[10/14 08:56:03] detectron2 INFO: Rank of current process: 0. World size: 2
[10/14 08:56:07] detectron2 INFO: Environment info:
-------------------------------  ------------------------------------------------------------------------------------------
sys.platform                     linux
Python                           3.10.15 | packaged by conda-forge | (main, Sep 30 2024, 17:51:04) [GCC 13.3.0]
numpy                            1.26.4
detectron2                       0.6 @/home/chaeyun/.conda/envs/videonemo/lib/python3.10/site-packages/detectron2
Compiler                         GCC 12.3
CUDA compiler                    not available
DETECTRON2_ENV_MODULE            <not set>
PyTorch                          2.1.0+cu118 @/home/chaeyun/.conda/envs/videonemo/lib/python3.10/site-packages/torch
PyTorch debug build              False
torch._C._GLIBCXX_USE_CXX11_ABI  False
GPU available                    Yes
GPU 0,1                          NVIDIA RTX A6000 (arch=8.6)
Driver version                   555.42.02
CUDA_HOME                        /opt/ohpc/pub/apps/cuda/11.3
Pillow                           10.2.0
torchvision                      0.16.0+cu118 @/home/chaeyun/.conda/envs/videonemo/lib/python3.10/site-packages/torchvision
torchvision arch flags           3.5, 5.0, 6.0, 7.0, 7.5, 8.0, 8.6
fvcore                           0.1.5.post20221221
iopath                           0.1.9
cv2                              4.10.0
-------------------------------  ------------------------------------------------------------------------------------------
PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX512
  - CUDA Runtime 11.8
  - NVCC architecture flags: -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;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90
  - CuDNN 8.7
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

[10/14 08:56:07] detectron2 INFO: Command line arguments: Namespace(config_file='configs/dshmp_swin_tiny.yaml', resume=False, eval_only=True, num_gpus=2, num_machines=1, machine_rank=0, dist_url='auto', opts=['MODEL.WEIGHTS', './weights/repro_bs8_ddp_ft/model_final.pth', 'OUTPUT_DIR', './output/valid_u_bs8ckpt'])
[10/14 08:56:07] detectron2 INFO: Contents of args.config_file=configs/dshmp_swin_tiny.yaml:
_BASE_: ./Base-YouTubeVIS-VideoInstanceSegmentation.yaml
MODEL:
  BACKBONE:
    NAME: "D2SwinTransformer"
  SWIN:
    EMBED_DIM: 96
    DEPTHS: [2, 2, 6, 2]
    NUM_HEADS: [3, 6, 12, 24]
    WINDOW_SIZE: 7
    APE: False
    DROP_PATH_RATE: 0.3
