[04/30 12:50:22] fastreid INFO: Rank of current process: 0. World size: 4
[04/30 12:50:22] 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, 

[04/30 12:50:22] fastreid INFO: Command line arguments: Namespace(config_file='configs/CMDM/market1501_mgn_R101_lion.yml', finetune=False, resume=False, eval_only=False, num_gpus=4, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:41934', opts=[])
[04/30 12:50:22] fastreid INFO: Contents of args.config_file=configs/CMDM/market1501_mgn_R101_lion.yml:
_BASE_: "../Base-MGN.yml"

MODEL:
  BACKBONE:
    WITH_IBN: False
    EXTRA_BN: True
    DEPTH: "101x"
    PRETRAIN_PATH: "/home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet101.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/ResNet101_LION_MGN"

[04/30 12:50:22] 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.pth
    WITH_IBN: False
    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/ResNet101_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
[04/30 12:50:22] fastreid INFO: Full config saved to /home/ma-user/work/Projects/ReIDNet_Finetune/FastReID/logs/market/ResNet101_LION_MGN/config.yaml
[04/30 12:50:22] fastreid.utils.env INFO: Using a generated random seed 23167036
[04/30 12:50:22] fastreid.engine.defaults INFO: Prepare training set
[04/30 12:50:23] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| train    | 751     | 12936      | 6           |[0m
[04/30 12:50:23] 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.
[04/30 12:50:24] fastreid.modeling.backbones.resnet INFO: Loading pretrained model from /home/ma-user/work/Projects/ReIDNets_Checkpoints_TransReID/ResNet101.pth
[04/30 12:50:43] fastreid.engine.defaults INFO: Freeze layer group "backbone,b1,b2,b3" training for 2020 iterations
[04/30 12:50:43] fastreid.utils.checkpoint INFO: No checkpoint found. Training model from scratch
[04/30 12:50:43] fastreid.engine.train_loop INFO: Starting training from iteration 0
[04/30 12:52:30] fastreid.utils.events INFO:  eta: 1:38:44  iter: 199  total_loss: 55.9  loss_cls_b1: 6.314  loss_cls_b2: 6.339  loss_cls_b21: 6.404  loss_cls_b22: 6.348  loss_cls_b3: 6.295  loss_cls_b31: 6.38  loss_cls_b32: 6.422  loss_cls_b33: 6.326  loss_triplet_b1: 0.8204  loss_triplet_b2: 0.771  loss_triplet_b3: 0.7797  loss_triplet_b22: 1.124  loss_triplet_b33: 1.513  time: 0.4998  data_time: 0.0005  lr: 3.76e-05  max_mem: 20454M
[04/30 12:54:11] fastreid.utils.events INFO:  eta: 1:37:03  iter: 399  total_loss: 54.12  loss_cls_b1: 6.172  loss_cls_b2: 6.222  loss_cls_b21: 6.202  loss_cls_b22: 6.193  loss_cls_b3: 6.218  loss_cls_b31: 6.209  loss_cls_b32: 6.204  loss_cls_b33: 6.276  loss_triplet_b1: 0.7512  loss_triplet_b2: 0.7658  loss_triplet_b3: 0.7544  loss_triplet_b22: 1.03  loss_triplet_b33: 1.361  time: 0.4980  data_time: 0.0005  lr: 7.19e-05  max_mem: 20454M
[04/30 12:55:51] fastreid.utils.events INFO:  eta: 1:35:23  iter: 599  total_loss: 53.34  loss_cls_b1: 6.149  loss_cls_b2: 6.116  loss_cls_b21: 6.088  loss_cls_b22: 6.112  loss_cls_b3: 6.172  loss_cls_b31: 6.181  loss_cls_b32: 6.009  loss_cls_b33: 6.054  loss_triplet_b1: 0.6587  loss_triplet_b2: 0.6796  loss_triplet_b3: 0.6834  loss_triplet_b22: 0.9179  loss_triplet_b33: 1.323  time: 0.4978  data_time: 0.0005  lr: 1.06e-04  max_mem: 20454M
[04/30 12:57:32] fastreid.utils.events INFO:  eta: 1:33:42  iter: 799  total_loss: 49.71  loss_cls_b1: 5.763  loss_cls_b2: 5.814  loss_cls_b21: 5.86  loss_cls_b22: 5.843  loss_cls_b3: 5.631  loss_cls_b31: 5.746  loss_cls_b32: 5.81  loss_cls_b33: 5.912  loss_triplet_b1: 0.5733  loss_triplet_b2: 0.5368  loss_triplet_b3: 0.5549  loss_triplet_b22: 0.7691  loss_triplet_b33: 1.04  time: 0.4972  data_time: 0.0005  lr: 1.41e-04  max_mem: 20454M
