diff --git "a/sourceDDSM/log.txt" "b/sourceDDSM/log.txt" new file mode 100644--- /dev/null +++ "b/sourceDDSM/log.txt" @@ -0,0 +1,5936 @@ +[03/20 23:16:15] detectron2 INFO: Rank of current process: 0. World size: 1 +[03/20 23:16:16] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 Not found +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, 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 -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -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-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[03/20 23:16:16] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=False, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/source_ddsm']) +[03/20 23:16:16] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + BASE_LR: 0.01 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_ddsm_train",) + TRAIN_UNLABEL: ("VOC2007_ddsm_train",) + TEST: ("VOC2007_rsna_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000 + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[03/20 23:16:16] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_rsna_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_ddsm_train + TRAIN_UNLABEL: + - VOC2007_ddsm_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +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: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + 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 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + 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: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + 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: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + 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: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + 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 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/source_ddsm +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.01 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[03/20 23:16:16] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/source_ddsm/config.yaml +[03/20 23:16:16] d2.utils.env INFO: Using a generated random seed 20441321 +[03/20 23:16:17] d2.data.build INFO: Removed 1209 images with no usable annotations. 962 images left. +[03/20 23:16:17] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 1023 | +| | | +[03/20 23:16:17] d2.data.common INFO: Serializing the dataset using: +[03/20 23:16:17] d2.data.common INFO: Serializing 962 elements to byte tensors and concatenating them all ... +[03/20 23:16:17] d2.data.common INFO: Serialized dataset takes 0.46 MiB +[03/20 23:16:17] d2.data.common INFO: Serializing the dataset using: +[03/20 23:16:17] d2.data.common INFO: Serializing 2171 elements to byte tensors and concatenating them all ... +[03/20 23:16:17] d2.data.common INFO: Serialized dataset takes 0.88 MiB +[03/20 23:16:18] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[03/20 23:16:20] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[03/20 23:16:20] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from ... +[03/20 23:16:20] fvcore.common.checkpoint INFO: No checkpoint found. Initializing model from scratch +[03/20 23:16:34] d2.utils.events INFO: eta: 8:03:13 iter: 19 total_loss: 1.376 loss_cls: 0.6671 loss_box_reg: 0.009189 loss_rpn_cls: 0.6929 loss_rpn_loc: 0.004294 loss_D_img_s: 0.0006974 time: 0.5729 last_time: 0.6046 data_time: 0.0692 last_data_time: 0.0256 lr: 0.00019981 max_mem: 8822M +[03/20 23:16:45] d2.utils.events INFO: eta: 7:53:06 iter: 39 total_loss: 1.104 loss_cls: 0.4048 loss_box_reg: 0.006195 loss_rpn_cls: 0.6899 loss_rpn_loc: 0.003368 loss_D_img_s: 0.0006972 time: 0.5659 last_time: 0.6081 data_time: 0.0186 last_data_time: 0.0422 lr: 0.00039961 max_mem: 8823M +[03/20 23:16:57] d2.utils.events INFO: eta: 7:51:52 iter: 59 total_loss: 0.8882 loss_cls: 0.1847 loss_box_reg: 0.01017 loss_rpn_cls: 0.6813 loss_rpn_loc: 0.004286 loss_D_img_s: 0.0006967 time: 0.5640 last_time: 0.5792 data_time: 0.0129 last_data_time: 0.0143 lr: 0.00059941 max_mem: 8823M +[03/20 23:17:08] d2.utils.events INFO: eta: 7:50:43 iter: 79 total_loss: 0.7937 loss_cls: 0.1141 loss_box_reg: 0.002253 loss_rpn_cls: 0.6664 loss_rpn_loc: 0.003407 loss_D_img_s: 0.0006963 time: 0.5620 last_time: 0.6551 data_time: 0.0213 last_data_time: 0.0108 lr: 0.00079921 max_mem: 8823M +[03/20 23:17:18] d2.utils.events INFO: eta: 7:40:33 iter: 99 total_loss: 0.6918 loss_cls: 0.0376 loss_box_reg: 0.003259 loss_rpn_cls: 0.6445 loss_rpn_loc: 0.00344 loss_D_img_s: 0.0006964 time: 0.5513 last_time: 0.4761 data_time: 0.0148 last_data_time: 0.0092 lr: 0.00099901 max_mem: 8823M +[03/20 23:17:29] d2.utils.events INFO: eta: 7:43:29 iter: 119 total_loss: 0.6589 loss_cls: 0.02836 loss_box_reg: 0.004958 loss_rpn_cls: 0.6137 loss_rpn_loc: 0.002942 loss_D_img_s: 0.0006961 time: 0.5525 last_time: 0.5498 data_time: 0.0190 last_data_time: 0.0094 lr: 0.0011988 max_mem: 8823M +[03/20 23:17:40] d2.utils.events INFO: eta: 7:40:11 iter: 139 total_loss: 0.6116 loss_cls: 0.03604 loss_box_reg: 0.009746 loss_rpn_cls: 0.5678 loss_rpn_loc: 0.004403 loss_D_img_s: 0.000696 time: 0.5508 last_time: 0.4968 data_time: 0.0194 last_data_time: 0.0177 lr: 0.0013986 max_mem: 8824M +[03/20 23:17:51] d2.utils.events INFO: eta: 7:41:46 iter: 159 total_loss: 0.5265 loss_cls: 0.02878 loss_box_reg: 0.006552 loss_rpn_cls: 0.491 loss_rpn_loc: 0.003011 loss_D_img_s: 0.0006957 time: 0.5534 last_time: 0.6095 data_time: 0.0236 last_data_time: 0.0783 lr: 0.0015984 max_mem: 8824M +[03/20 23:18:03] d2.utils.events INFO: eta: 7:43:47 iter: 179 total_loss: 0.4286 loss_cls: 0.02725 loss_box_reg: 0.006537 loss_rpn_cls: 0.3857 loss_rpn_loc: 0.002778 loss_D_img_s: 0.0006955 time: 0.5543 last_time: 0.5786 data_time: 0.0178 last_data_time: 0.0146 lr: 0.0017982 max_mem: 8824M +[03/20 23:18:14] d2.utils.events INFO: eta: 7:41:24 iter: 199 total_loss: 0.3619 loss_cls: 0.04125 loss_box_reg: 0.01861 loss_rpn_cls: 0.2762 loss_rpn_loc: 0.003894 loss_D_img_s: 0.0006955 time: 0.5544 last_time: 0.4969 data_time: 0.0234 last_data_time: 0.0118 lr: 0.001998 max_mem: 8824M +[03/20 23:18:25] d2.utils.events INFO: eta: 7:39:52 iter: 219 total_loss: 0.2559 loss_cls: 0.03504 loss_box_reg: 0.01586 loss_rpn_cls: 0.1897 loss_rpn_loc: 0.003444 loss_D_img_s: 0.000695 time: 0.5543 last_time: 0.4751 data_time: 0.0161 last_data_time: 0.0094 lr: 0.0021978 max_mem: 8824M +[03/20 23:18:36] d2.utils.events INFO: eta: 7:43:00 iter: 239 total_loss: 0.2182 loss_cls: 0.05988 loss_box_reg: 0.0299 loss_rpn_cls: 0.1163 loss_rpn_loc: 0.003594 loss_D_img_s: 0.000695 time: 0.5557 last_time: 0.6568 data_time: 0.0167 last_data_time: 0.0201 lr: 0.0023976 max_mem: 8824M +[03/20 23:18:47] d2.utils.events INFO: eta: 7:42:01 iter: 259 total_loss: 0.1392 loss_cls: 0.03501 loss_box_reg: 0.02032 loss_rpn_cls: 0.07877 loss_rpn_loc: 0.002907 loss_D_img_s: 0.0006946 time: 0.5547 last_time: 0.5740 data_time: 0.0151 last_data_time: 0.0107 lr: 0.0025974 max_mem: 8824M +[03/20 23:18:58] d2.utils.events INFO: eta: 7:39:19 iter: 279 total_loss: 0.1306 loss_cls: 0.04427 loss_box_reg: 0.02144 loss_rpn_cls: 0.05841 loss_rpn_loc: 0.003332 loss_D_img_s: 0.0006944 time: 0.5538 last_time: 0.4627 data_time: 0.0160 last_data_time: 0.0092 lr: 0.0027972 max_mem: 8824M +[03/20 23:19:09] d2.utils.events INFO: eta: 7:38:41 iter: 299 total_loss: 0.1225 loss_cls: 0.04314 loss_box_reg: 0.02407 loss_rpn_cls: 0.05095 loss_rpn_loc: 0.003434 loss_D_img_s: 0.0006939 time: 0.5530 last_time: 0.5813 data_time: 0.0147 last_data_time: 0.0111 lr: 0.002997 max_mem: 8824M +[03/20 23:19:20] d2.utils.events INFO: eta: 7:38:43 iter: 319 total_loss: 0.1118 loss_cls: 0.04353 loss_box_reg: 0.02254 loss_rpn_cls: 0.04011 loss_rpn_loc: 0.002623 loss_D_img_s: 0.0006937 time: 0.5535 last_time: 0.5889 data_time: 0.0148 last_data_time: 0.0250 lr: 0.0031968 max_mem: 8824M +[03/20 23:19:31] d2.utils.events INFO: eta: 7:38:32 iter: 339 total_loss: 0.09709 loss_cls: 0.0362 loss_box_reg: 0.0229 loss_rpn_cls: 0.03836 loss_rpn_loc: 0.003578 loss_D_img_s: 0.0006932 time: 0.5538 last_time: 0.5792 data_time: 0.0192 last_data_time: 0.0321 lr: 0.0033966 max_mem: 8824M +[03/20 23:19:42] d2.utils.events INFO: eta: 7:37:42 iter: 359 total_loss: 0.09682 loss_cls: 0.03629 loss_box_reg: 0.01635 loss_rpn_cls: 0.03182 loss_rpn_loc: 0.002826 loss_D_img_s: 0.0006929 time: 0.5526 last_time: 0.5435 data_time: 0.0172 last_data_time: 0.0137 lr: 0.0035964 max_mem: 8825M +[03/20 23:19:53] d2.utils.events INFO: eta: 7:37:14 iter: 379 total_loss: 0.08748 loss_cls: 0.03416 loss_box_reg: 0.01825 loss_rpn_cls: 0.03133 loss_rpn_loc: 0.003171 loss_D_img_s: 0.0006924 time: 0.5521 last_time: 0.5950 data_time: 0.0175 last_data_time: 0.0205 lr: 0.0037962 max_mem: 8825M +[03/20 23:20:04] d2.utils.events INFO: eta: 7:37:03 iter: 399 total_loss: 0.1176 loss_cls: 0.04906 loss_box_reg: 0.03173 loss_rpn_cls: 0.03083 loss_rpn_loc: 0.003465 loss_D_img_s: 0.0006921 time: 0.5518 last_time: 0.5254 data_time: 0.0217 last_data_time: 0.0385 lr: 0.003996 max_mem: 8825M +[03/20 23:20:14] d2.utils.events INFO: eta: 7:36:37 iter: 419 total_loss: 0.1247 loss_cls: 0.05618 loss_box_reg: 0.03975 loss_rpn_cls: 0.03474 loss_rpn_loc: 0.004046 loss_D_img_s: 0.0006916 time: 0.5513 last_time: 0.5854 data_time: 0.0159 last_data_time: 0.0104 lr: 0.0041958 max_mem: 8825M +[03/20 23:20:26] d2.utils.events INFO: eta: 7:36:58 iter: 439 total_loss: 0.0906 loss_cls: 0.03966 loss_box_reg: 0.02224 loss_rpn_cls: 0.02691 loss_rpn_loc: 0.003299 loss_D_img_s: 0.000691 time: 0.5526 last_time: 0.5981 data_time: 0.0232 last_data_time: 0.0079 lr: 0.0043956 max_mem: 8825M +[03/20 23:20:38] d2.utils.events INFO: eta: 7:37:51 iter: 459 total_loss: 0.1011 loss_cls: 0.04118 loss_box_reg: 0.02421 loss_rpn_cls: 0.02907 loss_rpn_loc: 0.003037 loss_D_img_s: 0.0006905 time: 0.5540 last_time: 0.5856 data_time: 0.0200 last_data_time: 0.0078 lr: 0.0045954 max_mem: 8825M +[03/20 23:20:49] d2.utils.events INFO: eta: 7:39:19 iter: 479 total_loss: 0.09698 loss_cls: 0.04362 loss_box_reg: 0.02652 loss_rpn_cls: 0.02778 loss_rpn_loc: 0.003061 loss_D_img_s: 0.0006901 time: 0.5550 last_time: 0.5459 data_time: 0.0119 last_data_time: 0.0088 lr: 0.0047952 max_mem: 8825M +[03/20 23:21:01] d2.utils.events INFO: eta: 7:40:37 iter: 499 total_loss: 0.1345 loss_cls: 0.05409 loss_box_reg: 0.03976 loss_rpn_cls: 0.03058 loss_rpn_loc: 0.004678 loss_D_img_s: 0.0006896 time: 0.5563 last_time: 0.6140 data_time: 0.0177 last_data_time: 0.0232 lr: 0.004995 max_mem: 8825M +[03/20 23:21:13] d2.utils.events INFO: eta: 7:42:46 iter: 519 total_loss: 0.08949 loss_cls: 0.03832 loss_box_reg: 0.02457 loss_rpn_cls: 0.02395 loss_rpn_loc: 0.003141 loss_D_img_s: 0.0006891 time: 0.5574 last_time: 0.6108 data_time: 0.0114 last_data_time: 0.0163 lr: 0.0051948 max_mem: 8825M +[03/20 23:21:25] d2.utils.events INFO: eta: 7:44:39 iter: 539 total_loss: 0.125 loss_cls: 0.05284 loss_box_reg: 0.03816 loss_rpn_cls: 0.03004 loss_rpn_loc: 0.003245 loss_D_img_s: 0.0006884 time: 0.5593 last_time: 0.5673 data_time: 0.0194 last_data_time: 0.0396 lr: 0.0053946 max_mem: 8825M +[03/20 23:21:36] d2.utils.events INFO: eta: 7:44:59 iter: 559 total_loss: 0.1069 loss_cls: 0.04636 loss_box_reg: 0.03231 loss_rpn_cls: 0.02329 loss_rpn_loc: 0.002871 loss_D_img_s: 0.0006877 time: 0.5596 last_time: 0.5294 data_time: 0.0230 last_data_time: 0.0096 lr: 0.0055944 max_mem: 8825M +[03/20 23:21:48] d2.utils.events INFO: eta: 7:45:17 iter: 579 total_loss: 0.0942 loss_cls: 0.04136 loss_box_reg: 0.02323 loss_rpn_cls: 0.02406 loss_rpn_loc: 0.002642 loss_D_img_s: 0.000687 time: 0.5607 last_time: 0.5995 data_time: 0.0267 last_data_time: 0.0153 lr: 0.0057942 max_mem: 8825M +[03/20 23:22:00] d2.utils.events INFO: eta: 7:45:41 iter: 599 total_loss: 0.0917 loss_cls: 0.03967 loss_box_reg: 0.02316 loss_rpn_cls: 0.02146 loss_rpn_loc: 0.00332 loss_D_img_s: 0.0006865 time: 0.5618 last_time: 0.5399 data_time: 0.0172 last_data_time: 0.0248 lr: 0.005994 max_mem: 8825M +[03/20 23:22:12] d2.utils.events INFO: eta: 7:46:09 iter: 619 total_loss: 0.1175 loss_cls: 0.04836 loss_box_reg: 0.03396 loss_rpn_cls: 0.02446 loss_rpn_loc: 0.00298 loss_D_img_s: 0.0006856 time: 0.5628 last_time: 0.5655 data_time: 0.0186 last_data_time: 0.0278 lr: 0.0061938 max_mem: 8825M +[03/20 23:22:24] d2.utils.events INFO: eta: 7:46:17 iter: 639 total_loss: 0.1011 loss_cls: 0.04308 loss_box_reg: 0.0253 loss_rpn_cls: 0.02191 loss_rpn_loc: 0.002667 loss_D_img_s: 0.0006851 time: 0.5635 last_time: 0.6672 data_time: 0.0144 last_data_time: 0.0097 lr: 0.0063936 max_mem: 8825M +[03/20 23:22:35] d2.utils.events INFO: eta: 7:46:45 iter: 659 total_loss: 0.1099 loss_cls: 0.04806 loss_box_reg: 0.0342 loss_rpn_cls: 0.02398 loss_rpn_loc: 0.00263 loss_D_img_s: 0.0006843 time: 0.5642 last_time: 0.5911 data_time: 0.0160 last_data_time: 0.0120 lr: 0.0065934 max_mem: 8825M +[03/20 23:22:47] d2.utils.events INFO: eta: 7:46:49 iter: 679 total_loss: 0.1325 loss_cls: 0.05417 loss_box_reg: 0.04717 loss_rpn_cls: 0.02607 loss_rpn_loc: 0.00363 loss_D_img_s: 0.0006835 time: 0.5652 last_time: 0.6366 data_time: 0.0150 last_data_time: 0.0109 lr: 0.0067932 max_mem: 8825M +[03/20 23:22:59] d2.utils.events INFO: eta: 7:46:49 iter: 699 total_loss: 0.1116 loss_cls: 0.04506 loss_box_reg: 0.03536 loss_rpn_cls: 0.02442 loss_rpn_loc: 0.002889 loss_D_img_s: 0.0006828 time: 0.5652 last_time: 0.5958 data_time: 0.0238 last_data_time: 0.0084 lr: 0.006993 max_mem: 8825M +[03/20 23:23:10] d2.utils.events INFO: eta: 7:46:48 iter: 719 total_loss: 0.09749 loss_cls: 0.04469 loss_box_reg: 0.02669 loss_rpn_cls: 0.02479 loss_rpn_loc: 0.003356 loss_D_img_s: 0.0006819 time: 0.5653 last_time: 0.5846 data_time: 0.0165 last_data_time: 0.0083 lr: 0.0071928 max_mem: 8825M +[03/20 23:23:22] d2.utils.events INFO: eta: 7:46:52 iter: 739 total_loss: 0.1035 loss_cls: 0.04584 loss_box_reg: 0.02639 loss_rpn_cls: 0.02419 loss_rpn_loc: 0.003322 loss_D_img_s: 0.0006811 time: 0.5658 last_time: 0.5684 data_time: 0.0177 last_data_time: 0.0237 lr: 0.0073926 max_mem: 8825M +[03/20 23:23:34] d2.utils.events INFO: eta: 7:47:39 iter: 759 total_loss: 0.1033 loss_cls: 0.04384 loss_box_reg: 0.02964 loss_rpn_cls: 0.02332 loss_rpn_loc: 0.002893 loss_D_img_s: 0.0006802 time: 0.5665 last_time: 0.5843 data_time: 0.0171 last_data_time: 0.0104 lr: 0.0075924 max_mem: 8825M +[03/20 23:23:45] d2.utils.events INFO: eta: 7:48:31 iter: 779 total_loss: 0.09375 loss_cls: 0.03882 loss_box_reg: 0.02622 loss_rpn_cls: 0.02388 loss_rpn_loc: 0.003285 loss_D_img_s: 0.0006792 time: 0.5671 last_time: 0.6036 data_time: 0.0268 last_data_time: 0.0208 lr: 0.0077922 max_mem: 8825M +[03/20 23:23:57] d2.utils.events INFO: eta: 7:48:42 iter: 799 total_loss: 0.0853 loss_cls: 0.03342 loss_box_reg: 0.02089 loss_rpn_cls: 0.02192 loss_rpn_loc: 0.003321 loss_D_img_s: 0.0006787 time: 0.5674 last_time: 0.5936 data_time: 0.0158 last_data_time: 0.0108 lr: 0.007992 max_mem: 8825M +[03/20 23:24:09] d2.utils.events INFO: eta: 7:49:31 iter: 819 total_loss: 0.08222 loss_cls: 0.03041 loss_box_reg: 0.01721 loss_rpn_cls: 0.02151 loss_rpn_loc: 0.003031 loss_D_img_s: 0.0006779 time: 0.5686 last_time: 0.5951 data_time: 0.0123 last_data_time: 0.0087 lr: 0.0081918 max_mem: 8825M +[03/20 23:24:21] d2.utils.events INFO: eta: 7:48:59 iter: 839 total_loss: 0.1055 loss_cls: 0.04488 loss_box_reg: 0.02694 loss_rpn_cls: 0.02175 loss_rpn_loc: 0.003325 loss_D_img_s: 0.000677 time: 0.5686 last_time: 0.5053 data_time: 0.0154 last_data_time: 0.0103 lr: 0.0083916 max_mem: 8825M +[03/20 23:24:32] d2.utils.events INFO: eta: 7:48:48 iter: 859 total_loss: 0.116 loss_cls: 0.05168 loss_box_reg: 0.04194 loss_rpn_cls: 0.02243 loss_rpn_loc: 0.003662 loss_D_img_s: 0.0006764 time: 0.5687 last_time: 0.6149 data_time: 0.0174 last_data_time: 0.0382 lr: 0.0085914 max_mem: 8825M +[03/20 23:24:44] d2.utils.events INFO: eta: 7:49:19 iter: 879 total_loss: 0.08074 loss_cls: 0.03366 loss_box_reg: 0.02458 loss_rpn_cls: 0.02706 loss_rpn_loc: 0.003064 loss_D_img_s: 0.0006751 time: 0.5692 last_time: 0.6285 data_time: 0.0168 last_data_time: 0.0224 lr: 0.0087912 max_mem: 8825M +[03/20 23:24:56] d2.utils.events INFO: eta: 7:49:32 iter: 899 total_loss: 0.09644 loss_cls: 0.0391 loss_box_reg: 0.02817 loss_rpn_cls: 0.02408 loss_rpn_loc: 0.003995 loss_D_img_s: 0.0006741 time: 0.5697 last_time: 0.6398 data_time: 0.0222 last_data_time: 0.0422 lr: 0.008991 max_mem: 8825M +[03/20 23:25:08] d2.utils.events INFO: eta: 7:50:19 iter: 919 total_loss: 0.08401 loss_cls: 0.03523 loss_box_reg: 0.02218 loss_rpn_cls: 0.02307 loss_rpn_loc: 0.002909 loss_D_img_s: 0.0006731 time: 0.5705 last_time: 0.6210 data_time: 0.0183 last_data_time: 0.0318 lr: 0.0091908 max_mem: 8825M +[03/20 23:25:20] d2.utils.events INFO: eta: 7:49:59 iter: 939 total_loss: 0.09142 loss_cls: 0.03487 loss_box_reg: 0.02253 loss_rpn_cls: 0.02333 loss_rpn_loc: 0.003477 loss_D_img_s: 0.0006719 time: 0.5706 last_time: 0.6187 data_time: 0.0172 last_data_time: 0.0094 lr: 0.0093906 max_mem: 8825M +[03/20 23:25:31] d2.utils.events INFO: eta: 7:50:05 iter: 959 total_loss: 0.135 loss_cls: 0.05426 loss_box_reg: 0.04791 loss_rpn_cls: 0.02462 loss_rpn_loc: 0.003324 loss_D_img_s: 0.000671 time: 0.5708 last_time: 0.6238 data_time: 0.0150 last_data_time: 0.0096 lr: 0.0095904 max_mem: 8825M +[03/20 23:25:43] d2.utils.events INFO: eta: 7:50:43 iter: 979 total_loss: 0.1124 loss_cls: 0.04124 loss_box_reg: 0.03695 loss_rpn_cls: 0.02236 loss_rpn_loc: 0.003182 loss_D_img_s: 0.0006699 time: 0.5713 last_time: 0.5845 data_time: 0.0233 last_data_time: 0.0104 lr: 0.0097902 max_mem: 8825M +[03/20 23:25:55] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 109 | +| | | +[03/20 23:25:55] d2.data.common INFO: Serializing the dataset using: +[03/20 23:25:55] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:25:55] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:25:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:25:55] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:25:57] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/20 23:28:04] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.614150 (0.129164 s / iter per device, on 1 devices) +[03/20 23:28:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073729 s / iter per device, on 1 devices) +[03/20 23:28:06] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:28:06] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:28:06] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:28:06] d2.evaluation.testing INFO: copypaste: 0.1635,0.7583,0.0015 +[03/20 23:28:06] d2.data.common INFO: Serializing the dataset using: +[03/20 23:28:06] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:28:06] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:28:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:28:06] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:28:09] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:02 +[03/20 23:30:18] d2.evaluation.evaluator INFO: Total inference time: 0:02:10.731814 (0.132320 s / iter per device, on 1 devices) +[03/20 23:30:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:15 (0.076073 s / iter per device, on 1 devices) +[03/20 23:30:32] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:30:32] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:30:32] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:30:32] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000 +[03/20 23:30:32] d2.utils.events INFO: eta: 7:50:28 iter: 999 total_loss: 0.09245 loss_cls: 0.03547 loss_box_reg: 0.03018 loss_rpn_cls: 0.02098 loss_rpn_loc: 0.003108 loss_D_img_s: 0.0006689 time: 0.5713 last_time: 0.6108 data_time: 0.0167 last_data_time: 0.0285 lr: 0.00999 max_mem: 8825M +[03/20 23:30:43] d2.utils.events INFO: eta: 7:49:36 iter: 1019 total_loss: 0.09324 loss_cls: 0.03452 loss_box_reg: 0.03726 loss_rpn_cls: 0.01842 loss_rpn_loc: 0.003019 loss_D_img_s: 0.0006677 time: 0.5710 last_time: 0.5705 data_time: 0.0182 last_data_time: 0.0105 lr: 0.01 max_mem: 8825M +[03/20 23:30:55] d2.utils.events INFO: eta: 7:49:28 iter: 1039 total_loss: 0.109 loss_cls: 0.04613 loss_box_reg: 0.03053 loss_rpn_cls: 0.02409 loss_rpn_loc: 0.003887 loss_D_img_s: 0.0006667 time: 0.5708 last_time: 0.5830 data_time: 0.0175 last_data_time: 0.0111 lr: 0.01 max_mem: 8825M +[03/20 23:31:06] d2.utils.events INFO: eta: 7:49:27 iter: 1059 total_loss: 0.1113 loss_cls: 0.03809 loss_box_reg: 0.03991 loss_rpn_cls: 0.02771 loss_rpn_loc: 0.003402 loss_D_img_s: 0.0006657 time: 0.5706 last_time: 0.5086 data_time: 0.0179 last_data_time: 0.0083 lr: 0.01 max_mem: 8825M +[03/20 23:31:17] d2.utils.events INFO: eta: 7:49:15 iter: 1079 total_loss: 0.09307 loss_cls: 0.03795 loss_box_reg: 0.02665 loss_rpn_cls: 0.01765 loss_rpn_loc: 0.002764 loss_D_img_s: 0.0006644 time: 0.5705 last_time: 0.5190 data_time: 0.0133 last_data_time: 0.0137 lr: 0.01 max_mem: 8825M +[03/20 23:31:28] d2.utils.events INFO: eta: 7:49:33 iter: 1099 total_loss: 0.1219 loss_cls: 0.04415 loss_box_reg: 0.04591 loss_rpn_cls: 0.0242 loss_rpn_loc: 0.004217 loss_D_img_s: 0.0006633 time: 0.5701 last_time: 0.5769 data_time: 0.0191 last_data_time: 0.0085 lr: 0.01 max_mem: 8825M +[03/20 23:31:39] d2.utils.events INFO: eta: 7:48:34 iter: 1119 total_loss: 0.1138 loss_cls: 0.04575 loss_box_reg: 0.03753 loss_rpn_cls: 0.02291 loss_rpn_loc: 0.004066 loss_D_img_s: 0.0006625 time: 0.5699 last_time: 0.5728 data_time: 0.0152 last_data_time: 0.0195 lr: 0.01 max_mem: 8825M +[03/20 23:31:50] d2.utils.events INFO: eta: 7:48:22 iter: 1139 total_loss: 0.07982 loss_cls: 0.02762 loss_box_reg: 0.02233 loss_rpn_cls: 0.01876 loss_rpn_loc: 0.002437 loss_D_img_s: 0.000661 time: 0.5696 last_time: 0.5692 data_time: 0.0234 last_data_time: 0.0161 lr: 0.01 max_mem: 8825M +[03/20 23:32:02] d2.utils.events INFO: eta: 7:48:29 iter: 1159 total_loss: 0.09129 loss_cls: 0.03514 loss_box_reg: 0.03022 loss_rpn_cls: 0.02168 loss_rpn_loc: 0.003002 loss_D_img_s: 0.0006599 time: 0.5697 last_time: 0.5377 data_time: 0.0245 last_data_time: 0.0241 lr: 0.01 max_mem: 8825M +[03/20 23:32:13] d2.utils.events INFO: eta: 7:48:47 iter: 1179 total_loss: 0.08135 loss_cls: 0.0299 loss_box_reg: 0.02726 loss_rpn_cls: 0.01828 loss_rpn_loc: 0.003021 loss_D_img_s: 0.0006588 time: 0.5698 last_time: 0.5340 data_time: 0.0135 last_data_time: 0.0086 lr: 0.01 max_mem: 8825M +[03/20 23:32:25] d2.utils.events INFO: eta: 7:49:10 iter: 1199 total_loss: 0.1073 loss_cls: 0.0412 loss_box_reg: 0.04185 loss_rpn_cls: 0.01853 loss_rpn_loc: 0.003092 loss_D_img_s: 0.0006574 time: 0.5700 last_time: 0.5710 data_time: 0.0177 last_data_time: 0.0403 lr: 0.01 max_mem: 8825M +[03/20 23:32:36] d2.utils.events INFO: eta: 7:49:18 iter: 1219 total_loss: 0.1024 loss_cls: 0.03662 loss_box_reg: 0.03328 loss_rpn_cls: 0.02222 loss_rpn_loc: 0.003944 loss_D_img_s: 0.0006568 time: 0.5700 last_time: 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d2.utils.events INFO: eta: 7:48:01 iter: 1579 total_loss: 0.07762 loss_cls: 0.02667 loss_box_reg: 0.02254 loss_rpn_cls: 0.02005 loss_rpn_loc: 0.003654 loss_D_img_s: 0.0006334 time: 0.5720 last_time: 0.6329 data_time: 0.0155 last_data_time: 0.0097 lr: 0.01 max_mem: 8825M +[03/20 23:36:17] d2.utils.events INFO: eta: 7:48:00 iter: 1599 total_loss: 0.08402 loss_cls: 0.03188 loss_box_reg: 0.03587 loss_rpn_cls: 0.01627 loss_rpn_loc: 0.002972 loss_D_img_s: 0.0006322 time: 0.5722 last_time: 0.5700 data_time: 0.0180 last_data_time: 0.0082 lr: 0.01 max_mem: 8825M +[03/20 23:36:28] d2.utils.events INFO: eta: 7:47:25 iter: 1619 total_loss: 0.1007 loss_cls: 0.03374 loss_box_reg: 0.03945 loss_rpn_cls: 0.01758 loss_rpn_loc: 0.003076 loss_D_img_s: 0.0006301 time: 0.5724 last_time: 0.5922 data_time: 0.0138 last_data_time: 0.0117 lr: 0.01 max_mem: 8825M +[03/20 23:36:40] d2.utils.events INFO: eta: 7:47:26 iter: 1639 total_loss: 0.08702 loss_cls: 0.02717 loss_box_reg: 0.03457 loss_rpn_cls: 0.01717 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0.0142 last_data_time: 0.0087 lr: 0.01 max_mem: 8826M +[03/20 23:40:13] d2.data.common INFO: Serializing the dataset using: +[03/20 23:40:13] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:40:13] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:40:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:40:13] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:40:15] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/20 23:42:18] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.647712 (0.125150 s / iter per device, on 1 devices) +[03/20 23:42:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073104 s / iter per device, on 1 devices) +[03/20 23:42:18] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:42:18] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:42:18] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:42:18] d2.evaluation.testing INFO: copypaste: 0.5790,2.4735,0.0000 +[03/20 23:42:19] d2.data.common INFO: Serializing the dataset using: +[03/20 23:42:19] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:42:19] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:42:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:42:19] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:42:23] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:04 +[03/20 23:44:24] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.271393 (0.125781 s / iter per device, on 1 devices) +[03/20 23:44:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:14 (0.075444 s / iter per device, on 1 devices) +[03/20 23:44:38] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:44:38] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:44:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:44:38] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000 +[03/20 23:44:38] d2.utils.events INFO: eta: 7:42:59 iter: 1999 total_loss: 0.09947 loss_cls: 0.03574 loss_box_reg: 0.04368 loss_rpn_cls: 0.01903 loss_rpn_loc: 0.003285 loss_D_img_s: 0.0006009 time: 0.5756 last_time: 0.5785 data_time: 0.0198 last_data_time: 0.0546 lr: 0.01 max_mem: 8826M +[03/20 23:44:49] d2.utils.events INFO: eta: 7:42:34 iter: 2019 total_loss: 0.08426 loss_cls: 0.03516 loss_box_reg: 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last_data_time: 0.0090 lr: 0.01 max_mem: 8826M +[03/20 23:45:32] d2.utils.events INFO: eta: 7:40:59 iter: 2099 total_loss: 0.07665 loss_cls: 0.03186 loss_box_reg: 0.02489 loss_rpn_cls: 0.01586 loss_rpn_loc: 0.002682 loss_D_img_s: 0.0005905 time: 0.5740 last_time: 0.5386 data_time: 0.0173 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/20 23:45:44] d2.utils.events INFO: eta: 7:41:30 iter: 2119 total_loss: 0.1009 loss_cls: 0.0393 loss_box_reg: 0.04067 loss_rpn_cls: 0.01918 loss_rpn_loc: 0.004058 loss_D_img_s: 0.0005888 time: 0.5740 last_time: 0.5788 data_time: 0.0211 last_data_time: 0.0108 lr: 0.01 max_mem: 8826M +[03/20 23:45:55] d2.utils.events INFO: eta: 7:41:13 iter: 2139 total_loss: 0.09905 loss_cls: 0.03 loss_box_reg: 0.03962 loss_rpn_cls: 0.01869 loss_rpn_loc: 0.003656 loss_D_img_s: 0.0005854 time: 0.5736 last_time: 0.5041 data_time: 0.0227 last_data_time: 0.0106 lr: 0.01 max_mem: 8826M +[03/20 23:46:06] d2.utils.events INFO: eta: 7:40:43 iter: 2159 total_loss: 0.08254 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data_time: 0.0186 last_data_time: 0.0166 lr: 0.01 max_mem: 8826M +[03/20 23:46:52] d2.utils.events INFO: eta: 7:39:38 iter: 2239 total_loss: 0.0917 loss_cls: 0.03319 loss_box_reg: 0.03601 loss_rpn_cls: 0.01518 loss_rpn_loc: 0.003231 loss_D_img_s: 0.0005733 time: 0.5738 last_time: 0.4792 data_time: 0.0206 last_data_time: 0.0097 lr: 0.01 max_mem: 8826M +[03/20 23:47:04] d2.utils.events INFO: eta: 7:39:45 iter: 2259 total_loss: 0.07232 loss_cls: 0.02729 loss_box_reg: 0.02701 loss_rpn_cls: 0.01454 loss_rpn_loc: 0.003285 loss_D_img_s: 0.0005718 time: 0.5740 last_time: 0.6719 data_time: 0.0113 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/20 23:47:16] d2.utils.events INFO: eta: 7:39:58 iter: 2279 total_loss: 0.09573 loss_cls: 0.02659 loss_box_reg: 0.04514 loss_rpn_cls: 0.01772 loss_rpn_loc: 0.003737 loss_D_img_s: 0.0005719 time: 0.5742 last_time: 0.5635 data_time: 0.0164 last_data_time: 0.0157 lr: 0.01 max_mem: 8826M +[03/20 23:47:28] d2.utils.events INFO: eta: 7:39:54 iter: 2299 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7:39:02 iter: 2439 total_loss: 0.1045 loss_cls: 0.03524 loss_box_reg: 0.05173 loss_rpn_cls: 0.01434 loss_rpn_loc: 0.002949 loss_D_img_s: 0.0005486 time: 0.5751 last_time: 0.5916 data_time: 0.0134 last_data_time: 0.0081 lr: 0.01 max_mem: 8826M +[03/20 23:49:02] d2.utils.events INFO: eta: 7:38:51 iter: 2459 total_loss: 0.08838 loss_cls: 0.03191 loss_box_reg: 0.03554 loss_rpn_cls: 0.01565 loss_rpn_loc: 0.002506 loss_D_img_s: 0.0005442 time: 0.5753 last_time: 0.5563 data_time: 0.0242 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/20 23:49:14] d2.utils.events INFO: eta: 7:38:44 iter: 2479 total_loss: 0.09733 loss_cls: 0.0352 loss_box_reg: 0.04273 loss_rpn_cls: 0.01612 loss_rpn_loc: 0.002916 loss_D_img_s: 0.0005417 time: 0.5754 last_time: 0.6253 data_time: 0.0179 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/20 23:49:26] d2.utils.events INFO: eta: 7:38:32 iter: 2499 total_loss: 0.09696 loss_cls: 0.03688 loss_box_reg: 0.03972 loss_rpn_cls: 0.01581 loss_rpn_loc: 0.003061 loss_D_img_s: 0.0005368 time: 0.5754 last_time: 0.5304 data_time: 0.0219 last_data_time: 0.0141 lr: 0.01 max_mem: 8826M +[03/20 23:49:38] d2.utils.events INFO: eta: 7:38:19 iter: 2519 total_loss: 0.08652 loss_cls: 0.03571 loss_box_reg: 0.03624 loss_rpn_cls: 0.01471 loss_rpn_loc: 0.002785 loss_D_img_s: 0.0005339 time: 0.5756 last_time: 0.6160 data_time: 0.0177 last_data_time: 0.0178 lr: 0.01 max_mem: 8826M +[03/20 23:49:49] d2.utils.events INFO: eta: 7:38:07 iter: 2539 total_loss: 0.07041 loss_cls: 0.024 loss_box_reg: 0.02126 loss_rpn_cls: 0.01397 loss_rpn_loc: 0.002997 loss_D_img_s: 0.0005299 time: 0.5755 last_time: 0.5810 data_time: 0.0245 last_data_time: 0.0176 lr: 0.01 max_mem: 8826M +[03/20 23:50:01] d2.utils.events INFO: eta: 7:37:58 iter: 2559 total_loss: 0.09543 loss_cls: 0.03371 loss_box_reg: 0.04332 loss_rpn_cls: 0.01743 loss_rpn_loc: 0.002837 loss_D_img_s: 0.0005292 time: 0.5757 last_time: 0.6265 data_time: 0.0222 last_data_time: 0.0273 lr: 0.01 max_mem: 8826M +[03/20 23:50:13] d2.utils.events INFO: eta: 7:38:11 iter: 2579 total_loss: 0.06368 loss_cls: 0.02525 loss_box_reg: 0.02382 loss_rpn_cls: 0.01742 loss_rpn_loc: 0.00415 loss_D_img_s: 0.0005272 time: 0.5758 last_time: 0.5574 data_time: 0.0208 last_data_time: 0.0103 lr: 0.01 max_mem: 8826M +[03/20 23:50:25] d2.utils.events INFO: eta: 7:38:02 iter: 2599 total_loss: 0.08724 loss_cls: 0.03176 loss_box_reg: 0.02806 loss_rpn_cls: 0.01618 loss_rpn_loc: 0.002947 loss_D_img_s: 0.0005231 time: 0.5759 last_time: 0.6654 data_time: 0.0236 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/20 23:50:37] d2.utils.events INFO: eta: 7:38:07 iter: 2619 total_loss: 0.09824 loss_cls: 0.03759 loss_box_reg: 0.0358 loss_rpn_cls: 0.01687 loss_rpn_loc: 0.00309 loss_D_img_s: 0.0005184 time: 0.5761 last_time: 0.6247 data_time: 0.0171 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/20 23:50:49] d2.utils.events INFO: eta: 7:38:19 iter: 2639 total_loss: 0.1112 loss_cls: 0.04065 loss_box_reg: 0.04429 loss_rpn_cls: 0.01817 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8826M +[03/20 23:51:36] d2.utils.events INFO: eta: 7:38:04 iter: 2719 total_loss: 0.07919 loss_cls: 0.02465 loss_box_reg: 0.03426 loss_rpn_cls: 0.01627 loss_rpn_loc: 0.00371 loss_D_img_s: 0.0005005 time: 0.5767 last_time: 0.5757 data_time: 0.0173 last_data_time: 0.0112 lr: 0.01 max_mem: 8826M +[03/20 23:51:48] d2.utils.events INFO: eta: 7:37:49 iter: 2739 total_loss: 0.09277 loss_cls: 0.02889 loss_box_reg: 0.03869 loss_rpn_cls: 0.01628 loss_rpn_loc: 0.002646 loss_D_img_s: 0.0004958 time: 0.5768 last_time: 0.5459 data_time: 0.0195 last_data_time: 0.0294 lr: 0.01 max_mem: 8826M +[03/20 23:52:00] d2.utils.events INFO: eta: 7:37:35 iter: 2759 total_loss: 0.07619 loss_cls: 0.02636 loss_box_reg: 0.03991 loss_rpn_cls: 0.01399 loss_rpn_loc: 0.002479 loss_D_img_s: 0.0004912 time: 0.5770 last_time: 0.5785 data_time: 0.0176 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/20 23:52:12] d2.utils.events INFO: eta: 7:37:33 iter: 2779 total_loss: 0.08832 loss_cls: 0.03008 loss_box_reg: 0.03396 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0.0205 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/20 23:54:21] d2.data.common INFO: Serializing the dataset using: +[03/20 23:54:21] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:54:21] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:54:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:54:21] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:54:23] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/20 23:56:27] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.900480 (0.126417 s / iter per device, on 1 devices) +[03/20 23:56:27] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072171 s / iter per device, on 1 devices) +[03/20 23:56:27] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:56:27] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:56:27] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:56:27] d2.evaluation.testing INFO: copypaste: 0.9028,3.2327,0.1488 +[03/20 23:56:27] d2.data.common INFO: Serializing the dataset using: +[03/20 23:56:27] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/20 23:56:27] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/20 23:56:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/20 23:56:27] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/20 23:56:30] d2.evaluation.evaluator INFO: Inference done 17/993. 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ETA=0:00:04 +[03/20 23:58:37] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.137880 (0.129694 s / iter per device, on 1 devices) +[03/20 23:58:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:14 (0.075602 s / iter per device, on 1 devices) +[03/20 23:58:51] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/20 23:58:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/20 23:58:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/20 23:58:51] d2.evaluation.testing INFO: copypaste: 0.0021,0.0188,0.0000 +[03/20 23:58:51] d2.utils.events INFO: eta: 7:34:55 iter: 2999 total_loss: 0.07509 loss_cls: 0.02758 loss_box_reg: 0.03393 loss_rpn_cls: 0.01635 loss_rpn_loc: 0.002862 loss_D_img_s: 0.000431 time: 0.5776 last_time: 0.5912 data_time: 0.0150 last_data_time: 0.0220 lr: 0.01 max_mem: 8826M +[03/20 23:59:01] d2.utils.events INFO: eta: 7:35:03 iter: 3019 total_loss: 0.07117 loss_cls: 0.02683 loss_box_reg: 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max_mem: 8826M +[03/21 00:05:48] d2.utils.events INFO: eta: 7:27:53 iter: 3719 total_loss: 0.08101 loss_cls: 0.033 loss_box_reg: 0.03512 loss_rpn_cls: 0.01464 loss_rpn_loc: 0.003347 loss_D_img_s: 0.0001896 time: 0.5777 last_time: 0.6428 data_time: 0.0238 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 00:05:59] d2.utils.events INFO: eta: 7:27:33 iter: 3739 total_loss: 0.1062 loss_cls: 0.03807 loss_box_reg: 0.04564 loss_rpn_cls: 0.01386 loss_rpn_loc: 0.003305 loss_D_img_s: 0.0001916 time: 0.5776 last_time: 0.6087 data_time: 0.0232 last_data_time: 0.0327 lr: 0.01 max_mem: 8826M +[03/21 00:06:11] d2.utils.events INFO: eta: 7:27:21 iter: 3759 total_loss: 0.08884 loss_cls: 0.03444 loss_box_reg: 0.03268 loss_rpn_cls: 0.01383 loss_rpn_loc: 0.002656 loss_D_img_s: 0.000183 time: 0.5777 last_time: 0.5589 data_time: 0.0168 last_data_time: 0.0291 lr: 0.01 max_mem: 8826M +[03/21 00:06:22] d2.utils.events INFO: eta: 7:27:04 iter: 3779 total_loss: 0.07279 loss_cls: 0.02762 loss_box_reg: 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last_data_time: 0.0087 lr: 0.01 max_mem: 8826M +[03/21 00:07:08] d2.utils.events INFO: eta: 7:24:44 iter: 3859 total_loss: 0.09391 loss_cls: 0.03591 loss_box_reg: 0.04438 loss_rpn_cls: 0.01488 loss_rpn_loc: 0.003056 loss_D_img_s: 0.0001619 time: 0.5777 last_time: 0.5776 data_time: 0.0216 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 00:07:20] d2.utils.events INFO: eta: 7:24:56 iter: 3879 total_loss: 0.08217 loss_cls: 0.02511 loss_box_reg: 0.03767 loss_rpn_cls: 0.01118 loss_rpn_loc: 0.003345 loss_D_img_s: 0.0001556 time: 0.5778 last_time: 0.5677 data_time: 0.0148 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/21 00:07:32] d2.utils.events INFO: eta: 7:25:10 iter: 3899 total_loss: 0.09621 loss_cls: 0.03825 loss_box_reg: 0.05289 loss_rpn_cls: 0.01234 loss_rpn_loc: 0.002696 loss_D_img_s: 0.000148 time: 0.5778 last_time: 0.6552 data_time: 0.0189 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 00:07:44] d2.utils.events INFO: eta: 7:25:00 iter: 3919 total_loss: 0.08245 loss_cls: 0.02948 loss_box_reg: 0.03995 loss_rpn_cls: 0.0139 loss_rpn_loc: 0.003124 loss_D_img_s: 0.0001467 time: 0.5778 last_time: 0.5572 data_time: 0.0194 last_data_time: 0.0117 lr: 0.01 max_mem: 8826M +[03/21 00:07:55] d2.utils.events INFO: eta: 7:24:18 iter: 3939 total_loss: 0.09861 loss_cls: 0.03828 loss_box_reg: 0.0435 loss_rpn_cls: 0.01543 loss_rpn_loc: 0.003046 loss_D_img_s: 0.00014 time: 0.5778 last_time: 0.5820 data_time: 0.0229 last_data_time: 0.0357 lr: 0.01 max_mem: 8826M +[03/21 00:08:07] d2.utils.events INFO: eta: 7:24:33 iter: 3959 total_loss: 0.08282 loss_cls: 0.03294 loss_box_reg: 0.03104 loss_rpn_cls: 0.01476 loss_rpn_loc: 0.002836 loss_D_img_s: 0.0001384 time: 0.5779 last_time: 0.5934 data_time: 0.0285 last_data_time: 0.0438 lr: 0.01 max_mem: 8826M +[03/21 00:08:19] d2.utils.events INFO: eta: 7:24:01 iter: 3979 total_loss: 0.09218 loss_cls: 0.0344 loss_box_reg: 0.0368 loss_rpn_cls: 0.01658 loss_rpn_loc: 0.002787 loss_D_img_s: 0.0001319 time: 0.5779 last_time: 0.6117 data_time: 0.0190 last_data_time: 0.0174 lr: 0.01 max_mem: 8826M +[03/21 00:08:31] d2.data.common INFO: Serializing the dataset using: +[03/21 00:08:31] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:08:31] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:08:31] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:08:31] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:08:33] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 00:10:40] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.270511 (0.128816 s / iter per device, on 1 devices) +[03/21 00:10:40] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074882 s / iter per device, on 1 devices) +[03/21 00:10:40] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:10:40] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:10:40] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:10:40] d2.evaluation.testing INFO: copypaste: 0.5393,2.7308,0.0429 +[03/21 00:10:40] d2.data.common INFO: Serializing the dataset using: +[03/21 00:10:40] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:10:40] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:10:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:10:40] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:10:42] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 00:12:47] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.426992 (0.126950 s / iter per device, on 1 devices) +[03/21 00:12:47] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073872 s / iter per device, on 1 devices) +[03/21 00:13:01] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:13:01] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:13:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:13:01] d2.evaluation.testing INFO: copypaste: 0.1817,0.7695,0.0003 +[03/21 00:13:01] d2.utils.events INFO: eta: 7:23:49 iter: 3999 total_loss: 0.08613 loss_cls: 0.03661 loss_box_reg: 0.03353 loss_rpn_cls: 0.01173 loss_rpn_loc: 0.002197 loss_D_img_s: 0.0001286 time: 0.5780 last_time: 0.6924 data_time: 0.0216 last_data_time: 0.0099 lr: 0.01 max_mem: 8826M +[03/21 00:13:11] d2.utils.events INFO: eta: 7:23:35 iter: 4019 total_loss: 0.08338 loss_cls: 0.03129 loss_box_reg: 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last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 00:13:55] d2.utils.events INFO: eta: 7:21:59 iter: 4099 total_loss: 0.08139 loss_cls: 0.02927 loss_box_reg: 0.0365 loss_rpn_cls: 0.01553 loss_rpn_loc: 0.003311 loss_D_img_s: 0.0001139 time: 0.5771 last_time: 0.5730 data_time: 0.0215 last_data_time: 0.0162 lr: 0.01 max_mem: 8826M +[03/21 00:14:06] d2.utils.events INFO: eta: 7:21:28 iter: 4119 total_loss: 0.08505 loss_cls: 0.02794 loss_box_reg: 0.03264 loss_rpn_cls: 0.0138 loss_rpn_loc: 0.003172 loss_D_img_s: 0.0001069 time: 0.5770 last_time: 0.5565 data_time: 0.0140 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 00:14:18] d2.utils.events INFO: eta: 7:21:48 iter: 4139 total_loss: 0.0858 loss_cls: 0.03009 loss_box_reg: 0.03883 loss_rpn_cls: 0.01502 loss_rpn_loc: 0.003022 loss_D_img_s: 0.0001038 time: 0.5770 last_time: 0.5971 data_time: 0.0213 last_data_time: 0.0145 lr: 0.01 max_mem: 8826M +[03/21 00:14:29] d2.utils.events INFO: eta: 7:21:37 iter: 4159 total_loss: 0.07996 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0.0220 last_data_time: 0.0097 lr: 0.01 max_mem: 8826M +[03/21 00:22:44] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0004999.pth +[03/21 00:22:45] d2.data.common INFO: Serializing the dataset using: +[03/21 00:22:45] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:22:45] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:22:45] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:22:45] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:22:48] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 00:24:50] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.939285 (0.124432 s / iter per device, on 1 devices) +[03/21 00:24:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:09 (0.070087 s / iter per device, on 1 devices) +[03/21 00:24:50] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:24:50] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:24:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:24:50] d2.evaluation.testing INFO: copypaste: 1.1577,3.6316,0.1708 +[03/21 00:24:50] d2.data.common INFO: Serializing the dataset using: +[03/21 00:24:50] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:24:50] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:24:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:24:50] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:24:54] d2.evaluation.evaluator INFO: Inference done 23/993. 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ETA=0:00:00 +[03/21 00:26:57] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.822274 (0.127350 s / iter per device, on 1 devices) +[03/21 00:26:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072702 s / iter per device, on 1 devices) +[03/21 00:27:01] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:27:01] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:27:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:27:01] d2.evaluation.testing INFO: copypaste: 0.5401,1.9462,0.0002 +[03/21 00:27:01] d2.utils.events INFO: eta: 7:14:38 iter: 4999 total_loss: 0.08774 loss_cls: 0.03222 loss_box_reg: 0.04779 loss_rpn_cls: 0.00989 loss_rpn_loc: 0.002157 loss_D_img_s: 4.394e-05 time: 0.5789 last_time: 0.5643 data_time: 0.0185 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 00:27:12] d2.utils.events INFO: eta: 7:14:52 iter: 5019 total_loss: 0.08553 loss_cls: 0.02592 loss_box_reg: 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last_data_time: 0.0095 lr: 0.01 max_mem: 8826M +[03/21 00:27:58] d2.utils.events INFO: eta: 7:15:19 iter: 5099 total_loss: 0.07915 loss_cls: 0.02927 loss_box_reg: 0.03759 loss_rpn_cls: 0.01455 loss_rpn_loc: 0.002664 loss_D_img_s: 4.14e-05 time: 0.5787 last_time: 0.6073 data_time: 0.0221 last_data_time: 0.0579 lr: 0.01 max_mem: 8826M +[03/21 00:28:09] d2.utils.events INFO: eta: 7:15:38 iter: 5119 total_loss: 0.08663 loss_cls: 0.03254 loss_box_reg: 0.04594 loss_rpn_cls: 0.01404 loss_rpn_loc: 0.003109 loss_D_img_s: 3.758e-05 time: 0.5787 last_time: 0.5873 data_time: 0.0140 last_data_time: 0.0111 lr: 0.01 max_mem: 8826M +[03/21 00:28:21] d2.utils.events INFO: eta: 7:15:26 iter: 5139 total_loss: 0.07716 loss_cls: 0.02399 loss_box_reg: 0.03199 loss_rpn_cls: 0.0114 loss_rpn_loc: 0.002691 loss_D_img_s: 3.875e-05 time: 0.5787 last_time: 0.6045 data_time: 0.0156 last_data_time: 0.0287 lr: 0.01 max_mem: 8826M +[03/21 00:28:33] d2.utils.events INFO: eta: 7:15:15 iter: 5159 total_loss: 0.09281 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0.6182 data_time: 0.0230 last_data_time: 0.0130 lr: 0.01 max_mem: 8826M +[03/21 00:29:18] d2.utils.events INFO: eta: 7:13:49 iter: 5239 total_loss: 0.08461 loss_cls: 0.02888 loss_box_reg: 0.03998 loss_rpn_cls: 0.01405 loss_rpn_loc: 0.003202 loss_D_img_s: 3.579e-05 time: 0.5786 last_time: 0.6201 data_time: 0.0216 last_data_time: 0.0137 lr: 0.01 max_mem: 8826M +[03/21 00:29:30] d2.utils.events INFO: eta: 7:13:44 iter: 5259 total_loss: 0.08702 loss_cls: 0.02485 loss_box_reg: 0.04071 loss_rpn_cls: 0.01153 loss_rpn_loc: 0.002535 loss_D_img_s: 3.384e-05 time: 0.5787 last_time: 0.5490 data_time: 0.0176 last_data_time: 0.0183 lr: 0.01 max_mem: 8826M +[03/21 00:29:42] d2.utils.events INFO: eta: 7:13:42 iter: 5279 total_loss: 0.07338 loss_cls: 0.02716 loss_box_reg: 0.03222 loss_rpn_cls: 0.01342 loss_rpn_loc: 0.003355 loss_D_img_s: 3.447e-05 time: 0.5786 last_time: 0.5487 data_time: 0.0177 last_data_time: 0.0132 lr: 0.01 max_mem: 8826M +[03/21 00:29:53] d2.utils.events INFO: eta: 7:13:14 iter: 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time: 0.5788 last_time: 0.5706 data_time: 0.0147 last_data_time: 0.0281 lr: 0.01 max_mem: 8826M +[03/21 00:30:41] d2.utils.events INFO: eta: 7:12:13 iter: 5379 total_loss: 0.0973 loss_cls: 0.0358 loss_box_reg: 0.04364 loss_rpn_cls: 0.01213 loss_rpn_loc: 0.003474 loss_D_img_s: 3.208e-05 time: 0.5788 last_time: 0.5714 data_time: 0.0184 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 00:30:53] d2.utils.events INFO: eta: 7:12:16 iter: 5399 total_loss: 0.07709 loss_cls: 0.03027 loss_box_reg: 0.0344 loss_rpn_cls: 0.01267 loss_rpn_loc: 0.003498 loss_D_img_s: 3.117e-05 time: 0.5789 last_time: 0.6325 data_time: 0.0134 last_data_time: 0.0253 lr: 0.01 max_mem: 8826M +[03/21 00:31:04] d2.utils.events INFO: eta: 7:12:09 iter: 5419 total_loss: 0.08433 loss_cls: 0.03199 loss_box_reg: 0.03937 loss_rpn_cls: 0.009516 loss_rpn_loc: 0.002156 loss_D_img_s: 2.788e-05 time: 0.5789 last_time: 0.6671 data_time: 0.0162 last_data_time: 0.0109 lr: 0.01 max_mem: 8826M +[03/21 00:31:16] d2.utils.events INFO: eta: 7:12:30 iter: 5439 total_loss: 0.09331 loss_cls: 0.02873 loss_box_reg: 0.04207 loss_rpn_cls: 0.01285 loss_rpn_loc: 0.002282 loss_D_img_s: 2.988e-05 time: 0.5789 last_time: 0.5676 data_time: 0.0199 last_data_time: 0.0139 lr: 0.01 max_mem: 8826M +[03/21 00:31:28] d2.utils.events INFO: eta: 7:11:52 iter: 5459 total_loss: 0.1036 loss_cls: 0.03329 loss_box_reg: 0.04578 loss_rpn_cls: 0.01297 loss_rpn_loc: 0.002906 loss_D_img_s: 2.897e-05 time: 0.5789 last_time: 0.5547 data_time: 0.0183 last_data_time: 0.0100 lr: 0.01 max_mem: 8826M +[03/21 00:31:39] d2.utils.events INFO: eta: 7:11:23 iter: 5479 total_loss: 0.09033 loss_cls: 0.02748 loss_box_reg: 0.0518 loss_rpn_cls: 0.01182 loss_rpn_loc: 0.002875 loss_D_img_s: 2.794e-05 time: 0.5789 last_time: 0.5704 data_time: 0.0185 last_data_time: 0.0336 lr: 0.01 max_mem: 8826M +[03/21 00:31:51] d2.utils.events INFO: eta: 7:10:46 iter: 5499 total_loss: 0.08595 loss_cls: 0.02645 loss_box_reg: 0.03951 loss_rpn_cls: 0.01148 loss_rpn_loc: 0.002862 loss_D_img_s: 2.881e-05 time: 0.5789 last_time: 0.6408 data_time: 0.0268 last_data_time: 0.0505 lr: 0.01 max_mem: 8826M +[03/21 00:32:03] d2.utils.events INFO: eta: 7:11:00 iter: 5519 total_loss: 0.0808 loss_cls: 0.02594 loss_box_reg: 0.0325 loss_rpn_cls: 0.01352 loss_rpn_loc: 0.002834 loss_D_img_s: 2.68e-05 time: 0.5790 last_time: 0.6135 data_time: 0.0194 last_data_time: 0.0104 lr: 0.01 max_mem: 8826M +[03/21 00:32:14] d2.utils.events INFO: eta: 7:10:52 iter: 5539 total_loss: 0.0712 loss_cls: 0.02224 loss_box_reg: 0.03042 loss_rpn_cls: 0.0116 loss_rpn_loc: 0.002676 loss_D_img_s: 2.783e-05 time: 0.5790 last_time: 0.5892 data_time: 0.0175 last_data_time: 0.0153 lr: 0.01 max_mem: 8826M +[03/21 00:32:26] d2.utils.events INFO: eta: 7:10:20 iter: 5559 total_loss: 0.08947 loss_cls: 0.03152 loss_box_reg: 0.03834 loss_rpn_cls: 0.01306 loss_rpn_loc: 0.003412 loss_D_img_s: 2.712e-05 time: 0.5791 last_time: 0.6169 data_time: 0.0215 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 00:32:38] d2.utils.events INFO: eta: 7:10:33 iter: 5579 total_loss: 0.09364 loss_cls: 0.03376 loss_box_reg: 0.04582 loss_rpn_cls: 0.01529 loss_rpn_loc: 0.00319 loss_D_img_s: 2.942e-05 time: 0.5791 last_time: 0.6253 data_time: 0.0263 last_data_time: 0.0232 lr: 0.01 max_mem: 8826M +[03/21 00:32:50] d2.utils.events INFO: eta: 7:10:51 iter: 5599 total_loss: 0.0864 loss_cls: 0.02954 loss_box_reg: 0.03764 loss_rpn_cls: 0.01327 loss_rpn_loc: 0.002847 loss_D_img_s: 2.506e-05 time: 0.5792 last_time: 0.6160 data_time: 0.0187 last_data_time: 0.0111 lr: 0.01 max_mem: 8826M +[03/21 00:33:02] d2.utils.events INFO: eta: 7:10:05 iter: 5619 total_loss: 0.0958 loss_cls: 0.03521 loss_box_reg: 0.04258 loss_rpn_cls: 0.01653 loss_rpn_loc: 0.003481 loss_D_img_s: 2.808e-05 time: 0.5792 last_time: 0.5780 data_time: 0.0279 last_data_time: 0.0283 lr: 0.01 max_mem: 8826M +[03/21 00:33:13] d2.utils.events INFO: eta: 7:10:14 iter: 5639 total_loss: 0.0758 loss_cls: 0.02482 loss_box_reg: 0.03489 loss_rpn_cls: 0.01165 loss_rpn_loc: 0.002719 loss_D_img_s: 2.585e-05 time: 0.5792 last_time: 0.5835 data_time: 0.0173 last_data_time: 0.0287 lr: 0.01 max_mem: 8826M +[03/21 00:33:25] d2.utils.events INFO: eta: 7:10:16 iter: 5659 total_loss: 0.09882 loss_cls: 0.03374 loss_box_reg: 0.03508 loss_rpn_cls: 0.01328 loss_rpn_loc: 0.002334 loss_D_img_s: 2.61e-05 time: 0.5792 last_time: 0.5962 data_time: 0.0258 last_data_time: 0.0320 lr: 0.01 max_mem: 8826M +[03/21 00:33:37] d2.utils.events INFO: eta: 7:10:15 iter: 5679 total_loss: 0.07658 loss_cls: 0.0286 loss_box_reg: 0.03852 loss_rpn_cls: 0.01229 loss_rpn_loc: 0.002483 loss_D_img_s: 2.578e-05 time: 0.5794 last_time: 0.6985 data_time: 0.0203 last_data_time: 0.0312 lr: 0.01 max_mem: 8826M +[03/21 00:33:49] d2.utils.events INFO: eta: 7:10:08 iter: 5699 total_loss: 0.0843 loss_cls: 0.03041 loss_box_reg: 0.03725 loss_rpn_cls: 0.0122 loss_rpn_loc: 0.002296 loss_D_img_s: 2.52e-05 time: 0.5794 last_time: 0.6303 data_time: 0.0186 last_data_time: 0.0168 lr: 0.01 max_mem: 8826M +[03/21 00:34:01] d2.utils.events INFO: eta: 7:09:56 iter: 5719 total_loss: 0.0708 loss_cls: 0.02264 loss_box_reg: 0.03372 loss_rpn_cls: 0.008805 loss_rpn_loc: 0.002222 loss_D_img_s: 2.574e-05 time: 0.5794 last_time: 0.5753 data_time: 0.0203 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 00:34:13] d2.utils.events INFO: eta: 7:09:36 iter: 5739 total_loss: 0.06329 loss_cls: 0.02023 loss_box_reg: 0.02989 loss_rpn_cls: 0.00904 loss_rpn_loc: 0.002395 loss_D_img_s: 2.358e-05 time: 0.5794 last_time: 0.6181 data_time: 0.0143 last_data_time: 0.0236 lr: 0.01 max_mem: 8826M +[03/21 00:34:24] d2.utils.events INFO: eta: 7:09:18 iter: 5759 total_loss: 0.07145 loss_cls: 0.02386 loss_box_reg: 0.03543 loss_rpn_cls: 0.01218 loss_rpn_loc: 0.002925 loss_D_img_s: 2.582e-05 time: 0.5795 last_time: 0.5831 data_time: 0.0193 last_data_time: 0.0220 lr: 0.01 max_mem: 8826M +[03/21 00:34:36] d2.utils.events INFO: eta: 7:09:43 iter: 5779 total_loss: 0.0904 loss_cls: 0.0308 loss_box_reg: 0.04228 loss_rpn_cls: 0.01329 loss_rpn_loc: 0.003139 loss_D_img_s: 2.608e-05 time: 0.5795 last_time: 0.6089 data_time: 0.0177 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 00:34:48] d2.utils.events INFO: eta: 7:09:12 iter: 5799 total_loss: 0.07163 loss_cls: 0.02696 loss_box_reg: 0.03104 loss_rpn_cls: 0.01162 loss_rpn_loc: 0.002264 loss_D_img_s: 2.619e-05 time: 0.5795 last_time: 0.5313 data_time: 0.0146 last_data_time: 0.0130 lr: 0.01 max_mem: 8826M +[03/21 00:34:59] d2.utils.events INFO: eta: 7:08:55 iter: 5819 total_loss: 0.07031 loss_cls: 0.02566 loss_box_reg: 0.03504 loss_rpn_cls: 0.01478 loss_rpn_loc: 0.00357 loss_D_img_s: 2.56e-05 time: 0.5795 last_time: 0.5929 data_time: 0.0216 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/21 00:35:11] d2.utils.events INFO: eta: 7:09:02 iter: 5839 total_loss: 0.08425 loss_cls: 0.0316 loss_box_reg: 0.03746 loss_rpn_cls: 0.009371 loss_rpn_loc: 0.002287 loss_D_img_s: 2.513e-05 time: 0.5795 last_time: 0.6198 data_time: 0.0156 last_data_time: 0.0104 lr: 0.01 max_mem: 8826M +[03/21 00:35:23] d2.utils.events INFO: eta: 7:09:07 iter: 5859 total_loss: 0.08512 loss_cls: 0.02929 loss_box_reg: 0.03773 loss_rpn_cls: 0.01296 loss_rpn_loc: 0.002882 loss_D_img_s: 2.388e-05 time: 0.5796 last_time: 0.5426 data_time: 0.0207 last_data_time: 0.0219 lr: 0.01 max_mem: 8826M +[03/21 00:35:35] d2.utils.events INFO: eta: 7:09:04 iter: 5879 total_loss: 0.09193 loss_cls: 0.02992 loss_box_reg: 0.04558 loss_rpn_cls: 0.01199 loss_rpn_loc: 0.002151 loss_D_img_s: 2.413e-05 time: 0.5796 last_time: 0.5655 data_time: 0.0202 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 00:35:47] d2.utils.events INFO: eta: 7:08:52 iter: 5899 total_loss: 0.08666 loss_cls: 0.02703 loss_box_reg: 0.03795 loss_rpn_cls: 0.009677 loss_rpn_loc: 0.002227 loss_D_img_s: 2.302e-05 time: 0.5796 last_time: 0.5935 data_time: 0.0163 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 00:35:59] d2.utils.events INFO: eta: 7:08:58 iter: 5919 total_loss: 0.09278 loss_cls: 0.02888 loss_box_reg: 0.03936 loss_rpn_cls: 0.01234 loss_rpn_loc: 0.002855 loss_D_img_s: 2.326e-05 time: 0.5797 last_time: 0.5517 data_time: 0.0175 last_data_time: 0.0125 lr: 0.01 max_mem: 8826M +[03/21 00:36:10] d2.utils.events INFO: eta: 7:08:47 iter: 5939 total_loss: 0.07118 loss_cls: 0.02565 loss_box_reg: 0.03326 loss_rpn_cls: 0.01023 loss_rpn_loc: 0.002837 loss_D_img_s: 2.215e-05 time: 0.5797 last_time: 0.7040 data_time: 0.0146 last_data_time: 0.0106 lr: 0.01 max_mem: 8826M +[03/21 00:36:22] d2.utils.events INFO: eta: 7:07:52 iter: 5959 total_loss: 0.09887 loss_cls: 0.02903 loss_box_reg: 0.0495 loss_rpn_cls: 0.01259 loss_rpn_loc: 0.002778 loss_D_img_s: 2.055e-05 time: 0.5797 last_time: 0.5882 data_time: 0.0202 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 00:36:34] d2.utils.events INFO: eta: 7:07:47 iter: 5979 total_loss: 0.09567 loss_cls: 0.03218 loss_box_reg: 0.04758 loss_rpn_cls: 0.01158 loss_rpn_loc: 0.002659 loss_D_img_s: 2.152e-05 time: 0.5798 last_time: 0.6507 data_time: 0.0172 last_data_time: 0.0276 lr: 0.01 max_mem: 8826M +[03/21 00:36:46] d2.data.common INFO: Serializing the dataset using: +[03/21 00:36:46] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:36:46] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:36:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:36:46] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:36:49] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:03 +[03/21 00:38:54] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.236482 (0.127770 s / iter per device, on 1 devices) +[03/21 00:38:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073368 s / iter per device, on 1 devices) +[03/21 00:38:54] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:38:54] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:38:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:38:54] d2.evaluation.testing INFO: copypaste: 1.1784,3.4578,0.0942 +[03/21 00:38:54] d2.data.common INFO: Serializing the dataset using: +[03/21 00:38:54] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:38:54] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:38:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:38:54] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:38:57] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 00:40:59] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.620299 (0.125122 s / iter per device, on 1 devices) +[03/21 00:40:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071711 s / iter per device, on 1 devices) +[03/21 00:41:00] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:41:00] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:41:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:41:00] d2.evaluation.testing INFO: copypaste: 1.0771,3.2297,0.0155 +[03/21 00:41:00] d2.utils.events INFO: eta: 7:08:12 iter: 5999 total_loss: 0.09197 loss_cls: 0.03149 loss_box_reg: 0.04916 loss_rpn_cls: 0.01244 loss_rpn_loc: 0.002505 loss_D_img_s: 2.256e-05 time: 0.5798 last_time: 0.5828 data_time: 0.0170 last_data_time: 0.0198 lr: 0.01 max_mem: 8826M +[03/21 00:41:11] d2.utils.events INFO: eta: 7:07:32 iter: 6019 total_loss: 0.08121 loss_cls: 0.0254 loss_box_reg: 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0.0203 last_data_time: 0.0129 lr: 0.01 max_mem: 8826M +[03/21 00:49:22] d2.utils.events INFO: eta: 6:59:32 iter: 6859 total_loss: 0.08694 loss_cls: 0.03057 loss_box_reg: 0.04651 loss_rpn_cls: 0.01145 loss_rpn_loc: 0.002799 loss_D_img_s: 1.485e-05 time: 0.5802 last_time: 0.6200 data_time: 0.0184 last_data_time: 0.0100 lr: 0.01 max_mem: 8826M +[03/21 00:49:33] d2.utils.events INFO: eta: 6:59:11 iter: 6879 total_loss: 0.08791 loss_cls: 0.03164 loss_box_reg: 0.04694 loss_rpn_cls: 0.0124 loss_rpn_loc: 0.002704 loss_D_img_s: 1.567e-05 time: 0.5801 last_time: 0.5882 data_time: 0.0213 last_data_time: 0.0389 lr: 0.01 max_mem: 8826M +[03/21 00:49:45] d2.utils.events INFO: eta: 6:58:59 iter: 6899 total_loss: 0.08472 loss_cls: 0.02965 loss_box_reg: 0.0402 loss_rpn_cls: 0.01175 loss_rpn_loc: 0.003291 loss_D_img_s: 1.525e-05 time: 0.5801 last_time: 0.5853 data_time: 0.0198 last_data_time: 0.0117 lr: 0.01 max_mem: 8826M +[03/21 00:49:57] d2.utils.events INFO: eta: 6:59:01 iter: 6919 total_loss: 0.09624 loss_cls: 0.02895 loss_box_reg: 0.05155 loss_rpn_cls: 0.006405 loss_rpn_loc: 0.002188 loss_D_img_s: 1.385e-05 time: 0.5802 last_time: 0.6459 data_time: 0.0186 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 00:50:09] d2.utils.events INFO: eta: 6:58:59 iter: 6939 total_loss: 0.08606 loss_cls: 0.02851 loss_box_reg: 0.04117 loss_rpn_cls: 0.01046 loss_rpn_loc: 0.002416 loss_D_img_s: 1.37e-05 time: 0.5803 last_time: 0.6113 data_time: 0.0159 last_data_time: 0.0183 lr: 0.01 max_mem: 8826M +[03/21 00:50:20] d2.utils.events INFO: eta: 6:58:38 iter: 6959 total_loss: 0.07963 loss_cls: 0.02622 loss_box_reg: 0.03786 loss_rpn_cls: 0.01068 loss_rpn_loc: 0.002658 loss_D_img_s: 1.492e-05 time: 0.5802 last_time: 0.6032 data_time: 0.0184 last_data_time: 0.0093 lr: 0.01 max_mem: 8826M +[03/21 00:50:31] d2.utils.events INFO: eta: 6:57:52 iter: 6979 total_loss: 0.07206 loss_cls: 0.02533 loss_box_reg: 0.03623 loss_rpn_cls: 0.01243 loss_rpn_loc: 0.002722 loss_D_img_s: 1.667e-05 time: 0.5802 last_time: 0.5244 data_time: 0.0221 last_data_time: 0.0139 lr: 0.01 max_mem: 8826M +[03/21 00:50:43] d2.data.common INFO: Serializing the dataset using: +[03/21 00:50:43] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:50:43] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:50:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:50:43] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:50:46] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 00:52:49] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.591612 (0.126105 s / iter per device, on 1 devices) +[03/21 00:52:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074117 s / iter per device, on 1 devices) +[03/21 00:52:49] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:52:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:52:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:52:49] d2.evaluation.testing INFO: copypaste: 0.6814,2.9447,0.0628 +[03/21 00:52:49] d2.data.common INFO: Serializing the dataset using: +[03/21 00:52:49] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 00:52:49] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 00:52:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 00:52:49] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 00:52:53] d2.evaluation.evaluator INFO: Inference done 22/993. 