***************
** Arguments **
***************
backbone: 
config_file: configs/trainers/CoOp/vit_b16_ep50_bs4.yaml
dataset_config_file: configs/datasets/oxford_flowers.yaml
eval_only: True
head: 
load_epoch: None
model_dir: 
no_train: False
opts: ['DATASET.SUBSAMPLE_CLASSES', 'new5']
output_dir: output/new5/ZeroshotCLIP/vit_b16_ep50_bs4/oxford_flowers/1
resume: 
root: /mnt/hdd/DATA
seed: 1
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: OxfordFlowers
  NUM_LABELED: -1
  NUM_SHOTS: -1
  ROOT: /mnt/hdd/DATA
  SOURCE_DOMAINS: ()
  STL10_FOLD: -1
  SUBSAMPLE_CLASSES: new5
  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/new5/ZeroshotCLIP/vit_b16_ep50_bs4/oxford_flowers/1
RESUME: 
SEED: 1
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: OxfordFlowers
Reading split from /mnt/hdd/DATA/oxford_flowers/split_zhou_OxfordFlowers.json
Loading preprocessed few-shot data from /mnt/hdd/DATA/oxford_flowers/split_fewshot/shot_-1_shuffled-seed_1.pkl
SUBSAMPLE NEW5 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    OxfordFlowers
# classes  102
# train_x  4,093
# val      1,633
# test     2,463
---------  -------------
Loading CLIP (backbone: ViT-B/16)
Prompts: ['a photo of a tree mallow, a type of flower.', 'a photo of a siam tulip, a type of flower.', 'a photo of a spring crocus, a type of flower.', 'a photo of a primula, a type of flower.', 'a photo of a english marigold, a type of flower.', 'a photo of a fire lily, a type of flower.', 'a photo of a lenten rose, a type of flower.', 'a photo of a globe thistle, a type of flower.', 'a photo of a snapdragon, a type of flower.', 'a photo of a ball moss, a type of flower.', 'a photo of a wallflower, a type of flower.', 'a photo of a cape flower, a type of flower.', 'a photo of a petunia, a type of flower.', 'a photo of a sword lily, a type of flower.', 'a photo of a bromelia, a type of flower.', 'a photo of a hibiscus, a type of flower.', 'a photo of a windflower, a type of flower.', 'a photo of a purple coneflower, a type of flower.', 'a photo of a pink-yellow dahlia, a type of flower.', 'a photo of a mexican aster, a type of flower.', 'a photo of a grape hyacinth, a type of flower.', 'a photo of a rose, a type of flower.', 'a photo of a watercress, a type of flower.', 'a photo of a blackberry lily, a type of flower.', 'a photo of a magnolia, a type of flower.', 'a photo of a tiger lily, a type of flower.', 'a photo of a bolero deep blue, a type of flower.', 'a photo of a toad lily, a type of flower.', 'a photo of a orange dahlia, a type of flower.', 'a photo of a clematis, a type of flower.', 'a photo of a red ginger, a type of flower.', 'a photo of a mallow, a type of flower.', 'a photo of a carnation, a type of flower.', 'a photo of a anthurium, a type of flower.', 'a photo of a corn poppy, a type of flower.', 'a photo of a wild pansy, a type of flower.', 'a photo of a garden phlox, a type of flower.', 'a photo of a great masterwort, a type of flower.', 'a photo of a buttercup, a type of flower.', 'a photo of a giant white arum lily, a type of flower.', 'a photo of a canna lily, a type of flower.', 'a photo of a foxglove, a type of flower.', 'a photo of a gazania, a type of flower.', 'a photo of a blanket flower, a type of flower.', 'a photo of a pincushion flower, a type of flower.', 'a photo of a bird of paradise, a type of flower.', 'a photo of a osteospermum, a type of flower.', 'a photo of a marigold, a type of flower.', 'a photo of a desert-rose, a type of flower.', "a photo of a colt's foot, a type of flower.", 'a photo of a moon orchid, a type of flower.', 'a photo of a daffodil, a type of flower.', 'a photo of a ruby-lipped cattleya, a type of flower.', 'a photo of a sunflower, a type of flower.', 'a photo of a hippeastrum, a type of flower.', 'a photo of a trumpet creeper, a type of flower.', 'a photo of a balloon flower, a type of flower.', 'a photo of a californian poppy, a type of flower.', 'a photo of a azalea, a type of flower.', 'a photo of a japanese anemone, a type of flower.', 'a photo of a poinsettia, a type of flower.', 'a photo of a yellow iris, a type of flower.', 'a photo of a fritillary, a type of flower.', 'a photo of a frangipani, a type of flower.', 'a photo of a camellia, a type of flower.', 'a photo of a gaura, a type of flower.', 'a photo of a artichoke, a type of flower.', 'a photo of a bearded iris, a type of flower.', 'a photo of a thorn apple, a type of flower.', 'a photo of a pelargonium, a type of flower.', 'a photo of a stemless gentian, a type of flower.', 'a photo of a bee balm, a type of flower.', 'a photo of a hard-leaved pocket orchid, a type of flower.', 'a photo of a tree poppy, a type of flower.', 'a photo of a passion flower, a type of flower.', 'a photo of a canterbury bells, a type of flower.', 'a photo of a cyclamen, a type of flower.', 'a photo of a barbeton daisy, a type of flower.', 'a photo of a spear thistle, a type of flower.', 'a photo of a morning glory, a type of flower.', 'a photo of a sweet william, a type of flower.', 'a photo of a alpine sea holly, a type of flower.', 'a photo of a bougainvillea, a type of flower.', 'a photo of a pink primrose, a type of flower.', 'a photo of a lotus, a type of flower.', 'a photo of a bishop of llandaff, a type of flower.', 'a photo of a common dandelion, a type of flower.', 'a photo of a sweet pea, a type of flower.', 'a photo of a black-eyed susan, a type of flower.', 'a photo of a king protea, a type of flower.', 'a photo of a prince of wales feathers, a type of flower.', 'a photo of a oxeye daisy, a type of flower.', 'a photo of a columbine, a type of flower.', 'a photo of a cautleya spicata, a type of flower.', 'a photo of a geranium, a type of flower.', 'a photo of a silverbush, a type of flower.', 'a photo of a globe-flower, a type of flower.', 'a photo of a love in the mist, a type of flower.', 'a photo of a monkshood, a type of flower.', 'a photo of a mexican petunia, a type of flower.', 'a photo of a water lily, a type of flower.', 'a photo of a peruvian lily, a type of flower.']
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: 2,463
* correct: 1,743
* accuracy: 70.77%
* error: 29.23%
* macro_f1: 64.72%
