[04/22 15:03:44] fastreid INFO: Rank of current process: 0. World size: 4
[04/22 15:03:44] 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, 

[04/22 15:03:44] fastreid INFO: Command line arguments: Namespace(config_file='configs/CMDM/market1501_mgn_R50ibn_lion.yml', finetune=False, resume=False, eval_only=False, num_gpus=4, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:34402', opts=[])
[04/22 15:03:44] fastreid INFO: Contents of args.config_file=configs/CMDM/market1501_mgn_R50ibn_lion.yml:
_BASE_: "../Base-MGN.yml"

MODEL:
  BACKBONE:
    WITH_IBN: True
    EXTRA_BN: True
    PRETRAIN_PATH: "/home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet50_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/ResNet50IBN_LION_MGN"

[04/22 15:03:44] 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: 50x
    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/ResNet50_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/ResNet50IBN_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
[04/22 15:03:44] fastreid INFO: Full config saved to /home/ma-user/work/Projects/ReIDNet_Finetune/FastReID/logs/market/ResNet50IBN_LION_MGN/config.yaml
[04/22 15:03:44] fastreid.utils.env INFO: Using a generated random seed 46927772
[04/22 15:03:44] fastreid.engine.defaults INFO: Prepare training set
[04/22 15:03:45] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| train    | 751     | 12936      | 6           |[0m
[04/22 15:03:45] 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.
[04/22 15:03:46] fastreid.modeling.backbones.resnet INFO: Loading pretrained model from /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet50_IBN.pth
[04/22 15:04:03] fastreid.engine.defaults INFO: Freeze layer group "backbone,b1,b2,b3" training for 2020 iterations
[04/22 15:04:03] fastreid.utils.checkpoint INFO: No checkpoint found. Training model from scratch
[04/22 15:04:03] fastreid.engine.train_loop INFO: Starting training from iteration 0
[04/22 15:05:09] fastreid.utils.events INFO:  eta: 0:53:47  iter: 199  total_loss: 55.47  loss_cls_b1: 6.252  loss_cls_b2: 6.172  loss_cls_b21: 6.346  loss_cls_b22: 6.342  loss_cls_b3: 6.29  loss_cls_b31: 6.352  loss_cls_b32: 6.376  loss_cls_b33: 6.361  loss_triplet_b1: 0.8028  loss_triplet_b2: 0.7878  loss_triplet_b3: 0.8097  loss_triplet_b22: 1.119  loss_triplet_b33: 1.396  time: 0.2731  data_time: 0.0006  lr: 3.76e-05  max_mem: 19407M
[04/22 15:06:10] fastreid.utils.events INFO:  eta: 0:52:43  iter: 399  total_loss: 54.8  loss_cls_b1: 6.121  loss_cls_b2: 6.204  loss_cls_b21: 6.271  loss_cls_b22: 6.245  loss_cls_b3: 6.269  loss_cls_b31: 6.302  loss_cls_b32: 6.195  loss_cls_b33: 6.184  loss_triplet_b1: 0.7374  loss_triplet_b2: 0.7296  loss_triplet_b3: 0.7389  loss_triplet_b22: 1.058  loss_triplet_b33: 1.382  time: 0.2704  data_time: 0.0005  lr: 7.19e-05  max_mem: 19407M
[04/22 15:07:10] fastreid.utils.events INFO:  eta: 0:51:47  iter: 599  total_loss: 52.82  loss_cls_b1: 6.175  loss_cls_b2: 6.041  loss_cls_b21: 6.157  loss_cls_b22: 6.206  loss_cls_b3: 6.017  loss_cls_b31: 6.095  loss_cls_b32: 6.13  loss_cls_b33: 6.087  loss_triplet_b1: 0.6591  loss_triplet_b2: 0.6193  loss_triplet_b3: 0.6322  loss_triplet_b22: 0.8758  loss_triplet_b33: 1.103  time: 0.2696  data_time: 0.0005  lr: 1.06e-04  max_mem: 19407M
[04/22 15:08:11] fastreid.utils.events INFO:  eta: 0:50:53  iter: 799  total_loss: 50.7  loss_cls_b1: 5.84  loss_cls_b2: 5.848  loss_cls_b21: 5.81  loss_cls_b22: 5.821  loss_cls_b3: 5.884  loss_cls_b31: 5.96  loss_cls_b32: 5.889  loss_cls_b33: 5.896  loss_triplet_b1: 0.5587  loss_triplet_b2: 0.5989  loss_triplet_b3: 0.5883  loss_triplet_b22: 0.799  loss_triplet_b33: 1.075  time: 0.2692  data_time: 0.0005  lr: 1.41e-04  max_mem: 19407M