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ETA=0:00:00 +[03/21 00:54:56] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.749640 (0.126265 s / iter per device, on 1 devices) +[03/21 00:54:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072369 s / iter per device, on 1 devices) +[03/21 00:54:56] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 00:54:56] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 00:54:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 00:54:56] d2.evaluation.testing INFO: copypaste: 0.8668,2.6061,0.0566 +[03/21 00:54:56] d2.utils.events INFO: eta: 6:57:40 iter: 6999 total_loss: 0.08346 loss_cls: 0.02762 loss_box_reg: 0.03751 loss_rpn_cls: 0.0114 loss_rpn_loc: 0.002743 loss_D_img_s: 1.576e-05 time: 0.5802 last_time: 0.6272 data_time: 0.0157 last_data_time: 0.0204 lr: 0.01 max_mem: 8826M +[03/21 00:55:07] d2.utils.events INFO: eta: 6:57:24 iter: 7019 total_loss: 0.07853 loss_cls: 0.02842 loss_box_reg: 0.03682 loss_rpn_cls: 0.01204 loss_rpn_loc: 0.001984 loss_D_img_s: 1.563e-05 time: 0.5800 last_time: 0.5612 data_time: 0.0136 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 00:55:18] d2.utils.events INFO: eta: 6:56:53 iter: 7039 total_loss: 0.0713 loss_cls: 0.02362 loss_box_reg: 0.03256 loss_rpn_cls: 0.01305 loss_rpn_loc: 0.002608 loss_D_img_s: 1.472e-05 time: 0.5799 last_time: 0.5445 data_time: 0.0140 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/21 00:55:29] d2.utils.events INFO: eta: 6:56:31 iter: 7059 total_loss: 0.0742 loss_cls: 0.02267 loss_box_reg: 0.04127 loss_rpn_cls: 0.0111 loss_rpn_loc: 0.002364 loss_D_img_s: 1.506e-05 time: 0.5798 last_time: 0.5481 data_time: 0.0169 last_data_time: 0.0146 lr: 0.01 max_mem: 8826M +[03/21 00:55:40] d2.utils.events INFO: eta: 6:56:32 iter: 7079 total_loss: 0.07786 loss_cls: 0.02184 loss_box_reg: 0.04159 loss_rpn_cls: 0.01137 loss_rpn_loc: 0.002898 loss_D_img_s: 1.463e-05 time: 0.5797 last_time: 0.6182 data_time: 0.0181 last_data_time: 0.0443 lr: 0.01 max_mem: 8826M +[03/21 00:55:51] d2.utils.events INFO: eta: 6:56:42 iter: 7099 total_loss: 0.08049 loss_cls: 0.03314 loss_box_reg: 0.03958 loss_rpn_cls: 0.01217 loss_rpn_loc: 0.003092 loss_D_img_s: 1.317e-05 time: 0.5797 last_time: 0.6050 data_time: 0.0185 last_data_time: 0.0129 lr: 0.01 max_mem: 8826M +[03/21 00:56:03] d2.utils.events INFO: eta: 6:56:36 iter: 7119 total_loss: 0.0852 loss_cls: 0.0348 loss_box_reg: 0.04076 loss_rpn_cls: 0.01128 loss_rpn_loc: 0.002614 loss_D_img_s: 1.32e-05 time: 0.5797 last_time: 0.5492 data_time: 0.0283 last_data_time: 0.0282 lr: 0.01 max_mem: 8826M +[03/21 00:56:14] d2.utils.events INFO: eta: 6:55:55 iter: 7139 total_loss: 0.07592 loss_cls: 0.02733 loss_box_reg: 0.03434 loss_rpn_cls: 0.01097 loss_rpn_loc: 0.002456 loss_D_img_s: 1.342e-05 time: 0.5797 last_time: 0.5494 data_time: 0.0161 last_data_time: 0.0095 lr: 0.01 max_mem: 8826M +[03/21 00:56:26] d2.utils.events INFO: eta: 6:55:33 iter: 7159 total_loss: 0.08732 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INFO: eta: 6:54:05 iter: 7439 total_loss: 0.07795 loss_cls: 0.02332 loss_box_reg: 0.0401 loss_rpn_cls: 0.01107 loss_rpn_loc: 0.002938 loss_D_img_s: 1.274e-05 time: 0.5801 last_time: 0.5324 data_time: 0.0156 last_data_time: 0.0242 lr: 0.01 max_mem: 8826M +[03/21 00:59:23] d2.utils.events INFO: eta: 6:53:57 iter: 7459 total_loss: 0.08633 loss_cls: 0.02937 loss_box_reg: 0.03706 loss_rpn_cls: 0.00911 loss_rpn_loc: 0.002867 loss_D_img_s: 1.219e-05 time: 0.5801 last_time: 0.6313 data_time: 0.0193 last_data_time: 0.0128 lr: 0.01 max_mem: 8826M +[03/21 00:59:34] d2.utils.events INFO: eta: 6:53:39 iter: 7479 total_loss: 0.07561 loss_cls: 0.02625 loss_box_reg: 0.04054 loss_rpn_cls: 0.009842 loss_rpn_loc: 0.002828 loss_D_img_s: 1.278e-05 time: 0.5800 last_time: 0.5425 data_time: 0.0149 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 00:59:46] d2.utils.events INFO: eta: 6:53:19 iter: 7499 total_loss: 0.07073 loss_cls: 0.02683 loss_box_reg: 0.03366 loss_rpn_cls: 0.01125 loss_rpn_loc: 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+[03/21 01:00:32] d2.utils.events INFO: eta: 6:52:07 iter: 7579 total_loss: 0.08853 loss_cls: 0.02605 loss_box_reg: 0.04618 loss_rpn_cls: 0.01149 loss_rpn_loc: 0.002533 loss_D_img_s: 1.17e-05 time: 0.5800 last_time: 0.6175 data_time: 0.0219 last_data_time: 0.0093 lr: 0.01 max_mem: 8826M +[03/21 01:00:44] d2.utils.events INFO: eta: 6:52:11 iter: 7599 total_loss: 0.07356 loss_cls: 0.02545 loss_box_reg: 0.03408 loss_rpn_cls: 0.009517 loss_rpn_loc: 0.00234 loss_D_img_s: 1.297e-05 time: 0.5801 last_time: 0.5854 data_time: 0.0218 last_data_time: 0.0161 lr: 0.01 max_mem: 8826M +[03/21 01:00:56] d2.utils.events INFO: eta: 6:51:43 iter: 7619 total_loss: 0.07118 loss_cls: 0.02489 loss_box_reg: 0.03601 loss_rpn_cls: 0.009562 loss_rpn_loc: 0.002277 loss_D_img_s: 1.262e-05 time: 0.5801 last_time: 0.5510 data_time: 0.0117 last_data_time: 0.0184 lr: 0.01 max_mem: 8826M +[03/21 01:01:07] d2.utils.events INFO: eta: 6:51:26 iter: 7639 total_loss: 0.06382 loss_cls: 0.01967 loss_box_reg: 0.02842 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last_time: 0.6033 data_time: 0.0201 last_data_time: 0.0201 lr: 0.01 max_mem: 8826M +[03/21 01:04:40] d2.data.common INFO: Serializing the dataset using: +[03/21 01:04:40] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:04:40] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:04:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:04:40] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:04:42] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 01:06:46] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.555730 (0.126069 s / iter per device, on 1 devices) +[03/21 01:06:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.070898 s / iter per device, on 1 devices) +[03/21 01:06:46] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:06:46] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:06:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:06:46] d2.evaluation.testing INFO: copypaste: 1.1151,4.2162,0.4715 +[03/21 01:06:46] d2.data.common INFO: Serializing the dataset using: +[03/21 01:06:46] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:06:46] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:06:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:06:46] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:06:50] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:01 +[03/21 01:08:50] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.684370 (0.124174 s / iter per device, on 1 devices) +[03/21 01:08:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071813 s / iter per device, on 1 devices) +[03/21 01:08:51] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:08:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:08:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:08:51] d2.evaluation.testing INFO: copypaste: 0.9295,3.2876,0.0175 +[03/21 01:08:51] d2.utils.events INFO: eta: 6:48:39 iter: 7999 total_loss: 0.04704 loss_cls: 0.01901 loss_box_reg: 0.02316 loss_rpn_cls: 0.008054 loss_rpn_loc: 0.002121 loss_D_img_s: 1.055e-05 time: 0.5805 last_time: 0.5995 data_time: 0.0127 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/21 01:09:02] d2.utils.events INFO: eta: 6:48:44 iter: 8019 total_loss: 0.08105 loss_cls: 0.03099 loss_box_reg: 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last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:09:47] d2.utils.events INFO: eta: 6:48:13 iter: 8099 total_loss: 0.06882 loss_cls: 0.02573 loss_box_reg: 0.03044 loss_rpn_cls: 0.01296 loss_rpn_loc: 0.00271 loss_D_img_s: 1.079e-05 time: 0.5802 last_time: 0.6248 data_time: 0.0187 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 01:09:58] d2.utils.events INFO: eta: 6:47:47 iter: 8119 total_loss: 0.07517 loss_cls: 0.0242 loss_box_reg: 0.03606 loss_rpn_cls: 0.01031 loss_rpn_loc: 0.00284 loss_D_img_s: 1.009e-05 time: 0.5801 last_time: 0.5370 data_time: 0.0220 last_data_time: 0.0130 lr: 0.01 max_mem: 8826M +[03/21 01:10:09] d2.utils.events INFO: eta: 6:47:35 iter: 8139 total_loss: 0.08457 loss_cls: 0.0296 loss_box_reg: 0.03783 loss_rpn_cls: 0.01101 loss_rpn_loc: 0.002462 loss_D_img_s: 9.958e-06 time: 0.5801 last_time: 0.5236 data_time: 0.0178 last_data_time: 0.0140 lr: 0.01 max_mem: 8826M +[03/21 01:10:21] d2.utils.events INFO: eta: 6:47:24 iter: 8159 total_loss: 0.07869 loss_cls: 0.02678 loss_box_reg: 0.03886 loss_rpn_cls: 0.008055 loss_rpn_loc: 0.002215 loss_D_img_s: 1.099e-05 time: 0.5801 last_time: 0.6054 data_time: 0.0200 last_data_time: 0.0141 lr: 0.01 max_mem: 8826M +[03/21 01:10:33] d2.utils.events INFO: eta: 6:47:15 iter: 8179 total_loss: 0.06623 loss_cls: 0.01969 loss_box_reg: 0.03226 loss_rpn_cls: 0.009076 loss_rpn_loc: 0.002248 loss_D_img_s: 1.101e-05 time: 0.5802 last_time: 0.5691 data_time: 0.0179 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 01:10:45] d2.utils.events INFO: eta: 6:47:09 iter: 8199 total_loss: 0.05486 loss_cls: 0.01559 loss_box_reg: 0.03123 loss_rpn_cls: 0.008812 loss_rpn_loc: 0.002116 loss_D_img_s: 1.101e-05 time: 0.5802 last_time: 0.5783 data_time: 0.0184 last_data_time: 0.0237 lr: 0.01 max_mem: 8826M +[03/21 01:10:56] d2.utils.events INFO: eta: 6:46:51 iter: 8219 total_loss: 0.07778 loss_cls: 0.02584 loss_box_reg: 0.04177 loss_rpn_cls: 0.009226 loss_rpn_loc: 0.002157 loss_D_img_s: 1.033e-05 time: 0.5802 last_time: 0.6121 data_time: 0.0187 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 01:11:08] d2.utils.events INFO: eta: 6:46:41 iter: 8239 total_loss: 0.0586 loss_cls: 0.02104 loss_box_reg: 0.02799 loss_rpn_cls: 0.00767 loss_rpn_loc: 0.002593 loss_D_img_s: 9.766e-06 time: 0.5802 last_time: 0.5955 data_time: 0.0140 last_data_time: 0.0325 lr: 0.01 max_mem: 8826M +[03/21 01:11:20] d2.utils.events INFO: eta: 6:46:34 iter: 8259 total_loss: 0.0705 loss_cls: 0.02302 loss_box_reg: 0.03798 loss_rpn_cls: 0.00972 loss_rpn_loc: 0.002529 loss_D_img_s: 1.091e-05 time: 0.5803 last_time: 0.5885 data_time: 0.0177 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/21 01:11:32] d2.utils.events INFO: eta: 6:46:18 iter: 8279 total_loss: 0.07768 loss_cls: 0.02774 loss_box_reg: 0.04505 loss_rpn_cls: 0.01103 loss_rpn_loc: 0.002675 loss_D_img_s: 1.004e-05 time: 0.5803 last_time: 0.6171 data_time: 0.0146 last_data_time: 0.0235 lr: 0.01 max_mem: 8826M +[03/21 01:11:44] d2.utils.events INFO: eta: 6:46:19 iter: 8299 total_loss: 0.05946 loss_cls: 0.01764 loss_box_reg: 0.03607 loss_rpn_cls: 0.007582 loss_rpn_loc: 0.002484 loss_D_img_s: 9.311e-06 time: 0.5803 last_time: 0.5944 data_time: 0.0161 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 01:11:56] d2.utils.events INFO: eta: 6:46:20 iter: 8319 total_loss: 0.0675 loss_cls: 0.02529 loss_box_reg: 0.03384 loss_rpn_cls: 0.009839 loss_rpn_loc: 0.002672 loss_D_img_s: 9.914e-06 time: 0.5804 last_time: 0.6825 data_time: 0.0219 last_data_time: 0.0104 lr: 0.01 max_mem: 8826M +[03/21 01:12:08] d2.utils.events INFO: eta: 6:46:08 iter: 8339 total_loss: 0.07061 loss_cls: 0.02533 loss_box_reg: 0.03217 loss_rpn_cls: 0.0103 loss_rpn_loc: 0.002067 loss_D_img_s: 1.052e-05 time: 0.5804 last_time: 0.5752 data_time: 0.0181 last_data_time: 0.0129 lr: 0.01 max_mem: 8826M +[03/21 01:12:20] d2.utils.events INFO: eta: 6:46:01 iter: 8359 total_loss: 0.07076 loss_cls: 0.02169 loss_box_reg: 0.03599 loss_rpn_cls: 0.01067 loss_rpn_loc: 0.002411 loss_D_img_s: 9.765e-06 time: 0.5805 last_time: 0.6245 data_time: 0.0220 last_data_time: 0.0267 lr: 0.01 max_mem: 8826M +[03/21 01:12:32] d2.utils.events INFO: eta: 6:45:49 iter: 8379 total_loss: 0.05856 loss_cls: 0.01681 loss_box_reg: 0.03095 loss_rpn_cls: 0.008061 loss_rpn_loc: 0.002814 loss_D_img_s: 9.586e-06 time: 0.5805 last_time: 0.6016 data_time: 0.0213 last_data_time: 0.0085 lr: 0.01 max_mem: 8826M +[03/21 01:12:44] d2.utils.events INFO: eta: 6:45:51 iter: 8399 total_loss: 0.07845 loss_cls: 0.02465 loss_box_reg: 0.03533 loss_rpn_cls: 0.008916 loss_rpn_loc: 0.002421 loss_D_img_s: 9.646e-06 time: 0.5806 last_time: 0.6195 data_time: 0.0185 last_data_time: 0.0199 lr: 0.01 max_mem: 8826M +[03/21 01:12:57] d2.utils.events INFO: eta: 6:45:45 iter: 8419 total_loss: 0.07909 loss_cls: 0.02002 loss_box_reg: 0.04134 loss_rpn_cls: 0.008068 loss_rpn_loc: 0.002199 loss_D_img_s: 9.755e-06 time: 0.5807 last_time: 0.6355 data_time: 0.0155 last_data_time: 0.0223 lr: 0.01 max_mem: 8826M +[03/21 01:13:08] d2.utils.events INFO: eta: 6:45:38 iter: 8439 total_loss: 0.07027 loss_cls: 0.02242 loss_box_reg: 0.03687 loss_rpn_cls: 0.009179 loss_rpn_loc: 0.002788 loss_D_img_s: 9.965e-06 time: 0.5807 last_time: 0.6086 data_time: 0.0134 last_data_time: 0.0133 lr: 0.01 max_mem: 8826M +[03/21 01:13:20] d2.utils.events INFO: eta: 6:45:18 iter: 8459 total_loss: 0.07997 loss_cls: 0.02322 loss_box_reg: 0.03976 loss_rpn_cls: 0.008965 loss_rpn_loc: 0.002565 loss_D_img_s: 1.089e-05 time: 0.5806 last_time: 0.5551 data_time: 0.0143 last_data_time: 0.0100 lr: 0.01 max_mem: 8826M +[03/21 01:13:32] d2.utils.events INFO: eta: 6:45:32 iter: 8479 total_loss: 0.0664 loss_cls: 0.02195 loss_box_reg: 0.03749 loss_rpn_cls: 0.009024 loss_rpn_loc: 0.002146 loss_D_img_s: 1.018e-05 time: 0.5807 last_time: 0.6195 data_time: 0.0226 last_data_time: 0.0175 lr: 0.01 max_mem: 8826M +[03/21 01:13:44] d2.utils.events INFO: eta: 6:45:40 iter: 8499 total_loss: 0.07985 loss_cls: 0.02544 loss_box_reg: 0.03976 loss_rpn_cls: 0.00993 loss_rpn_loc: 0.002791 loss_D_img_s: 1.012e-05 time: 0.5807 last_time: 0.6280 data_time: 0.0138 last_data_time: 0.0119 lr: 0.01 max_mem: 8826M +[03/21 01:13:56] d2.utils.events INFO: eta: 6:45:38 iter: 8519 total_loss: 0.08468 loss_cls: 0.02724 loss_box_reg: 0.04591 loss_rpn_cls: 0.01091 loss_rpn_loc: 0.003335 loss_D_img_s: 1.024e-05 time: 0.5808 last_time: 0.6313 data_time: 0.0243 last_data_time: 0.0235 lr: 0.01 max_mem: 8826M +[03/21 01:14:08] d2.utils.events INFO: eta: 6:45:41 iter: 8539 total_loss: 0.07848 loss_cls: 0.02423 loss_box_reg: 0.04134 loss_rpn_cls: 0.01152 loss_rpn_loc: 0.002405 loss_D_img_s: 1.07e-05 time: 0.5808 last_time: 0.5796 data_time: 0.0197 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 01:14:20] d2.utils.events INFO: eta: 6:45:54 iter: 8559 total_loss: 0.0798 loss_cls: 0.02474 loss_box_reg: 0.04945 loss_rpn_cls: 0.009098 loss_rpn_loc: 0.002649 loss_D_img_s: 1.108e-05 time: 0.5809 last_time: 0.5922 data_time: 0.0160 last_data_time: 0.0118 lr: 0.01 max_mem: 8826M +[03/21 01:14:31] d2.utils.events INFO: eta: 6:45:39 iter: 8579 total_loss: 0.08342 loss_cls: 0.03131 loss_box_reg: 0.04116 loss_rpn_cls: 0.01111 loss_rpn_loc: 0.003301 loss_D_img_s: 1.038e-05 time: 0.5809 last_time: 0.5705 data_time: 0.0191 last_data_time: 0.0118 lr: 0.01 max_mem: 8826M +[03/21 01:14:44] d2.utils.events INFO: eta: 6:45:17 iter: 8599 total_loss: 0.09126 loss_cls: 0.02978 loss_box_reg: 0.04249 loss_rpn_cls: 0.0102 loss_rpn_loc: 0.00303 loss_D_img_s: 9.461e-06 time: 0.5809 last_time: 0.6852 data_time: 0.0180 last_data_time: 0.0162 lr: 0.01 max_mem: 8826M +[03/21 01:14:56] d2.utils.events INFO: eta: 6:45:14 iter: 8619 total_loss: 0.07682 loss_cls: 0.02284 loss_box_reg: 0.04255 loss_rpn_cls: 0.01279 loss_rpn_loc: 0.002732 loss_D_img_s: 9.877e-06 time: 0.5810 last_time: 0.5552 data_time: 0.0181 last_data_time: 0.0086 lr: 0.01 max_mem: 8826M +[03/21 01:15:07] d2.utils.events INFO: eta: 6:44:53 iter: 8639 total_loss: 0.0738 loss_cls: 0.02132 loss_box_reg: 0.04513 loss_rpn_cls: 0.009374 loss_rpn_loc: 0.002249 loss_D_img_s: 1.03e-05 time: 0.5810 last_time: 0.5790 data_time: 0.0198 last_data_time: 0.0120 lr: 0.01 max_mem: 8826M +[03/21 01:15:19] d2.utils.events INFO: eta: 6:45:03 iter: 8659 total_loss: 0.08173 loss_cls: 0.02671 loss_box_reg: 0.04187 loss_rpn_cls: 0.008641 loss_rpn_loc: 0.002004 loss_D_img_s: 9.481e-06 time: 0.5810 last_time: 0.5634 data_time: 0.0162 last_data_time: 0.0122 lr: 0.01 max_mem: 8826M +[03/21 01:15:31] d2.utils.events INFO: eta: 6:44:40 iter: 8679 total_loss: 0.07883 loss_cls: 0.02738 loss_box_reg: 0.04592 loss_rpn_cls: 0.00802 loss_rpn_loc: 0.002063 loss_D_img_s: 8.674e-06 time: 0.5810 last_time: 0.5951 data_time: 0.0120 last_data_time: 0.0106 lr: 0.01 max_mem: 8826M +[03/21 01:15:43] d2.utils.events INFO: eta: 6:44:37 iter: 8699 total_loss: 0.07614 loss_cls: 0.02257 loss_box_reg: 0.04393 loss_rpn_cls: 0.008451 loss_rpn_loc: 0.002293 loss_D_img_s: 9.651e-06 time: 0.5811 last_time: 0.6096 data_time: 0.0272 last_data_time: 0.0286 lr: 0.01 max_mem: 8826M +[03/21 01:15:54] d2.utils.events INFO: eta: 6:44:03 iter: 8719 total_loss: 0.07837 loss_cls: 0.02311 loss_box_reg: 0.04008 loss_rpn_cls: 0.00686 loss_rpn_loc: 0.002509 loss_D_img_s: 9.676e-06 time: 0.5811 last_time: 0.6062 data_time: 0.0133 last_data_time: 0.0107 lr: 0.01 max_mem: 8826M +[03/21 01:16:06] d2.utils.events INFO: eta: 6:43:59 iter: 8739 total_loss: 0.0667 loss_cls: 0.0208 loss_box_reg: 0.03409 loss_rpn_cls: 0.01069 loss_rpn_loc: 0.002988 loss_D_img_s: 9.54e-06 time: 0.5811 last_time: 0.5897 data_time: 0.0175 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 01:16:18] d2.utils.events INFO: eta: 6:44:02 iter: 8759 total_loss: 0.07668 loss_cls: 0.02549 loss_box_reg: 0.04169 loss_rpn_cls: 0.009364 loss_rpn_loc: 0.002931 loss_D_img_s: 1.02e-05 time: 0.5811 last_time: 0.6022 data_time: 0.0203 last_data_time: 0.0275 lr: 0.01 max_mem: 8826M +[03/21 01:16:30] d2.utils.events INFO: eta: 6:43:41 iter: 8779 total_loss: 0.0732 loss_cls: 0.02472 loss_box_reg: 0.03948 loss_rpn_cls: 0.007534 loss_rpn_loc: 0.002555 loss_D_img_s: 9.382e-06 time: 0.5811 last_time: 0.5770 data_time: 0.0146 last_data_time: 0.0103 lr: 0.01 max_mem: 8826M +[03/21 01:16:41] d2.utils.events INFO: eta: 6:43:13 iter: 8799 total_loss: 0.08567 loss_cls: 0.02758 loss_box_reg: 0.04862 loss_rpn_cls: 0.008826 loss_rpn_loc: 0.002833 loss_D_img_s: 9.37e-06 time: 0.5811 last_time: 0.6068 data_time: 0.0221 last_data_time: 0.0144 lr: 0.01 max_mem: 8826M +[03/21 01:16:53] d2.utils.events INFO: eta: 6:43:07 iter: 8819 total_loss: 0.08371 loss_cls: 0.0249 loss_box_reg: 0.04597 loss_rpn_cls: 0.006416 loss_rpn_loc: 0.002097 loss_D_img_s: 9.147e-06 time: 0.5811 last_time: 0.5453 data_time: 0.0136 last_data_time: 0.0365 lr: 0.01 max_mem: 8826M +[03/21 01:17:05] d2.utils.events INFO: eta: 6:42:54 iter: 8839 total_loss: 0.07547 loss_cls: 0.0201 loss_box_reg: 0.04509 loss_rpn_cls: 0.006907 loss_rpn_loc: 0.002932 loss_D_img_s: 9.369e-06 time: 0.5812 last_time: 0.5769 data_time: 0.0199 last_data_time: 0.0331 lr: 0.01 max_mem: 8826M +[03/21 01:17:17] d2.utils.events INFO: eta: 6:42:42 iter: 8859 total_loss: 0.06299 loss_cls: 0.01832 loss_box_reg: 0.03427 loss_rpn_cls: 0.007355 loss_rpn_loc: 0.002147 loss_D_img_s: 9.207e-06 time: 0.5812 last_time: 0.5774 data_time: 0.0181 last_data_time: 0.0314 lr: 0.01 max_mem: 8826M +[03/21 01:17:28] d2.utils.events INFO: eta: 6:42:09 iter: 8879 total_loss: 0.09614 loss_cls: 0.0329 loss_box_reg: 0.0468 loss_rpn_cls: 0.01061 loss_rpn_loc: 0.003092 loss_D_img_s: 9.373e-06 time: 0.5811 last_time: 0.5269 data_time: 0.0212 last_data_time: 0.0230 lr: 0.01 max_mem: 8826M +[03/21 01:17:40] d2.utils.events INFO: eta: 6:41:38 iter: 8899 total_loss: 0.07098 loss_cls: 0.02393 loss_box_reg: 0.03715 loss_rpn_cls: 0.008662 loss_rpn_loc: 0.002146 loss_D_img_s: 9.882e-06 time: 0.5811 last_time: 0.6387 data_time: 0.0166 last_data_time: 0.0179 lr: 0.01 max_mem: 8826M +[03/21 01:17:51] d2.utils.events INFO: eta: 6:41:16 iter: 8919 total_loss: 0.07084 loss_cls: 0.01931 loss_box_reg: 0.04307 loss_rpn_cls: 0.006622 loss_rpn_loc: 0.002236 loss_D_img_s: 8.752e-06 time: 0.5811 last_time: 0.6634 data_time: 0.0248 last_data_time: 0.0398 lr: 0.01 max_mem: 8826M +[03/21 01:18:03] d2.utils.events INFO: eta: 6:41:03 iter: 8939 total_loss: 0.07297 loss_cls: 0.02395 loss_box_reg: 0.03525 loss_rpn_cls: 0.008577 loss_rpn_loc: 0.002987 loss_D_img_s: 9.279e-06 time: 0.5811 last_time: 0.5844 data_time: 0.0214 last_data_time: 0.0113 lr: 0.01 max_mem: 8826M +[03/21 01:18:15] d2.utils.events INFO: eta: 6:41:03 iter: 8959 total_loss: 0.0865 loss_cls: 0.02407 loss_box_reg: 0.03626 loss_rpn_cls: 0.008256 loss_rpn_loc: 0.002586 loss_D_img_s: 9.143e-06 time: 0.5811 last_time: 0.6964 data_time: 0.0173 last_data_time: 0.0086 lr: 0.01 max_mem: 8826M +[03/21 01:18:26] d2.utils.events INFO: eta: 6:40:47 iter: 8979 total_loss: 0.07486 loss_cls: 0.02478 loss_box_reg: 0.0297 loss_rpn_cls: 0.01315 loss_rpn_loc: 0.003623 loss_D_img_s: 9.402e-06 time: 0.5811 last_time: 0.5246 data_time: 0.0238 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 01:18:38] d2.data.common INFO: Serializing the dataset using: +[03/21 01:18:38] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:18:38] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:18:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:18:38] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:18:41] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 01:20:44] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.645845 (0.126160 s / iter per device, on 1 devices) +[03/21 01:20:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.072883 s / iter per device, on 1 devices) +[03/21 01:20:44] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:20:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:20:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:20:44] d2.evaluation.testing INFO: copypaste: 0.3449,2.0657,0.0655 +[03/21 01:20:45] d2.data.common INFO: Serializing the dataset using: +[03/21 01:20:45] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:20:45] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:20:45] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:20:45] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:20:47] d2.evaluation.evaluator INFO: Inference done 16/993. 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ETA=0:00:03 +[03/21 01:22:49] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.973005 (0.124467 s / iter per device, on 1 devices) +[03/21 01:22:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072553 s / iter per device, on 1 devices) +[03/21 01:22:49] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:22:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:22:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:22:49] d2.evaluation.testing INFO: copypaste: 0.8148,2.9379,0.0128 +[03/21 01:22:49] d2.utils.events INFO: eta: 6:40:17 iter: 8999 total_loss: 0.07291 loss_cls: 0.02086 loss_box_reg: 0.04159 loss_rpn_cls: 0.006511 loss_rpn_loc: 0.002336 loss_D_img_s: 9.588e-06 time: 0.5811 last_time: 0.5456 data_time: 0.0188 last_data_time: 0.0157 lr: 0.01 max_mem: 8826M +[03/21 01:23:00] d2.utils.events INFO: eta: 6:39:47 iter: 9019 total_loss: 0.09309 loss_cls: 0.03004 loss_box_reg: 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last_data_time: 0.0217 lr: 0.01 max_mem: 8826M +[03/21 01:29:47] d2.utils.events INFO: eta: 6:29:19 iter: 9719 total_loss: 0.08496 loss_cls: 0.02599 loss_box_reg: 0.04168 loss_rpn_cls: 0.008413 loss_rpn_loc: 0.003003 loss_D_img_s: 9.045e-06 time: 0.5810 last_time: 0.5259 data_time: 0.0265 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 01:29:59] d2.utils.events INFO: eta: 6:29:08 iter: 9739 total_loss: 0.06583 loss_cls: 0.02256 loss_box_reg: 0.02774 loss_rpn_cls: 0.008616 loss_rpn_loc: 0.002105 loss_D_img_s: 9.013e-06 time: 0.5810 last_time: 0.5567 data_time: 0.0163 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/21 01:30:11] d2.utils.events INFO: eta: 6:29:19 iter: 9759 total_loss: 0.06548 loss_cls: 0.02151 loss_box_reg: 0.0352 loss_rpn_cls: 0.006541 loss_rpn_loc: 0.002638 loss_D_img_s: 8.428e-06 time: 0.5811 last_time: 0.6214 data_time: 0.0147 last_data_time: 0.0210 lr: 0.01 max_mem: 8826M +[03/21 01:30:23] d2.utils.events INFO: eta: 6:29:25 iter: 9779 total_loss: 0.06628 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last_time: 0.6061 data_time: 0.0125 last_data_time: 0.0093 lr: 0.01 max_mem: 8826M +[03/21 01:31:09] d2.utils.events INFO: eta: 6:27:32 iter: 9859 total_loss: 0.06927 loss_cls: 0.02346 loss_box_reg: 0.03831 loss_rpn_cls: 0.00778 loss_rpn_loc: 0.002442 loss_D_img_s: 7.276e-06 time: 0.5810 last_time: 0.5421 data_time: 0.0167 last_data_time: 0.0255 lr: 0.01 max_mem: 8826M +[03/21 01:31:20] d2.utils.events INFO: eta: 6:27:20 iter: 9879 total_loss: 0.07695 loss_cls: 0.0215 loss_box_reg: 0.04459 loss_rpn_cls: 0.009464 loss_rpn_loc: 0.002216 loss_D_img_s: 7.536e-06 time: 0.5810 last_time: 0.6200 data_time: 0.0234 last_data_time: 0.0247 lr: 0.01 max_mem: 8826M +[03/21 01:31:32] d2.utils.events INFO: eta: 6:27:30 iter: 9899 total_loss: 0.06908 loss_cls: 0.02029 loss_box_reg: 0.04002 loss_rpn_cls: 0.005577 loss_rpn_loc: 0.0021 loss_D_img_s: 8.263e-06 time: 0.5810 last_time: 0.6101 data_time: 0.0212 last_data_time: 0.0120 lr: 0.01 max_mem: 8826M +[03/21 01:31:44] d2.utils.events INFO: eta: 6:27:22 iter: 9919 total_loss: 0.0804 loss_cls: 0.02261 loss_box_reg: 0.04352 loss_rpn_cls: 0.008899 loss_rpn_loc: 0.003086 loss_D_img_s: 8.03e-06 time: 0.5811 last_time: 0.5801 data_time: 0.0153 last_data_time: 0.0149 lr: 0.01 max_mem: 8826M +[03/21 01:31:56] d2.utils.events INFO: eta: 6:27:10 iter: 9939 total_loss: 0.07571 loss_cls: 0.02293 loss_box_reg: 0.04132 loss_rpn_cls: 0.009496 loss_rpn_loc: 0.00238 loss_D_img_s: 8.788e-06 time: 0.5811 last_time: 0.5675 data_time: 0.0202 last_data_time: 0.0244 lr: 0.01 max_mem: 8826M +[03/21 01:32:07] d2.utils.events INFO: eta: 6:26:56 iter: 9959 total_loss: 0.06768 loss_cls: 0.02307 loss_box_reg: 0.03312 loss_rpn_cls: 0.008599 loss_rpn_loc: 0.002454 loss_D_img_s: 8.659e-06 time: 0.5811 last_time: 0.6213 data_time: 0.0154 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 01:32:19] d2.utils.events INFO: eta: 6:26:35 iter: 9979 total_loss: 0.07434 loss_cls: 0.02185 loss_box_reg: 0.03632 loss_rpn_cls: 0.009351 loss_rpn_loc: 0.002385 loss_D_img_s: 8.095e-06 time: 0.5811 last_time: 0.5653 data_time: 0.0145 last_data_time: 0.0138 lr: 0.01 max_mem: 8826M +[03/21 01:32:31] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0009999.pth +[03/21 01:32:32] d2.data.common INFO: Serializing the dataset using: +[03/21 01:32:32] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:32:32] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:32:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:32:32] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:32:34] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 01:34:36] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.489907 (0.123978 s / iter per device, on 1 devices) +[03/21 01:34:36] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072091 s / iter per device, on 1 devices) +[03/21 01:34:36] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:34:36] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:34:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:34:36] d2.evaluation.testing INFO: copypaste: 0.8381,3.0719,0.3815 +[03/21 01:34:36] d2.data.common INFO: Serializing the dataset using: +[03/21 01:34:36] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:34:36] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:34:36] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:34:36] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:34:39] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:03 +[03/21 01:36:44] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.276704 (0.127810 s / iter per device, on 1 devices) +[03/21 01:36:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073029 s / iter per device, on 1 devices) +[03/21 01:36:44] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:36:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:36:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:36:44] d2.evaluation.testing INFO: copypaste: 0.7492,2.6140,0.0637 +[03/21 01:36:44] d2.utils.events INFO: eta: 6:26:23 iter: 9999 total_loss: 0.07296 loss_cls: 0.02375 loss_box_reg: 0.03824 loss_rpn_cls: 0.008521 loss_rpn_loc: 0.002369 loss_D_img_s: 8.177e-06 time: 0.5811 last_time: 0.5445 data_time: 0.0181 last_data_time: 0.0099 lr: 0.01 max_mem: 8826M +[03/21 01:36:56] d2.utils.events INFO: eta: 6:26:25 iter: 10019 total_loss: 0.07492 loss_cls: 0.0269 loss_box_reg: 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last_data_time: 0.0279 lr: 0.01 max_mem: 8826M +[03/21 01:37:40] d2.utils.events INFO: eta: 6:25:37 iter: 10099 total_loss: 0.07218 loss_cls: 0.02343 loss_box_reg: 0.03413 loss_rpn_cls: 0.01107 loss_rpn_loc: 0.002049 loss_D_img_s: 8.424e-06 time: 0.5808 last_time: 0.4859 data_time: 0.0174 last_data_time: 0.0090 lr: 0.01 max_mem: 8826M +[03/21 01:37:52] d2.utils.events INFO: eta: 6:25:27 iter: 10119 total_loss: 0.07965 loss_cls: 0.02402 loss_box_reg: 0.0398 loss_rpn_cls: 0.009719 loss_rpn_loc: 0.001926 loss_D_img_s: 8.496e-06 time: 0.5808 last_time: 0.5947 data_time: 0.0169 last_data_time: 0.0283 lr: 0.01 max_mem: 8826M +[03/21 01:38:03] d2.utils.events INFO: eta: 6:25:13 iter: 10139 total_loss: 0.06512 loss_cls: 0.01867 loss_box_reg: 0.03261 loss_rpn_cls: 0.006512 loss_rpn_loc: 0.002045 loss_D_img_s: 8.31e-06 time: 0.5808 last_time: 0.6020 data_time: 0.0168 last_data_time: 0.0160 lr: 0.01 max_mem: 8826M +[03/21 01:38:15] d2.utils.events INFO: eta: 6:24:44 iter: 10159 total_loss: 0.0861 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d2.utils.events INFO: eta: 6:17:24 iter: 10919 total_loss: 0.07743 loss_cls: 0.01854 loss_box_reg: 0.04262 loss_rpn_cls: 0.008182 loss_rpn_loc: 0.002058 loss_D_img_s: 6.561e-06 time: 0.5810 last_time: 0.5995 data_time: 0.0256 last_data_time: 0.0251 lr: 0.01 max_mem: 8826M +[03/21 01:45:50] d2.utils.events INFO: eta: 6:17:17 iter: 10939 total_loss: 0.06794 loss_cls: 0.01943 loss_box_reg: 0.03874 loss_rpn_cls: 0.006082 loss_rpn_loc: 0.002174 loss_D_img_s: 6.62e-06 time: 0.5810 last_time: 0.5832 data_time: 0.0134 last_data_time: 0.0317 lr: 0.01 max_mem: 8826M +[03/21 01:46:03] d2.utils.events INFO: eta: 6:17:16 iter: 10959 total_loss: 0.07227 loss_cls: 0.02149 loss_box_reg: 0.04094 loss_rpn_cls: 0.007185 loss_rpn_loc: 0.002424 loss_D_img_s: 6.877e-06 time: 0.5810 last_time: 0.7374 data_time: 0.0173 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/21 01:46:14] d2.utils.events INFO: eta: 6:16:50 iter: 10979 total_loss: 0.0779 loss_cls: 0.02195 loss_box_reg: 0.04058 loss_rpn_cls: 0.008624 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ETA=0:00:04 +[03/21 01:48:31] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.974398 (0.125480 s / iter per device, on 1 devices) +[03/21 01:48:31] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072184 s / iter per device, on 1 devices) +[03/21 01:48:32] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:48:32] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:48:32] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:48:32] d2.evaluation.testing INFO: copypaste: 0.9620,4.5443,0.0029 +[03/21 01:48:32] d2.data.common INFO: Serializing the dataset using: +[03/21 01:48:32] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 01:48:32] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 01:48:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 01:48:32] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 01:48:34] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 01:50:37] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.360763 (0.125871 s / iter per device, on 1 devices) +[03/21 01:50:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072403 s / iter per device, on 1 devices) +[03/21 01:50:38] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 01:50:38] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 01:50:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 01:50:38] d2.evaluation.testing INFO: copypaste: 0.7417,2.5054,0.3999 +[03/21 01:50:38] d2.utils.events INFO: eta: 6:16:53 iter: 10999 total_loss: 0.07652 loss_cls: 0.02373 loss_box_reg: 0.0422 loss_rpn_cls: 0.007223 loss_rpn_loc: 0.002615 loss_D_img_s: 6.959e-06 time: 0.5810 last_time: 0.5926 data_time: 0.0140 last_data_time: 0.0221 lr: 0.01 max_mem: 8826M +[03/21 01:50:48] d2.utils.events INFO: eta: 6:16:25 iter: 11019 total_loss: 0.06418 loss_cls: 0.01854 loss_box_reg: 0.03669 loss_rpn_cls: 0.007169 loss_rpn_loc: 0.002089 loss_D_img_s: 6.477e-06 time: 0.5809 last_time: 0.5250 data_time: 0.0167 last_data_time: 0.0485 lr: 0.01 max_mem: 8826M +[03/21 01:50:59] d2.utils.events INFO: eta: 6:16:03 iter: 11039 total_loss: 0.09193 loss_cls: 0.02543 loss_box_reg: 0.04874 loss_rpn_cls: 0.00801 loss_rpn_loc: 0.003338 loss_D_img_s: 6.964e-06 time: 0.5809 last_time: 0.5536 data_time: 0.0151 last_data_time: 0.0097 lr: 0.01 max_mem: 8826M +[03/21 01:51:10] d2.utils.events INFO: eta: 6:15:50 iter: 11059 total_loss: 0.0673 loss_cls: 0.0191 loss_box_reg: 0.04118 loss_rpn_cls: 0.005944 loss_rpn_loc: 0.001965 loss_D_img_s: 6.604e-06 time: 0.5808 last_time: 0.5520 data_time: 0.0209 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/21 01:51:21] d2.utils.events INFO: eta: 6:15:38 iter: 11079 total_loss: 0.06817 loss_cls: 0.02159 loss_box_reg: 0.03606 loss_rpn_cls: 0.008447 loss_rpn_loc: 0.002518 loss_D_img_s: 6.673e-06 time: 0.5807 last_time: 0.5759 data_time: 0.0190 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 01:51:33] d2.utils.events INFO: eta: 6:15:39 iter: 11099 total_loss: 0.08205 loss_cls: 0.02641 loss_box_reg: 0.04451 loss_rpn_cls: 0.00888 loss_rpn_loc: 0.002688 loss_D_img_s: 7.532e-06 time: 0.5807 last_time: 0.5647 data_time: 0.0406 last_data_time: 0.0293 lr: 0.01 max_mem: 8826M +[03/21 01:51:44] d2.utils.events INFO: eta: 6:15:28 iter: 11119 total_loss: 0.07818 loss_cls: 0.02495 loss_box_reg: 0.03869 loss_rpn_cls: 0.006989 loss_rpn_loc: 0.001879 loss_D_img_s: 6.726e-06 time: 0.5807 last_time: 0.6137 data_time: 0.0195 last_data_time: 0.0406 lr: 0.01 max_mem: 8826M +[03/21 01:51:56] d2.utils.events INFO: eta: 6:15:19 iter: 11139 total_loss: 0.06347 loss_cls: 0.01965 loss_box_reg: 0.0324 loss_rpn_cls: 0.009025 loss_rpn_loc: 0.002392 loss_D_img_s: 7.082e-06 time: 0.5807 last_time: 0.5987 data_time: 0.0142 last_data_time: 0.0108 lr: 0.01 max_mem: 8826M +[03/21 01:52:07] d2.utils.events INFO: eta: 6:15:05 iter: 11159 total_loss: 0.07032 loss_cls: 0.02113 loss_box_reg: 0.03813 loss_rpn_cls: 0.007522 loss_rpn_loc: 0.002197 loss_D_img_s: 6.886e-06 time: 0.5807 last_time: 0.5808 data_time: 0.0124 last_data_time: 0.0112 lr: 0.01 max_mem: 8826M +[03/21 01:52:19] d2.utils.events INFO: eta: 6:14:42 iter: 11179 total_loss: 0.07824 loss_cls: 0.02051 loss_box_reg: 0.04681 loss_rpn_cls: 0.006528 loss_rpn_loc: 0.002413 loss_D_img_s: 7.059e-06 time: 0.5807 last_time: 0.5658 data_time: 0.0178 last_data_time: 0.0204 lr: 0.01 max_mem: 8826M +[03/21 01:52:31] d2.utils.events INFO: eta: 6:14:27 iter: 11199 total_loss: 0.07198 loss_cls: 0.01689 loss_box_reg: 0.03452 loss_rpn_cls: 0.005365 loss_rpn_loc: 0.002155 loss_D_img_s: 6.184e-06 time: 0.5807 last_time: 0.6385 data_time: 0.0208 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 01:52:42] d2.utils.events INFO: eta: 6:13:24 iter: 11219 total_loss: 0.07744 loss_cls: 0.02071 loss_box_reg: 0.0358 loss_rpn_cls: 0.01096 loss_rpn_loc: 0.003501 loss_D_img_s: 6.732e-06 time: 0.5807 last_time: 0.5913 data_time: 0.0196 last_data_time: 0.0236 lr: 0.01 max_mem: 8826M +[03/21 01:52:54] d2.utils.events INFO: eta: 6:13:02 iter: 11239 total_loss: 0.05892 loss_cls: 0.01842 loss_box_reg: 0.03236 loss_rpn_cls: 0.007442 loss_rpn_loc: 0.002025 loss_D_img_s: 6.744e-06 time: 0.5807 last_time: 0.4873 data_time: 0.0127 last_data_time: 0.0103 lr: 0.01 max_mem: 8826M +[03/21 01:53:05] d2.utils.events INFO: eta: 6:12:41 iter: 11259 total_loss: 0.05839 loss_cls: 0.0189 loss_box_reg: 0.03589 loss_rpn_cls: 0.006466 loss_rpn_loc: 0.001915 loss_D_img_s: 6.682e-06 time: 0.5806 last_time: 0.5641 data_time: 0.0250 last_data_time: 0.0253 lr: 0.01 max_mem: 8826M +[03/21 01:53:17] d2.utils.events INFO: eta: 6:12:43 iter: 11279 total_loss: 0.06903 loss_cls: 0.01929 loss_box_reg: 0.04117 loss_rpn_cls: 0.006988 loss_rpn_loc: 0.002068 loss_D_img_s: 6.789e-06 time: 0.5807 last_time: 0.6036 data_time: 0.0121 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:53:28] d2.utils.events INFO: eta: 6:12:44 iter: 11299 total_loss: 0.07913 loss_cls: 0.02178 loss_box_reg: 0.04042 loss_rpn_cls: 0.007991 loss_rpn_loc: 0.002513 loss_D_img_s: 6.729e-06 time: 0.5807 last_time: 0.5704 data_time: 0.0164 last_data_time: 0.0319 lr: 0.01 max_mem: 8826M +[03/21 01:53:40] d2.utils.events INFO: eta: 6:12:28 iter: 11319 total_loss: 0.07698 loss_cls: 0.01913 loss_box_reg: 0.03601 loss_rpn_cls: 0.006929 loss_rpn_loc: 0.001801 loss_D_img_s: 6.416e-06 time: 0.5807 last_time: 0.5400 data_time: 0.0277 last_data_time: 0.0545 lr: 0.01 max_mem: 8826M +[03/21 01:53:52] d2.utils.events INFO: eta: 6:12:14 iter: 11339 total_loss: 0.07456 loss_cls: 0.01746 loss_box_reg: 0.05114 loss_rpn_cls: 0.005037 loss_rpn_loc: 0.00256 loss_D_img_s: 6.486e-06 time: 0.5807 last_time: 0.6160 data_time: 0.0217 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:54:03] d2.utils.events INFO: eta: 6:11:57 iter: 11359 total_loss: 0.08656 loss_cls: 0.02515 loss_box_reg: 0.0474 loss_rpn_cls: 0.007889 loss_rpn_loc: 0.002429 loss_D_img_s: 6.659e-06 time: 0.5807 last_time: 0.6306 data_time: 0.0152 last_data_time: 0.0154 lr: 0.01 max_mem: 8826M +[03/21 01:54:15] d2.utils.events INFO: eta: 6:11:46 iter: 11379 total_loss: 0.0793 loss_cls: 0.02338 loss_box_reg: 0.03762 loss_rpn_cls: 0.009905 loss_rpn_loc: 0.003048 loss_D_img_s: 6.389e-06 time: 0.5807 last_time: 0.5865 data_time: 0.0128 last_data_time: 0.0161 lr: 0.01 max_mem: 8826M +[03/21 01:54:27] d2.utils.events INFO: eta: 6:11:38 iter: 11399 total_loss: 0.07184 loss_cls: 0.02089 loss_box_reg: 0.03798 loss_rpn_cls: 0.007701 loss_rpn_loc: 0.002211 loss_D_img_s: 6.39e-06 time: 0.5807 last_time: 0.5156 data_time: 0.0201 last_data_time: 0.0086 lr: 0.01 max_mem: 8826M +[03/21 01:54:39] d2.utils.events INFO: eta: 6:11:37 iter: 11419 total_loss: 0.07055 loss_cls: 0.02494 loss_box_reg: 0.03879 loss_rpn_cls: 0.01079 loss_rpn_loc: 0.00265 loss_D_img_s: 6.5e-06 time: 0.5807 last_time: 0.5768 data_time: 0.0215 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:54:51] d2.utils.events INFO: eta: 6:11:23 iter: 11439 total_loss: 0.07285 loss_cls: 0.02052 loss_box_reg: 0.04723 loss_rpn_cls: 0.006848 loss_rpn_loc: 0.001884 loss_D_img_s: 6.849e-06 time: 0.5807 last_time: 0.5850 data_time: 0.0134 last_data_time: 0.0128 lr: 0.01 max_mem: 8826M +[03/21 01:55:02] d2.utils.events INFO: eta: 6:11:04 iter: 11459 total_loss: 0.07779 loss_cls: 0.02382 loss_box_reg: 0.04364 loss_rpn_cls: 0.007409 loss_rpn_loc: 0.002342 loss_D_img_s: 7.027e-06 time: 0.5807 last_time: 0.5025 data_time: 0.0194 last_data_time: 0.0176 lr: 0.01 max_mem: 8826M +[03/21 01:55:14] d2.utils.events INFO: eta: 6:11:13 iter: 11479 total_loss: 0.07317 loss_cls: 0.01978 loss_box_reg: 0.03495 loss_rpn_cls: 0.008232 loss_rpn_loc: 0.002741 loss_D_img_s: 6.464e-06 time: 0.5807 last_time: 0.5358 data_time: 0.0166 last_data_time: 0.0178 lr: 0.01 max_mem: 8826M +[03/21 01:55:26] d2.utils.events INFO: eta: 6:11:27 iter: 11499 total_loss: 0.08895 loss_cls: 0.03063 loss_box_reg: 0.04507 loss_rpn_cls: 0.009423 loss_rpn_loc: 0.002639 loss_D_img_s: 6.707e-06 time: 0.5808 last_time: 0.5829 data_time: 0.0140 last_data_time: 0.0347 lr: 0.01 max_mem: 8826M +[03/21 01:55:38] d2.utils.events INFO: eta: 6:11:30 iter: 11519 total_loss: 0.0792 loss_cls: 0.021 loss_box_reg: 0.03564 loss_rpn_cls: 0.008841 loss_rpn_loc: 0.002603 loss_D_img_s: 6.431e-06 time: 0.5808 last_time: 0.5913 data_time: 0.0212 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 01:55:50] d2.utils.events INFO: eta: 6:10:29 iter: 11539 total_loss: 0.07697 loss_cls: 0.02371 loss_box_reg: 0.04194 loss_rpn_cls: 0.005266 loss_rpn_loc: 0.001923 loss_D_img_s: 6.742e-06 time: 0.5808 last_time: 0.5972 data_time: 0.0127 last_data_time: 0.0122 lr: 0.01 max_mem: 8826M +[03/21 01:56:02] d2.utils.events INFO: eta: 6:10:11 iter: 11559 total_loss: 0.07017 loss_cls: 0.01801 loss_box_reg: 0.0393 loss_rpn_cls: 0.008812 loss_rpn_loc: 0.002706 loss_D_img_s: 6.829e-06 time: 0.5808 last_time: 0.5859 data_time: 0.0182 last_data_time: 0.0082 lr: 0.01 max_mem: 8826M +[03/21 01:56:14] d2.utils.events INFO: eta: 6:10:06 iter: 11579 total_loss: 0.06567 loss_cls: 0.01898 loss_box_reg: 0.03263 loss_rpn_cls: 0.00659 loss_rpn_loc: 0.001803 loss_D_img_s: 6.53e-06 time: 0.5809 last_time: 0.7066 data_time: 0.0106 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 01:56:26] d2.utils.events INFO: eta: 6:10:04 iter: 11599 total_loss: 0.06929 loss_cls: 0.01861 loss_box_reg: 0.04001 loss_rpn_cls: 0.005885 loss_rpn_loc: 0.002118 loss_D_img_s: 6.435e-06 time: 0.5809 last_time: 0.5920 data_time: 0.0138 last_data_time: 0.0107 lr: 0.01 max_mem: 8826M +[03/21 01:56:38] d2.utils.events INFO: eta: 6:10:30 iter: 11619 total_loss: 0.07189 loss_cls: 0.02395 loss_box_reg: 0.03617 loss_rpn_cls: 0.007297 loss_rpn_loc: 0.002935 loss_D_img_s: 6.224e-06 time: 0.5809 last_time: 0.6038 data_time: 0.0193 last_data_time: 0.0471 lr: 0.01 max_mem: 8826M +[03/21 01:56:49] d2.utils.events INFO: eta: 6:10:26 iter: 11639 total_loss: 0.05984 loss_cls: 0.01819 loss_box_reg: 0.03344 loss_rpn_cls: 0.006146 loss_rpn_loc: 0.00241 loss_D_img_s: 6.87e-06 time: 0.5809 last_time: 0.6050 data_time: 0.0319 last_data_time: 0.0129 lr: 0.01 max_mem: 8826M +[03/21 01:57:01] d2.utils.events INFO: eta: 6:10:15 iter: 11659 total_loss: 0.0751 loss_cls: 0.01907 loss_box_reg: 0.04518 loss_rpn_cls: 0.005012 loss_rpn_loc: 0.002405 loss_D_img_s: 6.14e-06 time: 0.5809 last_time: 0.5575 data_time: 0.0200 last_data_time: 0.0338 lr: 0.01 max_mem: 8826M +[03/21 01:57:13] d2.utils.events INFO: eta: 6:09:26 iter: 11679 total_loss: 0.05898 loss_cls: 0.0171 loss_box_reg: 0.03542 loss_rpn_cls: 0.005351 loss_rpn_loc: 0.002135 loss_D_img_s: 6.493e-06 time: 0.5809 last_time: 0.5596 data_time: 0.0147 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 01:57:24] d2.utils.events INFO: eta: 6:09:22 iter: 11699 total_loss: 0.06859 loss_cls: 0.01659 loss_box_reg: 0.03825 loss_rpn_cls: 0.004427 loss_rpn_loc: 0.001694 loss_D_img_s: 6.301e-06 time: 0.5809 last_time: 0.5712 data_time: 0.0197 last_data_time: 0.0117 lr: 0.01 max_mem: 8826M +[03/21 01:57:35] d2.utils.events INFO: eta: 6:09:03 iter: 11719 total_loss: 0.06778 loss_cls: 0.01873 loss_box_reg: 0.04062 loss_rpn_cls: 0.008069 loss_rpn_loc: 0.001883 loss_D_img_s: 6.245e-06 time: 0.5809 last_time: 0.5599 data_time: 0.0193 last_data_time: 0.0127 lr: 0.01 max_mem: 8826M +[03/21 01:57:47] d2.utils.events INFO: eta: 6:09:32 iter: 11739 total_loss: 0.06021 loss_cls: 0.01928 loss_box_reg: 0.03279 loss_rpn_cls: 0.006192 loss_rpn_loc: 0.002411 loss_D_img_s: 6.334e-06 time: 0.5809 last_time: 0.5683 data_time: 0.0195 last_data_time: 0.0110 lr: 0.01 max_mem: 8826M +[03/21 01:57:59] d2.utils.events INFO: eta: 6:09:17 iter: 11759 total_loss: 0.07817 loss_cls: 0.02021 loss_box_reg: 0.04774 loss_rpn_cls: 0.008583 loss_rpn_loc: 0.002629 loss_D_img_s: 6.741e-06 time: 0.5809 last_time: 0.6220 data_time: 0.0234 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:58:10] d2.utils.events INFO: eta: 6:09:14 iter: 11779 total_loss: 0.06681 loss_cls: 0.01676 loss_box_reg: 0.03514 loss_rpn_cls: 0.006033 loss_rpn_loc: 0.002117 loss_D_img_s: 6.358e-06 time: 0.5809 last_time: 0.5179 data_time: 0.0181 last_data_time: 0.0190 lr: 0.01 max_mem: 8826M +[03/21 01:58:22] d2.utils.events INFO: eta: 6:08:57 iter: 11799 total_loss: 0.08223 loss_cls: 0.02275 loss_box_reg: 0.04832 loss_rpn_cls: 0.005683 loss_rpn_loc: 0.00235 loss_D_img_s: 6.23e-06 time: 0.5809 last_time: 0.5426 data_time: 0.0191 last_data_time: 0.0175 lr: 0.01 max_mem: 8826M +[03/21 01:58:34] d2.utils.events INFO: eta: 6:09:13 iter: 11819 total_loss: 0.07755 loss_cls: 0.01955 loss_box_reg: 0.04369 loss_rpn_cls: 0.007326 loss_rpn_loc: 0.002188 loss_D_img_s: 5.666e-06 time: 0.5810 last_time: 0.5797 data_time: 0.0170 last_data_time: 0.0104 lr: 0.01 max_mem: 8826M +[03/21 01:58:46] d2.utils.events INFO: eta: 6:08:55 iter: 11839 total_loss: 0.07418 loss_cls: 0.02354 loss_box_reg: 0.03552 loss_rpn_cls: 0.008289 loss_rpn_loc: 0.002495 loss_D_img_s: 5.727e-06 time: 0.5810 last_time: 0.6038 data_time: 0.0202 last_data_time: 0.0113 lr: 0.01 max_mem: 8826M +[03/21 01:58:58] d2.utils.events INFO: eta: 6:08:44 iter: 11859 total_loss: 0.06971 loss_cls: 0.02315 loss_box_reg: 0.03952 loss_rpn_cls: 0.004772 loss_rpn_loc: 0.002102 loss_D_img_s: 6.596e-06 time: 0.5810 last_time: 0.5863 data_time: 0.0305 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 01:59:09] d2.utils.events INFO: eta: 6:08:17 iter: 11879 total_loss: 0.07479 loss_cls: 0.02458 loss_box_reg: 0.04067 loss_rpn_cls: 0.007218 loss_rpn_loc: 0.002071 loss_D_img_s: 6.051e-06 time: 0.5810 last_time: 0.5776 data_time: 0.0169 last_data_time: 0.0153 lr: 0.01 max_mem: 8826M +[03/21 01:59:21] d2.utils.events INFO: eta: 6:08:00 iter: 11899 total_loss: 0.06734 loss_cls: 0.02409 loss_box_reg: 0.03738 loss_rpn_cls: 0.007227 loss_rpn_loc: 0.002564 loss_D_img_s: 6.212e-06 time: 0.5810 last_time: 0.5505 data_time: 0.0138 last_data_time: 0.0123 lr: 0.01 max_mem: 8826M +[03/21 01:59:32] d2.utils.events INFO: eta: 6:07:47 iter: 11919 total_loss: 0.07636 loss_cls: 0.02185 loss_box_reg: 0.04022 loss_rpn_cls: 0.00956 loss_rpn_loc: 0.00223 loss_D_img_s: 6.405e-06 time: 0.5809 last_time: 0.6128 data_time: 0.0199 last_data_time: 0.0356 lr: 0.01 max_mem: 8826M +[03/21 01:59:44] d2.utils.events INFO: eta: 6:07:42 iter: 11939 total_loss: 0.07163 loss_cls: 0.02547 loss_box_reg: 0.0389 loss_rpn_cls: 0.006556 loss_rpn_loc: 0.001775 loss_D_img_s: 6.177e-06 time: 0.5810 last_time: 0.5890 data_time: 0.0188 last_data_time: 0.0211 lr: 0.01 max_mem: 8826M +[03/21 01:59:56] d2.utils.events INFO: eta: 6:07:35 iter: 11959 total_loss: 0.07095 loss_cls: 0.02116 loss_box_reg: 0.03653 loss_rpn_cls: 0.008939 loss_rpn_loc: 0.002063 loss_D_img_s: 6.246e-06 time: 0.5810 last_time: 0.5918 data_time: 0.0213 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 02:00:08] d2.utils.events INFO: eta: 6:07:50 iter: 11979 total_loss: 0.07457 loss_cls: 0.02442 loss_box_reg: 0.04014 loss_rpn_cls: 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ETA=0:00:04 +[03/21 02:02:25] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.831875 (0.125336 s / iter per device, on 1 devices) +[03/21 02:02:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072066 s / iter per device, on 1 devices) +[03/21 02:02:26] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:02:26] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:02:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:02:26] d2.evaluation.testing INFO: copypaste: 0.5563,2.9436,0.0031 +[03/21 02:02:26] d2.data.common INFO: Serializing the dataset using: +[03/21 02:02:26] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:02:26] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:02:26] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:02:26] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:02:28] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 02:04:30] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.201354 (0.124698 s / iter per device, on 1 devices) +[03/21 02:04:30] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072477 s / iter per device, on 1 devices) +[03/21 02:04:31] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:04:31] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:04:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:04:31] d2.evaluation.testing INFO: copypaste: 0.7064,2.3197,0.5270 +[03/21 02:04:31] d2.utils.events INFO: eta: 6:07:48 iter: 11999 total_loss: 0.0788 loss_cls: 0.02406 loss_box_reg: 0.04092 loss_rpn_cls: 0.007484 loss_rpn_loc: 0.002813 loss_D_img_s: 6.438e-06 time: 0.5810 last_time: 0.5745 data_time: 0.0192 last_data_time: 0.0131 lr: 0.01 max_mem: 8826M +[03/21 02:04:42] d2.utils.events INFO: eta: 6:07:39 iter: 12019 total_loss: 0.07853 loss_cls: 0.02399 loss_box_reg: 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6.518e-06 time: 0.5811 last_time: 0.5915 data_time: 0.0181 last_data_time: 0.0118 lr: 0.01 max_mem: 8826M +[03/21 02:12:52] d2.utils.events INFO: eta: 6:00:32 iter: 12859 total_loss: 0.08221 loss_cls: 0.02309 loss_box_reg: 0.04813 loss_rpn_cls: 0.005891 loss_rpn_loc: 0.002536 loss_D_img_s: 6.54e-06 time: 0.5811 last_time: 0.6174 data_time: 0.0154 last_data_time: 0.0147 lr: 0.01 max_mem: 8826M +[03/21 02:13:03] d2.utils.events INFO: eta: 6:00:15 iter: 12879 total_loss: 0.0626 loss_cls: 0.01957 loss_box_reg: 0.03672 loss_rpn_cls: 0.005921 loss_rpn_loc: 0.002687 loss_D_img_s: 5.845e-06 time: 0.5811 last_time: 0.5687 data_time: 0.0201 last_data_time: 0.0344 lr: 0.01 max_mem: 8826M +[03/21 02:13:16] d2.utils.events INFO: eta: 6:00:21 iter: 12899 total_loss: 0.0702 loss_cls: 0.01998 loss_box_reg: 0.03462 loss_rpn_cls: 0.007447 loss_rpn_loc: 0.002752 loss_D_img_s: 5.249e-06 time: 0.5811 last_time: 0.6027 data_time: 0.0179 last_data_time: 0.0302 lr: 0.01 max_mem: 8826M +[03/21 02:13:27] d2.utils.events INFO: eta: 6:00:14 iter: 12919 total_loss: 0.07306 loss_cls: 0.01978 loss_box_reg: 0.03949 loss_rpn_cls: 0.007647 loss_rpn_loc: 0.002136 loss_D_img_s: 6.412e-06 time: 0.5812 last_time: 0.5549 data_time: 0.0164 last_data_time: 0.0088 lr: 0.01 max_mem: 8826M +[03/21 02:13:39] d2.utils.events INFO: eta: 5:59:45 iter: 12939 total_loss: 0.06497 loss_cls: 0.01599 loss_box_reg: 0.03681 loss_rpn_cls: 0.006952 loss_rpn_loc: 0.002621 loss_D_img_s: 6.611e-06 time: 0.5811 last_time: 0.6136 data_time: 0.0215 last_data_time: 0.0088 lr: 0.01 max_mem: 8826M +[03/21 02:13:50] d2.utils.events INFO: eta: 5:59:03 iter: 12959 total_loss: 0.0723 loss_cls: 0.01582 loss_box_reg: 0.03918 loss_rpn_cls: 0.005314 loss_rpn_loc: 0.002437 loss_D_img_s: 5.77e-06 time: 0.5811 last_time: 0.5022 data_time: 0.0177 last_data_time: 0.0138 lr: 0.01 max_mem: 8826M +[03/21 02:14:02] d2.utils.events INFO: eta: 5:58:36 iter: 12979 total_loss: 0.06118 loss_cls: 0.01664 loss_box_reg: 0.03252 loss_rpn_cls: 0.006197 loss_rpn_loc: 0.001996 loss_D_img_s: 5.862e-06 time: 0.5811 last_time: 0.5760 data_time: 0.0218 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 02:14:13] d2.data.common INFO: Serializing the dataset using: +[03/21 02:14:13] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:14:13] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:14:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:14:13] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:14:16] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 02:16:19] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.962820 (0.125468 s / iter per device, on 1 devices) +[03/21 02:16:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.071863 s / iter per device, on 1 devices) +[03/21 02:16:19] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:16:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:16:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:16:19] d2.evaluation.testing INFO: copypaste: 0.3450,1.3108,0.1529 +[03/21 02:16:19] d2.data.common INFO: Serializing the dataset using: +[03/21 02:16:19] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:16:19] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:16:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:16:19] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:16:23] d2.evaluation.evaluator INFO: Inference done 26/993. 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ETA=0:00:00 +[03/21 02:18:25] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.809624 (0.126326 s / iter per device, on 1 devices) +[03/21 02:18:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071518 s / iter per device, on 1 devices) +[03/21 02:18:25] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:18:25] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:18:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:18:25] d2.evaluation.testing INFO: copypaste: 0.6513,2.4451,0.0270 +[03/21 02:18:25] d2.utils.events INFO: eta: 5:58:20 iter: 12999 total_loss: 0.06658 loss_cls: 0.01981 loss_box_reg: 0.04237 loss_rpn_cls: 0.00644 loss_rpn_loc: 0.001966 loss_D_img_s: 5.814e-06 time: 0.5811 last_time: 0.6528 data_time: 0.0161 last_data_time: 0.0254 lr: 0.01 max_mem: 8826M +[03/21 02:18:36] d2.utils.events INFO: eta: 5:57:54 iter: 13019 total_loss: 0.05386 loss_cls: 0.01484 loss_box_reg: 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last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 02:19:21] d2.utils.events INFO: eta: 5:57:17 iter: 13099 total_loss: 0.06447 loss_cls: 0.01754 loss_box_reg: 0.0361 loss_rpn_cls: 0.006306 loss_rpn_loc: 0.002791 loss_D_img_s: 5.905e-06 time: 0.5809 last_time: 0.5780 data_time: 0.0180 last_data_time: 0.0099 lr: 0.01 max_mem: 8826M +[03/21 02:19:32] d2.utils.events INFO: eta: 5:57:04 iter: 13119 total_loss: 0.06827 loss_cls: 0.02077 loss_box_reg: 0.03969 loss_rpn_cls: 0.006372 loss_rpn_loc: 0.002082 loss_D_img_s: 5.977e-06 time: 0.5808 last_time: 0.4700 data_time: 0.0167 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 02:19:43] d2.utils.events INFO: eta: 5:56:30 iter: 13139 total_loss: 0.07254 loss_cls: 0.01937 loss_box_reg: 0.04001 loss_rpn_cls: 0.005508 loss_rpn_loc: 0.002123 loss_D_img_s: 5.834e-06 time: 0.5808 last_time: 0.4754 data_time: 0.0161 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/21 02:19:55] d2.utils.events INFO: eta: 5:56:24 iter: 13159 total_loss: 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+[03/21 02:22:38] d2.utils.events INFO: eta: 5:52:42 iter: 13439 total_loss: 0.07174 loss_cls: 0.01722 loss_box_reg: 0.04044 loss_rpn_cls: 0.008675 loss_rpn_loc: 0.003092 loss_D_img_s: 5.686e-06 time: 0.5809 last_time: 0.6035 data_time: 0.0164 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/21 02:22:50] d2.utils.events INFO: eta: 5:52:35 iter: 13459 total_loss: 0.0648 loss_cls: 0.02447 loss_box_reg: 0.04042 loss_rpn_cls: 0.008489 loss_rpn_loc: 0.002401 loss_D_img_s: 5.408e-06 time: 0.5809 last_time: 0.5972 data_time: 0.0148 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 02:23:02] d2.utils.events INFO: eta: 5:52:17 iter: 13479 total_loss: 0.0669 loss_cls: 0.02087 loss_box_reg: 0.03574 loss_rpn_cls: 0.00714 loss_rpn_loc: 0.001919 loss_D_img_s: 5.983e-06 time: 0.5809 last_time: 0.6946 data_time: 0.0283 last_data_time: 0.0245 lr: 0.01 max_mem: 8826M +[03/21 02:23:14] d2.utils.events INFO: eta: 5:52:12 iter: 13499 total_loss: 0.06132 loss_cls: 0.01606 loss_box_reg: 0.03521 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ETA=0:00:00 +[03/21 02:30:13] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.645407 (0.125147 s / iter per device, on 1 devices) +[03/21 02:30:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071354 s / iter per device, on 1 devices) +[03/21 02:30:13] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:30:13] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:30:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:30:13] d2.evaluation.testing INFO: copypaste: 0.5215,2.3340,0.0042 +[03/21 02:30:13] d2.data.common INFO: Serializing the dataset using: +[03/21 02:30:13] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:30:13] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:30:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:30:13] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:30:17] d2.evaluation.evaluator INFO: Inference done 31/993. 