[05/04 15:50:44] fastreid INFO: Rank of current process: 0. World size: 4
[05/04 15:50:44] fastreid INFO: Environment info:
----------------------  ----------------------------------------------------------------------------------------------
sys.platform            linux
Python                  3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]
numpy                   1.25.2
fastreid                0.1.0 @/home/ma-user/work/Projects/ReIDNet_Finetune/FastReID/./fastreid
FASTREID_ENV_MODULE     <not set>
PyTorch                 1.12.1+cu113 @/home/ma-user/anaconda3/envs/Generate3D/lib/python3.10/site-packages/torch
PyTorch debug build     False
GPU available           True
GPU 0,1,2,3             Tesla V100S-PCIE-32GB
CUDA_HOME               /usr/local/cuda
Pillow                  10.1.0
torchvision             0.13.1+cu113 @/home/ma-user/anaconda3/envs/Generate3D/lib/python3.10/site-packages/torchvision
torchvision arch flags  sm_35, sm_50, sm_60, sm_70, sm_75, sm_80, sm_86
fvcore                  0.1.5.post20221221
cv2                     4.8.0
----------------------  ----------------------------------------------------------------------------------------------
PyTorch built with:
  - GCC 9.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.3
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86
  - CuDNN 8.5  (built against CUDA 11.7)
    - Built with CuDNN 8.3.2
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

[05/04 15:50:44] fastreid INFO: Command line arguments: Namespace(config_file='configs/CMDM/market1501_mgn_R101ibn_lion.yml', finetune=False, resume=False, eval_only=False, num_gpus=4, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:35421', opts=[])
[05/04 15:50:44] fastreid INFO: Contents of args.config_file=configs/CMDM/market1501_mgn_R101ibn_lion.yml:
_BASE_: "../Base-MGN.yml"

MODEL:
  BACKBONE:
    WITH_IBN: True
    EXTRA_BN: True
    DEPTH: "101x"
    PRETRAIN_PATH: "/home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet101_IBN.pth"
  PIXEL_MEAN: [123.675, 116.280, 103.530]
  PIXEL_STD: [58.395, 57.120, 57.375]

INPUT:
  REA:
    MEAN: [0.0, 0.0, 0.0]
  DO_AUTOAUG: False

SOLVER:
  HEADS_LR_FACTOR: 1.0
  BACKBONE_BN_LR_FACTOR: 1.0
  CHECKPOINT_PERIOD: -1

DATASETS:
  NAMES: ("CMDM",)
  TESTS: ("CMDM",)
  KWARGS: 'data_name:market+split_mode:id+split_ratio:1.0'
  ROOT: "/home/ma-user/work/Datasets/ImageReID_Datasets/mixreid"

TEST:
  EVAL_PERIOD: 60

OUTPUT_DIR: "logs/market/ResNet101IBN_LION_MGN"

[05/04 15:50:44] fastreid INFO: Running with full config:
CUDNN_BENCHMARK: True
DATALOADER:
  NAIVE_WAY: True
  NUM_INSTANCE: 16
  NUM_WORKERS: 8
  PK_SAMPLER: True
DATASETS:
  COMBINEALL: False
  IS_LMDB: False
  KWARGS: data_name:market+split_mode:id+split_ratio:1.0
  NAMES: ('CMDM',)
  ROOT: /home/ma-user/work/Datasets/ImageReID_Datasets/mixreid
  TESTS: ('CMDM',)
INPUT:
  CJ:
    BRIGHTNESS: 0.15
    CONTRAST: 0.15
    ENABLED: False
    HUE: 0.1
    PROB: 0.8
    SATURATION: 0.1
  DO_AUGMIX: False
  DO_AUTOAUG: False
  DO_FLIP: True
  DO_PAD: True
  FLIP_PROB: 0.5
  PADDING: 10
  PADDING_MODE: constant
  REA:
    ENABLED: True
    MEAN: [0.0, 0.0, 0.0]
    PROB: 0.5
  RPT:
    ENABLED: False
    PROB: 0.5
  SIZE_TEST: [384, 128]
  SIZE_TRAIN: [384, 128]
MODEL:
  BACKBONE:
    DEPTH: 101x
    EXTRA_BN: True
    FEAT_DIM: 2048
    LAST_STRIDE: 1
    NAME: build_resnet_backbone
    NORM: BN
    PRETRAIN: True
    PRETRAIN_PATH: /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet101_IBN.pth
    WITH_IBN: True
    WITH_NL: False
    WITH_SE: False
  DEVICE: cuda
  FREEZE_LAYERS: ['backbone', 'b1', 'b2', 'b3']
  HEADS:
    CLS_LAYER: circleSoftmax
    EMBEDDING_DIM: 256
    MARGIN: 0.35
    NAME: EmbeddingHead
    NECK_FEAT: after
    NORM: BN
    NUM_CLASSES: 0
    POOL_LAYER: gempoolP
    SCALE: 64
    WITH_BNNECK: True
  LOSSES:
    CE:
      ALPHA: 0.2
      EPSILON: 0.1
      SCALE: 1.0
    CIRCLE:
      ALPHA: 128
      MARGIN: 0.25
      SCALE: 1.0
    FL:
      ALPHA: 0.25
      GAMMA: 2
      SCALE: 1.0
    NAME: ('CrossEntropyLoss', 'TripletLoss')
    TRI:
      HARD_MINING: True
      MARGIN: 0.0
      NORM_FEAT: False
      SCALE: 1.0
  META_ARCHITECTURE: MGN
  PIXEL_MEAN: [123.675, 116.28, 103.53]
  PIXEL_STD: [58.395, 57.12, 57.375]
  WEIGHTS: 
OUTPUT_DIR: logs/market/ResNet101IBN_LION_MGN
SOLVER:
  AMP_ENABLED: False
  BACKBONE_BN_LR_FACTOR: 1.0
  BASE_LR: 0.00035
  BIAS_LR_FACTOR: 1.0
  CHECKPOINT_PERIOD: -1
  DELAY_ITERS: 30
  ETA_MIN_LR: 7.7e-07
  FREEZE_ITERS: 10
  GAMMA: 0.1
  HEADS_LR_FACTOR: 1.0
  IMS_PER_BATCH: 64
  MAX_ITER: 60
  MOMENTUM: 0.9
  OPT: Adam
  SCHED: WarmupCosineAnnealingLR
  STEPS: [40, 90]
  SWA:
    ENABLED: False
    ETA_MIN_LR: 3.5e-06
    ITER: 10
    LR_FACTOR: 10.0
    LR_SCHED: False
    PERIOD: 2
  WARMUP_FACTOR: 0.01
  WARMUP_ITERS: 10
  WARMUP_METHOD: linear
  WEIGHT_DECAY: 0.0005
  WEIGHT_DECAY_BIAS: 0.0005
TEST:
  AQE:
    ALPHA: 3.0
    ENABLED: False
    QE_K: 5
    QE_TIME: 1
  EVAL_PERIOD: 60
  IMS_PER_BATCH: 128
  METRIC: cosine
  PRECISE_BN:
    DATASET: Market1501
    ENABLED: False
    NUM_ITER: 300
  RERANK:
    ENABLED: False
    K1: 20
    K2: 6
    LAMBDA: 0.3
  ROC_ENABLED: False
[05/04 15:50:44] fastreid INFO: Full config saved to /home/ma-user/work/Projects/ReIDNet_Finetune/FastReID/logs/market/ResNet101IBN_LION_MGN/config.yaml
[05/04 15:50:44] fastreid.utils.env INFO: Using a generated random seed 48224633
[05/04 15:50:44] fastreid.engine.defaults INFO: Prepare training set
[05/04 15:50:45] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| train    | 751     | 12936      | 6           |[0m
[05/04 15:50:45] fastreid.engine.defaults INFO: Auto-scaling the config to num_classes=751, max_Iter=12120, wamrup_Iter=2020, freeze_Iter=2020, delay_Iter=6060, step_Iter=[8080, 18180], ckpt_Iter=-203, eval_Iter=12200.