[04/22 15:09:11] fastreid.utils.events INFO:  eta: 0:49:59  iter: 999  total_loss: 47.29  loss_cls_b1: 5.351  loss_cls_b2: 5.353  loss_cls_b21: 5.626  loss_cls_b22: 5.55  loss_cls_b3: 5.499  loss_cls_b31: 5.595  loss_cls_b32: 5.532  loss_cls_b33: 5.633  loss_triplet_b1: 0.6012  loss_triplet_b2: 0.5776  loss_triplet_b3: 0.5599  loss_triplet_b22: 0.7384  loss_triplet_b33: 0.9704  time: 0.2688  data_time: 0.0005  lr: 1.75e-04  max_mem: 19407M
[04/22 15:10:11] fastreid.utils.events INFO:  eta: 0:49:03  iter: 1199  total_loss: 44  loss_cls_b1: 4.982  loss_cls_b2: 5.142  loss_cls_b21: 5.061  loss_cls_b22: 5.161  loss_cls_b3: 4.911  loss_cls_b31: 5.1  loss_cls_b32: 5.196  loss_cls_b33: 5.347  loss_triplet_b1: 0.4607  loss_triplet_b2: 0.4932  loss_triplet_b3: 0.4776  loss_triplet_b22: 0.7065  loss_triplet_b33: 0.8385  time: 0.2688  data_time: 0.0005  lr: 2.09e-04  max_mem: 19407M
[04/22 15:11:12] fastreid.utils.events INFO:  eta: 0:48:10  iter: 1399  total_loss: 40.63  loss_cls_b1: 4.5  loss_cls_b2: 4.596  loss_cls_b21: 4.686  loss_cls_b22: 4.864  loss_cls_b3: 4.577  loss_cls_b31: 4.784  loss_cls_b32: 4.711  loss_cls_b33: 4.929  loss_triplet_b1: 0.4704  loss_triplet_b2: 0.5001  loss_triplet_b3: 0.4565  loss_triplet_b22: 0.6195  loss_triplet_b33: 0.6829  time: 0.2686  data_time: 0.0005  lr: 2.43e-04  max_mem: 19407M
[04/22 15:12:12] fastreid.utils.events INFO:  eta: 0:47:17  iter: 1599  total_loss: 36.77  loss_cls_b1: 4.031  loss_cls_b2: 4.118  loss_cls_b21: 4.224  loss_cls_b22: 4.298  loss_cls_b3: 3.953  loss_cls_b31: 4.483  loss_cls_b32: 4.516  loss_cls_b33: 4.366  loss_triplet_b1: 0.3952  loss_triplet_b2: 0.3844  loss_triplet_b3: 0.3736  loss_triplet_b22: 0.5362  loss_triplet_b33: 0.6596  time: 0.2685  data_time: 0.0005  lr: 2.78e-04  max_mem: 19407M
[04/22 15:13:13] fastreid.utils.events INFO:  eta: 0:46:23  iter: 1799  total_loss: 34.03  loss_cls_b1: 3.799  loss_cls_b2: 3.823  loss_cls_b21: 4.027  loss_cls_b22: 3.943  loss_cls_b3: 3.927  loss_cls_b31: 4.213  loss_cls_b32: 4.112  loss_cls_b33: 4.066  loss_triplet_b1: 0.402  loss_triplet_b2: 0.399  loss_triplet_b3: 0.3797  loss_triplet_b22: 0.469  loss_triplet_b33: 0.6159  time: 0.2685  data_time: 0.0005  lr: 3.12e-04  max_mem: 19407M
[04/22 15:14:13] fastreid.utils.events INFO:  eta: 0:45:28  iter: 1999  total_loss: 31.52  loss_cls_b1: 3.41  loss_cls_b2: 3.451  loss_cls_b21: 3.777  loss_cls_b22: 3.792  loss_cls_b3: 3.468  loss_cls_b31: 3.951  loss_cls_b32: 3.739  loss_cls_b33: 4.054  loss_triplet_b1: 0.3604  loss_triplet_b2: 0.336  loss_triplet_b3: 0.3628  loss_triplet_b22: 0.3881  loss_triplet_b33: 0.5495  time: 0.2684  data_time: 0.0005  lr: 3.46e-04  max_mem: 19407M
[04/22 15:15:18] fastreid.utils.events INFO:  eta: 0:44:41  iter: 2199  total_loss: 29.62  loss_cls_b1: 3.275  loss_cls_b2: 3.385  loss_cls_b21: 3.655  loss_cls_b22: 3.502  loss_cls_b3: 3.311  loss_cls_b31: 3.893  loss_cls_b32: 3.535  loss_cls_b33: 3.743  loss_triplet_b1: 0.1698  loss_triplet_b2: 0.16  loss_triplet_b3: 0.1985  loss_triplet_b22: 0.1955  loss_triplet_b33: 0.2397  time: 0.2731  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:16:24] fastreid.utils.events INFO:  eta: 0:44:02  iter: 2399  total_loss: 25.68  loss_cls_b1: 2.882  loss_cls_b2: 2.744  loss_cls_b21: 3.025  loss_cls_b22: 3.202  loss_cls_b3: 2.774  loss_cls_b31: 3.336  loss_cls_b32: 3.219  loss_cls_b33: 3.465  loss_triplet_b1: 0.1128  loss_triplet_b2: 0.1264  loss_triplet_b3: 0.1279  loss_triplet_b22: 0.1262  loss_triplet_b33: 0.1655  time: 0.2774  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:17:29] fastreid.utils.events INFO:  eta: 0:51:11  iter: 2599  total_loss: 23.57  loss_cls_b1: 2.591  loss_cls_b2: 2.595  loss_cls_b21: 2.877  loss_cls_b22: 2.902  loss_cls_b3: 2.574  loss_cls_b31: 3.09  loss_cls_b32: 2.909  loss_cls_b33: 3.201  loss_triplet_b1: 0.1154  loss_triplet_b2: 0.09088  loss_triplet_b3: 0.1119  loss_triplet_b22: 0.1038  loss_triplet_b33: 0.1375  time: 0.2811  