    PATCH_NORM: True
  PIXEL_MEAN: [123.675, 116.280, 103.530]
  PIXEL_STD: [58.395, 57.120, 57.37]
  META_ARCHITECTURE: "DsHmp"
  MASK_ON: True
  SEM_SEG_HEAD:
    NAME: "MaskFormerHead"
    IGNORE_VALUE: 255
    NUM_CLASSES: 1
    LOSS_WEIGHT: 1.0
    CONVS_DIM: 256
    MASK_DIM: 256
    NORM: "GN"
    # pixel decoder
    PIXEL_DECODER_NAME: "MSDeformAttnPixelDecoder"
    IN_FEATURES: ["res2", "res3", "res4", "res5"]
    DEFORMABLE_TRANSFORMER_ENCODER_IN_FEATURES: ["res3", "res4", "res5"]
    COMMON_STRIDE: 4
    TRANSFORMER_ENC_LAYERS: 6
  MASK_FORMER:
    TRANSFORMER_DECODER_NAME: "DshmpMultiScaleMaskedTransformerDecoder"
    TRANSFORMER_IN_FEATURE: "multi_scale_pixel_decoder"
    DEEP_SUPERVISION: True
    NO_OBJECT_WEIGHT: 0.1
    CLASS_WEIGHT: 2.0
    MASK_WEIGHT: 5.0
    DICE_WEIGHT: 5.0
    HIDDEN_DIM: 256
    NUM_OBJECT_QUERIES: 20
    NHEADS: 8
    DROPOUT: 0.0
    DIM_FEEDFORWARD: 2048
    ENC_LAYERS: 0
    PRE_NORM: False
    ENFORCE_INPUT_PROJ: False
    SIZE_DIVISIBILITY: 32
    DEC_LAYERS: 10  # 9 decoder layers, add one for the loss on learnable query
    TRAIN_NUM_POINTS: 12544
    OVERSAMPLE_RATIO: 3.0
    IMPORTANCE_SAMPLE_RATIO: 0.75
    TEST:
      SEMANTIC_ON: False
      INSTANCE_ON: True
      PANOPTIC_ON: False
      OVERLAP_THRESHOLD: 0.8
      OBJECT_MASK_THRESHOLD: 0.8
  VITA:
    ENC_WINDOW_SIZE: 8
    SIM_WEIGHT: 1.0
    NUM_OBJECT_QUERIES: 10
    TEST_OUTPUT_THRESHOLD: 0.5
DATASETS:
  DATASET_RATIO: [1.0, 0.25]
  TRAIN: ("mevis_train",)
  TEST: ("mevis_val",)
SOLVER:
  IMS_PER_BATCH: 8
  BASE_LR: 0.00005
  STEPS: (40000, 50000)
  MAX_ITER: 55000
  WARMUP_FACTOR: 1.0
  WARMUP_ITERS: 10
  WEIGHT_DECAY: 0.05
  OPTIMIZER: "ADAMW"
  BACKBONE_MULTIPLIER: 0.1
  CLIP_GRADIENTS:
    ENABLED: True
    CLIP_TYPE: "full_model"
    CLIP_VALUE: 0.01
    NORM_TYPE: 2.0
INPUT:
  SAMPLING_FRAME_NUM: 8
  SAMPLING_FRAME_RANGE: 10
  SAMPLING_FRAME_SHUFFLE: False
  # MIN_SIZE_TRAIN_SAMPLING : ["range", "choice", "range_by_clip", "choice_by_clip"]
  MIN_SIZE_TRAIN_SAMPLING: "choice_by_clip"
  # RANDOM_FLIP : ["none", "horizontal", "flip_by_clip"]. "horizontal" is set by default.
  RANDOM_FLIP: "flip_by_clip"
  AUGMENTATIONS: []
  MIN_SIZE_TRAIN: (288, 320, 352, 384, 416, 448, 480, 512)
  MAX_SIZE_TRAIN: 768
  MIN_SIZE_TEST: 448
  FORMAT: "RGB"
  CROP:
    ENABLED: True
    TYPE: "absolute_range"
    SIZE: (384, 600)
  # For pseudo videos
  PSEUDO:
    AUGMENTATIONS: ['rotation']
    MIN_SIZE_TRAIN: (288, 320, 352, 384, 416, 448, 480, 512)