[05/04 15:50:46] fastreid.modeling.backbones.resnet INFO: Loading pretrained model from /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet101_IBN.pth
[05/04 15:51:05] fastreid.engine.defaults INFO: Freeze layer group "backbone,b1,b2,b3" training for 2020 iterations
[05/04 15:51:05] fastreid.utils.checkpoint INFO: No checkpoint found. Training model from scratch
[05/04 15:51:05] fastreid.engine.train_loop INFO: Starting training from iteration 0
[05/04 15:52:54] fastreid.utils.events INFO:  eta: 1:41:56  iter: 199  total_loss: 55.29  loss_cls_b1: 6.279  loss_cls_b2: 6.269  loss_cls_b21: 6.291  loss_cls_b22: 6.247  loss_cls_b3: 6.418  loss_cls_b31: 6.31  loss_cls_b32: 6.292  loss_cls_b33: 6.421  loss_triplet_b1: 0.7743  loss_triplet_b2: 0.748  loss_triplet_b3: 0.7295  loss_triplet_b22: 1.043  loss_triplet_b33: 1.449  time: 0.5171  data_time: 0.0005  lr: 3.76e-05  max_mem: 20455M
[05/04 15:54:38] fastreid.utils.events INFO:  eta: 1:40:04  iter: 399  total_loss: 53.76  loss_cls_b1: 6.208  loss_cls_b2: 6.17  loss_cls_b21: 6.11  loss_cls_b22: 6.352  loss_cls_b3: 6.108  loss_cls_b31: 6.224  loss_cls_b32: 6.232  loss_cls_b33: 6.256  loss_triplet_b1: 0.6757  loss_triplet_b2: 0.6916  loss_triplet_b3: 0.6552  loss_triplet_b22: 0.9067  loss_triplet_b33: 1.291  time: 0.5145  data_time: 0.0005  lr: 7.19e-05  max_mem: 20455M
[05/04 15:56:21] fastreid.utils.events INFO:  eta: 1:38:20  iter: 599  total_loss: 52.78  loss_cls_b1: 6.068  loss_cls_b2: 6.106  loss_cls_b21: 6.169  loss_cls_b22: 6.083  loss_cls_b3: 6.09  loss_cls_b31: 6.112  loss_cls_b32: 5.927  loss_cls_b33: 6.216  loss_triplet_b1: 0.5938  loss_triplet_b2: 0.6325  loss_triplet_b3: 0.596  loss_triplet_b22: 0.8503  loss_triplet_b33: 1.094  time: 0.5142  data_time: 0.0005  lr: 1.06e-04  max_mem: 20455M
[05/04 15:58:05] fastreid.utils.events INFO:  eta: 1:36:39  iter: 799  total_loss: 49.91  loss_cls_b1: 5.722  loss_cls_b2: 5.856  loss_cls_b21: 5.786  loss_cls_b22: 5.687  loss_cls_b3: 5.83  loss_cls_b31: 5.806  loss_cls_b32: 5.871  loss_cls_b33: 5.969  loss_triplet_b1: 0.555  loss_triplet_b2: 0.5567  loss_triplet_b3: 0.5274  loss_triplet_b22: 0.7611  loss_triplet_b33: 1.121  time: 0.5140  data_time: 0.0005  lr: 1.41e-04  max_mem: 20455M
[05/04 15:59:48] fastreid.utils.events INFO:  eta: 1:34:54  iter: 999  total_loss: 47.98  loss_cls_b1: 5.527  loss_cls_b2: 5.363  loss_cls_b21: 5.449  loss_cls_b22: 5.673  loss_cls_b3: 5.377  loss_cls_b31: 5.75  loss_cls_b32: 5.612  loss_cls_b33: 5.615  loss_triplet_b1: 0.5096  loss_triplet_b2: 0.503  loss_triplet_b3: 0.5256  loss_triplet_b22: 0.7302  loss_triplet_b33: 0.9807  time: 0.5135  data_time: 0.0005  lr: 1.75e-04  max_mem: 20455M
[05/04 16:01:31] fastreid.utils.events INFO:  eta: 1:33:09  iter: 1199  total_loss: 43.38  loss_cls_b1: 5.051  loss_cls_b2: 4.951  loss_cls_b21: 5.107  loss_cls_b22: 5.164  loss_cls_b3: 4.999  loss_cls_b31: 5.126  loss_cls_b32: 5.068  loss_cls_b33: 5.329  loss_triplet_b1: 0.4771  loss_triplet_b2: 0.4391  loss_triplet_b3: 0.4276  loss_triplet_b22: 0.5499  loss_triplet_b33: 0.7113  time: 0.5135  data_time: 0.0005  lr: 2.09e-04  max_mem: 20455M
[05/04 16:03:14] fastreid.utils.events INFO:  eta: 1:31:26  iter: 1399  total_loss: 38.06  loss_cls_b1: 4.404  loss_cls_b2: 4.375  loss_cls_b21: 4.566  loss_cls_b22: 4.586  loss_cls_b3: 4.361  loss_cls_b31: 4.67  loss_cls_b32: 4.647  loss_cls_b33: 4.694  loss_triplet_b1: 0.3267  loss_triplet_b2: 0.32  loss_triplet_b3: 0.3527  loss_triplet_b22: 0.4729  loss_triplet_b33: 0.581  time: 0.5133  data_time: 0.0005  lr: 2.43e-04  max_mem: 20455M
[05/04 16:04:57] fastreid.utils.events INFO:  eta: 1:29:43  iter: 1599  total_loss: 36.7  loss_cls_b1: 4.115  loss_cls_b2: 4.158  loss_cls_b21: 4.378  loss_cls_b22: 4.335  loss_cls_b3: 4.256  loss_cls_b31: 4.358  loss_cls_b32: 4.244  loss_cls_b33: 4.481  loss_triplet_b1: 0.3821  loss_triplet_b2: 0.3971  loss_triplet_b3: 0.3801  loss_triplet_b22: 0.5138  loss_triplet_b33: 0.5946  time: 0.5132  data_time: 0.0005  lr: 2.78e-04  max_mem: 20455M