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:18:35] fastreid.utils.events INFO:  eta: 0:50:18  iter: 2799  total_loss: 21.5  loss_cls_b1: 2.341  loss_cls_b2: 2.209  loss_cls_b21: 2.632  loss_cls_b22: 2.655  loss_cls_b3: 2.304  loss_cls_b31: 2.938  loss_cls_b32: 2.587  loss_cls_b33: 3.002  loss_triplet_b1: 0.04683  loss_triplet_b2: 0.06243  loss_triplet_b3: 0.05098  loss_triplet_b22: 0.05124  loss_triplet_b33: 0.07448  time: 0.2843  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:19:40] fastreid.utils.events INFO:  eta: 0:49:19  iter: 2999  total_loss: 20.1  loss_cls_b1: 2.136  loss_cls_b2: 2.108  loss_cls_b21: 2.486  loss_cls_b22: 2.553  loss_cls_b3: 2.15  loss_cls_b31: 2.932  loss_cls_b32: 2.571  loss_cls_b33: 2.738  loss_triplet_b1: 0.06802  loss_triplet_b2: 0.0539  loss_triplet_b3: 0.05303  loss_triplet_b22: 0.05574  loss_triplet_b33: 0.0836  time: 0.2870  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:20:46] fastreid.utils.events INFO:  eta: 0:48:15  iter: 3199  total_loss: 18.99  loss_cls_b1: 1.944  loss_cls_b2: 1.983  loss_cls_b21: 2.339  loss_cls_b22: 2.409  loss_cls_b3: 2.044  loss_cls_b31: 2.634  loss_cls_b32: 2.341  loss_cls_b33: 2.74  loss_triplet_b1: 0.03134  loss_triplet_b2: 0.03158  loss_triplet_b3: 0.02797  loss_triplet_b22: 0.0364  loss_triplet_b33: 0.0862  time: 0.2894  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:21:51] fastreid.utils.events INFO:  eta: 0:47:08  iter: 3399  total_loss: 17.01  loss_cls_b1: 1.845  loss_cls_b2: 1.781  loss_cls_b21: 2.18  loss_cls_b22: 2.171  loss_cls_b3: 1.725  loss_cls_b31: 2.321  loss_cls_b32: 2.088  loss_cls_b33: 2.425  loss_triplet_b1: 0.04674  loss_triplet_b2: 0.04504  loss_triplet_b3: 0.06346  loss_triplet_b22: 0.04273  loss_triplet_b33: 0.03987  time: 0.2915  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:22:56] fastreid.utils.events INFO:  eta: 0:46:01  iter: 3599  total_loss: 15.07  loss_cls_b1: 1.529  loss_cls_b2: 1.556  loss_cls_b21: 1.902  loss_cls_b22: 2.021  loss_cls_b3: 1.551  loss_cls_b31: 2.256  loss_cls_b32: 1.959  loss_cls_b33: 2.389  loss_triplet_b1: 0.03393  loss_triplet_b2: 0.03337  loss_triplet_b3: 0.03628  loss_triplet_b22: 0.0254  loss_triplet_b33: 0.03711  time: 0.2933  data_time: 0.0006  lr: 3.50e-04  max_mem: 19407M
[04/22 15:24:01] fastreid.utils.events INFO:  eta: 0:44:55  iter: 3799  total_loss: 15.91  loss_cls_b1: 1.639  loss_cls_b2: 1.56  loss_cls_b21: 2.015  loss_cls_b22: 2.062  loss_cls_b3: 1.625  loss_cls_b31: 2.424  loss_cls_b32: 1.966  loss_cls_b33: 2.476  loss_triplet_b1: 0.03609  loss_triplet_b2: 0.0245  loss_triplet_b3: 0.02371  loss_triplet_b22: 0.03836  loss_triplet_b33: 0.02739  time: 0.2949  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:25:07] fastreid.utils.events INFO:  eta: 0:43:50  iter: 3999  total_loss: 17.22  loss_cls_b1: 1.82  loss_cls_b2: 1.777  loss_cls_b21: 2.069  loss_cls_b22: 2.114  loss_cls_b3: 1.745  loss_cls_b31: 2.376  loss_cls_b32: 2.12  loss_cls_b33: 2.574  loss_triplet_b1: 0.03297  loss_triplet_b2: 0.0228  loss_triplet_b3: 0.02916  loss_triplet_b22: 0.02216  loss_triplet_b33: 0.03951  time: 0.2964  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:26:12] fastreid.utils.events INFO:  eta: 0:42:44  iter: 4199  total_loss: 15.09  loss_cls_b1: 1.486  loss_cls_b2: 1.449  loss_cls_b21: 1.919  loss_cls_b22: 1.909  loss_cls_b3: 1.471  loss_cls_b31: 2.142  loss_cls_b32: 1.858  loss_cls_b33: 2.359  loss_triplet_b1: 0.03295  loss_triplet_b2: 0.03001  loss_triplet_b3: 0.03138  loss_triplet_b22: 0.02925  loss_triplet_b33: 0.03073  time: 0.2977  data_time: 0.0004  lr: 3.50e-04  max_mem: 19407M