    MAX_SIZE_TRAIN: 768
    CROP:
      ENABLED: True
      TYPE: "absolute_range"
      SIZE: (384, 600)
  LSJ_AUG:
    ENABLED: False
    IMAGE_SIZE: 768
    MIN_SCALE: 0.1
    MAX_SCALE: 2.0
DATALOADER:
  FILTER_EMPTY_ANNOTATIONS: True
  NUM_WORKERS: 8
TEST:
  DETECTIONS_PER_IMAGE: 1
  EVAL_PERIOD: 50000

OUTPUT_DIR: 'output/dshmp_model'

[10/14 08:56:07] detectron2 INFO: Running with full config:
CUDNN_BENCHMARK: false
DATALOADER:
  ASPECT_RATIO_GROUPING: true
  FILTER_EMPTY_ANNOTATIONS: true
  NUM_WORKERS: 8
  REPEAT_SQRT: true
  REPEAT_THRESHOLD: 0.0
  SAMPLER_TRAIN: TrainingSampler
DATASETS:
  DATASET_RATIO:
  - 1.0
  - 0.25
  PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
  PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
  PROPOSAL_FILES_TEST: []
  PROPOSAL_FILES_TRAIN: []
  TEST:
  - mevis_val
  TRAIN:
  - mevis_train
FLOAT32_PRECISION: ''
GLOBAL:
  HACK: 1.0
INPUT:
  AUGMENTATIONS: []
  COLOR_AUG_SSD: false
  CROP:
    ENABLED: true
    SINGLE_CATEGORY_MAX_AREA: 1.0
    SIZE:
    - 384
    - 600
    TYPE: absolute_range
  DATASET_MAPPER_NAME: mask_former_semantic
  FORMAT: RGB
  IMAGE_SIZE: 1024
  LSJ_AUG:
    ENABLED: false
    IMAGE_SIZE: 768
    MAX_SCALE: 2.0
    MIN_SCALE: 0.1
  MASK_FORMAT: polygon
  MAX_SCALE: 2.0
  MAX_SIZE_TEST: 1333
  MAX_SIZE_TRAIN: 768
  MIN_SCALE: 0.1
  MIN_SIZE_TEST: 448
  MIN_SIZE_TRAIN:
  - 288
  - 320
  - 352
  - 384
  - 416
  - 448
  - 480
  - 512
  MIN_SIZE_TRAIN_SAMPLING: choice_by_clip
  PSEUDO:
    AUGMENTATIONS:
    - rotation
    CROP:
      ENABLED: true
      SIZE:
      - 384
      - 600
      TYPE: absolute_range
    MAX_SIZE_TRAIN: 768
    MIN_SIZE_TRAIN:
    - 288
    - 320
    - 352
    - 384
    - 416
    - 448
    - 480
    - 512
    MIN_SIZE_TRAIN_SAMPLING: choice_by_clip
  RANDOM_FLIP: flip_by_clip
  SAMPLING_FRAME_NUM: 8
  SAMPLING_FRAME_RANGE: 10
  SAMPLING_FRAME_SHUFFLE: false
  SIZE_DIVISIBILITY: -1
MODEL:
  ANCHOR_GENERATOR:
    ANGLES:
    - - -90
      - 0
      - 90
    ASPECT_RATIOS:
    - - 0.5
      - 1.0
      - 2.0
    NAME: DefaultAnchorGenerator
    OFFSET: 0.0
    SIZES:
    - - 32
      - 64
      - 128
      - 256
      - 512
  BACKBONE:
    FREEZE_AT: 0
    NAME: D2SwinTransformer
  DEVICE: cuda
  FPN:
    FUSE_TYPE: sum
    IN_FEATURES: []
    NORM: ''
    OUT_CHANNELS: 256
  KEYPOINT_ON: false
  LOAD_PROPOSALS: false
  MASK_FORMER:
    CLASS_WEIGHT: 2.0
    DEC_LAYERS: 10
    DEEP_SUPERVISION: true
    DICE_WEIGHT: 5.0
    DIM_FEEDFORWARD: 2048
    DROPOUT: 0.0
    ENC_LAYERS: 0