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ETA=0:00:02 +[03/21 02:32:16] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.026124 (0.123508 s / iter per device, on 1 devices) +[03/21 02:32:16] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071388 s / iter per device, on 1 devices) +[03/21 02:32:17] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:32:17] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:32:17] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:32:17] d2.evaluation.testing INFO: copypaste: 0.5655,2.2841,0.0000 +[03/21 02:32:17] d2.utils.events INFO: eta: 5:48:28 iter: 13999 total_loss: 0.06035 loss_cls: 0.01497 loss_box_reg: 0.0345 loss_rpn_cls: 0.004879 loss_rpn_loc: 0.002082 loss_D_img_s: 5.505e-06 time: 0.5811 last_time: 0.6063 data_time: 0.0146 last_data_time: 0.0144 lr: 0.01 max_mem: 8826M +[03/21 02:32:28] d2.utils.events INFO: eta: 5:48:18 iter: 14019 total_loss: 0.05433 loss_cls: 0.01774 loss_box_reg: 0.02879 loss_rpn_cls: 0.004853 loss_rpn_loc: 0.001896 loss_D_img_s: 5.411e-06 time: 0.5810 last_time: 0.5652 data_time: 0.0179 last_data_time: 0.0114 lr: 0.01 max_mem: 8826M +[03/21 02:32:39] d2.utils.events INFO: eta: 5:48:08 iter: 14039 total_loss: 0.06359 loss_cls: 0.01557 loss_box_reg: 0.03678 loss_rpn_cls: 0.007943 loss_rpn_loc: 0.002637 loss_D_img_s: 5.448e-06 time: 0.5810 last_time: 0.5884 data_time: 0.0177 last_data_time: 0.0239 lr: 0.01 max_mem: 8826M +[03/21 02:32:50] d2.utils.events INFO: eta: 5:48:00 iter: 14059 total_loss: 0.04712 loss_cls: 0.01144 loss_box_reg: 0.02791 loss_rpn_cls: 0.006028 loss_rpn_loc: 0.001905 loss_D_img_s: 5.748e-06 time: 0.5810 last_time: 0.6023 data_time: 0.0166 last_data_time: 0.0277 lr: 0.01 max_mem: 8826M +[03/21 02:33:01] d2.utils.events INFO: eta: 5:47:46 iter: 14079 total_loss: 0.06858 loss_cls: 0.01714 loss_box_reg: 0.0377 loss_rpn_cls: 0.005388 loss_rpn_loc: 0.002059 loss_D_img_s: 5.702e-06 time: 0.5810 last_time: 0.5868 data_time: 0.0233 last_data_time: 0.0134 lr: 0.01 max_mem: 8826M +[03/21 02:33:12] d2.utils.events INFO: eta: 5:47:30 iter: 14099 total_loss: 0.07276 loss_cls: 0.02175 loss_box_reg: 0.03996 loss_rpn_cls: 0.006631 loss_rpn_loc: 0.0027 loss_D_img_s: 5.678e-06 time: 0.5809 last_time: 0.5885 data_time: 0.0165 last_data_time: 0.0119 lr: 0.01 max_mem: 8826M +[03/21 02:33:24] d2.utils.events INFO: eta: 5:47:23 iter: 14119 total_loss: 0.05626 loss_cls: 0.01816 loss_box_reg: 0.03041 loss_rpn_cls: 0.005916 loss_rpn_loc: 0.002093 loss_D_img_s: 5.303e-06 time: 0.5809 last_time: 0.5721 data_time: 0.0183 last_data_time: 0.0114 lr: 0.01 max_mem: 8826M +[03/21 02:33:35] d2.utils.events INFO: eta: 5:47:10 iter: 14139 total_loss: 0.06116 loss_cls: 0.01871 loss_box_reg: 0.03404 loss_rpn_cls: 0.007847 loss_rpn_loc: 0.002951 loss_D_img_s: 5.257e-06 time: 0.5809 last_time: 0.5848 data_time: 0.0251 last_data_time: 0.0365 lr: 0.01 max_mem: 8826M +[03/21 02:33:47] d2.utils.events INFO: eta: 5:46:58 iter: 14159 total_loss: 0.05447 loss_cls: 0.01462 loss_box_reg: 0.03359 loss_rpn_cls: 0.005072 loss_rpn_loc: 0.001783 loss_D_img_s: 5.464e-06 time: 0.5809 last_time: 0.4871 data_time: 0.0200 last_data_time: 0.0348 lr: 0.01 max_mem: 8826M +[03/21 02:33:58] d2.utils.events INFO: eta: 5:46:56 iter: 14179 total_loss: 0.06722 loss_cls: 0.01954 loss_box_reg: 0.03722 loss_rpn_cls: 0.007032 loss_rpn_loc: 0.002757 loss_D_img_s: 5.429e-06 time: 0.5809 last_time: 0.5938 data_time: 0.0116 last_data_time: 0.0118 lr: 0.01 max_mem: 8826M +[03/21 02:34:10] d2.utils.events INFO: eta: 5:46:52 iter: 14199 total_loss: 0.05566 loss_cls: 0.01309 loss_box_reg: 0.03487 loss_rpn_cls: 0.004551 loss_rpn_loc: 0.002102 loss_D_img_s: 5.472e-06 time: 0.5809 last_time: 0.6059 data_time: 0.0164 last_data_time: 0.0126 lr: 0.01 max_mem: 8826M +[03/21 02:34:22] d2.utils.events INFO: eta: 5:46:20 iter: 14219 total_loss: 0.07043 loss_cls: 0.01906 loss_box_reg: 0.04343 loss_rpn_cls: 0.00504 loss_rpn_loc: 0.001962 loss_D_img_s: 5.275e-06 time: 0.5809 last_time: 0.5690 data_time: 0.0203 last_data_time: 0.0263 lr: 0.01 max_mem: 8826M +[03/21 02:34:34] d2.utils.events INFO: eta: 5:46:22 iter: 14239 total_loss: 0.05983 loss_cls: 0.02043 loss_box_reg: 0.03851 loss_rpn_cls: 0.006611 loss_rpn_loc: 0.002279 loss_D_img_s: 5.147e-06 time: 0.5809 last_time: 0.6357 data_time: 0.0208 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/21 02:34:45] d2.utils.events INFO: eta: 5:46:17 iter: 14259 total_loss: 0.06228 loss_cls: 0.01736 loss_box_reg: 0.034 loss_rpn_cls: 0.007515 loss_rpn_loc: 0.002983 loss_D_img_s: 5.715e-06 time: 0.5809 last_time: 0.5694 data_time: 0.0212 last_data_time: 0.0087 lr: 0.01 max_mem: 8826M +[03/21 02:34:57] d2.utils.events INFO: eta: 5:46:01 iter: 14279 total_loss: 0.06305 loss_cls: 0.01815 loss_box_reg: 0.03836 loss_rpn_cls: 0.005316 loss_rpn_loc: 0.002224 loss_D_img_s: 5.185e-06 time: 0.5809 last_time: 0.6456 data_time: 0.0133 last_data_time: 0.0168 lr: 0.01 max_mem: 8826M +[03/21 02:35:09] d2.utils.events INFO: eta: 5:45:50 iter: 14299 total_loss: 0.07885 loss_cls: 0.02101 loss_box_reg: 0.04367 loss_rpn_cls: 0.007322 loss_rpn_loc: 0.001776 loss_D_img_s: 5.736e-06 time: 0.5809 last_time: 0.4931 data_time: 0.0208 last_data_time: 0.0274 lr: 0.01 max_mem: 8826M +[03/21 02:35:20] d2.utils.events INFO: eta: 5:45:24 iter: 14319 total_loss: 0.07438 loss_cls: 0.02218 loss_box_reg: 0.04072 loss_rpn_cls: 0.007843 loss_rpn_loc: 0.002239 loss_D_img_s: 5.08e-06 time: 0.5809 last_time: 0.6000 data_time: 0.0217 last_data_time: 0.0113 lr: 0.01 max_mem: 8826M +[03/21 02:35:32] d2.utils.events INFO: eta: 5:45:31 iter: 14339 total_loss: 0.06451 loss_cls: 0.0169 loss_box_reg: 0.03999 loss_rpn_cls: 0.005772 loss_rpn_loc: 0.001937 loss_D_img_s: 5.305e-06 time: 0.5810 last_time: 0.6047 data_time: 0.0252 last_data_time: 0.0319 lr: 0.01 max_mem: 8826M +[03/21 02:35:44] d2.utils.events INFO: eta: 5:45:03 iter: 14359 total_loss: 0.0591 loss_cls: 0.01858 loss_box_reg: 0.03484 loss_rpn_cls: 0.005699 loss_rpn_loc: 0.001621 loss_D_img_s: 5.007e-06 time: 0.5810 last_time: 0.5760 data_time: 0.0234 last_data_time: 0.0311 lr: 0.01 max_mem: 8826M +[03/21 02:35:56] d2.utils.events INFO: eta: 5:45:25 iter: 14379 total_loss: 0.06307 loss_cls: 0.01638 loss_box_reg: 0.0419 loss_rpn_cls: 0.005691 loss_rpn_loc: 0.002284 loss_D_img_s: 5.256e-06 time: 0.5810 last_time: 0.5679 data_time: 0.0186 last_data_time: 0.0373 lr: 0.01 max_mem: 8826M +[03/21 02:36:07] d2.utils.events INFO: eta: 5:45:22 iter: 14399 total_loss: 0.06422 loss_cls: 0.01819 loss_box_reg: 0.03866 loss_rpn_cls: 0.00496 loss_rpn_loc: 0.001696 loss_D_img_s: 4.942e-06 time: 0.5810 last_time: 0.5787 data_time: 0.0237 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 02:36:19] d2.utils.events INFO: eta: 5:45:07 iter: 14419 total_loss: 0.06756 loss_cls: 0.01704 loss_box_reg: 0.03836 loss_rpn_cls: 0.006102 loss_rpn_loc: 0.002353 loss_D_img_s: 5.195e-06 time: 0.5810 last_time: 0.5747 data_time: 0.0162 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 02:36:31] d2.utils.events INFO: eta: 5:44:53 iter: 14439 total_loss: 0.05632 loss_cls: 0.01837 loss_box_reg: 0.03067 loss_rpn_cls: 0.006132 loss_rpn_loc: 0.002274 loss_D_img_s: 5.27e-06 time: 0.5810 last_time: 0.6112 data_time: 0.0145 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 02:36:42] d2.utils.events INFO: eta: 5:44:08 iter: 14459 total_loss: 0.06101 loss_cls: 0.01632 loss_box_reg: 0.03665 loss_rpn_cls: 0.003609 loss_rpn_loc: 0.001693 loss_D_img_s: 5.528e-06 time: 0.5809 last_time: 0.6224 data_time: 0.0166 last_data_time: 0.0148 lr: 0.01 max_mem: 8826M +[03/21 02:36:54] d2.utils.events INFO: eta: 5:44:02 iter: 14479 total_loss: 0.06208 loss_cls: 0.01467 loss_box_reg: 0.03752 loss_rpn_cls: 0.006051 loss_rpn_loc: 0.00245 loss_D_img_s: 5.26e-06 time: 0.5810 last_time: 0.6105 data_time: 0.0251 last_data_time: 0.0342 lr: 0.01 max_mem: 8826M +[03/21 02:37:06] d2.utils.events INFO: eta: 5:44:14 iter: 14499 total_loss: 0.06683 loss_cls: 0.0227 loss_box_reg: 0.03597 loss_rpn_cls: 0.008864 loss_rpn_loc: 0.002469 loss_D_img_s: 5.282e-06 time: 0.5810 last_time: 0.5009 data_time: 0.0226 last_data_time: 0.0154 lr: 0.01 max_mem: 8826M +[03/21 02:37:18] d2.utils.events INFO: eta: 5:43:29 iter: 14519 total_loss: 0.05189 loss_cls: 0.01466 loss_box_reg: 0.0302 loss_rpn_cls: 0.0051 loss_rpn_loc: 0.001757 loss_D_img_s: 5.147e-06 time: 0.5810 last_time: 0.7933 data_time: 0.0148 last_data_time: 0.0130 lr: 0.01 max_mem: 8826M +[03/21 02:37:29] d2.utils.events INFO: eta: 5:43:18 iter: 14539 total_loss: 0.07748 loss_cls: 0.02135 loss_box_reg: 0.04533 loss_rpn_cls: 0.007686 loss_rpn_loc: 0.002465 loss_D_img_s: 5.26e-06 time: 0.5810 last_time: 0.6009 data_time: 0.0188 last_data_time: 0.0089 lr: 0.01 max_mem: 8826M +[03/21 02:37:41] d2.utils.events INFO: eta: 5:43:32 iter: 14559 total_loss: 0.07682 loss_cls: 0.02247 loss_box_reg: 0.04852 loss_rpn_cls: 0.005658 loss_rpn_loc: 0.002521 loss_D_img_s: 5.689e-06 time: 0.5810 last_time: 0.6176 data_time: 0.0266 last_data_time: 0.0302 lr: 0.01 max_mem: 8826M +[03/21 02:37:53] d2.utils.events INFO: eta: 5:42:59 iter: 14579 total_loss: 0.05671 loss_cls: 0.01384 loss_box_reg: 0.03685 loss_rpn_cls: 0.008183 loss_rpn_loc: 0.001966 loss_D_img_s: 5.72e-06 time: 0.5810 last_time: 0.5492 data_time: 0.0200 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 02:38:05] d2.utils.events INFO: eta: 5:43:23 iter: 14599 total_loss: 0.06622 loss_cls: 0.02082 loss_box_reg: 0.03528 loss_rpn_cls: 0.006788 loss_rpn_loc: 0.00232 loss_D_img_s: 5.457e-06 time: 0.5811 last_time: 0.7678 data_time: 0.0117 last_data_time: 0.0118 lr: 0.01 max_mem: 8826M +[03/21 02:38:17] d2.utils.events INFO: eta: 5:43:11 iter: 14619 total_loss: 0.06461 loss_cls: 0.01695 loss_box_reg: 0.03395 loss_rpn_cls: 0.005989 loss_rpn_loc: 0.001926 loss_D_img_s: 5.088e-06 time: 0.5811 last_time: 0.5977 data_time: 0.0192 last_data_time: 0.0113 lr: 0.01 max_mem: 8826M +[03/21 02:38:29] d2.utils.events INFO: eta: 5:43:38 iter: 14639 total_loss: 0.06071 loss_cls: 0.01327 loss_box_reg: 0.03757 loss_rpn_cls: 0.004382 loss_rpn_loc: 0.002002 loss_D_img_s: 4.994e-06 time: 0.5811 last_time: 0.6011 data_time: 0.0195 last_data_time: 0.1080 lr: 0.01 max_mem: 8826M +[03/21 02:38:40] d2.utils.events INFO: eta: 5:43:22 iter: 14659 total_loss: 0.06683 loss_cls: 0.01762 loss_box_reg: 0.03901 loss_rpn_cls: 0.007279 loss_rpn_loc: 0.002151 loss_D_img_s: 5.104e-06 time: 0.5811 last_time: 0.6176 data_time: 0.0115 last_data_time: 0.0087 lr: 0.01 max_mem: 8826M +[03/21 02:38:52] d2.utils.events INFO: eta: 5:43:05 iter: 14679 total_loss: 0.06332 loss_cls: 0.01752 loss_box_reg: 0.04083 loss_rpn_cls: 0.005977 loss_rpn_loc: 0.001912 loss_D_img_s: 5.017e-06 time: 0.5811 last_time: 0.5792 data_time: 0.0190 last_data_time: 0.0107 lr: 0.01 max_mem: 8826M +[03/21 02:39:04] d2.utils.events INFO: eta: 5:42:46 iter: 14699 total_loss: 0.05689 loss_cls: 0.01648 loss_box_reg: 0.02698 loss_rpn_cls: 0.007749 loss_rpn_loc: 0.002057 loss_D_img_s: 5.087e-06 time: 0.5811 last_time: 0.5782 data_time: 0.0168 last_data_time: 0.0283 lr: 0.01 max_mem: 8826M +[03/21 02:39:16] d2.utils.events INFO: eta: 5:42:34 iter: 14719 total_loss: 0.06345 loss_cls: 0.01618 loss_box_reg: 0.03834 loss_rpn_cls: 0.004132 loss_rpn_loc: 0.002018 loss_D_img_s: 5.043e-06 time: 0.5811 last_time: 0.6276 data_time: 0.0217 last_data_time: 0.0131 lr: 0.01 max_mem: 8826M +[03/21 02:39:28] d2.utils.events INFO: eta: 5:42:26 iter: 14739 total_loss: 0.07142 loss_cls: 0.02184 loss_box_reg: 0.04138 loss_rpn_cls: 0.006871 loss_rpn_loc: 0.002352 loss_D_img_s: 4.803e-06 time: 0.5812 last_time: 0.6107 data_time: 0.0169 last_data_time: 0.0205 lr: 0.01 max_mem: 8826M +[03/21 02:39:40] d2.utils.events INFO: eta: 5:42:01 iter: 14759 total_loss: 0.06024 loss_cls: 0.02278 loss_box_reg: 0.02704 loss_rpn_cls: 0.006247 loss_rpn_loc: 0.002501 loss_D_img_s: 5.676e-06 time: 0.5812 last_time: 0.5835 data_time: 0.0143 last_data_time: 0.0093 lr: 0.01 max_mem: 8826M +[03/21 02:39:52] d2.utils.events INFO: eta: 5:41:51 iter: 14779 total_loss: 0.06684 loss_cls: 0.01517 loss_box_reg: 0.03584 loss_rpn_cls: 0.005053 loss_rpn_loc: 0.002533 loss_D_img_s: 5.319e-06 time: 0.5812 last_time: 0.5966 data_time: 0.0219 last_data_time: 0.0290 lr: 0.01 max_mem: 8826M +[03/21 02:40:03] d2.utils.events INFO: eta: 5:41:24 iter: 14799 total_loss: 0.05953 loss_cls: 0.01871 loss_box_reg: 0.03373 loss_rpn_cls: 0.008075 loss_rpn_loc: 0.002194 loss_D_img_s: 4.821e-06 time: 0.5812 last_time: 0.5995 data_time: 0.0152 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 02:40:15] d2.utils.events INFO: eta: 5:41:15 iter: 14819 total_loss: 0.04924 loss_cls: 0.01335 loss_box_reg: 0.02116 loss_rpn_cls: 0.004264 loss_rpn_loc: 0.001892 loss_D_img_s: 4.943e-06 time: 0.5812 last_time: 0.5830 data_time: 0.0252 last_data_time: 0.0377 lr: 0.01 max_mem: 8826M +[03/21 02:40:26] d2.utils.events INFO: eta: 5:40:45 iter: 14839 total_loss: 0.04742 loss_cls: 0.01394 loss_box_reg: 0.02915 loss_rpn_cls: 0.005204 loss_rpn_loc: 0.00181 loss_D_img_s: 5.052e-06 time: 0.5812 last_time: 0.4918 data_time: 0.0114 last_data_time: 0.0120 lr: 0.01 max_mem: 8826M +[03/21 02:40:38] d2.utils.events INFO: eta: 5:40:23 iter: 14859 total_loss: 0.06529 loss_cls: 0.01953 loss_box_reg: 0.03544 loss_rpn_cls: 0.006044 loss_rpn_loc: 0.001762 loss_D_img_s: 5.329e-06 time: 0.5812 last_time: 0.5226 data_time: 0.0187 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/21 02:40:50] d2.utils.events INFO: eta: 5:40:21 iter: 14879 total_loss: 0.06315 loss_cls: 0.01914 loss_box_reg: 0.03317 loss_rpn_cls: 0.007751 loss_rpn_loc: 0.00263 loss_D_img_s: 6.008e-06 time: 0.5812 last_time: 0.6068 data_time: 0.0182 last_data_time: 0.0333 lr: 0.01 max_mem: 8826M +[03/21 02:41:02] d2.utils.events INFO: eta: 5:40:28 iter: 14899 total_loss: 0.06265 loss_cls: 0.01347 loss_box_reg: 0.03332 loss_rpn_cls: 0.005735 loss_rpn_loc: 0.002444 loss_D_img_s: 5.756e-06 time: 0.5812 last_time: 0.5605 data_time: 0.0136 last_data_time: 0.0255 lr: 0.01 max_mem: 8826M +[03/21 02:41:14] d2.utils.events INFO: eta: 5:40:17 iter: 14919 total_loss: 0.06794 loss_cls: 0.01823 loss_box_reg: 0.03726 loss_rpn_cls: 0.006304 loss_rpn_loc: 0.002469 loss_D_img_s: 5.723e-06 time: 0.5812 last_time: 0.6189 data_time: 0.0161 last_data_time: 0.0272 lr: 0.01 max_mem: 8826M +[03/21 02:41:26] d2.utils.events INFO: eta: 5:39:58 iter: 14939 total_loss: 0.06194 loss_cls: 0.01777 loss_box_reg: 0.03205 loss_rpn_cls: 0.006023 loss_rpn_loc: 0.001949 loss_D_img_s: 5.348e-06 time: 0.5812 last_time: 0.6141 data_time: 0.0150 last_data_time: 0.0083 lr: 0.01 max_mem: 8826M +[03/21 02:41:38] d2.utils.events INFO: eta: 5:39:51 iter: 14959 total_loss: 0.05604 loss_cls: 0.01652 loss_box_reg: 0.0328 loss_rpn_cls: 0.005097 loss_rpn_loc: 0.002125 loss_D_img_s: 5.066e-06 time: 0.5813 last_time: 0.5897 data_time: 0.0214 last_data_time: 0.0095 lr: 0.01 max_mem: 8826M +[03/21 02:41:49] d2.utils.events INFO: eta: 5:39:42 iter: 14979 total_loss: 0.08207 loss_cls: 0.02447 loss_box_reg: 0.04224 loss_rpn_cls: 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ETA=0:00:02 +[03/21 02:44:09] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.711622 (0.127238 s / iter per device, on 1 devices) +[03/21 02:44:09] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073307 s / iter per device, on 1 devices) +[03/21 02:44:10] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:44:10] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:44:10] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:44:10] d2.evaluation.testing INFO: copypaste: 0.4223,2.3393,0.0765 +[03/21 02:44:10] d2.data.common INFO: Serializing the dataset using: +[03/21 02:44:10] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:44:10] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:44:10] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:44:10] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:44:12] d2.evaluation.evaluator INFO: Inference done 12/993. 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ETA=0:00:02 +[03/21 02:46:17] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.000340 (0.127531 s / iter per device, on 1 devices) +[03/21 02:46:17] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072633 s / iter per device, on 1 devices) +[03/21 02:46:17] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:46:17] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:46:17] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:46:17] d2.evaluation.testing INFO: copypaste: 0.4560,2.0220,0.0041 +[03/21 02:46:17] d2.utils.events INFO: eta: 5:39:21 iter: 14999 total_loss: 0.05896 loss_cls: 0.01819 loss_box_reg: 0.03225 loss_rpn_cls: 0.005458 loss_rpn_loc: 0.001694 loss_D_img_s: 4.878e-06 time: 0.5813 last_time: 0.5467 data_time: 0.0160 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 02:46:28] d2.utils.events INFO: eta: 5:39:18 iter: 15019 total_loss: 0.06772 loss_cls: 0.01829 loss_box_reg: 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loss_D_img_s: 4.551e-06 time: 0.5813 last_time: 0.4725 data_time: 0.0340 last_data_time: 0.0226 lr: 0.01 max_mem: 8826M +[03/21 02:54:39] d2.utils.events INFO: eta: 5:31:20 iter: 15859 total_loss: 0.07071 loss_cls: 0.01871 loss_box_reg: 0.03695 loss_rpn_cls: 0.007612 loss_rpn_loc: 0.00202 loss_D_img_s: 5.631e-06 time: 0.5813 last_time: 0.5538 data_time: 0.0181 last_data_time: 0.0100 lr: 0.01 max_mem: 8826M +[03/21 02:54:51] d2.utils.events INFO: eta: 5:31:11 iter: 15879 total_loss: 0.06819 loss_cls: 0.02132 loss_box_reg: 0.03947 loss_rpn_cls: 0.006608 loss_rpn_loc: 0.002746 loss_D_img_s: 4.968e-06 time: 0.5814 last_time: 0.6234 data_time: 0.0151 last_data_time: 0.0298 lr: 0.01 max_mem: 8826M +[03/21 02:55:03] d2.utils.events INFO: eta: 5:31:00 iter: 15899 total_loss: 0.07345 loss_cls: 0.02159 loss_box_reg: 0.03819 loss_rpn_cls: 0.008389 loss_rpn_loc: 0.002292 loss_D_img_s: 5.295e-06 time: 0.5814 last_time: 0.5160 data_time: 0.0173 last_data_time: 0.0158 lr: 0.01 max_mem: 8826M +[03/21 02:55:14] d2.utils.events INFO: eta: 5:30:33 iter: 15919 total_loss: 0.05549 loss_cls: 0.01381 loss_box_reg: 0.02797 loss_rpn_cls: 0.006741 loss_rpn_loc: 0.002309 loss_D_img_s: 5.216e-06 time: 0.5814 last_time: 0.5987 data_time: 0.0151 last_data_time: 0.0105 lr: 0.01 max_mem: 8826M +[03/21 02:55:25] d2.utils.events INFO: eta: 5:29:55 iter: 15939 total_loss: 0.05234 loss_cls: 0.01594 loss_box_reg: 0.02958 loss_rpn_cls: 0.006255 loss_rpn_loc: 0.002224 loss_D_img_s: 5.133e-06 time: 0.5813 last_time: 0.6867 data_time: 0.0179 last_data_time: 0.0207 lr: 0.01 max_mem: 8826M +[03/21 02:55:37] d2.utils.events INFO: eta: 5:29:57 iter: 15959 total_loss: 0.06619 loss_cls: 0.01726 loss_box_reg: 0.04299 loss_rpn_cls: 0.006253 loss_rpn_loc: 0.002384 loss_D_img_s: 4.847e-06 time: 0.5814 last_time: 0.5577 data_time: 0.0142 last_data_time: 0.0248 lr: 0.01 max_mem: 8826M +[03/21 02:55:49] d2.utils.events INFO: eta: 5:29:29 iter: 15979 total_loss: 0.05034 loss_cls: 0.01464 loss_box_reg: 0.03164 loss_rpn_cls: 0.005634 loss_rpn_loc: 0.001646 loss_D_img_s: 4.899e-06 time: 0.5813 last_time: 0.5972 data_time: 0.0132 last_data_time: 0.0126 lr: 0.01 max_mem: 8826M +[03/21 02:56:01] d2.data.common INFO: Serializing the dataset using: +[03/21 02:56:01] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:56:01] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:56:01] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:56:01] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:56:03] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 02:58:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.628785 (0.124118 s / iter per device, on 1 devices) +[03/21 02:58:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073246 s / iter per device, on 1 devices) +[03/21 02:58:05] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 02:58:05] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 02:58:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 02:58:05] d2.evaluation.testing INFO: copypaste: 0.3913,2.1462,0.0573 +[03/21 02:58:05] d2.data.common INFO: Serializing the dataset using: +[03/21 02:58:05] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 02:58:05] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 02:58:05] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 02:58:05] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 02:58:07] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 03:00:11] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.221154 (0.125730 s / iter per device, on 1 devices) +[03/21 03:00:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071488 s / iter per device, on 1 devices) +[03/21 03:00:11] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:00:11] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:00:11] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:00:11] d2.evaluation.testing INFO: copypaste: 0.5284,2.6494,0.1877 +[03/21 03:00:11] d2.utils.events INFO: eta: 5:29:27 iter: 15999 total_loss: 0.05025 loss_cls: 0.01599 loss_box_reg: 0.03034 loss_rpn_cls: 0.004866 loss_rpn_loc: 0.001767 loss_D_img_s: 4.842e-06 time: 0.5813 last_time: 0.5841 data_time: 0.0177 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 03:00:22] d2.utils.events INFO: eta: 5:29:07 iter: 16019 total_loss: 0.0584 loss_cls: 0.01341 loss_box_reg: 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last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 03:01:07] d2.utils.events INFO: eta: 5:27:41 iter: 16099 total_loss: 0.05479 loss_cls: 0.01135 loss_box_reg: 0.03462 loss_rpn_cls: 0.003297 loss_rpn_loc: 0.001911 loss_D_img_s: 4.638e-06 time: 0.5812 last_time: 0.5231 data_time: 0.0199 last_data_time: 0.0123 lr: 0.01 max_mem: 8826M +[03/21 03:01:18] d2.utils.events INFO: eta: 5:27:39 iter: 16119 total_loss: 0.06126 loss_cls: 0.01512 loss_box_reg: 0.0418 loss_rpn_cls: 0.005203 loss_rpn_loc: 0.002148 loss_D_img_s: 4.524e-06 time: 0.5812 last_time: 0.5804 data_time: 0.0162 last_data_time: 0.0082 lr: 0.01 max_mem: 8826M +[03/21 03:01:30] d2.utils.events INFO: eta: 5:27:41 iter: 16139 total_loss: 0.05437 loss_cls: 0.01705 loss_box_reg: 0.03292 loss_rpn_cls: 0.004711 loss_rpn_loc: 0.002368 loss_D_img_s: 4.888e-06 time: 0.5812 last_time: 0.5085 data_time: 0.0155 last_data_time: 0.0085 lr: 0.01 max_mem: 8826M +[03/21 03:01:41] d2.utils.events INFO: eta: 5:27:39 iter: 16159 total_loss: 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+[03/21 03:04:26] d2.utils.events INFO: eta: 5:24:19 iter: 16439 total_loss: 0.05742 loss_cls: 0.01406 loss_box_reg: 0.03125 loss_rpn_cls: 0.003615 loss_rpn_loc: 0.002084 loss_D_img_s: 4.519e-06 time: 0.5813 last_time: 0.6280 data_time: 0.0204 last_data_time: 0.0115 lr: 0.01 max_mem: 8826M +[03/21 03:04:38] d2.utils.events INFO: eta: 5:24:32 iter: 16459 total_loss: 0.05683 loss_cls: 0.01212 loss_box_reg: 0.03791 loss_rpn_cls: 0.004795 loss_rpn_loc: 0.001619 loss_D_img_s: 4.534e-06 time: 0.5813 last_time: 0.5843 data_time: 0.0193 last_data_time: 0.0139 lr: 0.01 max_mem: 8826M +[03/21 03:04:49] d2.utils.events INFO: eta: 5:24:31 iter: 16479 total_loss: 0.06166 loss_cls: 0.01665 loss_box_reg: 0.03475 loss_rpn_cls: 0.006576 loss_rpn_loc: 0.002099 loss_D_img_s: 4.434e-06 time: 0.5813 last_time: 0.5571 data_time: 0.0173 last_data_time: 0.0219 lr: 0.01 max_mem: 8826M +[03/21 03:05:01] d2.utils.events INFO: eta: 5:24:35 iter: 16499 total_loss: 0.06557 loss_cls: 0.01721 loss_box_reg: 0.02404 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ETA=0:00:00 +[03/21 03:12:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.666143 (0.130229 s / iter per device, on 1 devices) +[03/21 03:12:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:14 (0.075235 s / iter per device, on 1 devices) +[03/21 03:12:06] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:12:06] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:12:06] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:12:06] d2.evaluation.testing INFO: copypaste: 0.7242,4.5615,0.0000 +[03/21 03:12:06] d2.data.common INFO: Serializing the dataset using: +[03/21 03:12:06] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:12:06] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:12:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:12:06] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:12:10] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:02 +[03/21 03:14:10] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.025262 (0.124519 s / iter per device, on 1 devices) +[03/21 03:14:10] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.071992 s / iter per device, on 1 devices) +[03/21 03:14:11] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:14:11] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:14:11] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:14:11] d2.evaluation.testing INFO: copypaste: 0.5448,2.6487,0.1311 +[03/21 03:14:11] d2.utils.events INFO: eta: 5:19:05 iter: 16999 total_loss: 0.06561 loss_cls: 0.01964 loss_box_reg: 0.03387 loss_rpn_cls: 0.006868 loss_rpn_loc: 0.001947 loss_D_img_s: 4.874e-06 time: 0.5815 last_time: 0.5951 data_time: 0.0182 last_data_time: 0.0130 lr: 0.01 max_mem: 8826M +[03/21 03:14:22] d2.utils.events INFO: eta: 5:18:59 iter: 17019 total_loss: 0.0481 loss_cls: 0.01359 loss_box_reg: 0.02834 loss_rpn_cls: 0.003612 loss_rpn_loc: 0.00174 loss_D_img_s: 4.721e-06 time: 0.5814 last_time: 0.5548 data_time: 0.0182 last_data_time: 0.0113 lr: 0.01 max_mem: 8826M +[03/21 03:14:33] d2.utils.events INFO: eta: 5:18:42 iter: 17039 total_loss: 0.0565 loss_cls: 0.01383 loss_box_reg: 0.03669 loss_rpn_cls: 0.004173 loss_rpn_loc: 0.002666 loss_D_img_s: 4.504e-06 time: 0.5814 last_time: 0.5335 data_time: 0.0126 last_data_time: 0.0111 lr: 0.01 max_mem: 8826M +[03/21 03:14:44] d2.utils.events INFO: eta: 5:18:32 iter: 17059 total_loss: 0.05966 loss_cls: 0.01518 loss_box_reg: 0.02871 loss_rpn_cls: 0.0051 loss_rpn_loc: 0.001532 loss_D_img_s: 4.63e-06 time: 0.5814 last_time: 0.5726 data_time: 0.0223 last_data_time: 0.0152 lr: 0.01 max_mem: 8826M +[03/21 03:14:55] d2.utils.events INFO: eta: 5:18:15 iter: 17079 total_loss: 0.05632 loss_cls: 0.01596 loss_box_reg: 0.03181 loss_rpn_cls: 0.005385 loss_rpn_loc: 0.001818 loss_D_img_s: 4.709e-06 time: 0.5813 last_time: 0.5689 data_time: 0.0193 last_data_time: 0.0106 lr: 0.01 max_mem: 8826M +[03/21 03:15:06] d2.utils.events INFO: eta: 5:18:09 iter: 17099 total_loss: 0.05324 loss_cls: 0.01314 loss_box_reg: 0.03377 loss_rpn_cls: 0.005153 loss_rpn_loc: 0.001968 loss_D_img_s: 4.869e-06 time: 0.5813 last_time: 0.5150 data_time: 0.0238 last_data_time: 0.0112 lr: 0.01 max_mem: 8826M +[03/21 03:15:17] d2.utils.events INFO: eta: 5:17:47 iter: 17119 total_loss: 0.06232 loss_cls: 0.01576 loss_box_reg: 0.04238 loss_rpn_cls: 0.003109 loss_rpn_loc: 0.001651 loss_D_img_s: 4.699e-06 time: 0.5813 last_time: 0.6023 data_time: 0.0214 last_data_time: 0.0083 lr: 0.01 max_mem: 8826M +[03/21 03:15:28] d2.utils.events INFO: eta: 5:17:21 iter: 17139 total_loss: 0.04734 loss_cls: 0.01174 loss_box_reg: 0.02591 loss_rpn_cls: 0.004219 loss_rpn_loc: 0.001634 loss_D_img_s: 4.566e-06 time: 0.5813 last_time: 0.5118 data_time: 0.0199 last_data_time: 0.0198 lr: 0.01 max_mem: 8826M +[03/21 03:15:40] d2.utils.events INFO: eta: 5:17:07 iter: 17159 total_loss: 0.06278 loss_cls: 0.0162 loss_box_reg: 0.03501 loss_rpn_cls: 0.007567 loss_rpn_loc: 0.002176 loss_D_img_s: 4.936e-06 time: 0.5813 last_time: 0.5989 data_time: 0.0176 last_data_time: 0.0169 lr: 0.01 max_mem: 8826M +[03/21 03:15:51] d2.utils.events INFO: eta: 5:16:36 iter: 17179 total_loss: 0.05839 loss_cls: 0.01449 loss_box_reg: 0.03533 loss_rpn_cls: 0.00512 loss_rpn_loc: 0.002032 loss_D_img_s: 4.563e-06 time: 0.5812 last_time: 0.6021 data_time: 0.0196 last_data_time: 0.0251 lr: 0.01 max_mem: 8826M +[03/21 03:16:02] d2.utils.events INFO: eta: 5:16:25 iter: 17199 total_loss: 0.06252 loss_cls: 0.01388 loss_box_reg: 0.03733 loss_rpn_cls: 0.004837 loss_rpn_loc: 0.002157 loss_D_img_s: 4.816e-06 time: 0.5812 last_time: 0.6032 data_time: 0.0187 last_data_time: 0.0109 lr: 0.01 max_mem: 8826M +[03/21 03:16:14] d2.utils.events INFO: eta: 5:16:24 iter: 17219 total_loss: 0.05535 loss_cls: 0.01366 loss_box_reg: 0.03113 loss_rpn_cls: 0.005133 loss_rpn_loc: 0.003016 loss_D_img_s: 4.73e-06 time: 0.5812 last_time: 0.4629 data_time: 0.0302 last_data_time: 0.0091 lr: 0.01 max_mem: 8826M +[03/21 03:16:25] d2.utils.events INFO: eta: 5:16:11 iter: 17239 total_loss: 0.06013 loss_cls: 0.01493 loss_box_reg: 0.03314 loss_rpn_cls: 0.005481 loss_rpn_loc: 0.001733 loss_D_img_s: 5.075e-06 time: 0.5812 last_time: 0.6134 data_time: 0.0169 last_data_time: 0.0084 lr: 0.01 max_mem: 8826M +[03/21 03:16:37] d2.utils.events INFO: eta: 5:16:09 iter: 17259 total_loss: 0.06004 loss_cls: 0.01409 loss_box_reg: 0.03355 loss_rpn_cls: 0.005135 loss_rpn_loc: 0.002504 loss_D_img_s: 5.031e-06 time: 0.5812 last_time: 0.4812 data_time: 0.0226 last_data_time: 0.0114 lr: 0.01 max_mem: 8826M +[03/21 03:16:49] d2.utils.events INFO: eta: 5:15:48 iter: 17279 total_loss: 0.04571 loss_cls: 0.01236 loss_box_reg: 0.02567 loss_rpn_cls: 0.005527 loss_rpn_loc: 0.001789 loss_D_img_s: 4.625e-06 time: 0.5812 last_time: 0.5553 data_time: 0.0160 last_data_time: 0.0090 lr: 0.01 max_mem: 8826M +[03/21 03:17:00] d2.utils.events INFO: eta: 5:15:46 iter: 17299 total_loss: 0.05664 loss_cls: 0.01766 loss_box_reg: 0.0314 loss_rpn_cls: 0.00647 loss_rpn_loc: 0.002464 loss_D_img_s: 4.867e-06 time: 0.5812 last_time: 0.5758 data_time: 0.0220 last_data_time: 0.0103 lr: 0.01 max_mem: 8826M +[03/21 03:17:12] d2.utils.events INFO: eta: 5:15:23 iter: 17319 total_loss: 0.04778 loss_cls: 0.01511 loss_box_reg: 0.02758 loss_rpn_cls: 0.004694 loss_rpn_loc: 0.001738 loss_D_img_s: 5.172e-06 time: 0.5812 last_time: 0.6021 data_time: 0.0120 last_data_time: 0.0107 lr: 0.01 max_mem: 8826M +[03/21 03:17:23] d2.utils.events INFO: eta: 5:14:42 iter: 17339 total_loss: 0.05393 loss_cls: 0.01519 loss_box_reg: 0.03324 loss_rpn_cls: 0.004658 loss_rpn_loc: 0.001558 loss_D_img_s: 4.951e-06 time: 0.5812 last_time: 0.6250 data_time: 0.0142 last_data_time: 0.0263 lr: 0.01 max_mem: 8826M +[03/21 03:17:35] d2.utils.events INFO: eta: 5:14:34 iter: 17359 total_loss: 0.05371 loss_cls: 0.01772 loss_box_reg: 0.0299 loss_rpn_cls: 0.005852 loss_rpn_loc: 0.001671 loss_D_img_s: 4.881e-06 time: 0.5812 last_time: 0.5288 data_time: 0.0144 last_data_time: 0.0121 lr: 0.01 max_mem: 8826M +[03/21 03:17:47] d2.utils.events INFO: eta: 5:14:38 iter: 17379 total_loss: 0.05311 loss_cls: 0.0125 loss_box_reg: 0.03292 loss_rpn_cls: 0.004338 loss_rpn_loc: 0.001601 loss_D_img_s: 4.735e-06 time: 0.5812 last_time: 0.5788 data_time: 0.0198 last_data_time: 0.0129 lr: 0.01 max_mem: 8826M +[03/21 03:17:58] d2.utils.events INFO: eta: 5:14:23 iter: 17399 total_loss: 0.04975 loss_cls: 0.01351 loss_box_reg: 0.03302 loss_rpn_cls: 0.005875 loss_rpn_loc: 0.001948 loss_D_img_s: 4.953e-06 time: 0.5812 last_time: 0.6029 data_time: 0.0133 last_data_time: 0.0109 lr: 0.01 max_mem: 8826M +[03/21 03:18:10] d2.utils.events INFO: eta: 5:14:03 iter: 17419 total_loss: 0.05473 loss_cls: 0.01366 loss_box_reg: 0.03016 loss_rpn_cls: 0.006316 loss_rpn_loc: 0.002357 loss_D_img_s: 5.146e-06 time: 0.5812 last_time: 0.6217 data_time: 0.0191 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 03:18:21] d2.utils.events INFO: eta: 5:13:25 iter: 17439 total_loss: 0.05091 loss_cls: 0.01578 loss_box_reg: 0.03078 loss_rpn_cls: 0.005409 loss_rpn_loc: 0.001987 loss_D_img_s: 4.964e-06 time: 0.5811 last_time: 0.5348 data_time: 0.0122 last_data_time: 0.0187 lr: 0.01 max_mem: 8826M +[03/21 03:18:33] d2.utils.events INFO: eta: 5:13:08 iter: 17459 total_loss: 0.05103 loss_cls: 0.01416 loss_box_reg: 0.03157 loss_rpn_cls: 0.006043 loss_rpn_loc: 0.002023 loss_D_img_s: 4.811e-06 time: 0.5811 last_time: 0.5746 data_time: 0.0174 last_data_time: 0.0112 lr: 0.01 max_mem: 8826M +[03/21 03:18:44] d2.utils.events INFO: eta: 5:13:01 iter: 17479 total_loss: 0.05876 loss_cls: 0.0148 loss_box_reg: 0.03654 loss_rpn_cls: 0.004328 loss_rpn_loc: 0.002467 loss_D_img_s: 5.171e-06 time: 0.5812 last_time: 0.6288 data_time: 0.0169 last_data_time: 0.0085 lr: 0.01 max_mem: 8826M +[03/21 03:18:56] d2.utils.events INFO: eta: 5:12:53 iter: 17499 total_loss: 0.05446 loss_cls: 0.01377 loss_box_reg: 0.02943 loss_rpn_cls: 0.005119 loss_rpn_loc: 0.002052 loss_D_img_s: 4.546e-06 time: 0.5812 last_time: 0.5874 data_time: 0.0228 last_data_time: 0.0363 lr: 0.01 max_mem: 8826M +[03/21 03:19:08] d2.utils.events INFO: eta: 5:12:45 iter: 17519 total_loss: 0.07106 loss_cls: 0.01584 loss_box_reg: 0.04231 loss_rpn_cls: 0.005068 loss_rpn_loc: 0.002202 loss_D_img_s: 4.91e-06 time: 0.5812 last_time: 0.6109 data_time: 0.0156 last_data_time: 0.0210 lr: 0.01 max_mem: 8826M +[03/21 03:19:20] d2.utils.events INFO: eta: 5:12:33 iter: 17539 total_loss: 0.07313 loss_cls: 0.02136 loss_box_reg: 0.04164 loss_rpn_cls: 0.0056 loss_rpn_loc: 0.00259 loss_D_img_s: 4.735e-06 time: 0.5812 last_time: 0.5857 data_time: 0.0190 last_data_time: 0.0097 lr: 0.01 max_mem: 8826M +[03/21 03:19:32] d2.utils.events INFO: eta: 5:12:22 iter: 17559 total_loss: 0.0697 loss_cls: 0.01952 loss_box_reg: 0.04099 loss_rpn_cls: 0.006774 loss_rpn_loc: 0.002508 loss_D_img_s: 5.364e-06 time: 0.5812 last_time: 0.6078 data_time: 0.0139 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 03:19:43] d2.utils.events INFO: eta: 5:11:58 iter: 17579 total_loss: 0.05859 loss_cls: 0.01479 loss_box_reg: 0.03511 loss_rpn_cls: 0.004637 loss_rpn_loc: 0.002034 loss_D_img_s: 4.996e-06 time: 0.5812 last_time: 0.5961 data_time: 0.0173 last_data_time: 0.0166 lr: 0.01 max_mem: 8826M +[03/21 03:19:55] d2.utils.events INFO: eta: 5:11:42 iter: 17599 total_loss: 0.06924 loss_cls: 0.02282 loss_box_reg: 0.03464 loss_rpn_cls: 0.005931 loss_rpn_loc: 0.002003 loss_D_img_s: 5.192e-06 time: 0.5812 last_time: 0.5366 data_time: 0.0160 last_data_time: 0.0337 lr: 0.01 max_mem: 8826M +[03/21 03:20:07] d2.utils.events INFO: eta: 5:11:40 iter: 17619 total_loss: 0.05117 loss_cls: 0.01384 loss_box_reg: 0.03044 loss_rpn_cls: 0.00353 loss_rpn_loc: 0.001973 loss_D_img_s: 4.999e-06 time: 0.5812 last_time: 0.6577 data_time: 0.0226 last_data_time: 0.0101 lr: 0.01 max_mem: 8826M +[03/21 03:20:18] d2.utils.events INFO: eta: 5:11:37 iter: 17639 total_loss: 0.04861 loss_cls: 0.01363 loss_box_reg: 0.02893 loss_rpn_cls: 0.005599 loss_rpn_loc: 0.002636 loss_D_img_s: 5.092e-06 time: 0.5812 last_time: 0.6129 data_time: 0.0163 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 03:20:29] d2.utils.events INFO: eta: 5:11:18 iter: 17659 total_loss: 0.07821 loss_cls: 0.02102 loss_box_reg: 0.04141 loss_rpn_cls: 0.006875 loss_rpn_loc: 0.002366 loss_D_img_s: 4.717e-06 time: 0.5812 last_time: 0.5953 data_time: 0.0155 last_data_time: 0.0116 lr: 0.01 max_mem: 8826M +[03/21 03:20:41] d2.utils.events INFO: eta: 5:11:05 iter: 17679 total_loss: 0.06809 loss_cls: 0.01878 loss_box_reg: 0.03944 loss_rpn_cls: 0.004846 loss_rpn_loc: 0.001946 loss_D_img_s: 4.715e-06 time: 0.5812 last_time: 0.6111 data_time: 0.0139 last_data_time: 0.0122 lr: 0.01 max_mem: 8826M +[03/21 03:20:53] d2.utils.events INFO: eta: 5:11:02 iter: 17699 total_loss: 0.05923 loss_cls: 0.01601 loss_box_reg: 0.03322 loss_rpn_cls: 0.005824 loss_rpn_loc: 0.002236 loss_D_img_s: 5.016e-06 time: 0.5812 last_time: 0.6026 data_time: 0.0157 last_data_time: 0.0127 lr: 0.01 max_mem: 8826M +[03/21 03:21:04] d2.utils.events INFO: eta: 5:10:46 iter: 17719 total_loss: 0.06136 loss_cls: 0.01423 loss_box_reg: 0.03351 loss_rpn_cls: 0.005785 loss_rpn_loc: 0.002138 loss_D_img_s: 4.699e-06 time: 0.5812 last_time: 0.5919 data_time: 0.0156 last_data_time: 0.0282 lr: 0.01 max_mem: 8826M +[03/21 03:21:16] d2.utils.events INFO: eta: 5:10:20 iter: 17739 total_loss: 0.0494 loss_cls: 0.01314 loss_box_reg: 0.0296 loss_rpn_cls: 0.004404 loss_rpn_loc: 0.001628 loss_D_img_s: 4.859e-06 time: 0.5812 last_time: 0.5305 data_time: 0.0134 last_data_time: 0.0253 lr: 0.01 max_mem: 8826M +[03/21 03:21:28] d2.utils.events INFO: eta: 5:10:06 iter: 17759 total_loss: 0.06951 loss_cls: 0.02027 loss_box_reg: 0.03559 loss_rpn_cls: 0.00608 loss_rpn_loc: 0.002206 loss_D_img_s: 5.28e-06 time: 0.5812 last_time: 0.5775 data_time: 0.0126 last_data_time: 0.0088 lr: 0.01 max_mem: 8826M +[03/21 03:21:39] d2.utils.events INFO: eta: 5:10:07 iter: 17779 total_loss: 0.06431 loss_cls: 0.01878 loss_box_reg: 0.0407 loss_rpn_cls: 0.006451 loss_rpn_loc: 0.002923 loss_D_img_s: 4.864e-06 time: 0.5812 last_time: 0.5557 data_time: 0.0121 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 03:21:51] d2.utils.events INFO: eta: 5:10:04 iter: 17799 total_loss: 0.05527 loss_cls: 0.01463 loss_box_reg: 0.03486 loss_rpn_cls: 0.005941 loss_rpn_loc: 0.001636 loss_D_img_s: 4.866e-06 time: 0.5812 last_time: 0.5812 data_time: 0.0216 last_data_time: 0.0094 lr: 0.01 max_mem: 8826M +[03/21 03:22:02] d2.utils.events INFO: eta: 5:09:52 iter: 17819 total_loss: 0.04994 loss_cls: 0.01439 loss_box_reg: 0.02899 loss_rpn_cls: 0.005593 loss_rpn_loc: 0.001962 loss_D_img_s: 5.061e-06 time: 0.5812 last_time: 0.5559 data_time: 0.0226 last_data_time: 0.0119 lr: 0.01 max_mem: 8826M +[03/21 03:22:14] d2.utils.events INFO: eta: 5:09:44 iter: 17839 total_loss: 0.06127 loss_cls: 0.0153 loss_box_reg: 0.03592 loss_rpn_cls: 0.003131 loss_rpn_loc: 0.001802 loss_D_img_s: 4.473e-06 time: 0.5812 last_time: 0.6427 data_time: 0.0184 last_data_time: 0.0311 lr: 0.01 max_mem: 8826M +[03/21 03:22:26] d2.utils.events INFO: eta: 5:10:01 iter: 17859 total_loss: 0.04563 loss_cls: 0.01439 loss_box_reg: 0.02719 loss_rpn_cls: 0.005921 loss_rpn_loc: 0.001717 loss_D_img_s: 4.335e-06 time: 0.5812 last_time: 0.5598 data_time: 0.0234 last_data_time: 0.0197 lr: 0.01 max_mem: 8826M +[03/21 03:22:38] d2.utils.events INFO: eta: 5:09:47 iter: 17879 total_loss: 0.05634 loss_cls: 0.01611 loss_box_reg: 0.03973 loss_rpn_cls: 0.0066 loss_rpn_loc: 0.002378 loss_D_img_s: 4.678e-06 time: 0.5812 last_time: 0.5890 data_time: 0.0178 last_data_time: 0.0178 lr: 0.01 max_mem: 8826M +[03/21 03:22:50] d2.utils.events INFO: eta: 5:09:50 iter: 17899 total_loss: 0.06227 loss_cls: 0.01638 loss_box_reg: 0.03325 loss_rpn_cls: 0.00464 loss_rpn_loc: 0.001735 loss_D_img_s: 4.744e-06 time: 0.5812 last_time: 0.5550 data_time: 0.0231 last_data_time: 0.0435 lr: 0.01 max_mem: 8826M +[03/21 03:23:01] d2.utils.events INFO: eta: 5:09:56 iter: 17919 total_loss: 0.06066 loss_cls: 0.01338 loss_box_reg: 0.03557 loss_rpn_cls: 0.005687 loss_rpn_loc: 0.002243 loss_D_img_s: 4.632e-06 time: 0.5812 last_time: 0.5986 data_time: 0.0203 last_data_time: 0.0109 lr: 0.01 max_mem: 8826M +[03/21 03:23:13] d2.utils.events INFO: eta: 5:09:27 iter: 17939 total_loss: 0.05521 loss_cls: 0.01456 loss_box_reg: 0.03441 loss_rpn_cls: 0.004797 loss_rpn_loc: 0.002527 loss_D_img_s: 4.723e-06 time: 0.5812 last_time: 0.5159 data_time: 0.0205 last_data_time: 0.0093 lr: 0.01 max_mem: 8826M +[03/21 03:23:24] d2.utils.events INFO: eta: 5:09:01 iter: 17959 total_loss: 0.06404 loss_cls: 0.01762 loss_box_reg: 0.03376 loss_rpn_cls: 0.005023 loss_rpn_loc: 0.001823 loss_D_img_s: 4.401e-06 time: 0.5812 last_time: 0.5676 data_time: 0.0207 last_data_time: 0.0224 lr: 0.01 max_mem: 8826M +[03/21 03:23:36] d2.utils.events INFO: eta: 5:08:51 iter: 17979 total_loss: 0.04891 loss_cls: 0.01309 loss_box_reg: 0.02738 loss_rpn_cls: 0.004569 loss_rpn_loc: 0.002019 loss_D_img_s: 4.397e-06 time: 0.5812 last_time: 0.5391 data_time: 0.0160 last_data_time: 0.0140 lr: 0.01 max_mem: 8826M +[03/21 03:23:48] d2.data.common INFO: Serializing the dataset using: +[03/21 03:23:48] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:23:48] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:23:48] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:23:48] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:23:50] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 03:25:55] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.463822 (0.126988 s / iter per device, on 1 devices) +[03/21 03:25:55] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.073915 s / iter per device, on 1 devices) +[03/21 03:25:56] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:25:56] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:25:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:25:56] d2.evaluation.testing INFO: copypaste: 0.4302,2.1318,0.0000 +[03/21 03:25:56] d2.data.common INFO: Serializing the dataset using: +[03/21 03:25:56] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:25:56] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:25:56] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:25:56] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:25:58] d2.evaluation.evaluator INFO: Inference done 14/993. 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ETA=0:00:03 +[03/21 03:28:03] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.406633 (0.127942 s / iter per device, on 1 devices) +[03/21 03:28:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073353 s / iter per device, on 1 devices) +[03/21 03:28:04] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:28:04] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:28:04] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:28:04] d2.evaluation.testing INFO: copypaste: 0.4164,1.9657,0.0935 +[03/21 03:28:04] d2.utils.events INFO: eta: 5:08:19 iter: 17999 total_loss: 0.06609 loss_cls: 0.01867 loss_box_reg: 0.04005 loss_rpn_cls: 0.006506 loss_rpn_loc: 0.002524 loss_D_img_s: 4.743e-06 time: 0.5812 last_time: 0.5926 data_time: 0.0141 last_data_time: 0.0102 lr: 0.01 max_mem: 8826M +[03/21 03:28:15] d2.utils.events INFO: eta: 5:08:18 iter: 18019 total_loss: 0.05754 loss_cls: 0.01312 loss_box_reg: 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+[03/21 03:32:17] d2.utils.events INFO: eta: 5:05:14 iter: 18439 total_loss: 0.05569 loss_cls: 0.01558 loss_box_reg: 0.03181 loss_rpn_cls: 0.00559 loss_rpn_loc: 0.002641 loss_D_img_s: 4.968e-06 time: 0.5811 last_time: 0.5837 data_time: 0.0263 last_data_time: 0.0358 lr: 0.01 max_mem: 8826M +[03/21 03:32:29] d2.utils.events INFO: eta: 5:05:05 iter: 18459 total_loss: 0.05441 loss_cls: 0.0149 loss_box_reg: 0.03475 loss_rpn_cls: 0.004611 loss_rpn_loc: 0.001769 loss_D_img_s: 5.427e-06 time: 0.5811 last_time: 0.5692 data_time: 0.0255 last_data_time: 0.0167 lr: 0.01 max_mem: 8826M +[03/21 03:32:41] d2.utils.events INFO: eta: 5:04:51 iter: 18479 total_loss: 0.06059 loss_cls: 0.01572 loss_box_reg: 0.03655 loss_rpn_cls: 0.005596 loss_rpn_loc: 0.001968 loss_D_img_s: 5.011e-06 time: 0.5811 last_time: 0.6174 data_time: 0.0161 last_data_time: 0.0588 lr: 0.01 max_mem: 8826M +[03/21 03:32:53] d2.utils.events INFO: eta: 5:04:41 iter: 18499 total_loss: 0.06767 loss_cls: 0.0167 loss_box_reg: 0.0415 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loss_D_img_s: 4.163e-06 time: 0.5812 last_time: 0.5669 data_time: 0.0207 last_data_time: 0.0110 lr: 0.01 max_mem: 8826M +[03/21 03:36:23] d2.utils.events INFO: eta: 4:59:21 iter: 18859 total_loss: 0.05524 loss_cls: 0.01553 loss_box_reg: 0.02859 loss_rpn_cls: 0.005456 loss_rpn_loc: 0.001581 loss_D_img_s: 4.103e-06 time: 0.5811 last_time: 0.6029 data_time: 0.0187 last_data_time: 0.0092 lr: 0.01 max_mem: 8826M +[03/21 03:36:35] d2.utils.events INFO: eta: 4:59:27 iter: 18879 total_loss: 0.05388 loss_cls: 0.01165 loss_box_reg: 0.03423 loss_rpn_cls: 0.005029 loss_rpn_loc: 0.002065 loss_D_img_s: 3.818e-06 time: 0.5812 last_time: 0.5994 data_time: 0.0217 last_data_time: 0.0900 lr: 0.01 max_mem: 8826M +[03/21 03:36:47] d2.utils.events INFO: eta: 4:59:17 iter: 18899 total_loss: 0.05486 loss_cls: 0.01343 loss_box_reg: 0.03416 loss_rpn_cls: 0.002902 loss_rpn_loc: 0.001716 loss_D_img_s: 3.976e-06 time: 0.5812 last_time: 0.5953 data_time: 0.0214 last_data_time: 0.0138 lr: 0.01 max_mem: 8826M +[03/21 03:36:59] d2.utils.events INFO: eta: 4:59:07 iter: 18919 total_loss: 0.06279 loss_cls: 0.01691 loss_box_reg: 0.03414 loss_rpn_cls: 0.00503 loss_rpn_loc: 0.002252 loss_D_img_s: 4.539e-06 time: 0.5812 last_time: 0.6645 data_time: 0.0167 last_data_time: 0.0100 lr: 0.01 max_mem: 8826M +[03/21 03:37:10] d2.utils.events INFO: eta: 4:59:07 iter: 18939 total_loss: 0.04525 loss_cls: 0.01295 loss_box_reg: 0.02836 loss_rpn_cls: 0.004253 loss_rpn_loc: 0.001867 loss_D_img_s: 4.511e-06 time: 0.5812 last_time: 0.6459 data_time: 0.0180 last_data_time: 0.0242 lr: 0.01 max_mem: 8826M +[03/21 03:37:22] d2.utils.events INFO: eta: 4:58:56 iter: 18959 total_loss: 0.05748 loss_cls: 0.01266 loss_box_reg: 0.03826 loss_rpn_cls: 0.004856 loss_rpn_loc: 0.001894 loss_D_img_s: 4.266e-06 time: 0.5812 last_time: 0.6512 data_time: 0.0185 last_data_time: 0.0119 lr: 0.01 max_mem: 8826M +[03/21 03:37:34] d2.utils.events INFO: eta: 4:59:10 iter: 18979 total_loss: 0.05625 loss_cls: 0.01423 loss_box_reg: 0.03369 loss_rpn_cls: 0.003396 loss_rpn_loc: 0.00181 loss_D_img_s: 4.106e-06 time: 0.5812 last_time: 0.5945 data_time: 0.0242 last_data_time: 0.0768 lr: 0.01 max_mem: 8826M +[03/21 03:37:46] d2.data.common INFO: Serializing the dataset using: +[03/21 03:37:46] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:37:46] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:37:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:37:46] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:37:48] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 03:39:52] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.877445 (0.126394 s / iter per device, on 1 devices) +[03/21 03:39:52] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073026 s / iter per device, on 1 devices) +[03/21 03:39:52] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:39:52] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:39:52] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:39:52] d2.evaluation.testing INFO: copypaste: 0.7341,2.4440,0.0000 +[03/21 03:39:52] d2.data.common INFO: Serializing the dataset using: +[03/21 03:39:52] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:39:52] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:39:52] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:39:52] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:39:56] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:03 +[03/21 03:41:56] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.317445 (0.123803 s / iter per device, on 1 devices) +[03/21 03:41:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072275 s / iter per device, on 1 devices) +[03/21 03:41:56] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:41:56] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:41:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:41:56] d2.evaluation.testing INFO: copypaste: 0.3533,1.7480,0.0832 +[03/21 03:41:56] d2.utils.events INFO: eta: 4:58:40 iter: 18999 total_loss: 0.04492 loss_cls: 0.01368 loss_box_reg: 0.02817 loss_rpn_cls: 0.004479 loss_rpn_loc: 0.0021 loss_D_img_s: 4.092e-06 time: 0.5812 last_time: 0.5718 data_time: 0.0164 last_data_time: 0.0096 lr: 0.01 max_mem: 8826M +[03/21 03:42:07] d2.utils.events INFO: eta: 4:58:22 iter: 19019 total_loss: 0.05576 loss_cls: 0.01389 loss_box_reg: 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ETA=0:00:02 +[03/21 03:53:43] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.189219 (0.125698 s / iter per device, on 1 devices) +[03/21 03:53:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073111 s / iter per device, on 1 devices) +[03/21 03:53:43] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:53:43] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:53:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:53:43] d2.evaluation.testing INFO: copypaste: 0.3189,1.7975,0.1263 +[03/21 03:53:43] d2.data.common INFO: Serializing the dataset using: +[03/21 03:53:43] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 03:53:43] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 03:53:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 03:53:43] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 03:53:46] d2.evaluation.evaluator INFO: Inference done 16/993. 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ETA=0:00:00 +[03/21 03:55:49] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.159793 (0.125668 s / iter per device, on 1 devices) +[03/21 03:55:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.071909 s / iter per device, on 1 devices) +[03/21 03:55:49] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 03:55:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 03:55:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 03:55:49] d2.evaluation.testing INFO: copypaste: 0.3087,1.5102,0.0706 +[03/21 03:55:49] d2.utils.events INFO: eta: 4:49:25 iter: 19999 total_loss: 0.05005 loss_cls: 0.01492 loss_box_reg: 0.03171 loss_rpn_cls: 0.005978 loss_rpn_loc: 0.001805 loss_D_img_s: 4.519e-06 time: 0.5811 last_time: 0.5609 data_time: 0.0169 last_data_time: 0.0098 lr: 0.01 max_mem: 8826M +[03/21 03:56:17] d2.utils.events INFO: eta: 4:49:48 iter: 20019 total_loss: 1.499 loss_cls: 0.01407 loss_box_reg: 0.03216 loss_rpn_cls: 0.005777 loss_rpn_loc: 0.001996 loss_D_img_s: 0.6333 loss_cls_pseudo: 0.01216 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006075 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7567 time: 0.5819 last_time: 1.4809 data_time: 0.0222 last_data_time: 0.0116 lr: 0.01 max_mem: 20422M +[03/21 03:56:45] d2.utils.events INFO: eta: 4:50:17 iter: 20039 total_loss: 1.451 loss_cls: 0.01235 loss_box_reg: 0.02999 loss_rpn_cls: 0.004065 loss_rpn_loc: 0.002117 loss_D_img_s: 0.6675 loss_cls_pseudo: 0.007264 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002143 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7194 time: 0.5827 last_time: 1.9629 data_time: 0.0162 last_data_time: 0.0195 lr: 0.01 max_mem: 20422M +[03/21 03:57:13] d2.utils.events INFO: eta: 4:50:52 iter: 20059 total_loss: 1.465 loss_cls: 0.01562 loss_box_reg: 0.03562 loss_rpn_cls: 0.004791 loss_rpn_loc: 0.001927 loss_D_img_s: 0.6697 loss_cls_pseudo: 0.00983 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003281 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7172 time: 0.5835 last_time: 1.3298 data_time: 0.0238 last_data_time: 0.0117 lr: 0.01 max_mem: 20422M +[03/21 03:57:42] d2.utils.events INFO: eta: 4:51:04 iter: 20079 total_loss: 1.447 loss_cls: 0.01222 loss_box_reg: 0.03102 loss_rpn_cls: 0.004587 loss_rpn_loc: 0.001808 loss_D_img_s: 0.6731 loss_cls_pseudo: 0.004528 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0014 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7139 time: 0.5844 last_time: 1.5547 data_time: 0.0190 last_data_time: 0.0109 lr: 0.01 max_mem: 20422M +[03/21 03:58:11] d2.utils.events INFO: eta: 4:51:35 iter: 20099 total_loss: 1.484 loss_cls: 0.01686 loss_box_reg: 0.03887 loss_rpn_cls: 0.005414 loss_rpn_loc: 0.001828 loss_D_img_s: 0.676 loss_cls_pseudo: 0.01114 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002809 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7106 time: 0.5853 last_time: 1.5379 data_time: 0.0156 last_data_time: 0.0096 lr: 0.01 max_mem: 20422M +[03/21 03:58:41] d2.utils.events INFO: eta: 4:52:31 iter: 20119 total_loss: 1.465 loss_cls: 0.02026 loss_box_reg: 0.0342 loss_rpn_cls: 0.0073 loss_rpn_loc: 0.001982 loss_D_img_s: 0.6791 loss_cls_pseudo: 0.006948 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002514 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7076 time: 0.5862 last_time: 1.4740 data_time: 0.0192 last_data_time: 0.0165 lr: 0.01 max_mem: 20422M +[03/21 03:59:11] d2.utils.events INFO: eta: 4:52:46 iter: 20139 total_loss: 1.466 loss_cls: 0.01906 loss_box_reg: 0.03774 loss_rpn_cls: 0.006332 loss_rpn_loc: 0.002299 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.00671 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00293 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7052 time: 0.5871 last_time: 1.6026 data_time: 0.0205 last_data_time: 0.0160 lr: 0.01 max_mem: 20422M +[03/21 03:59:40] d2.utils.events INFO: eta: 4:53:14 iter: 20159 total_loss: 1.457 loss_cls: 0.01335 loss_box_reg: 0.02471 loss_rpn_cls: 0.004511 loss_rpn_loc: 0.001838 loss_D_img_s: 0.6831 loss_cls_pseudo: 0.01346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00497 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7032 time: 0.5879 last_time: 1.3487 data_time: 0.0239 last_data_time: 0.0164 lr: 0.01 max_mem: 20422M +[03/21 04:00:09] d2.utils.events INFO: eta: 4:53:51 iter: 20179 total_loss: 1.473 loss_cls: 0.01362 loss_box_reg: 0.02976 loss_rpn_cls: 0.006903 loss_rpn_loc: 0.002214 loss_D_img_s: 0.6847 loss_cls_pseudo: 0.0103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006936 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7018 time: 0.5888 last_time: 1.4029 data_time: 0.0239 last_data_time: 0.0492 lr: 0.01 max_mem: 20422M +[03/21 04:00:39] d2.utils.events INFO: eta: 4:54:09 iter: 20199 total_loss: 1.459 loss_cls: 0.01524 loss_box_reg: 0.03879 loss_rpn_cls: 0.004756 loss_rpn_loc: 0.002185 loss_D_img_s: 0.6859 loss_cls_pseudo: 0.009512 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002181 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7006 time: 0.5897 last_time: 1.5722 data_time: 0.0364 last_data_time: 0.0172 lr: 0.01 max_mem: 20422M +[03/21 04:01:08] d2.utils.events INFO: eta: 4:54:49 iter: 20219 total_loss: 1.484 loss_cls: 0.01998 loss_box_reg: 0.04186 loss_rpn_cls: 0.005351 loss_rpn_loc: 0.002201 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.01236 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003044 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6995 time: 0.5906 last_time: 1.5994 data_time: 0.0192 last_data_time: 0.0106 lr: 0.01 max_mem: 20422M +[03/21 04:01:37] d2.utils.events INFO: eta: 4:55:04 iter: 20239 total_loss: 1.46 loss_cls: 0.01475 loss_box_reg: 0.03265 loss_rpn_cls: 0.004535 loss_rpn_loc: 0.001542 loss_D_img_s: 0.6878 loss_cls_pseudo: 0.0162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002346 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6985 time: 0.5914 last_time: 1.3960 data_time: 0.0246 last_data_time: 0.0270 lr: 0.01 max_mem: 20422M +[03/21 04:02:08] d2.utils.events INFO: eta: 4:55:21 iter: 20259 total_loss: 1.462 loss_cls: 0.01421 loss_box_reg: 0.02634 loss_rpn_cls: 0.003931 loss_rpn_loc: 0.001688 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.01568 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006596 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 0.5923 last_time: 1.5082 data_time: 0.0392 last_data_time: 0.0259 lr: 0.01 max_mem: 20422M +[03/21 04:02:38] d2.utils.events INFO: eta: 4:56:17 iter: 20279 total_loss: 1.475 loss_cls: 0.01888 loss_box_reg: 0.03208 loss_rpn_cls: 0.007102 loss_rpn_loc: 0.002019 loss_D_img_s: 0.6895 loss_cls_pseudo: 0.01897 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007855 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6968 time: 0.5932 last_time: 1.4250 data_time: 0.0204 last_data_time: 0.0132 lr: 0.01 max_mem: 20422M +[03/21 04:03:07] d2.utils.events INFO: eta: 4:57:16 iter: 20299 total_loss: 1.462 loss_cls: 0.01467 loss_box_reg: 0.036 loss_rpn_cls: 0.005945 loss_rpn_loc: 0.002284 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.01398 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003742 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6961 time: 0.5941 last_time: 1.4245 data_time: 0.0226 last_data_time: 0.0208 lr: 0.01 max_mem: 20422M +[03/21 04:03:37] d2.utils.events INFO: eta: 4:58:59 iter: 20319 total_loss: 1.46 loss_cls: 0.01465 loss_box_reg: 0.04135 loss_rpn_cls: 0.004222 loss_rpn_loc: 0.001984 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.007729 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004635 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6955 time: 0.5950 last_time: 1.7255 data_time: 0.0211 last_data_time: 0.0117 lr: 0.01 max_mem: 20422M +[03/21 04:04:07] d2.utils.events INFO: eta: 4:59:46 iter: 20339 total_loss: 1.468 loss_cls: 0.01481 loss_box_reg: 0.03196 loss_rpn_cls: 0.005981 loss_rpn_loc: 0.001678 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.01338 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 0.5959 last_time: 1.6536 data_time: 0.0238 last_data_time: 0.0113 lr: 0.01 max_mem: 20422M +[03/21 04:04:36] d2.utils.events INFO: eta: 5:01:20 iter: 20359 total_loss: 1.489 loss_cls: 0.02389 loss_box_reg: 0.04796 loss_rpn_cls: 0.005296 loss_rpn_loc: 0.001934 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.007256 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 0.5967 last_time: 1.3556 data_time: 0.0208 last_data_time: 0.0161 lr: 0.01 max_mem: 20422M +[03/21 04:05:04] d2.utils.events INFO: eta: 5:02:48 iter: 20379 total_loss: 1.466 loss_cls: 0.01571 loss_box_reg: 0.03733 loss_rpn_cls: 0.005068 loss_rpn_loc: 0.001895 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.008564 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001481 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 0.5975 last_time: 1.3030 data_time: 0.0195 last_data_time: 0.0242 lr: 0.01 max_mem: 20422M +[03/21 04:05:34] d2.utils.events INFO: eta: 5:05:32 iter: 20399 total_loss: 1.456 loss_cls: 0.01808 loss_box_reg: 0.02666 loss_rpn_cls: 0.007585 loss_rpn_loc: 0.00203 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.0112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 0.5984 last_time: 1.5844 data_time: 0.0197 last_data_time: 0.0314 lr: 0.01 max_mem: 20422M +[03/21 04:06:03] d2.utils.events INFO: eta: 5:07:37 iter: 20419 total_loss: 1.456 loss_cls: 0.01605 loss_box_reg: 0.02739 loss_rpn_cls: 0.005296 loss_rpn_loc: 0.002064 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.007534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004244 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 0.5992 last_time: 1.3702 data_time: 0.0142 last_data_time: 0.0132 lr: 0.01 max_mem: 20422M +[03/21 04:06:32] d2.utils.events INFO: eta: 5:09:41 iter: 20439 total_loss: 1.469 loss_cls: 0.01565 loss_box_reg: 0.03552 loss_rpn_cls: 0.004419 loss_rpn_loc: 0.002898 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.01063 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002741 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 0.6000 last_time: 1.4550 data_time: 0.0190 last_data_time: 0.0246 lr: 0.01 max_mem: 20422M +[03/21 04:07:01] d2.utils.events INFO: eta: 5:12:57 iter: 20459 total_loss: 1.452 loss_cls: 0.01281 loss_box_reg: 0.02975 loss_rpn_cls: 0.005745 loss_rpn_loc: 0.001412 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.006389 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001559 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 0.6009 last_time: 1.3732 data_time: 0.0194 last_data_time: 0.0160 lr: 0.01 max_mem: 20422M +[03/21 04:07:31] d2.utils.events INFO: eta: 5:20:04 iter: 20479 total_loss: 1.46 loss_cls: 0.01296 loss_box_reg: 0.04133 loss_rpn_cls: 0.004569 loss_rpn_loc: 0.001827 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.008049 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002259 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 0.6018 last_time: 1.4614 data_time: 0.0202 last_data_time: 0.0110 lr: 0.01 max_mem: 20422M +[03/21 04:08:01] d2.utils.events INFO: eta: 8:44:17 iter: 20499 total_loss: 1.455 loss_cls: 0.01246 loss_box_reg: 0.03144 loss_rpn_cls: 0.004222 loss_rpn_loc: 0.002256 loss_D_img_s: 0.693 loss_cls_pseudo: 0.008072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003279 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.6026 last_time: 1.3388 data_time: 0.0240 last_data_time: 0.0293 lr: 0.01 max_mem: 20422M +[03/21 04:08:30] d2.utils.events INFO: eta: 10:24:29 iter: 20519 total_loss: 1.455 loss_cls: 0.0128 loss_box_reg: 0.02693 loss_rpn_cls: 0.003841 loss_rpn_loc: 0.001677 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.012 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002462 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.6034 last_time: 1.4785 data_time: 0.0159 last_data_time: 0.0250 lr: 0.01 max_mem: 20422M +[03/21 04:08:59] d2.utils.events INFO: eta: 10:44:23 iter: 20539 total_loss: 1.463 loss_cls: 0.01601 loss_box_reg: 0.03243 loss_rpn_cls: 0.004181 loss_rpn_loc: 0.002302 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01237 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003008 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.6043 last_time: 1.3875 data_time: 0.0191 last_data_time: 0.0184 lr: 0.01 max_mem: 20422M +[03/21 04:09:29] d2.utils.events INFO: eta: 10:55:33 iter: 20559 total_loss: 1.461 loss_cls: 0.01215 loss_box_reg: 0.03403 loss_rpn_cls: 0.004168 loss_rpn_loc: 0.001848 loss_D_img_s: 0.693 loss_cls_pseudo: 0.01095 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002972 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6051 last_time: 1.3419 data_time: 0.0201 last_data_time: 0.0106 lr: 0.01 max_mem: 20422M +[03/21 04:09:58] d2.utils.events INFO: eta: 11:00:39 iter: 20579 total_loss: 1.459 loss_cls: 0.01384 loss_box_reg: 0.03265 loss_rpn_cls: 0.004638 loss_rpn_loc: 0.001901 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.003355 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0008397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.6060 last_time: 1.4505 data_time: 0.0192 last_data_time: 0.0126 lr: 0.01 max_mem: 20422M +[03/21 04:10:27] d2.utils.events INFO: eta: 11:06:37 iter: 20599 total_loss: 1.457 loss_cls: 0.01219 loss_box_reg: 0.0286 loss_rpn_cls: 0.005508 loss_rpn_loc: 0.001867 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01058 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003009 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.6068 last_time: 1.4172 data_time: 0.0203 last_data_time: 0.0384 lr: 0.01 max_mem: 20422M +[03/21 04:10:56] d2.utils.events INFO: eta: 11:12:29 iter: 20619 total_loss: 1.46 loss_cls: 0.01507 loss_box_reg: 0.02956 loss_rpn_cls: 0.005314 loss_rpn_loc: 0.001979 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.009978 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003721 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6076 last_time: 1.4611 data_time: 0.0252 last_data_time: 0.0394 lr: 0.01 max_mem: 20422M +[03/21 04:11:26] d2.utils.events INFO: eta: 11:17:05 iter: 20639 total_loss: 1.47 loss_cls: 0.0191 loss_box_reg: 0.03306 loss_rpn_cls: 0.005609 loss_rpn_loc: 0.00218 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.01306 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002665 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.6085 last_time: 1.2945 data_time: 0.0232 last_data_time: 0.0091 lr: 0.01 max_mem: 20422M +[03/21 04:11:56] d2.utils.events INFO: eta: 11:20:11 iter: 20659 total_loss: 1.455 loss_cls: 0.01635 loss_box_reg: 0.03059 loss_rpn_cls: 0.004322 loss_rpn_loc: 0.001693 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.007228 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001573 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6093 last_time: 1.4252 data_time: 0.0182 last_data_time: 0.0248 lr: 0.01 max_mem: 20422M +[03/21 04:12:26] d2.utils.events INFO: eta: 11:23:22 iter: 20679 total_loss: 1.466 loss_cls: 0.01366 loss_box_reg: 0.03653 loss_rpn_cls: 0.004218 loss_rpn_loc: 0.001754 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.01339 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004767 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.6102 last_time: 1.3488 data_time: 0.0181 last_data_time: 0.0266 lr: 0.01 max_mem: 20422M +[03/21 04:12:56] d2.utils.events INFO: eta: 11:25:21 iter: 20699 total_loss: 1.474 loss_cls: 0.01788 loss_box_reg: 0.04023 loss_rpn_cls: 0.003412 loss_rpn_loc: 0.002034 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.01289 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002839 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6111 last_time: 1.5777 data_time: 0.0179 last_data_time: 0.0102 lr: 0.01 max_mem: 20422M +[03/21 04:13:25] d2.utils.events INFO: eta: 11:28:43 iter: 20719 total_loss: 1.471 loss_cls: 0.01209 loss_box_reg: 0.0327 loss_rpn_cls: 0.005297 loss_rpn_loc: 0.002044 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.0224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005221 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6119 last_time: 1.4453 data_time: 0.0176 last_data_time: 0.0286 lr: 0.01 max_mem: 20422M +[03/21 04:13:54] d2.utils.events INFO: eta: 11:31:32 iter: 20739 total_loss: 1.472 loss_cls: 0.01376 loss_box_reg: 0.03169 loss_rpn_cls: 0.005526 loss_rpn_loc: 0.002144 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.0135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00458 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6127 last_time: 1.4170 data_time: 0.0182 last_data_time: 0.0091 lr: 0.01 max_mem: 20422M +[03/21 04:14:24] d2.utils.events INFO: eta: 11:33:15 iter: 20759 total_loss: 1.462 loss_cls: 0.02283 loss_box_reg: 0.02934 loss_rpn_cls: 0.006289 loss_rpn_loc: 0.001898 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.00962 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00402 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6135 last_time: 1.5120 data_time: 0.0199 last_data_time: 0.0234 lr: 0.01 max_mem: 20422M +[03/21 04:14:53] d2.utils.events INFO: eta: 11:34:12 iter: 20779 total_loss: 1.474 loss_cls: 0.0162 loss_box_reg: 0.02925 loss_rpn_cls: 0.005285 loss_rpn_loc: 0.001588 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.01025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003484 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6143 last_time: 1.1230 data_time: 0.0231 last_data_time: 0.0370 lr: 0.01 max_mem: 20422M +[03/21 04:15:23] d2.utils.events INFO: eta: 11:36:07 iter: 20799 total_loss: 1.457 loss_cls: 0.01314 loss_box_reg: 0.02989 loss_rpn_cls: 0.00565 loss_rpn_loc: 0.002188 loss_D_img_s: 0.694 loss_cls_pseudo: 0.007803 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003992 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6152 last_time: 1.5913 data_time: 0.0187 last_data_time: 0.0106 lr: 0.01 max_mem: 20422M +[03/21 04:15:52] d2.utils.events INFO: eta: 11:37:39 iter: 20819 total_loss: 1.46 loss_cls: 0.01519 loss_box_reg: 0.02582 loss_rpn_cls: 0.005555 loss_rpn_loc: 0.001568 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.009333 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002122 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6160 last_time: 1.2648 data_time: 0.0225 last_data_time: 0.0397 lr: 0.01 max_mem: 20422M +[03/21 04:16:22] d2.utils.events INFO: eta: 11:38:53 iter: 20839 total_loss: 1.45 loss_cls: 0.01211 loss_box_reg: 0.03604 loss_rpn_cls: 0.004482 loss_rpn_loc: 0.002162 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.006265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002395 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6168 last_time: 1.4976 data_time: 0.0164 last_data_time: 0.0116 lr: 0.01 max_mem: 20422M +[03/21 04:16:52] d2.utils.events INFO: eta: 11:39:47 iter: 20859 total_loss: 1.471 loss_cls: 0.01496 loss_box_reg: 0.03174 loss_rpn_cls: 0.004655 loss_rpn_loc: 0.00182 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.008572 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002217 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6177 last_time: 1.6848 data_time: 0.0268 last_data_time: 0.0176 lr: 0.01 max_mem: 20422M +[03/21 04:17:21] d2.utils.events INFO: eta: 11:41:02 iter: 20879 total_loss: 1.474 loss_cls: 0.01871 loss_box_reg: 0.03401 loss_rpn_cls: 0.006359 loss_rpn_loc: 0.002678 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.0105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003782 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6185 last_time: 1.4225 data_time: 0.0183 last_data_time: 0.0398 lr: 0.01 max_mem: 20422M +[03/21 04:17:51] d2.utils.events INFO: eta: 11:42:15 iter: 20899 total_loss: 1.465 loss_cls: 0.02163 loss_box_reg: 0.03571 loss_rpn_cls: 0.006725 loss_rpn_loc: 0.001997 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.008985 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001885 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6193 last_time: 1.4293 data_time: 0.0173 last_data_time: 0.0122 lr: 0.01 max_mem: 20422M +[03/21 04:18:19] d2.utils.events INFO: eta: 11:42:28 iter: 20919 total_loss: 1.462 loss_cls: 0.01712 loss_box_reg: 0.03219 loss_rpn_cls: 0.00609 loss_rpn_loc: 0.001744 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.008229 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003003 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6201 last_time: 1.5114 data_time: 0.0221 last_data_time: 0.0195 lr: 0.01 max_mem: 20422M +[03/21 04:18:48] d2.utils.events INFO: eta: 11:43:07 iter: 20939 total_loss: 1.472 loss_cls: 0.01677 loss_box_reg: 0.03793 loss_rpn_cls: 0.005989 loss_rpn_loc: 0.002528 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.01034 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00314 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6208 last_time: 1.4893 data_time: 0.0215 last_data_time: 0.0189 lr: 0.01 max_mem: 20422M +[03/21 04:19:17] d2.utils.events INFO: eta: 11:43:49 iter: 20959 total_loss: 1.468 loss_cls: 0.01545 loss_box_reg: 0.03547 loss_rpn_cls: 0.00714 loss_rpn_loc: 0.002487 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01279 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003155 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6217 last_time: 1.5688 data_time: 0.0153 last_data_time: 0.0161 lr: 0.01 max_mem: 20422M +[03/21 04:19:48] d2.utils.events INFO: eta: 11:45:07 iter: 20979 total_loss: 1.491 loss_cls: 0.01802 loss_box_reg: 0.03903 loss_rpn_cls: 0.005869 loss_rpn_loc: 0.002137 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.01464 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005597 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6225 last_time: 1.6315 data_time: 0.0229 last_data_time: 0.0120 lr: 0.01 max_mem: 20422M +[03/21 04:20:17] d2.data.common INFO: Serializing the dataset using: +[03/21 04:20:17] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 04:20:17] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 04:20:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 04:20:17] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 04:20:20] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:02 +[03/21 04:22:19] d2.evaluation.evaluator INFO: Total inference time: 0:02:00.255888 (0.121716 s / iter per device, on 1 devices) +[03/21 04:22:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:09 (0.070686 s / iter per device, on 1 devices) +[03/21 04:22:19] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 04:22:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 04:22:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 04:22:19] d2.evaluation.testing INFO: copypaste: 0.3624,1.9101,0.0805 +[03/21 04:22:19] d2.data.common INFO: Serializing the dataset using: +[03/21 04:22:19] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 04:22:19] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 04:22:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 04:22:19] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 04:22:22] d2.evaluation.evaluator INFO: Inference done 14/993. 