[05/04 16:06:41] fastreid.utils.events INFO:  eta: 1:28:00  iter: 1799  total_loss: 31.54  loss_cls_b1: 3.619  loss_cls_b2: 3.652  loss_cls_b21: 3.712  loss_cls_b22: 3.777  loss_cls_b3: 3.588  loss_cls_b31: 3.898  loss_cls_b32: 3.889  loss_cls_b33: 4.077  loss_triplet_b1: 0.26  loss_triplet_b2: 0.2838  loss_triplet_b3: 0.2768  loss_triplet_b22: 0.3121  loss_triplet_b33: 0.4811  time: 0.5132  data_time: 0.0005  lr: 3.12e-04  max_mem: 20455M
[05/04 16:08:24] fastreid.utils.events INFO:  eta: 1:26:19  iter: 1999  total_loss: 28.91  loss_cls_b1: 3.153  loss_cls_b2: 3.137  loss_cls_b21: 3.351  loss_cls_b22: 3.448  loss_cls_b3: 3.215  loss_cls_b31: 3.585  loss_cls_b32: 3.513  loss_cls_b33: 3.655  loss_triplet_b1: 0.1918  loss_triplet_b2: 0.2289  loss_triplet_b3: 0.2103  loss_triplet_b22: 0.2363  loss_triplet_b33: 0.333  time: 0.5132  data_time: 0.0005  lr: 3.46e-04  max_mem: 20455M
[05/04 16:10:23] fastreid.utils.events INFO:  eta: 1:24:46  iter: 2199  total_loss: 29.59  loss_cls_b1: 3.361  loss_cls_b2: 3.22  loss_cls_b21: 3.696  loss_cls_b22: 3.554  loss_cls_b3: 3.237  loss_cls_b31: 3.719  loss_cls_b32: 3.554  loss_cls_b33: 3.904  loss_triplet_b1: 0.2633  loss_triplet_b2: 0.2522  loss_triplet_b3: 0.2196  loss_triplet_b22: 0.3403  loss_triplet_b33: 0.3071  time: 0.5196  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:12:24] fastreid.utils.events INFO:  eta: 1:23:29  iter: 2399  total_loss: 26.17  loss_cls_b1: 2.923  loss_cls_b2: 2.859  loss_cls_b21: 3.09  loss_cls_b22: 3.131  loss_cls_b3: 2.854  loss_cls_b31: 3.291  loss_cls_b32: 3.129  loss_cls_b33: 3.307  loss_triplet_b1: 0.167  loss_triplet_b2: 0.1376  loss_triplet_b3: 0.1324  loss_triplet_b22: 0.1384  loss_triplet_b33: 0.183  time: 0.5255  data_time: 0.0006  lr: 3.50e-04  max_mem: 20455M
[05/04 16:14:24] fastreid.utils.events INFO:  eta: 1:32:43  iter: 2599  total_loss: 22.79  loss_cls_b1: 2.62  loss_cls_b2: 2.539  loss_cls_b21: 2.883  loss_cls_b22: 2.984  loss_cls_b3: 2.453  loss_cls_b31: 3.086  loss_cls_b32: 2.724  loss_cls_b33: 3.3  loss_triplet_b1: 0.08385  loss_triplet_b2: 0.06267  loss_triplet_b3: 0.04871  loss_triplet_b22: 0.06542  loss_triplet_b33: 0.08081  time: 0.5305  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:16:25] fastreid.utils.events INFO:  eta: 1:31:06  iter: 2799  total_loss: 21.03  loss_cls_b1: 2.285  loss_cls_b2: 2.258  loss_cls_b21: 2.587  loss_cls_b22: 2.741  loss_cls_b3: 2.319  loss_cls_b31: 2.975  loss_cls_b32: 2.591  loss_cls_b33: 3.004  loss_triplet_b1: 0.07116  loss_triplet_b2: 0.0838  loss_triplet_b3: 0.07332  loss_triplet_b22: 0.05728  loss_triplet_b33: 0.1013  time: 0.5345  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:18:25] fastreid.utils.events INFO:  eta: 1:29:17  iter: 2999  total_loss: 19.33  loss_cls_b1: 2.155  loss_cls_b2: 2.117  loss_cls_b21: 2.449  loss_cls_b22: 2.525  loss_cls_b3: 2.139  loss_cls_b31: 2.687  loss_cls_b32: 2.328  loss_cls_b33: 2.837  loss_triplet_b1: 0.08036  loss_triplet_b2: 0.04854  loss_triplet_b3: 0.05067  loss_triplet_b22: 0.06149  loss_triplet_b33: 0.07263  time: 0.5381  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:20:25] fastreid.utils.events INFO:  eta: 1:27:20  iter: 3199  total_loss: 18.14  loss_cls_b1: 1.975  loss_cls_b2: 1.887  loss_cls_b21: 2.368  loss_cls_b22: 2.299  loss_cls_b3: 1.837  loss_cls_b31: 2.595  loss_cls_b32: 2.219  loss_cls_b33: 2.665  loss_triplet_b1: 0.04352  loss_triplet_b2: 0.03335  loss_triplet_b3: 0.027  loss_triplet_b22: 0.04875  loss_triplet_b33: 0.02723  time: 0.5412  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:22:26] fastreid.utils.events INFO:  eta: 1:25:21  iter: 3399  total_loss: 17.13  loss_cls_b1: 1.847  loss_cls_b2: 1.778  loss_cls_b21: 2.181  loss_cls_b22: 2.125  loss_cls_b3: 1.843  loss_cls_b31: 2.446  loss_cls_b32: 2.074  loss_cls_b33: 2.468  loss_triplet_b1: 0.04653  loss_triplet_b2: 0.04126  loss_triplet_b3: 0.04863  loss_triplet_b22: 0.03906  loss_triplet_b33: 0.04969  time: 0.5441  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:24:26] fastreid.utils.events INFO:  eta: 1:23:23  iter: 3599  total_loss: 15.51  loss_cls_b1: 1.655  loss_cls_b2: 1.648  loss_cls_b21: 1.979  loss_cls_b22: 2.047  loss_cls_b3: 1.599  loss_cls_b31: 2.178  loss_cls_b32: 1.944  loss_cls_b33: 2.403  loss_triplet_b1: 0.04223  loss_triplet_b2: 0.03066  loss_triplet_b3: 0.03786  loss_triplet_b22: 0.02295  loss_triplet_b33: 0.02848  time: 0.5465  data_time: 0.0006  lr: 3.50e-04  max_mem: 20455M