    ENFORCE_INPUT_PROJ: false
    HIDDEN_DIM: 256
    IMPORTANCE_SAMPLE_RATIO: 0.75
    MASK_WEIGHT: 5.0
    NHEADS: 8
    NO_OBJECT_WEIGHT: 0.1
    NUM_OBJECT_QUERIES: 20
    OVERSAMPLE_RATIO: 3.0
    PRE_NORM: false
    SIZE_DIVISIBILITY: 32
    TEST:
      INSTANCE_ON: true
      OBJECT_MASK_THRESHOLD: 0.8
      OVERLAP_THRESHOLD: 0.8
      PANOPTIC_ON: false
      SEMANTIC_ON: false
      SEM_SEG_POSTPROCESSING_BEFORE_INFERENCE: false
    TRAIN_NUM_POINTS: 12544
    TRANSFORMER_DECODER_NAME: DshmpMultiScaleMaskedTransformerDecoder
    TRANSFORMER_IN_FEATURE: multi_scale_pixel_decoder
  MASK_ON: true
  META_ARCHITECTURE: DsHmp
  PANOPTIC_FPN:
    COMBINE:
      ENABLED: true
      INSTANCES_CONFIDENCE_THRESH: 0.5
      OVERLAP_THRESH: 0.5
      STUFF_AREA_LIMIT: 4096
    INSTANCE_LOSS_WEIGHT: 1.0
  PIXEL_MEAN:
  - 123.675
  - 116.28
  - 103.53
  PIXEL_STD:
  - 58.395
  - 57.12
  - 57.37
  PROPOSAL_GENERATOR:
    MIN_SIZE: 0
    NAME: RPN
  RESNETS:
    DEFORM_MODULATED: false
    DEFORM_NUM_GROUPS: 1
    DEFORM_ON_PER_STAGE:
    - false
    - false
    - false
    - false
    DEPTH: 50
    NORM: FrozenBN
    NUM_GROUPS: 1
    OUT_FEATURES:
    - res2
    - res3
    - res4
    - res5
    RES2_OUT_CHANNELS: 256
    RES4_DILATION: 1
    RES5_DILATION: 1
    RES5_MULTI_GRID:
    - 1
    - 1
    - 1
    STEM_OUT_CHANNELS: 64
    STEM_TYPE: basic
    STRIDE_IN_1X1: false
    WIDTH_PER_GROUP: 64
  RETINANET:
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_WEIGHTS: &id002
    - 1.0
    - 1.0
    - 1.0
    - 1.0
    FOCAL_LOSS_ALPHA: 0.25
    FOCAL_LOSS_GAMMA: 2.0
    IN_FEATURES:
    - p3
    - p4
    - p5
    - p6
    - p7
    IOU_LABELS:
    - 0
    - -1
    - 1
    IOU_THRESHOLDS:
    - 0.4
    - 0.5
    NMS_THRESH_TEST: 0.5
    NORM: ''
    NUM_CLASSES: 80
    NUM_CONVS: 4
    PRIOR_PROB: 0.01
    SCORE_THRESH_TEST: 0.05
    SMOOTH_L1_LOSS_BETA: 0.1
    TOPK_CANDIDATES_TEST: 1000
  ROI_BOX_CASCADE_HEAD:
    BBOX_REG_WEIGHTS:
    - &id001
      - 10.0
      - 10.0
      - 5.0
      - 5.0
    - - 20.0
      - 20.0
      - 10.0
      - 10.0
    - - 30.0
      - 30.0
      - 15.0
      - 15.0
    IOUS:
    - 0.5
    - 0.6
    - 0.7
  ROI_BOX_HEAD:
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_LOSS_WEIGHT: 1.0
    BBOX_REG_WEIGHTS: *id001
    CLS_AGNOSTIC_BBOX_REG: false
    CONV_DIM: 256
    FC_DIM: 1024
    FED_LOSS_FREQ_WEIGHT_POWER: 0.5
    FED_LOSS_NUM_CLASSES: 50
    NAME: ''
    NORM: ''
    NUM_CONV: 0
    NUM_FC: 0
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