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ETA=0:00:04 +[03/21 04:24:24] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.972751 (0.124466 s / iter per device, on 1 devices) +[03/21 04:24:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072235 s / iter per device, on 1 devices) +[03/21 04:24:24] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 04:24:24] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 04:24:24] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 04:24:24] d2.evaluation.testing INFO: copypaste: 0.3925,1.4180,0.1918 +[03/21 04:24:24] d2.utils.events INFO: eta: 11:45:22 iter: 20999 total_loss: 1.462 loss_cls: 0.01716 loss_box_reg: 0.0338 loss_rpn_cls: 0.004336 loss_rpn_loc: 0.002224 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.01095 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003101 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6233 last_time: 1.5349 data_time: 0.0196 last_data_time: 0.0168 lr: 0.01 max_mem: 20422M +[03/21 04:24:51] d2.utils.events INFO: eta: 11:44:48 iter: 21019 total_loss: 1.471 loss_cls: 0.01412 loss_box_reg: 0.02827 loss_rpn_cls: 0.006811 loss_rpn_loc: 0.002291 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.01083 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00559 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.6240 last_time: 1.3944 data_time: 0.0189 last_data_time: 0.0347 lr: 0.01 max_mem: 20422M +[03/21 04:25:19] d2.utils.events INFO: eta: 11:44:24 iter: 21039 total_loss: 1.455 loss_cls: 0.01482 loss_box_reg: 0.03235 loss_rpn_cls: 0.004994 loss_rpn_loc: 0.001647 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.01573 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003793 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6248 last_time: 1.4799 data_time: 0.0148 last_data_time: 0.0097 lr: 0.01 max_mem: 20422M +[03/21 04:25:48] d2.utils.events INFO: eta: 11:44:55 iter: 21059 total_loss: 1.468 loss_cls: 0.01612 loss_box_reg: 0.033 loss_rpn_cls: 0.003737 loss_rpn_loc: 0.001682 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.01477 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003593 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.6256 last_time: 1.4959 data_time: 0.0193 last_data_time: 0.0117 lr: 0.01 max_mem: 20422M +[03/21 04:26:17] d2.utils.events INFO: eta: 11:44:11 iter: 21079 total_loss: 1.452 loss_cls: 0.01464 loss_box_reg: 0.0323 loss_rpn_cls: 0.006704 loss_rpn_loc: 0.002242 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.009226 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001651 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.6263 last_time: 1.5155 data_time: 0.0202 last_data_time: 0.0183 lr: 0.01 max_mem: 20422M +[03/21 04:26:46] d2.utils.events INFO: eta: 11:43:52 iter: 21099 total_loss: 1.471 loss_cls: 0.01275 loss_box_reg: 0.02853 loss_rpn_cls: 0.005535 loss_rpn_loc: 0.00208 loss_D_img_s: 0.693 loss_cls_pseudo: 0.01429 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002761 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.6271 last_time: 1.5771 data_time: 0.0158 last_data_time: 0.0128 lr: 0.01 max_mem: 20422M +[03/21 04:27:16] d2.utils.events INFO: eta: 11:43:28 iter: 21119 total_loss: 1.46 loss_cls: 0.01528 loss_box_reg: 0.03498 loss_rpn_cls: 0.004391 loss_rpn_loc: 0.001772 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.008557 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002732 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 0.6279 last_time: 1.4145 data_time: 0.0248 last_data_time: 0.0260 lr: 0.01 max_mem: 20422M +[03/21 04:27:45] d2.utils.events INFO: eta: 11:42:21 iter: 21139 total_loss: 1.446 loss_cls: 0.01577 loss_box_reg: 0.03005 loss_rpn_cls: 0.006025 loss_rpn_loc: 0.001723 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.009728 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002051 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6287 last_time: 1.4325 data_time: 0.0223 last_data_time: 0.0112 lr: 0.01 max_mem: 20422M +[03/21 04:28:14] d2.utils.events INFO: eta: 11:41:37 iter: 21159 total_loss: 1.467 loss_cls: 0.01445 loss_box_reg: 0.04006 loss_rpn_cls: 0.005356 loss_rpn_loc: 0.00201 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.008224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002327 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6295 last_time: 1.4101 data_time: 0.0190 last_data_time: 0.0313 lr: 0.01 max_mem: 20422M +[03/21 04:28:43] d2.utils.events INFO: eta: 11:40:47 iter: 21179 total_loss: 1.46 loss_cls: 0.01337 loss_box_reg: 0.03263 loss_rpn_cls: 0.004493 loss_rpn_loc: 0.00151 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.0122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003368 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.6303 last_time: 1.5271 data_time: 0.0195 last_data_time: 0.0330 lr: 0.01 max_mem: 20422M +[03/21 04:29:13] d2.utils.events INFO: eta: 11:40:17 iter: 21199 total_loss: 1.467 loss_cls: 0.01627 loss_box_reg: 0.03491 loss_rpn_cls: 0.004359 loss_rpn_loc: 0.00183 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.01281 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002705 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.6311 last_time: 1.5724 data_time: 0.0160 last_data_time: 0.0103 lr: 0.01 max_mem: 20422M +[03/21 04:29:42] d2.utils.events INFO: eta: 11:39:45 iter: 21219 total_loss: 1.447 loss_cls: 0.01166 loss_box_reg: 0.0288 loss_rpn_cls: 0.006356 loss_rpn_loc: 0.001954 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.008037 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003359 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6319 last_time: 1.5120 data_time: 0.0170 last_data_time: 0.0099 lr: 0.01 max_mem: 20422M +[03/21 04:30:13] d2.utils.events INFO: eta: 11:39:22 iter: 21239 total_loss: 1.46 loss_cls: 0.01115 loss_box_reg: 0.03524 loss_rpn_cls: 0.002892 loss_rpn_loc: 0.001542 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.009525 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004737 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6327 last_time: 1.6266 data_time: 0.0206 last_data_time: 0.0157 lr: 0.01 max_mem: 20422M +[03/21 04:30:42] d2.utils.events INFO: eta: 11:38:32 iter: 21259 total_loss: 1.46 loss_cls: 0.01527 loss_box_reg: 0.0349 loss_rpn_cls: 0.005412 loss_rpn_loc: 0.001794 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.01334 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004083 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6335 last_time: 1.3255 data_time: 0.0146 last_data_time: 0.0148 lr: 0.01 max_mem: 20422M +[03/21 04:31:11] d2.utils.events INFO: eta: 11:37:58 iter: 21279 total_loss: 1.472 loss_cls: 0.01922 loss_box_reg: 0.03679 loss_rpn_cls: 0.004135 loss_rpn_loc: 0.001714 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.01191 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002937 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6343 last_time: 1.4674 data_time: 0.0154 last_data_time: 0.0144 lr: 0.01 max_mem: 20422M +[03/21 04:31:41] d2.utils.events INFO: eta: 11:37:48 iter: 21299 total_loss: 1.451 loss_cls: 0.01396 loss_box_reg: 0.0283 loss_rpn_cls: 0.006782 loss_rpn_loc: 0.002166 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.008168 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001966 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6351 last_time: 1.3535 data_time: 0.0165 last_data_time: 0.0154 lr: 0.01 max_mem: 20422M +[03/21 04:32:10] d2.utils.events INFO: eta: 11:37:19 iter: 21319 total_loss: 1.447 loss_cls: 0.01026 loss_box_reg: 0.02491 loss_rpn_cls: 0.004319 loss_rpn_loc: 0.001451 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01014 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004263 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6358 last_time: 1.4334 data_time: 0.0165 last_data_time: 0.0184 lr: 0.01 max_mem: 20422M +[03/21 04:32:39] d2.utils.events INFO: eta: 11:36:43 iter: 21339 total_loss: 1.47 loss_cls: 0.01751 loss_box_reg: 0.03729 loss_rpn_cls: 0.004195 loss_rpn_loc: 0.001841 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.00963 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002741 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6366 last_time: 1.6593 data_time: 0.0181 last_data_time: 0.0094 lr: 0.01 max_mem: 20422M +[03/21 04:33:09] d2.utils.events INFO: eta: 11:36:30 iter: 21359 total_loss: 1.47 loss_cls: 0.01919 loss_box_reg: 0.03421 loss_rpn_cls: 0.005485 loss_rpn_loc: 0.002359 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.006805 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002418 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6374 last_time: 1.6125 data_time: 0.0179 last_data_time: 0.0378 lr: 0.01 max_mem: 20422M +[03/21 04:33:37] d2.utils.events INFO: eta: 11:36:38 iter: 21379 total_loss: 1.467 loss_cls: 0.01518 loss_box_reg: 0.03384 loss_rpn_cls: 0.005622 loss_rpn_loc: 0.002628 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.01277 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003691 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6381 last_time: 1.4878 data_time: 0.0160 last_data_time: 0.0115 lr: 0.01 max_mem: 20422M +[03/21 04:34:06] d2.utils.events INFO: eta: 11:35:31 iter: 21399 total_loss: 1.462 loss_cls: 0.01533 loss_box_reg: 0.02695 loss_rpn_cls: 0.004763 loss_rpn_loc: 0.001781 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01293 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003942 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6389 last_time: 1.3966 data_time: 0.0144 last_data_time: 0.0106 lr: 0.01 max_mem: 20422M +[03/21 04:34:35] d2.utils.events INFO: eta: 11:35:24 iter: 21419 total_loss: 1.47 loss_cls: 0.01213 loss_box_reg: 0.03489 loss_rpn_cls: 0.002001 loss_rpn_loc: 0.001524 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.008906 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003451 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.6396 last_time: 1.4063 data_time: 0.0181 last_data_time: 0.0249 lr: 0.01 max_mem: 20422M +[03/21 04:35:05] d2.utils.events INFO: eta: 11:35:33 iter: 21439 total_loss: 1.466 loss_cls: 0.01198 loss_box_reg: 0.03378 loss_rpn_cls: 0.00343 loss_rpn_loc: 0.00179 loss_D_img_s: 0.693 loss_cls_pseudo: 0.01644 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6404 last_time: 1.4837 data_time: 0.0226 last_data_time: 0.0114 lr: 0.01 max_mem: 20422M +[03/21 04:35:34] d2.utils.events INFO: eta: 11:35:01 iter: 21459 total_loss: 1.464 loss_cls: 0.01972 loss_box_reg: 0.03018 loss_rpn_cls: 0.005437 loss_rpn_loc: 0.001597 loss_D_img_s: 0.693 loss_cls_pseudo: 0.01265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001625 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 0.6412 last_time: 1.3148 data_time: 0.0180 last_data_time: 0.0165 lr: 0.01 max_mem: 20422M +[03/21 04:36:03] d2.utils.events INFO: eta: 11:35:03 iter: 21479 total_loss: 1.477 loss_cls: 0.01621 loss_box_reg: 0.03217 loss_rpn_cls: 0.006154 loss_rpn_loc: 0.002139 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01555 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6419 last_time: 1.5184 data_time: 0.0227 last_data_time: 0.0137 lr: 0.01 max_mem: 20422M +[03/21 04:36:33] d2.utils.events INFO: eta: 11:35:08 iter: 21499 total_loss: 1.471 loss_cls: 0.01939 loss_box_reg: 0.03957 loss_rpn_cls: 0.006934 loss_rpn_loc: 0.002958 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.007354 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002115 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6427 last_time: 1.4994 data_time: 0.0185 last_data_time: 0.0102 lr: 0.01 max_mem: 20422M +[03/21 04:37:02] d2.utils.events INFO: eta: 11:34:39 iter: 21519 total_loss: 1.462 loss_cls: 0.0123 loss_box_reg: 0.02845 loss_rpn_cls: 0.005514 loss_rpn_loc: 0.002192 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.009701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004116 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.6435 last_time: 1.3663 data_time: 0.0193 last_data_time: 0.0086 lr: 0.01 max_mem: 20422M +[03/21 04:37:31] d2.utils.events INFO: eta: 11:33:49 iter: 21539 total_loss: 1.481 loss_cls: 0.01594 loss_box_reg: 0.03705 loss_rpn_cls: 0.004812 loss_rpn_loc: 0.002353 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01912 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007786 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6442 last_time: 1.4753 data_time: 0.0147 last_data_time: 0.0150 lr: 0.01 max_mem: 20422M +[03/21 04:38:01] d2.utils.events INFO: eta: 11:33:40 iter: 21559 total_loss: 1.471 loss_cls: 0.02018 loss_box_reg: 0.03217 loss_rpn_cls: 0.006097 loss_rpn_loc: 0.002801 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.006272 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001346 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6450 last_time: 1.6351 data_time: 0.0208 last_data_time: 0.0093 lr: 0.01 max_mem: 20422M +[03/21 04:38:29] d2.utils.events INFO: eta: 11:32:37 iter: 21579 total_loss: 1.461 loss_cls: 0.01397 loss_box_reg: 0.02922 loss_rpn_cls: 0.003719 loss_rpn_loc: 0.00146 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01359 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006366 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6457 last_time: 1.4063 data_time: 0.0199 last_data_time: 0.0373 lr: 0.01 max_mem: 20422M +[03/21 04:38:58] d2.utils.events INFO: eta: 11:31:49 iter: 21599 total_loss: 1.453 loss_cls: 0.01466 loss_box_reg: 0.02903 loss_rpn_cls: 0.00557 loss_rpn_loc: 0.001876 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.009251 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003558 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6465 last_time: 1.4383 data_time: 0.0207 last_data_time: 0.0095 lr: 0.01 max_mem: 20422M +[03/21 04:39:27] d2.utils.events INFO: eta: 11:31:26 iter: 21619 total_loss: 1.453 loss_cls: 0.01216 loss_box_reg: 0.03298 loss_rpn_cls: 0.003997 loss_rpn_loc: 0.001779 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.007004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001253 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6472 last_time: 1.6013 data_time: 0.0156 last_data_time: 0.0101 lr: 0.01 max_mem: 20422M +[03/21 04:39:57] d2.utils.events INFO: eta: 11:30:51 iter: 21639 total_loss: 1.463 loss_cls: 0.01749 loss_box_reg: 0.03799 loss_rpn_cls: 0.005091 loss_rpn_loc: 0.00312 loss_D_img_s: 0.694 loss_cls_pseudo: 0.01265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003396 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.6480 last_time: 1.4650 data_time: 0.0169 last_data_time: 0.0167 lr: 0.01 max_mem: 20422M +[03/21 04:40:26] d2.utils.events INFO: eta: 11:30:01 iter: 21659 total_loss: 1.474 loss_cls: 0.01724 loss_box_reg: 0.03074 loss_rpn_cls: 0.007101 loss_rpn_loc: 0.002137 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.01004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001752 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 0.6487 last_time: 1.3332 data_time: 0.0201 last_data_time: 0.0132 lr: 0.01 max_mem: 20422M +[03/21 04:40:56] d2.utils.events INFO: eta: 11:29:24 iter: 21679 total_loss: 1.461 loss_cls: 0.01308 loss_box_reg: 0.03382 loss_rpn_cls: 0.00441 loss_rpn_loc: 0.001454 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.008981 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00233 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6495 last_time: 1.4364 data_time: 0.0191 last_data_time: 0.0088 lr: 0.01 max_mem: 20422M +[03/21 04:41:24] d2.utils.events INFO: eta: 11:27:59 iter: 21699 total_loss: 1.472 loss_cls: 0.01584 loss_box_reg: 0.03629 loss_rpn_cls: 0.004686 loss_rpn_loc: 0.002071 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.008078 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002312 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.6502 last_time: 1.3684 data_time: 0.0178 last_data_time: 0.0101 lr: 0.01 max_mem: 20422M +[03/21 04:41:53] d2.utils.events INFO: eta: 11:27:16 iter: 21719 total_loss: 1.466 loss_cls: 0.01905 loss_box_reg: 0.03647 loss_rpn_cls: 0.005666 loss_rpn_loc: 0.002234 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.009159 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001973 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 0.6510 last_time: 1.6193 data_time: 0.0175 last_data_time: 0.0104 lr: 0.01 max_mem: 20422M +[03/21 04:42:23] d2.utils.events INFO: eta: 11:26:47 iter: 21739 total_loss: 1.459 loss_cls: 0.01668 loss_box_reg: 0.03181 loss_rpn_cls: 0.003248 loss_rpn_loc: 0.002237 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.0106 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00442 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6517 last_time: 1.4326 data_time: 0.0158 last_data_time: 0.0097 lr: 0.01 max_mem: 20422M +[03/21 04:42:52] d2.utils.events INFO: eta: 11:26:03 iter: 21759 total_loss: 1.456 loss_cls: 0.01162 loss_box_reg: 0.02766 loss_rpn_cls: 0.004024 loss_rpn_loc: 0.001571 loss_D_img_s: 0.694 loss_cls_pseudo: 0.00954 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001952 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.6524 last_time: 1.3907 data_time: 0.0211 last_data_time: 0.0113 lr: 0.01 max_mem: 20422M +[03/21 04:43:21] d2.utils.events INFO: eta: 11:24:56 iter: 21779 total_loss: 1.463 loss_cls: 0.01641 loss_box_reg: 0.03809 loss_rpn_cls: 0.004449 loss_rpn_loc: 0.001391 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.007686 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6532 last_time: 1.4033 data_time: 0.0171 last_data_time: 0.0130 lr: 0.01 max_mem: 20422M +[03/21 04:43:50] d2.utils.events INFO: eta: 11:24:43 iter: 21799 total_loss: 1.459 loss_cls: 0.01333 loss_box_reg: 0.03211 loss_rpn_cls: 0.005552 loss_rpn_loc: 0.002123 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.01238 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003043 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 0.6539 last_time: 1.4791 data_time: 0.0162 last_data_time: 0.0118 lr: 0.01 max_mem: 20422M +[03/21 04:44:20] d2.utils.events INFO: eta: 11:24:31 iter: 21819 total_loss: 1.455 loss_cls: 0.01842 loss_box_reg: 0.03029 loss_rpn_cls: 0.006345 loss_rpn_loc: 0.001922 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.007971 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002193 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6547 last_time: 1.4818 data_time: 0.0174 last_data_time: 0.0129 lr: 0.01 max_mem: 20422M +[03/21 04:44:50] d2.utils.events INFO: eta: 11:24:07 iter: 21839 total_loss: 1.477 loss_cls: 0.01432 loss_box_reg: 0.03582 loss_rpn_cls: 0.004641 loss_rpn_loc: 0.00199 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.01725 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0052 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6555 last_time: 1.4871 data_time: 0.0166 last_data_time: 0.0286 lr: 0.01 max_mem: 20422M +[03/21 04:45:19] d2.utils.events INFO: eta: 11:23:00 iter: 21859 total_loss: 1.462 loss_cls: 0.01331 loss_box_reg: 0.02956 loss_rpn_cls: 0.003537 loss_rpn_loc: 0.001705 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.01233 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002124 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 0.6562 last_time: 1.5903 data_time: 0.0172 last_data_time: 0.0094 lr: 0.01 max_mem: 20422M +[03/21 04:45:49] d2.utils.events INFO: eta: 11:23:09 iter: 21879 total_loss: 1.46 loss_cls: 0.01427 loss_box_reg: 0.0348 loss_rpn_cls: 0.004676 loss_rpn_loc: 0.002177 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01169 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003604 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 0.6570 last_time: 1.3749 data_time: 0.0170 last_data_time: 0.0138 lr: 0.01 max_mem: 20422M +[03/21 04:46:19] d2.utils.events INFO: eta: 11:22:43 iter: 21899 total_loss: 1.481 loss_cls: 0.01906 loss_box_reg: 0.04083 loss_rpn_cls: 0.004743 loss_rpn_loc: 0.002037 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.0162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 0.6577 last_time: 1.6003 data_time: 0.0255 last_data_time: 0.0115 lr: 0.01 max_mem: 20422M +[03/21 04:46:47] d2.utils.events INFO: eta: 11:22:07 iter: 21919 total_loss: 1.452 loss_cls: 0.0162 loss_box_reg: 0.03315 loss_rpn_cls: 0.005197 loss_rpn_loc: 0.001693 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.005406 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002472 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 0.6584 last_time: 1.3924 data_time: 0.0204 last_data_time: 0.0118 lr: 0.01 max_mem: 20422M +[03/21 04:47:17] d2.utils.events INFO: eta: 11:21:47 iter: 21939 total_loss: 1.462 loss_cls: 0.01053 loss_box_reg: 0.02528 loss_rpn_cls: 0.003188 loss_rpn_loc: 0.001706 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.01988 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003891 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6592 last_time: 1.6315 data_time: 0.0234 last_data_time: 0.0259 lr: 0.01 max_mem: 20422M +[03/21 04:47:45] d2.utils.events INFO: eta: 11:21:12 iter: 21959 total_loss: 1.466 loss_cls: 0.01353 loss_box_reg: 0.03445 loss_rpn_cls: 0.004406 loss_rpn_loc: 0.002417 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.0152 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005748 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.6599 last_time: 1.2257 data_time: 0.0172 last_data_time: 0.0114 lr: 0.01 max_mem: 20422M +[03/21 04:48:14] d2.utils.events INFO: eta: 11:19:50 iter: 21979 total_loss: 1.476 loss_cls: 0.01544 loss_box_reg: 0.03478 loss_rpn_cls: 0.004813 loss_rpn_loc: 0.001677 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.0126 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00395 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 0.6606 last_time: 1.5034 data_time: 0.0189 last_data_time: 0.0268 lr: 0.01 max_mem: 20423M +[03/21 04:48:44] d2.data.common INFO: Serializing the dataset using: +[03/21 04:48:44] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 04:48:44] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 04:48:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 04:48:44] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 04:48:47] d2.evaluation.evaluator INFO: Inference done 11/993. Dataloading: 0.0769 s/iter. Inference: 0.0751 s/iter. Eval: 0.0002 s/iter. Total: 0.1522 s/iter. ETA=0:02:29 +[03/21 04:48:52] d2.evaluation.evaluator INFO: Inference done 56/993. Dataloading: 0.0532 s/iter. Inference: 0.0664 s/iter. Eval: 0.0001 s/iter. Total: 0.1198 s/iter. ETA=0:01:52 +[03/21 04:48:57] d2.evaluation.evaluator INFO: Inference done 96/993. Dataloading: 0.0523 s/iter. Inference: 0.0701 s/iter. Eval: 0.0002 s/iter. Total: 0.1227 s/iter. ETA=0:01:50 +[03/21 04:49:02] d2.evaluation.evaluator INFO: Inference done 140/993. Dataloading: 0.0503 s/iter. Inference: 0.0705 s/iter. Eval: 0.0002 s/iter. Total: 0.1210 s/iter. ETA=0:01:43 +[03/21 04:49:08] d2.evaluation.evaluator INFO: Inference done 182/993. Dataloading: 0.0507 s/iter. Inference: 0.0704 s/iter. Eval: 0.0002 s/iter. Total: 0.1214 s/iter. ETA=0:01:38 +[03/21 04:49:13] d2.evaluation.evaluator INFO: Inference done 224/993. Dataloading: 0.0491 s/iter. Inference: 0.0718 s/iter. Eval: 0.0002 s/iter. Total: 0.1212 s/iter. 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ETA=0:00:00 +[03/21 04:50:50] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.901911 (0.125407 s / iter per device, on 1 devices) +[03/21 04:50:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072324 s / iter per device, on 1 devices) +[03/21 04:50:50] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 04:50:50] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 04:50:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 04:50:50] d2.evaluation.testing INFO: copypaste: 0.6674,2.9358,0.1835 +[03/21 04:50:50] d2.data.common INFO: Serializing the dataset using: +[03/21 04:50:50] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 04:50:50] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 04:50:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 04:50:50] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 04:50:54] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:04 +[03/21 04:52:56] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.505954 (0.126018 s / iter per device, on 1 devices) +[03/21 04:52:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072653 s / iter per device, on 1 devices) +[03/21 04:52:57] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 04:52:57] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 04:52:57] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 04:52:57] d2.evaluation.testing INFO: copypaste: 0.5174,2.3713,0.0573 +[03/21 04:52:57] d2.utils.events INFO: eta: 11:19:16 iter: 21999 total_loss: 1.47 loss_cls: 0.01804 loss_box_reg: 0.03724 loss_rpn_cls: 0.005464 loss_rpn_loc: 0.00219 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.01314 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005091 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6613 last_time: 1.4422 data_time: 0.0180 last_data_time: 0.0299 lr: 0.01 max_mem: 20423M +[03/21 04:53:24] d2.utils.events INFO: eta: 11:18:52 iter: 22019 total_loss: 1.468 loss_cls: 0.01971 loss_box_reg: 0.03334 loss_rpn_cls: 0.005807 loss_rpn_loc: 0.001946 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.01046 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003241 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 0.6620 last_time: 1.1470 data_time: 0.0221 last_data_time: 0.0276 lr: 0.01 max_mem: 20423M +[03/21 04:53:51] d2.utils.events INFO: eta: 11:18:11 iter: 22039 total_loss: 1.465 loss_cls: 0.01609 loss_box_reg: 0.03237 loss_rpn_cls: 0.00367 loss_rpn_loc: 0.002253 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.00849 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001907 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.6626 last_time: 1.3910 data_time: 0.0173 last_data_time: 0.0211 lr: 0.01 max_mem: 20423M +[03/21 04:54:19] d2.utils.events INFO: eta: 11:17:05 iter: 22059 total_loss: 1.475 loss_cls: 0.01687 loss_box_reg: 0.03737 loss_rpn_cls: 0.005829 loss_rpn_loc: 0.002007 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.01158 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005825 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 0.6633 last_time: 1.3355 data_time: 0.0176 last_data_time: 0.0167 lr: 0.01 max_mem: 20423M +[03/21 04:54:48] d2.utils.events INFO: eta: 11:16:44 iter: 22079 total_loss: 1.47 loss_cls: 0.01303 loss_box_reg: 0.02639 loss_rpn_cls: 0.006055 loss_rpn_loc: 0.002582 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01416 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004405 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6640 last_time: 1.4431 data_time: 0.0197 last_data_time: 0.0131 lr: 0.01 max_mem: 20423M +[03/21 04:55:17] d2.utils.events INFO: eta: 11:16:02 iter: 22099 total_loss: 1.463 loss_cls: 0.01361 loss_box_reg: 0.03116 loss_rpn_cls: 0.004607 loss_rpn_loc: 0.001733 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01386 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004072 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6647 last_time: 1.7604 data_time: 0.0198 last_data_time: 0.0167 lr: 0.01 max_mem: 20423M +[03/21 04:55:47] d2.utils.events INFO: eta: 11:15:32 iter: 22119 total_loss: 1.464 loss_cls: 0.01472 loss_box_reg: 0.02944 loss_rpn_cls: 0.004311 loss_rpn_loc: 0.00181 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.009592 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004086 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6654 last_time: 1.5909 data_time: 0.0204 last_data_time: 0.0263 lr: 0.01 max_mem: 20424M +[03/21 04:56:15] d2.utils.events INFO: eta: 11:15:01 iter: 22139 total_loss: 1.467 loss_cls: 0.01612 loss_box_reg: 0.02621 loss_rpn_cls: 0.006425 loss_rpn_loc: 0.00168 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01516 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006119 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6661 last_time: 1.5968 data_time: 0.0195 last_data_time: 0.0236 lr: 0.01 max_mem: 20424M +[03/21 04:56:44] d2.utils.events INFO: eta: 11:14:32 iter: 22159 total_loss: 1.466 loss_cls: 0.02024 loss_box_reg: 0.03764 loss_rpn_cls: 0.004852 loss_rpn_loc: 0.001691 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.009601 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003415 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 0.6668 last_time: 1.5324 data_time: 0.0125 last_data_time: 0.0116 lr: 0.01 max_mem: 20424M +[03/21 04:57:14] d2.utils.events INFO: eta: 11:14:04 iter: 22179 total_loss: 1.46 loss_cls: 0.01312 loss_box_reg: 0.03722 loss_rpn_cls: 0.004965 loss_rpn_loc: 0.001568 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.006606 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001795 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.6676 last_time: 1.4796 data_time: 0.0263 last_data_time: 0.0108 lr: 0.01 max_mem: 20424M +[03/21 04:57:42] d2.utils.events INFO: eta: 11:13:15 iter: 22199 total_loss: 1.464 loss_cls: 0.01668 loss_box_reg: 0.03169 loss_rpn_cls: 0.004498 loss_rpn_loc: 0.002322 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.009151 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002211 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 0.6682 last_time: 1.5252 data_time: 0.0182 last_data_time: 0.0119 lr: 0.01 max_mem: 20424M +[03/21 04:58:11] d2.utils.events INFO: eta: 11:12:46 iter: 22219 total_loss: 1.462 loss_cls: 0.01197 loss_box_reg: 0.02913 loss_rpn_cls: 0.005706 loss_rpn_loc: 0.001825 loss_D_img_s: 0.695 loss_cls_pseudo: 0.01267 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003078 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.6690 last_time: 1.3875 data_time: 0.0251 last_data_time: 0.0254 lr: 0.01 max_mem: 20424M +[03/21 04:58:40] d2.utils.events INFO: eta: 11:11:51 iter: 22239 total_loss: 1.483 loss_cls: 0.01814 loss_box_reg: 0.03982 loss_rpn_cls: 0.004914 loss_rpn_loc: 0.001851 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.02047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005244 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 0.6697 last_time: 1.3926 data_time: 0.0166 last_data_time: 0.0096 lr: 0.01 max_mem: 20424M +[03/21 04:59:10] d2.utils.events INFO: eta: 11:11:36 iter: 22259 total_loss: 1.461 loss_cls: 0.01877 loss_box_reg: 0.03503 loss_rpn_cls: 0.006117 loss_rpn_loc: 0.002308 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.01309 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.6704 last_time: 1.6078 data_time: 0.0177 last_data_time: 0.0123 lr: 0.01 max_mem: 20424M +[03/21 04:59:39] d2.utils.events INFO: eta: 11:10:24 iter: 22279 total_loss: 1.464 loss_cls: 0.01799 loss_box_reg: 0.03176 loss_rpn_cls: 0.004751 loss_rpn_loc: 0.001538 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.01276 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002257 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 0.6711 last_time: 1.6657 data_time: 0.0207 last_data_time: 0.0282 lr: 0.01 max_mem: 20424M +[03/21 05:00:09] d2.utils.events INFO: eta: 11:09:35 iter: 22299 total_loss: 1.481 loss_cls: 0.01728 loss_box_reg: 0.03726 loss_rpn_cls: 0.005296 loss_rpn_loc: 0.001905 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.01547 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004305 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6718 last_time: 1.4612 data_time: 0.0177 last_data_time: 0.0109 lr: 0.01 max_mem: 20424M +[03/21 05:00:38] d2.utils.events INFO: eta: 11:09:03 iter: 22319 total_loss: 1.484 loss_cls: 0.01831 loss_box_reg: 0.03779 loss_rpn_cls: 0.006772 loss_rpn_loc: 0.002758 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.0122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003998 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6725 last_time: 1.4342 data_time: 0.0208 last_data_time: 0.0521 lr: 0.01 max_mem: 20424M +[03/21 05:01:07] d2.utils.events INFO: eta: 11:08:34 iter: 22339 total_loss: 1.467 loss_cls: 0.01594 loss_box_reg: 0.03374 loss_rpn_cls: 0.004246 loss_rpn_loc: 0.00197 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01229 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004621 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6732 last_time: 1.5498 data_time: 0.0171 last_data_time: 0.0104 lr: 0.01 max_mem: 20424M +[03/21 05:01:36] d2.utils.events INFO: eta: 11:07:58 iter: 22359 total_loss: 1.477 loss_cls: 0.01985 loss_box_reg: 0.02838 loss_rpn_cls: 0.00562 loss_rpn_loc: 0.001924 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01404 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006645 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 0.6739 last_time: 1.3774 data_time: 0.0213 last_data_time: 0.0120 lr: 0.01 max_mem: 20424M +[03/21 05:02:06] d2.utils.events INFO: eta: 11:08:20 iter: 22379 total_loss: 1.469 loss_cls: 0.01506 loss_box_reg: 0.03407 loss_rpn_cls: 0.005745 loss_rpn_loc: 0.002109 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.007285 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004294 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.6747 last_time: 1.4166 data_time: 0.0310 last_data_time: 0.0085 lr: 0.01 max_mem: 20424M +[03/21 05:02:34] d2.utils.events INFO: eta: 11:07:54 iter: 22399 total_loss: 1.458 loss_cls: 0.01001 loss_box_reg: 0.02539 loss_rpn_cls: 0.002774 loss_rpn_loc: 0.001508 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.01843 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00485 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 0.6753 last_time: 1.2611 data_time: 0.0189 last_data_time: 0.0107 lr: 0.01 max_mem: 20424M +[03/21 05:03:04] d2.utils.events INFO: eta: 11:07:27 iter: 22419 total_loss: 1.462 loss_cls: 0.01464 loss_box_reg: 0.032 loss_rpn_cls: 0.00391 loss_rpn_loc: 0.001566 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.01012 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004318 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 0.6760 last_time: 1.3775 data_time: 0.0191 last_data_time: 0.0100 lr: 0.01 max_mem: 20424M +[03/21 05:03:33] d2.utils.events INFO: eta: 11:05:46 iter: 22439 total_loss: 1.465 loss_cls: 0.01443 loss_box_reg: 0.02856 loss_rpn_cls: 0.00564 loss_rpn_loc: 0.00143 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01335 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003789 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 0.6767 last_time: 1.4978 data_time: 0.0165 last_data_time: 0.0148 lr: 0.01 max_mem: 20424M +[03/21 05:04:01] d2.utils.events INFO: eta: 11:05:17 iter: 22459 total_loss: 1.468 loss_cls: 0.01738 loss_box_reg: 0.03851 loss_rpn_cls: 0.00448 loss_rpn_loc: 0.001936 loss_D_img_s: 0.695 loss_cls_pseudo: 0.01197 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00546 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 0.6774 last_time: 1.4519 data_time: 0.0237 last_data_time: 0.0169 lr: 0.01 max_mem: 20424M +[03/21 05:04:31] d2.utils.events INFO: eta: 11:05:14 iter: 22479 total_loss: 1.467 loss_cls: 0.01507 loss_box_reg: 0.03531 loss_rpn_cls: 0.005268 loss_rpn_loc: 0.001878 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.01401 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003276 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.6781 last_time: 1.4905 data_time: 0.0151 last_data_time: 0.0105 lr: 0.01 max_mem: 20424M +[03/21 05:04:59] d2.utils.events INFO: eta: 11:03:47 iter: 22499 total_loss: 1.461 loss_cls: 0.01606 loss_box_reg: 0.02817 loss_rpn_cls: 0.00542 loss_rpn_loc: 0.002358 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.009991 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003324 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6788 last_time: 1.2443 data_time: 0.0190 last_data_time: 0.0260 lr: 0.01 max_mem: 20424M +[03/21 05:05:29] d2.utils.events INFO: eta: 11:04:13 iter: 22519 total_loss: 1.459 loss_cls: 0.01552 loss_box_reg: 0.03193 loss_rpn_cls: 0.004468 loss_rpn_loc: 0.001976 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.009531 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002117 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 0.6795 last_time: 1.5160 data_time: 0.0179 last_data_time: 0.0121 lr: 0.01 max_mem: 20424M +[03/21 05:05:58] d2.utils.events INFO: eta: 11:03:39 iter: 22539 total_loss: 1.466 loss_cls: 0.01549 loss_box_reg: 0.0396 loss_rpn_cls: 0.004042 loss_rpn_loc: 0.001874 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.01201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002623 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6802 last_time: 1.3253 data_time: 0.0180 last_data_time: 0.0137 lr: 0.01 max_mem: 20424M +[03/21 05:06:28] d2.utils.events INFO: eta: 11:02:52 iter: 22559 total_loss: 1.457 loss_cls: 0.01521 loss_box_reg: 0.03204 loss_rpn_cls: 0.004401 loss_rpn_loc: 0.001705 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.00767 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002494 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.6809 last_time: 1.4397 data_time: 0.0127 last_data_time: 0.0125 lr: 0.01 max_mem: 20424M +[03/21 05:06:56] d2.utils.events INFO: eta: 11:02:57 iter: 22579 total_loss: 1.478 loss_cls: 0.01751 loss_box_reg: 0.03743 loss_rpn_cls: 0.005329 loss_rpn_loc: 0.002013 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.01563 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00527 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 0.6815 last_time: 1.3185 data_time: 0.0242 last_data_time: 0.0314 lr: 0.01 max_mem: 20424M +[03/21 05:07:25] d2.utils.events INFO: eta: 11:02:12 iter: 22599 total_loss: 1.469 loss_cls: 0.01641 loss_box_reg: 0.03883 loss_rpn_cls: 0.003741 loss_rpn_loc: 0.001739 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01269 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003613 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 0.6822 last_time: 1.4569 data_time: 0.0217 last_data_time: 0.0248 lr: 0.01 max_mem: 20424M +[03/21 05:07:54] d2.utils.events INFO: eta: 11:01:08 iter: 22619 total_loss: 1.447 loss_cls: 0.01346 loss_box_reg: 0.03124 loss_rpn_cls: 0.006473 loss_rpn_loc: 0.002148 loss_D_img_s: 0.695 loss_cls_pseudo: 0.00546 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001008 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.6829 last_time: 1.5141 data_time: 0.0234 last_data_time: 0.0150 lr: 0.01 max_mem: 20424M +[03/21 05:08:23] d2.utils.events INFO: eta: 11:00:01 iter: 22639 total_loss: 1.457 loss_cls: 0.01367 loss_box_reg: 0.0301 loss_rpn_cls: 0.004006 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.01059 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003126 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6836 last_time: 1.5271 data_time: 0.0157 last_data_time: 0.0091 lr: 0.01 max_mem: 20424M +[03/21 05:08:52] d2.utils.events INFO: eta: 10:59:58 iter: 22659 total_loss: 1.455 loss_cls: 0.0147 loss_box_reg: 0.0284 loss_rpn_cls: 0.004966 loss_rpn_loc: 0.002562 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.01131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003041 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.6842 last_time: 1.5261 data_time: 0.0154 last_data_time: 0.0170 lr: 0.01 max_mem: 20424M +[03/21 05:09:21] d2.utils.events INFO: eta: 10:59:41 iter: 22679 total_loss: 1.451 loss_cls: 0.01339 loss_box_reg: 0.0263 loss_rpn_cls: 0.005031 loss_rpn_loc: 0.002079 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01755 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003027 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 0.6849 last_time: 1.3850 data_time: 0.0216 last_data_time: 0.0125 lr: 0.01 max_mem: 20424M +[03/21 05:09:50] d2.utils.events INFO: eta: 10:59:31 iter: 22699 total_loss: 1.451 loss_cls: 0.01453 loss_box_reg: 0.02884 loss_rpn_cls: 0.004757 loss_rpn_loc: 0.001727 loss_D_img_s: 0.694 loss_cls_pseudo: 0.0126 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00336 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.6856 last_time: 1.5232 data_time: 0.0172 last_data_time: 0.0112 lr: 0.01 max_mem: 20424M +[03/21 05:10:20] d2.utils.events INFO: eta: 10:59:51 iter: 22719 total_loss: 1.442 loss_cls: 0.01014 loss_box_reg: 0.02194 loss_rpn_cls: 0.003041 loss_rpn_loc: 0.001455 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.006303 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001624 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.6863 last_time: 1.5193 data_time: 0.0217 last_data_time: 0.0178 lr: 0.01 max_mem: 20424M +[03/21 05:10:50] d2.utils.events INFO: eta: 10:59:34 iter: 22739 total_loss: 1.459 loss_cls: 0.01374 loss_box_reg: 0.0268 loss_rpn_cls: 0.004334 loss_rpn_loc: 0.002023 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01081 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.6870 last_time: 1.4587 data_time: 0.0194 last_data_time: 0.0420 lr: 0.01 max_mem: 20424M +[03/21 05:11:19] d2.utils.events INFO: eta: 10:59:19 iter: 22759 total_loss: 1.48 loss_cls: 0.01346 loss_box_reg: 0.03592 loss_rpn_cls: 0.004847 loss_rpn_loc: 0.002464 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.01372 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004134 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.6877 last_time: 1.4352 data_time: 0.0167 last_data_time: 0.0114 lr: 0.01 max_mem: 20424M +[03/21 05:11:48] d2.utils.events INFO: eta: 10:58:43 iter: 22779 total_loss: 1.457 loss_cls: 0.01524 loss_box_reg: 0.0331 loss_rpn_cls: 0.003944 loss_rpn_loc: 0.001905 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.008233 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0028 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.6883 last_time: 1.6557 data_time: 0.0193 last_data_time: 0.0325 lr: 0.01 max_mem: 20424M +[03/21 05:12:17] d2.utils.events INFO: eta: 10:58:09 iter: 22799 total_loss: 1.471 loss_cls: 0.01621 loss_box_reg: 0.03899 loss_rpn_cls: 0.004548 loss_rpn_loc: 0.001831 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.01133 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003382 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 0.6890 last_time: 1.4728 data_time: 0.0164 last_data_time: 0.0119 lr: 0.01 max_mem: 20424M +[03/21 05:12:46] d2.utils.events INFO: eta: 10:57:57 iter: 22819 total_loss: 1.472 loss_cls: 0.01622 loss_box_reg: 0.03457 loss_rpn_cls: 0.006503 loss_rpn_loc: 0.002011 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.01059 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003992 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 0.6897 last_time: 1.4232 data_time: 0.0136 last_data_time: 0.0102 lr: 0.01 max_mem: 20424M +[03/21 05:13:16] d2.utils.events INFO: eta: 10:57:13 iter: 22839 total_loss: 1.46 loss_cls: 0.01378 loss_box_reg: 0.03171 loss_rpn_cls: 0.005633 loss_rpn_loc: 0.00218 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01586 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003307 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6904 last_time: 1.3733 data_time: 0.0262 last_data_time: 0.0244 lr: 0.01 max_mem: 20424M +[03/21 05:13:46] d2.utils.events INFO: eta: 10:57:19 iter: 22859 total_loss: 1.451 loss_cls: 0.01117 loss_box_reg: 0.02979 loss_rpn_cls: 0.003373 loss_rpn_loc: 0.001822 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.01541 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002906 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.6911 last_time: 1.4941 data_time: 0.0143 last_data_time: 0.0111 lr: 0.01 max_mem: 20424M +[03/21 05:14:15] d2.utils.events INFO: eta: 10:56:37 iter: 22879 total_loss: 1.448 loss_cls: 0.01334 loss_box_reg: 0.03079 loss_rpn_cls: 0.003001 loss_rpn_loc: 0.001755 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.004594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001232 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 0.6918 last_time: 1.4618 data_time: 0.0150 last_data_time: 0.0218 lr: 0.01 max_mem: 20424M +[03/21 05:14:44] d2.utils.events INFO: eta: 10:56:01 iter: 22899 total_loss: 1.465 loss_cls: 0.01371 loss_box_reg: 0.03322 loss_rpn_cls: 0.003315 loss_rpn_loc: 0.00233 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.009659 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001511 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 0.6924 last_time: 1.1921 data_time: 0.0153 last_data_time: 0.0116 lr: 0.01 max_mem: 20424M +[03/21 05:15:13] d2.utils.events INFO: eta: 10:55:52 iter: 22919 total_loss: 1.455 loss_cls: 0.01403 loss_box_reg: 0.03397 loss_rpn_cls: 0.006572 loss_rpn_loc: 0.001869 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.01048 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00318 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 0.6931 last_time: 1.6674 data_time: 0.0160 last_data_time: 0.0108 lr: 0.01 max_mem: 20424M +[03/21 05:15:42] d2.utils.events INFO: eta: 10:55:18 iter: 22939 total_loss: 1.457 loss_cls: 0.01317 loss_box_reg: 0.03174 loss_rpn_cls: 0.002954 loss_rpn_loc: 0.001548 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.01352 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002413 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.6938 last_time: 1.6238 data_time: 0.0146 last_data_time: 0.0101 lr: 0.01 max_mem: 20424M +[03/21 05:16:11] d2.utils.events INFO: eta: 10:54:54 iter: 22959 total_loss: 1.47 loss_cls: 0.01552 loss_box_reg: 0.03582 loss_rpn_cls: 0.005582 loss_rpn_loc: 0.002141 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.0122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007779 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.6944 last_time: 1.3719 data_time: 0.0164 last_data_time: 0.0090 lr: 0.01 max_mem: 20424M +[03/21 05:16:41] d2.utils.events INFO: eta: 10:54:51 iter: 22979 total_loss: 1.471 loss_cls: 0.01983 loss_box_reg: 0.04155 loss_rpn_cls: 0.00423 loss_rpn_loc: 0.002303 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.00846 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001872 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.6951 last_time: 1.5949 data_time: 0.0194 last_data_time: 0.0229 lr: 0.01 max_mem: 20424M +[03/21 05:17:12] d2.data.common INFO: Serializing the dataset using: +[03/21 05:17:12] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 05:17:12] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 05:17:12] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 05:17:12] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 05:17:14] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 05:19:18] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.797336 (0.126313 s / iter per device, on 1 devices) +[03/21 05:19:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074257 s / iter per device, on 1 devices) +[03/21 05:19:18] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 05:19:18] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 05:19:18] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 05:19:18] d2.evaluation.testing INFO: copypaste: 0.5862,2.3522,0.1602 +[03/21 05:19:18] d2.data.common INFO: Serializing the dataset using: +[03/21 05:19:18] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 05:19:18] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 05:19:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 05:19:18] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 05:19:21] d2.evaluation.evaluator INFO: Inference done 16/993. 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ETA=0:00:16 +[03/21 05:21:13] d2.evaluation.evaluator INFO: Inference done 903/993. Dataloading: 0.0527 s/iter. Inference: 0.0733 s/iter. Eval: 0.0003 s/iter. Total: 0.1264 s/iter. ETA=0:00:11 +[03/21 05:21:18] d2.evaluation.evaluator INFO: Inference done 942/993. Dataloading: 0.0527 s/iter. Inference: 0.0734 s/iter. Eval: 0.0003 s/iter. Total: 0.1265 s/iter. ETA=0:00:06 +[03/21 05:21:23] d2.evaluation.evaluator INFO: Inference done 983/993. Dataloading: 0.0529 s/iter. Inference: 0.0732 s/iter. Eval: 0.0003 s/iter. Total: 0.1264 s/iter. ETA=0:00:01 +[03/21 05:21:24] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.901860 (0.126419 s / iter per device, on 1 devices) +[03/21 05:21:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073218 s / iter per device, on 1 devices) +[03/21 05:21:25] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 05:21:25] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 05:21:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 05:21:25] d2.evaluation.testing INFO: copypaste: 0.5537,2.9370,0.1439 +[03/21 05:21:25] d2.utils.events INFO: eta: 10:54:18 iter: 22999 total_loss: 1.467 loss_cls: 0.01409 loss_box_reg: 0.03659 loss_rpn_cls: 0.006421 loss_rpn_loc: 0.002391 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.01239 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001592 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.6958 last_time: 1.5615 data_time: 0.0193 last_data_time: 0.0146 lr: 0.01 max_mem: 20424M +[03/21 05:21:51] d2.utils.events INFO: eta: 10:53:40 iter: 23019 total_loss: 1.45 loss_cls: 0.01197 loss_box_reg: 0.0271 loss_rpn_cls: 0.003229 loss_rpn_loc: 0.001702 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.007712 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.6964 last_time: 1.3034 data_time: 0.0174 last_data_time: 0.0166 lr: 0.01 max_mem: 20424M +[03/21 05:22:19] d2.utils.events INFO: eta: 10:53:11 iter: 23039 total_loss: 1.466 loss_cls: 0.01168 loss_box_reg: 0.02938 loss_rpn_cls: 0.005196 loss_rpn_loc: 0.001884 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.01253 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 0.6970 last_time: 1.3684 data_time: 0.0189 last_data_time: 0.0172 lr: 0.01 max_mem: 20424M +[03/21 05:22:48] d2.utils.events INFO: eta: 10:53:00 iter: 23059 total_loss: 1.462 loss_cls: 0.01606 loss_box_reg: 0.02445 loss_rpn_cls: 0.004738 loss_rpn_loc: 0.001504 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.02122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007128 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.6976 last_time: 1.3517 data_time: 0.0149 last_data_time: 0.0174 lr: 0.01 max_mem: 20424M +[03/21 05:23:16] d2.utils.events INFO: eta: 10:52:25 iter: 23079 total_loss: 1.455 loss_cls: 0.0147 loss_box_reg: 0.02879 loss_rpn_cls: 0.006326 loss_rpn_loc: 0.001715 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.005123 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001786 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.69 time: 0.6983 last_time: 1.4694 data_time: 0.0182 last_data_time: 0.0108 lr: 0.01 max_mem: 20424M +[03/21 05:23:45] d2.utils.events INFO: eta: 10:51:51 iter: 23099 total_loss: 1.457 loss_cls: 0.01209 loss_box_reg: 0.03287 loss_rpn_cls: 0.003214 loss_rpn_loc: 0.00123 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.01134 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005013 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 0.6989 last_time: 1.4034 data_time: 0.0158 last_data_time: 0.0257 lr: 0.01 max_mem: 20424M +[03/21 05:24:14] d2.utils.events INFO: eta: 10:51:15 iter: 23119 total_loss: 1.459 loss_cls: 0.01611 loss_box_reg: 0.02377 loss_rpn_cls: 0.005474 loss_rpn_loc: 0.001833 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.01374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003877 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 0.6995 last_time: 1.4196 data_time: 0.0244 last_data_time: 0.0274 lr: 0.01 max_mem: 20424M +[03/21 05:24:43] d2.utils.events INFO: eta: 10:50:53 iter: 23139 total_loss: 1.456 loss_cls: 0.01132 loss_box_reg: 0.0314 loss_rpn_cls: 0.004557 loss_rpn_loc: 0.001904 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.007682 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003361 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.7002 last_time: 1.3955 data_time: 0.0172 last_data_time: 0.0153 lr: 0.01 max_mem: 20424M +[03/21 05:25:13] d2.utils.events INFO: eta: 10:50:24 iter: 23159 total_loss: 1.449 loss_cls: 0.01361 loss_box_reg: 0.0272 loss_rpn_cls: 0.006331 loss_rpn_loc: 0.001478 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.008612 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004111 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.7009 last_time: 1.5076 data_time: 0.0177 last_data_time: 0.0100 lr: 0.01 max_mem: 20424M +[03/21 05:25:42] d2.utils.events INFO: eta: 10:49:47 iter: 23179 total_loss: 1.459 loss_cls: 0.01479 loss_box_reg: 0.02725 loss_rpn_cls: 0.004922 loss_rpn_loc: 0.001675 loss_D_img_s: 0.695 loss_cls_pseudo: 0.01708 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004088 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.7015 last_time: 1.3893 data_time: 0.0183 last_data_time: 0.0142 lr: 0.01 max_mem: 20424M +[03/21 05:26:11] d2.utils.events INFO: eta: 10:49:27 iter: 23199 total_loss: 1.476 loss_cls: 0.01427 loss_box_reg: 0.034 loss_rpn_cls: 0.005596 loss_rpn_loc: 0.00183 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.01722 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004097 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 0.7022 last_time: 1.4878 data_time: 0.0157 last_data_time: 0.0106 lr: 0.01 max_mem: 20424M +[03/21 05:26:40] d2.utils.events INFO: eta: 10:48:49 iter: 23219 total_loss: 1.448 loss_cls: 0.01367 loss_box_reg: 0.03159 loss_rpn_cls: 0.005013 loss_rpn_loc: 0.002013 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.00712 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001676 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6898 time: 0.7028 last_time: 1.4443 data_time: 0.0272 last_data_time: 0.0108 lr: 0.01 max_mem: 20424M +[03/21 05:27:08] d2.utils.events INFO: eta: 10:48:10 iter: 23239 total_loss: 1.458 loss_cls: 0.01346 loss_box_reg: 0.0322 loss_rpn_cls: 0.005194 loss_rpn_loc: 0.002089 loss_D_img_s: 0.6967 loss_cls_pseudo: 0.01188 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 0.7034 last_time: 1.4652 data_time: 0.0248 last_data_time: 0.0290 lr: 0.01 max_mem: 20424M +[03/21 05:27:36] d2.utils.events INFO: eta: 10:47:00 iter: 23259 total_loss: 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loss_rpn_cls_pseudo: 0.001785 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 0.7053 last_time: 1.3842 data_time: 0.0170 last_data_time: 0.0122 lr: 0.01 max_mem: 20424M +[03/21 05:29:03] d2.utils.events INFO: eta: 10:45:28 iter: 23319 total_loss: 1.467 loss_cls: 0.01789 loss_box_reg: 0.03402 loss_rpn_cls: 0.005476 loss_rpn_loc: 0.002077 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.008997 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002556 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 0.7059 last_time: 1.5129 data_time: 0.0149 last_data_time: 0.0276 lr: 0.01 max_mem: 20424M +[03/21 05:29:31] d2.utils.events INFO: eta: 10:43:58 iter: 23339 total_loss: 1.449 loss_cls: 0.01246 loss_box_reg: 0.02972 loss_rpn_cls: 0.003409 loss_rpn_loc: 0.001513 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.008983 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002011 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6892 time: 0.7065 last_time: 1.2920 data_time: 0.0162 last_data_time: 0.0100 lr: 0.01 max_mem: 20424M +[03/21 05:30:00] d2.utils.events INFO: eta: 10:43:29 iter: 23359 total_loss: 1.46 loss_cls: 0.01447 loss_box_reg: 0.02863 loss_rpn_cls: 0.004753 loss_rpn_loc: 0.001603 loss_D_img_s: 0.6959 loss_cls_pseudo: 0.01275 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00538 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6893 time: 0.7072 last_time: 1.5191 data_time: 0.0227 last_data_time: 0.0193 lr: 0.01 max_mem: 20424M +[03/21 05:30:29] d2.utils.events INFO: eta: 10:42:23 iter: 23379 total_loss: 1.476 loss_cls: 0.01492 loss_box_reg: 0.03271 loss_rpn_cls: 0.004437 loss_rpn_loc: 0.002219 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.009457 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003392 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 0.7078 last_time: 1.3805 data_time: 0.0234 last_data_time: 0.0303 lr: 0.01 max_mem: 20424M +[03/21 05:30:58] d2.utils.events INFO: eta: 10:41:54 iter: 23399 total_loss: 1.448 loss_cls: 0.01262 loss_box_reg: 0.03232 loss_rpn_cls: 0.002985 loss_rpn_loc: 0.001683 loss_D_img_s: 0.695 loss_cls_pseudo: 0.01103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002007 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.7084 last_time: 1.4288 data_time: 0.0170 last_data_time: 0.0140 lr: 0.01 max_mem: 20424M +[03/21 05:31:27] d2.utils.events INFO: eta: 10:41:12 iter: 23419 total_loss: 1.467 loss_cls: 0.01562 loss_box_reg: 0.03602 loss_rpn_cls: 0.006701 loss_rpn_loc: 0.002593 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.01534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0042 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 0.7091 last_time: 1.3971 data_time: 0.0230 last_data_time: 0.0368 lr: 0.01 max_mem: 20424M +[03/21 05:31:55] d2.utils.events INFO: eta: 10:40:06 iter: 23439 total_loss: 1.448 loss_cls: 0.01257 loss_box_reg: 0.03242 loss_rpn_cls: 0.004303 loss_rpn_loc: 0.001643 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.009881 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002423 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6894 time: 0.7097 last_time: 1.4981 data_time: 0.0207 last_data_time: 0.0427 lr: 0.01 max_mem: 20424M +[03/21 05:32:25] d2.utils.events INFO: eta: 10:40:27 iter: 23459 total_loss: 1.453 loss_cls: 0.0122 loss_box_reg: 0.0266 loss_rpn_cls: 0.004105 loss_rpn_loc: 0.001872 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.009086 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003503 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 0.7103 last_time: 1.5256 data_time: 0.0150 last_data_time: 0.0110 lr: 0.01 max_mem: 20424M +[03/21 05:32:54] d2.utils.events INFO: eta: 10:39:08 iter: 23479 total_loss: 1.453 loss_cls: 0.01005 loss_box_reg: 0.02501 loss_rpn_cls: 0.003288 loss_rpn_loc: 0.001699 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.01345 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003727 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6901 time: 0.7109 last_time: 1.6440 data_time: 0.0189 last_data_time: 0.0120 lr: 0.01 max_mem: 20424M +[03/21 05:33:24] d2.utils.events INFO: eta: 10:40:04 iter: 23499 total_loss: 1.464 loss_cls: 0.01863 loss_box_reg: 0.03626 loss_rpn_cls: 0.006917 loss_rpn_loc: 0.002316 loss_D_img_s: 0.6961 loss_cls_pseudo: 0.009335 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002606 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6898 time: 0.7116 last_time: 1.3650 data_time: 0.0222 last_data_time: 0.0104 lr: 0.01 max_mem: 20424M +[03/21 05:33:53] d2.utils.events INFO: eta: 10:38:47 iter: 23519 total_loss: 1.465 loss_cls: 0.01674 loss_box_reg: 0.03353 loss_rpn_cls: 0.004812 loss_rpn_loc: 0.002632 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.01066 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002733 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 0.7123 last_time: 1.4527 data_time: 0.0195 last_data_time: 0.0288 lr: 0.01 max_mem: 20424M +[03/21 05:34:23] d2.utils.events INFO: eta: 10:38:51 iter: 23539 total_loss: 1.468 loss_cls: 0.01529 loss_box_reg: 0.0331 loss_rpn_cls: 0.00597 loss_rpn_loc: 0.001783 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01838 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003891 loss_rpn_loc_pseudo: 0 loss_D_img_t: 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1.459 loss_cls: 0.0138 loss_box_reg: 0.02969 loss_rpn_cls: 0.004806 loss_rpn_loc: 0.001571 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.01459 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003228 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 0.7148 last_time: 1.6089 data_time: 0.0188 last_data_time: 0.0156 lr: 0.01 max_mem: 20424M +[03/21 05:36:19] d2.utils.events INFO: eta: 10:37:05 iter: 23619 total_loss: 1.446 loss_cls: 0.01194 loss_box_reg: 0.02972 loss_rpn_cls: 0.00343 loss_rpn_loc: 0.001693 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.009602 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002244 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 0.7154 last_time: 1.5480 data_time: 0.0235 last_data_time: 0.0145 lr: 0.01 max_mem: 20424M +[03/21 05:36:49] d2.utils.events INFO: eta: 10:36:51 iter: 23639 total_loss: 1.469 loss_cls: 0.01355 loss_box_reg: 0.03451 loss_rpn_cls: 0.003884 loss_rpn_loc: 0.001596 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.0101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 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d2.utils.events INFO: eta: 10:34:59 iter: 23699 total_loss: 1.444 loss_cls: 0.01463 loss_box_reg: 0.02598 loss_rpn_cls: 0.004342 loss_rpn_loc: 0.001741 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.009955 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001923 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 0.7179 last_time: 1.4762 data_time: 0.0176 last_data_time: 0.0264 lr: 0.01 max_mem: 20424M +[03/21 05:38:45] d2.utils.events INFO: eta: 10:33:44 iter: 23719 total_loss: 1.455 loss_cls: 0.01224 loss_box_reg: 0.02305 loss_rpn_cls: 0.001429 loss_rpn_loc: 0.00163 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.01263 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001577 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 0.7185 last_time: 1.4803 data_time: 0.0193 last_data_time: 0.0366 lr: 0.01 max_mem: 20424M +[03/21 05:39:15] d2.utils.events INFO: eta: 10:33:23 iter: 23739 total_loss: 1.452 loss_cls: 0.01365 loss_box_reg: 0.03163 loss_rpn_cls: 0.004737 loss_rpn_loc: 0.001628 loss_D_img_s: 0.6935 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last_data_time: 0.0350 lr: 0.01 max_mem: 20424M +[03/21 05:40:44] d2.utils.events INFO: eta: 10:32:45 iter: 23799 total_loss: 1.46 loss_cls: 0.0138 loss_box_reg: 0.0305 loss_rpn_cls: 0.003987 loss_rpn_loc: 0.002121 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.008659 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003216 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 0.7211 last_time: 1.5114 data_time: 0.0214 last_data_time: 0.0202 lr: 0.01 max_mem: 20424M +[03/21 05:41:14] d2.utils.events INFO: eta: 10:32:16 iter: 23819 total_loss: 1.458 loss_cls: 0.01698 loss_box_reg: 0.02946 loss_rpn_cls: 0.003837 loss_rpn_loc: 0.002083 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.01468 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006007 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.7218 last_time: 1.4258 data_time: 0.0226 last_data_time: 0.0138 lr: 0.01 max_mem: 20424M +[03/21 05:41:43] d2.utils.events INFO: eta: 10:31:28 iter: 23839 total_loss: 1.469 loss_cls: 0.01469 loss_box_reg: 0.02794 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loss_D_img_t: 0.6915 time: 0.7236 last_time: 1.5400 data_time: 0.0260 last_data_time: 0.0122 lr: 0.01 max_mem: 20424M +[03/21 05:43:09] d2.utils.events INFO: eta: 10:28:23 iter: 23899 total_loss: 1.462 loss_cls: 0.01564 loss_box_reg: 0.02891 loss_rpn_cls: 0.007133 loss_rpn_loc: 0.002794 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.00808 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003611 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.7242 last_time: 1.5855 data_time: 0.0171 last_data_time: 0.0363 lr: 0.01 max_mem: 20424M +[03/21 05:43:39] d2.utils.events INFO: eta: 10:28:50 iter: 23919 total_loss: 1.466 loss_cls: 0.01534 loss_box_reg: 0.03359 loss_rpn_cls: 0.004183 loss_rpn_loc: 0.001735 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.01213 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003904 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 0.7248 last_time: 1.4808 data_time: 0.0249 last_data_time: 0.0113 lr: 0.01 max_mem: 20424M +[03/21 05:44:08] d2.utils.events INFO: eta: 10:28:19 iter: 23939 total_loss: 1.466 loss_cls: 0.01249 loss_box_reg: 0.02834 loss_rpn_cls: 0.003325 loss_rpn_loc: 0.002293 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.02134 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003787 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6888 time: 0.7254 last_time: 1.6157 data_time: 0.0202 last_data_time: 0.0101 lr: 0.01 max_mem: 20424M +[03/21 05:44:38] d2.utils.events INFO: eta: 10:27:50 iter: 23959 total_loss: 1.484 loss_cls: 0.01629 loss_box_reg: 0.02884 loss_rpn_cls: 0.005769 loss_rpn_loc: 0.002343 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01591 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003696 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.7261 last_time: 1.4428 data_time: 0.0175 last_data_time: 0.0103 lr: 0.01 max_mem: 20424M +[03/21 05:45:07] d2.utils.events INFO: eta: 10:26:28 iter: 23979 total_loss: 1.454 loss_cls: 0.01139 loss_box_reg: 0.036 loss_rpn_cls: 0.002444 loss_rpn_loc: 0.002112 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.007396 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002122 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.7267 last_time: 1.4811 data_time: 0.0224 last_data_time: 0.0318 lr: 0.01 max_mem: 20424M +[03/21 05:45:37] d2.data.common INFO: Serializing the dataset using: +[03/21 05:45:37] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 05:45:37] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 05:45:37] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 05:45:37] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 05:45:39] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 05:47:41] d2.evaluation.evaluator INFO: Total inference time: 0:02:02.821434 (0.124313 s / iter per device, on 1 devices) +[03/21 05:47:41] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071071 s / iter per device, on 1 devices) +[03/21 05:47:42] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 05:47:42] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 05:47:42] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 05:47:42] d2.evaluation.testing INFO: copypaste: 0.6573,2.9693,0.0000 +[03/21 05:47:42] d2.data.common INFO: Serializing the dataset using: +[03/21 05:47:42] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 05:47:42] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 05:47:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 05:47:42] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 05:47:46] d2.evaluation.evaluator INFO: Inference done 32/993. 