[04/22 15:27:17] fastreid.utils.events INFO:  eta: 0:41:39  iter: 4399  total_loss: 14.85  loss_cls_b1: 1.475  loss_cls_b2: 1.481  loss_cls_b21: 1.853  loss_cls_b22: 1.949  loss_cls_b3: 1.512  loss_cls_b31: 2.121  loss_cls_b32: 1.891  loss_cls_b33: 2.312  loss_triplet_b1: 0.03232  loss_triplet_b2: 0.02692  loss_triplet_b3: 0.02627  loss_triplet_b22: 0.03035  loss_triplet_b33: 0.03817  time: 0.2989  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:28:22] fastreid.utils.events INFO:  eta: 0:40:34  iter: 4599  total_loss: 13.67  loss_cls_b1: 1.381  loss_cls_b2: 1.346  loss_cls_b21: 1.799  loss_cls_b22: 1.756  loss_cls_b3: 1.286  loss_cls_b31: 2.087  loss_cls_b32: 1.66  loss_cls_b33: 2.285  loss_triplet_b1: 0.0481  loss_triplet_b2: 0.04133  loss_triplet_b3: 0.02898  loss_triplet_b22: 0.04109  loss_triplet_b33: 0.02515  time: 0.3000  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:29:27] fastreid.utils.events INFO:  eta: 0:39:29  iter: 4799  total_loss: 13.25  loss_cls_b1: 1.374  loss_cls_b2: 1.284  loss_cls_b21: 1.619  loss_cls_b22: 1.761  loss_cls_b3: 1.358  loss_cls_b31: 1.946  loss_cls_b32: 1.608  loss_cls_b33: 2.139  loss_triplet_b1: 0.02395  loss_triplet_b2: 0.02731  loss_triplet_b3: 0.02063  loss_triplet_b22: 0.02138  loss_triplet_b33: 0.0185  time: 0.3010  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:30:33] fastreid.utils.events INFO:  eta: 0:38:25  iter: 4999  total_loss: 12.19  loss_cls_b1: 1.215  loss_cls_b2: 1.199  loss_cls_b21: 1.528  loss_cls_b22: 1.637  loss_cls_b3: 1.269  loss_cls_b31: 1.748  loss_cls_b32: 1.593  loss_cls_b33: 1.993  loss_triplet_b1: 0.03903  loss_triplet_b2: 0.03144  loss_triplet_b3: 0.03045  loss_triplet_b22: 0.02664  loss_triplet_b33: 0.03059  time: 0.3020  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:31:38] fastreid.utils.events INFO:  eta: 0:37:19  iter: 5199  total_loss: 11.95  loss_cls_b1: 1.16  loss_cls_b2: 1.081  loss_cls_b21: 1.51  loss_cls_b22: 1.59  loss_cls_b3: 1.154  loss_cls_b31: 1.811  loss_cls_b32: 1.545  loss_cls_b33: 1.994  loss_triplet_b1: 0.03803  loss_triplet_b2: 0.0315  loss_triplet_b3: 0.02709  loss_triplet_b22: 0.03182  loss_triplet_b33: 0.03742  time: 0.3028  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:32:43] fastreid.utils.events INFO:  eta: 0:36:16  iter: 5399  total_loss: 11.71  loss_cls_b1: 1.146  loss_cls_b2: 1.113  loss_cls_b21: 1.454  loss_cls_b22: 1.616  loss_cls_b3: 1.115  loss_cls_b31: 1.622  loss_cls_b32: 1.541  loss_cls_b33: 1.881  loss_triplet_b1: 0.03036  loss_triplet_b2: 0.02129  loss_triplet_b3: 0.02157  loss_triplet_b22: 0.02423  loss_triplet_b33: 0.02765  time: 0.3036  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:33:48] fastreid.utils.events INFO:  eta: 0:35:12  iter: 5599  total_loss: 11.06  loss_cls_b1: 1.072  loss_cls_b2: 1.007  loss_cls_b21: 1.359  loss_cls_b22: 1.554  loss_cls_b3: 1.052  loss_cls_b31: 1.584  loss_cls_b32: 1.406  loss_cls_b33: 1.782  loss_triplet_b1: 0.02561  loss_triplet_b2: 0.01636  loss_triplet_b3: 0.01825  loss_triplet_b22: 0.01379  loss_triplet_b33: 0.0135  time: 0.3044  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:34:54] fastreid.utils.events INFO:  eta: 0:34:07  iter: 5799  total_loss: 10.79  loss_cls_b1: 1.063  loss_cls_b2: 0.9812  loss_cls_b21: 1.454  loss_cls_b22: 1.365  loss_cls_b3: 0.995  loss_cls_b31: 1.696  loss_cls_b32: 1.37  loss_cls_b33: 1.722  loss_triplet_b1: 0.01906  loss_triplet_b2: 0.01964  loss_triplet_b3: 0.02221  loss_triplet_b22: 0.01688  loss_triplet_b33: 0.01726  time: 0.3051  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:35:59] fastreid.utils.events INFO:  eta: 0:33:02  iter: 5999  total_loss: 10.36  loss_cls_b1: 0.9624  loss_cls_b2: 0.935  loss_cls_b21: 1.368  loss_cls_b22: 1.427  loss_cls_b3: 0.9195  loss_cls_b31: 1.579  loss_cls_b32: 1.32  loss_cls_b33: 1.758  loss_triplet_b1: 0.02081  loss_triplet_b2: 0.019  loss_triplet_b3: 0.02  loss_triplet_b22: 0.01678  loss_triplet_b33: 0.01234  time: 0.3057  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:37:04] fastreid.utils.events INFO:  eta: 0:31:58  iter: 6199  total_loss: 9.452  loss_cls_b1: 0.9111  loss_cls_b2: 0.8322  loss_cls_b21: 1.213  loss_cls_b22: 1.274  loss_cls_b3: 0.8524  loss_cls_b31: 1.464  loss_cls_b32: 1.254  loss_cls_b33: 1.555  loss_triplet_b1: 0.02155  loss_triplet_b2: 0.01606  loss_triplet_b3: 0.01548  loss_triplet_b22: 0.01552  loss_triplet_b33: 0.01648  time: 0.3063  data_time: 0.0005  lr: 3.50e-04  max_mem: 19407M