[04/30 12:59:13] fastreid.utils.events INFO:  eta: 1:32:02  iter: 999  total_loss: 47.71  loss_cls_b1: 5.499  loss_cls_b2: 5.419  loss_cls_b21: 5.456  loss_cls_b22: 5.545  loss_cls_b3: 5.371  loss_cls_b31: 5.613  loss_cls_b32: 5.594  loss_cls_b33: 5.607  loss_triplet_b1: 0.5405  loss_triplet_b2: 0.5266  loss_triplet_b3: 0.5216  loss_triplet_b22: 0.73  loss_triplet_b33: 1.008  time: 0.4969  data_time: 0.0005  lr: 1.75e-04  max_mem: 20454M
[04/30 13:00:53] fastreid.utils.events INFO:  eta: 1:30:20  iter: 1199  total_loss: 43.01  loss_cls_b1: 4.838  loss_cls_b2: 4.911  loss_cls_b21: 4.944  loss_cls_b22: 5.1  loss_cls_b3: 4.95  loss_cls_b31: 5.05  loss_cls_b32: 5.022  loss_cls_b33: 5.155  loss_triplet_b1: 0.4415  loss_triplet_b2: 0.4597  loss_triplet_b3: 0.4373  loss_triplet_b22: 0.6324  loss_triplet_b33: 0.7533  time: 0.4967  data_time: 0.0005  lr: 2.09e-04  max_mem: 20454M
[04/30 13:02:34] fastreid.utils.events INFO:  eta: 1:28:41  iter: 1399  total_loss: 39.59  loss_cls_b1: 4.569  loss_cls_b2: 4.538  loss_cls_b21: 4.614  loss_cls_b22: 4.836  loss_cls_b3: 4.55  loss_cls_b31: 4.738  loss_cls_b32: 4.766  loss_cls_b33: 4.829  loss_triplet_b1: 0.4238  loss_triplet_b2: 0.4327  loss_triplet_b3: 0.4119  loss_triplet_b22: 0.49  loss_triplet_b33: 0.7027  time: 0.4969  data_time: 0.0005  lr: 2.43e-04  max_mem: 20454M
[04/30 13:04:14] fastreid.utils.events INFO:  eta: 1:27:01  iter: 1599  total_loss: 36.35  loss_cls_b1: 4.024  loss_cls_b2: 4.123  loss_cls_b21: 4.26  loss_cls_b22: 4.288  loss_cls_b3: 4.092  loss_cls_b31: 4.337  loss_cls_b32: 4.422  loss_cls_b33: 4.471  loss_triplet_b1: 0.3103  loss_triplet_b2: 0.3352  loss_triplet_b3: 0.3264  loss_triplet_b22: 0.387  loss_triplet_b33: 0.5954  time: 0.4967  data_time: 0.0005  lr: 2.78e-04  max_mem: 20454M
[04/30 13:05:55] fastreid.utils.events INFO:  eta: 1:25:23  iter: 1799  total_loss: 33.26  loss_cls_b1: 3.645  loss_cls_b2: 3.652  loss_cls_b21: 3.857  loss_cls_b22: 3.982  loss_cls_b3: 3.869  loss_cls_b31: 4.048  loss_cls_b32: 3.913  loss_cls_b33: 4.273  loss_triplet_b1: 0.307  loss_triplet_b2: 0.3774  loss_triplet_b3: 0.3339  loss_triplet_b22: 0.4066  loss_triplet_b33: 0.5194  time: 0.4966  data_time: 0.0005  lr: 3.12e-04  max_mem: 20454M
[04/30 13:07:36] fastreid.utils.events INFO:  eta: 1:23:44  iter: 1999  total_loss: 29.83  loss_cls_b1: 3.354  loss_cls_b2: 3.3  loss_cls_b21: 3.484  loss_cls_b22: 3.625  loss_cls_b3: 3.385  loss_cls_b31: 3.715  loss_cls_b32: 3.588  loss_cls_b33: 3.872  loss_triplet_b1: 0.2778  loss_triplet_b2: 0.2995  loss_triplet_b3: 0.2922  loss_triplet_b22: 0.3536  loss_triplet_b33: 0.5079  time: 0.4967  data_time: 0.0005  lr: 3.46e-04  max_mem: 20454M
[04/30 13:09:28] fastreid.utils.events INFO:  eta: 1:22:14  iter: 2199  total_loss: 31.82  loss_cls_b1: 3.682  loss_cls_b2: 3.553  loss_cls_b21: 3.789  loss_cls_b22: 3.776  loss_cls_b3: 3.552  loss_cls_b31: 4.093  loss_cls_b32: 3.78  loss_cls_b33: 3.899  loss_triplet_b1: 0.2874  loss_triplet_b2: 0.2395  loss_triplet_b3: 0.2391  loss_triplet_b22: 0.2646  loss_triplet_b33: 0.3632  time: 0.5016  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:11:22] fastreid.utils.events INFO:  eta: 1:20:49  iter: 2399  total_loss: 26.24  loss_cls_b1: 2.909  loss_cls_b2: 2.886  loss_cls_b21: 3.21  loss_cls_b22: 3.296  loss_cls_b3: 2.767  loss_cls_b31: 3.36  loss_cls_b32: 3.2  loss_cls_b33: 3.378  loss_triplet_b1: 0.1731  loss_triplet_b2: 0.1415  loss_triplet_b3: 0.1273  loss_triplet_b22: 0.1937  loss_triplet_b33: 0.2269  time: 0.5062  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:13:15] fastreid.utils.events INFO:  eta: 1:27:34  iter: 2599  total_loss: 24.25  loss_cls_b1: 2.597  loss_cls_b2: 2.588  loss_cls_b21: 2.921  loss_cls_b22: 2.979  loss_cls_b3: 2.615  loss_cls_b31: 3.231  loss_cls_b32: 2.963  loss_cls_b33: 3.344  loss_triplet_b1: 0.1013  loss_triplet_b2: 0.08628  loss_triplet_b3: 0.074  loss_triplet_b22: 0.0832  loss_triplet_b33: 0.1296  time: 0.5099  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:15:09] fastreid.utils.events