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Total: 0.1236 s/iter. ETA=0:00:11 +[03/21 05:49:39] d2.evaluation.evaluator INFO: Inference done 939/993. Dataloading: 0.0529 s/iter. Inference: 0.0709 s/iter. Eval: 0.0002 s/iter. Total: 0.1242 s/iter. ETA=0:00:06 +[03/21 05:49:44] d2.evaluation.evaluator INFO: Inference done 985/993. Dataloading: 0.0525 s/iter. Inference: 0.0708 s/iter. Eval: 0.0002 s/iter. Total: 0.1237 s/iter. ETA=0:00:00 +[03/21 05:49:45] d2.evaluation.evaluator INFO: Total inference time: 0:02:01.953202 (0.123434 s / iter per device, on 1 devices) +[03/21 05:49:45] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:09 (0.070730 s / iter per device, on 1 devices) +[03/21 05:49:45] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 05:49:45] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 05:49:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 05:49:45] d2.evaluation.testing INFO: copypaste: 0.5638,2.6569,0.0866 +[03/21 05:49:45] d2.utils.events INFO: eta: 10:25:55 iter: 23999 total_loss: 1.445 loss_cls: 0.01141 loss_box_reg: 0.02659 loss_rpn_cls: 0.003386 loss_rpn_loc: 0.001467 loss_D_img_s: 0.694 loss_cls_pseudo: 0.01225 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001234 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.7273 last_time: 1.3740 data_time: 0.0174 last_data_time: 0.0287 lr: 0.01 max_mem: 20424M +[03/21 05:50:12] d2.utils.events INFO: eta: 10:25:30 iter: 24019 total_loss: 1.451 loss_cls: 0.01463 loss_box_reg: 0.03398 loss_rpn_cls: 0.004319 loss_rpn_loc: 0.002011 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.007217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001769 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.7278 last_time: 1.3833 data_time: 0.0213 last_data_time: 0.0351 lr: 0.01 max_mem: 20424M +[03/21 05:50:40] d2.utils.events INFO: eta: 10:25:01 iter: 24039 total_loss: 1.47 loss_cls: 0.01301 loss_box_reg: 0.03071 loss_rpn_cls: 0.004158 loss_rpn_loc: 0.001662 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.01937 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006869 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6895 time: 0.7284 last_time: 1.3789 data_time: 0.0189 last_data_time: 0.0537 lr: 0.01 max_mem: 20424M +[03/21 05:51:08] d2.utils.events INFO: eta: 10:24:28 iter: 24059 total_loss: 1.475 loss_cls: 0.01544 loss_box_reg: 0.03178 loss_rpn_cls: 0.005965 loss_rpn_loc: 0.002055 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.01863 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005342 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.7289 last_time: 1.3687 data_time: 0.0192 last_data_time: 0.0145 lr: 0.01 max_mem: 20424M +[03/21 05:51:36] d2.utils.events INFO: eta: 10:23:57 iter: 24079 total_loss: 1.46 loss_cls: 0.013 loss_box_reg: 0.03498 loss_rpn_cls: 0.004268 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.009805 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003266 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 0.7295 last_time: 1.2492 data_time: 0.0170 last_data_time: 0.0127 lr: 0.01 max_mem: 20424M +[03/21 05:52:05] d2.utils.events INFO: eta: 10:23:29 iter: 24099 total_loss: 1.462 loss_cls: 0.01405 loss_box_reg: 0.03562 loss_rpn_cls: 0.004377 loss_rpn_loc: 0.001904 loss_D_img_s: 0.6905 loss_cls_pseudo: 0.0085 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004014 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 0.7301 last_time: 1.4844 data_time: 0.0129 last_data_time: 0.0118 lr: 0.01 max_mem: 20424M +[03/21 05:52:34] d2.utils.events INFO: eta: 10:23:01 iter: 24119 total_loss: 1.462 loss_cls: 0.01581 loss_box_reg: 0.03407 loss_rpn_cls: 0.005443 loss_rpn_loc: 0.00209 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.007866 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001664 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.7307 last_time: 1.4459 data_time: 0.0166 last_data_time: 0.0429 lr: 0.01 max_mem: 20424M +[03/21 05:53:03] d2.utils.events INFO: eta: 10:22:31 iter: 24139 total_loss: 1.455 loss_cls: 0.01213 loss_box_reg: 0.02368 loss_rpn_cls: 0.005256 loss_rpn_loc: 0.001689 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.009218 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 0.7313 last_time: 1.4409 data_time: 0.0184 last_data_time: 0.0194 lr: 0.01 max_mem: 20424M +[03/21 05:53:31] d2.utils.events INFO: eta: 10:21:36 iter: 24159 total_loss: 1.459 loss_cls: 0.01106 loss_box_reg: 0.02672 loss_rpn_cls: 0.003787 loss_rpn_loc: 0.001531 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.01118 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006019 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.7318 last_time: 1.4539 data_time: 0.0157 last_data_time: 0.0277 lr: 0.01 max_mem: 20424M +[03/21 05:54:00] d2.utils.events INFO: eta: 10:21:24 iter: 24179 total_loss: 1.46 loss_cls: 0.01297 loss_box_reg: 0.03102 loss_rpn_cls: 0.003811 loss_rpn_loc: 0.001984 loss_D_img_s: 0.6911 loss_cls_pseudo: 0.01771 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004596 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 0.7324 last_time: 1.4989 data_time: 0.0236 last_data_time: 0.0525 lr: 0.01 max_mem: 20424M +[03/21 05:54:28] d2.utils.events INFO: eta: 10:20:39 iter: 24199 total_loss: 1.46 loss_cls: 0.01536 loss_box_reg: 0.02767 loss_rpn_cls: 0.005011 loss_rpn_loc: 0.002277 loss_D_img_s: 0.692 loss_cls_pseudo: 0.01416 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003505 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loss_box_reg: 0.0385 loss_rpn_cls: 0.003402 loss_rpn_loc: 0.002118 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.01078 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003881 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6895 time: 0.7418 last_time: 1.4453 data_time: 0.0146 last_data_time: 0.0117 lr: 0.01 max_mem: 20424M +[03/21 06:02:15] d2.utils.events INFO: eta: 10:14:21 iter: 24519 total_loss: 1.457 loss_cls: 0.01736 loss_box_reg: 0.0347 loss_rpn_cls: 0.004686 loss_rpn_loc: 0.001591 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.01047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00212 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.689 time: 0.7424 last_time: 1.5172 data_time: 0.0160 last_data_time: 0.0103 lr: 0.01 max_mem: 20424M +[03/21 06:02:44] d2.utils.events INFO: eta: 10:13:43 iter: 24539 total_loss: 1.47 loss_cls: 0.01827 loss_box_reg: 0.03948 loss_rpn_cls: 0.004515 loss_rpn_loc: 0.001501 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.01306 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001496 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INFO: eta: 10:12:16 iter: 24599 total_loss: 1.461 loss_cls: 0.01318 loss_box_reg: 0.02819 loss_rpn_cls: 0.005776 loss_rpn_loc: 0.002118 loss_D_img_s: 0.6959 loss_cls_pseudo: 0.007117 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 0.7448 last_time: 1.4473 data_time: 0.0225 last_data_time: 0.0153 lr: 0.01 max_mem: 20424M +[03/21 06:04:40] d2.utils.events INFO: eta: 10:11:33 iter: 24619 total_loss: 1.461 loss_cls: 0.01303 loss_box_reg: 0.03018 loss_rpn_cls: 0.005097 loss_rpn_loc: 0.001898 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.008876 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002085 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 0.7453 last_time: 1.4676 data_time: 0.0184 last_data_time: 0.0097 lr: 0.01 max_mem: 20424M +[03/21 06:05:10] d2.utils.events INFO: eta: 10:11:04 iter: 24639 total_loss: 1.45 loss_cls: 0.01652 loss_box_reg: 0.0306 loss_rpn_cls: 0.003768 loss_rpn_loc: 0.001936 loss_D_img_s: 0.6954 loss_cls_pseudo: 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loss_box_reg: 0.02816 loss_rpn_cls: 0.004961 loss_rpn_loc: 0.001999 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.01205 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006786 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 0.7517 last_time: 1.4476 data_time: 0.0194 last_data_time: 0.0129 lr: 0.01 max_mem: 20424M +[03/21 06:10:31] d2.utils.events INFO: eta: 10:05:41 iter: 24859 total_loss: 1.456 loss_cls: 0.01279 loss_box_reg: 0.03093 loss_rpn_cls: 0.004281 loss_rpn_loc: 0.001642 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.01015 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002533 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.695 time: 0.7522 last_time: 1.3534 data_time: 0.0195 last_data_time: 0.0146 lr: 0.01 max_mem: 20424M +[03/21 06:11:01] d2.utils.events INFO: eta: 10:05:17 iter: 24879 total_loss: 1.46 loss_cls: 0.01288 loss_box_reg: 0.03001 loss_rpn_cls: 0.004135 loss_rpn_loc: 0.002053 loss_D_img_s: 0.69 loss_cls_pseudo: 0.01411 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002763 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.695 time: 0.7528 last_time: 1.5716 data_time: 0.0168 last_data_time: 0.0358 lr: 0.01 max_mem: 20424M +[03/21 06:11:30] d2.utils.events INFO: eta: 10:05:18 iter: 24899 total_loss: 1.465 loss_cls: 0.01679 loss_box_reg: 0.03416 loss_rpn_cls: 0.006244 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.01299 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6896 time: 0.7534 last_time: 1.3921 data_time: 0.0140 last_data_time: 0.0095 lr: 0.01 max_mem: 20424M +[03/21 06:12:00] d2.utils.events INFO: eta: 10:04:12 iter: 24919 total_loss: 1.467 loss_cls: 0.01992 loss_box_reg: 0.03319 loss_rpn_cls: 0.004409 loss_rpn_loc: 0.002421 loss_D_img_s: 0.6986 loss_cls_pseudo: 0.0139 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003294 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6848 time: 0.7540 last_time: 1.4387 data_time: 0.0234 last_data_time: 0.0446 lr: 0.01 max_mem: 20424M +[03/21 06:12:30] d2.utils.events INFO: eta: 10:03:46 iter: 24939 total_loss: 1.457 loss_cls: 0.01345 loss_box_reg: 0.02391 loss_rpn_cls: 0.004027 loss_rpn_loc: 0.001538 loss_D_img_s: 0.7011 loss_cls_pseudo: 0.01878 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004603 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6851 time: 0.7546 last_time: 1.3172 data_time: 0.0223 last_data_time: 0.0186 lr: 0.01 max_mem: 20424M +[03/21 06:12:59] d2.utils.events INFO: eta: 10:03:17 iter: 24959 total_loss: 1.464 loss_cls: 0.01633 loss_box_reg: 0.033 loss_rpn_cls: 0.004009 loss_rpn_loc: 0.00188 loss_D_img_s: 0.6977 loss_cls_pseudo: 0.007713 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002779 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 0.7551 last_time: 1.3742 data_time: 0.0192 last_data_time: 0.0237 lr: 0.01 max_mem: 20424M +[03/21 06:13:29] d2.utils.events INFO: eta: 10:03:20 iter: 24979 total_loss: 1.455 loss_cls: 0.0139 loss_box_reg: 0.02918 loss_rpn_cls: 0.003833 loss_rpn_loc: 0.002135 loss_D_img_s: 0.7005 loss_cls_pseudo: 0.009377 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001945 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6852 time: 0.7557 last_time: 1.5658 data_time: 0.0162 last_data_time: 0.0349 lr: 0.01 max_mem: 20424M +[03/21 06:13:58] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0024999.pth +[03/21 06:14:00] d2.data.common INFO: Serializing the dataset using: +[03/21 06:14:00] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 06:14:00] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 06:14:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 06:14:00] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 06:14:02] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 06:16:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:03.835072 (0.125339 s / iter per device, on 1 devices) +[03/21 06:16:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072275 s / iter per device, on 1 devices) +[03/21 06:16:05] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 06:16:05] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 06:16:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 06:16:05] d2.evaluation.testing INFO: copypaste: 0.3055,1.7496,0.0641 +[03/21 06:16:05] d2.data.common INFO: Serializing the dataset using: +[03/21 06:16:05] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 06:16:05] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 06:16:05] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 06:16:05] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 06:16:10] d2.evaluation.evaluator INFO: Inference done 26/993. 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ETA=0:00:01 +[03/21 06:18:08] d2.evaluation.evaluator INFO: Total inference time: 0:02:01.208566 (0.122681 s / iter per device, on 1 devices) +[03/21 06:18:08] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071035 s / iter per device, on 1 devices) +[03/21 06:18:08] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 06:18:08] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 06:18:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 06:18:08] d2.evaluation.testing INFO: copypaste: 0.5685,2.4532,0.0681 +[03/21 06:18:08] d2.utils.events INFO: eta: 10:02:49 iter: 24999 total_loss: 1.458 loss_cls: 0.01109 loss_box_reg: 0.02586 loss_rpn_cls: 0.003697 loss_rpn_loc: 0.001591 loss_D_img_s: 0.693 loss_cls_pseudo: 0.01381 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004492 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 0.7563 last_time: 1.4639 data_time: 0.0222 last_data_time: 0.0357 lr: 0.01 max_mem: 20424M +[03/21 06:18:36] d2.utils.events INFO: eta: 10:02:09 iter: 25019 total_loss: 1.446 loss_cls: 0.01153 loss_box_reg: 0.03013 loss_rpn_cls: 0.005607 loss_rpn_loc: 0.001934 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.007526 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002198 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 0.7568 last_time: 1.3989 data_time: 0.0174 last_data_time: 0.0110 lr: 0.01 max_mem: 20424M +[03/21 06:19:04] d2.utils.events INFO: eta: 10:01:54 iter: 25039 total_loss: 1.46 loss_cls: 0.01249 loss_box_reg: 0.02526 loss_rpn_cls: 0.004684 loss_rpn_loc: 0.001414 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.01043 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003186 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6856 time: 0.7573 last_time: 1.3797 data_time: 0.0187 last_data_time: 0.0222 lr: 0.01 max_mem: 20424M +[03/21 06:19:32] d2.utils.events INFO: eta: 10:01:02 iter: 25059 total_loss: 1.459 loss_cls: 0.01134 loss_box_reg: 0.02524 loss_rpn_cls: 0.006242 loss_rpn_loc: 0.002602 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.008615 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002371 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 0.7578 last_time: 1.3910 data_time: 0.0194 last_data_time: 0.0095 lr: 0.01 max_mem: 20424M +[03/21 06:20:00] d2.utils.events INFO: eta: 10:00:53 iter: 25079 total_loss: 1.443 loss_cls: 0.01117 loss_box_reg: 0.03012 loss_rpn_cls: 0.002567 loss_rpn_loc: 0.001624 loss_D_img_s: 0.7042 loss_cls_pseudo: 0.008004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001715 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6812 time: 0.7584 last_time: 1.3228 data_time: 0.0195 last_data_time: 0.0308 lr: 0.01 max_mem: 20424M +[03/21 06:20:29] d2.utils.events INFO: eta: 10:00:04 iter: 25099 total_loss: 1.466 loss_cls: 0.01267 loss_box_reg: 0.03597 loss_rpn_cls: 0.003429 loss_rpn_loc: 0.001647 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.01075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007033 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6846 time: 0.7589 last_time: 1.3970 data_time: 0.0129 last_data_time: 0.0102 lr: 0.01 max_mem: 20424M +[03/21 06:20:58] d2.utils.events INFO: eta: 9:59:31 iter: 25119 total_loss: 1.478 loss_cls: 0.01258 loss_box_reg: 0.02716 loss_rpn_cls: 0.003959 loss_rpn_loc: 0.001522 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.0202 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004914 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6899 time: 0.7594 last_time: 1.4157 data_time: 0.0191 last_data_time: 0.0317 lr: 0.01 max_mem: 20424M +[03/21 06:21:27] d2.utils.events INFO: eta: 9:59:18 iter: 25139 total_loss: 1.452 loss_cls: 0.01564 loss_box_reg: 0.02684 loss_rpn_cls: 0.004713 loss_rpn_loc: 0.002001 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.01367 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003169 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.7600 last_time: 1.4163 data_time: 0.0218 last_data_time: 0.0187 lr: 0.01 max_mem: 20424M +[03/21 06:21:55] d2.utils.events INFO: eta: 9:58:49 iter: 25159 total_loss: 1.481 loss_cls: 0.01586 loss_box_reg: 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loss_rpn_cls_pseudo: 0.002325 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6855 time: 0.7643 last_time: 1.3120 data_time: 0.0217 last_data_time: 0.0100 lr: 0.01 max_mem: 20424M +[03/21 06:25:48] d2.utils.events INFO: eta: 9:55:27 iter: 25319 total_loss: 1.452 loss_cls: 0.01413 loss_box_reg: 0.03152 loss_rpn_cls: 0.002907 loss_rpn_loc: 0.00185 loss_D_img_s: 0.6955 loss_cls_pseudo: 0.01174 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00235 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.7649 last_time: 1.4287 data_time: 0.0167 last_data_time: 0.0172 lr: 0.01 max_mem: 20424M +[03/21 06:26:17] d2.utils.events INFO: eta: 9:55:26 iter: 25339 total_loss: 1.457 loss_cls: 0.01254 loss_box_reg: 0.03657 loss_rpn_cls: 0.002548 loss_rpn_loc: 0.001603 loss_D_img_s: 0.691 loss_cls_pseudo: 0.01214 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001683 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 0.7654 last_time: 1.1368 data_time: 0.0143 last_data_time: 0.0093 lr: 0.01 max_mem: 20424M +[03/21 06:26:46] d2.utils.events INFO: eta: 9:55:00 iter: 25359 total_loss: 1.478 loss_cls: 0.01845 loss_box_reg: 0.03368 loss_rpn_cls: 0.00596 loss_rpn_loc: 0.002721 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.01638 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003995 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 0.7660 last_time: 1.3007 data_time: 0.0244 last_data_time: 0.0274 lr: 0.01 max_mem: 20424M +[03/21 06:27:14] d2.utils.events INFO: eta: 9:53:55 iter: 25379 total_loss: 1.463 loss_cls: 0.01318 loss_box_reg: 0.02622 loss_rpn_cls: 0.005679 loss_rpn_loc: 0.00157 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.02229 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004643 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7001 time: 0.7665 last_time: 1.4881 data_time: 0.0201 last_data_time: 0.0118 lr: 0.01 max_mem: 20424M +[03/21 06:27:43] d2.utils.events INFO: eta: 9:53:36 iter: 25399 total_loss: 1.45 loss_cls: 0.01327 loss_box_reg: 0.02801 loss_rpn_cls: 0.003447 loss_rpn_loc: 0.00171 loss_D_img_s: 0.676 loss_cls_pseudo: 0.01431 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003929 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7049 time: 0.7670 last_time: 1.6512 data_time: 0.0168 last_data_time: 0.0108 lr: 0.01 max_mem: 20424M +[03/21 06:28:13] d2.utils.events INFO: eta: 9:54:07 iter: 25419 total_loss: 1.462 loss_cls: 0.01092 loss_box_reg: 0.02888 loss_rpn_cls: 0.004128 loss_rpn_loc: 0.001538 loss_D_img_s: 0.7012 loss_cls_pseudo: 0.01217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004297 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 0.7676 last_time: 1.5057 data_time: 0.0176 last_data_time: 0.0127 lr: 0.01 max_mem: 20424M +[03/21 06:28:42] d2.utils.events INFO: eta: 9:53:08 iter: 25439 total_loss: 1.469 loss_cls: 0.01362 loss_box_reg: 0.03256 loss_rpn_cls: 0.003948 loss_rpn_loc: 0.001583 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01926 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003381 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.7681 last_time: 1.2243 data_time: 0.0217 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max_mem: 20424M +[03/21 06:37:25] d2.utils.events INFO: eta: 9:43:01 iter: 25799 total_loss: 1.471 loss_cls: 0.01727 loss_box_reg: 0.03921 loss_rpn_cls: 0.006993 loss_rpn_loc: 0.001725 loss_D_img_s: 0.6895 loss_cls_pseudo: 0.01254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002592 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6958 time: 0.7777 last_time: 1.4931 data_time: 0.0229 last_data_time: 0.0174 lr: 0.01 max_mem: 20424M +[03/21 06:37:54] d2.utils.events INFO: eta: 9:42:17 iter: 25819 total_loss: 1.459 loss_cls: 0.01781 loss_box_reg: 0.03348 loss_rpn_cls: 0.00579 loss_rpn_loc: 0.00213 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.01106 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6868 time: 0.7782 last_time: 1.3917 data_time: 0.0255 last_data_time: 0.0476 lr: 0.01 max_mem: 20424M +[03/21 06:38:23] d2.utils.events INFO: eta: 9:41:57 iter: 25839 total_loss: 1.436 loss_cls: 0.01013 loss_box_reg: 0.01867 loss_rpn_cls: 0.003246 loss_rpn_loc: 0.001633 loss_D_img_s: 0.7002 loss_cls_pseudo: 0.004679 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003083 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.7787 last_time: 1.4381 data_time: 0.0153 last_data_time: 0.0102 lr: 0.01 max_mem: 20424M +[03/21 06:38:52] d2.utils.events INFO: eta: 9:41:28 iter: 25859 total_loss: 1.456 loss_cls: 0.01111 loss_box_reg: 0.03022 loss_rpn_cls: 0.003062 loss_rpn_loc: 0.001666 loss_D_img_s: 0.6829 loss_cls_pseudo: 0.009122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002477 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7063 time: 0.7792 last_time: 1.4876 data_time: 0.0182 last_data_time: 0.0143 lr: 0.01 max_mem: 20424M +[03/21 06:39:21] d2.utils.events INFO: eta: 9:41:02 iter: 25879 total_loss: 1.453 loss_cls: 0.01156 loss_box_reg: 0.02412 loss_rpn_cls: 0.003212 loss_rpn_loc: 0.001431 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.01163 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004297 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 0.7797 last_time: 1.5200 data_time: 0.0154 last_data_time: 0.0122 lr: 0.01 max_mem: 20424M +[03/21 06:39:50] d2.utils.events INFO: eta: 9:40:17 iter: 25899 total_loss: 1.456 loss_cls: 0.01247 loss_box_reg: 0.0347 loss_rpn_cls: 0.002996 loss_rpn_loc: 0.001992 loss_D_img_s: 0.6884 loss_cls_pseudo: 0.006717 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 0.7803 last_time: 1.4949 data_time: 0.0147 last_data_time: 0.0105 lr: 0.01 max_mem: 20424M +[03/21 06:40:19] d2.utils.events INFO: eta: 9:39:41 iter: 25919 total_loss: 1.453 loss_cls: 0.01156 loss_box_reg: 0.03313 loss_rpn_cls: 0.003882 loss_rpn_loc: 0.001637 loss_D_img_s: 0.6985 loss_cls_pseudo: 0.01072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 0.7808 last_time: 1.5974 data_time: 0.0153 last_data_time: 0.0149 lr: 0.01 max_mem: 20424M +[03/21 06:40:49] d2.utils.events INFO: eta: 9:39:12 iter: 25939 total_loss: 1.452 loss_cls: 0.0131 loss_box_reg: 0.03479 loss_rpn_cls: 0.003668 loss_rpn_loc: 0.001734 loss_D_img_s: 0.6628 loss_cls_pseudo: 0.007726 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001411 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7212 time: 0.7813 last_time: 1.2913 data_time: 0.0183 last_data_time: 0.0128 lr: 0.01 max_mem: 20424M +[03/21 06:41:18] d2.utils.events INFO: eta: 9:38:36 iter: 25959 total_loss: 1.466 loss_cls: 0.01509 loss_box_reg: 0.03994 loss_rpn_cls: 0.003742 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.004838 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001174 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6872 time: 0.7818 last_time: 1.4884 data_time: 0.0216 last_data_time: 0.0115 lr: 0.01 max_mem: 20424M +[03/21 06:41:47] d2.utils.events INFO: eta: 9:38:06 iter: 25979 total_loss: 1.44 loss_cls: 0.01323 loss_box_reg: 0.0281 loss_rpn_cls: 0.003727 loss_rpn_loc: 0.001565 loss_D_img_s: 0.7134 loss_cls_pseudo: 0.008132 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002037 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6725 time: 0.7824 last_time: 1.1887 data_time: 0.0172 last_data_time: 0.0099 lr: 0.01 max_mem: 20424M +[03/21 06:42:15] d2.data.common INFO: Serializing the dataset using: +[03/21 06:42:15] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 06:42:15] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 06:42:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 06:42:15] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 06:42:18] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:03 +[03/21 06:44:23] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.628946 (0.128167 s / iter per device, on 1 devices) +[03/21 06:44:23] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071803 s / iter per device, on 1 devices) +[03/21 06:44:23] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 06:44:23] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 06:44:23] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 06:44:23] d2.evaluation.testing INFO: copypaste: 0.5163,2.6196,0.0000 +[03/21 06:44:24] d2.data.common INFO: Serializing the dataset using: +[03/21 06:44:24] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 06:44:24] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 06:44:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 06:44:24] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 06:44:26] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 06:46:32] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.019176 (0.128562 s / iter per device, on 1 devices) +[03/21 06:46:32] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.072947 s / iter per device, on 1 devices) +[03/21 06:46:32] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 06:46:32] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 06:46:32] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 06:46:32] d2.evaluation.testing INFO: copypaste: 0.5831,2.4286,0.0612 +[03/21 06:46:32] d2.utils.events INFO: eta: 9:37:28 iter: 25999 total_loss: 1.466 loss_cls: 0.009639 loss_box_reg: 0.02864 loss_rpn_cls: 0.003824 loss_rpn_loc: 0.001477 loss_D_img_s: 0.688 loss_cls_pseudo: 0.01533 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004916 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6974 time: 0.7828 last_time: 1.5017 data_time: 0.0177 last_data_time: 0.0097 lr: 0.01 max_mem: 20424M +[03/21 06:47:00] d2.utils.events INFO: eta: 9:36:59 iter: 26019 total_loss: 1.463 loss_cls: 0.01295 loss_box_reg: 0.02888 loss_rpn_cls: 0.002641 loss_rpn_loc: 0.001155 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.01827 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004908 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7065 time: 0.7833 last_time: 1.4308 data_time: 0.0182 last_data_time: 0.0217 lr: 0.01 max_mem: 20424M +[03/21 06:47:28] d2.utils.events INFO: eta: 9:36:35 iter: 26039 total_loss: 1.438 loss_cls: 0.01323 loss_box_reg: 0.03064 loss_rpn_cls: 0.004898 loss_rpn_loc: 0.002607 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.0065 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001701 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.7837 last_time: 1.4590 data_time: 0.0219 last_data_time: 0.0136 lr: 0.01 max_mem: 20424M +[03/21 06:47:55] d2.utils.events INFO: eta: 9:36:06 iter: 26059 total_loss: 1.465 loss_cls: 0.01523 loss_box_reg: 0.03124 loss_rpn_cls: 0.004991 loss_rpn_loc: 0.001589 loss_D_img_s: 0.7126 loss_cls_pseudo: 0.01466 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003436 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6735 time: 0.7842 last_time: 1.3578 data_time: 0.0204 last_data_time: 0.0335 lr: 0.01 max_mem: 20424M +[03/21 06:48:24] d2.utils.events INFO: eta: 9:35:41 iter: 26079 total_loss: 1.472 loss_cls: 0.01871 loss_box_reg: 0.0295 loss_rpn_cls: 0.004975 loss_rpn_loc: 0.00177 loss_D_img_s: 0.6875 loss_cls_pseudo: 0.008103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.696 time: 0.7847 last_time: 1.3854 data_time: 0.0196 last_data_time: 0.0152 lr: 0.01 max_mem: 20424M +[03/21 06:48:53] d2.utils.events INFO: eta: 9:35:14 iter: 26099 total_loss: 1.454 loss_cls: 0.0123 loss_box_reg: 0.02937 loss_rpn_cls: 0.005115 loss_rpn_loc: 0.001546 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.01779 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004565 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 0.7852 last_time: 1.4490 data_time: 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loss_rpn_cls_pseudo: 0.004635 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 0.8011 last_time: 1.3493 data_time: 0.0155 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 07:04:51] d2.utils.events INFO: eta: 9:19:06 iter: 26759 total_loss: 1.454 loss_cls: 0.01279 loss_box_reg: 0.0302 loss_rpn_cls: 0.0039 loss_rpn_loc: 0.002068 loss_D_img_s: 0.6955 loss_cls_pseudo: 0.00831 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002663 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 0.8016 last_time: 1.5175 data_time: 0.0185 last_data_time: 0.0215 lr: 0.01 max_mem: 20425M +[03/21 07:05:20] d2.utils.events INFO: eta: 9:18:41 iter: 26779 total_loss: 1.458 loss_cls: 0.01703 loss_box_reg: 0.03409 loss_rpn_cls: 0.005449 loss_rpn_loc: 0.002144 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.01208 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004454 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.689 time: 0.8021 last_time: 1.4574 data_time: 0.0243 last_data_time: 0.0091 lr: 0.01 max_mem: 20425M +[03/21 07:05:49] d2.utils.events INFO: eta: 9:18:12 iter: 26799 total_loss: 1.457 loss_cls: 0.01574 loss_box_reg: 0.0332 loss_rpn_cls: 0.003903 loss_rpn_loc: 0.001836 loss_D_img_s: 0.6778 loss_cls_pseudo: 0.006851 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002488 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7111 time: 0.8026 last_time: 1.5688 data_time: 0.0197 last_data_time: 0.0167 lr: 0.01 max_mem: 20425M +[03/21 07:06:18] d2.utils.events INFO: eta: 9:18:44 iter: 26819 total_loss: 1.475 loss_cls: 0.01712 loss_box_reg: 0.03527 loss_rpn_cls: 0.006374 loss_rpn_loc: 0.001949 loss_D_img_s: 0.7088 loss_cls_pseudo: 0.01628 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006447 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6723 time: 0.8031 last_time: 1.5541 data_time: 0.0189 last_data_time: 0.0208 lr: 0.01 max_mem: 20425M +[03/21 07:06:48] d2.utils.events INFO: eta: 9:18:50 iter: 26839 total_loss: 1.442 loss_cls: 0.01028 loss_box_reg: 0.02459 loss_rpn_cls: 0.00362 loss_rpn_loc: 0.001529 loss_D_img_s: 0.6699 loss_cls_pseudo: 0.006614 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002061 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7142 time: 0.8036 last_time: 1.5719 data_time: 0.0213 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 07:07:18] d2.utils.events INFO: eta: 9:18:21 iter: 26859 total_loss: 1.452 loss_cls: 0.01027 loss_box_reg: 0.02709 loss_rpn_cls: 0.002824 loss_rpn_loc: 0.001643 loss_D_img_s: 0.6793 loss_cls_pseudo: 0.01192 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003124 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7052 time: 0.8041 last_time: 1.4389 data_time: 0.0252 last_data_time: 0.0241 lr: 0.01 max_mem: 20425M +[03/21 07:07:47] d2.utils.events INFO: eta: 9:16:55 iter: 26879 total_loss: 1.455 loss_cls: 0.01381 loss_box_reg: 0.02931 loss_rpn_cls: 0.004668 loss_rpn_loc: 0.001548 loss_D_img_s: 0.703 loss_cls_pseudo: 0.01527 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004384 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 0.8046 last_time: 1.5127 data_time: 0.0257 last_data_time: 0.0261 lr: 0.01 max_mem: 20425M +[03/21 07:08:16] d2.utils.events INFO: eta: 9:17:11 iter: 26899 total_loss: 1.486 loss_cls: 0.01679 loss_box_reg: 0.04049 loss_rpn_cls: 0.004221 loss_rpn_loc: 0.001959 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.01448 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003324 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6862 time: 0.8051 last_time: 1.4573 data_time: 0.0263 last_data_time: 0.0266 lr: 0.01 max_mem: 20425M +[03/21 07:08:44] d2.utils.events INFO: eta: 9:16:03 iter: 26919 total_loss: 1.46 loss_cls: 0.01415 loss_box_reg: 0.03109 loss_rpn_cls: 0.005881 loss_rpn_loc: 0.002198 loss_D_img_s: 0.6697 loss_cls_pseudo: 0.0143 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005139 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.713 time: 0.8055 last_time: 1.4678 data_time: 0.0235 last_data_time: 0.0236 lr: 0.01 max_mem: 20425M +[03/21 07:09:14] d2.utils.events INFO: eta: 9:15:51 iter: 26939 total_loss: 1.472 loss_cls: 0.01796 loss_box_reg: 0.03445 loss_rpn_cls: 0.005041 loss_rpn_loc: 0.002033 loss_D_img_s: 0.7033 loss_cls_pseudo: 0.01465 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002783 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6806 time: 0.8060 last_time: 1.5651 data_time: 0.0150 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 07:09:43] d2.utils.events INFO: eta: 9:15:02 iter: 26959 total_loss: 1.455 loss_cls: 0.0146 loss_box_reg: 0.02972 loss_rpn_cls: 0.006799 loss_rpn_loc: 0.00206 loss_D_img_s: 0.6548 loss_cls_pseudo: 0.01021 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002212 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7293 time: 0.8065 last_time: 1.3156 data_time: 0.0266 last_data_time: 0.0255 lr: 0.01 max_mem: 20425M +[03/21 07:10:12] d2.utils.events INFO: eta: 9:14:24 iter: 26979 total_loss: 1.45 loss_cls: 0.01166 loss_box_reg: 0.02302 loss_rpn_cls: 0.003765 loss_rpn_loc: 0.001308 loss_D_img_s: 0.6817 loss_cls_pseudo: 0.01038 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003193 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7029 time: 0.8070 last_time: 1.4667 data_time: 0.0203 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 07:10:42] d2.data.common INFO: Serializing the dataset using: +[03/21 07:10:42] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 07:10:42] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 07:10:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 07:10:42] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 07:10:44] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 07:12:50] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.008830 (0.128551 s / iter per device, on 1 devices) +[03/21 07:12:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073530 s / iter per device, on 1 devices) +[03/21 07:12:51] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 07:12:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 07:12:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 07:12:51] d2.evaluation.testing INFO: copypaste: 0.2546,0.7723,0.1079 +[03/21 07:12:51] d2.data.common INFO: Serializing the dataset using: +[03/21 07:12:51] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 07:12:51] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 07:12:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 07:12:51] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 07:12:53] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:03 +[03/21 07:15:00] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.419983 (0.128968 s / iter per device, on 1 devices) +[03/21 07:15:00] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074002 s / iter per device, on 1 devices) +[03/21 07:15:00] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 07:15:00] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 07:15:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 07:15:00] d2.evaluation.testing INFO: copypaste: 0.4249,1.6000,0.0871 +[03/21 07:15:00] d2.utils.events INFO: eta: 9:14:15 iter: 26999 total_loss: 1.467 loss_cls: 0.01267 loss_box_reg: 0.03569 loss_rpn_cls: 0.003618 loss_rpn_loc: 0.00209 loss_D_img_s: 0.6746 loss_cls_pseudo: 0.009887 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002296 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7163 time: 0.8075 last_time: 1.4625 data_time: 0.0170 last_data_time: 0.0095 lr: 0.01 max_mem: 20425M +[03/21 07:15:27] d2.utils.events INFO: eta: 9:14:02 iter: 27019 total_loss: 1.446 loss_cls: 0.01031 loss_box_reg: 0.02981 loss_rpn_cls: 0.002727 loss_rpn_loc: 0.002004 loss_D_img_s: 0.6973 loss_cls_pseudo: 0.01383 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003132 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.684 time: 0.8079 last_time: 1.2596 data_time: 0.0161 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 07:15:54] d2.utils.events INFO: eta: 9:13:07 iter: 27039 total_loss: 1.46 loss_cls: 0.01713 loss_box_reg: 0.0318 loss_rpn_cls: 0.00475 loss_rpn_loc: 0.001905 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.009142 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001594 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6875 time: 0.8083 last_time: 1.2122 data_time: 0.0232 last_data_time: 0.0323 lr: 0.01 max_mem: 20425M +[03/21 07:16:21] d2.utils.events INFO: eta: 9:12:21 iter: 27059 total_loss: 1.463 loss_cls: 0.01193 loss_box_reg: 0.03063 loss_rpn_cls: 0.003855 loss_rpn_loc: 0.00159 loss_D_img_s: 0.6762 loss_cls_pseudo: 0.01245 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003209 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7066 time: 0.8087 last_time: 1.3939 data_time: 0.0301 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 07:16:50] d2.utils.events INFO: eta: 9:11:36 iter: 27079 total_loss: 1.443 loss_cls: 0.0132 loss_box_reg: 0.02875 loss_rpn_cls: 0.003583 loss_rpn_loc: 0.001753 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.008916 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001736 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 0.8092 last_time: 1.3741 data_time: 0.0214 last_data_time: 0.0424 lr: 0.01 max_mem: 20425M +[03/21 07:17:19] d2.utils.events INFO: eta: 9:11:33 iter: 27099 total_loss: 1.461 loss_cls: 0.01306 loss_box_reg: 0.02431 loss_rpn_cls: 0.00452 loss_rpn_loc: 0.001525 loss_D_img_s: 0.6782 loss_cls_pseudo: 0.01054 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003019 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7004 time: 0.8096 last_time: 1.3958 data_time: 0.0151 last_data_time: 0.0200 lr: 0.01 max_mem: 20425M +[03/21 07:17:48] d2.utils.events INFO: eta: 9:10:27 iter: 27119 total_loss: 1.456 loss_cls: 0.01613 loss_box_reg: 0.03006 loss_rpn_cls: 0.005318 loss_rpn_loc: 0.002187 loss_D_img_s: 0.7074 loss_cls_pseudo: 0.01155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002909 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 0.8101 last_time: 1.3757 data_time: 0.0169 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 07:18:17] d2.utils.events INFO: eta: 9:10:30 iter: 27139 total_loss: 1.45 loss_cls: 0.01105 loss_box_reg: 0.02637 loss_rpn_cls: 0.003863 loss_rpn_loc: 0.001996 loss_D_img_s: 0.6995 loss_cls_pseudo: 0.01213 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003372 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 0.8106 last_time: 1.4584 data_time: 0.0165 last_data_time: 0.0385 lr: 0.01 max_mem: 20425M +[03/21 07:18:46] d2.utils.events INFO: eta: 9:09:41 iter: 27159 total_loss: 1.442 loss_cls: 0.008748 loss_box_reg: 0.02503 loss_rpn_cls: 0.003076 loss_rpn_loc: 0.001728 loss_D_img_s: 0.6793 loss_cls_pseudo: 0.007632 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00181 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7062 time: 0.8110 last_time: 1.3432 data_time: 0.0213 last_data_time: 0.0250 lr: 0.01 max_mem: 20425M +[03/21 07:19:14] d2.utils.events INFO: eta: 9:09:12 iter: 27179 total_loss: 1.457 loss_cls: 0.01359 loss_box_reg: 0.03123 loss_rpn_cls: 0.003558 loss_rpn_loc: 0.002017 loss_D_img_s: 0.706 loss_cls_pseudo: 0.01206 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004287 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6732 time: 0.8115 last_time: 1.4164 data_time: 0.0206 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 07:19:44] d2.utils.events INFO: eta: 9:09:09 iter: 27199 total_loss: 1.449 loss_cls: 0.01266 loss_box_reg: 0.02654 loss_rpn_cls: 0.005611 loss_rpn_loc: 0.002186 loss_D_img_s: 0.6694 loss_cls_pseudo: 0.008241 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001811 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7098 time: 0.8120 last_time: 1.4071 data_time: 0.0183 last_data_time: 0.0130 lr: 0.01 max_mem: 20425M +[03/21 07:20:12] d2.utils.events INFO: eta: 9:08:02 iter: 27219 total_loss: 1.455 loss_cls: 0.01336 loss_box_reg: 0.02763 loss_rpn_cls: 0.004648 loss_rpn_loc: 0.002031 loss_D_img_s: 0.7186 loss_cls_pseudo: 0.009391 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002104 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6682 time: 0.8124 last_time: 1.4664 data_time: 0.0173 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 07:20:42] d2.utils.events INFO: eta: 9:08:18 iter: 27239 total_loss: 1.46 loss_cls: 0.01357 loss_box_reg: 0.03405 loss_rpn_cls: 0.006224 loss_rpn_loc: 0.002026 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.01238 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001496 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 0.8129 last_time: 1.4625 data_time: 0.0127 last_data_time: 0.0175 lr: 0.01 max_mem: 20425M +[03/21 07:21:11] d2.utils.events INFO: eta: 9:07:56 iter: 27259 total_loss: 1.45 loss_cls: 0.009489 loss_box_reg: 0.02538 loss_rpn_cls: 0.00589 loss_rpn_loc: 0.001656 loss_D_img_s: 0.7 loss_cls_pseudo: 0.01286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002504 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.8134 last_time: 1.5026 data_time: 0.0196 last_data_time: 0.0117 lr: 0.01 max_mem: 20425M +[03/21 07:21:39] d2.utils.events INFO: eta: 9:07:16 iter: 27279 total_loss: 1.465 loss_cls: 0.01228 loss_box_reg: 0.02432 loss_rpn_cls: 0.004498 loss_rpn_loc: 0.001789 loss_D_img_s: 0.6885 loss_cls_pseudo: 0.009421 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00389 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 0.8138 last_time: 1.2589 data_time: 0.0190 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 07:22:08] d2.utils.events INFO: eta: 9:06:51 iter: 27299 total_loss: 1.456 loss_cls: 0.01154 loss_box_reg: 0.02926 loss_rpn_cls: 0.003642 loss_rpn_loc: 0.002187 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01244 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002243 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.8143 last_time: 1.3468 data_time: 0.0149 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 07:22:36] d2.utils.events INFO: eta: 9:06:18 iter: 27319 total_loss: 1.451 loss_cls: 0.0144 loss_box_reg: 0.03734 loss_rpn_cls: 0.004792 loss_rpn_loc: 0.001892 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.007396 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001419 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 0.8147 last_time: 1.5443 data_time: 0.0237 last_data_time: 0.0223 lr: 0.01 max_mem: 20425M +[03/21 07:23:05] d2.utils.events INFO: eta: 9:06:01 iter: 27339 total_loss: 1.464 loss_cls: 0.01261 loss_box_reg: 0.03088 loss_rpn_cls: 0.004528 loss_rpn_loc: 0.002283 loss_D_img_s: 0.7077 loss_cls_pseudo: 0.01878 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004867 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6727 time: 0.8152 last_time: 1.4366 data_time: 0.0213 last_data_time: 0.0211 lr: 0.01 max_mem: 20425M +[03/21 07:23:35] d2.utils.events INFO: eta: 9:05:48 iter: 27359 total_loss: 1.469 loss_cls: 0.01392 loss_box_reg: 0.03058 loss_rpn_cls: 0.005761 loss_rpn_loc: 0.001816 loss_D_img_s: 0.6845 loss_cls_pseudo: 0.01189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003274 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7007 time: 0.8157 last_time: 1.3775 data_time: 0.0220 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 07:24:03] d2.utils.events INFO: eta: 9:05:19 iter: 27379 total_loss: 1.457 loss_cls: 0.01329 loss_box_reg: 0.0265 loss_rpn_cls: 0.003839 loss_rpn_loc: 0.002134 loss_D_img_s: 0.6753 loss_cls_pseudo: 0.009887 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003354 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7112 time: 0.8161 last_time: 1.2666 data_time: 0.0199 last_data_time: 0.0245 lr: 0.01 max_mem: 20425M +[03/21 07:24:32] d2.utils.events INFO: eta: 9:04:39 iter: 27399 total_loss: 1.458 loss_cls: 0.01041 loss_box_reg: 0.02795 loss_rpn_cls: 0.003203 loss_rpn_loc: 0.001701 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.009792 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6952 time: 0.8166 last_time: 1.4078 data_time: 0.0145 last_data_time: 0.0266 lr: 0.01 max_mem: 20425M +[03/21 07:25:00] d2.utils.events INFO: eta: 9:04:05 iter: 27419 total_loss: 1.452 loss_cls: 0.009718 loss_box_reg: 0.02516 loss_rpn_cls: 0.00367 loss_rpn_loc: 0.001447 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.01283 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6892 time: 0.8170 last_time: 1.3475 data_time: 0.0169 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 07:25:29] d2.utils.events INFO: eta: 9:03:33 iter: 27439 total_loss: 1.461 loss_cls: 0.01302 loss_box_reg: 0.02831 loss_rpn_cls: 0.00469 loss_rpn_loc: 0.001623 loss_D_img_s: 0.6997 loss_cls_pseudo: 0.01198 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002123 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.8174 last_time: 1.5648 data_time: 0.0187 last_data_time: 0.0323 lr: 0.01 max_mem: 20425M +[03/21 07:25:58] d2.utils.events INFO: eta: 9:03:00 iter: 27459 total_loss: 1.466 loss_cls: 0.01646 loss_box_reg: 0.03405 loss_rpn_cls: 0.004691 loss_rpn_loc: 0.001939 loss_D_img_s: 0.6663 loss_cls_pseudo: 0.01131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005107 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7157 time: 0.8179 last_time: 1.3667 data_time: 0.0162 last_data_time: 0.0152 lr: 0.01 max_mem: 20425M +[03/21 07:26:27] d2.utils.events INFO: eta: 9:02:43 iter: 27479 total_loss: 1.449 loss_cls: 0.008482 loss_box_reg: 0.02629 loss_rpn_cls: 0.003124 loss_rpn_loc: 0.001519 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.01132 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001187 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 0.8184 last_time: 1.4666 data_time: 0.0232 last_data_time: 0.0096 lr: 0.01 max_mem: 20425M +[03/21 07:26:56] d2.utils.events INFO: eta: 9:02:46 iter: 27499 total_loss: 1.459 loss_cls: 0.01507 loss_box_reg: 0.03231 loss_rpn_cls: 0.004822 loss_rpn_loc: 0.002253 loss_D_img_s: 0.7091 loss_cls_pseudo: 0.01248 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002766 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 0.8188 last_time: 1.5048 data_time: 0.0205 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 07:27:25] d2.utils.events INFO: eta: 9:02:17 iter: 27519 total_loss: 1.44 loss_cls: 0.01097 loss_box_reg: 0.02702 loss_rpn_cls: 0.003089 loss_rpn_loc: 0.001692 loss_D_img_s: 0.6908 loss_cls_pseudo: 0.005278 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001641 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 0.8193 last_time: 1.4445 data_time: 0.0158 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 07:27:54] d2.utils.events INFO: eta: 9:01:28 iter: 27539 total_loss: 1.45 loss_cls: 0.01045 loss_box_reg: 0.03085 loss_rpn_cls: 0.002719 loss_rpn_loc: 0.001631 loss_D_img_s: 0.7 loss_cls_pseudo: 0.01534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 0.8197 last_time: 1.5493 data_time: 0.0240 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 07:28:23] d2.utils.events INFO: eta: 9:00:47 iter: 27559 total_loss: 1.456 loss_cls: 0.0136 loss_box_reg: 0.03033 loss_rpn_cls: 0.003238 loss_rpn_loc: 0.00188 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.007595 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001754 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 0.8202 last_time: 1.4082 data_time: 0.0193 last_data_time: 0.0648 lr: 0.01 max_mem: 20425M +[03/21 07:28:52] d2.utils.events INFO: eta: 9:00:14 iter: 27579 total_loss: 1.44 loss_cls: 0.01113 loss_box_reg: 0.02293 loss_rpn_cls: 0.003542 loss_rpn_loc: 0.001735 loss_D_img_s: 0.6757 loss_cls_pseudo: 0.00683 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001765 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7091 time: 0.8207 last_time: 1.3306 data_time: 0.0156 last_data_time: 0.0179 lr: 0.01 max_mem: 20425M +[03/21 07:29:20] d2.utils.events INFO: eta: 8:59:37 iter: 27599 total_loss: 1.446 loss_cls: 0.008849 loss_box_reg: 0.02172 loss_rpn_cls: 0.00409 loss_rpn_loc: 0.001351 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.01017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 0.8211 last_time: 1.4596 data_time: 0.0209 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 07:29:50] d2.utils.events INFO: eta: 8:59:01 iter: 27619 total_loss: 1.452 loss_cls: 0.01111 loss_box_reg: 0.02282 loss_rpn_cls: 0.005767 loss_rpn_loc: 0.001962 loss_D_img_s: 0.6877 loss_cls_pseudo: 0.007454 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002539 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7026 time: 0.8216 last_time: 1.4692 data_time: 0.0223 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 07:30:19] d2.utils.events INFO: eta: 8:58:35 iter: 27639 total_loss: 1.449 loss_cls: 0.0137 loss_box_reg: 0.0259 loss_rpn_cls: 0.003457 loss_rpn_loc: 0.002588 loss_D_img_s: 0.7109 loss_cls_pseudo: 0.01576 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6727 time: 0.8220 last_time: 1.5737 data_time: 0.0188 last_data_time: 0.0409 lr: 0.01 max_mem: 20425M +[03/21 07:30:48] d2.utils.events INFO: eta: 8:57:18 iter: 27659 total_loss: 1.458 loss_cls: 0.009429 loss_box_reg: 0.02641 loss_rpn_cls: 0.003296 loss_rpn_loc: 0.001675 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.009151 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002741 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 0.8225 last_time: 1.4108 data_time: 0.0132 last_data_time: 0.0091 lr: 0.01 max_mem: 20425M +[03/21 07:31:17] d2.utils.events INFO: eta: 8:56:47 iter: 27679 total_loss: 1.464 loss_cls: 0.01517 loss_box_reg: 0.03361 loss_rpn_cls: 0.003518 loss_rpn_loc: 0.002208 loss_D_img_s: 0.6542 loss_cls_pseudo: 0.01431 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003031 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7324 time: 0.8229 last_time: 1.5856 data_time: 0.0164 last_data_time: 0.0209 lr: 0.01 max_mem: 20425M +[03/21 07:31:47] d2.utils.events INFO: eta: 8:56:52 iter: 27699 total_loss: 1.459 loss_cls: 0.01014 loss_box_reg: 0.03152 loss_rpn_cls: 0.003693 loss_rpn_loc: 0.001817 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.01433 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006194 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 0.8234 last_time: 1.6132 data_time: 0.0189 last_data_time: 0.0588 lr: 0.01 max_mem: 20425M +[03/21 07:32:15] d2.utils.events INFO: eta: 8:55:49 iter: 27719 total_loss: 1.446 loss_cls: 0.01331 loss_box_reg: 0.03339 loss_rpn_cls: 0.00529 loss_rpn_loc: 0.001917 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.01025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002641 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 0.8238 last_time: 1.3315 data_time: 0.0274 last_data_time: 0.0211 lr: 0.01 max_mem: 20425M +[03/21 07:32:45] d2.utils.events INFO: eta: 8:55:05 iter: 27739 total_loss: 1.457 loss_cls: 0.0113 loss_box_reg: 0.03349 loss_rpn_cls: 0.004258 loss_rpn_loc: 0.001569 loss_D_img_s: 0.6837 loss_cls_pseudo: 0.01067 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00325 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7028 time: 0.8243 last_time: 1.4924 data_time: 0.0189 last_data_time: 0.0233 lr: 0.01 max_mem: 20425M +[03/21 07:33:14] d2.utils.events INFO: eta: 8:54:32 iter: 27759 total_loss: 1.456 loss_cls: 0.01159 loss_box_reg: 0.02942 loss_rpn_cls: 0.002586 loss_rpn_loc: 0.001648 loss_D_img_s: 0.69 loss_cls_pseudo: 0.01168 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002455 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 0.8248 last_time: 1.4712 data_time: 0.0280 last_data_time: 0.0138 lr: 0.01 max_mem: 20425M +[03/21 07:33:44] d2.utils.events INFO: eta: 8:54:08 iter: 27779 total_loss: 1.458 loss_cls: 0.01613 loss_box_reg: 0.02991 loss_rpn_cls: 0.006034 loss_rpn_loc: 0.002009 loss_D_img_s: 0.6893 loss_cls_pseudo: 0.008456 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6966 time: 0.8252 last_time: 1.5876 data_time: 0.0165 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 07:34:12] d2.utils.events INFO: eta: 8:53:38 iter: 27799 total_loss: 1.451 loss_cls: 0.01898 loss_box_reg: 0.02651 loss_rpn_cls: 0.005053 loss_rpn_loc: 0.002743 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.005324 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002227 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 0.8257 last_time: 1.4475 data_time: 0.0182 last_data_time: 0.0095 lr: 0.01 max_mem: 20425M +[03/21 07:34:41] d2.utils.events INFO: eta: 8:53:09 iter: 27819 total_loss: 1.453 loss_cls: 0.01172 loss_box_reg: 0.02288 loss_rpn_cls: 0.003741 loss_rpn_loc: 0.001797 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.0172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006353 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6842 time: 0.8261 last_time: 1.5419 data_time: 0.0193 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 07:35:11] d2.utils.events INFO: eta: 8:52:40 iter: 27839 total_loss: 1.465 loss_cls: 0.01416 loss_box_reg: 0.02995 loss_rpn_cls: 0.004912 loss_rpn_loc: 0.001628 loss_D_img_s: 0.6843 loss_cls_pseudo: 0.01418 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002334 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 0.8266 last_time: 1.5435 data_time: 0.0195 last_data_time: 0.0127 lr: 0.01 max_mem: 20425M +[03/21 07:35:40] d2.utils.events INFO: eta: 8:52:20 iter: 27859 total_loss: 1.465 loss_cls: 0.01736 loss_box_reg: 0.03039 loss_rpn_cls: 0.007159 loss_rpn_loc: 0.002313 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.0105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004444 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6987 time: 0.8270 last_time: 1.3962 data_time: 0.0201 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 07:36:08] d2.utils.events INFO: eta: 8:51:43 iter: 27879 total_loss: 1.458 loss_cls: 0.01232 loss_box_reg: 0.02926 loss_rpn_cls: 0.003772 loss_rpn_loc: 0.001608 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.01133 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005819 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6991 time: 0.8275 last_time: 1.4318 data_time: 0.0171 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 07:36:37] d2.utils.events INFO: eta: 8:51:12 iter: 27899 total_loss: 1.464 loss_cls: 0.01318 loss_box_reg: 0.03519 loss_rpn_cls: 0.003095 loss_rpn_loc: 0.001654 loss_D_img_s: 0.6779 loss_cls_pseudo: 0.0154 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7077 time: 0.8279 last_time: 1.6394 data_time: 0.0160 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 07:37:06] d2.utils.events INFO: eta: 8:50:44 iter: 27919 total_loss: 1.45 loss_cls: 0.01332 loss_box_reg: 0.02763 loss_rpn_cls: 0.004261 loss_rpn_loc: 0.001641 loss_D_img_s: 0.7021 loss_cls_pseudo: 0.008746 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003334 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6774 time: 0.8283 last_time: 1.2830 data_time: 0.0203 last_data_time: 0.0083 lr: 0.01 max_mem: 20425M +[03/21 07:37:35] d2.utils.events INFO: eta: 8:50:07 iter: 27939 total_loss: 1.458 loss_cls: 0.01113 loss_box_reg: 0.02498 loss_rpn_cls: 0.004322 loss_rpn_loc: 0.001899 loss_D_img_s: 0.669 loss_cls_pseudo: 0.01494 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00581 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7162 time: 0.8288 last_time: 1.3179 data_time: 0.0208 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 07:38:05] d2.utils.events INFO: eta: 8:49:46 iter: 27959 total_loss: 1.462 loss_cls: 0.01179 loss_box_reg: 0.03505 loss_rpn_cls: 0.001699 loss_rpn_loc: 0.001783 loss_D_img_s: 0.7025 loss_cls_pseudo: 0.01264 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003266 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 0.8293 last_time: 1.4468 data_time: 0.0177 last_data_time: 0.0092 lr: 0.01 max_mem: 20425M +[03/21 07:38:33] d2.utils.events INFO: eta: 8:49:05 iter: 27979 total_loss: 1.45 loss_cls: 0.0122 loss_box_reg: 0.02683 loss_rpn_cls: 0.004406 loss_rpn_loc: 0.001691 loss_D_img_s: 0.6787 loss_cls_pseudo: 0.007618 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7113 time: 0.8297 last_time: 1.5265 data_time: 0.0161 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 07:39:02] d2.data.common INFO: Serializing the dataset using: +[03/21 07:39:02] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 07:39:02] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 07:39:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 07:39:02] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 07:39:04] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 07:41:13] d2.evaluation.evaluator INFO: Total inference time: 0:02:09.513384 (0.131086 s / iter per device, on 1 devices) +[03/21 07:41:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074422 s / iter per device, on 1 devices) +[03/21 07:41:14] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 07:41:14] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 07:41:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 07:41:14] d2.evaluation.testing INFO: copypaste: 0.2649,1.3517,0.0893 +[03/21 07:41:14] d2.data.common INFO: Serializing the dataset using: +[03/21 07:41:14] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 07:41:14] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 07:41:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 07:41:14] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 07:41:17] d2.evaluation.evaluator INFO: Inference done 19/993. 