[04/22 15:38:10] fastreid.utils.events INFO:  eta: 0:30:52  iter: 6399  total_loss: 9.793  loss_cls_b1: 0.9163  loss_cls_b2: 0.8714  loss_cls_b21: 1.209  loss_cls_b22: 1.387  loss_cls_b3: 0.9057  loss_cls_b31: 1.439  loss_cls_b32: 1.351  loss_cls_b33: 1.665  loss_triplet_b1: 0.01652  loss_triplet_b2: 0.01543  loss_triplet_b3: 0.01763  loss_triplet_b22: 0.01759  loss_triplet_b33: 0.01603  time: 0.3069  data_time: 0.0005  lr: 3.47e-04  max_mem: 19407M
[04/22 15:39:15] fastreid.utils.events INFO:  eta: 0:29:47  iter: 6599  total_loss: 8.151  loss_cls_b1: 0.7125  loss_cls_b2: 0.6694  loss_cls_b21: 1.046  loss_cls_b22: 1.055  loss_cls_b3: 0.6939  loss_cls_b31: 1.27  loss_cls_b32: 1.079  loss_cls_b33: 1.429  loss_triplet_b1: 0.01153  loss_triplet_b2: 0.009496  loss_triplet_b3: 0.01417  loss_triplet_b22: 0.007311  loss_triplet_b33: 0.0103  time: 0.3074  data_time: 0.0005  lr: 3.43e-04  max_mem: 19407M
[04/22 15:40:20] fastreid.utils.events INFO:  eta: 0:28:43  iter: 6799  total_loss: 8.932  loss_cls_b1: 0.867  loss_cls_b2: 0.7605  loss_cls_b21: 1.023  loss_cls_b22: 1.145  loss_cls_b3: 0.7608  loss_cls_b31: 1.335  loss_cls_b32: 1.108  loss_cls_b33: 1.575  loss_triplet_b1: 0.0283  loss_triplet_b2: 0.01918  loss_triplet_b3: 0.02605  loss_triplet_b22: 0.01905  loss_triplet_b33: 0.02398  time: 0.3079  data_time: 0.0005  lr: 3.37e-04  max_mem: 19407M
[04/22 15:41:26] fastreid.utils.events INFO:  eta: 0:27:37  iter: 6999  total_loss: 8.395  loss_cls_b1: 0.7718  loss_cls_b2: 0.7091  loss_cls_b21: 0.9998  loss_cls_b22: 1.11  loss_cls_b3: 0.7151  loss_cls_b31: 1.244  loss_cls_b32: 1.068  loss_cls_b33: 1.452  loss_triplet_b1: 0.02182  loss_triplet_b2: 0.01677  loss_triplet_b3: 0.01781  loss_triplet_b22: 0.01116  loss_triplet_b33: 0.01424  time: 0.3084  data_time: 0.0005  lr: 3.30e-04  max_mem: 19407M
[04/22 15:42:31] fastreid.utils.events INFO:  eta: 0:26:33  iter: 7199  total_loss: 7.683  loss_cls_b1: 0.7232  loss_cls_b2: 0.6452  loss_cls_b21: 1.04  loss_cls_b22: 0.9942  loss_cls_b3: 0.6485  loss_cls_b31: 1.198  loss_cls_b32: 1.008  loss_cls_b33: 1.406  loss_triplet_b1: 0.01648  loss_triplet_b2: 0.01082  loss_triplet_b3: 0.01257  loss_triplet_b22: 0.01095  loss_triplet_b33: 0.01029  time: 0.3088  data_time: 0.0005  lr: 3.20e-04  max_mem: 19407M
[04/22 15:43:36] fastreid.utils.events INFO:  eta: 0:25:29  iter: 7399  total_loss: 6.974  loss_cls_b1: 0.6726  loss_cls_b2: 0.569  loss_cls_b21: 0.9239  loss_cls_b22: 1.049  loss_cls_b3: 0.5652  loss_cls_b31: 1.007  loss_cls_b32: 0.9048  loss_cls_b33: 1.192  loss_triplet_b1: 0.01359  loss_triplet_b2: 0.00941  loss_triplet_b3: 0.007707  loss_triplet_b22: 0.01203  loss_triplet_b33: 0.005641  time: 0.3093  data_time: 0.0005  lr: 3.10e-04  max_mem: 19407M
[04/22 15:44:42] fastreid.utils.events INFO:  eta: 0:24:23  iter: 7599  total_loss: 6.862  loss_cls_b1: 0.6898  loss_cls_b2: 0.6197  loss_cls_b21: 0.9058  loss_cls_b22: 1.013  loss_cls_b3: 0.5814  loss_cls_b31: 1.149  loss_cls_b32: 0.948  loss_cls_b33: 1.264  loss_triplet_b1: 0.01799  loss_triplet_b2: 0.01238  loss_triplet_b3: 0.01425  loss_triplet_b22: 0.01194  loss_triplet_b33: 0.01036  time: 0.3097  data_time: 0.0006  lr: 2.97e-04  max_mem: 19407M
[04/22 15:45:47] fastreid.utils.events INFO:  eta: 0:23:19  iter: 7799  total_loss: 7.345  loss_cls_b1: 0.7479  loss_cls_b2: 0.5995  loss_cls_b21: 0.9233  loss_cls_b22: 1.046  loss_cls_b3: 0.5888  loss_cls_b31: 1.058  loss_cls_b32: 1.016  loss_cls_b33: 1.312  loss_triplet_b1: 0.01747  loss_triplet_b2: 0.01061  loss_triplet_b3: 0.01004  loss_triplet_b22: 0.009764  loss_triplet_b33: 0.009219  time: 0.3100  data_time: 0.0005  lr: 2.84e-04  max_mem: 19407M