[05/04 16:26:26] fastreid.utils.events INFO:  eta: 1:21:29  iter: 3799  total_loss: 15.35  loss_cls_b1: 1.713  loss_cls_b2: 1.544  loss_cls_b21: 2.01  loss_cls_b22: 1.931  loss_cls_b3: 1.591  loss_cls_b31: 2.266  loss_cls_b32: 1.81  loss_cls_b33: 2.45  loss_triplet_b1: 0.03788  loss_triplet_b2: 0.02052  loss_triplet_b3: 0.02092  loss_triplet_b22: 0.01669  loss_triplet_b33: 0.01321  time: 0.5488  data_time: 0.0006  lr: 3.50e-04  max_mem: 20455M
[05/04 16:28:27] fastreid.utils.events INFO:  eta: 1:19:32  iter: 3999  total_loss: 15.58  loss_cls_b1: 1.553  loss_cls_b2: 1.502  loss_cls_b21: 1.887  loss_cls_b22: 1.936  loss_cls_b3: 1.573  loss_cls_b31: 2.126  loss_cls_b32: 1.82  loss_cls_b33: 2.383  loss_triplet_b1: 0.03978  loss_triplet_b2: 0.03445  loss_triplet_b3: 0.04413  loss_triplet_b22: 0.04288  loss_triplet_b33: 0.05416  time: 0.5508  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:30:27] fastreid.utils.events INFO:  eta: 1:17:33  iter: 4199  total_loss: 14.27  loss_cls_b1: 1.498  loss_cls_b2: 1.424  loss_cls_b21: 1.845  loss_cls_b22: 1.789  loss_cls_b3: 1.422  loss_cls_b31: 2.093  loss_cls_b32: 1.741  loss_cls_b33: 2.099  loss_triplet_b1: 0.04788  loss_triplet_b2: 0.04242  loss_triplet_b3: 0.03169  loss_triplet_b22: 0.02674  loss_triplet_b33: 0.02115  time: 0.5526  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:32:27] fastreid.utils.events INFO:  eta: 1:15:35  iter: 4399  total_loss: 13.95  loss_cls_b1: 1.489  loss_cls_b2: 1.354  loss_cls_b21: 1.787  loss_cls_b22: 1.687  loss_cls_b3: 1.398  loss_cls_b31: 1.941  loss_cls_b32: 1.776  loss_cls_b33: 2.098  loss_triplet_b1: 0.02533  loss_triplet_b2: 0.01469  loss_triplet_b3: 0.01527  loss_triplet_b22: 0.01062  loss_triplet_b33: 0.02393  time: 0.5543  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:34:27] fastreid.utils.events INFO:  eta: 1:13:38  iter: 4599  total_loss: 13.02  loss_cls_b1: 1.357  loss_cls_b2: 1.348  loss_cls_b21: 1.733  loss_cls_b22: 1.829  loss_cls_b3: 1.348  loss_cls_b31: 1.995  loss_cls_b32: 1.689  loss_cls_b33: 2.113  loss_triplet_b1: 0.02825  loss_triplet_b2: 0.02912  loss_triplet_b3: 0.02015  loss_triplet_b22: 0.02002  loss_triplet_b33: 0.01273  time: 0.5557  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:36:28] fastreid.utils.events INFO:  eta: 1:11:40  iter: 4799  total_loss: 13.13  loss_cls_b1: 1.339  loss_cls_b2: 1.215  loss_cls_b21: 1.688  loss_cls_b22: 1.741  loss_cls_b3: 1.239  loss_cls_b31: 1.971  loss_cls_b32: 1.7  loss_cls_b33: 2.001  loss_triplet_b1: 0.03236  loss_triplet_b2: 0.03173  loss_triplet_b3: 0.02277  loss_triplet_b22: 0.0294  loss_triplet_b33: 0.04247  time: 0.5572  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:38:29] fastreid.utils.events INFO:  eta: 1:09:45  iter: 4999  total_loss: 12.29  loss_cls_b1: 1.224  loss_cls_b2: 1.154  loss_cls_b21: 1.491  loss_cls_b22: 1.563  loss_cls_b3: 1.204  loss_cls_b31: 1.738  loss_cls_b32: 1.543  loss_cls_b33: 1.972  loss_triplet_b1: 0.02446  loss_triplet_b2: 0.02133  loss_triplet_b3: 0.01544  loss_triplet_b22: 0.01423  loss_triplet_b33: 0.01941  time: 0.5585  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:40:29] fastreid.utils.events INFO:  eta: 1:07:47  iter: 5199  total_loss: 11.79  loss_cls_b1: 1.141  loss_cls_b2: 1.058  loss_cls_b21: 1.446  loss_cls_b22: 1.537  loss_cls_b3: 1.096  loss_cls_b31: 1.783  loss_cls_b32: 1.544  loss_cls_b33: 1.834  loss_triplet_b1: 0.04304  loss_triplet_b2: 0.02639  loss_triplet_b3: 0.033  loss_triplet_b22: 0.02939  loss_triplet_b33: 0.04129  time: 0.5597  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:42:30] fastreid.utils.events INFO:  eta: 1:05:50  iter: 5399  total_loss: 11.31  loss_cls_b1: 1.077  loss_cls_b2: 1.091  loss_cls_b21: 1.367  loss_cls_b22: 1.496  loss_cls_b3: 1.079  loss_cls_b31: 1.599  loss_cls_b32: 1.438  loss_cls_b33: 1.987  loss_triplet_b1: 0.01666  loss_triplet_b2: 0.0119  loss_triplet_b3: 0.01646  loss_triplet_b22: 0.01191  loss_triplet_b33: 0.01111  time: 0.5608  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:44:31] fastreid.utils.events INFO:  eta: 1:03:53  iter: 5599  total_loss: 10.76  loss_cls_b1: 