photo of a 2008 Isuzu Ascender SUV.', 'a photo of a 2012 Porsche Panamera Sedan.', 'a photo of a 2012 Honda Accord Coupe.', 'a photo of a 2007 Chevrolet Monte Carlo Coupe.', 'a photo of a 2012 Honda Odyssey Minivan.', 'a photo of a 2007 Chevrolet Express Cargo Van.', 'a photo of a 2012 Hyundai Accent Sedan.', 'a photo of a 2012 GMC Savana Van.', 'a photo of a 2012 Ferrari 458 Italia Convertible.', 'a photo of a 2012 Bentley Continental GT Coupe.', 'a photo of a 2012 Jeep Liberty SUV.', 'a photo of a 2012 Lamborghini Aventador Coupe.', 'a photo of a 2007 Dodge Dakota Club Cab.', 'a photo of a 2012 Nissan NV Passenger Van.', 'a photo of a 2009 Spyker C8 Convertible.', 'a photo of a 2007 Ford Mustang Convertible.', 'a photo of a 2007 Ford Focus Sedan.', 'a photo of a 2012 Buick Regal GS.', 'a photo of a 2012 Mercedes-Benz C-Class Sedan.', 'a photo of a 2012 Hyundai Tucson SUV.', 'a photo of a 2012 Volvo C30 Hatchback.', 'a photo of a 2001 Lamborghini Diablo Coupe.', 'a photo of a 2012 Rolls-Royce Phantom Sedan.', 'a photo of a 2010 BMW M5 Sedan.', 'a photo of a 2009 Bugatti Veyron 16.4 Convertible.', 'a photo of a 2007 Dodge Caliber Wagon.', 'a photo of a 1993 Mercedes-Benz 300-Class Convertible.', 'a photo of a 2012 Acura ZDX Hatchback.', 'a photo of a 2010 Chevrolet HHR SS.', 'a photo of a 2007 Chevrolet Impala Sedan.', 'a photo of a 2009 Bugatti Veyron 16.4 Coupe.', 'a photo of a 2012 Jaguar XK XKR.', 'a photo of a 2007 Bentley Continental GT Coupe.', 'a photo of a 2007 Hyundai Elantra Sedan.', 'a photo of a 2009 Ford Expedition EL SUV.', 'a photo of a 1998 Eagle Talon Hatchback.', 'a photo of a 2002 Daewoo Nubira Wagon.', 'a photo of a 2012 GMC Yukon Hybrid SUV.', 'a photo of a 2012 Dodge Durango SUV.', 'a photo of a 2012 Aston Martin V8 Vantage Convertible.', 'a photo of a 2012 Suzuki SX4 Sedan.', 'a photo of a 2012 Chevrolet Silverado 2500HD Regular Cab.', 'a photo of a 2012 Honda Accord Sedan.', 'a photo of a 2007 Ford F-150 Regular Cab.', 'a photo of a 2012 Hyundai Azera Sedan.', 'a photo of a 2012 Dodge Charger Sedan.', 'a photo of a 2012 Hyundai Santa Fe SUV.', 'a photo of a 2012 Ferrari FF Coupe.', 'a photo of a 2012 Mercedes-Benz E-Class Sedan.', 'a photo of a 2011 Ford Ranger SuperCab.', 'a photo of a 2011 Bentley Mulsanne Sedan.', 'a photo of a 2012 Rolls-Royce Phantom Drophead Coupe Convertible.', 'a photo of a 2012 Jeep Compass SUV.', 'a photo of a 2012 Aston Martin Virage Convertible.', 'a photo of a 2012 Toyota Camry Sedan.', 'a photo of a 2012 Chevrolet Corvette Convertible.', 'a photo of a 2011 Lincoln Town Car Sedan.', 'a photo of a 2012 Chevrolet Avalanche Crew Cab.', 'a photo of a 2010 Chrysler 300 SRT-8.', 'a photo of a 1999 Plymouth Neon Coupe.', 'a photo of a 2012 Toyota 4Runner SUV.', 'a photo of a 2007 Bentley Continental Flying Spur Sedan.', 'a photo of a 2011 Dodge Challenger SRT8.', 'a photo of a 2012 Audi S5 Coupe.', 'a photo of a 2007 Audi S4 Sedan.', 'a photo of a 2012 Audi R8 Coupe.']
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: 4,038
* correct: 3,017
* accuracy: 74.72%
* error: 25.28%
* macro_f1: 73.26%