INFO:  eta: 1:26:07  iter: 2799  total_loss: 21.05  loss_cls_b1: 2.332  loss_cls_b2: 2.254  loss_cls_b21: 2.631  loss_cls_b22: 2.717  loss_cls_b3: 2.272  loss_cls_b31: 2.984  loss_cls_b32: 2.711  loss_cls_b33: 3.073  loss_triplet_b1: 0.08111  loss_triplet_b2: 0.06908  loss_triplet_b3: 0.05585  loss_triplet_b22: 0.0709  loss_triplet_b33: 0.09596  time: 0.5133  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:17:02] fastreid.utils.events INFO:  eta: 1:24:24  iter: 2999  total_loss: 20.85  loss_cls_b1: 2.211  loss_cls_b2: 2.236  loss_cls_b21: 2.505  loss_cls_b22: 2.681  loss_cls_b3: 2.2  loss_cls_b31: 2.659  loss_cls_b32: 2.497  loss_cls_b33: 3.131  loss_triplet_b1: 0.05928  loss_triplet_b2: 0.05233  loss_triplet_b3: 0.04671  loss_triplet_b22: 0.05724  loss_triplet_b33: 0.06952  time: 0.5161  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:18:56] fastreid.utils.events INFO:  eta: 1:22:34  iter: 3199  total_loss: 18.89  loss_cls_b1: 2.028  loss_cls_b2: 1.916  loss_cls_b21: 2.384  loss_cls_b22: 2.408  loss_cls_b3: 2  loss_cls_b31: 2.728  loss_cls_b32: 2.28  loss_cls_b33: 2.829  loss_triplet_b1: 0.06563  loss_triplet_b2: 0.04498  loss_triplet_b3: 0.04575  loss_triplet_b22: 0.05354  loss_triplet_b33: 0.06367  time: 0.5186  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:20:49] fastreid.utils.events INFO:  eta: 1:20:42  iter: 3399  total_loss: 17.86  loss_cls_b1: 1.831  loss_cls_b2: 1.795  loss_cls_b21: 2.253  loss_cls_b22: 2.211  loss_cls_b3: 1.828  loss_cls_b31: 2.413  loss_cls_b32: 2.182  loss_cls_b33: 2.687  loss_triplet_b1: 0.0655  loss_triplet_b2: 0.05273  loss_triplet_b3: 0.04244  loss_triplet_b22: 0.04408  loss_triplet_b33: 0.05193  time: 0.5208  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:22:43] fastreid.utils.events INFO:  eta: 1:18:52  iter: 3599  total_loss: 15.81  loss_cls_b1: 1.636  loss_cls_b2: 1.572  loss_cls_b21: 1.996  loss_cls_b22: 2.072  loss_cls_b3: 1.551  loss_cls_b31: 2.283  loss_cls_b32: 1.888  loss_cls_b33: 2.436  loss_triplet_b1: 0.02678  loss_triplet_b2: 0.01912  loss_triplet_b3: 0.01604  loss_triplet_b22: 0.02488  loss_triplet_b33: 0.02082  time: 0.5228  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:24:36] fastreid.utils.events INFO:  eta: 1:17:02  iter: 3799  total_loss: 15.88  loss_cls_b1: 1.512  loss_cls_b2: 1.54  loss_cls_b21: 1.897  loss_cls_b22: 2.075  loss_cls_b3: 1.561  loss_cls_b31: 2.354  loss_cls_b32: 1.976  loss_cls_b33: 2.579  loss_triplet_b1: 0.04914  loss_triplet_b2: 0.03796  loss_triplet_b3: 0.0386  loss_triplet_b22: 0.04025  loss_triplet_b33: 0.04906  time: 0.5246  data_time: 0.0006  lr: 3.50e-04  max_mem: 20454M
[04/30 13:26:30] fastreid.utils.events INFO:  eta: 1:15:10  iter: 3999  total_loss: 16.34  loss_cls_b1: 1.721  loss_cls_b2: 1.568  loss_cls_b21: 2.016  loss_cls_b22: 2.161  loss_cls_b3: 1.652  loss_cls_b31: 2.329  loss_cls_b32: 1.955  loss_cls_b33: 2.658  loss_triplet_b1: 0.05055  loss_triplet_b2: 0.04036  loss_triplet_b3: 0.04395  loss_triplet_b22: 0.05754  loss_triplet_b33: 0.04  time: 0.5261  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:28:24] fastreid.utils.events INFO:  eta: 1:13:20  iter: 4199  total_loss: 15.62  loss_cls_b1: 1.628  loss_cls_b2: 1.474  loss_cls_b21: 2.007  loss_cls_b22: 1.982  loss_cls_b3: 1.581  loss_cls_b31: 2.364  loss_cls_b32: 1.923  loss_cls_b33: 2.487  loss_triplet_b1: 0.05095  loss_triplet_b2: 0.02078  loss_triplet_b3: 0.04136  loss_triplet_b22: 0.03986  loss_triplet_b33: 0.03792  time: 0.5276  data_time: 0.0004  lr: 3.50e-04  max_mem: 20454M