1.061  loss_cls_b2: 0.9718  loss_cls_b21: 1.436  loss_cls_b22: 1.413  loss_cls_b3: 1.037  loss_cls_b31: 1.624  loss_cls_b32: 1.392  loss_cls_b33: 1.729  loss_triplet_b1: 0.01926  loss_triplet_b2: 0.01743  loss_triplet_b3: 0.01657  loss_triplet_b22: 0.01796  loss_triplet_b33: 0.01859  time: 0.5618  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:46:31] fastreid.utils.events INFO:  eta: 1:01:55  iter: 5799  total_loss: 10.25  loss_cls_b1: 0.9416  loss_cls_b2: 0.9212  loss_cls_b21: 1.298  loss_cls_b22: 1.302  loss_cls_b3: 0.9046  loss_cls_b31: 1.585  loss_cls_b32: 1.303  loss_cls_b33: 1.626  loss_triplet_b1: 0.01951  loss_triplet_b2: 0.0193  loss_triplet_b3: 0.02247  loss_triplet_b22: 0.0193  loss_triplet_b33: 0.01224  time: 0.5628  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:48:33] fastreid.utils.events INFO:  eta: 0:59:58  iter: 5999  total_loss: 9.785  loss_cls_b1: 0.9342  loss_cls_b2: 0.9122  loss_cls_b21: 1.175  loss_cls_b22: 1.234  loss_cls_b3: 0.8576  loss_cls_b31: 1.451  loss_cls_b32: 1.203  loss_cls_b33: 1.563  loss_triplet_b1: 0.01599  loss_triplet_b2: 0.01034  loss_triplet_b3: 0.009091  loss_triplet_b22: 0.01336  loss_triplet_b33: 0.006564  time: 0.5637  data_time: 0.0006  lr: 3.50e-04  max_mem: 20455M
[05/04 16:50:33] fastreid.utils.events INFO:  eta: 0:58:00  iter: 6199  total_loss: 9.659  loss_cls_b1: 0.9285  loss_cls_b2: 0.8939  loss_cls_b21: 1.245  loss_cls_b22: 1.251  loss_cls_b3: 0.9136  loss_cls_b31: 1.43  loss_cls_b32: 1.233  loss_cls_b33: 1.494  loss_triplet_b1: 0.02717  loss_triplet_b2: 0.01571  loss_triplet_b3: 0.01781  loss_triplet_b22: 0.009934  loss_triplet_b33: 0.01117  time: 0.5645  data_time: 0.0005  lr: 3.50e-04  max_mem: 20455M
[05/04 16:52:34] fastreid.utils.events INFO:  eta: 0:56:02  iter: 6399  total_loss: 8.705  loss_cls_b1: 0.8059  loss_cls_b2: 0.773  loss_cls_b21: 1.112  loss_cls_b22: 1.168  loss_cls_b3: 0.7559  loss_cls_b31: 1.321  loss_cls_b32: 1.159  loss_cls_b33: 1.386  loss_triplet_b1: 0.01404  loss_triplet_b2: 0.008586  loss_triplet_b3: 0.00839  loss_triplet_b22: 0.005583  loss_triplet_b33: 0.004641  time: 0.5653  data_time: 0.0005  lr: 3.47e-04  max_mem: 20455M
[05/04 16:54:34] fastreid.utils.events INFO:  eta: 0:54:03  iter: 6599  total_loss: 8.116  loss_cls_b1: 0.7888  loss_cls_b2: 0.7111  loss_cls_b21: 1.028  loss_cls_b22: 1.008  loss_cls_b3: 0.6959  loss_cls_b31: 1.266  loss_cls_b32: 1.04  loss_cls_b33: 1.377  loss_triplet_b1: 0.01253  loss_triplet_b2: 0.01312  loss_triplet_b3: 0.01176  loss_triplet_b22: 0.01173  loss_triplet_b33: 0.009512  time: 0.5660  data_time: 0.0006  lr: 3.43e-04  max_mem: 20455M
[05/04 16:56:35] fastreid.utils.events INFO:  eta: 0:52:06  iter: 6799  total_loss: 7.912  loss_cls_b1: 0.7721  loss_cls_b2: 0.711  loss_cls_b21: 1.067  loss_cls_b22: 0.9874  loss_cls_b3: 0.7212  loss_cls_b31: 1.244  loss_cls_b32: 0.959  loss_cls_b33: 1.288  loss_triplet_b1: 0.0192  loss_triplet_b2: 0.009835  loss_triplet_b3: 0.0106  loss_triplet_b22: 0.005271  loss_triplet_b33: 0.005404  time: 0.5667  data_time: 0.0005  lr: 3.37e-04  max_mem: 20455M
[05/04 16:58:35] fastreid.utils.events INFO:  eta: 0:50:07  iter: 6999  total_loss: 7.875  loss_cls_b1: 0.747  loss_cls_b2: 0.6744  loss_cls_b21: 1.055  loss_cls_b22: 0.9859  loss_cls_b3: 0.705  loss_cls_b31: 1.282  loss_cls_b32: 1.031  loss_cls_b33: 1.316  loss_triplet_b1: 0.01978  loss_triplet_b2: 0.01609  loss_triplet_b3: 0.01497  loss_triplet_b22: 0.0128  loss_triplet_b33: 0.006925  time: 0.5674  data_time: 0.0005  lr: 3.30e-04  max_mem: 20455M
[05/04 17:00:36] fastreid.utils.events INFO:  eta: 0:48:10  iter: 7199  total_loss: 7.754  loss_cls_b1: 0.7643  loss_cls_b2: 0.6431  loss_cls_b21: 0.9898  loss_cls_b22: 0.9624  loss_cls_b3: 0.6831  loss_cls_b31: 1.214  loss_cls_b32: 0.9728  loss_cls_b33: 1.301  loss_triplet_b1: 0.0131  loss_triplet_b2: 0.01105  loss_triplet_b3: 0.009511  loss_triplet_b22: 0.009734  loss_triplet_b33: 0.006134  time: 0.5679  data_time: 0.0005  lr: 3.20e-04  max_mem: 20455M