[04/22 15:46:52] fastreid.utils.events INFO:  eta: 0:22:14  iter: 7999  total_loss: 6.612  loss_cls_b1: 0.6009  loss_cls_b2: 0.5782  loss_cls_b21: 0.8043  loss_cls_b22: 0.9297  loss_cls_b3: 0.5721  loss_cls_b31: 0.9748  loss_cls_b32: 0.8787  loss_cls_b33: 1.151  loss_triplet_b1: 0.01309  loss_triplet_b2: 0.008989  loss_triplet_b3: 0.008768  loss_triplet_b22: 0.008073  loss_triplet_b33: 0.00872  time: 0.3104  data_time: 0.0005  lr: 2.69e-04  max_mem: 19407M
[04/22 15:47:57] fastreid.utils.events INFO:  eta: 0:21:09  iter: 8199  total_loss: 6.057  loss_cls_b1: 0.5826  loss_cls_b2: 0.5106  loss_cls_b21: 0.7353  loss_cls_b22: 0.8698  loss_cls_b3: 0.5006  loss_cls_b31: 0.9725  loss_cls_b32: 0.8244  loss_cls_b33: 1.114  loss_triplet_b1: 0.007608  loss_triplet_b2: 0.007906  loss_triplet_b3: 0.007575  loss_triplet_b22: 0.006166  loss_triplet_b33: 0.004682  time: 0.3107  data_time: 0.0005  lr: 2.53e-04  max_mem: 19407M
[04/22 15:49:03] fastreid.utils.events INFO:  eta: 0:20:05  iter: 8399  total_loss: 5.519  loss_cls_b1: 0.5318  loss_cls_b2: 0.4746  loss_cls_b21: 0.7561  loss_cls_b22: 0.7928  loss_cls_b3: 0.4622  loss_cls_b31: 0.8742  loss_cls_b32: 0.7788  loss_cls_b33: 1.096  loss_triplet_b1: 0.008113  loss_triplet_b2: 0.007619  loss_triplet_b3: 0.007465  loss_triplet_b22: 0.007864  loss_triplet_b33: 0.005187  time: 0.3111  data_time: 0.0005  lr: 2.37e-04  max_mem: 19407M
[04/22 15:50:08] fastreid.utils.events INFO:  eta: 0:19:00  iter: 8599  total_loss: 5.852  loss_cls_b1: 0.5632  loss_cls_b2: 0.4484  loss_cls_b21: 0.769  loss_cls_b22: 0.8014  loss_cls_b3: 0.4654  loss_cls_b31: 0.935  loss_cls_b32: 0.7759  loss_cls_b33: 0.9846  loss_triplet_b1: 0.01166  loss_triplet_b2: 0.008178  loss_triplet_b3: 0.008364  loss_triplet_b22: 0.006116  loss_triplet_b33: 0.004951  time: 0.3114  data_time: 0.0005  lr: 2.19e-04  max_mem: 19407M
[04/22 15:51:14] fastreid.utils.events INFO:  eta: 0:17:56  iter: 8799  total_loss: 5.896  loss_cls_b1: 0.5409  loss_cls_b2: 0.4764  loss_cls_b21: 0.6946  loss_cls_b22: 0.8167  loss_cls_b3: 0.4542  loss_cls_b31: 0.8432  loss_cls_b32: 0.7636  loss_cls_b33: 1.063  loss_triplet_b1: 0.01491  loss_triplet_b2: 0.008712  loss_triplet_b3: 0.01057  loss_triplet_b22: 0.009864  loss_triplet_b33: 0.005795  time: 0.3117  data_time: 0.0005  lr: 2.02e-04  max_mem: 19407M
[04/22 15:52:19] fastreid.utils.events INFO:  eta: 0:16:51  iter: 8999  total_loss: 5.4  loss_cls_b1: 0.5222  loss_cls_b2: 0.4844  loss_cls_b21: 0.6803  loss_cls_b22: 0.6942  loss_cls_b3: 0.4777  loss_cls_b31: 0.781  loss_cls_b32: 0.7496  loss_cls_b33: 0.8751  loss_triplet_b1: 0.01171  loss_triplet_b2: 0.01091  loss_triplet_b3: 0.01023  loss_triplet_b22: 0.006114  loss_triplet_b33: 0.006526  time: 0.3120  data_time: 0.0005  lr: 1.84e-04  max_mem: 19407M
[04/22 15:53:24] fastreid.utils.events INFO:  eta: 0:15:46  iter: 9199  total_loss: 5.147  loss_cls_b1: 0.4432  loss_cls_b2: 0.3899  loss_cls_b21: 0.658  loss_cls_b22: 0.6662  loss_cls_b3: 0.403  loss_cls_b31: 0.7773  loss_cls_b32: 0.6083  loss_cls_b33: 0.9336  loss_triplet_b1: 0.008515  loss_triplet_b2: 0.00607  loss_triplet_b3: 0.007217  loss_triplet_b22: 0.004428  loss_triplet_b33: 0.004096  time: 0.3122  data_time: 0.0005  lr: 1.66e-04  max_mem: 19407M
[04/22 15:54:29] fastreid.utils.events INFO:  eta: 0:14:41  iter: 9399  total_loss: 4.779  loss_cls_b1: 0.4028  loss_cls_b2: 0.3643  loss_cls_b21: 0.6349  loss_cls_b22: 0.6613  loss_cls_b3: 0.3671  loss_cls_b31: 0.7343  loss_cls_b32: 0.6145  loss_cls_b33: 0.8557  loss_triplet_b1: 0.008134  loss_triplet_b2: 0.008206  loss_triplet_b3: 0.006158  loss_triplet_b22: 0.005553  loss_triplet_b33: 0.005536  time: 0.3125  data_time: 0.0005  lr: 1.48e-04  max_mem: 19407M