[04/30 13:30:17] fastreid.utils.events INFO:  eta: 1:11:29  iter: 4399  total_loss: 15.16  loss_cls_b1: 1.554  loss_cls_b2: 1.418  loss_cls_b21: 1.834  loss_cls_b22: 1.959  loss_cls_b3: 1.436  loss_cls_b31: 2.199  loss_cls_b32: 1.871  loss_cls_b33: 2.542  loss_triplet_b1: 0.05709  loss_triplet_b2: 0.03205  loss_triplet_b3: 0.04347  loss_triplet_b22: 0.04704  loss_triplet_b33: 0.07035  time: 0.5289  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:32:11] fastreid.utils.events INFO:  eta: 1:09:37  iter: 4599  total_loss: 13.95  loss_cls_b1: 1.358  loss_cls_b2: 1.298  loss_cls_b21: 1.666  loss_cls_b22: 1.809  loss_cls_b3: 1.278  loss_cls_b31: 2.119  loss_cls_b32: 1.66  loss_cls_b33: 2.376  loss_triplet_b1: 0.03908  loss_triplet_b2: 0.02793  loss_triplet_b3: 0.02716  loss_triplet_b22: 0.03102  loss_triplet_b33: 0.0467  time: 0.5301  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:34:04] fastreid.utils.events INFO:  eta: 1:07:46  iter: 4799  total_loss: 13.26  loss_cls_b1: 1.251  loss_cls_b2: 1.162  loss_cls_b21: 1.583  loss_cls_b22: 1.663  loss_cls_b3: 1.164  loss_cls_b31: 1.939  loss_cls_b32: 1.67  loss_cls_b33: 2.226  loss_triplet_b1: 0.02512  loss_triplet_b2: 0.02339  loss_triplet_b3: 0.02387  loss_triplet_b22: 0.02459  loss_triplet_b33: 0.04437  time: 0.5312  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:35:58] fastreid.utils.events INFO:  eta: 1:05:57  iter: 4999  total_loss: 12.5  loss_cls_b1: 1.242  loss_cls_b2: 1.168  loss_cls_b21: 1.705  loss_cls_b22: 1.557  loss_cls_b3: 1.101  loss_cls_b31: 1.943  loss_cls_b32: 1.556  loss_cls_b33: 2.205  loss_triplet_b1: 0.03158  loss_triplet_b2: 0.02454  loss_triplet_b3: 0.02694  loss_triplet_b22: 0.03167  loss_triplet_b33: 0.04281  time: 0.5323  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:37:52] fastreid.utils.events INFO:  eta: 1:04:06  iter: 5199  total_loss: 12.02  loss_cls_b1: 1.202  loss_cls_b2: 1.059  loss_cls_b21: 1.594  loss_cls_b22: 1.614  loss_cls_b3: 1.122  loss_cls_b31: 1.882  loss_cls_b32: 1.516  loss_cls_b33: 2.15  loss_triplet_b1: 0.03237  loss_triplet_b2: 0.02075  loss_triplet_b3: 0.01597  loss_triplet_b22: 0.01759  loss_triplet_b33: 0.0219  time: 0.5332  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:39:45] fastreid.utils.events INFO:  eta: 1:02:15  iter: 5399  total_loss: 12.56  loss_cls_b1: 1.14  loss_cls_b2: 1.085  loss_cls_b21: 1.599  loss_cls_b22: 1.596  loss_cls_b3: 1.146  loss_cls_b31: 1.884  loss_cls_b32: 1.548  loss_cls_b33: 2.1  loss_triplet_b1: 0.03969  loss_triplet_b2: 0.03635  loss_triplet_b3: 0.02754  loss_triplet_b22: 0.02994  loss_triplet_b33: 0.04079  time: 0.5340  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:41:39] fastreid.utils.events INFO:  eta: 1:00:24  iter: 5599  total_loss: 11.36  loss_cls_b1: 1.07  loss_cls_b2: 1.043  loss_cls_b21: 1.379  loss_cls_b22: 1.44  loss_cls_b3: 1.005  loss_cls_b31: 1.719  loss_cls_b32: 1.436  loss_cls_b33: 2.1  loss_triplet_b1: 0.03423  loss_triplet_b2: 0.02351  loss_triplet_b3: 0.02626  loss_triplet_b22: 0.02692  loss_triplet_b33: 0.03079  time: 0.5349  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:43:33] fastreid.utils.events INFO:  eta: 0:58:33  iter: 5799  total_loss: 11.86  loss_cls_b1: 1.136  loss_cls_b2: 1.027  loss_cls_b21: 1.441  loss_cls_b22: 1.592  loss_cls_b3: 0.9753  loss_cls_b31: 1.788  loss_cls_b32: 1.507  loss_cls_b33: 2.041  loss_triplet_b1: 0.03434  loss_triplet_b2: 0.02637  loss_triplet_b3: 0.02648  loss_triplet_b22: 0.03219  loss_triplet_b33: 0.04012  time: 0.5356  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:45:26] fastreid.utils.events INFO:  eta: 0:56:41  iter: 5999  total_loss: 10.63  loss_cls_b1: 0.9976  loss_cls_b2: 0.9104  loss_cls_b21: 1.36  loss_cls_b22: 1.41  loss_cls_b3: 0.9125  loss_cls_b31: 1.668  loss_cls_b32: 1.293  loss_cls_b33: 1.945  loss_triplet_b1: 0.01647  loss_triplet_b2: 0.01379  loss_triplet_b3: 0.01211  loss_triplet_b22: 0.01979  loss_triplet_b33: 0.01171  time: 0.5363  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:47:20] fastreid.utils.events INFO:  eta: 0:54:51  iter: 6199  total_loss: 9.792  loss_cls_b1: 0.9373  loss_cls_b2: 0.803  loss_cls_b21: 1.298  loss_cls_b22: 1.271  loss_cls_b3: 0.8482  loss_cls_b31: 1.627  loss_cls_b32: 1.198  loss_cls_b33: 1.771  loss_triplet_b1: 0.01899  loss_triplet_b2: 0.01725  loss_triplet_b3: 0.01361  loss_triplet_b22: 0.01898  loss_triplet_b33: 0.01642  time: 0.5370  data_time: 0.0005  lr: 3.50e-04  max_mem: 20454M