[05/04 17:02:36] fastreid.utils.events INFO:  eta: 0:46:13  iter: 7399  total_loss: 6.557  loss_cls_b1: 0.6523  loss_cls_b2: 0.6173  loss_cls_b21: 0.8929  loss_cls_b22: 0.8404  loss_cls_b3: 0.6045  loss_cls_b31: 1.083  loss_cls_b32: 0.8778  loss_cls_b33: 1.104  loss_triplet_b1: 0.01208  loss_triplet_b2: 0.00978  loss_triplet_b3: 0.008269  loss_triplet_b22: 0.006596  loss_triplet_b33: 0.004356  time: 0.5685  data_time: 0.0005  lr: 3.10e-04  max_mem: 20455M
[05/04 17:04:37] fastreid.utils.events INFO:  eta: 0:44:16  iter: 7599  total_loss: 6.443  loss_cls_b1: 0.6425  loss_cls_b2: 0.571  loss_cls_b21: 0.7958  loss_cls_b22: 0.8687  loss_cls_b3: 0.5182  loss_cls_b31: 1.037  loss_cls_b32: 0.8503  loss_cls_b33: 1.117  loss_triplet_b1: 0.01246  loss_triplet_b2: 0.00999  loss_triplet_b3: 0.008948  loss_triplet_b22: 0.007666  loss_triplet_b33: 0.005987  time: 0.5691  data_time: 0.0006  lr: 2.97e-04  max_mem: 20455M
[05/04 17:06:38] fastreid.utils.events INFO:  eta: 0:42:19  iter: 7799  total_loss: 7.146  loss_cls_b1: 0.7216  loss_cls_b2: 0.6234  loss_cls_b21: 0.8629  loss_cls_b22: 0.9883  loss_cls_b3: 0.6403  loss_cls_b31: 1.009  loss_cls_b32: 0.9154  loss_cls_b33: 1.251  loss_triplet_b1: 0.0197  loss_triplet_b2: 0.01431  loss_triplet_b3: 0.01699  loss_triplet_b22: 0.01806  loss_triplet_b33: 0.01362  time: 0.5696  data_time: 0.0005  lr: 2.84e-04  max_mem: 20455M
[05/04 17:08:38] fastreid.utils.events INFO:  eta: 0:40:21  iter: 7999  total_loss: 6.469  loss_cls_b1: 0.6586  loss_cls_b2: 0.5681  loss_cls_b21: 0.8107  loss_cls_b22: 0.8083  loss_cls_b3: 0.566  loss_cls_b31: 1.029  loss_cls_b32: 0.8425  loss_cls_b33: 1.158  loss_triplet_b1: 0.01617  loss_triplet_b2: 0.01115  loss_triplet_b3: 0.009865  loss_triplet_b22: 0.007157  loss_triplet_b33: 0.004868  time: 0.5701  data_time: 0.0005  lr: 2.69e-04  max_mem: 20455M
[05/04 17:10:38] fastreid.utils.events INFO:  eta: 0:38:24  iter: 8199  total_loss: 6.034  loss_cls_b1: 0.5431  loss_cls_b2: 0.4995  loss_cls_b21: 0.8034  loss_cls_b22: 0.7517  loss_cls_b3: 0.5144  loss_cls_b31: 0.9487  loss_cls_b32: 0.7608  loss_cls_b33: 0.9002  loss_triplet_b1: 0.01005  loss_triplet_b2: 0.006135  loss_triplet_b3: 0.006465  loss_triplet_b22: 0.00585  loss_triplet_b33: 0.004009  time: 0.5705  data_time: 0.0005  lr: 2.53e-04  max_mem: 20455M
[05/04 17:12:39] fastreid.utils.events INFO:  eta: 0:36:26  iter: 8399  total_loss: 6.05  loss_cls_b1: 0.5765  loss_cls_b2: 0.5005  loss_cls_b21: 0.7712  loss_cls_b22: 0.7659  loss_cls_b3: 0.4855  loss_cls_b31: 0.9335  loss_cls_b32: 0.7206  loss_cls_b33: 0.9841  loss_triplet_b1: 0.01191  loss_triplet_b2: 0.008945  loss_triplet_b3: 0.008384  loss_triplet_b22: 0.00715  loss_triplet_b33: 0.004565  time: 0.5710  data_time: 0.0005  lr: 2.37e-04  max_mem: 20455M
[05/04 17:14:39] fastreid.utils.events INFO:  eta: 0:34:28  iter: 8599  total_loss: 5.091  loss_cls_b1: 0.4996  loss_cls_b2: 0.4259  loss_cls_b21: 0.6455  loss_cls_b22: 0.6851  loss_cls_b3: 0.4304  loss_cls_b31: 0.792  loss_cls_b32: 0.7008  loss_cls_b33: 0.8795  loss_triplet_b1: 0.01053  loss_triplet_b2: 0.005987  loss_triplet_b3: 0.007854  loss_triplet_b22: 0.003903  loss_triplet_b33: 0.003438  time: 0.5714  data_time: 0.0005  lr: 2.19e-04  max_mem: 20455M
[05/04 17:16:40] fastreid.utils.events INFO:  eta: 0:32:31  iter: 8799  total_loss: 4.671  loss_cls_b1: 0.4615  loss_cls_b2: 0.3874  loss_cls_b21: 0.5983  loss_cls_b22: 0.6069  loss_cls_b3: 0.3811  loss_cls_b31: 0.7587  loss_cls_b32: 0.5957  loss_cls_b33: 0.8498  loss_triplet_b1: 0.007243  loss_triplet_b2: 0.00453  loss_triplet_b3: 0.005139  loss_triplet_b22: 0.002796  loss_triplet_b33: 0.002544  time: 0.5718  data_time: 0.0005  lr: 2.02e-04  max_mem: 20455M
[05/04 17:18:40] fastreid.utils.events INFO:  eta: 0:30:33  iter: 8999  total_loss: 4.6  loss_cls_b1: 0.4364  loss_cls_b2: 0.3948  loss_cls_b21: 0.6099  loss_cls_b22: 0.6281  loss_cls_b3: 0.3885  loss_cls_b31: 0.7772  loss_cls_b32: 0.64  loss_cls_b33: 0.7456  loss_triplet_b1: 0.006048  loss_triplet_b2: 0.00445  loss_triplet_b3: 0.004385  loss_triplet_b22: 0.002514  loss_triplet_b33: 0.001415  time: 0.5722  data_time: 0.0006  lr: 1.84e-04  max_mem: 20455M
[05/04 17:20:41] fastreid.utils.events INFO:  eta: 0:28:35  iter: 9199  total_loss: 4.436  loss_cls_b1: 0.4312  loss_cls_b2: 0.3554  loss_cls_b21: 0.6325  loss_cls_b22: 0.5817  loss_cls_b3: 0.3738  loss_cls_b31: 0.7546  loss_cls_b32: 0.5877  loss_cls_b33: 0.7312  loss_triplet_b1: 0.005708  loss_triplet_b2: 0.004038  loss_triplet_b3: 0.00575  loss_triplet_b22: 0.003522  loss_triplet_b33: 0.001819  time: 0.5725  data_time: 0.0005  lr: 1.66e-04  max_mem: 20455M