[04/22 15:55:35] fastreid.utils.events INFO:  eta: 0:13:36  iter: 9599  total_loss: 4.239  loss_cls_b1: 0.393  loss_cls_b2: 0.3304  loss_cls_b21: 0.5525  loss_cls_b22: 0.5385  loss_cls_b3: 0.3587  loss_cls_b31: 0.6514  loss_cls_b32: 0.5442  loss_cls_b33: 0.7782  loss_triplet_b1: 0.004848  loss_triplet_b2: 0.003882  loss_triplet_b3: 0.004128  loss_triplet_b22: 0.002928  loss_triplet_b33: 0.001682  time: 0.3128  data_time: 0.0005  lr: 1.30e-04  max_mem: 19407M
[04/22 15:56:40] fastreid.utils.events INFO:  eta: 0:12:31  iter: 9799  total_loss: 4.331  loss_cls_b1: 0.4027  loss_cls_b2: 0.3279  loss_cls_b21: 0.5125  loss_cls_b22: 0.5953  loss_cls_b3: 0.3468  loss_cls_b31: 0.6638  loss_cls_b32: 0.6433  loss_cls_b33: 0.8861  loss_triplet_b1: 0.004588  loss_triplet_b2: 0.004969  loss_triplet_b3: 0.005879  loss_triplet_b22: 0.002012  loss_triplet_b33: 0.001659  time: 0.3130  data_time: 0.0005  lr: 1.13e-04  max_mem: 19407M
[04/22 15:57:45] fastreid.utils.events INFO:  eta: 0:11:27  iter: 9999  total_loss: 4.071  loss_cls_b1: 0.3523  loss_cls_b2: 0.3163  loss_cls_b21: 0.5144  loss_cls_b22: 0.5228  loss_cls_b3: 0.331  loss_cls_b31: 0.629  loss_cls_b32: 0.5402  loss_cls_b33: 0.8367  loss_triplet_b1: 0.004501  loss_triplet_b2: 0.003791  loss_triplet_b3: 0.004213  loss_triplet_b22: 0.002689  loss_triplet_b33: 0.00205  time: 0.3132  data_time: 0.0005  lr: 9.61e-05  max_mem: 19407M
[04/22 15:58:51] fastreid.utils.events INFO:  eta: 0:10:22  iter: 10199  total_loss: 3.478  loss_cls_b1: 0.3078  loss_cls_b2: 0.2705  loss_cls_b21: 0.4733  loss_cls_b22: 0.4867  loss_cls_b3: 0.2662  loss_cls_b31: 0.5794  loss_cls_b32: 0.4954  loss_cls_b33: 0.6856  loss_triplet_b1: 0.002636  loss_triplet_b2: 0.002107  loss_triplet_b3: 0.00212  loss_triplet_b22: 0.001334  loss_triplet_b33: 0.0007859  time: 0.3134  data_time: 0.0005  lr: 8.04e-05  max_mem: 19407M
[04/22 15:59:56] fastreid.utils.events INFO:  eta: 0:09:17  iter: 10399  total_loss: 3.296  loss_cls_b1: 0.2992  loss_cls_b2: 0.2593  loss_cls_b21: 0.4216  loss_cls_b22: 0.4392  loss_cls_b3: 0.2571  loss_cls_b31: 0.5467  loss_cls_b32: 0.4428  loss_cls_b33: 0.6449  loss_triplet_b1: 0.00295  loss_triplet_b2: 0.002203  loss_triplet_b3: 0.002791  loss_triplet_b22: 0.001067  loss_triplet_b33: 0.0007761  time: 0.3137  data_time: 0.0005  lr: 6.58e-05  max_mem: 19407M
[04/22 16:01:02] fastreid.utils.events INFO:  eta: 0:08:13  iter: 10599  total_loss: 3.263  loss_cls_b1: 0.2703  loss_cls_b2: 0.2531  loss_cls_b21: 0.4513  loss_cls_b22: 0.3914  loss_cls_b3: 0.2669  loss_cls_b31: 0.5186  loss_cls_b32: 0.4389  loss_cls_b33: 0.5593  loss_triplet_b1: 0.003163  loss_triplet_b2: 0.003241  loss_triplet_b3: 0.003714  loss_triplet_b22: 0.001721  loss_triplet_b33: 0.001515  time: 0.3139  data_time: 0.0005  lr: 5.23e-05  max_mem: 19407M
[04/22 16:02:07] fastreid.utils.events INFO:  eta: 0:07:08  iter: 10799  total_loss: 3.254  loss_cls_b1: 0.2841  loss_cls_b2: 0.2539  loss_cls_b21: 0.3928  loss_cls_b22: 0.4461  loss_cls_b3: 0.2552  loss_cls_b31: 0.4701  loss_cls_b32: 0.4879  loss_cls_b33: 0.6368  loss_triplet_b1: 0.002513  loss_triplet_b2: 0.001972  loss_triplet_b3: 0.002736  loss_triplet_b22: 0.001354  loss_triplet_b33: 0.00137  time: 0.3141  data_time: 0.0005  lr: 4.01e-05  max_mem: 19407M
[04/22 16:03:12] fastreid.utils.events INFO:  eta: 0:06:03  iter: 10999  total_loss: 3.065  loss_cls_b1: 0.2664  loss_cls_b2: 0.2416  loss_cls_b21: 0.3879  loss_cls_b22: 0.4138  loss_cls_b3: 0.2404  loss_cls_b31: 0.4972  loss_cls_b32: 0.399  loss_cls_b33: 0.564  loss_triplet_b1: 0.003013  loss_triplet_b2: 0.001821  loss_triplet_b3: 0.002077  loss_triplet_b22: 0.0009248  loss_triplet_b33: 0.0005569  time: 0.3143  data_time: 0.0005  lr: 2.94e-05  max_mem: 19407M