[04/30 13:49:14] fastreid.utils.events INFO:  eta: 0:52:59  iter: 6399  total_loss: 10.81  loss_cls_b1: 1.002  loss_cls_b2: 0.8978  loss_cls_b21: 1.361  loss_cls_b22: 1.306  loss_cls_b3: 0.8917  loss_cls_b31: 1.659  loss_cls_b32: 1.292  loss_cls_b33: 1.92  loss_triplet_b1: 0.03038  loss_triplet_b2: 0.02244  loss_triplet_b3: 0.02056  loss_triplet_b22: 0.02723  loss_triplet_b33: 0.03746  time: 0.5376  data_time: 0.0005  lr: 3.47e-04  max_mem: 20454M
[04/30 13:51:07] fastreid.utils.events INFO:  eta: 0:51:08  iter: 6599  total_loss: 9.332  loss_cls_b1: 0.8807  loss_cls_b2: 0.7257  loss_cls_b21: 1.151  loss_cls_b22: 1.193  loss_cls_b3: 0.7383  loss_cls_b31: 1.493  loss_cls_b32: 1.13  loss_cls_b33: 1.735  loss_triplet_b1: 0.02008  loss_triplet_b2: 0.01174  loss_triplet_b3: 0.01573  loss_triplet_b22: 0.02021  loss_triplet_b33: 0.01842  time: 0.5382  data_time: 0.0005  lr: 3.43e-04  max_mem: 20454M
[04/30 13:53:01] fastreid.utils.events INFO:  eta: 0:49:17  iter: 6799  total_loss: 8.992  loss_cls_b1: 0.7897  loss_cls_b2: 0.7053  loss_cls_b21: 1.151  loss_cls_b22: 1.204  loss_cls_b3: 0.6975  loss_cls_b31: 1.36  loss_cls_b32: 1.107  loss_cls_b33: 1.571  loss_triplet_b1: 0.02701  loss_triplet_b2: 0.01946  loss_triplet_b3: 0.01516  loss_triplet_b22: 0.02407  loss_triplet_b33: 0.02409  time: 0.5387  data_time: 0.0005  lr: 3.37e-04  max_mem: 20454M
[04/30 13:54:54] fastreid.utils.events INFO:  eta: 0:47:26  iter: 6999  total_loss: 8.766  loss_cls_b1: 0.8336  loss_cls_b2: 0.7214  loss_cls_b21: 1.072  loss_cls_b22: 1.185  loss_cls_b3: 0.7387  loss_cls_b31: 1.388  loss_cls_b32: 1.103  loss_cls_b33: 1.681  loss_triplet_b1: 0.02757  loss_triplet_b2: 0.01378  loss_triplet_b3: 0.01482  loss_triplet_b22: 0.01378  loss_triplet_b33: 0.01439  time: 0.5392  data_time: 0.0005  lr: 3.30e-04  max_mem: 20454M
[04/30 13:56:48] fastreid.utils.events INFO:  eta: 0:45:34  iter: 7199  total_loss: 9.17  loss_cls_b1: 0.8869  loss_cls_b2: 0.7611  loss_cls_b21: 1.143  loss_cls_b22: 1.114  loss_cls_b3: 0.7381  loss_cls_b31: 1.356  loss_cls_b32: 1.195  loss_cls_b33: 1.66  loss_triplet_b1: 0.02085  loss_triplet_b2: 0.01393  loss_triplet_b3: 0.01091  loss_triplet_b22: 0.01395  loss_triplet_b33: 0.009479  time: 0.5397  data_time: 0.0005  lr: 3.20e-04  max_mem: 20454M
[04/30 13:58:42] fastreid.utils.events INFO:  eta: 0:43:44  iter: 7399  total_loss: 6.975  loss_cls_b1: 0.6683  loss_cls_b2: 0.5429  loss_cls_b21: 0.8822  loss_cls_b22: 1.023  loss_cls_b3: 0.5566  loss_cls_b31: 1.258  loss_cls_b32: 0.9641  loss_cls_b33: 1.497  loss_triplet_b1: 0.0106  loss_triplet_b2: 0.006842  loss_triplet_b3: 0.006234  loss_triplet_b22: 0.007391  loss_triplet_b33: 0.005717  time: 0.5402  data_time: 0.0006  lr: 3.10e-04  max_mem: 20454M
[04/30 14:00:35] fastreid.utils.events INFO:  eta: 0:41:53  iter: 7599  total_loss: 7.637  loss_cls_b1: 0.7135  loss_cls_b2: 0.5961  loss_cls_b21: 0.9625  loss_cls_b22: 0.9642  loss_cls_b3: 0.6622  loss_cls_b31: 1.3  loss_cls_b32: 0.9309  loss_cls_b33: 1.454  loss_triplet_b1: 0.0185  loss_triplet_b2: 0.01138  loss_triplet_b3: 0.01341  loss_triplet_b22: 0.01317  loss_triplet_b33: 0.01483  time: 0.5406  data_time: 0.0006  lr: 2.97e-04  max_mem: 20454M
[04/30 14:02:29] fastreid.utils.events INFO:  eta: 0:40:02  iter: 7799  total_loss: 7.401  loss_cls_b1: 0.6827  loss_cls_b2: 0.6251  loss_cls_b21: 0.9833  loss_cls_b22: 0.9581  loss_cls_b3: 0.5807  loss_cls_b31: 1.243  loss_cls_b32: 0.9196  loss_cls_b33: 1.484  loss_triplet_b1: 0.01448  loss_triplet_b2: 0.008093  loss_triplet_b3: 0.009964  loss_triplet_b22: 0.01124  loss_triplet_b33: 0.01197  time: 0.5411  data_time: 0.0005  lr: 2.84e-04  max_mem: 20454M