[05/04 17:22:42] fastreid.utils.events INFO:  eta: 0:26:39  iter: 9399  total_loss: 4.098  loss_cls_b1: 0.4196  loss_cls_b2: 0.3091  loss_cls_b21: 0.5361  loss_cls_b22: 0.552  loss_cls_b3: 0.3586  loss_cls_b31: 0.6332  loss_cls_b32: 0.5538  loss_cls_b33: 0.7228  loss_triplet_b1: 0.008708  loss_triplet_b2: 0.004164  loss_triplet_b3: 0.005207  loss_triplet_b22: 0.001941  loss_triplet_b33: 0.001616  time: 0.5730  data_time: 0.0005  lr: 1.48e-04  max_mem: 20455M
[05/04 17:24:42] fastreid.utils.events INFO:  eta: 0:24:41  iter: 9599  total_loss: 4.395  loss_cls_b1: 0.3988  loss_cls_b2: 0.3477  loss_cls_b21: 0.5131  loss_cls_b22: 0.5617  loss_cls_b3: 0.3615  loss_cls_b31: 0.6564  loss_cls_b32: 0.5688  loss_cls_b33: 0.7759  loss_triplet_b1: 0.009196  loss_triplet_b2: 0.005993  loss_triplet_b3: 0.007486  loss_triplet_b22: 0.003579  loss_triplet_b33: 0.002585  time: 0.5733  data_time: 0.0005  lr: 1.30e-04  max_mem: 20455M
[05/04 17:26:43] fastreid.utils.events INFO:  eta: 0:22:43  iter: 9799  total_loss: 3.592  loss_cls_b1: 0.3246  loss_cls_b2: 0.2683  loss_cls_b21: 0.4467  loss_cls_b22: 0.4788  loss_cls_b3: 0.2971  loss_cls_b31: 0.5901  loss_cls_b32: 0.4814  loss_cls_b33: 0.6672  loss_triplet_b1: 0.003857  loss_triplet_b2: 0.00228  loss_triplet_b3: 0.002278  loss_triplet_b22: 0.001315  loss_triplet_b33: 0.0008145  time: 0.5736  data_time: 0.0005  lr: 1.13e-04  max_mem: 20455M
[05/04 17:28:43] fastreid.utils.events INFO:  eta: 0:20:46  iter: 9999  total_loss: 3.761  loss_cls_b1: 0.3176  loss_cls_b2: 0.2906  loss_cls_b21: 0.4832  loss_cls_b22: 0.5013  loss_cls_b3: 0.3067  loss_cls_b31: 0.5988  loss_cls_b32: 0.5073  loss_cls_b33: 0.6715  loss_triplet_b1: 0.004989  loss_triplet_b2: 0.003943  loss_triplet_b3: 0.00508  loss_triplet_b22: 0.002405  loss_triplet_b33: 0.000851  time: 0.5739  data_time: 0.0005  lr: 9.61e-05  max_mem: 20455M
[05/04 17:30:44] fastreid.utils.events INFO:  eta: 0:18:48  iter: 10199  total_loss: 3.157  loss_cls_b1: 0.3068  loss_cls_b2: 0.2773  loss_cls_b21: 0.4028  loss_cls_b22: 0.4547  loss_cls_b3: 0.2792  loss_cls_b31: 0.4729  loss_cls_b32: 0.4206  loss_cls_b33: 0.5454  loss_triplet_b1: 0.005005  loss_triplet_b2: 0.002687  loss_triplet_b3: 0.003447  loss_triplet_b22: 0.0022  loss_triplet_b33: 0.0008695  time: 0.5742  data_time: 0.0005  lr: 8.04e-05  max_mem: 20455M
[05/04 17:32:44] fastreid.utils.events INFO:  eta: 0:16:50  iter: 10399  total_loss: 2.892  loss_cls_b1: 0.2692  loss_cls_b2: 0.2524  loss_cls_b21: 0.3874  loss_cls_b22: 0.3376  loss_cls_b3: 0.2594  loss_cls_b31: 0.4722  loss_cls_b32: 0.4034  loss_cls_b33: 0.451  loss_triplet_b1: 0.002895  loss_triplet_b2: 0.003572  loss_triplet_b3: 0.002353  loss_triplet_b22: 0.001477  loss_triplet_b33: 0.0006725  time: 0.5745  data_time: 0.0005  lr: 6.58e-05  max_mem: 20455M
[05/04 17:34:45] fastreid.utils.events INFO:  eta: 0:14:53  iter: 10599  total_loss: 2.99  loss_cls_b1: 0.2736  loss_cls_b2: 0.2443  loss_cls_b21: 0.4408  loss_cls_b22: 0.3834  loss_cls_b3: 0.2598  loss_cls_b31: 0.542  loss_cls_b32: 0.3901  loss_cls_b33: 0.487  loss_triplet_b1: 0.002675  loss_triplet_b2: 0.002519  loss_triplet_b3: 0.002433  loss_triplet_b22: 0.0008893  loss_triplet_b33: 0.0007665  time: 0.5748  data_time: 0.0005  lr: 5.23e-05  max_mem: 20455M
[05/04 17:36:45] fastreid.utils.events INFO:  eta: 0:12:55  iter: 10799  total_loss: 2.871  loss_cls_b1: 0.2557  loss_cls_b2: 0.2366  loss_cls_b21: 0.3781  loss_cls_b22: 0.3645  loss_cls_b3: 0.2447  loss_cls_b31: 0.4936  loss_cls_b32: 0.4084  loss_cls_b33: 0.488  loss_triplet_b1: 0.002321  loss_triplet_b2: 0.001971  loss_triplet_b3: 0.001958  loss_triplet_b22: 0.0008835  loss_triplet_b33: 0.0004443  time: 0.5750  data_time: 0.0005  lr: 4.01e-05  max_mem: 20455M
[05/04 17:38:45] fastreid.utils.events INFO:  eta: 0:10:57  iter: 10999  total_loss: 2.865  loss_cls_b1: 0.2647  loss_cls_b2: 0.2412  loss_cls_b21: 0.3747  loss_cls_b22: 0.3795  loss_cls_b3: 0.2387  loss_cls_b31: 0.5082  loss_cls_b32: 0.3914  loss_cls_b33: 0.4732  loss_triplet_b1: 0.002806  loss_triplet_b2: 0.002601  loss_triplet_b3: 0.002677  loss_triplet_b22: 0.001294  loss_triplet_b33: 0.000669  time: 0.5752  data_time: 0.0005  lr: 2.94e-05  max_mem: 20455M