    SMOOTH_L1_BETA: 0.0
    TRAIN_ON_PRED_BOXES: false
    USE_FED_LOSS: false
    USE_SIGMOID_CE: false
  ROI_HEADS:
    BATCH_SIZE_PER_IMAGE: 512
    IN_FEATURES:
    - res4
    IOU_LABELS:
    - 0
    - 1
    IOU_THRESHOLDS:
    - 0.5
    NAME: Res5ROIHeads
    NMS_THRESH_TEST: 0.5
    NUM_CLASSES: 80
    POSITIVE_FRACTION: 0.25
    PROPOSAL_APPEND_GT: true
    SCORE_THRESH_TEST: 0.05
  ROI_KEYPOINT_HEAD:
    CONV_DIMS:
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    - 512
    LOSS_WEIGHT: 1.0
    MIN_KEYPOINTS_PER_IMAGE: 1
    NAME: KRCNNConvDeconvUpsampleHead
    NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
    NUM_KEYPOINTS: 17
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
  ROI_MASK_HEAD:
    CLS_AGNOSTIC_MASK: false
    CONV_DIM: 256
    NAME: MaskRCNNConvUpsampleHead
    NORM: ''
    NUM_CONV: 0
    POOLER_RESOLUTION: 14
    POOLER_SAMPLING_RATIO: 0
    POOLER_TYPE: ROIAlignV2
  RPN:
    BATCH_SIZE_PER_IMAGE: 256
    BBOX_REG_LOSS_TYPE: smooth_l1
    BBOX_REG_LOSS_WEIGHT: 1.0
    BBOX_REG_WEIGHTS: *id002
    BOUNDARY_THRESH: -1
    CONV_DIMS:
    - -1
    HEAD_NAME: StandardRPNHead
    IN_FEATURES:
    - res4
    IOU_LABELS:
    - 0
    - -1
    - 1
    IOU_THRESHOLDS:
    - 0.3
    - 0.7
    LOSS_WEIGHT: 1.0
    NMS_THRESH: 0.7
    POSITIVE_FRACTION: 0.5
    POST_NMS_TOPK_TEST: 1000
    POST_NMS_TOPK_TRAIN: 2000
    PRE_NMS_TOPK_TEST: 6000
    PRE_NMS_TOPK_TRAIN: 12000
    SMOOTH_L1_BETA: 0.0
  SEM_SEG_HEAD:
    ASPP_CHANNELS: 256
    ASPP_DILATIONS:
    - 6
    - 12
    - 18
    ASPP_DROPOUT: 0.1
    COMMON_STRIDE: 4
    CONVS_DIM: 256
    DEFORMABLE_TRANSFORMER_ENCODER_IN_FEATURES:
    - res3
    - res4
    - res5
    DEFORMABLE_TRANSFORMER_ENCODER_N_HEADS: 8
    DEFORMABLE_TRANSFORMER_ENCODER_N_POINTS: 4
    IGNORE_VALUE: 255
    IN_FEATURES:
    - res2
    - res3
    - res4
    - res5
    LOSS_TYPE: hard_pixel_mining
    LOSS_WEIGHT: 1.0
    MASK_DIM: 256
    NAME: MaskFormerHead
    NORM: GN
    NUM_CLASSES: 1
    PIXEL_DECODER_NAME: MSDeformAttnPixelDecoder
    PROJECT_CHANNELS:
    - 48
    PROJECT_FEATURES:
    - res2
    TRANSFORMER_ENC_LAYERS: 6
    USE_DEPTHWISE_SEPARABLE_CONV: false
  SWIN:
    APE: false
    ATTN_DROP_RATE: 0.0
    DEPTHS:
    - 2
    - 2
    - 6
    - 2
    DROP_PATH_RATE: 0.3
    DROP_RATE: 0.0
    EMBED_DIM: 96
    MLP_RATIO: 4.0
    NUM_HEADS:
    - 3
    - 6
    - 12
    - 24
    OUT_FEATURES:
    - res2
    - res3
    - res4
    - res5
    PATCH_NORM: true
    PATCH_SIZE: 4