[04/22 16:04:18] fastreid.utils.events INFO:  eta: 0:04:58  iter: 11199  total_loss: 3.011  loss_cls_b1: 0.2657  loss_cls_b2: 0.2406  loss_cls_b21: 0.4195  loss_cls_b22: 0.3806  loss_cls_b3: 0.2494  loss_cls_b31: 0.5088  loss_cls_b32: 0.4222  loss_cls_b33: 0.5633  loss_triplet_b1: 0.003124  loss_triplet_b2: 0.002208  loss_triplet_b3: 0.003105  loss_triplet_b22: 0.002234  loss_triplet_b33: 0.00123  time: 0.3145  data_time: 0.0005  lr: 2.03e-05  max_mem: 19407M
[04/22 16:05:23] fastreid.utils.events INFO:  eta: 0:03:53  iter: 11399  total_loss: 2.885  loss_cls_b1: 0.258  loss_cls_b2: 0.2411  loss_cls_b21: 0.3759  loss_cls_b22: 0.4213  loss_cls_b3: 0.2727  loss_cls_b31: 0.4434  loss_cls_b32: 0.4363  loss_cls_b33: 0.5453  loss_triplet_b1: 0.00361  loss_triplet_b2: 0.002751  loss_triplet_b3: 0.00504  loss_triplet_b22: 0.002205  loss_triplet_b33: 0.001656  time: 0.3146  data_time: 0.0006  lr: 1.28e-05  max_mem: 19407M
[04/22 16:06:29] fastreid.utils.events INFO:  eta: 0:02:48  iter: 11599  total_loss: 2.797  loss_cls_b1: 0.2468  loss_cls_b2: 0.2299  loss_cls_b21: 0.3858  loss_cls_b22: 0.3597  loss_cls_b3: 0.2549  loss_cls_b31: 0.4607  loss_cls_b32: 0.3799  loss_cls_b33: 0.4713  loss_triplet_b1: 0.001629  loss_triplet_b2: 0.002204  loss_triplet_b3: 0.001614  loss_triplet_b22: 0.0009911  loss_triplet_b33: 0.0003476  time: 0.3148  data_time: 0.0005  lr: 7.10e-06  max_mem: 19407M
[04/22 16:07:34] fastreid.utils.events INFO:  eta: 0:01:44  iter: 11799  total_loss: 3.088  loss_cls_b1: 0.2656  loss_cls_b2: 0.245  loss_cls_b21: 0.414  loss_cls_b22: 0.3985  loss_cls_b3: 0.256  loss_cls_b31: 0.519  loss_cls_b32: 0.4244  loss_cls_b33: 0.4956  loss_triplet_b1: 0.004945  loss_triplet_b2: 0.002591  loss_triplet_b3: 0.004278  loss_triplet_b22: 0.001238  loss_triplet_b33: 0.002097  time: 0.3150  data_time: 0.0005  lr: 3.18e-06  max_mem: 19407M
[04/22 16:08:40] fastreid.utils.events INFO:  eta: 0:00:39  iter: 11999  total_loss: 3.071  loss_cls_b1: 0.2455  loss_cls_b2: 0.2278  loss_cls_b21: 0.3935  loss_cls_b22: 0.3884  loss_cls_b3: 0.2466  loss_cls_b31: 0.5135  loss_cls_b32: 0.4096  loss_cls_b33: 0.5766  loss_triplet_b1: 0.003455  loss_triplet_b2: 0.002555  loss_triplet_b3: 0.002939  loss_triplet_b22: 0.0009801  loss_triplet_b33: 0.001125  time: 0.3152  data_time: 0.0005  lr: 1.11e-06  max_mem: 19407M
[04/22 16:09:19] fastreid.engine.defaults INFO: Prepare testing set
[04/22 16:09:19] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| query    | 750     | 3368       | 6           |
| gallery  | 751     | 15913      | 6           |[0m
[04/22 16:09:19] fastreid.evaluation.evaluator INFO: Start inference on 19281 images
[04/22 16:09:29] fastreid.evaluation.evaluator INFO: Inference done 11/151. 0.0451 s / batch. ETA=0:00:11
[04/22 16:09:44] fastreid.evaluation.evaluator INFO: Total inference time: 0:00:15.092412 (0.103373 s / batch per device)
[04/22 16:09:44] fastreid.evaluation.evaluator INFO: Total inference pure compute time: 0:00:07 (0.053406 s / batch per device)
[04/22 16:11:08] fastreid.evaluation.testing INFO: Evaluation results in csv format: 
[36m| Datasets   | Rank-1   | Rank-5   | Rank-10   | mAP    | mINP   |
|:-----------|:---------|:---------|:----------|:-------|:-------|
| CMDM       | 97.30%   | 99.17%   | 99.55%    | 93.29% | 77.85% |[0m
[04/22 16:11:08] fastreid.utils.events INFO:  eta: 0:00:00  iter: 12119  total_loss: 2.862  loss_cls_b1: 0.2407  loss_cls_b2: 0.2303  loss_cls_b21: 0.3892  loss_cls_b22: 0.3629  loss_cls_b3: 0.2355  loss_cls_b31: 0.4185  loss_cls_b32: 0.4028  loss_cls_b33: 0.489  loss_triplet_b1: 0.003037  loss_triplet_b2: 0.002554  loss_triplet_b3: 0.002538  loss_triplet_b22: 0.001125  loss_triplet_b33: 0.0008732  time: 0.3153  data_time: 0.0005  lr: 7.70e-07  max_mem: 19407M
[04/22 16:11:08] fastreid.engine.hooks INFO: Overall training speed: 12117 iterations in 1:03:40 (0.3153 s / it)
[04/22 16:11:08] fastreid.engine.hooks INFO: Total training time: 1:07:00 (0:03:19 on hooks)