[04/30 14:04:23] fastreid.utils.events INFO:  eta: 0:38:12  iter: 7999  total_loss: 7.42  loss_cls_b1: 0.6954  loss_cls_b2: 0.563  loss_cls_b21: 0.9412  loss_cls_b22: 1.008  loss_cls_b3: 0.5579  loss_cls_b31: 1.25  loss_cls_b32: 0.9109  loss_cls_b33: 1.335  loss_triplet_b1: 0.01354  loss_triplet_b2: 0.008134  loss_triplet_b3: 0.008497  loss_triplet_b22: 0.009084  loss_triplet_b33: 0.007266  time: 0.5415  data_time: 0.0005  lr: 2.69e-04  max_mem: 20454M
[04/30 14:06:17] fastreid.utils.events INFO:  eta: 0:36:21  iter: 8199  total_loss: 7.281  loss_cls_b1: 0.7058  loss_cls_b2: 0.5238  loss_cls_b21: 0.8896  loss_cls_b22: 0.9238  loss_cls_b3: 0.5866  loss_cls_b31: 1.154  loss_cls_b32: 0.9579  loss_cls_b33: 1.459  loss_triplet_b1: 0.008107  loss_triplet_b2: 0.0072  loss_triplet_b3: 0.00904  loss_triplet_b22: 0.008141  loss_triplet_b33: 0.008742  time: 0.5418  data_time: 0.0005  lr: 2.53e-04  max_mem: 20454M
[04/30 14:08:11] fastreid.utils.events INFO:  eta: 0:34:29  iter: 8399  total_loss: 6.757  loss_cls_b1: 0.5857  loss_cls_b2: 0.5239  loss_cls_b21: 0.8181  loss_cls_b22: 0.8843  loss_cls_b3: 0.5311  loss_cls_b31: 1.039  loss_cls_b32: 0.8837  loss_cls_b33: 1.167  loss_triplet_b1: 0.01002  loss_triplet_b2: 0.007567  loss_triplet_b3: 0.007184  loss_triplet_b22: 0.007407  loss_triplet_b33: 0.00409  time: 0.5422  data_time: 0.0005  lr: 2.37e-04  max_mem: 20454M
[04/30 14:10:04] fastreid.utils.events INFO:  eta: 0:32:38  iter: 8599  total_loss: 6.635  loss_cls_b1: 0.6103  loss_cls_b2: 0.5039  loss_cls_b21: 0.8286  loss_cls_b22: 0.8128  loss_cls_b3: 0.5275  loss_cls_b31: 1.012  loss_cls_b32: 0.8067  loss_cls_b33: 1.191  loss_triplet_b1: 0.01657  loss_triplet_b2: 0.009898  loss_triplet_b3: 0.01356  loss_triplet_b22: 0.008865  loss_triplet_b33: 0.004653  time: 0.5426  data_time: 0.0005  lr: 2.19e-04  max_mem: 20454M
[04/30 14:11:58] fastreid.utils.events INFO:  eta: 0:30:47  iter: 8799  total_loss: 6.468  loss_cls_b1: 0.619  loss_cls_b2: 0.5143  loss_cls_b21: 0.7824  loss_cls_b22: 0.8215  loss_cls_b3: 0.5066  loss_cls_b31: 1.028  loss_cls_b32: 0.7774  loss_cls_b33: 1.441  loss_triplet_b1: 0.01277  loss_triplet_b2: 0.01003  loss_triplet_b3: 0.006746  loss_triplet_b22: 0.0115  loss_triplet_b33: 0.004607  time: 0.5429  data_time: 0.0005  lr: 2.02e-04  max_mem: 20454M
[04/30 14:13:52] fastreid.utils.events INFO:  eta: 0:28:56  iter: 8999  total_loss: 5.274  loss_cls_b1: 0.4659  loss_cls_b2: 0.4095  loss_cls_b21: 0.6091  loss_cls_b22: 0.7692  loss_cls_b3: 0.4379  loss_cls_b31: 0.8292  loss_cls_b32: 0.6793  loss_cls_b33: 1.101  loss_triplet_b1: 0.00786  loss_triplet_b2: 0.004801  loss_triplet_b3: 0.005979  loss_triplet_b22: 0.004796  loss_triplet_b33: 0.002617  time: 0.5432  data_time: 0.0005  lr: 1.84e-04  max_mem: 20454M
[04/30 14:15:46] fastreid.utils.events INFO:  eta: 0:27:05  iter: 9199  total_loss: 4.957  loss_cls_b1: 0.4132  loss_cls_b2: 0.4067  loss_cls_b21: 0.6367  loss_cls_b22: 0.6623  loss_cls_b3: 0.3625  loss_cls_b31: 0.7919  loss_cls_b32: 0.5798  loss_cls_b33: 1.068  loss_triplet_b1: 0.007236  loss_triplet_b2: 0.005115  loss_triplet_b3: 0.004166  loss_triplet_b22: 0.003504  loss_triplet_b33: 0.003298  time: 0.5435  data_time: 0.0005  lr: 1.66e-04  max_mem: 20454M
[04/30 14:17:39] fastreid.utils.events INFO:  eta: 0:25:13  iter: 9399  total_loss: 4.839  loss_cls_b1: 0.4127  loss_cls_b2: 0.3518  loss_cls_b21: 0.6208  loss_cls_b22: 0.5542  loss_cls_b3: 0.3621  loss_cls_b31: 0.8853  loss_cls_b32: 0.594  loss_cls_b33: 0.9188  loss_triplet_b1: 0.004572  loss_triplet_b2: 0.003423  loss_triplet_b3: 0.003983  loss_triplet_b22: 0.002704  loss_triplet_b33: 0.001827  time: 0.5438  data_time: 0.0005  lr: 1.48e-04  max_mem: 20454M