    PRETRAIN_IMG_SIZE: 224
    QKV_BIAS: true
    QK_SCALE: null
    USE_CHECKPOINT: false
    WINDOW_SIZE: 7
  VITA:
    APPLY_CLS_THRES: 0.01
    DEC_LAYERS: 3
    DEEP_SUPERVISION: true
    DIM_FEEDFORWARD: 2048
    DROPOUT: 0.0
    ENC_LAYERS: 6
    ENC_WINDOW_SIZE: 8
    ENFORCE_INPUT_PROJ: true
    FREEZE_DETECTOR: false
    FREEZE_TEXT_ENCODER: true
    HIDDEN_DIM: 256
    LAST_LAYER_NUM: 3
    MULTI_CLS_ON: true
    NHEADS: 8
    NO_OBJECT_WEIGHT: 0.1
    NUM_OBJECT_QUERIES: 10
    PRE_NORM: false
    SIM_USE_CLIP: true
    SIM_WEIGHT: 1.0
    TEST_INTERPOLATE_CHUNK_SIZE: 5
    TEST_OUTPUT_THRESHOLD: 0.5
    TEST_RUN_CHUNK_SIZE: 18
  WEIGHTS: ./weights/repro_bs8_ddp_ft/model_final.pth
OUTPUT_DIR: ./output/valid_u_bs8ckpt
SEED: -1
SOLVER:
  AMP:
    ENABLED: true
  BACKBONE_MULTIPLIER: 0.1
  BASE_LR: 5.0e-05
  BASE_LR_END: 0.0
  BIAS_LR_FACTOR: 1.0
  CHECKPOINT_PERIOD: 5000
  CLIP_GRADIENTS:
    CLIP_TYPE: full_model
    CLIP_VALUE: 0.01
    ENABLED: true
    NORM_TYPE: 2.0
  GAMMA: 0.1
  IMS_PER_BATCH: 8
  LR_SCHEDULER_NAME: WarmupMultiStepLR
  MAX_ITER: 55000
  MOMENTUM: 0.9
  NESTEROV: false
  NUM_DECAYS: 3
  OPTIMIZER: ADAMW
  POLY_LR_CONSTANT_ENDING: 0.0
  POLY_LR_POWER: 0.9
  REFERENCE_WORLD_SIZE: 0
  RESCALE_INTERVAL: false
  STEPS:
  - 40000
  - 50000
  WARMUP_FACTOR: 1.0
  WARMUP_ITERS: 10
  WARMUP_METHOD: linear
  WEIGHT_DECAY: 0.05
  WEIGHT_DECAY_BIAS: null
  WEIGHT_DECAY_EMBED: 0.0
  WEIGHT_DECAY_NORM: 0.0
TEST:
  AUG:
    ENABLED: false
    FLIP: true
    MAX_SIZE: 4000
    MIN_SIZES:
    - 400
    - 500
    - 600
    - 700
    - 800
    - 900
    - 1000
    - 1100
    - 1200
  DETECTIONS_PER_IMAGE: 1
  EVAL_PERIOD: 50000
  EXPECTED_RESULTS: []
  KEYPOINT_OKS_SIGMAS: []
  PRECISE_BN:
    ENABLED: false
    NUM_ITER: 200
VERSION: 2
VIS_PERIOD: 0

[10/14 08:56:07] detectron2 INFO: Full config saved to ./output/valid_u_bs8ckpt/config.yaml
[10/14 08:56:08] d2.utils.env INFO: Using a generated random seed 9097300
[10/14 08:56:14] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from ./weights/repro_bs8_ddp_ft/model_final.pth ...
[10/14 08:56:14] fvcore.common.checkpoint INFO: [Checkpointer] Loading from ./weights/repro_bs8_ddp_ft/model_final.pth ...
[10/14 08:56:21] d2.data.common INFO: Serializing the dataset using: <class 'detectron2.data.common._TorchSerializedList'>
[10/14 08:56:21] d2.data.common INFO: Serializing 793 elements to byte tensors and concatenating them all ...
[10/14 08:56:21] d2.data.common INFO: Serialized dataset takes 3.22 MiB