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ETA=0:00:18 +[03/21 07:43:09] d2.evaluation.evaluator INFO: Inference done 890/993. Dataloading: 0.0543 s/iter. Inference: 0.0733 s/iter. Eval: 0.0003 s/iter. Total: 0.1280 s/iter. ETA=0:00:13 +[03/21 07:43:14] d2.evaluation.evaluator INFO: Inference done 929/993. Dataloading: 0.0544 s/iter. Inference: 0.0736 s/iter. Eval: 0.0003 s/iter. Total: 0.1283 s/iter. ETA=0:00:08 +[03/21 07:43:19] d2.evaluation.evaluator INFO: Inference done 963/993. Dataloading: 0.0548 s/iter. Inference: 0.0738 s/iter. Eval: 0.0003 s/iter. Total: 0.1290 s/iter. ETA=0:00:03 +[03/21 07:43:23] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.284856 (0.128831 s / iter per device, on 1 devices) +[03/21 07:43:23] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.073942 s / iter per device, on 1 devices) +[03/21 07:43:23] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 07:43:23] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 07:43:23] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 07:43:23] d2.evaluation.testing INFO: copypaste: 0.5565,2.3323,0.0939 +[03/21 07:43:23] d2.utils.events INFO: eta: 8:48:42 iter: 27999 total_loss: 1.457 loss_cls: 0.012 loss_box_reg: 0.03218 loss_rpn_cls: 0.004971 loss_rpn_loc: 0.002171 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.01517 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003508 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6864 time: 0.8301 last_time: 1.4943 data_time: 0.0156 last_data_time: 0.0132 lr: 0.01 max_mem: 20425M +[03/21 07:43:49] d2.utils.events INFO: eta: 8:48:07 iter: 28019 total_loss: 1.454 loss_cls: 0.009385 loss_box_reg: 0.03175 loss_rpn_cls: 0.004371 loss_rpn_loc: 0.001918 loss_D_img_s: 0.7004 loss_cls_pseudo: 0.007785 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001716 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 0.8304 last_time: 1.2333 data_time: 0.0203 last_data_time: 0.0323 lr: 0.01 max_mem: 20425M +[03/21 07:44:17] d2.utils.events INFO: eta: 8:47:44 iter: 28039 total_loss: 1.447 loss_cls: 0.0119 loss_box_reg: 0.02752 loss_rpn_cls: 0.003612 loss_rpn_loc: 0.001364 loss_D_img_s: 0.6748 loss_cls_pseudo: 0.01169 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00318 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7054 time: 0.8308 last_time: 1.3748 data_time: 0.0227 last_data_time: 0.0219 lr: 0.01 max_mem: 20425M +[03/21 07:44:44] d2.utils.events INFO: eta: 8:47:18 iter: 28059 total_loss: 1.443 loss_cls: 0.01037 loss_box_reg: 0.02043 loss_rpn_cls: 0.002134 loss_rpn_loc: 0.00138 loss_D_img_s: 0.6583 loss_cls_pseudo: 0.009696 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002441 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7319 time: 0.8312 last_time: 1.2820 data_time: 0.0204 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 07:45:13] d2.utils.events INFO: eta: 8:46:51 iter: 28079 total_loss: 1.449 loss_cls: 0.01556 loss_box_reg: 0.03129 loss_rpn_cls: 0.004499 loss_rpn_loc: 0.002008 loss_D_img_s: 0.6782 loss_cls_pseudo: 0.007649 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003128 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7102 time: 0.8316 last_time: 1.3300 data_time: 0.0203 last_data_time: 0.0311 lr: 0.01 max_mem: 20425M +[03/21 07:45:42] d2.utils.events INFO: eta: 8:46:12 iter: 28099 total_loss: 1.451 loss_cls: 0.01203 loss_box_reg: 0.02868 loss_rpn_cls: 0.003349 loss_rpn_loc: 0.001823 loss_D_img_s: 0.7128 loss_cls_pseudo: 0.01196 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003011 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6705 time: 0.8321 last_time: 1.4131 data_time: 0.0151 last_data_time: 0.0215 lr: 0.01 max_mem: 20425M +[03/21 07:46:10] d2.utils.events INFO: eta: 8:45:42 iter: 28119 total_loss: 1.461 loss_cls: 0.01306 loss_box_reg: 0.0265 loss_rpn_cls: 0.006387 loss_rpn_loc: 0.002343 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.01047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003519 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 0.8325 last_time: 1.3465 data_time: 0.0141 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 07:46:40] d2.utils.events INFO: eta: 8:45:20 iter: 28139 total_loss: 1.447 loss_cls: 0.01055 loss_box_reg: 0.03039 loss_rpn_cls: 0.004187 loss_rpn_loc: 0.001859 loss_D_img_s: 0.6883 loss_cls_pseudo: 0.007863 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002195 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6946 time: 0.8330 last_time: 1.5512 data_time: 0.0212 last_data_time: 0.0244 lr: 0.01 max_mem: 20425M +[03/21 07:47:09] d2.utils.events INFO: eta: 8:44:58 iter: 28159 total_loss: 1.45 loss_cls: 0.01145 loss_box_reg: 0.02907 loss_rpn_cls: 0.003477 loss_rpn_loc: 0.002173 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.01486 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003121 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.687 time: 0.8334 last_time: 1.4621 data_time: 0.0226 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 07:47:39] d2.utils.events INFO: eta: 8:45:09 iter: 28179 total_loss: 1.452 loss_cls: 0.01129 loss_box_reg: 0.03474 loss_rpn_cls: 0.003443 loss_rpn_loc: 0.001694 loss_D_img_s: 0.6753 loss_cls_pseudo: 0.01084 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003483 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7082 time: 0.8339 last_time: 1.6052 data_time: 0.0187 last_data_time: 0.0095 lr: 0.01 max_mem: 20425M +[03/21 07:48:08] d2.utils.events INFO: eta: 8:44:17 iter: 28199 total_loss: 1.462 loss_cls: 0.01316 loss_box_reg: 0.02789 loss_rpn_cls: 0.004357 loss_rpn_loc: 0.00203 loss_D_img_s: 0.7096 loss_cls_pseudo: 0.008644 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003741 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6719 time: 0.8343 last_time: 1.4797 data_time: 0.0167 last_data_time: 0.0122 lr: 0.01 max_mem: 20425M +[03/21 07:48:36] d2.utils.events INFO: eta: 8:43:49 iter: 28219 total_loss: 1.456 loss_cls: 0.009214 loss_box_reg: 0.02661 loss_rpn_cls: 0.003821 loss_rpn_loc: 0.00164 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.01644 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003646 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 0.8347 last_time: 1.2096 data_time: 0.0222 last_data_time: 0.0133 lr: 0.01 max_mem: 20425M +[03/21 07:49:05] d2.utils.events INFO: eta: 8:43:04 iter: 28239 total_loss: 1.455 loss_cls: 0.0152 loss_box_reg: 0.02979 loss_rpn_cls: 0.004086 loss_rpn_loc: 0.001661 loss_D_img_s: 0.6829 loss_cls_pseudo: 0.007002 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001467 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 0.8351 last_time: 1.2777 data_time: 0.0188 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 07:49:34] d2.utils.events INFO: eta: 8:42:27 iter: 28259 total_loss: 1.447 loss_cls: 0.01193 loss_box_reg: 0.03121 loss_rpn_cls: 0.003561 loss_rpn_loc: 0.002121 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.009285 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.696 time: 0.8356 last_time: 1.6790 data_time: 0.0191 last_data_time: 0.0476 lr: 0.01 max_mem: 20425M +[03/21 07:50:03] d2.utils.events INFO: eta: 8:42:00 iter: 28279 total_loss: 1.46 loss_cls: 0.01268 loss_box_reg: 0.02755 loss_rpn_cls: 0.002561 loss_rpn_loc: 0.001419 loss_D_img_s: 0.6851 loss_cls_pseudo: 0.01155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003148 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7018 time: 0.8360 last_time: 1.2828 data_time: 0.0193 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 07:50:31] d2.utils.events INFO: eta: 8:41:26 iter: 28299 total_loss: 1.464 loss_cls: 0.01168 loss_box_reg: 0.0277 loss_rpn_cls: 0.004403 loss_rpn_loc: 0.001596 loss_D_img_s: 0.6895 loss_cls_pseudo: 0.01297 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003887 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6958 time: 0.8364 last_time: 1.3591 data_time: 0.0175 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 07:51:00] d2.utils.events INFO: eta: 8:41:03 iter: 28319 total_loss: 1.447 loss_cls: 0.01376 loss_box_reg: 0.02594 loss_rpn_cls: 0.004019 loss_rpn_loc: 0.001865 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.007888 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003167 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7025 time: 0.8368 last_time: 1.4543 data_time: 0.0202 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 07:51:29] d2.utils.events INFO: eta: 8:40:34 iter: 28339 total_loss: 1.452 loss_cls: 0.01137 loss_box_reg: 0.02542 loss_rpn_cls: 0.003694 loss_rpn_loc: 0.001189 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.01061 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004086 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 0.8373 last_time: 1.4326 data_time: 0.0164 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 07:51:58] d2.utils.events INFO: eta: 8:40:07 iter: 28359 total_loss: 1.447 loss_cls: 0.01112 loss_box_reg: 0.02452 loss_rpn_cls: 0.003757 loss_rpn_loc: 0.001864 loss_D_img_s: 0.6852 loss_cls_pseudo: 0.01391 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003146 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7007 time: 0.8377 last_time: 1.2610 data_time: 0.0219 last_data_time: 0.0227 lr: 0.01 max_mem: 20425M +[03/21 07:52:27] d2.utils.events INFO: eta: 8:39:36 iter: 28379 total_loss: 1.455 loss_cls: 0.009819 loss_box_reg: 0.0296 loss_rpn_cls: 0.002277 loss_rpn_loc: 0.001726 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.009706 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002887 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6963 time: 0.8381 last_time: 1.4238 data_time: 0.0199 last_data_time: 0.0249 lr: 0.01 max_mem: 20425M +[03/21 07:52:57] d2.utils.events INFO: eta: 8:39:13 iter: 28399 total_loss: 1.443 loss_cls: 0.009774 loss_box_reg: 0.03091 loss_rpn_cls: 0.003115 loss_rpn_loc: 0.001571 loss_D_img_s: 0.694 loss_cls_pseudo: 0.004907 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00122 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 0.8386 last_time: 1.3538 data_time: 0.0218 last_data_time: 0.0501 lr: 0.01 max_mem: 20425M +[03/21 07:53:25] d2.utils.events INFO: eta: 8:39:15 iter: 28419 total_loss: 1.452 loss_cls: 0.01193 loss_box_reg: 0.03015 loss_rpn_cls: 0.003698 loss_rpn_loc: 0.002103 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01127 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002012 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6984 time: 0.8390 last_time: 1.5385 data_time: 0.0209 last_data_time: 0.0166 lr: 0.01 max_mem: 20425M +[03/21 07:53:54] d2.utils.events INFO: eta: 8:39:12 iter: 28439 total_loss: 1.46 loss_cls: 0.01141 loss_box_reg: 0.03082 loss_rpn_cls: 0.003832 loss_rpn_loc: 0.0023 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.01512 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 0.8394 last_time: 1.5405 data_time: 0.0196 last_data_time: 0.0244 lr: 0.01 max_mem: 20425M +[03/21 07:54:22] d2.utils.events INFO: eta: 8:38:34 iter: 28459 total_loss: 1.458 loss_cls: 0.01389 loss_box_reg: 0.02794 loss_rpn_cls: 0.004154 loss_rpn_loc: 0.002008 loss_D_img_s: 0.7035 loss_cls_pseudo: 0.01281 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003082 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 0.8398 last_time: 1.4281 data_time: 0.0200 last_data_time: 0.0226 lr: 0.01 max_mem: 20425M +[03/21 07:54:51] d2.utils.events INFO: eta: 8:37:12 iter: 28479 total_loss: 1.451 loss_cls: 0.0111 loss_box_reg: 0.02813 loss_rpn_cls: 0.004215 loss_rpn_loc: 0.002252 loss_D_img_s: 0.6881 loss_cls_pseudo: 0.0114 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003197 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 0.8402 last_time: 1.4460 data_time: 0.0165 last_data_time: 0.0151 lr: 0.01 max_mem: 20425M +[03/21 07:55:19] d2.utils.events INFO: eta: 8:36:15 iter: 28499 total_loss: 1.441 loss_cls: 0.01315 loss_box_reg: 0.02913 loss_rpn_cls: 0.003763 loss_rpn_loc: 0.001439 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.007019 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001942 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 0.8406 last_time: 1.5036 data_time: 0.0186 last_data_time: 0.0244 lr: 0.01 max_mem: 20425M +[03/21 07:55:48] d2.utils.events INFO: eta: 8:36:05 iter: 28519 total_loss: 1.446 loss_cls: 0.01279 loss_box_reg: 0.02605 loss_rpn_cls: 0.00351 loss_rpn_loc: 0.001597 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.008264 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002383 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 0.8411 last_time: 1.3383 data_time: 0.0150 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 07:56:16] d2.utils.events INFO: eta: 8:35:14 iter: 28539 total_loss: 1.45 loss_cls: 0.01175 loss_box_reg: 0.03089 loss_rpn_cls: 0.002597 loss_rpn_loc: 0.001526 loss_D_img_s: 0.6898 loss_cls_pseudo: 0.007113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00208 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 0.8415 last_time: 1.5269 data_time: 0.0179 last_data_time: 0.0186 lr: 0.01 max_mem: 20425M +[03/21 07:56:46] d2.utils.events INFO: eta: 8:34:45 iter: 28559 total_loss: 1.464 loss_cls: 0.01284 loss_box_reg: 0.02988 loss_rpn_cls: 0.0029 loss_rpn_loc: 0.001604 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.01242 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005356 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 0.8419 last_time: 1.5087 data_time: 0.0188 last_data_time: 0.0214 lr: 0.01 max_mem: 20425M +[03/21 07:57:15] d2.utils.events INFO: eta: 8:34:16 iter: 28579 total_loss: 1.461 loss_cls: 0.01054 loss_box_reg: 0.02859 loss_rpn_cls: 0.002224 loss_rpn_loc: 0.001448 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.02068 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002294 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6878 time: 0.8423 last_time: 1.4339 data_time: 0.0160 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 07:57:44] d2.utils.events INFO: eta: 8:34:13 iter: 28599 total_loss: 1.458 loss_cls: 0.01289 loss_box_reg: 0.02789 loss_rpn_cls: 0.004364 loss_rpn_loc: 0.00218 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.01014 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003495 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.8428 last_time: 1.4339 data_time: 0.0195 last_data_time: 0.0133 lr: 0.01 max_mem: 20425M +[03/21 07:58:14] d2.utils.events INFO: eta: 8:33:44 iter: 28619 total_loss: 1.448 loss_cls: 0.01143 loss_box_reg: 0.02673 loss_rpn_cls: 0.003112 loss_rpn_loc: 0.001595 loss_D_img_s: 0.7035 loss_cls_pseudo: 0.01414 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003906 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 0.8432 last_time: 1.4442 data_time: 0.0225 last_data_time: 0.0093 lr: 0.01 max_mem: 20425M +[03/21 07:58:43] d2.utils.events INFO: eta: 8:33:15 iter: 28639 total_loss: 1.465 loss_cls: 0.01052 loss_box_reg: 0.0265 loss_rpn_cls: 0.003686 loss_rpn_loc: 0.001913 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.01337 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002872 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 0.8436 last_time: 1.5134 data_time: 0.0202 last_data_time: 0.0283 lr: 0.01 max_mem: 20425M +[03/21 07:59:12] d2.utils.events INFO: eta: 8:32:57 iter: 28659 total_loss: 1.442 loss_cls: 0.01067 loss_box_reg: 0.02255 loss_rpn_cls: 0.00492 loss_rpn_loc: 0.00151 loss_D_img_s: 0.705 loss_cls_pseudo: 0.01138 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002403 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 0.8441 last_time: 1.4191 data_time: 0.0169 last_data_time: 0.0185 lr: 0.01 max_mem: 20425M +[03/21 07:59:41] d2.utils.events INFO: eta: 8:32:18 iter: 28679 total_loss: 1.465 loss_cls: 0.01221 loss_box_reg: 0.02864 loss_rpn_cls: 0.003835 loss_rpn_loc: 0.002015 loss_D_img_s: 0.6697 loss_cls_pseudo: 0.01775 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005729 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7118 time: 0.8445 last_time: 1.5272 data_time: 0.0157 last_data_time: 0.0146 lr: 0.01 max_mem: 20425M +[03/21 08:00:11] d2.utils.events INFO: eta: 8:31:49 iter: 28699 total_loss: 1.451 loss_cls: 0.009447 loss_box_reg: 0.02639 loss_rpn_cls: 0.002195 loss_rpn_loc: 0.001488 loss_D_img_s: 0.6897 loss_cls_pseudo: 0.01433 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002107 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 0.8449 last_time: 1.9304 data_time: 0.0185 last_data_time: 0.0250 lr: 0.01 max_mem: 20425M +[03/21 08:00:40] d2.utils.events INFO: eta: 8:31:51 iter: 28719 total_loss: 1.442 loss_cls: 0.01023 loss_box_reg: 0.02317 loss_rpn_cls: 0.003999 loss_rpn_loc: 0.001576 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.008611 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001888 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6982 time: 0.8454 last_time: 1.5213 data_time: 0.0252 last_data_time: 0.0414 lr: 0.01 max_mem: 20425M +[03/21 08:01:09] d2.utils.events INFO: eta: 8:31:06 iter: 28739 total_loss: 1.46 loss_cls: 0.01374 loss_box_reg: 0.02957 loss_rpn_cls: 0.003933 loss_rpn_loc: 0.001928 loss_D_img_s: 0.7113 loss_cls_pseudo: 0.01558 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6766 time: 0.8458 last_time: 1.3733 data_time: 0.0228 last_data_time: 0.0087 lr: 0.01 max_mem: 20425M +[03/21 08:01:38] d2.utils.events INFO: eta: 8:30:52 iter: 28759 total_loss: 1.465 loss_cls: 0.01709 loss_box_reg: 0.03427 loss_rpn_cls: 0.00527 loss_rpn_loc: 0.001757 loss_D_img_s: 0.7242 loss_cls_pseudo: 0.009458 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001739 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.656 time: 0.8462 last_time: 1.3780 data_time: 0.0173 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 08:02:08] d2.utils.events INFO: eta: 8:29:54 iter: 28779 total_loss: 1.437 loss_cls: 0.01275 loss_box_reg: 0.03087 loss_rpn_cls: 0.003139 loss_rpn_loc: 0.002321 loss_D_img_s: 0.691 loss_cls_pseudo: 0.004149 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009212 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.8467 last_time: 1.3645 data_time: 0.0152 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 08:02:37] d2.utils.events INFO: eta: 8:29:54 iter: 28799 total_loss: 1.466 loss_cls: 0.01426 loss_box_reg: 0.03251 loss_rpn_cls: 0.004153 loss_rpn_loc: 0.002102 loss_D_img_s: 0.7135 loss_cls_pseudo: 0.01242 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002896 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6717 time: 0.8471 last_time: 1.4551 data_time: 0.0247 last_data_time: 0.0341 lr: 0.01 max_mem: 20425M +[03/21 08:03:07] d2.utils.events INFO: eta: 8:29:11 iter: 28819 total_loss: 1.465 loss_cls: 0.01217 loss_box_reg: 0.02781 loss_rpn_cls: 0.003027 loss_rpn_loc: 0.001638 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.01454 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004295 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7028 time: 0.8475 last_time: 1.3013 data_time: 0.0264 last_data_time: 0.0198 lr: 0.01 max_mem: 20425M +[03/21 08:03:37] d2.utils.events INFO: eta: 8:28:28 iter: 28839 total_loss: 1.451 loss_cls: 0.008612 loss_box_reg: 0.02636 loss_rpn_cls: 0.002843 loss_rpn_loc: 0.00162 loss_D_img_s: 0.6863 loss_cls_pseudo: 0.01286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003545 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6965 time: 0.8480 last_time: 1.3880 data_time: 0.0172 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 08:04:06] d2.utils.events INFO: eta: 8:27:47 iter: 28859 total_loss: 1.459 loss_cls: 0.01975 loss_box_reg: 0.03166 loss_rpn_cls: 0.005818 loss_rpn_loc: 0.002166 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.01263 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004054 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 0.8484 last_time: 1.4405 data_time: 0.0157 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 08:04:35] d2.utils.events INFO: eta: 8:27:44 iter: 28879 total_loss: 1.462 loss_cls: 0.01174 loss_box_reg: 0.02962 loss_rpn_cls: 0.005129 loss_rpn_loc: 0.001829 loss_D_img_s: 0.6848 loss_cls_pseudo: 0.01819 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.01004 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7025 time: 0.8488 last_time: 1.6307 data_time: 0.0218 last_data_time: 0.0140 lr: 0.01 max_mem: 20425M +[03/21 08:05:05] d2.utils.events INFO: eta: 8:27:30 iter: 28899 total_loss: 1.452 loss_cls: 0.01223 loss_box_reg: 0.0291 loss_rpn_cls: 0.00489 loss_rpn_loc: 0.001764 loss_D_img_s: 0.7072 loss_cls_pseudo: 0.01206 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002692 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6763 time: 0.8493 last_time: 1.4186 data_time: 0.0229 last_data_time: 0.0143 lr: 0.01 max_mem: 20425M +[03/21 08:05:33] d2.utils.events INFO: eta: 8:27:01 iter: 28919 total_loss: 1.454 loss_cls: 0.008108 loss_box_reg: 0.02265 loss_rpn_cls: 0.003611 loss_rpn_loc: 0.001529 loss_D_img_s: 0.698 loss_cls_pseudo: 0.01113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002614 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6856 time: 0.8497 last_time: 1.2955 data_time: 0.0149 last_data_time: 0.0320 lr: 0.01 max_mem: 20425M +[03/21 08:06:02] d2.utils.events INFO: eta: 8:26:17 iter: 28939 total_loss: 1.448 loss_cls: 0.01158 loss_box_reg: 0.02751 loss_rpn_cls: 0.005414 loss_rpn_loc: 0.00209 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.009 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002495 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 0.8501 last_time: 1.3237 data_time: 0.0193 last_data_time: 0.0278 lr: 0.01 max_mem: 20425M +[03/21 08:06:32] d2.utils.events INFO: eta: 8:25:34 iter: 28959 total_loss: 1.448 loss_cls: 0.009818 loss_box_reg: 0.03024 loss_rpn_cls: 0.0032 loss_rpn_loc: 0.001649 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.007631 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001745 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6757 time: 0.8505 last_time: 1.6802 data_time: 0.0140 last_data_time: 0.0089 lr: 0.01 max_mem: 20425M +[03/21 08:07:01] d2.utils.events INFO: eta: 8:25:34 iter: 28979 total_loss: 1.469 loss_cls: 0.01151 loss_box_reg: 0.02667 loss_rpn_cls: 0.002777 loss_rpn_loc: 0.00151 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.01318 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.696 time: 0.8509 last_time: 1.4940 data_time: 0.0195 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 08:07:30] d2.data.common INFO: Serializing the dataset using: +[03/21 08:07:30] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 08:07:30] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 08:07:30] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 08:07:30] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 08:07:32] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 08:09:39] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.779980 (0.129332 s / iter per device, on 1 devices) +[03/21 08:09:39] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.071907 s / iter per device, on 1 devices) +[03/21 08:09:39] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 08:09:39] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 08:09:39] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 08:09:39] d2.evaluation.testing INFO: copypaste: 0.8370,3.3040,0.5679 +[03/21 08:09:39] d2.data.common INFO: Serializing the dataset using: +[03/21 08:09:39] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 08:09:39] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 08:09:39] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 08:09:39] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 08:09:41] d2.evaluation.evaluator INFO: Inference done 11/993. 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Total: 0.1286 s/iter. ETA=0:00:43 +[03/21 08:11:09] d2.evaluation.evaluator INFO: Inference done 692/993. Dataloading: 0.0562 s/iter. Inference: 0.0717 s/iter. Eval: 0.0003 s/iter. Total: 0.1284 s/iter. ETA=0:00:38 +[03/21 08:11:14] d2.evaluation.evaluator INFO: Inference done 729/993. Dataloading: 0.0566 s/iter. Inference: 0.0718 s/iter. Eval: 0.0003 s/iter. Total: 0.1289 s/iter. ETA=0:00:34 +[03/21 08:11:19] d2.evaluation.evaluator INFO: Inference done 771/993. Dataloading: 0.0567 s/iter. Inference: 0.0716 s/iter. Eval: 0.0003 s/iter. Total: 0.1288 s/iter. ETA=0:00:28 +[03/21 08:11:24] d2.evaluation.evaluator INFO: Inference done 811/993. Dataloading: 0.0566 s/iter. Inference: 0.0716 s/iter. Eval: 0.0003 s/iter. Total: 0.1286 s/iter. ETA=0:00:23 +[03/21 08:11:29] d2.evaluation.evaluator INFO: Inference done 850/993. Dataloading: 0.0566 s/iter. Inference: 0.0716 s/iter. Eval: 0.0003 s/iter. Total: 0.1287 s/iter. ETA=0:00:18 +[03/21 08:11:34] d2.evaluation.evaluator INFO: Inference done 891/993. Dataloading: 0.0564 s/iter. Inference: 0.0715 s/iter. Eval: 0.0003 s/iter. Total: 0.1284 s/iter. ETA=0:00:13 +[03/21 08:11:39] d2.evaluation.evaluator INFO: Inference done 927/993. Dataloading: 0.0567 s/iter. Inference: 0.0717 s/iter. Eval: 0.0003 s/iter. Total: 0.1288 s/iter. ETA=0:00:08 +[03/21 08:11:44] d2.evaluation.evaluator INFO: Inference done 962/993. Dataloading: 0.0572 s/iter. Inference: 0.0719 s/iter. Eval: 0.0003 s/iter. Total: 0.1295 s/iter. ETA=0:00:04 +[03/21 08:11:48] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.503513 (0.129052 s / iter per device, on 1 devices) +[03/21 08:11:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071859 s / iter per device, on 1 devices) +[03/21 08:11:48] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 08:11:48] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 08:11:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 08:11:48] d2.evaluation.testing INFO: copypaste: 0.4707,2.0796,0.0862 +[03/21 08:11:48] d2.utils.events INFO: eta: 8:24:31 iter: 28999 total_loss: 1.457 loss_cls: 0.01363 loss_box_reg: 0.03422 loss_rpn_cls: 0.004137 loss_rpn_loc: 0.001611 loss_D_img_s: 0.7031 loss_cls_pseudo: 0.01006 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6795 time: 0.8513 last_time: 1.4844 data_time: 0.0171 last_data_time: 0.0500 lr: 0.01 max_mem: 20425M +[03/21 08:12:16] d2.utils.events INFO: eta: 8:24:32 iter: 29019 total_loss: 1.443 loss_cls: 0.009813 loss_box_reg: 0.02603 loss_rpn_cls: 0.003872 loss_rpn_loc: 0.001733 loss_D_img_s: 0.6882 loss_cls_pseudo: 0.01229 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003944 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6979 time: 0.8517 last_time: 1.4095 data_time: 0.0182 last_data_time: 0.0342 lr: 0.01 max_mem: 20425M +[03/21 08:12:42] d2.utils.events INFO: eta: 8:23:39 iter: 29039 total_loss: 1.45 loss_cls: 0.008968 loss_box_reg: 0.02887 loss_rpn_cls: 0.002116 loss_rpn_loc: 0.001722 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.01331 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002395 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 0.8520 last_time: 1.4375 data_time: 0.0176 last_data_time: 0.0306 lr: 0.01 max_mem: 20425M +[03/21 08:13:10] d2.utils.events INFO: eta: 8:23:37 iter: 29059 total_loss: 1.447 loss_cls: 0.01252 loss_box_reg: 0.02966 loss_rpn_cls: 0.004719 loss_rpn_loc: 0.001722 loss_D_img_s: 0.6849 loss_cls_pseudo: 0.006315 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00243 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 0.8524 last_time: 1.4726 data_time: 0.0188 last_data_time: 0.0277 lr: 0.01 max_mem: 20425M +[03/21 08:13:39] d2.utils.events INFO: eta: 8:23:05 iter: 29079 total_loss: 1.459 loss_cls: 0.01064 loss_box_reg: 0.03139 loss_rpn_cls: 0.003366 loss_rpn_loc: 0.001923 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.01258 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002939 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 0.8528 last_time: 1.5453 data_time: 0.0163 last_data_time: 0.0181 lr: 0.01 max_mem: 20425M +[03/21 08:14:08] d2.utils.events INFO: eta: 8:22:50 iter: 29099 total_loss: 1.458 loss_cls: 0.01281 loss_box_reg: 0.03397 loss_rpn_cls: 0.002703 loss_rpn_loc: 0.001566 loss_D_img_s: 0.6894 loss_cls_pseudo: 0.008614 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003667 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6987 time: 0.8532 last_time: 1.3045 data_time: 0.0178 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 08:14:37] d2.utils.events INFO: eta: 8:22:31 iter: 29119 total_loss: 1.452 loss_cls: 0.01171 loss_box_reg: 0.02813 loss_rpn_cls: 0.003318 loss_rpn_loc: 0.002049 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.006671 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003829 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6874 time: 0.8536 last_time: 1.3848 data_time: 0.0228 last_data_time: 0.0340 lr: 0.01 max_mem: 20425M +[03/21 08:15:06] d2.utils.events INFO: eta: 8:21:20 iter: 29139 total_loss: 1.46 loss_cls: 0.01367 loss_box_reg: 0.03309 loss_rpn_cls: 0.005272 loss_rpn_loc: 0.001766 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.01277 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005616 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.8540 last_time: 1.3759 data_time: 0.0165 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 08:15:35] d2.utils.events INFO: eta: 8:20:46 iter: 29159 total_loss: 1.441 loss_cls: 0.01049 loss_box_reg: 0.02262 loss_rpn_cls: 0.0037 loss_rpn_loc: 0.001583 loss_D_img_s: 0.701 loss_cls_pseudo: 0.008037 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002002 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 0.8544 last_time: 1.4342 data_time: 0.0194 last_data_time: 0.0124 lr: 0.01 max_mem: 20425M +[03/21 08:16:05] d2.utils.events INFO: eta: 8:20:00 iter: 29179 total_loss: 1.468 loss_cls: 0.01971 loss_box_reg: 0.0312 loss_rpn_cls: 0.004515 loss_rpn_loc: 0.00181 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.01254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002764 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 0.8548 last_time: 1.5278 data_time: 0.0140 last_data_time: 0.0091 lr: 0.01 max_mem: 20425M +[03/21 08:16:34] d2.utils.events INFO: eta: 8:19:37 iter: 29199 total_loss: 1.465 loss_cls: 0.0141 loss_box_reg: 0.03006 loss_rpn_cls: 0.004634 loss_rpn_loc: 0.002655 loss_D_img_s: 0.711 loss_cls_pseudo: 0.009545 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002777 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6725 time: 0.8553 last_time: 1.5273 data_time: 0.0175 last_data_time: 0.0280 lr: 0.01 max_mem: 20425M +[03/21 08:17:03] d2.utils.events INFO: eta: 8:19:14 iter: 29219 total_loss: 1.446 loss_cls: 0.01002 loss_box_reg: 0.02255 loss_rpn_cls: 0.005041 loss_rpn_loc: 0.001883 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.01359 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003752 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 0.8557 last_time: 1.4985 data_time: 0.0203 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 08:17:31] d2.utils.events INFO: eta: 8:18:39 iter: 29239 total_loss: 1.466 loss_cls: 0.01211 loss_box_reg: 0.03056 loss_rpn_cls: 0.003341 loss_rpn_loc: 0.002452 loss_D_img_s: 0.6983 loss_cls_pseudo: 0.01487 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003806 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.8561 last_time: 1.3563 data_time: 0.0189 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 08:17:59] d2.utils.events INFO: eta: 8:18:05 iter: 29259 total_loss: 1.458 loss_cls: 0.01299 loss_box_reg: 0.03226 loss_rpn_cls: 0.00425 loss_rpn_loc: 0.00142 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.01368 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6868 time: 0.8564 last_time: 1.4544 data_time: 0.0163 last_data_time: 0.0220 lr: 0.01 max_mem: 20425M +[03/21 08:18:28] d2.utils.events INFO: eta: 8:17:36 iter: 29279 total_loss: 1.487 loss_cls: 0.01642 loss_box_reg: 0.03024 loss_rpn_cls: 0.006073 loss_rpn_loc: 0.002471 loss_D_img_s: 0.7226 loss_cls_pseudo: 0.01467 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005233 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6662 time: 0.8568 last_time: 1.6540 data_time: 0.0174 last_data_time: 0.0159 lr: 0.01 max_mem: 20425M +[03/21 08:18:57] d2.utils.events INFO: eta: 8:17:48 iter: 29299 total_loss: 1.457 loss_cls: 0.01366 loss_box_reg: 0.03029 loss_rpn_cls: 0.004124 loss_rpn_loc: 0.001779 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.01006 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003275 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.8572 last_time: 1.5749 data_time: 0.0219 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 08:19:26] d2.utils.events INFO: eta: 8:17:23 iter: 29319 total_loss: 1.449 loss_cls: 0.01249 loss_box_reg: 0.02592 loss_rpn_cls: 0.003664 loss_rpn_loc: 0.001913 loss_D_img_s: 0.7007 loss_cls_pseudo: 0.009041 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003569 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 0.8576 last_time: 1.4270 data_time: 0.0215 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 08:19:55] d2.utils.events INFO: eta: 8:16:21 iter: 29339 total_loss: 1.442 loss_cls: 0.01162 loss_box_reg: 0.02186 loss_rpn_cls: 0.003875 loss_rpn_loc: 0.001407 loss_D_img_s: 0.6784 loss_cls_pseudo: 0.01167 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002626 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7068 time: 0.8580 last_time: 1.4859 data_time: 0.0190 last_data_time: 0.0088 lr: 0.01 max_mem: 20425M +[03/21 08:20:24] d2.utils.events INFO: eta: 8:15:46 iter: 29359 total_loss: 1.457 loss_cls: 0.01322 loss_box_reg: 0.0325 loss_rpn_cls: 0.004437 loss_rpn_loc: 0.002336 loss_D_img_s: 0.6969 loss_cls_pseudo: 0.01256 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002849 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.8584 last_time: 1.5544 data_time: 0.0194 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 08:20:53] d2.utils.events INFO: eta: 8:15:57 iter: 29379 total_loss: 1.452 loss_cls: 0.009741 loss_box_reg: 0.02948 loss_rpn_cls: 0.002116 loss_rpn_loc: 0.001538 loss_D_img_s: 0.7012 loss_cls_pseudo: 0.00954 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002738 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6809 time: 0.8588 last_time: 1.4601 data_time: 0.0167 last_data_time: 0.0348 lr: 0.01 max_mem: 20425M +[03/21 08:21:22] d2.utils.events INFO: eta: 8:15:05 iter: 29399 total_loss: 1.434 loss_cls: 0.01026 loss_box_reg: 0.03016 loss_rpn_cls: 0.002527 loss_rpn_loc: 0.001589 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.00893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001609 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6797 time: 0.8592 last_time: 1.4865 data_time: 0.0228 last_data_time: 0.0165 lr: 0.01 max_mem: 20425M +[03/21 08:21:52] d2.utils.events INFO: eta: 8:14:58 iter: 29419 total_loss: 1.461 loss_cls: 0.01527 loss_box_reg: 0.02898 loss_rpn_cls: 0.004764 loss_rpn_loc: 0.002535 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.013 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003418 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.8597 last_time: 1.6110 data_time: 0.0219 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 08:22:21] d2.utils.events INFO: eta: 8:14:26 iter: 29439 total_loss: 1.448 loss_cls: 0.01609 loss_box_reg: 0.02403 loss_rpn_cls: 0.003856 loss_rpn_loc: 0.001356 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.0121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002534 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 0.8601 last_time: 1.5081 data_time: 0.0197 last_data_time: 0.0170 lr: 0.01 max_mem: 20425M +[03/21 08:22:50] d2.utils.events INFO: eta: 8:13:48 iter: 29459 total_loss: 1.46 loss_cls: 0.01583 loss_box_reg: 0.03245 loss_rpn_cls: 0.005955 loss_rpn_loc: 0.002383 loss_D_img_s: 0.6766 loss_cls_pseudo: 0.008568 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004037 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7066 time: 0.8605 last_time: 1.3639 data_time: 0.0226 last_data_time: 0.0325 lr: 0.01 max_mem: 20425M +[03/21 08:23:19] d2.utils.events INFO: eta: 8:13:33 iter: 29479 total_loss: 1.437 loss_cls: 0.007091 loss_box_reg: 0.02509 loss_rpn_cls: 0.001656 loss_rpn_loc: 0.001562 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.01308 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003578 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 0.8609 last_time: 1.5456 data_time: 0.0170 last_data_time: 0.0175 lr: 0.01 max_mem: 20425M +[03/21 08:23:48] d2.utils.events INFO: eta: 8:13:07 iter: 29499 total_loss: 1.462 loss_cls: 0.01153 loss_box_reg: 0.02804 loss_rpn_cls: 0.004681 loss_rpn_loc: 0.002282 loss_D_img_s: 0.7043 loss_cls_pseudo: 0.01612 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00437 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6804 time: 0.8613 last_time: 1.5884 data_time: 0.0228 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 08:24:16] d2.utils.events INFO: eta: 8:12:30 iter: 29519 total_loss: 1.458 loss_cls: 0.01429 loss_box_reg: 0.02687 loss_rpn_cls: 0.006484 loss_rpn_loc: 0.002181 loss_D_img_s: 0.6872 loss_cls_pseudo: 0.01269 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003721 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 0.8616 last_time: 1.4853 data_time: 0.0161 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 08:24:45] d2.utils.events INFO: eta: 8:12:09 iter: 29539 total_loss: 1.45 loss_cls: 0.01305 loss_box_reg: 0.02771 loss_rpn_cls: 0.005246 loss_rpn_loc: 0.002596 loss_D_img_s: 0.6824 loss_cls_pseudo: 0.01254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002546 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7005 time: 0.8620 last_time: 1.4432 data_time: 0.0148 last_data_time: 0.0498 lr: 0.01 max_mem: 20425M +[03/21 08:25:14] d2.utils.events INFO: eta: 8:11:38 iter: 29559 total_loss: 1.445 loss_cls: 0.01238 loss_box_reg: 0.02895 loss_rpn_cls: 0.002694 loss_rpn_loc: 0.001534 loss_D_img_s: 0.7088 loss_cls_pseudo: 0.009339 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001583 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6731 time: 0.8624 last_time: 1.2893 data_time: 0.0203 last_data_time: 0.0446 lr: 0.01 max_mem: 20425M +[03/21 08:25:43] d2.utils.events INFO: eta: 8:11:08 iter: 29579 total_loss: 1.463 loss_cls: 0.01248 loss_box_reg: 0.03546 loss_rpn_cls: 0.003996 loss_rpn_loc: 0.001959 loss_D_img_s: 0.71 loss_cls_pseudo: 0.0127 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 0.8628 last_time: 1.4414 data_time: 0.0144 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 08:26:12] d2.utils.events INFO: eta: 8:10:35 iter: 29599 total_loss: 1.461 loss_cls: 0.011 loss_box_reg: 0.02774 loss_rpn_cls: 0.003141 loss_rpn_loc: 0.001475 loss_D_img_s: 0.7256 loss_cls_pseudo: 0.01818 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00316 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6573 time: 0.8632 last_time: 1.6128 data_time: 0.0184 last_data_time: 0.0355 lr: 0.01 max_mem: 20425M +[03/21 08:26:41] d2.utils.events INFO: eta: 8:10:01 iter: 29619 total_loss: 1.462 loss_cls: 0.01828 loss_box_reg: 0.03374 loss_rpn_cls: 0.00462 loss_rpn_loc: 0.001973 loss_D_img_s: 0.655 loss_cls_pseudo: 0.009931 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003205 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7252 time: 0.8636 last_time: 1.4344 data_time: 0.0199 last_data_time: 0.0172 lr: 0.01 max_mem: 20425M +[03/21 08:27:09] d2.utils.events INFO: eta: 8:09:04 iter: 29639 total_loss: 1.446 loss_cls: 0.01329 loss_box_reg: 0.02901 loss_rpn_cls: 0.003346 loss_rpn_loc: 0.001848 loss_D_img_s: 0.7045 loss_cls_pseudo: 0.01136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6755 time: 0.8640 last_time: 1.4088 data_time: 0.0191 last_data_time: 0.0162 lr: 0.01 max_mem: 20425M +[03/21 08:27:38] d2.utils.events INFO: eta: 8:08:27 iter: 29659 total_loss: 1.471 loss_cls: 0.009096 loss_box_reg: 0.0329 loss_rpn_cls: 0.001906 loss_rpn_loc: 0.001606 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.01047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006688 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 0.8644 last_time: 1.2957 data_time: 0.0161 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 08:28:07] d2.utils.events INFO: eta: 8:07:52 iter: 29679 total_loss: 1.449 loss_cls: 0.009434 loss_box_reg: 0.02732 loss_rpn_cls: 0.003208 loss_rpn_loc: 0.001688 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.01077 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00279 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 0.8648 last_time: 1.4224 data_time: 0.0162 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 08:28:36] d2.utils.events INFO: eta: 8:07:19 iter: 29699 total_loss: 1.452 loss_cls: 0.01134 loss_box_reg: 0.02452 loss_rpn_cls: 0.003754 loss_rpn_loc: 0.00184 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.01412 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005712 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7014 time: 0.8652 last_time: 1.5587 data_time: 0.0143 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 08:29:04] d2.utils.events INFO: eta: 8:06:42 iter: 29719 total_loss: 1.451 loss_cls: 0.01317 loss_box_reg: 0.02285 loss_rpn_cls: 0.003986 loss_rpn_loc: 0.001434 loss_D_img_s: 0.6724 loss_cls_pseudo: 0.0143 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002986 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7043 time: 0.8655 last_time: 1.3340 data_time: 0.0155 last_data_time: 0.0215 lr: 0.01 max_mem: 20425M +[03/21 08:29:33] d2.utils.events INFO: eta: 8:06:05 iter: 29739 total_loss: 1.451 loss_cls: 0.01086 loss_box_reg: 0.02769 loss_rpn_cls: 0.00373 loss_rpn_loc: 0.001648 loss_D_img_s: 0.7067 loss_cls_pseudo: 0.00797 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001671 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.679 time: 0.8659 last_time: 1.3469 data_time: 0.0194 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 08:30:02] d2.utils.events INFO: eta: 8:05:06 iter: 29759 total_loss: 1.445 loss_cls: 0.01217 loss_box_reg: 0.02317 loss_rpn_cls: 0.004425 loss_rpn_loc: 0.00156 loss_D_img_s: 0.6884 loss_cls_pseudo: 0.007327 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003929 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6958 time: 0.8663 last_time: 1.5581 data_time: 0.0217 last_data_time: 0.0146 lr: 0.01 max_mem: 20425M +[03/21 08:30:32] d2.utils.events INFO: eta: 8:04:51 iter: 29779 total_loss: 1.457 loss_cls: 0.009417 loss_box_reg: 0.02499 loss_rpn_cls: 0.002694 loss_rpn_loc: 0.001381 loss_D_img_s: 0.7033 loss_cls_pseudo: 0.015 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002616 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 0.8667 last_time: 1.4456 data_time: 0.0186 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 08:31:00] d2.utils.events INFO: eta: 8:03:47 iter: 29799 total_loss: 1.445 loss_cls: 0.01343 loss_box_reg: 0.03208 loss_rpn_cls: 0.005941 loss_rpn_loc: 0.001797 loss_D_img_s: 0.7016 loss_cls_pseudo: 0.006879 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003021 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6823 time: 0.8671 last_time: 1.5643 data_time: 0.0206 last_data_time: 0.0286 lr: 0.01 max_mem: 20425M +[03/21 08:31:29] d2.utils.events INFO: eta: 8:03:13 iter: 29819 total_loss: 1.46 loss_cls: 0.01503 loss_box_reg: 0.03733 loss_rpn_cls: 0.006193 loss_rpn_loc: 0.002728 loss_D_img_s: 0.7005 loss_cls_pseudo: 0.01568 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006422 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6819 time: 0.8675 last_time: 1.4494 data_time: 0.0171 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 08:31:58] d2.utils.events INFO: eta: 8:02:25 iter: 29839 total_loss: 1.451 loss_cls: 0.007678 loss_box_reg: 0.02595 loss_rpn_cls: 0.003735 loss_rpn_loc: 0.001707 loss_D_img_s: 0.7055 loss_cls_pseudo: 0.009965 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003391 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 0.8679 last_time: 1.2424 data_time: 0.0175 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 08:32:28] d2.utils.events INFO: eta: 8:02:09 iter: 29859 total_loss: 1.445 loss_cls: 0.01384 loss_box_reg: 0.02519 loss_rpn_cls: 0.005214 loss_rpn_loc: 0.001832 loss_D_img_s: 0.6966 loss_cls_pseudo: 0.01403 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003727 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6849 time: 0.8683 last_time: 1.4542 data_time: 0.0176 last_data_time: 0.0316 lr: 0.01 max_mem: 20425M +[03/21 08:32:56] d2.utils.events INFO: eta: 8:01:26 iter: 29879 total_loss: 1.44 loss_cls: 0.01223 loss_box_reg: 0.02561 loss_rpn_cls: 0.003906 loss_rpn_loc: 0.001681 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.00632 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001454 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 0.8687 last_time: 1.4597 data_time: 0.0175 last_data_time: 0.0139 lr: 0.01 max_mem: 20425M +[03/21 08:33:25] d2.utils.events INFO: eta: 8:00:51 iter: 29899 total_loss: 1.446 loss_cls: 0.01283 loss_box_reg: 0.0289 loss_rpn_cls: 0.003363 loss_rpn_loc: 0.002181 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.006025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001043 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6821 time: 0.8690 last_time: 1.3749 data_time: 0.0145 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 08:33:54] d2.utils.events INFO: eta: 8:00:22 iter: 29919 total_loss: 1.456 loss_cls: 0.0146 loss_box_reg: 0.03047 loss_rpn_cls: 0.003406 loss_rpn_loc: 0.001857 loss_D_img_s: 0.6854 loss_cls_pseudo: 0.009724 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001402 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 0.8694 last_time: 1.3202 data_time: 0.0189 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 08:34:23] d2.utils.events INFO: eta: 7:59:42 iter: 29939 total_loss: 1.464 loss_cls: 0.0133 loss_box_reg: 0.02782 loss_rpn_cls: 0.004344 loss_rpn_loc: 0.001651 loss_D_img_s: 0.7125 loss_cls_pseudo: 0.009129 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003912 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6724 time: 0.8698 last_time: 1.5755 data_time: 0.0195 last_data_time: 0.0321 lr: 0.01 max_mem: 20425M +[03/21 08:34:51] d2.utils.events INFO: eta: 7:59:04 iter: 29959 total_loss: 1.446 loss_cls: 0.01103 loss_box_reg: 0.0241 loss_rpn_cls: 0.004509 loss_rpn_loc: 0.0018 loss_D_img_s: 0.6748 loss_cls_pseudo: 0.01121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001975 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7112 time: 0.8702 last_time: 1.4800 data_time: 0.0235 last_data_time: 0.0216 lr: 0.01 max_mem: 20425M +[03/21 08:35:21] d2.utils.events INFO: eta: 7:58:36 iter: 29979 total_loss: 1.445 loss_cls: 0.01142 loss_box_reg: 0.02562 loss_rpn_cls: 0.004117 loss_rpn_loc: 0.001525 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.006998 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002487 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6826 time: 0.8706 last_time: 1.3735 data_time: 0.0194 last_data_time: 0.0305 lr: 0.01 max_mem: 20425M +[03/21 08:35:50] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0029999.pth +[03/21 08:35:51] d2.data.common INFO: Serializing the dataset using: +[03/21 08:35:51] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 08:35:51] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 08:35:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 08:35:51] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 08:35:53] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 08:38:02] d2.evaluation.evaluator INFO: Total inference time: 0:02:09.364092 (0.130935 s / iter per device, on 1 devices) +[03/21 08:38:02] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073626 s / iter per device, on 1 devices) +[03/21 08:38:02] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 08:38:02] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 08:38:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 08:38:02] d2.evaluation.testing INFO: copypaste: 0.6202,3.3404,0.1663 +[03/21 08:38:02] d2.data.common INFO: Serializing the dataset using: +[03/21 08:38:02] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 08:38:02] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 08:38:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 08:38:02] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 08:38:05] d2.evaluation.evaluator INFO: Inference done 18/993. 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ETA=0:00:20 +[03/21 08:39:58] d2.evaluation.evaluator INFO: Inference done 875/993. Dataloading: 0.0573 s/iter. Inference: 0.0739 s/iter. Eval: 0.0002 s/iter. Total: 0.1316 s/iter. ETA=0:00:15 +[03/21 08:40:03] d2.evaluation.evaluator INFO: Inference done 911/993. Dataloading: 0.0579 s/iter. Inference: 0.0740 s/iter. Eval: 0.0002 s/iter. Total: 0.1322 s/iter. ETA=0:00:10 +[03/21 08:40:08] d2.evaluation.evaluator INFO: Inference done 950/993. Dataloading: 0.0579 s/iter. Inference: 0.0738 s/iter. Eval: 0.0002 s/iter. Total: 0.1321 s/iter. ETA=0:00:05 +[03/21 08:40:13] d2.evaluation.evaluator INFO: Inference done 989/993. Dataloading: 0.0579 s/iter. Inference: 0.0737 s/iter. Eval: 0.0002 s/iter. Total: 0.1320 s/iter. ETA=0:00:00 +[03/21 08:40:14] d2.evaluation.evaluator INFO: Total inference time: 0:02:10.560485 (0.132146 s / iter per device, on 1 devices) +[03/21 08:40:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073653 s / iter per device, on 1 devices) +[03/21 08:40:14] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 08:40:14] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 08:40:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 08:40:14] d2.evaluation.testing INFO: copypaste: 0.6976,3.2961,0.2159 +[03/21 08:40:14] d2.utils.events INFO: eta: 7:58:15 iter: 29999 total_loss: 1.442 loss_cls: 0.01067 loss_box_reg: 0.02576 loss_rpn_cls: 0.00332 loss_rpn_loc: 0.001358 loss_D_img_s: 0.6983 loss_cls_pseudo: 0.007749 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002069 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6792 time: 0.8710 last_time: 1.3222 data_time: 0.0216 last_data_time: 0.0168 lr: 0.01 max_mem: 20425M +[03/21 08:40:41] d2.utils.events INFO: eta: 7:57:38 iter: 30019 total_loss: 1.448 loss_cls: 0.01244 loss_box_reg: 0.02697 loss_rpn_cls: 0.004461 loss_rpn_loc: 0.002214 loss_D_img_s: 0.7034 loss_cls_pseudo: 0.007908 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0018 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6809 time: 0.8713 last_time: 1.4738 data_time: 0.0167 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 08:41:09] d2.utils.events INFO: eta: 7:57:12 iter: 30039 total_loss: 1.466 loss_cls: 0.01132 loss_box_reg: 0.02942 loss_rpn_cls: 0.003708 loss_rpn_loc: 0.001516 loss_D_img_s: 0.7012 loss_cls_pseudo: 0.009679 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002709 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 0.8716 last_time: 1.3432 data_time: 0.0233 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 08:41:37] d2.utils.events INFO: eta: 7:56:49 iter: 30059 total_loss: 1.447 loss_cls: 0.01263 loss_box_reg: 0.02801 loss_rpn_cls: 0.002386 loss_rpn_loc: 0.001489 loss_D_img_s: 0.6662 loss_cls_pseudo: 0.009238 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00165 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7223 time: 0.8720 last_time: 1.4493 data_time: 0.0198 last_data_time: 0.0255 lr: 0.01 max_mem: 20425M +[03/21 08:42:05] d2.utils.events INFO: eta: 7:56:12 iter: 30079 total_loss: 1.461 loss_cls: 0.01171 loss_box_reg: 0.02402 loss_rpn_cls: 0.002778 loss_rpn_loc: 0.001819 loss_D_img_s: 0.7117 loss_cls_pseudo: 0.01913 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007928 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6754 time: 0.8723 last_time: 1.3624 data_time: 0.0184 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 08:42:33] d2.utils.events INFO: eta: 7:55:25 iter: 30099 total_loss: 1.451 loss_cls: 0.011 loss_box_reg: 0.03194 loss_rpn_cls: 0.004032 loss_rpn_loc: 0.001675 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.01101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001625 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 0.8727 last_time: 1.3907 data_time: 0.0185 last_data_time: 0.0224 lr: 0.01 max_mem: 20425M +[03/21 08:43:02] d2.utils.events INFO: eta: 7:54:57 iter: 30119 total_loss: 1.464 loss_cls: 0.01443 loss_box_reg: 0.02845 loss_rpn_cls: 0.005862 loss_rpn_loc: 0.002107 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.005421 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002323 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 0.8731 last_time: 1.4521 data_time: 0.0185 last_data_time: 0.0166 lr: 0.01 max_mem: 20425M +[03/21 08:43:32] d2.utils.events INFO: eta: 7:54:46 iter: 30139 total_loss: 1.457 loss_cls: 0.01145 loss_box_reg: 0.03195 loss_rpn_cls: 0.004502 loss_rpn_loc: 0.001526 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002231 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 0.8735 last_time: 1.3542 data_time: 0.0182 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 08:44:00] d2.utils.events INFO: eta: 7:53:53 iter: 30159 total_loss: 1.449 loss_cls: 0.01169 loss_box_reg: 0.02558 loss_rpn_cls: 0.004185 loss_rpn_loc: 0.001732 loss_D_img_s: 0.698 loss_cls_pseudo: 0.01459 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6787 time: 0.8738 last_time: 1.5323 data_time: 0.0182 last_data_time: 0.0151 lr: 0.01 max_mem: 20425M +[03/21 08:44:29] d2.utils.events INFO: eta: 7:53:17 iter: 30179 total_loss: 1.45 loss_cls: 0.01144 loss_box_reg: 0.0292 loss_rpn_cls: 0.003929 loss_rpn_loc: 0.002472 loss_D_img_s: 0.7002 loss_cls_pseudo: 0.01135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004034 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 0.8742 last_time: 1.5647 data_time: 0.0228 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 08:44:58] d2.utils.events INFO: eta: 7:52:48 iter: 30199 total_loss: 1.452 loss_cls: 0.009174 loss_box_reg: 0.02758 loss_rpn_cls: 0.003159 loss_rpn_loc: 0.001728 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.01509 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006289 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6893 time: 0.8746 last_time: 1.4790 data_time: 0.0283 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 08:45:27] d2.utils.events INFO: eta: 7:52:33 iter: 30219 total_loss: 1.456 loss_cls: 0.01378 loss_box_reg: 0.03217 loss_rpn_cls: 0.004772 loss_rpn_loc: 0.001838 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.01204 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002769 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6737 time: 0.8750 last_time: 1.4490 data_time: 0.0273 last_data_time: 0.0094 lr: 0.01 max_mem: 20425M +[03/21 08:45:55] d2.utils.events INFO: eta: 7:52:22 iter: 30239 total_loss: 1.446 loss_cls: 0.01149 loss_box_reg: 0.02391 loss_rpn_cls: 0.004476 loss_rpn_loc: 0.001456 loss_D_img_s: 0.7162 loss_cls_pseudo: 0.006706 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002585 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6663 time: 0.8753 last_time: 1.4563 data_time: 0.0177 last_data_time: 0.0117 lr: 0.01 max_mem: 20425M +[03/21 08:46:25] d2.utils.events INFO: eta: 7:52:01 iter: 30259 total_loss: 1.464 loss_cls: 0.0138 loss_box_reg: 0.02878 loss_rpn_cls: 0.002865 loss_rpn_loc: 0.001985 loss_D_img_s: 0.6863 loss_cls_pseudo: 0.01907 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005744 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6963 time: 0.8757 last_time: 1.5568 data_time: 0.0171 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 08:46:54] d2.utils.events INFO: eta: 7:51:43 iter: 30279 total_loss: 1.459 loss_cls: 0.01438 loss_box_reg: 0.02545 loss_rpn_cls: 0.002944 loss_rpn_loc: 0.001631 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.01112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002822 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 0.8761 last_time: 1.5200 data_time: 0.0160 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 08:47:23] d2.utils.events INFO: eta: 7:51:15 iter: 30299 total_loss: 1.436 loss_cls: 0.009469 loss_box_reg: 0.02789 loss_rpn_cls: 0.002272 loss_rpn_loc: 0.001978 loss_D_img_s: 0.6752 loss_cls_pseudo: 0.006166 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7063 time: 0.8765 last_time: 1.4119 data_time: 0.0219 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 08:47:52] d2.utils.events INFO: eta: 7:50:28 iter: 30319 total_loss: 1.458 loss_cls: 0.01056 loss_box_reg: 0.0289 loss_rpn_cls: 0.00206 loss_rpn_loc: 0.002113 loss_D_img_s: 0.7153 loss_cls_pseudo: 0.01655 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005413 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6637 time: 0.8769 last_time: 1.2947 data_time: 0.0190 last_data_time: 0.0131 lr: 0.01 max_mem: 20425M +[03/21 08:48:21] d2.utils.events INFO: eta: 7:50:00 iter: 30339 total_loss: 1.452 loss_cls: 0.01129 loss_box_reg: 0.02447 loss_rpn_cls: 0.004877 loss_rpn_loc: 0.001655 loss_D_img_s: 0.6872 loss_cls_pseudo: 0.006751 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00217 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7019 time: 0.8772 last_time: 1.4193 data_time: 0.0209 last_data_time: 0.0130 lr: 0.01 max_mem: 20425M +[03/21 08:48:50] d2.utils.events INFO: eta: 7:49:23 iter: 30359 total_loss: 1.446 loss_cls: 0.01367 loss_box_reg: 0.03138 loss_rpn_cls: 0.003988 loss_rpn_loc: 0.001975 loss_D_img_s: 0.6776 loss_cls_pseudo: 0.006886 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001522 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6984 time: 