[04/30 14:19:33] fastreid.utils.events INFO:  eta: 0:23:22  iter: 9599  total_loss: 4.6  loss_cls_b1: 0.3707  loss_cls_b2: 0.3143  loss_cls_b21: 0.5701  loss_cls_b22: 0.6145  loss_cls_b3: 0.3286  loss_cls_b31: 0.8314  loss_cls_b32: 0.5789  loss_cls_b33: 1.066  loss_triplet_b1: 0.004983  loss_triplet_b2: 0.003164  loss_triplet_b3: 0.003555  loss_triplet_b22: 0.002483  loss_triplet_b33: 0.001727  time: 0.5441  data_time: 0.0005  lr: 1.30e-04  max_mem: 20454M
[04/30 14:21:27] fastreid.utils.events INFO:  eta: 0:21:31  iter: 9799  total_loss: 4.181  loss_cls_b1: 0.368  loss_cls_b2: 0.3222  loss_cls_b21: 0.5158  loss_cls_b22: 0.5494  loss_cls_b3: 0.3036  loss_cls_b31: 0.6725  loss_cls_b32: 0.5662  loss_cls_b33: 0.8365  loss_triplet_b1: 0.006052  loss_triplet_b2: 0.0034  loss_triplet_b3: 0.003735  loss_triplet_b22: 0.002644  loss_triplet_b33: 0.001503  time: 0.5444  data_time: 0.0005  lr: 1.13e-04  max_mem: 20454M
[04/30 14:23:21] fastreid.utils.events INFO:  eta: 0:19:40  iter: 9999  total_loss: 5.139  loss_cls_b1: 0.4212  loss_cls_b2: 0.3759  loss_cls_b21: 0.624  loss_cls_b22: 0.659  loss_cls_b3: 0.3676  loss_cls_b31: 0.7933  loss_cls_b32: 0.6346  loss_cls_b33: 0.9646  loss_triplet_b1: 0.006949  loss_triplet_b2: 0.006092  loss_triplet_b3: 0.006258  loss_triplet_b22: 0.004801  loss_triplet_b33: 0.004039  time: 0.5446  data_time: 0.0005  lr: 9.61e-05  max_mem: 20454M
[04/30 14:25:14] fastreid.utils.events INFO:  eta: 0:17:48  iter: 10199  total_loss: 4.155  loss_cls_b1: 0.3224  loss_cls_b2: 0.298  loss_cls_b21: 0.5286  loss_cls_b22: 0.5391  loss_cls_b3: 0.3095  loss_cls_b31: 0.6911  loss_cls_b32: 0.5198  loss_cls_b33: 0.8451  loss_triplet_b1: 0.003117  loss_triplet_b2: 0.003032  loss_triplet_b3: 0.002978  loss_triplet_b22: 0.002432  loss_triplet_b33: 0.001843  time: 0.5448  data_time: 0.0005  lr: 8.04e-05  max_mem: 20454M
[04/30 14:27:08] fastreid.utils.events INFO:  eta: 0:15:57  iter: 10399  total_loss: 3.629  loss_cls_b1: 0.3083  loss_cls_b2: 0.2832  loss_cls_b21: 0.4903  loss_cls_b22: 0.479  loss_cls_b3: 0.2792  loss_cls_b31: 0.6883  loss_cls_b32: 0.5103  loss_cls_b33: 0.7077  loss_triplet_b1: 0.002939  loss_triplet_b2: 0.002052  loss_triplet_b3: 0.002028  loss_triplet_b22: 0.001134  loss_triplet_b33: 0.001164  time: 0.5451  data_time: 0.0005  lr: 6.58e-05  max_mem: 20454M
[04/30 14:29:02] fastreid.utils.events INFO:  eta: 0:14:05  iter: 10599  total_loss: 3.801  loss_cls_b1: 0.3179  loss_cls_b2: 0.2989  loss_cls_b21: 0.4766  loss_cls_b22: 0.4705  loss_cls_b3: 0.2972  loss_cls_b31: 0.6369  loss_cls_b32: 0.4835  loss_cls_b33: 0.6843  loss_triplet_b1: 0.004776  loss_triplet_b2: 0.004  loss_triplet_b3: 0.003362  loss_triplet_b22: 0.002228  loss_triplet_b33: 0.002516  time: 0.5453  data_time: 0.0005  lr: 5.23e-05  max_mem: 20454M
[04/30 14:30:56] fastreid.utils.events INFO:  eta: 0:12:14  iter: 10799  total_loss: 3.637  loss_cls_b1: 0.3176  loss_cls_b2: 0.2729  loss_cls_b21: 0.4701  loss_cls_b22: 0.4508  loss_cls_b3: 0.2839  loss_cls_b31: 0.6892  loss_cls_b32: 0.4561  loss_cls_b33: 0.7142  loss_triplet_b1: 0.004871  loss_triplet_b2: 0.002835  loss_triplet_b3: 0.002871  loss_triplet_b22: 0.002148  loss_triplet_b33: 0.001346  time: 0.5455  data_time: 0.0005  lr: 4.01e-05  max_mem: 20454M
[04/30 14:32:49] fastreid.utils.events INFO:  eta: 0:10:23  iter: 10999  total_loss: 3.442  loss_cls_b1: 0.2856  loss_cls_b2: 0.2527  loss_cls_b21: 0.4562  loss_cls_b22: 0.4225  loss_cls_b3: 0.2597  loss_cls_b31: 0.5882  loss_cls_b32: 0.4545  loss_cls_b33: 0.5571  loss_triplet_b1: 0.003227  loss_triplet_b2: 0.002931  loss_triplet_b3: 0.003093  loss_triplet_b22: 0.002357  loss_triplet_b33: 0.001523  time: 0.5457  data_time: 0.0005  lr: 2.94e-05  max_mem: 20454M
[04/30 14:34:43] fastreid.utils.events INFO:  eta: 0:08:32  iter: 11199  total_loss: 3.592  loss_cls_b1: 0.2947  loss_cls_b2: 0.2635  loss_cls_b21: 0.4662  loss_cls_b22: 0.4364  loss_cls_b3: 0.2694  loss_cls_b31: 0.6453  loss_cls_b32: 0.4524  loss_cls_b33: 0.6707  loss_triplet_b1: 0.004692  loss_triplet_b2: 0.003284  loss_triplet_b3: 0.003473  loss_triplet_b22: 0.001817  loss_triplet_b33: 0.001523  time: 0.5459  data_time: 0.0006  lr: 2.03e-05  max_mem: 20454M