[05/04 17:40:46] fastreid.utils.events INFO:  eta: 0:09:00  iter: 11199  total_loss: 2.657  loss_cls_b1: 0.2488  loss_cls_b2: 0.2181  loss_cls_b21: 0.3477  loss_cls_b22: 0.3693  loss_cls_b3: 0.2279  loss_cls_b31: 0.4255  loss_cls_b32: 0.3465  loss_cls_b33: 0.4292  loss_triplet_b1: 0.002425  loss_triplet_b2: 0.002319  loss_triplet_b3: 0.00226  loss_triplet_b22: 0.0009695  loss_triplet_b33: 0.0003827  time: 0.5754  data_time: 0.0005  lr: 2.03e-05  max_mem: 20455M
[05/04 17:42:46] fastreid.utils.events INFO:  eta: 0:07:02  iter: 11399  total_loss: 2.531  loss_cls_b1: 0.2345  loss_cls_b2: 0.217  loss_cls_b21: 0.3078  loss_cls_b22: 0.3347  loss_cls_b3: 0.2222  loss_cls_b31: 0.4008  loss_cls_b32: 0.3409  loss_cls_b33: 0.4231  loss_triplet_b1: 0.001535  loss_triplet_b2: 0.001738  loss_triplet_b3: 0.001754  loss_triplet_b22: 0.0007088  loss_triplet_b33: 0.0003294  time: 0.5756  data_time: 0.0005  lr: 1.28e-05  max_mem: 20455M
[05/04 17:44:47] fastreid.utils.events INFO:  eta: 0:05:05  iter: 11599  total_loss: 2.569  loss_cls_b1: 0.2256  loss_cls_b2: 0.2095  loss_cls_b21: 0.3372  loss_cls_b22: 0.3088  loss_cls_b3: 0.2262  loss_cls_b31: 0.4335  loss_cls_b32: 0.3254  loss_cls_b33: 0.3901  loss_triplet_b1: 0.001757  loss_triplet_b2: 0.00175  loss_triplet_b3: 0.002161  loss_triplet_b22: 0.0008362  loss_triplet_b33: 0.0004615  time: 0.5759  data_time: 0.0006  lr: 7.10e-06  max_mem: 20455M
[05/04 17:46:48] fastreid.utils.events INFO:  eta: 0:03:08  iter: 11799  total_loss: 2.466  loss_cls_b1: 0.2351  loss_cls_b2: 0.2183  loss_cls_b21: 0.2932  loss_cls_b22: 0.3269  loss_cls_b3: 0.2203  loss_cls_b31: 0.4252  loss_cls_b32: 0.333  loss_cls_b33: 0.4141  loss_triplet_b1: 0.001798  loss_triplet_b2: 0.002101  loss_triplet_b3: 0.002223  loss_triplet_b22: 0.0008712  loss_triplet_b33: 0.0003836  time: 0.5761  data_time: 0.0005  lr: 3.18e-06  max_mem: 20455M
[05/04 17:48:48] fastreid.utils.events INFO:  eta: 0:01:11  iter: 11999  total_loss: 2.345  loss_cls_b1: 0.2114  loss_cls_b2: 0.2039  loss_cls_b21: 0.3348  loss_cls_b22: 0.3327  loss_cls_b3: 0.2172  loss_cls_b31: 0.4072  loss_cls_b32: 0.3346  loss_cls_b33: 0.4254  loss_triplet_b1: 0.001713  loss_triplet_b2: 0.001777  loss_triplet_b3: 0.002128  loss_triplet_b22: 0.0006286  loss_triplet_b33: 0.0002441  time: 0.5763  data_time: 0.0004  lr: 1.11e-06  max_mem: 20455M
[05/04 17:50:00] fastreid.engine.defaults INFO: Prepare testing set
[05/04 17:50:01] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| query    | 750     | 3368       | 6           |
| gallery  | 751     | 15913      | 6           |[0m
[05/04 17:50:01] fastreid.evaluation.evaluator INFO: Start inference on 19281 images
[05/04 17:50:11] fastreid.evaluation.evaluator INFO: Inference done 11/151. 0.0483 s / batch. ETA=0:00:15
[05/04 17:50:31] fastreid.evaluation.evaluator INFO: Total inference time: 0:00:21.001088 (0.143843 s / batch per device)
[05/04 17:50:31] fastreid.evaluation.evaluator INFO: Total inference pure compute time: 0:00:10 (0.069779 s / batch per device)
[05/04 17:51:58] fastreid.evaluation.testing INFO: Evaluation results in csv format: 
[36m| Datasets   | Rank-1   | Rank-5   | Rank-10   | mAP    | mINP   |
|:-----------|:---------|:---------|:----------|:-------|:-------|
| CMDM       | 97.21%   | 99.17%   | 99.55%    | 93.82% | 80.82% |[0m
[05/04 17:51:58] fastreid.utils.events INFO:  eta: 0:00:00  iter: 12119  total_loss: 2.241  loss_cls_b1: 0.2094  loss_cls_b2: 0.1993  loss_cls_b21: 0.3131  loss_cls_b22: 0.2937  loss_cls_b3: 0.2009  loss_cls_b31: 0.3559  loss_cls_b32: 0.2705  loss_cls_b33: 0.4028  loss_triplet_b1: 0.001158  loss_triplet_b2: 0.001614  loss_triplet_b3: 0.001151  loss_triplet_b22: 0.0004369  loss_triplet_b33: 0.0001494  time: 0.5764  data_time: 0.0005  lr: 7.70e-07  max_mem: 20455M
[05/04 17:51:58] fastreid.engine.hooks INFO: Overall training speed: 12117 iterations in 1:56:25 (0.5765 s / it)
[05/04 17:51:58] fastreid.engine.hooks INFO: Total training time: 2:00:46 (0:04:21 on hooks)