0.8776 last_time: 1.5946 data_time: 0.0212 last_data_time: 0.0162 lr: 0.01 max_mem: 20425M +[03/21 08:49:19] d2.utils.events INFO: eta: 7:48:38 iter: 30379 total_loss: 1.458 loss_cls: 0.01033 loss_box_reg: 0.0271 loss_rpn_cls: 0.003656 loss_rpn_loc: 0.002011 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.0103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003874 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6801 time: 0.8780 last_time: 1.4286 data_time: 0.0171 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 08:49:48] d2.utils.events INFO: eta: 7:48:13 iter: 30399 total_loss: 1.432 loss_cls: 0.007653 loss_box_reg: 0.02373 loss_rpn_cls: 0.002821 loss_rpn_loc: 0.00175 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.006253 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001671 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6875 time: 0.8784 last_time: 1.4020 data_time: 0.0173 last_data_time: 0.0124 lr: 0.01 max_mem: 20425M +[03/21 08:50:18] d2.utils.events INFO: eta: 7:47:28 iter: 30419 total_loss: 1.459 loss_cls: 0.0134 loss_box_reg: 0.02601 loss_rpn_cls: 0.004863 loss_rpn_loc: 0.001938 loss_D_img_s: 0.6758 loss_cls_pseudo: 0.008458 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001313 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7021 time: 0.8788 last_time: 1.5582 data_time: 0.0235 last_data_time: 0.0490 lr: 0.01 max_mem: 20425M +[03/21 08:50:46] d2.utils.events INFO: eta: 7:47:06 iter: 30439 total_loss: 1.465 loss_cls: 0.01309 loss_box_reg: 0.03338 loss_rpn_cls: 0.003914 loss_rpn_loc: 0.001619 loss_D_img_s: 0.7138 loss_cls_pseudo: 0.0113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002438 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6707 time: 0.8791 last_time: 1.4434 data_time: 0.0152 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 08:51:15] d2.utils.events INFO: eta: 7:46:29 iter: 30459 total_loss: 1.439 loss_cls: 0.009239 loss_box_reg: 0.02918 loss_rpn_cls: 0.002051 loss_rpn_loc: 0.00163 loss_D_img_s: 0.6982 loss_cls_pseudo: 0.01194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003053 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6783 time: 0.8795 last_time: 1.4436 data_time: 0.0184 last_data_time: 0.0299 lr: 0.01 max_mem: 20425M +[03/21 08:51:44] d2.utils.events INFO: eta: 7:46:14 iter: 30479 total_loss: 1.456 loss_cls: 0.01187 loss_box_reg: 0.0319 loss_rpn_cls: 0.00316 loss_rpn_loc: 0.001914 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.01112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002892 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.684 time: 0.8799 last_time: 1.4272 data_time: 0.0233 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 08:52:14] d2.utils.events INFO: eta: 7:45:49 iter: 30499 total_loss: 1.452 loss_cls: 0.008166 loss_box_reg: 0.02529 loss_rpn_cls: 0.002011 loss_rpn_loc: 0.001667 loss_D_img_s: 0.687 loss_cls_pseudo: 0.01554 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004472 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 0.8803 last_time: 1.4211 data_time: 0.0229 last_data_time: 0.0218 lr: 0.01 max_mem: 20425M +[03/21 08:52:43] d2.utils.events INFO: eta: 7:45:59 iter: 30519 total_loss: 1.455 loss_cls: 0.01601 loss_box_reg: 0.02669 loss_rpn_cls: 0.004063 loss_rpn_loc: 0.001561 loss_D_img_s: 0.7013 loss_cls_pseudo: 0.01188 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001887 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6808 time: 0.8806 last_time: 1.3816 data_time: 0.0198 last_data_time: 0.0283 lr: 0.01 max_mem: 20425M +[03/21 08:53:12] d2.utils.events INFO: eta: 7:45:15 iter: 30539 total_loss: 1.469 loss_cls: 0.01357 loss_box_reg: 0.03047 loss_rpn_cls: 0.00381 loss_rpn_loc: 0.001484 loss_D_img_s: 0.6709 loss_cls_pseudo: 0.009774 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003279 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7142 time: 0.8810 last_time: 1.5535 data_time: 0.0242 last_data_time: 0.0566 lr: 0.01 max_mem: 20425M +[03/21 08:53:41] d2.utils.events INFO: eta: 7:44:44 iter: 30559 total_loss: 1.433 loss_cls: 0.009235 loss_box_reg: 0.02263 loss_rpn_cls: 0.002347 loss_rpn_loc: 0.001512 loss_D_img_s: 0.6878 loss_cls_pseudo: 0.006261 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001659 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6955 time: 0.8814 last_time: 1.3795 data_time: 0.0244 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 08:54:10] d2.utils.events INFO: eta: 7:44:16 iter: 30579 total_loss: 1.468 loss_cls: 0.01101 loss_box_reg: 0.03027 loss_rpn_cls: 0.004204 loss_rpn_loc: 0.002041 loss_D_img_s: 0.6897 loss_cls_pseudo: 0.01981 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.01039 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6888 time: 0.8818 last_time: 1.4917 data_time: 0.0245 last_data_time: 0.0091 lr: 0.01 max_mem: 20425M +[03/21 08:54:39] d2.utils.events INFO: eta: 7:43:55 iter: 30599 total_loss: 1.455 loss_cls: 0.01334 loss_box_reg: 0.0301 loss_rpn_cls: 0.005118 loss_rpn_loc: 0.002285 loss_D_img_s: 0.6725 loss_cls_pseudo: 0.01407 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003396 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7086 time: 0.8821 last_time: 1.3367 data_time: 0.0217 last_data_time: 0.0225 lr: 0.01 max_mem: 20425M +[03/21 08:55:09] d2.utils.events INFO: eta: 7:44:02 iter: 30619 total_loss: 1.468 loss_cls: 0.01297 loss_box_reg: 0.0267 loss_rpn_cls: 0.004121 loss_rpn_loc: 0.001995 loss_D_img_s: 0.6821 loss_cls_pseudo: 0.01265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002954 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6992 time: 0.8825 last_time: 1.4623 data_time: 0.0213 last_data_time: 0.0356 lr: 0.01 max_mem: 20425M +[03/21 08:55:38] d2.utils.events INFO: eta: 7:43:43 iter: 30639 total_loss: 1.441 loss_cls: 0.01038 loss_box_reg: 0.02648 loss_rpn_cls: 0.002613 loss_rpn_loc: 0.001644 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.01188 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005214 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 0.8829 last_time: 1.4424 data_time: 0.0168 last_data_time: 0.0416 lr: 0.01 max_mem: 20425M +[03/21 08:56:07] d2.utils.events INFO: eta: 7:43:23 iter: 30659 total_loss: 1.461 loss_cls: 0.01214 loss_box_reg: 0.02745 loss_rpn_cls: 0.004556 loss_rpn_loc: 0.001918 loss_D_img_s: 0.6754 loss_cls_pseudo: 0.007387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003457 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7126 time: 0.8833 last_time: 1.2730 data_time: 0.0269 last_data_time: 0.0355 lr: 0.01 max_mem: 20425M +[03/21 08:56:36] d2.utils.events INFO: eta: 7:43:01 iter: 30679 total_loss: 1.453 loss_cls: 0.01076 loss_box_reg: 0.02541 loss_rpn_cls: 0.004302 loss_rpn_loc: 0.001616 loss_D_img_s: 0.7034 loss_cls_pseudo: 0.0118 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003367 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6828 time: 0.8836 last_time: 1.4481 data_time: 0.0253 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 08:57:05] d2.utils.events INFO: eta: 7:43:02 iter: 30699 total_loss: 1.454 loss_cls: 0.01039 loss_box_reg: 0.0307 loss_rpn_cls: 0.002414 loss_rpn_loc: 0.001531 loss_D_img_s: 0.6843 loss_cls_pseudo: 0.007818 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002031 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 0.8840 last_time: 1.4562 data_time: 0.0205 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 08:57:34] d2.utils.events INFO: eta: 7:42:31 iter: 30719 total_loss: 1.441 loss_cls: 0.008842 loss_box_reg: 0.02849 loss_rpn_cls: 0.00363 loss_rpn_loc: 0.001894 loss_D_img_s: 0.6889 loss_cls_pseudo: 0.008451 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004519 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6849 time: 0.8844 last_time: 1.4326 data_time: 0.0196 last_data_time: 0.0149 lr: 0.01 max_mem: 20425M +[03/21 08:58:02] d2.utils.events INFO: eta: 7:42:15 iter: 30739 total_loss: 1.436 loss_cls: 0.009834 loss_box_reg: 0.02342 loss_rpn_cls: 0.00265 loss_rpn_loc: 0.001781 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.00784 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00219 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6961 time: 0.8847 last_time: 1.3640 data_time: 0.0182 last_data_time: 0.0210 lr: 0.01 max_mem: 20425M +[03/21 08:58:31] d2.utils.events INFO: eta: 7:42:05 iter: 30759 total_loss: 1.444 loss_cls: 0.01089 loss_box_reg: 0.02401 loss_rpn_cls: 0.003088 loss_rpn_loc: 0.00168 loss_D_img_s: 0.6974 loss_cls_pseudo: 0.007796 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 0.8851 last_time: 1.5171 data_time: 0.0194 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 08:59:01] d2.utils.events INFO: eta: 7:41:43 iter: 30779 total_loss: 1.461 loss_cls: 0.01212 loss_box_reg: 0.02851 loss_rpn_cls: 0.003916 loss_rpn_loc: 0.001573 loss_D_img_s: 0.7068 loss_cls_pseudo: 0.01276 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004093 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6788 time: 0.8855 last_time: 1.4852 data_time: 0.0189 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 08:59:30] d2.utils.events INFO: eta: 7:41:19 iter: 30799 total_loss: 1.457 loss_cls: 0.0127 loss_box_reg: 0.02879 loss_rpn_cls: 0.005409 loss_rpn_loc: 0.001777 loss_D_img_s: 0.6729 loss_cls_pseudo: 0.01267 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002914 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7124 time: 0.8859 last_time: 1.3751 data_time: 0.0185 last_data_time: 0.0191 lr: 0.01 max_mem: 20425M +[03/21 08:59:58] d2.utils.events INFO: eta: 7:40:33 iter: 30819 total_loss: 1.439 loss_cls: 0.01023 loss_box_reg: 0.02154 loss_rpn_cls: 0.004721 loss_rpn_loc: 0.0017 loss_D_img_s: 0.7032 loss_cls_pseudo: 0.0117 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001922 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6722 time: 0.8862 last_time: 1.5331 data_time: 0.0177 last_data_time: 0.0251 lr: 0.01 max_mem: 20425M +[03/21 09:00:27] d2.utils.events INFO: eta: 7:40:10 iter: 30839 total_loss: 1.462 loss_cls: 0.01249 loss_box_reg: 0.03339 loss_rpn_cls: 0.005973 loss_rpn_loc: 0.002236 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.009832 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003583 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6841 time: 0.8866 last_time: 1.3615 data_time: 0.0210 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 09:00:56] d2.utils.events INFO: eta: 7:39:15 iter: 30859 total_loss: 1.445 loss_cls: 0.013 loss_box_reg: 0.02545 loss_rpn_cls: 0.00375 loss_rpn_loc: 0.001952 loss_D_img_s: 0.7079 loss_cls_pseudo: 0.009201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6834 time: 0.8869 last_time: 1.4021 data_time: 0.0216 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 09:01:25] d2.utils.events INFO: eta: 7:38:56 iter: 30879 total_loss: 1.461 loss_cls: 0.01381 loss_box_reg: 0.02605 loss_rpn_cls: 0.005308 loss_rpn_loc: 0.001525 loss_D_img_s: 0.6889 loss_cls_pseudo: 0.01143 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002596 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 0.8873 last_time: 1.3792 data_time: 0.0163 last_data_time: 0.0092 lr: 0.01 max_mem: 20425M +[03/21 09:01:53] d2.utils.events INFO: eta: 7:38:27 iter: 30899 total_loss: 1.453 loss_cls: 0.01081 loss_box_reg: 0.02638 loss_rpn_cls: 0.003328 loss_rpn_loc: 0.001361 loss_D_img_s: 0.7023 loss_cls_pseudo: 0.01461 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.008137 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6826 time: 0.8876 last_time: 1.4205 data_time: 0.0207 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 09:02:22] d2.utils.events INFO: eta: 7:37:58 iter: 30919 total_loss: 1.461 loss_cls: 0.01243 loss_box_reg: 0.02514 loss_rpn_cls: 0.004716 loss_rpn_loc: 0.001799 loss_D_img_s: 0.6768 loss_cls_pseudo: 0.01111 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003247 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7157 time: 0.8880 last_time: 1.4597 data_time: 0.0217 last_data_time: 0.0165 lr: 0.01 max_mem: 20425M +[03/21 09:02:52] d2.utils.events INFO: eta: 7:37:53 iter: 30939 total_loss: 1.432 loss_cls: 0.01024 loss_box_reg: 0.02507 loss_rpn_cls: 0.00217 loss_rpn_loc: 0.001495 loss_D_img_s: 0.7037 loss_cls_pseudo: 0.006346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009746 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6816 time: 0.8884 last_time: 1.3182 data_time: 0.0186 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 09:03:21] d2.utils.events INFO: eta: 7:37:37 iter: 30959 total_loss: 1.443 loss_cls: 0.007438 loss_box_reg: 0.02706 loss_rpn_cls: 0.001831 loss_rpn_loc: 0.001481 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.008369 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002635 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.8887 last_time: 1.5248 data_time: 0.0225 last_data_time: 0.0139 lr: 0.01 max_mem: 20425M +[03/21 09:03:49] d2.utils.events INFO: eta: 7:37:01 iter: 30979 total_loss: 1.451 loss_cls: 0.01127 loss_box_reg: 0.02742 loss_rpn_cls: 0.002304 loss_rpn_loc: 0.001442 loss_D_img_s: 0.6848 loss_cls_pseudo: 0.007071 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002106 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6991 time: 0.8891 last_time: 1.5021 data_time: 0.0186 last_data_time: 0.0301 lr: 0.01 max_mem: 20425M +[03/21 09:04:19] d2.data.common INFO: Serializing the dataset using: +[03/21 09:04:19] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 09:04:19] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 09:04:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 09:04:19] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 09:04:21] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 09:06:25] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.685919 (0.126200 s / iter per device, on 1 devices) +[03/21 09:06:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:08 (0.069458 s / iter per device, on 1 devices) +[03/21 09:06:25] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 09:06:25] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 09:06:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 09:06:25] d2.evaluation.testing INFO: copypaste: 0.5644,2.7692,0.2294 +[03/21 09:06:25] d2.data.common INFO: Serializing the dataset using: +[03/21 09:06:25] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 09:06:25] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 09:06:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 09:06:25] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 09:06:29] d2.evaluation.evaluator INFO: Inference done 21/993. 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ETA=0:00:01 +[03/21 09:08:32] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.858747 (0.127387 s / iter per device, on 1 devices) +[03/21 09:08:32] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072844 s / iter per device, on 1 devices) +[03/21 09:08:33] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 09:08:33] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 09:08:33] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 09:08:33] d2.evaluation.testing INFO: copypaste: 0.6421,3.0272,0.2446 +[03/21 09:08:33] d2.utils.events INFO: eta: 7:36:40 iter: 30999 total_loss: 1.447 loss_cls: 0.01056 loss_box_reg: 0.02689 loss_rpn_cls: 0.003658 loss_rpn_loc: 0.001823 loss_D_img_s: 0.7141 loss_cls_pseudo: 0.004782 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001824 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6712 time: 0.8894 last_time: 1.5010 data_time: 0.0139 last_data_time: 0.0179 lr: 0.01 max_mem: 20425M +[03/21 09:09:00] d2.utils.events INFO: eta: 7:36:22 iter: 31019 total_loss: 1.46 loss_cls: 0.01189 loss_box_reg: 0.03425 loss_rpn_cls: 0.004193 loss_rpn_loc: 0.001801 loss_D_img_s: 0.7064 loss_cls_pseudo: 0.01233 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003377 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.679 time: 0.8897 last_time: 1.4834 data_time: 0.0188 last_data_time: 0.0142 lr: 0.01 max_mem: 20425M +[03/21 09:09:27] d2.utils.events INFO: eta: 7:35:39 iter: 31039 total_loss: 1.455 loss_cls: 0.01198 loss_box_reg: 0.03262 loss_rpn_cls: 0.003365 loss_rpn_loc: 0.001869 loss_D_img_s: 0.6874 loss_cls_pseudo: 0.01075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002917 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 0.8900 last_time: 1.3815 data_time: 0.0201 last_data_time: 0.0117 lr: 0.01 max_mem: 20425M +[03/21 09:09:54] d2.utils.events INFO: eta: 7:35:03 iter: 31059 total_loss: 1.455 loss_cls: 0.01115 loss_box_reg: 0.02802 loss_rpn_cls: 0.003223 loss_rpn_loc: 0.00172 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.008852 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002102 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6954 time: 0.8904 last_time: 1.4192 data_time: 0.0181 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 09:10:23] d2.utils.events INFO: eta: 7:34:35 iter: 31079 total_loss: 1.455 loss_cls: 0.01484 loss_box_reg: 0.03081 loss_rpn_cls: 0.004926 loss_rpn_loc: 0.001994 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.01242 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6826 time: 0.8907 last_time: 1.4677 data_time: 0.0193 last_data_time: 0.0274 lr: 0.01 max_mem: 20425M +[03/21 09:10:51] d2.utils.events INFO: eta: 7:33:52 iter: 31099 total_loss: 1.426 loss_cls: 0.01073 loss_box_reg: 0.02665 loss_rpn_cls: 0.00389 loss_rpn_loc: 0.002208 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.00357 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001384 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6841 time: 0.8910 last_time: 1.3261 data_time: 0.0167 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 09:11:19] d2.utils.events INFO: eta: 7:33:23 iter: 31119 total_loss: 1.452 loss_cls: 0.01083 loss_box_reg: 0.02347 loss_rpn_cls: 0.003298 loss_rpn_loc: 0.002228 loss_D_img_s: 0.6775 loss_cls_pseudo: 0.01002 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001802 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 0.8914 last_time: 1.3051 data_time: 0.0183 last_data_time: 0.0327 lr: 0.01 max_mem: 20425M +[03/21 09:11:47] d2.utils.events INFO: eta: 7:32:47 iter: 31139 total_loss: 1.445 loss_cls: 0.01113 loss_box_reg: 0.02664 loss_rpn_cls: 0.003413 loss_rpn_loc: 0.001671 loss_D_img_s: 0.705 loss_cls_pseudo: 0.009917 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.68 time: 0.8917 last_time: 1.4157 data_time: 0.0163 last_data_time: 0.0131 lr: 0.01 max_mem: 20425M +[03/21 09:12:16] d2.utils.events INFO: eta: 7:32:11 iter: 31159 total_loss: 1.451 loss_cls: 0.00781 loss_box_reg: 0.02374 loss_rpn_cls: 0.003718 loss_rpn_loc: 0.001566 loss_D_img_s: 0.6877 loss_cls_pseudo: 0.0138 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6866 time: 0.8920 last_time: 1.4130 data_time: 0.0148 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 09:12:45] d2.utils.events INFO: eta: 7:31:55 iter: 31179 total_loss: 1.437 loss_cls: 0.007743 loss_box_reg: 0.02668 loss_rpn_cls: 0.002526 loss_rpn_loc: 0.001831 loss_D_img_s: 0.6852 loss_cls_pseudo: 0.0105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002436 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6879 time: 0.8924 last_time: 1.5800 data_time: 0.0222 last_data_time: 0.0133 lr: 0.01 max_mem: 20425M +[03/21 09:13:13] d2.utils.events INFO: eta: 7:31:02 iter: 31199 total_loss: 1.455 loss_cls: 0.01048 loss_box_reg: 0.02764 loss_rpn_cls: 0.003777 loss_rpn_loc: 0.002291 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.00887 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002482 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6805 time: 0.8927 last_time: 1.4355 data_time: 0.0218 last_data_time: 0.0297 lr: 0.01 max_mem: 20425M +[03/21 09:13:42] d2.utils.events INFO: eta: 7:30:32 iter: 31219 total_loss: 1.443 loss_cls: 0.01163 loss_box_reg: 0.02291 loss_rpn_cls: 0.002976 loss_rpn_loc: 0.001233 loss_D_img_s: 0.6739 loss_cls_pseudo: 0.007802 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002198 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7142 time: 0.8931 last_time: 1.2544 data_time: 0.0187 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 09:14:11] d2.utils.events INFO: eta: 7:30:03 iter: 31239 total_loss: 1.447 loss_cls: 0.008629 loss_box_reg: 0.02683 loss_rpn_cls: 0.002391 loss_rpn_loc: 0.001959 loss_D_img_s: 0.7043 loss_cls_pseudo: 0.01215 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002895 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.8934 last_time: 1.2144 data_time: 0.0163 last_data_time: 0.0149 lr: 0.01 max_mem: 20425M +[03/21 09:14:40] d2.utils.events INFO: eta: 7:29:35 iter: 31259 total_loss: 1.438 loss_cls: 0.0122 loss_box_reg: 0.02583 loss_rpn_cls: 0.004265 loss_rpn_loc: 0.002247 loss_D_img_s: 0.6653 loss_cls_pseudo: 0.005174 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009847 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7217 time: 0.8938 last_time: 1.5503 data_time: 0.0164 last_data_time: 0.0085 lr: 0.01 max_mem: 20425M +[03/21 09:15:10] d2.utils.events INFO: eta: 7:29:07 iter: 31279 total_loss: 1.458 loss_cls: 0.01235 loss_box_reg: 0.0292 loss_rpn_cls: 0.004457 loss_rpn_loc: 0.001759 loss_D_img_s: 0.7237 loss_cls_pseudo: 0.01011 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002295 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6699 time: 0.8942 last_time: 1.4911 data_time: 0.0258 last_data_time: 0.0255 lr: 0.01 max_mem: 20425M +[03/21 09:15:39] d2.utils.events INFO: eta: 7:28:38 iter: 31299 total_loss: 1.459 loss_cls: 0.01116 loss_box_reg: 0.02955 loss_rpn_cls: 0.004298 loss_rpn_loc: 0.001976 loss_D_img_s: 0.7024 loss_cls_pseudo: 0.01053 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002473 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.8945 last_time: 1.3887 data_time: 0.0177 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 09:16:09] d2.utils.events INFO: eta: 7:28:27 iter: 31319 total_loss: 1.438 loss_cls: 0.01137 loss_box_reg: 0.02151 loss_rpn_cls: 0.004398 loss_rpn_loc: 0.001767 loss_D_img_s: 0.6852 loss_cls_pseudo: 0.009176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003445 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7075 time: 0.8949 last_time: 1.5585 data_time: 0.0163 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 09:16:37] d2.utils.events INFO: eta: 7:27:46 iter: 31339 total_loss: 1.435 loss_cls: 0.006595 loss_box_reg: 0.01977 loss_rpn_cls: 0.001532 loss_rpn_loc: 0.001347 loss_D_img_s: 0.7328 loss_cls_pseudo: 0.009263 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00178 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6537 time: 0.8952 last_time: 1.5042 data_time: 0.0183 last_data_time: 0.0295 lr: 0.01 max_mem: 20425M +[03/21 09:17:07] d2.utils.events INFO: eta: 7:27:50 iter: 31359 total_loss: 1.444 loss_cls: 0.01008 loss_box_reg: 0.02362 loss_rpn_cls: 0.003341 loss_rpn_loc: 0.001655 loss_D_img_s: 0.6858 loss_cls_pseudo: 0.00737 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001328 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 0.8956 last_time: 1.4459 data_time: 0.0169 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 09:17:36] d2.utils.events INFO: eta: 7:27:22 iter: 31379 total_loss: 1.463 loss_cls: 0.009778 loss_box_reg: 0.02975 loss_rpn_cls: 0.001325 loss_rpn_loc: 0.002201 loss_D_img_s: 0.6826 loss_cls_pseudo: 0.01367 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00197 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 0.8960 last_time: 1.3681 data_time: 0.0190 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 09:18:06] d2.utils.events INFO: eta: 7:26:58 iter: 31399 total_loss: 1.461 loss_cls: 0.01186 loss_box_reg: 0.03089 loss_rpn_cls: 0.004643 loss_rpn_loc: 0.001684 loss_D_img_s: 0.7008 loss_cls_pseudo: 0.007537 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001555 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6864 time: 0.8964 last_time: 1.5247 data_time: 0.0218 last_data_time: 0.0179 lr: 0.01 max_mem: 20425M +[03/21 09:18:35] d2.utils.events INFO: eta: 7:26:36 iter: 31419 total_loss: 1.447 loss_cls: 0.008399 loss_box_reg: 0.02544 loss_rpn_cls: 0.003232 loss_rpn_loc: 0.001713 loss_D_img_s: 0.6655 loss_cls_pseudo: 0.005173 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001714 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7115 time: 0.8967 last_time: 1.4769 data_time: 0.0228 last_data_time: 0.0143 lr: 0.01 max_mem: 20425M +[03/21 09:19:05] d2.utils.events INFO: eta: 7:26:13 iter: 31439 total_loss: 1.453 loss_cls: 0.01289 loss_box_reg: 0.02688 loss_rpn_cls: 0.005017 loss_rpn_loc: 0.001764 loss_D_img_s: 0.6745 loss_cls_pseudo: 0.007088 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001763 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7063 time: 0.8971 last_time: 1.4703 data_time: 0.0189 last_data_time: 0.0228 lr: 0.01 max_mem: 20425M +[03/21 09:19:34] d2.utils.events INFO: eta: 7:26:07 iter: 31459 total_loss: 1.442 loss_cls: 0.009556 loss_box_reg: 0.02274 loss_rpn_cls: 0.002684 loss_rpn_loc: 0.00171 loss_D_img_s: 0.6898 loss_cls_pseudo: 0.01034 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003901 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 0.8975 last_time: 1.5793 data_time: 0.0210 last_data_time: 0.0220 lr: 0.01 max_mem: 20425M +[03/21 09:20:04] d2.utils.events INFO: eta: 7:25:27 iter: 31479 total_loss: 1.44 loss_cls: 0.007698 loss_box_reg: 0.02415 loss_rpn_cls: 0.001281 loss_rpn_loc: 0.002198 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.009383 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002645 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 0.8978 last_time: 1.4426 data_time: 0.0194 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 09:20:33] d2.utils.events INFO: eta: 7:25:02 iter: 31499 total_loss: 1.451 loss_cls: 0.01225 loss_box_reg: 0.02918 loss_rpn_cls: 0.00359 loss_rpn_loc: 0.001931 loss_D_img_s: 0.6739 loss_cls_pseudo: 0.01496 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002027 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7036 time: 0.8982 last_time: 1.5342 data_time: 0.0126 last_data_time: 0.0089 lr: 0.01 max_mem: 20425M +[03/21 09:21:02] d2.utils.events INFO: eta: 7:24:22 iter: 31519 total_loss: 1.453 loss_cls: 0.00916 loss_box_reg: 0.03241 loss_rpn_cls: 0.001406 loss_rpn_loc: 0.001884 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.01404 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003837 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 0.8985 last_time: 1.3353 data_time: 0.0162 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 09:21:32] d2.utils.events INFO: eta: 7:24:00 iter: 31539 total_loss: 1.445 loss_cls: 0.01069 loss_box_reg: 0.02553 loss_rpn_cls: 0.003017 loss_rpn_loc: 0.001979 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.01185 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003044 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 0.8989 last_time: 1.6157 data_time: 0.0192 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 09:22:00] d2.utils.events INFO: eta: 7:23:27 iter: 31559 total_loss: 1.446 loss_cls: 0.009442 loss_box_reg: 0.02662 loss_rpn_cls: 0.003774 loss_rpn_loc: 0.001865 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.01101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002153 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.8992 last_time: 1.1496 data_time: 0.0208 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 09:22:29] d2.utils.events INFO: eta: 7:22:50 iter: 31579 total_loss: 1.451 loss_cls: 0.01257 loss_box_reg: 0.02944 loss_rpn_cls: 0.004397 loss_rpn_loc: 0.001652 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.01158 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003797 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 0.8996 last_time: 1.6484 data_time: 0.0266 last_data_time: 0.0259 lr: 0.01 max_mem: 20425M +[03/21 09:22:57] d2.utils.events INFO: eta: 7:21:52 iter: 31599 total_loss: 1.46 loss_cls: 0.01091 loss_box_reg: 0.02721 loss_rpn_cls: 0.00481 loss_rpn_loc: 0.002287 loss_D_img_s: 0.7317 loss_cls_pseudo: 0.01094 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004084 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6594 time: 0.8999 last_time: 1.2926 data_time: 0.0165 last_data_time: 0.0124 lr: 0.01 max_mem: 20425M +[03/21 09:23:26] d2.utils.events INFO: eta: 7:21:21 iter: 31619 total_loss: 1.449 loss_cls: 0.009985 loss_box_reg: 0.02928 loss_rpn_cls: 0.002355 loss_rpn_loc: 0.001915 loss_D_img_s: 0.686 loss_cls_pseudo: 0.01044 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002166 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6885 time: 0.9002 last_time: 1.4934 data_time: 0.0180 last_data_time: 0.0158 lr: 0.01 max_mem: 20425M +[03/21 09:23:55] d2.utils.events INFO: eta: 7:20:53 iter: 31639 total_loss: 1.457 loss_cls: 0.01433 loss_box_reg: 0.02282 loss_rpn_cls: 0.003977 loss_rpn_loc: 0.001662 loss_D_img_s: 0.7031 loss_cls_pseudo: 0.01153 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003775 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6804 time: 0.9006 last_time: 1.8761 data_time: 0.0170 last_data_time: 0.0142 lr: 0.01 max_mem: 20425M +[03/21 09:24:24] d2.utils.events INFO: eta: 7:20:22 iter: 31659 total_loss: 1.452 loss_cls: 0.00999 loss_box_reg: 0.02429 loss_rpn_cls: 0.002581 loss_rpn_loc: 0.001545 loss_D_img_s: 0.6895 loss_cls_pseudo: 0.01087 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003029 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6997 time: 0.9009 last_time: 1.9683 data_time: 0.0171 last_data_time: 0.0149 lr: 0.01 max_mem: 20425M +[03/21 09:24:53] d2.utils.events INFO: eta: 7:19:55 iter: 31679 total_loss: 1.451 loss_cls: 0.01344 loss_box_reg: 0.03186 loss_rpn_cls: 0.003902 loss_rpn_loc: 0.001749 loss_D_img_s: 0.6961 loss_cls_pseudo: 0.00741 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001435 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6837 time: 0.9013 last_time: 1.5056 data_time: 0.0208 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 09:25:22] d2.utils.events INFO: eta: 7:19:11 iter: 31699 total_loss: 1.454 loss_cls: 0.01116 loss_box_reg: 0.03219 loss_rpn_cls: 0.00204 loss_rpn_loc: 0.002146 loss_D_img_s: 0.6831 loss_cls_pseudo: 0.009939 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001697 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7021 time: 0.9016 last_time: 1.4667 data_time: 0.0162 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 09:25:51] d2.utils.events INFO: eta: 7:18:57 iter: 31719 total_loss: 1.443 loss_cls: 0.009533 loss_box_reg: 0.02257 loss_rpn_cls: 0.001827 loss_rpn_loc: 0.001646 loss_D_img_s: 0.7074 loss_cls_pseudo: 0.01566 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00312 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6718 time: 0.9020 last_time: 1.3701 data_time: 0.0192 last_data_time: 0.0173 lr: 0.01 max_mem: 20425M +[03/21 09:26:20] d2.utils.events INFO: eta: 7:18:32 iter: 31739 total_loss: 1.449 loss_cls: 0.01053 loss_box_reg: 0.03116 loss_rpn_cls: 0.003878 loss_rpn_loc: 0.00153 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.009751 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002782 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 0.9023 last_time: 1.4676 data_time: 0.0205 last_data_time: 0.0275 lr: 0.01 max_mem: 20425M +[03/21 09:26:48] d2.utils.events INFO: eta: 7:17:52 iter: 31759 total_loss: 1.441 loss_cls: 0.01224 loss_box_reg: 0.02391 loss_rpn_cls: 0.004053 loss_rpn_loc: 0.001796 loss_D_img_s: 0.6535 loss_cls_pseudo: 0.007647 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001951 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7287 time: 0.9026 last_time: 1.4101 data_time: 0.0161 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 09:27:17] d2.utils.events INFO: eta: 7:16:50 iter: 31779 total_loss: 1.445 loss_cls: 0.008265 loss_box_reg: 0.02487 loss_rpn_cls: 0.00211 loss_rpn_loc: 0.001336 loss_D_img_s: 0.7014 loss_cls_pseudo: 0.009663 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002885 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6891 time: 0.9030 last_time: 1.4995 data_time: 0.0182 last_data_time: 0.0225 lr: 0.01 max_mem: 20425M +[03/21 09:27:46] d2.utils.events INFO: eta: 7:16:27 iter: 31799 total_loss: 1.455 loss_cls: 0.01248 loss_box_reg: 0.02869 loss_rpn_cls: 0.003512 loss_rpn_loc: 0.001775 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.01155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6824 time: 0.9033 last_time: 1.4873 data_time: 0.0215 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 09:28:14] d2.utils.events INFO: eta: 7:16:00 iter: 31819 total_loss: 1.442 loss_cls: 0.0122 loss_box_reg: 0.0256 loss_rpn_cls: 0.0028 loss_rpn_loc: 0.001979 loss_D_img_s: 0.6756 loss_cls_pseudo: 0.0142 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002949 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7035 time: 0.9036 last_time: 1.4385 data_time: 0.0195 last_data_time: 0.0537 lr: 0.01 max_mem: 20425M +[03/21 09:28:43] d2.utils.events INFO: eta: 7:15:27 iter: 31839 total_loss: 1.441 loss_cls: 0.01078 loss_box_reg: 0.02647 loss_rpn_cls: 0.003865 loss_rpn_loc: 0.001525 loss_D_img_s: 0.7051 loss_cls_pseudo: 0.007281 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001773 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6718 time: 0.9040 last_time: 1.3896 data_time: 0.0210 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 09:29:12] d2.utils.events INFO: eta: 7:14:58 iter: 31859 total_loss: 1.456 loss_cls: 0.01155 loss_box_reg: 0.02669 loss_rpn_cls: 0.003356 loss_rpn_loc: 0.00217 loss_D_img_s: 0.699 loss_cls_pseudo: 0.009537 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00239 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6768 time: 0.9043 last_time: 1.2860 data_time: 0.0183 last_data_time: 0.0358 lr: 0.01 max_mem: 20425M +[03/21 09:29:40] d2.utils.events INFO: eta: 7:14:34 iter: 31879 total_loss: 1.435 loss_cls: 0.01046 loss_box_reg: 0.02243 loss_rpn_cls: 0.001787 loss_rpn_loc: 0.00158 loss_D_img_s: 0.6843 loss_cls_pseudo: 0.007131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001717 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6985 time: 0.9046 last_time: 1.3550 data_time: 0.0210 last_data_time: 0.0182 lr: 0.01 max_mem: 20425M +[03/21 09:30:09] d2.utils.events INFO: eta: 7:14:23 iter: 31899 total_loss: 1.468 loss_cls: 0.01796 loss_box_reg: 0.02922 loss_rpn_cls: 0.005089 loss_rpn_loc: 0.002111 loss_D_img_s: 0.7069 loss_cls_pseudo: 0.01254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002541 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6775 time: 0.9050 last_time: 1.3957 data_time: 0.0198 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 09:30:38] d2.utils.events INFO: eta: 7:13:55 iter: 31919 total_loss: 1.459 loss_cls: 0.01102 loss_box_reg: 0.02763 loss_rpn_cls: 0.002578 loss_rpn_loc: 0.001694 loss_D_img_s: 0.7084 loss_cls_pseudo: 0.0098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005546 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6796 time: 0.9053 last_time: 1.4050 data_time: 0.0188 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 09:31:06] d2.utils.events INFO: eta: 7:13:02 iter: 31939 total_loss: 1.442 loss_cls: 0.01434 loss_box_reg: 0.02992 loss_rpn_cls: 0.005404 loss_rpn_loc: 0.002027 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.005789 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003864 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6688 time: 0.9056 last_time: 1.4220 data_time: 0.0178 last_data_time: 0.0335 lr: 0.01 max_mem: 20425M +[03/21 09:31:36] d2.utils.events INFO: eta: 7:12:33 iter: 31959 total_loss: 1.448 loss_cls: 0.01115 loss_box_reg: 0.02207 loss_rpn_cls: 0.003773 loss_rpn_loc: 0.001888 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.005509 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003211 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7116 time: 0.9060 last_time: 1.4913 data_time: 0.0146 last_data_time: 0.0091 lr: 0.01 max_mem: 20425M +[03/21 09:32:04] d2.utils.events INFO: eta: 7:11:52 iter: 31979 total_loss: 1.459 loss_cls: 0.008801 loss_box_reg: 0.02718 loss_rpn_cls: 0.00231 loss_rpn_loc: 0.001592 loss_D_img_s: 0.6864 loss_cls_pseudo: 0.0107 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002451 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 0.9063 last_time: 1.3911 data_time: 0.0166 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 09:32:32] d2.data.common INFO: Serializing the dataset using: +[03/21 09:32:32] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 09:32:32] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 09:32:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 09:32:32] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 09:32:35] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 09:34:43] d2.evaluation.evaluator INFO: Total inference time: 0:02:09.023427 (0.130591 s / iter per device, on 1 devices) +[03/21 09:34:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074281 s / iter per device, on 1 devices) +[03/21 09:34:43] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 09:34:43] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 09:34:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 09:34:43] d2.evaluation.testing INFO: copypaste: 0.4074,2.6620,0.0573 +[03/21 09:34:43] d2.data.common INFO: Serializing the dataset using: +[03/21 09:34:43] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 09:34:43] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 09:34:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 09:34:43] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 09:34:47] d2.evaluation.evaluator INFO: Inference done 21/993. 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ETA=0:00:02 +[03/21 09:36:52] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.093164 (0.128637 s / iter per device, on 1 devices) +[03/21 09:36:52] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073430 s / iter per device, on 1 devices) +[03/21 09:36:52] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 09:36:52] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 09:36:52] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 09:36:52] d2.evaluation.testing INFO: copypaste: 0.6527,3.2534,0.0917 +[03/21 09:36:52] d2.utils.events INFO: eta: 7:11:21 iter: 31999 total_loss: 1.452 loss_cls: 0.01153 loss_box_reg: 0.02472 loss_rpn_cls: 0.004393 loss_rpn_loc: 0.002091 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.009657 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001825 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 0.9066 last_time: 1.3661 data_time: 0.0159 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 09:37:18] d2.utils.events INFO: eta: 7:10:28 iter: 32019 total_loss: 1.466 loss_cls: 0.01479 loss_box_reg: 0.02305 loss_rpn_cls: 0.004837 loss_rpn_loc: 0.001584 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.01382 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002663 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.9069 last_time: 1.4502 data_time: 0.0215 last_data_time: 0.0161 lr: 0.01 max_mem: 20425M +[03/21 09:37:44] d2.utils.events INFO: eta: 7:09:53 iter: 32039 total_loss: 1.441 loss_cls: 0.00968 loss_box_reg: 0.02473 loss_rpn_cls: 0.002978 loss_rpn_loc: 0.001954 loss_D_img_s: 0.6858 loss_cls_pseudo: 0.01125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002507 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7038 time: 0.9071 last_time: 1.2484 data_time: 0.0165 last_data_time: 0.0300 lr: 0.01 max_mem: 20425M +[03/21 09:38:11] d2.utils.events INFO: eta: 7:09:24 iter: 32059 total_loss: 1.458 loss_cls: 0.01293 loss_box_reg: 0.02628 loss_rpn_cls: 0.003941 loss_rpn_loc: 0.00136 loss_D_img_s: 0.6486 loss_cls_pseudo: 0.007634 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7263 time: 0.9074 last_time: 1.3688 data_time: 0.0190 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 09:38:38] d2.utils.events INFO: eta: 7:08:45 iter: 32079 total_loss: 1.443 loss_cls: 0.01091 loss_box_reg: 0.02388 loss_rpn_cls: 0.002494 loss_rpn_loc: 0.001431 loss_D_img_s: 0.6998 loss_cls_pseudo: 0.01029 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002137 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6832 time: 0.9077 last_time: 1.4588 data_time: 0.0189 last_data_time: 0.0217 lr: 0.01 max_mem: 20425M +[03/21 09:39:06] d2.utils.events INFO: eta: 7:08:09 iter: 32099 total_loss: 1.433 loss_cls: 0.009143 loss_box_reg: 0.02555 loss_rpn_cls: 0.001317 loss_rpn_loc: 0.001397 loss_D_img_s: 0.6568 loss_cls_pseudo: 0.006512 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7079 time: 0.9079 last_time: 1.3616 data_time: 0.0146 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 09:39:33] d2.utils.events INFO: eta: 7:07:11 iter: 32119 total_loss: 1.444 loss_cls: 0.01187 loss_box_reg: 0.02604 loss_rpn_cls: 0.004502 loss_rpn_loc: 0.001526 loss_D_img_s: 0.6977 loss_cls_pseudo: 0.008636 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001316 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6759 time: 0.9082 last_time: 1.4193 data_time: 0.0165 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 09:40:01] d2.utils.events INFO: eta: 7:06:38 iter: 32139 total_loss: 1.44 loss_cls: 0.008694 loss_box_reg: 0.02602 loss_rpn_cls: 0.001909 loss_rpn_loc: 0.00178 loss_D_img_s: 0.6834 loss_cls_pseudo: 0.009212 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001536 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 0.9085 last_time: 1.4064 data_time: 0.0196 last_data_time: 0.0200 lr: 0.01 max_mem: 20425M +[03/21 09:40:28] d2.utils.events INFO: eta: 7:06:08 iter: 32159 total_loss: 1.448 loss_cls: 0.01498 loss_box_reg: 0.02738 loss_rpn_cls: 0.004165 loss_rpn_loc: 0.001491 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.009626 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001803 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 0.9088 last_time: 1.2788 data_time: 0.0157 last_data_time: 0.0268 lr: 0.01 max_mem: 20425M +[03/21 09:40:56] d2.utils.events INFO: eta: 7:05:36 iter: 32179 total_loss: 1.452 loss_cls: 0.01201 loss_box_reg: 0.02486 loss_rpn_cls: 0.00342 loss_rpn_loc: 0.002445 loss_D_img_s: 0.7014 loss_cls_pseudo: 0.007329 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001382 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6892 time: 0.9091 last_time: 1.2652 data_time: 0.0171 last_data_time: 0.0249 lr: 0.01 max_mem: 20425M +[03/21 09:41:24] d2.utils.events INFO: eta: 7:05:08 iter: 32199 total_loss: 1.463 loss_cls: 0.01305 loss_box_reg: 0.03266 loss_rpn_cls: 0.003896 loss_rpn_loc: 0.001467 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.008594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.9094 last_time: 1.2324 data_time: 0.0187 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 09:41:52] d2.utils.events INFO: eta: 7:04:13 iter: 32219 total_loss: 1.446 loss_cls: 0.01219 loss_box_reg: 0.02902 loss_rpn_cls: 0.002814 loss_rpn_loc: 0.001626 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.007986 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002003 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 0.9097 last_time: 1.4109 data_time: 0.0133 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 09:42:20] d2.utils.events INFO: eta: 7:03:37 iter: 32239 total_loss: 1.45 loss_cls: 0.01211 loss_box_reg: 0.02793 loss_rpn_cls: 0.003285 loss_rpn_loc: 0.002246 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.01193 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003933 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6876 time: 0.9100 last_time: 1.4481 data_time: 0.0172 last_data_time: 0.0093 lr: 0.01 max_mem: 20425M +[03/21 09:42:47] d2.utils.events INFO: eta: 7:02:39 iter: 32259 total_loss: 1.448 loss_cls: 0.01118 loss_box_reg: 0.02597 loss_rpn_cls: 0.00345 loss_rpn_loc: 0.001708 loss_D_img_s: 0.7062 loss_cls_pseudo: 0.0069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001606 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6741 time: 0.9103 last_time: 1.3922 data_time: 0.0176 last_data_time: 0.0235 lr: 0.01 max_mem: 20425M +[03/21 09:43:15] d2.utils.events INFO: eta: 7:01:45 iter: 32279 total_loss: 1.433 loss_cls: 0.01343 loss_box_reg: 0.026 loss_rpn_cls: 0.004457 loss_rpn_loc: 0.00189 loss_D_img_s: 0.6906 loss_cls_pseudo: 0.008262 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001633 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6866 time: 0.9106 last_time: 1.4363 data_time: 0.0140 last_data_time: 0.0152 lr: 0.01 max_mem: 20425M +[03/21 09:43:44] d2.utils.events INFO: eta: 7:00:42 iter: 32299 total_loss: 1.453 loss_cls: 0.01121 loss_box_reg: 0.02366 loss_rpn_cls: 0.00561 loss_rpn_loc: 0.002153 loss_D_img_s: 0.6906 loss_cls_pseudo: 0.008542 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6984 time: 0.9109 last_time: 1.4343 data_time: 0.0185 last_data_time: 0.0153 lr: 0.01 max_mem: 20425M +[03/21 09:44:12] d2.utils.events INFO: eta: 7:00:04 iter: 32319 total_loss: 1.446 loss_cls: 0.009565 loss_box_reg: 0.02723 loss_rpn_cls: 0.002958 loss_rpn_loc: 0.002168 loss_D_img_s: 0.7051 loss_cls_pseudo: 0.007457 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001756 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6767 time: 0.9112 last_time: 1.5560 data_time: 0.0165 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 09:44:40] d2.utils.events INFO: eta: 6:59:15 iter: 32339 total_loss: 1.467 loss_cls: 0.0117 loss_box_reg: 0.02636 loss_rpn_cls: 0.00364 loss_rpn_loc: 0.001464 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.01321 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001983 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7067 time: 0.9115 last_time: 1.4163 data_time: 0.0175 last_data_time: 0.0199 lr: 0.01 max_mem: 20425M +[03/21 09:45:08] d2.utils.events INFO: eta: 6:58:04 iter: 32359 total_loss: 1.456 loss_cls: 0.01432 loss_box_reg: 0.03011 loss_rpn_cls: 0.003934 loss_rpn_loc: 0.001869 loss_D_img_s: 0.686 loss_cls_pseudo: 0.008989 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002671 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 0.9119 last_time: 1.4220 data_time: 0.0184 last_data_time: 0.0195 lr: 0.01 max_mem: 20425M +[03/21 09:45:36] d2.utils.events INFO: eta: 6:57:30 iter: 32379 total_loss: 1.451 loss_cls: 0.01046 loss_box_reg: 0.02717 loss_rpn_cls: 0.002374 loss_rpn_loc: 0.001641 loss_D_img_s: 0.7192 loss_cls_pseudo: 0.01582 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003932 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6542 time: 0.9121 last_time: 1.4636 data_time: 0.0208 last_data_time: 0.0413 lr: 0.01 max_mem: 20425M +[03/21 09:46:03] d2.utils.events INFO: eta: 6:56:06 iter: 32399 total_loss: 1.435 loss_cls: 0.01059 loss_box_reg: 0.02377 loss_rpn_cls: 0.002212 loss_rpn_loc: 0.002494 loss_D_img_s: 0.6679 loss_cls_pseudo: 0.006535 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.000712 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7154 time: 0.9124 last_time: 1.3620 data_time: 0.0243 last_data_time: 0.0151 lr: 0.01 max_mem: 20425M +[03/21 09:46:32] d2.utils.events INFO: eta: 6:55:26 iter: 32419 total_loss: 1.448 loss_cls: 0.01312 loss_box_reg: 0.02142 loss_rpn_cls: 0.005734 loss_rpn_loc: 0.00167 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.009228 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00252 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.9128 last_time: 1.6106 data_time: 0.0243 last_data_time: 0.0431 lr: 0.01 max_mem: 20425M +[03/21 09:47:00] d2.utils.events INFO: eta: 6:54:31 iter: 32439 total_loss: 1.459 loss_cls: 0.01112 loss_box_reg: 0.02903 loss_rpn_cls: 0.002404 loss_rpn_loc: 0.001656 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.01445 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007038 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 0.9130 last_time: 1.3010 data_time: 0.0157 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 09:47:27] d2.utils.events INFO: eta: 6:53:39 iter: 32459 total_loss: 1.433 loss_cls: 0.01093 loss_box_reg: 0.02609 loss_rpn_cls: 0.003525 loss_rpn_loc: 0.001623 loss_D_img_s: 0.6889 loss_cls_pseudo: 0.007288 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001646 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6843 time: 0.9133 last_time: 1.3989 data_time: 0.0188 last_data_time: 0.0093 lr: 0.01 max_mem: 20425M +[03/21 09:47:56] d2.utils.events INFO: eta: 6:52:14 iter: 32479 total_loss: 1.459 loss_cls: 0.01076 loss_box_reg: 0.02082 loss_rpn_cls: 0.004437 loss_rpn_loc: 0.001477 loss_D_img_s: 0.7 loss_cls_pseudo: 0.01075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007399 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6806 time: 0.9136 last_time: 1.2538 data_time: 0.0188 last_data_time: 0.0156 lr: 0.01 max_mem: 20425M +[03/21 09:48:24] d2.utils.events INFO: eta: 6:51:30 iter: 32499 total_loss: 1.46 loss_cls: 0.0127 loss_box_reg: 0.02862 loss_rpn_cls: 0.004042 loss_rpn_loc: 0.001743 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.007098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002177 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 0.9139 last_time: 1.2549 data_time: 0.0156 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 09:48:53] d2.utils.events INFO: eta: 6:51:18 iter: 32519 total_loss: 1.445 loss_cls: 0.01176 loss_box_reg: 0.02991 loss_rpn_cls: 0.004247 loss_rpn_loc: 0.001822 loss_D_img_s: 0.6892 loss_cls_pseudo: 0.01245 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.9143 last_time: 1.4178 data_time: 0.0207 last_data_time: 0.0265 lr: 0.01 max_mem: 20425M +[03/21 09:49:21] d2.utils.events INFO: eta: 6:50:35 iter: 32539 total_loss: 1.448 loss_cls: 0.008624 loss_box_reg: 0.01983 loss_rpn_cls: 0.003764 loss_rpn_loc: 0.001453 loss_D_img_s: 0.6776 loss_cls_pseudo: 0.01322 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002209 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7008 time: 0.9146 last_time: 1.3842 data_time: 0.0183 last_data_time: 0.0266 lr: 0.01 max_mem: 20425M +[03/21 09:49:50] d2.utils.events INFO: eta: 6:50:07 iter: 32559 total_loss: 1.445 loss_cls: 0.01001 loss_box_reg: 0.0266 loss_rpn_cls: 0.002968 loss_rpn_loc: 0.001506 loss_D_img_s: 0.7076 loss_cls_pseudo: 0.009336 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002431 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6734 time: 0.9149 last_time: 1.4671 data_time: 0.0142 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 09:50:18] d2.utils.events INFO: eta: 6:50:02 iter: 32579 total_loss: 1.44 loss_cls: 0.01106 loss_box_reg: 0.02974 loss_rpn_cls: 0.00246 loss_rpn_loc: 0.002076 loss_D_img_s: 0.6802 loss_cls_pseudo: 0.01219 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002381 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.9152 last_time: 1.5523 data_time: 0.0151 last_data_time: 0.0209 lr: 0.01 max_mem: 20425M +[03/21 09:50:47] d2.utils.events INFO: eta: 6:49:51 iter: 32599 total_loss: 1.452 loss_cls: 0.008858 loss_box_reg: 0.0302 loss_rpn_cls: 0.003863 loss_rpn_loc: 0.001771 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.01217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001972 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 0.9155 last_time: 1.4753 data_time: 0.0212 last_data_time: 0.0152 lr: 0.01 max_mem: 20425M +[03/21 09:51:14] d2.utils.events INFO: eta: 6:49:12 iter: 32619 total_loss: 1.47 loss_cls: 0.01224 loss_box_reg: 0.03139 loss_rpn_cls: 0.00356 loss_rpn_loc: 0.00195 loss_D_img_s: 0.7087 loss_cls_pseudo: 0.01209 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003103 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 0.9158 last_time: 1.2180 data_time: 0.0164 last_data_time: 0.0200 lr: 0.01 max_mem: 20425M +[03/21 09:51:42] d2.utils.events INFO: eta: 6:48:38 iter: 32639 total_loss: 1.452 loss_cls: 0.01026 loss_box_reg: 0.02761 loss_rpn_cls: 0.003058 loss_rpn_loc: 0.001654 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.008511 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 0.9161 last_time: 1.4327 data_time: 0.0216 last_data_time: 0.0271 lr: 0.01 max_mem: 20425M +[03/21 09:52:10] d2.utils.events INFO: eta: 6:47:46 iter: 32659 total_loss: 1.434 loss_cls: 0.01025 loss_box_reg: 0.02257 loss_rpn_cls: 0.003607 loss_rpn_loc: 0.001283 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.006367 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001391 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6852 time: 0.9164 last_time: 1.5184 data_time: 0.0283 last_data_time: 0.0553 lr: 0.01 max_mem: 20425M +[03/21 09:52:38] d2.utils.events INFO: eta: 6:46:53 iter: 32679 total_loss: 1.459 loss_cls: 0.01175 loss_box_reg: 0.03115 loss_rpn_cls: 0.00359 loss_rpn_loc: 0.001441 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.01273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00215 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6768 time: 0.9167 last_time: 1.4677 data_time: 0.0190 last_data_time: 0.0096 lr: 0.01 max_mem: 20425M +[03/21 09:53:06] d2.utils.events INFO: eta: 6:46:07 iter: 32699 total_loss: 1.455 loss_cls: 0.01566 loss_box_reg: 0.03439 loss_rpn_cls: 0.004768 loss_rpn_loc: 0.00195 loss_D_img_s: 0.6872 loss_cls_pseudo: 0.01045 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004335 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 0.9170 last_time: 1.3764 data_time: 0.0151 last_data_time: 0.0159 lr: 0.01 max_mem: 20425M +[03/21 09:53:34] d2.utils.events INFO: eta: 6:45:18 iter: 32719 total_loss: 1.435 loss_cls: 0.005771 loss_box_reg: 0.02144 loss_rpn_cls: 0.001216 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6984 loss_cls_pseudo: 0.005182 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001023 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 0.9173 last_time: 1.3702 data_time: 0.0204 last_data_time: 0.0306 lr: 0.01 max_mem: 20425M +[03/21 09:54:02] d2.utils.events INFO: eta: 6:44:35 iter: 32739 total_loss: 1.451 loss_cls: 0.01038 loss_box_reg: 0.02815 loss_rpn_cls: 0.004259 loss_rpn_loc: 0.001618 loss_D_img_s: 0.712 loss_cls_pseudo: 0.01174 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003337 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6713 time: 0.9176 last_time: 1.3435 data_time: 0.0127 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 09:54:30] d2.utils.events INFO: eta: 6:44:08 iter: 32759 total_loss: 1.439 loss_cls: 0.01034 loss_box_reg: 0.02512 loss_rpn_cls: 0.0017 loss_rpn_loc: 0.001428 loss_D_img_s: 0.6791 loss_cls_pseudo: 0.007907 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001482 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6985 time: 0.9179 last_time: 1.3004 data_time: 0.0140 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 09:54:57] d2.utils.events INFO: eta: 6:43:13 iter: 32779 total_loss: 1.442 loss_cls: 0.009263 loss_box_reg: 0.02759 loss_rpn_cls: 0.00427 loss_rpn_loc: 0.00195 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.006488 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001597 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.9181 last_time: 1.2758 data_time: 0.0165 last_data_time: 0.0164 lr: 0.01 max_mem: 20425M +[03/21 09:55:25] d2.utils.events INFO: eta: 6:42:14 iter: 32799 total_loss: 1.45 loss_cls: 0.0137 loss_box_reg: 0.0297 loss_rpn_cls: 0.005558 loss_rpn_loc: 0.002292 loss_D_img_s: 0.6762 loss_cls_pseudo: 0.007092 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003138 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7058 time: 0.9184 last_time: 1.1316 data_time: 0.0165 last_data_time: 0.0602 lr: 0.01 max_mem: 20425M +[03/21 09:55:53] d2.utils.events INFO: eta: 6:41:22 iter: 32819 total_loss: 1.439 loss_cls: 0.008317 loss_box_reg: 0.02453 loss_rpn_cls: 0.00322 loss_rpn_loc: 0.00156 loss_D_img_s: 0.7034 loss_cls_pseudo: 0.007839 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002086 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6753 time: 0.9187 last_time: 1.3713 data_time: 0.0169 last_data_time: 0.0154 lr: 0.01 max_mem: 20425M +[03/21 09:56:20] d2.utils.events INFO: eta: 6:40:54 iter: 32839 total_loss: 1.446 loss_cls: 0.01165 loss_box_reg: 0.02576 loss_rpn_cls: 0.003639 loss_rpn_loc: 0.001661 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.008851 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003112 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.9190 last_time: 1.3606 data_time: 0.0137 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 09:56:48] d2.utils.events INFO: eta: 6:40:17 iter: 32859 total_loss: 1.447 loss_cls: 0.008759 loss_box_reg: 0.02489 loss_rpn_cls: 0.002891 loss_rpn_loc: 0.002221 loss_D_img_s: 0.6741 loss_cls_pseudo: 0.01452 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002878 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7134 time: 0.9193 last_time: 1.3504 data_time: 0.0138 last_data_time: 0.0233 lr: 0.01 max_mem: 20425M +[03/21 09:57:16] d2.utils.events INFO: eta: 6:39:40 iter: 32879 total_loss: 1.449 loss_cls: 0.01102 loss_box_reg: 0.02485 loss_rpn_cls: 0.002558 loss_rpn_loc: 0.00136 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.009857 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002004 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6876 time: 0.9196 last_time: 1.4654 data_time: 0.0191 last_data_time: 0.0092 lr: 0.01 max_mem: 20425M +[03/21 09:57:44] d2.utils.events INFO: eta: 6:39:02 iter: 32899 total_loss: 1.461 loss_cls: 0.01044 loss_box_reg: 0.02112 loss_rpn_cls: 0.002825 loss_rpn_loc: 0.001227 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.009943 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002215 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 0.9198 last_time: 1.4471 data_time: 0.0167 last_data_time: 0.0195 lr: 0.01 max_mem: 20425M +[03/21 09:58:11] d2.utils.events INFO: eta: 6:38:04 iter: 32919 total_loss: 1.44 loss_cls: 0.0111 loss_box_reg: 0.02614 loss_rpn_cls: 0.003523 loss_rpn_loc: 0.001599 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.0113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004212 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 0.9201 last_time: 1.2707 data_time: 0.0186 last_data_time: 0.0313 lr: 0.01 max_mem: 20425M +[03/21 09:58:40] d2.utils.events INFO: eta: 6:37:36 iter: 32939 total_loss: 1.434 loss_cls: 0.00886 loss_box_reg: 0.02836 loss_rpn_cls: 0.002564 loss_rpn_loc: 0.001433 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.008162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00386 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6736 time: 0.9204 last_time: 1.4775 data_time: 0.0137 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 09:59:07] d2.utils.events INFO: eta: 6:36:44 iter: 32959 total_loss: 1.434 loss_cls: 0.00867 loss_box_reg: 0.02647 loss_rpn_cls: 0.004974 loss_rpn_loc: 0.002354 loss_D_img_s: 0.6874 loss_cls_pseudo: 0.01004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001428 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6827 time: 0.9207 last_time: 1.4573 data_time: 0.0216 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 09:59:36] d2.utils.events INFO: eta: 6:36:16 iter: 32979 total_loss: 1.434 loss_cls: 0.009651 loss_box_reg: 0.02625 loss_rpn_cls: 0.002066 loss_rpn_loc: 0.001467 loss_D_img_s: 0.7194 loss_cls_pseudo: 0.00967 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002996 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6674 time: 0.9210 last_time: 1.4477 data_time: 0.0162 last_data_time: 0.0175 lr: 0.01 max_mem: 20425M +[03/21 10:00:03] d2.data.common INFO: Serializing the dataset using: +[03/21 10:00:03] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:00:03] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:00:03] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:00:03] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:00:06] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:13 +[03/21 10:01:58] d2.evaluation.evaluator INFO: Inference done 926/993. Dataloading: 0.0526 s/iter. Inference: 0.0701 s/iter. Eval: 0.0003 s/iter. Total: 0.1232 s/iter. ETA=0:00:08 +[03/21 10:02:03] d2.evaluation.evaluator INFO: Inference done 965/993. Dataloading: 0.0528 s/iter. Inference: 0.0703 s/iter. Eval: 0.0003 s/iter. Total: 0.1235 s/iter. ETA=0:00:03 +[03/21 10:02:07] d2.evaluation.evaluator INFO: Total inference time: 0:02:01.794413 (0.123274 s / iter per device, on 1 devices) +[03/21 10:02:07] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:09 (0.070301 s / iter per device, on 1 devices) +[03/21 10:02:07] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:02:07] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:02:07] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:02:07] d2.evaluation.testing INFO: copypaste: 0.4648,2.6738,0.0133 +[03/21 10:02:07] d2.data.common INFO: Serializing the dataset using: +[03/21 10:02:07] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:02:07] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:02:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:02:07] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:02:09] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 10:04:15] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.339769 (0.127874 s / iter per device, on 1 devices) +[03/21 10:04:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072267 