[04/30 14:36:37] fastreid.utils.events INFO:  eta: 0:06:40  iter: 11399  total_loss: 3.377  loss_cls_b1: 0.2807  loss_cls_b2: 0.2658  loss_cls_b21: 0.41  loss_cls_b22: 0.4107  loss_cls_b3: 0.2613  loss_cls_b31: 0.5375  loss_cls_b32: 0.4086  loss_cls_b33: 0.6918  loss_triplet_b1: 0.002142  loss_triplet_b2: 0.001695  loss_triplet_b3: 0.001732  loss_triplet_b22: 0.001933  loss_triplet_b33: 0.001264  time: 0.5461  data_time: 0.0005  lr: 1.28e-05  max_mem: 20454M
[04/30 14:38:30] fastreid.utils.events INFO:  eta: 0:04:49  iter: 11599  total_loss: 3.113  loss_cls_b1: 0.2505  loss_cls_b2: 0.222  loss_cls_b21: 0.3641  loss_cls_b22: 0.4166  loss_cls_b3: 0.2443  loss_cls_b31: 0.5848  loss_cls_b32: 0.4153  loss_cls_b33: 0.5925  loss_triplet_b1: 0.002591  loss_triplet_b2: 0.001253  loss_triplet_b3: 0.001447  loss_triplet_b22: 0.0008121  loss_triplet_b33: 0.0004452  time: 0.5463  data_time: 0.0006  lr: 7.10e-06  max_mem: 20454M
[04/30 14:40:24] fastreid.utils.events INFO:  eta: 0:02:58  iter: 11799  total_loss: 3.153  loss_cls_b1: 0.2597  loss_cls_b2: 0.2398  loss_cls_b21: 0.3809  loss_cls_b22: 0.3942  loss_cls_b3: 0.2365  loss_cls_b31: 0.596  loss_cls_b32: 0.3984  loss_cls_b33: 0.65  loss_triplet_b1: 0.003184  loss_triplet_b2: 0.001538  loss_triplet_b3: 0.001822  loss_triplet_b22: 0.001328  loss_triplet_b33: 0.0006591  time: 0.5465  data_time: 0.0005  lr: 3.18e-06  max_mem: 20454M
[04/30 14:42:18] fastreid.utils.events INFO:  eta: 0:01:07  iter: 11999  total_loss: 3.262  loss_cls_b1: 0.2589  loss_cls_b2: 0.246  loss_cls_b21: 0.4251  loss_cls_b22: 0.3794  loss_cls_b3: 0.2573  loss_cls_b31: 0.5681  loss_cls_b32: 0.4315  loss_cls_b33: 0.6179  loss_triplet_b1: 0.002458  loss_triplet_b2: 0.002178  loss_triplet_b3: 0.002472  loss_triplet_b22: 0.001114  loss_triplet_b33: 0.0008651  time: 0.5467  data_time: 0.0005  lr: 1.11e-06  max_mem: 20454M
[04/30 14:43:26] fastreid.engine.defaults INFO: Prepare testing set
[04/30 14:43:26] fastreid.data.datasets.bases INFO: => Loaded CMDM in csv format: 
[36m| subset   | # ids   | # images   | # cameras   |
|:---------|:--------|:-----------|:------------|
| query    | 750     | 3368       | 6           |
| gallery  | 751     | 15913      | 6           |[0m
[04/30 14:43:26] fastreid.evaluation.evaluator INFO: Start inference on 19281 images
[04/30 14:43:37] fastreid.evaluation.evaluator INFO: Inference done 11/151. 0.0688 s / batch. ETA=0:00:18
[04/30 14:43:57] fastreid.evaluation.evaluator INFO: Total inference time: 0:00:21.066351 (0.144290 s / batch per device)
[04/30 14:43:57] fastreid.evaluation.evaluator INFO: Total inference pure compute time: 0:00:09 (0.061926 s / batch per device)
[04/30 14:45:21] fastreid.evaluation.testing INFO: Evaluation results in csv format: 
[36m| Datasets   | Rank-1   | Rank-5   | Rank-10   | mAP    | mINP   |
|:-----------|:---------|:---------|:----------|:-------|:-------|
| CMDM       | 97.09%   | 99.20%   | 99.50%    | 93.08% | 77.09% |[0m
[04/30 14:45:21] fastreid.utils.events INFO:  eta: 0:00:00  iter: 12119  total_loss: 3.007  loss_cls_b1: 0.2428  loss_cls_b2: 0.2391  loss_cls_b21: 0.3737  loss_cls_b22: 0.3872  loss_cls_b3: 0.2313  loss_cls_b31: 0.5486  loss_cls_b32: 0.4067  loss_cls_b33: 0.6097  loss_triplet_b1: 0.001752  loss_triplet_b2: 0.00162  loss_triplet_b3: 0.001638  loss_triplet_b22: 0.0009517  loss_triplet_b33: 0.0005319  time: 0.5468  data_time: 0.0005  lr: 7.70e-07  max_mem: 20454M
[04/30 14:45:21] fastreid.engine.hooks INFO: Overall training speed: 12117 iterations in 1:50:25 (0.5468 s / it)
[04/30 14:45:21] fastreid.engine.hooks INFO: Total training time: 1:54:31 (0:04:05 on hooks)