s / iter per device, on 1 devices) +[03/21 10:04:15] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:04:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:04:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:04:15] d2.evaluation.testing INFO: copypaste: 0.5164,3.3544,0.0798 +[03/21 10:04:15] d2.utils.events INFO: eta: 6:35:30 iter: 32999 total_loss: 1.457 loss_cls: 0.009562 loss_box_reg: 0.02443 loss_rpn_cls: 0.00226 loss_rpn_loc: 0.001633 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.006975 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7013 time: 0.9213 last_time: 1.3758 data_time: 0.0140 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 10:04:41] d2.utils.events INFO: eta: 6:35:11 iter: 33019 total_loss: 1.438 loss_cls: 0.01138 loss_box_reg: 0.03129 loss_rpn_cls: 0.003392 loss_rpn_loc: 0.001476 loss_D_img_s: 0.7098 loss_cls_pseudo: 0.009931 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002367 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 0.9215 last_time: 1.2949 data_time: 0.0121 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 10:05:08] d2.utils.events INFO: eta: 6:35:01 iter: 33039 total_loss: 1.458 loss_cls: 0.00923 loss_box_reg: 0.02793 loss_rpn_cls: 0.002562 loss_rpn_loc: 0.001453 loss_D_img_s: 0.6759 loss_cls_pseudo: 0.01061 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002883 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7105 time: 0.9218 last_time: 1.5102 data_time: 0.0186 last_data_time: 0.0157 lr: 0.01 max_mem: 20425M +[03/21 10:05:35] d2.utils.events INFO: eta: 6:34:24 iter: 33059 total_loss: 1.451 loss_cls: 0.01184 loss_box_reg: 0.03668 loss_rpn_cls: 0.004711 loss_rpn_loc: 0.001818 loss_D_img_s: 0.7105 loss_cls_pseudo: 0.008852 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00237 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6647 time: 0.9220 last_time: 1.2975 data_time: 0.0177 last_data_time: 0.0143 lr: 0.01 max_mem: 20425M +[03/21 10:06:02] d2.utils.events INFO: eta: 6:33:36 iter: 33079 total_loss: 1.441 loss_cls: 0.01136 loss_box_reg: 0.02054 loss_rpn_cls: 0.004598 loss_rpn_loc: 0.001757 loss_D_img_s: 0.6884 loss_cls_pseudo: 0.008077 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001651 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 0.9223 last_time: 1.3914 data_time: 0.0169 last_data_time: 0.0173 lr: 0.01 max_mem: 20425M +[03/21 10:06:29] d2.utils.events INFO: eta: 6:33:26 iter: 33099 total_loss: 1.473 loss_cls: 0.01537 loss_box_reg: 0.02855 loss_rpn_cls: 0.005705 loss_rpn_loc: 0.001525 loss_D_img_s: 0.7025 loss_cls_pseudo: 0.0125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001953 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 0.9226 last_time: 1.4324 data_time: 0.0185 last_data_time: 0.0436 lr: 0.01 max_mem: 20425M +[03/21 10:06:55] d2.utils.events INFO: eta: 6:32:33 iter: 33119 total_loss: 1.438 loss_cls: 0.008016 loss_box_reg: 0.02365 loss_rpn_cls: 0.003251 loss_rpn_loc: 0.001217 loss_D_img_s: 0.6777 loss_cls_pseudo: 0.008243 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001721 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.698 time: 0.9228 last_time: 1.3947 data_time: 0.0204 last_data_time: 0.0330 lr: 0.01 max_mem: 20425M +[03/21 10:07:24] d2.utils.events INFO: eta: 6:31:56 iter: 33139 total_loss: 1.451 loss_cls: 0.01153 loss_box_reg: 0.02524 loss_rpn_cls: 0.004266 loss_rpn_loc: 0.001365 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.009094 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003619 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6835 time: 0.9231 last_time: 1.4810 data_time: 0.0173 last_data_time: 0.0187 lr: 0.01 max_mem: 20425M +[03/21 10:07:52] d2.utils.events INFO: eta: 6:31:38 iter: 33159 total_loss: 1.466 loss_cls: 0.01347 loss_box_reg: 0.03031 loss_rpn_cls: 0.006569 loss_rpn_loc: 0.002108 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.01217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003866 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.686 time: 0.9234 last_time: 1.3776 data_time: 0.0161 last_data_time: 0.0242 lr: 0.01 max_mem: 20425M +[03/21 10:08:19] d2.utils.events INFO: eta: 6:31:13 iter: 33179 total_loss: 1.452 loss_cls: 0.01106 loss_box_reg: 0.0281 loss_rpn_cls: 0.002738 loss_rpn_loc: 0.001671 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.01023 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003078 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6797 time: 0.9237 last_time: 1.4950 data_time: 0.0191 last_data_time: 0.0174 lr: 0.01 max_mem: 20425M +[03/21 10:08:47] d2.utils.events INFO: eta: 6:30:37 iter: 33199 total_loss: 1.437 loss_cls: 0.01041 loss_box_reg: 0.02645 loss_rpn_cls: 0.004682 loss_rpn_loc: 0.002145 loss_D_img_s: 0.7059 loss_cls_pseudo: 0.01302 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002843 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6691 time: 0.9239 last_time: 1.2994 data_time: 0.0172 last_data_time: 0.0190 lr: 0.01 max_mem: 20425M +[03/21 10:09:14] d2.utils.events INFO: eta: 6:29:56 iter: 33219 total_loss: 1.447 loss_cls: 0.01092 loss_box_reg: 0.02857 loss_rpn_cls: 0.001743 loss_rpn_loc: 0.001694 loss_D_img_s: 0.6762 loss_cls_pseudo: 0.00735 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001818 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6965 time: 0.9242 last_time: 1.4540 data_time: 0.0169 last_data_time: 0.0342 lr: 0.01 max_mem: 20425M +[03/21 10:09:41] d2.utils.events INFO: eta: 6:29:29 iter: 33239 total_loss: 1.465 loss_cls: 0.01246 loss_box_reg: 0.02863 loss_rpn_cls: 0.004257 loss_rpn_loc: 0.001786 loss_D_img_s: 0.7102 loss_cls_pseudo: 0.01638 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004527 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 0.9244 last_time: 1.4290 data_time: 0.0151 last_data_time: 0.0152 lr: 0.01 max_mem: 20425M +[03/21 10:10:09] d2.utils.events INFO: eta: 6:29:17 iter: 33259 total_loss: 1.44 loss_cls: 0.01612 loss_box_reg: 0.02678 loss_rpn_cls: 0.004419 loss_rpn_loc: 0.001533 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.007859 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 0.9247 last_time: 1.4528 data_time: 0.0166 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 10:10:35] d2.utils.events INFO: eta: 6:28:34 iter: 33279 total_loss: 1.444 loss_cls: 0.01138 loss_box_reg: 0.0253 loss_rpn_cls: 0.004365 loss_rpn_loc: 0.002136 loss_D_img_s: 0.686 loss_cls_pseudo: 0.01338 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002753 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 0.9250 last_time: 1.3275 data_time: 0.0189 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 10:11:03] d2.utils.events INFO: eta: 6:27:58 iter: 33299 total_loss: 1.454 loss_cls: 0.01269 loss_box_reg: 0.02236 loss_rpn_cls: 0.005324 loss_rpn_loc: 0.002106 loss_D_img_s: 0.6717 loss_cls_pseudo: 0.009869 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003566 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7163 time: 0.9252 last_time: 1.6126 data_time: 0.0176 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 10:11:31] d2.utils.events INFO: eta: 6:27:16 iter: 33319 total_loss: 1.459 loss_cls: 0.008244 loss_box_reg: 0.02548 loss_rpn_cls: 0.002256 loss_rpn_loc: 0.001776 loss_D_img_s: 0.6647 loss_cls_pseudo: 0.007296 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7382 time: 0.9255 last_time: 1.2518 data_time: 0.0176 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 10:11:59] d2.utils.events INFO: eta: 6:26:55 iter: 33339 total_loss: 1.449 loss_cls: 0.01437 loss_box_reg: 0.02636 loss_rpn_cls: 0.003606 loss_rpn_loc: 0.001496 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.01102 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003118 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 0.9258 last_time: 1.3670 data_time: 0.0177 last_data_time: 0.0135 lr: 0.01 max_mem: 20425M +[03/21 10:12:27] d2.utils.events INFO: eta: 6:26:30 iter: 33359 total_loss: 1.454 loss_cls: 0.01292 loss_box_reg: 0.02584 loss_rpn_cls: 0.005366 loss_rpn_loc: 0.00211 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.008587 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001692 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6781 time: 0.9261 last_time: 1.4028 data_time: 0.0177 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 10:12:55] d2.utils.events INFO: eta: 6:26:11 iter: 33379 total_loss: 1.449 loss_cls: 0.01062 loss_box_reg: 0.02841 loss_rpn_cls: 0.004032 loss_rpn_loc: 0.001804 loss_D_img_s: 0.6314 loss_cls_pseudo: 0.008377 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7453 time: 0.9264 last_time: 1.3879 data_time: 0.0176 last_data_time: 0.0269 lr: 0.01 max_mem: 20425M +[03/21 10:13:23] d2.utils.events INFO: eta: 6:25:46 iter: 33399 total_loss: 1.455 loss_cls: 0.01068 loss_box_reg: 0.02601 loss_rpn_cls: 0.003416 loss_rpn_loc: 0.001594 loss_D_img_s: 0.689 loss_cls_pseudo: 0.007137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002874 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6845 time: 0.9266 last_time: 1.2829 data_time: 0.0157 last_data_time: 0.0258 lr: 0.01 max_mem: 20425M +[03/21 10:13:50] d2.utils.events INFO: eta: 6:25:18 iter: 33419 total_loss: 1.46 loss_cls: 0.01215 loss_box_reg: 0.0263 loss_rpn_cls: 0.00494 loss_rpn_loc: 0.001535 loss_D_img_s: 0.703 loss_cls_pseudo: 0.01484 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006424 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.9269 last_time: 1.3423 data_time: 0.0182 last_data_time: 0.0211 lr: 0.01 max_mem: 20425M +[03/21 10:14:18] d2.utils.events INFO: eta: 6:24:53 iter: 33439 total_loss: 1.44 loss_cls: 0.01244 loss_box_reg: 0.02757 loss_rpn_cls: 0.004734 loss_rpn_loc: 0.001895 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.006818 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001933 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 0.9272 last_time: 1.4164 data_time: 0.0191 last_data_time: 0.0194 lr: 0.01 max_mem: 20425M +[03/21 10:14:45] d2.utils.events INFO: eta: 6:24:27 iter: 33459 total_loss: 1.462 loss_cls: 0.01018 loss_box_reg: 0.02589 loss_rpn_cls: 0.002123 loss_rpn_loc: 0.001669 loss_D_img_s: 0.686 loss_cls_pseudo: 0.01775 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003798 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7032 time: 0.9274 last_time: 1.4228 data_time: 0.0177 last_data_time: 0.0316 lr: 0.01 max_mem: 20425M +[03/21 10:15:13] d2.utils.events INFO: eta: 6:23:52 iter: 33479 total_loss: 1.458 loss_cls: 0.00934 loss_box_reg: 0.02653 loss_rpn_cls: 0.003197 loss_rpn_loc: 0.001384 loss_D_img_s: 0.6808 loss_cls_pseudo: 0.01184 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003001 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7101 time: 0.9277 last_time: 1.3968 data_time: 0.0163 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 10:15:41] d2.utils.events INFO: eta: 6:23:24 iter: 33499 total_loss: 1.452 loss_cls: 0.009245 loss_box_reg: 0.02489 loss_rpn_cls: 0.003039 loss_rpn_loc: 0.002182 loss_D_img_s: 0.6736 loss_cls_pseudo: 0.006835 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002058 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7114 time: 0.9280 last_time: 1.3685 data_time: 0.0166 last_data_time: 0.0122 lr: 0.01 max_mem: 20425M +[03/21 10:16:09] d2.utils.events INFO: eta: 6:21:43 iter: 33519 total_loss: 1.445 loss_cls: 0.01026 loss_box_reg: 0.02359 loss_rpn_cls: 0.002 loss_rpn_loc: 0.00176 loss_D_img_s: 0.7079 loss_cls_pseudo: 0.008957 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6786 time: 0.9283 last_time: 1.2694 data_time: 0.0179 last_data_time: 0.0148 lr: 0.01 max_mem: 20425M +[03/21 10:16:37] d2.utils.events INFO: eta: 6:21:34 iter: 33539 total_loss: 1.431 loss_cls: 0.009525 loss_box_reg: 0.02636 loss_rpn_cls: 0.002582 loss_rpn_loc: 0.00168 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.008263 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001165 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6861 time: 0.9286 last_time: 1.3808 data_time: 0.0175 last_data_time: 0.0276 lr: 0.01 max_mem: 20425M +[03/21 10:17:05] d2.utils.events INFO: eta: 6:20:55 iter: 33559 total_loss: 1.442 loss_cls: 0.008715 loss_box_reg: 0.0279 loss_rpn_cls: 0.001796 loss_rpn_loc: 0.001545 loss_D_img_s: 0.6384 loss_cls_pseudo: 0.008781 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002067 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7497 time: 0.9289 last_time: 1.5186 data_time: 0.0166 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 10:17:33] d2.utils.events INFO: eta: 6:19:48 iter: 33579 total_loss: 1.446 loss_cls: 0.008258 loss_box_reg: 0.02643 loss_rpn_cls: 0.002207 loss_rpn_loc: 0.00138 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.01047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.9291 last_time: 1.1597 data_time: 0.0159 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 10:18:01] d2.utils.events INFO: eta: 6:19:20 iter: 33599 total_loss: 1.434 loss_cls: 0.009739 loss_box_reg: 0.02499 loss_rpn_cls: 0.00221 loss_rpn_loc: 0.001474 loss_D_img_s: 0.6839 loss_cls_pseudo: 0.007547 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001872 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7004 time: 0.9294 last_time: 1.4337 data_time: 0.0139 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 10:18:29] d2.utils.events INFO: eta: 6:19:10 iter: 33619 total_loss: 1.438 loss_cls: 0.008501 loss_box_reg: 0.0233 loss_rpn_cls: 0.001911 loss_rpn_loc: 0.001537 loss_D_img_s: 0.6905 loss_cls_pseudo: 0.01138 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00198 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6896 time: 0.9297 last_time: 1.4462 data_time: 0.0185 last_data_time: 0.0435 lr: 0.01 max_mem: 20425M +[03/21 10:18:57] d2.utils.events INFO: eta: 6:18:24 iter: 33639 total_loss: 1.439 loss_cls: 0.008578 loss_box_reg: 0.03035 loss_rpn_cls: 0.001691 loss_rpn_loc: 0.001438 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.007866 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001832 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6863 time: 0.9300 last_time: 1.3566 data_time: 0.0187 last_data_time: 0.0286 lr: 0.01 max_mem: 20425M +[03/21 10:19:25] d2.utils.events INFO: eta: 6:18:22 iter: 33659 total_loss: 1.456 loss_cls: 0.008004 loss_box_reg: 0.02727 loss_rpn_cls: 0.002051 loss_rpn_loc: 0.001551 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.01269 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004234 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 0.9302 last_time: 1.4947 data_time: 0.0210 last_data_time: 0.0346 lr: 0.01 max_mem: 20425M +[03/21 10:19:53] d2.utils.events INFO: eta: 6:17:58 iter: 33679 total_loss: 1.45 loss_cls: 0.009475 loss_box_reg: 0.02892 loss_rpn_cls: 0.003406 loss_rpn_loc: 0.001903 loss_D_img_s: 0.6973 loss_cls_pseudo: 0.006442 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6826 time: 0.9305 last_time: 1.4446 data_time: 0.0181 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 10:20:21] d2.utils.events INFO: eta: 6:17:41 iter: 33699 total_loss: 1.451 loss_cls: 0.0126 loss_box_reg: 0.03004 loss_rpn_cls: 0.003448 loss_rpn_loc: 0.001664 loss_D_img_s: 0.6993 loss_cls_pseudo: 0.009508 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001705 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6808 time: 0.9308 last_time: 1.3796 data_time: 0.0253 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 10:20:50] d2.utils.events INFO: eta: 6:17:24 iter: 33719 total_loss: 1.453 loss_cls: 0.01348 loss_box_reg: 0.03095 loss_rpn_cls: 0.004198 loss_rpn_loc: 0.0013 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.01418 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001825 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 0.9311 last_time: 1.2575 data_time: 0.0186 last_data_time: 0.0219 lr: 0.01 max_mem: 20425M +[03/21 10:21:18] d2.utils.events INFO: eta: 6:17:05 iter: 33739 total_loss: 1.449 loss_cls: 0.01132 loss_box_reg: 0.03098 loss_rpn_cls: 0.003445 loss_rpn_loc: 0.001718 loss_D_img_s: 0.6987 loss_cls_pseudo: 0.009701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00427 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6685 time: 0.9314 last_time: 1.2995 data_time: 0.0258 last_data_time: 0.0495 lr: 0.01 max_mem: 20425M +[03/21 10:21:47] d2.utils.events INFO: eta: 6:17:07 iter: 33759 total_loss: 1.443 loss_cls: 0.01162 loss_box_reg: 0.02267 loss_rpn_cls: 0.00373 loss_rpn_loc: 0.001728 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.01091 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003583 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 0.9317 last_time: 1.4288 data_time: 0.0155 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 10:22:15] d2.utils.events INFO: eta: 6:16:39 iter: 33779 total_loss: 1.46 loss_cls: 0.009011 loss_box_reg: 0.02866 loss_rpn_cls: 0.003633 loss_rpn_loc: 0.001542 loss_D_img_s: 0.6757 loss_cls_pseudo: 0.01031 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002569 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.715 time: 0.9320 last_time: 1.2377 data_time: 0.0241 last_data_time: 0.0286 lr: 0.01 max_mem: 20425M +[03/21 10:22:43] d2.utils.events INFO: eta: 6:16:20 iter: 33799 total_loss: 1.458 loss_cls: 0.01049 loss_box_reg: 0.02647 loss_rpn_cls: 0.001395 loss_rpn_loc: 0.001416 loss_D_img_s: 0.6893 loss_cls_pseudo: 0.01159 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003041 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6983 time: 0.9322 last_time: 1.5020 data_time: 0.0210 last_data_time: 0.0210 lr: 0.01 max_mem: 20425M +[03/21 10:23:10] d2.utils.events INFO: eta: 6:15:44 iter: 33819 total_loss: 1.467 loss_cls: 0.01224 loss_box_reg: 0.0267 loss_rpn_cls: 0.004182 loss_rpn_loc: 0.001534 loss_D_img_s: 0.6792 loss_cls_pseudo: 0.01294 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003511 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7138 time: 0.9325 last_time: 1.3058 data_time: 0.0147 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 10:23:38] d2.utils.events INFO: eta: 6:15:28 iter: 33839 total_loss: 1.459 loss_cls: 0.01543 loss_box_reg: 0.03235 loss_rpn_cls: 0.00346 loss_rpn_loc: 0.002249 loss_D_img_s: 0.7004 loss_cls_pseudo: 0.01505 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003116 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6827 time: 0.9328 last_time: 1.3243 data_time: 0.0194 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 10:24:06] d2.utils.events INFO: eta: 6:14:44 iter: 33859 total_loss: 1.449 loss_cls: 0.0103 loss_box_reg: 0.02159 loss_rpn_cls: 0.002435 loss_rpn_loc: 0.001615 loss_D_img_s: 0.6853 loss_cls_pseudo: 0.01069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7008 time: 0.9330 last_time: 1.5370 data_time: 0.0167 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 10:24:33] d2.utils.events INFO: eta: 6:14:07 iter: 33879 total_loss: 1.435 loss_cls: 0.008038 loss_box_reg: 0.02314 loss_rpn_cls: 0.002705 loss_rpn_loc: 0.001468 loss_D_img_s: 0.7028 loss_cls_pseudo: 0.009043 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6783 time: 0.9333 last_time: 1.4863 data_time: 0.0204 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 10:25:00] d2.utils.events INFO: eta: 6:13:30 iter: 33899 total_loss: 1.444 loss_cls: 0.01101 loss_box_reg: 0.02501 loss_rpn_cls: 0.002271 loss_rpn_loc: 0.001612 loss_D_img_s: 0.681 loss_cls_pseudo: 0.009689 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002506 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7013 time: 0.9335 last_time: 1.4201 data_time: 0.0190 last_data_time: 0.0227 lr: 0.01 max_mem: 20425M +[03/21 10:25:28] d2.utils.events INFO: eta: 6:12:54 iter: 33919 total_loss: 1.44 loss_cls: 0.01159 loss_box_reg: 0.02998 loss_rpn_cls: 0.002256 loss_rpn_loc: 0.001525 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.008264 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002571 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6771 time: 0.9338 last_time: 1.4320 data_time: 0.0170 last_data_time: 0.0117 lr: 0.01 max_mem: 20425M +[03/21 10:25:55] d2.utils.events INFO: eta: 6:12:07 iter: 33939 total_loss: 1.452 loss_cls: 0.009981 loss_box_reg: 0.02591 loss_rpn_cls: 0.002903 loss_rpn_loc: 0.00146 loss_D_img_s: 0.7002 loss_cls_pseudo: 0.01278 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003008 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6804 time: 0.9341 last_time: 1.5658 data_time: 0.0120 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 10:26:23] d2.utils.events INFO: eta: 6:11:39 iter: 33959 total_loss: 1.441 loss_cls: 0.01029 loss_box_reg: 0.03073 loss_rpn_cls: 0.003701 loss_rpn_loc: 0.001921 loss_D_img_s: 0.6994 loss_cls_pseudo: 0.01385 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002665 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6758 time: 0.9343 last_time: 1.3252 data_time: 0.0211 last_data_time: 0.0294 lr: 0.01 max_mem: 20425M +[03/21 10:26:51] d2.utils.events INFO: eta: 6:10:55 iter: 33979 total_loss: 1.436 loss_cls: 0.01067 loss_box_reg: 0.02483 loss_rpn_cls: 0.001448 loss_rpn_loc: 0.001944 loss_D_img_s: 0.6997 loss_cls_pseudo: 0.01136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002748 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 0.9346 last_time: 1.5282 data_time: 0.0215 last_data_time: 0.0226 lr: 0.01 max_mem: 20425M +[03/21 10:27:19] d2.data.common INFO: Serializing the dataset using: +[03/21 10:27:19] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:27:19] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:27:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:27:19] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:27:21] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 10:29:31] d2.evaluation.evaluator INFO: Total inference time: 0:02:10.288817 (0.131871 s / iter per device, on 1 devices) +[03/21 10:29:31] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:14 (0.075170 s / iter per device, on 1 devices) +[03/21 10:29:31] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:29:31] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:29:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:29:31] d2.evaluation.testing INFO: copypaste: 0.3532,1.5847,0.1311 +[03/21 10:29:31] d2.data.common INFO: Serializing the dataset using: +[03/21 10:29:31] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:29:31] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:29:31] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:29:31] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:29:35] d2.evaluation.evaluator INFO: Inference done 19/993. 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ETA=0:00:15 +[03/21 10:31:27] d2.evaluation.evaluator INFO: Inference done 912/993. Dataloading: 0.0540 s/iter. Inference: 0.0715 s/iter. Eval: 0.0003 s/iter. Total: 0.1259 s/iter. ETA=0:00:10 +[03/21 10:31:32] d2.evaluation.evaluator INFO: Inference done 949/993. Dataloading: 0.0545 s/iter. Inference: 0.0714 s/iter. Eval: 0.0003 s/iter. Total: 0.1263 s/iter. ETA=0:00:05 +[03/21 10:31:37] d2.evaluation.evaluator INFO: Inference done 992/993. Dataloading: 0.0546 s/iter. Inference: 0.0711 s/iter. Eval: 0.0003 s/iter. Total: 0.1261 s/iter. ETA=0:00:00 +[03/21 10:31:37] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.719036 (0.126234 s / iter per device, on 1 devices) +[03/21 10:31:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:10 (0.071078 s / iter per device, on 1 devices) +[03/21 10:31:38] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:31:38] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:31:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:31:38] d2.evaluation.testing INFO: copypaste: 0.5964,3.1116,0.0834 +[03/21 10:31:38] d2.utils.events INFO: eta: 6:11:02 iter: 33999 total_loss: 1.448 loss_cls: 0.009339 loss_box_reg: 0.02619 loss_rpn_cls: 0.002521 loss_rpn_loc: 0.001393 loss_D_img_s: 0.686 loss_cls_pseudo: 0.01296 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004333 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 0.9349 last_time: 1.4306 data_time: 0.0247 last_data_time: 0.0385 lr: 0.01 max_mem: 20425M +[03/21 10:32:04] d2.utils.events INFO: eta: 6:10:34 iter: 34019 total_loss: 1.449 loss_cls: 0.01023 loss_box_reg: 0.03037 loss_rpn_cls: 0.003321 loss_rpn_loc: 0.002148 loss_D_img_s: 0.7105 loss_cls_pseudo: 0.008827 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001565 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6701 time: 0.9351 last_time: 1.2329 data_time: 0.0178 last_data_time: 0.0143 lr: 0.01 max_mem: 20425M +[03/21 10:32:31] d2.utils.events INFO: eta: 6:09:59 iter: 34039 total_loss: 1.444 loss_cls: 0.01146 loss_box_reg: 0.02742 loss_rpn_cls: 0.003304 loss_rpn_loc: 0.002034 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.008948 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001822 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.676 time: 0.9354 last_time: 1.4307 data_time: 0.0185 last_data_time: 0.0165 lr: 0.01 max_mem: 20425M +[03/21 10:32:58] d2.utils.events INFO: eta: 6:09:40 iter: 34059 total_loss: 1.441 loss_cls: 0.01032 loss_box_reg: 0.03116 loss_rpn_cls: 0.002014 loss_rpn_loc: 0.002209 loss_D_img_s: 0.7018 loss_cls_pseudo: 0.005672 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001284 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6819 time: 0.9356 last_time: 1.3299 data_time: 0.0191 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 10:33:25] d2.utils.events INFO: eta: 6:09:12 iter: 34079 total_loss: 1.444 loss_cls: 0.009314 loss_box_reg: 0.02564 loss_rpn_cls: 0.00241 loss_rpn_loc: 0.001796 loss_D_img_s: 0.6855 loss_cls_pseudo: 0.00845 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001601 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6898 time: 0.9358 last_time: 1.3766 data_time: 0.0180 last_data_time: 0.0139 lr: 0.01 max_mem: 20425M +[03/21 10:33:52] d2.utils.events INFO: eta: 6:08:28 iter: 34099 total_loss: 1.455 loss_cls: 0.01407 loss_box_reg: 0.02761 loss_rpn_cls: 0.003645 loss_rpn_loc: 0.001776 loss_D_img_s: 0.711 loss_cls_pseudo: 0.01064 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002135 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6957 time: 0.9361 last_time: 1.4330 data_time: 0.0160 last_data_time: 0.0252 lr: 0.01 max_mem: 20425M +[03/21 10:34:19] d2.utils.events INFO: eta: 6:08:46 iter: 34119 total_loss: 1.441 loss_cls: 0.01172 loss_box_reg: 0.029 loss_rpn_cls: 0.002922 loss_rpn_loc: 0.001889 loss_D_img_s: 0.6846 loss_cls_pseudo: 0.007032 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002446 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7014 time: 0.9363 last_time: 1.4363 data_time: 0.0221 last_data_time: 0.0156 lr: 0.01 max_mem: 20425M +[03/21 10:34:46] d2.utils.events INFO: eta: 6:07:40 iter: 34139 total_loss: 1.452 loss_cls: 0.008174 loss_box_reg: 0.02922 loss_rpn_cls: 0.003196 loss_rpn_loc: 0.001649 loss_D_img_s: 0.7068 loss_cls_pseudo: 0.01035 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003791 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6695 time: 0.9366 last_time: 1.3092 data_time: 0.0169 last_data_time: 0.0135 lr: 0.01 max_mem: 20425M +[03/21 10:35:14] d2.utils.events INFO: eta: 6:07:12 iter: 34159 total_loss: 1.44 loss_cls: 0.008823 loss_box_reg: 0.02326 loss_rpn_cls: 0.002257 loss_rpn_loc: 0.001524 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.01232 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006339 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6762 time: 0.9368 last_time: 1.3389 data_time: 0.0160 last_data_time: 0.0230 lr: 0.01 max_mem: 20425M +[03/21 10:35:42] d2.utils.events INFO: eta: 6:07:10 iter: 34179 total_loss: 1.439 loss_cls: 0.01029 loss_box_reg: 0.02922 loss_rpn_cls: 0.003765 loss_rpn_loc: 0.001272 loss_D_img_s: 0.6747 loss_cls_pseudo: 0.008194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001943 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7065 time: 0.9371 last_time: 1.4353 data_time: 0.0206 last_data_time: 0.0289 lr: 0.01 max_mem: 20425M +[03/21 10:36:11] d2.utils.events INFO: eta: 6:07:01 iter: 34199 total_loss: 1.446 loss_cls: 0.009469 loss_box_reg: 0.02923 loss_rpn_cls: 0.003821 loss_rpn_loc: 0.001668 loss_D_img_s: 0.6984 loss_cls_pseudo: 0.008151 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005146 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6788 time: 0.9374 last_time: 1.4972 data_time: 0.0205 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 10:36:40] d2.utils.events INFO: eta: 6:06:53 iter: 34219 total_loss: 1.441 loss_cls: 0.01093 loss_box_reg: 0.02452 loss_rpn_cls: 0.004147 loss_rpn_loc: 0.00132 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.009332 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003186 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6832 time: 0.9377 last_time: 1.2999 data_time: 0.0227 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 10:37:07] d2.utils.events INFO: eta: 6:06:16 iter: 34239 total_loss: 1.419 loss_cls: 0.008012 loss_box_reg: 0.02273 loss_rpn_cls: 0.003117 loss_rpn_loc: 0.001415 loss_D_img_s: 0.684 loss_cls_pseudo: 0.008447 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001824 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6784 time: 0.9379 last_time: 1.4167 data_time: 0.0171 last_data_time: 0.0224 lr: 0.01 max_mem: 20425M +[03/21 10:37:35] d2.utils.events INFO: eta: 6:05:51 iter: 34259 total_loss: 1.444 loss_cls: 0.01268 loss_box_reg: 0.03309 loss_rpn_cls: 0.004189 loss_rpn_loc: 0.001543 loss_D_img_s: 0.694 loss_cls_pseudo: 0.01089 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001543 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.673 time: 0.9382 last_time: 1.4282 data_time: 0.0158 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 10:38:02] d2.utils.events INFO: eta: 6:05:23 iter: 34279 total_loss: 1.44 loss_cls: 0.009331 loss_box_reg: 0.02423 loss_rpn_cls: 0.002204 loss_rpn_loc: 0.001346 loss_D_img_s: 0.6815 loss_cls_pseudo: 0.004232 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002069 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6744 time: 0.9385 last_time: 1.1619 data_time: 0.0190 last_data_time: 0.0304 lr: 0.01 max_mem: 20425M +[03/21 10:38:30] d2.utils.events INFO: eta: 6:05:15 iter: 34299 total_loss: 1.445 loss_cls: 0.01192 loss_box_reg: 0.0288 loss_rpn_cls: 0.004714 loss_rpn_loc: 0.002115 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.01106 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 0.9387 last_time: 1.3868 data_time: 0.0222 last_data_time: 0.0124 lr: 0.01 max_mem: 20425M +[03/21 10:38:58] d2.utils.events INFO: eta: 6:05:02 iter: 34319 total_loss: 1.429 loss_cls: 0.01019 loss_box_reg: 0.02646 loss_rpn_cls: 0.001724 loss_rpn_loc: 0.001477 loss_D_img_s: 0.6862 loss_cls_pseudo: 0.01121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00268 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6872 time: 0.9390 last_time: 1.3248 data_time: 0.0200 last_data_time: 0.0098 lr: 0.01 max_mem: 20425M +[03/21 10:39:26] d2.utils.events INFO: eta: 6:04:31 iter: 34339 total_loss: 1.445 loss_cls: 0.0135 loss_box_reg: 0.02737 loss_rpn_cls: 0.006757 loss_rpn_loc: 0.002249 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.009484 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002008 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6992 time: 0.9393 last_time: 1.3207 data_time: 0.0188 last_data_time: 0.0174 lr: 0.01 max_mem: 20425M +[03/21 10:39:54] d2.utils.events INFO: eta: 6:04:03 iter: 34359 total_loss: 1.442 loss_cls: 0.01061 loss_box_reg: 0.03073 loss_rpn_cls: 0.001732 loss_rpn_loc: 0.00172 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.005148 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001446 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6761 time: 0.9395 last_time: 1.2613 data_time: 0.0149 last_data_time: 0.0095 lr: 0.01 max_mem: 20425M +[03/21 10:40:22] d2.utils.events INFO: eta: 6:03:33 iter: 34379 total_loss: 1.461 loss_cls: 0.01175 loss_box_reg: 0.02381 loss_rpn_cls: 0.004838 loss_rpn_loc: 0.001859 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.0162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.008278 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 0.9398 last_time: 1.4145 data_time: 0.0173 last_data_time: 0.0156 lr: 0.01 max_mem: 20425M +[03/21 10:40:50] d2.utils.events INFO: eta: 6:03:05 iter: 34399 total_loss: 1.456 loss_cls: 0.008337 loss_box_reg: 0.02397 loss_rpn_cls: 0.004413 loss_rpn_loc: 0.002599 loss_D_img_s: 0.6841 loss_cls_pseudo: 0.01008 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005357 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 0.9401 last_time: 1.3031 data_time: 0.0214 last_data_time: 0.0275 lr: 0.01 max_mem: 20425M +[03/21 10:41:17] d2.utils.events INFO: eta: 6:02:20 iter: 34419 total_loss: 1.457 loss_cls: 0.01005 loss_box_reg: 0.02597 loss_rpn_cls: 0.003361 loss_rpn_loc: 0.001425 loss_D_img_s: 0.6801 loss_cls_pseudo: 0.007566 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002727 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7171 time: 0.9403 last_time: 1.3720 data_time: 0.0194 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 10:41:45] d2.utils.events INFO: eta: 6:01:59 iter: 34439 total_loss: 1.448 loss_cls: 0.007914 loss_box_reg: 0.02744 loss_rpn_cls: 0.002777 loss_rpn_loc: 0.00181 loss_D_img_s: 0.647 loss_cls_pseudo: 0.009575 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001847 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7092 time: 0.9406 last_time: 1.2153 data_time: 0.0184 last_data_time: 0.0157 lr: 0.01 max_mem: 20425M +[03/21 10:42:13] d2.utils.events INFO: eta: 6:01:31 iter: 34459 total_loss: 1.474 loss_cls: 0.009777 loss_box_reg: 0.03219 loss_rpn_cls: 0.00297 loss_rpn_loc: 0.002209 loss_D_img_s: 0.6046 loss_cls_pseudo: 0.008928 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004756 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7873 time: 0.9408 last_time: 1.3799 data_time: 0.0145 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 10:42:41] d2.utils.events INFO: eta: 6:01:03 iter: 34479 total_loss: 1.483 loss_cls: 0.01769 loss_box_reg: 0.03496 loss_rpn_cls: 0.005615 loss_rpn_loc: 0.002075 loss_D_img_s: 0.6986 loss_cls_pseudo: 0.01381 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004156 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 0.9411 last_time: 1.4541 data_time: 0.0163 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 10:43:09] d2.utils.events INFO: eta: 6:00:28 iter: 34499 total_loss: 1.453 loss_cls: 0.01182 loss_box_reg: 0.02471 loss_rpn_cls: 0.003546 loss_rpn_loc: 0.001321 loss_D_img_s: 0.6644 loss_cls_pseudo: 0.01104 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003224 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7273 time: 0.9413 last_time: 1.4535 data_time: 0.0141 last_data_time: 0.0214 lr: 0.01 max_mem: 20425M +[03/21 10:43:37] d2.utils.events INFO: eta: 6:00:21 iter: 34519 total_loss: 1.444 loss_cls: 0.008372 loss_box_reg: 0.02708 loss_rpn_cls: 0.001207 loss_rpn_loc: 0.001476 loss_D_img_s: 0.7107 loss_cls_pseudo: 0.01127 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00226 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6691 time: 0.9416 last_time: 1.3915 data_time: 0.0201 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 10:44:04] d2.utils.events INFO: eta: 5:59:26 iter: 34539 total_loss: 1.447 loss_cls: 0.01023 loss_box_reg: 0.02836 loss_rpn_cls: 0.003648 loss_rpn_loc: 0.001742 loss_D_img_s: 0.6654 loss_cls_pseudo: 0.005624 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001619 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7163 time: 0.9419 last_time: 1.2415 data_time: 0.0226 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 10:44:32] d2.utils.events INFO: eta: 5:59:12 iter: 34559 total_loss: 1.45 loss_cls: 0.01028 loss_box_reg: 0.0248 loss_rpn_cls: 0.004123 loss_rpn_loc: 0.001611 loss_D_img_s: 0.689 loss_cls_pseudo: 0.008749 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002953 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 0.9421 last_time: 1.4620 data_time: 0.0170 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 10:45:00] d2.utils.events INFO: eta: 5:58:53 iter: 34579 total_loss: 1.446 loss_cls: 0.009932 loss_box_reg: 0.02328 loss_rpn_cls: 0.003166 loss_rpn_loc: 0.001943 loss_D_img_s: 0.6731 loss_cls_pseudo: 0.01393 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002817 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.705 time: 0.9424 last_time: 1.5654 data_time: 0.0181 last_data_time: 0.0095 lr: 0.01 max_mem: 20425M +[03/21 10:45:28] d2.utils.events INFO: eta: 5:58:25 iter: 34599 total_loss: 1.453 loss_cls: 0.01159 loss_box_reg: 0.02616 loss_rpn_cls: 0.003643 loss_rpn_loc: 0.002147 loss_D_img_s: 0.708 loss_cls_pseudo: 0.01018 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004074 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6706 time: 0.9427 last_time: 1.4623 data_time: 0.0145 last_data_time: 0.0210 lr: 0.01 max_mem: 20425M +[03/21 10:45:56] d2.utils.events INFO: eta: 5:58:01 iter: 34619 total_loss: 1.443 loss_cls: 0.01145 loss_box_reg: 0.02604 loss_rpn_cls: 0.003685 loss_rpn_loc: 0.001522 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.006051 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001477 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6993 time: 0.9429 last_time: 1.3117 data_time: 0.0149 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 10:46:25] d2.utils.events INFO: eta: 5:57:39 iter: 34639 total_loss: 1.447 loss_cls: 0.009053 loss_box_reg: 0.02901 loss_rpn_cls: 0.003558 loss_rpn_loc: 0.001942 loss_D_img_s: 0.6743 loss_cls_pseudo: 0.008984 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001324 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7122 time: 0.9432 last_time: 1.2223 data_time: 0.0175 last_data_time: 0.0317 lr: 0.01 max_mem: 20425M +[03/21 10:46:52] d2.utils.events INFO: eta: 5:56:34 iter: 34659 total_loss: 1.44 loss_cls: 0.007737 loss_box_reg: 0.02696 loss_rpn_cls: 0.00196 loss_rpn_loc: 0.001303 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.009561 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00215 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 0.9434 last_time: 1.4346 data_time: 0.0154 last_data_time: 0.0130 lr: 0.01 max_mem: 20425M +[03/21 10:47:20] d2.utils.events INFO: eta: 5:56:22 iter: 34679 total_loss: 1.454 loss_cls: 0.01008 loss_box_reg: 0.03298 loss_rpn_cls: 0.002573 loss_rpn_loc: 0.001847 loss_D_img_s: 0.6893 loss_cls_pseudo: 0.009516 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002092 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6983 time: 0.9437 last_time: 1.3149 data_time: 0.0239 last_data_time: 0.0436 lr: 0.01 max_mem: 20425M +[03/21 10:47:48] d2.utils.events INFO: eta: 5:55:35 iter: 34699 total_loss: 1.431 loss_cls: 0.008196 loss_box_reg: 0.02115 loss_rpn_cls: 0.003696 loss_rpn_loc: 0.001924 loss_D_img_s: 0.6966 loss_cls_pseudo: 0.007288 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001834 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.682 time: 0.9440 last_time: 1.4867 data_time: 0.0229 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 10:48:16] d2.utils.events INFO: eta: 5:55:02 iter: 34719 total_loss: 1.448 loss_cls: 0.01289 loss_box_reg: 0.0291 loss_rpn_cls: 0.004215 loss_rpn_loc: 0.001601 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.009672 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002575 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 0.9442 last_time: 1.4584 data_time: 0.0183 last_data_time: 0.0117 lr: 0.01 max_mem: 20425M +[03/21 10:48:44] d2.utils.events INFO: eta: 5:54:27 iter: 34739 total_loss: 1.44 loss_cls: 0.01158 loss_box_reg: 0.02383 loss_rpn_cls: 0.003363 loss_rpn_loc: 0.001674 loss_D_img_s: 0.6763 loss_cls_pseudo: 0.005706 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001929 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7123 time: 0.9445 last_time: 1.5824 data_time: 0.0191 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 10:49:12] d2.utils.events INFO: eta: 5:53:23 iter: 34759 total_loss: 1.451 loss_cls: 0.009116 loss_box_reg: 0.02996 loss_rpn_cls: 0.001714 loss_rpn_loc: 0.001757 loss_D_img_s: 0.7107 loss_cls_pseudo: 0.01259 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003398 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6727 time: 0.9448 last_time: 1.4516 data_time: 0.0183 last_data_time: 0.0202 lr: 0.01 max_mem: 20425M +[03/21 10:49:39] d2.utils.events INFO: eta: 5:52:55 iter: 34779 total_loss: 1.445 loss_cls: 0.01064 loss_box_reg: 0.02633 loss_rpn_cls: 0.00318 loss_rpn_loc: 0.001424 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.009012 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001168 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 0.9450 last_time: 1.3689 data_time: 0.0179 last_data_time: 0.0309 lr: 0.01 max_mem: 20425M +[03/21 10:50:07] d2.utils.events INFO: eta: 5:52:14 iter: 34799 total_loss: 1.444 loss_cls: 0.0112 loss_box_reg: 0.02222 loss_rpn_cls: 0.002739 loss_rpn_loc: 0.001695 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.01099 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006638 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 0.9452 last_time: 1.4490 data_time: 0.0153 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 10:50:35] d2.utils.events INFO: eta: 5:52:10 iter: 34819 total_loss: 1.447 loss_cls: 0.01049 loss_box_reg: 0.02376 loss_rpn_cls: 0.001278 loss_rpn_loc: 0.001648 loss_D_img_s: 0.7 loss_cls_pseudo: 0.009008 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001876 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.682 time: 0.9455 last_time: 1.4459 data_time: 0.0199 last_data_time: 0.0177 lr: 0.01 max_mem: 20425M +[03/21 10:51:02] d2.utils.events INFO: eta: 5:50:57 iter: 34839 total_loss: 1.454 loss_cls: 0.01215 loss_box_reg: 0.03131 loss_rpn_cls: 0.004159 loss_rpn_loc: 0.002122 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.008868 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.683 time: 0.9457 last_time: 1.4788 data_time: 0.0161 last_data_time: 0.0170 lr: 0.01 max_mem: 20425M +[03/21 10:51:29] d2.utils.events INFO: eta: 5:50:53 iter: 34859 total_loss: 1.43 loss_cls: 0.007102 loss_box_reg: 0.01789 loss_rpn_cls: 0.002007 loss_rpn_loc: 0.001321 loss_D_img_s: 0.6905 loss_cls_pseudo: 0.006341 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001742 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 0.9460 last_time: 1.4302 data_time: 0.0206 last_data_time: 0.0128 lr: 0.01 max_mem: 20425M +[03/21 10:51:57] d2.utils.events INFO: eta: 5:50:36 iter: 34879 total_loss: 1.445 loss_cls: 0.008695 loss_box_reg: 0.01929 loss_rpn_cls: 0.002635 loss_rpn_loc: 0.001941 loss_D_img_s: 0.6522 loss_cls_pseudo: 0.009763 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002128 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7375 time: 0.9462 last_time: 1.1483 data_time: 0.0183 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 10:52:25] d2.utils.events INFO: eta: 5:50:13 iter: 34899 total_loss: 1.437 loss_cls: 0.01009 loss_box_reg: 0.02502 loss_rpn_cls: 0.002954 loss_rpn_loc: 0.001892 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.007885 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002643 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6719 time: 0.9465 last_time: 1.3627 data_time: 0.0187 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 10:52:52] d2.utils.events INFO: eta: 5:49:47 iter: 34919 total_loss: 1.453 loss_cls: 0.01192 loss_box_reg: 0.0277 loss_rpn_cls: 0.003941 loss_rpn_loc: 0.001643 loss_D_img_s: 0.6996 loss_cls_pseudo: 0.01364 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003854 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.686 time: 0.9467 last_time: 1.4850 data_time: 0.0221 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 10:53:20] d2.utils.events INFO: eta: 5:49:43 iter: 34939 total_loss: 1.435 loss_cls: 0.01288 loss_box_reg: 0.02475 loss_rpn_cls: 0.004953 loss_rpn_loc: 0.002313 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.009782 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002088 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 0.9470 last_time: 1.4735 data_time: 0.0247 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 10:53:48] d2.utils.events INFO: eta: 5:49:16 iter: 34959 total_loss: 1.438 loss_cls: 0.01026 loss_box_reg: 0.02202 loss_rpn_cls: 0.002063 loss_rpn_loc: 0.001491 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.01023 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001703 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6845 time: 0.9473 last_time: 1.4798 data_time: 0.0125 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 10:54:16] d2.utils.events INFO: eta: 5:48:56 iter: 34979 total_loss: 1.456 loss_cls: 0.01059 loss_box_reg: 0.02774 loss_rpn_cls: 0.002329 loss_rpn_loc: 0.001563 loss_D_img_s: 0.6897 loss_cls_pseudo: 0.01429 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00211 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 0.9475 last_time: 1.3596 data_time: 0.0122 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 10:54:44] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0034999.pth +[03/21 10:54:45] d2.data.common INFO: Serializing the dataset using: +[03/21 10:54:45] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:54:45] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:54:45] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:54:45] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:54:47] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 10:56:54] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.236281 (0.128782 s / iter per device, on 1 devices) +[03/21 10:56:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072790 s / iter per device, on 1 devices) +[03/21 10:56:54] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:56:54] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:56:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:56:54] d2.evaluation.testing INFO: copypaste: 0.7636,4.0632,0.2236 +[03/21 10:56:54] d2.data.common INFO: Serializing the dataset using: +[03/21 10:56:54] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 10:56:54] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 10:56:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 10:56:54] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 10:56:56] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 10:59:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:09.826237 (0.131403 s / iter per device, on 1 devices) +[03/21 10:59:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073803 s / iter per device, on 1 devices) +[03/21 10:59:05] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 10:59:05] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 10:59:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 10:59:05] d2.evaluation.testing INFO: copypaste: 0.5943,3.3816,0.0573 +[03/21 10:59:05] d2.utils.events INFO: eta: 5:48:18 iter: 34999 total_loss: 1.435 loss_cls: 0.01052 loss_box_reg: 0.02469 loss_rpn_cls: 0.003092 loss_rpn_loc: 0.0016 loss_D_img_s: 0.7048 loss_cls_pseudo: 0.008855 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00139 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6735 time: 0.9478 last_time: 1.3135 data_time: 0.0220 last_data_time: 0.0173 lr: 0.01 max_mem: 20425M +[03/21 10:59:33] d2.utils.events INFO: eta: 5:47:57 iter: 35019 total_loss: 1.43 loss_cls: 0.009739 loss_box_reg: 0.02914 loss_rpn_cls: 0.001602 loss_rpn_loc: 0.001339 loss_D_img_s: 0.6747 loss_cls_pseudo: 0.005181 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00107 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7025 time: 0.9480 last_time: 1.2006 data_time: 0.0215 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 11:00:00] d2.utils.events INFO: eta: 5:47:32 iter: 35039 total_loss: 1.44 loss_cls: 0.009499 loss_box_reg: 0.02357 loss_rpn_cls: 0.001328 loss_rpn_loc: 0.001489 loss_D_img_s: 0.706 loss_cls_pseudo: 0.005012 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0008521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6802 time: 0.9482 last_time: 1.2190 data_time: 0.0152 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 11:00:28] d2.utils.events INFO: eta: 5:47:08 iter: 35059 total_loss: 1.459 loss_cls: 0.0129 loss_box_reg: 0.02091 loss_rpn_cls: 0.003874 loss_rpn_loc: 0.001531 loss_D_img_s: 0.7013 loss_cls_pseudo: 0.01277 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00642 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 0.9485 last_time: 1.4237 data_time: 0.0121 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 11:00:55] d2.utils.events INFO: eta: 5:46:50 iter: 35079 total_loss: 1.446 loss_cls: 0.01485 loss_box_reg: 0.02598 loss_rpn_cls: 0.005544 loss_rpn_loc: 0.002152 loss_D_img_s: 0.6819 loss_cls_pseudo: 0.0101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002282 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6956 time: 0.9487 last_time: 1.1294 data_time: 0.0166 last_data_time: 0.0396 lr: 0.01 max_mem: 20425M +[03/21 11:01:23] d2.utils.events INFO: eta: 5:46:23 iter: 35099 total_loss: 1.438 loss_cls: 0.008841 loss_box_reg: 0.02688 loss_rpn_cls: 0.002315 loss_rpn_loc: 0.001538 loss_D_img_s: 0.6992 loss_cls_pseudo: 0.007037 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00214 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6788 time: 0.9490 last_time: 1.2859 data_time: 0.0185 last_data_time: 0.0248 lr: 0.01 max_mem: 20425M +[03/21 11:01:50] d2.utils.events INFO: eta: 5:45:50 iter: 35119 total_loss: 1.428 loss_cls: 0.007744 loss_box_reg: 0.02016 loss_rpn_cls: 0.001962 loss_rpn_loc: 0.001113 loss_D_img_s: 0.7029 loss_cls_pseudo: 0.004739 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001646 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6711 time: 0.9492 last_time: 1.4508 data_time: 0.0177 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 11:02:18] d2.utils.events INFO: eta: 5:45:35 iter: 35139 total_loss: 1.452 loss_cls: 0.008963 loss_box_reg: 0.02981 loss_rpn_cls: 0.003167 loss_rpn_loc: 0.001925 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.008815 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003416 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6824 time: 0.9495 last_time: 1.4673 data_time: 0.0189 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 11:02:46] d2.utils.events INFO: eta: 5:45:12 iter: 35159 total_loss: 1.44 loss_cls: 0.008672 loss_box_reg: 0.02374 loss_rpn_cls: 0.00184 loss_rpn_loc: 0.001349 loss_D_img_s: 0.676 loss_cls_pseudo: 0.005642 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001587 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.699 time: 0.9497 last_time: 1.4680 data_time: 0.0167 last_data_time: 0.0398 lr: 0.01 max_mem: 20425M +[03/21 11:03:13] d2.utils.events INFO: eta: 5:44:31 iter: 35179 total_loss: 1.447 loss_cls: 0.0107 loss_box_reg: 0.02693 loss_rpn_cls: 0.00337 loss_rpn_loc: 0.002038 loss_D_img_s: 0.6834 loss_cls_pseudo: 0.006637 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 0.9500 last_time: 1.5925 data_time: 0.0154 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 11:03:42] d2.utils.events INFO: eta: 5:43:50 iter: 35199 total_loss: 1.445 loss_cls: 0.01097 loss_box_reg: 0.02812 loss_rpn_cls: 0.003455 loss_rpn_loc: 0.001758 loss_D_img_s: 0.6782 loss_cls_pseudo: 0.01 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002017 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7008 time: 0.9502 last_time: 1.4042 data_time: 0.0315 last_data_time: 0.0094 lr: 0.01 max_mem: 20425M +[03/21 11:04:10] d2.utils.events INFO: eta: 5:43:22 iter: 35219 total_loss: 1.45 loss_cls: 0.007971 loss_box_reg: 0.02421 loss_rpn_cls: 0.002888 loss_rpn_loc: 0.001439 loss_D_img_s: 0.694 loss_cls_pseudo: 0.01061 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00194 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 0.9505 last_time: 1.4803 data_time: 0.0173 last_data_time: 0.0210 lr: 0.01 max_mem: 20425M +[03/21 11:04:37] d2.utils.events INFO: eta: 5:43:03 iter: 35239 total_loss: 1.438 loss_cls: 0.008721 loss_box_reg: 0.02747 loss_rpn_cls: 0.004784 loss_rpn_loc: 0.001697 loss_D_img_s: 0.7004 loss_cls_pseudo: 0.01329 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006906 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6799 time: 0.9507 last_time: 1.3256 data_time: 0.0161 last_data_time: 0.0159 lr: 0.01 max_mem: 20425M +[03/21 11:05:05] d2.utils.events INFO: eta: 5:42:25 iter: 35259 total_loss: 1.45 loss_cls: 0.01305 loss_box_reg: 0.02868 loss_rpn_cls: 0.004179 loss_rpn_loc: 0.00216 loss_D_img_s: 0.6797 loss_cls_pseudo: 0.01021 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7014 time: 0.9510 last_time: 1.3659 data_time: 0.0190 last_data_time: 0.0138 lr: 0.01 max_mem: 20425M +[03/21 11:05:33] d2.utils.events INFO: eta: 5:42:06 iter: 35279 total_loss: 1.473 loss_cls: 0.01078 loss_box_reg: 0.02919 loss_rpn_cls: 0.003387 loss_rpn_loc: 0.001662 loss_D_img_s: 0.7223 loss_cls_pseudo: 0.01368 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002893 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6705 time: 0.9512 last_time: 1.3841 data_time: 0.0149 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 11:06:01] d2.utils.events INFO: eta: 5:41:38 iter: 35299 total_loss: 1.452 loss_cls: 0.01191 loss_box_reg: 0.0263 loss_rpn_cls: 0.003937 loss_rpn_loc: 0.001699 loss_D_img_s: 0.678 loss_cls_pseudo: 0.01065 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6998 time: 0.9515 last_time: 1.3578 data_time: 0.0173 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 11:06:29] d2.utils.events INFO: eta: 5:41:13 iter: 35319 total_loss: 1.467 loss_cls: 0.0127 loss_box_reg: 0.02313 loss_rpn_cls: 0.00391 loss_rpn_loc: 0.001557 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.01462 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003041 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6961 time: 0.9517 last_time: 1.4830 data_time: 0.0159 last_data_time: 0.0137 lr: 0.01 max_mem: 20425M +[03/21 11:06:58] d2.utils.events INFO: eta: 5:40:45 iter: 35339 total_loss: 1.437 loss_cls: 0.009094 loss_box_reg: 0.02038 loss_rpn_cls: 0.002268 loss_rpn_loc: 0.001613 loss_D_img_s: 0.7042 loss_cls_pseudo: 0.005321 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00208 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6828 time: 0.9520 last_time: 1.4258 data_time: 0.0208 last_data_time: 0.0141 lr: 0.01 max_mem: 20425M +[03/21 11:07:26] d2.utils.events INFO: eta: 5:40:28 iter: 35359 total_loss: 1.449 loss_cls: 0.009566 loss_box_reg: 0.02591 loss_rpn_cls: 0.004159 loss_rpn_loc: 0.001682 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.01142 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.685 time: 0.9523 last_time: 1.4470 data_time: 0.0198 last_data_time: 0.0276 lr: 0.01 max_mem: 20425M +[03/21 11:07:55] d2.utils.events INFO: eta: 5:40:15 iter: 35379 total_loss: 1.433 loss_cls: 0.01032 loss_box_reg: 0.02677 loss_rpn_cls: 0.002479 loss_rpn_loc: 0.001471 loss_D_img_s: 0.7052 loss_cls_pseudo: 0.00837 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001723 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6804 time: 0.9525 last_time: 1.3983 data_time: 0.0178 last_data_time: 0.0174 lr: 0.01 max_mem: 20425M +[03/21 11:08:23] d2.utils.events INFO: eta: 5:39:30 iter: 35399 total_loss: 1.428 loss_cls: 0.009463 loss_box_reg: 0.02957 loss_rpn_cls: 0.003148 loss_rpn_loc: 0.00161 loss_D_img_s: 0.6621 loss_cls_pseudo: 0.005684 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7115 time: 0.9528 last_time: 1.3344 data_time: 0.0230 last_data_time: 0.0215 lr: 0.01 max_mem: 20425M +[03/21 11:08:50] d2.utils.events INFO: eta: 5:39:05 iter: 35419 total_loss: 1.449 loss_cls: 0.0122 loss_box_reg: 0.02951 loss_rpn_cls: 0.004171 loss_rpn_loc: 0.002039 loss_D_img_s: 0.6845 loss_cls_pseudo: 0.01189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002185 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7 time: 0.9530 last_time: 1.4368 data_time: 0.0199 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 11:09:19] d2.utils.events INFO: eta: 5:38:51 iter: 35439 total_loss: 1.431 loss_cls: 0.008622 loss_box_reg: 0.0237 loss_rpn_cls: 0.00133 loss_rpn_loc: 0.00178 loss_D_img_s: 0.6911 loss_cls_pseudo: 0.007327 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001615 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 0.9533 last_time: 1.1577 data_time: 0.0194 last_data_time: 0.0192 lr: 0.01 max_mem: 20425M +[03/21 11:09:47] d2.utils.events INFO: eta: 5:38:36 iter: 35459 total_loss: 1.463 loss_cls: 0.01354 loss_box_reg: 0.02839 loss_rpn_cls: 0.004149 loss_rpn_loc: 0.001939 loss_D_img_s: 0.6973 loss_cls_pseudo: 0.009594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001492 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6863 time: 0.9535 last_time: 1.3784 data_time: 0.0186 last_data_time: 0.0135 lr: 0.01 max_mem: 20425M +[03/21 11:10:14] d2.utils.events INFO: eta: 5:37:55 iter: 35479 total_loss: 1.437 loss_cls: 0.01167 loss_box_reg: 0.02347 loss_rpn_cls: 0.00316 loss_rpn_loc: 0.001592 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.01373 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003096 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6824 time: 0.9538 last_time: 1.4440 data_time: 0.0234 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 11:10:41] d2.utils.events INFO: eta: 5:37:08 iter: 35499 total_loss: 1.433 loss_cls: 0.01205 loss_box_reg: 0.0249 loss_rpn_cls: 0.003905 loss_rpn_loc: 0.001625 loss_D_img_s: 0.7 loss_cls_pseudo: 0.009593 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002222 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6694 time: 0.9540 last_time: 1.2934 data_time: 0.0169 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 11:11:09] d2.utils.events INFO: eta: 5:36:34 iter: 35519 total_loss: 1.454 loss_cls: 0.01018 loss_box_reg: 0.02833 loss_rpn_cls: 0.001931 loss_rpn_loc: 0.001389 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.01696 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003457 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7052 time: 0.9542 last_time: 1.5423 data_time: 0.0190 last_data_time: 0.0149 lr: 0.01 max_mem: 20425M +[03/21 11:11:37] d2.utils.events INFO: eta: 5:36:24 iter: 35539 total_loss: 1.442 loss_cls: 0.009528 loss_box_reg: 0.02699 loss_rpn_cls: 0.00367 loss_rpn_loc: 0.001792 loss_D_img_s: 0.6848 loss_cls_pseudo: 0.01218 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002164 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 0.9545 last_time: 1.2586 data_time: 0.0183 last_data_time: 0.0203 lr: 0.01 max_mem: 20425M +[03/21 11:12:05] d2.utils.events INFO: eta: 5:35:44 iter: 35559 total_loss: 1.447 loss_cls: 0.01196 loss_box_reg: 0.02339 loss_rpn_cls: 0.004144 loss_rpn_loc: 0.001398 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.009508 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002346 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.676 time: 0.9548 last_time: 1.5094 data_time: 0.0169 last_data_time: 0.0139 lr: 0.01 max_mem: 20425M +[03/21 11:12:34] d2.utils.events INFO: eta: 5:35:36 iter: 35579 total_loss: 1.463 loss_cls: 0.01667 loss_box_reg: 0.03219 loss_rpn_cls: 0.00429 loss_rpn_loc: 0.0019 loss_D_img_s: 0.7092 loss_cls_pseudo: 0.01093 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6821 time: 0.9550 last_time: 1.4727 data_time: 0.0164 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 11:13:02] d2.utils.events INFO: eta: 5:34:58 iter: 35599 total_loss: 1.446 loss_cls: 0.01208 loss_box_reg: 0.02805 loss_rpn_cls: 0.003323 loss_rpn_loc: 0.001412 loss_D_img_s: 0.699 loss_cls_pseudo: 0.0152 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6765 time: 0.9553 last_time: 1.4046 data_time: 0.0142 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 11:13:31] d2.utils.events INFO: eta: 5:34:26 iter: 35619 total_loss: 1.453 loss_cls: 0.01021 loss_box_reg: 0.02845 loss_rpn_cls: 0.003842 loss_rpn_loc: 0.001708 loss_D_img_s: 0.6967 loss_cls_pseudo: 0.005991 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001321 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 0.9555 last_time: 1.4235 data_time: 0.0218 last_data_time: 0.0122 lr: 0.01 max_mem: 20425M +[03/21 11:13:58] d2.utils.events INFO: eta: 5:33:44 iter: 35639 total_loss: 1.442 loss_cls: 0.009214 loss_box_reg: 0.02582 loss_rpn_cls: 0.003431 loss_rpn_loc: 0.001605 loss_D_img_s: 0.6758 loss_cls_pseudo: 0.01531 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002989 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7092 time: 0.9558 last_time: 1.4797 data_time: 0.0184 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 11:14:26] d2.utils.events INFO: eta: 5:33:21 iter: 35659 total_loss: 1.438 loss_cls: 0.009533 loss_box_reg: 0.02129 loss_rpn_cls: 0.004443 loss_rpn_loc: 0.001391 loss_D_img_s: 0.6787 loss_cls_pseudo: 0.01146 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004843 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7028 time: 0.9560 last_time: 1.4632 data_time: 0.0169 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 11:14:54] d2.utils.events INFO: eta: 5:32:48 iter: 35679 total_loss: 1.456 loss_cls: 0.01332 loss_box_reg: 0.0354 loss_rpn_cls: 0.003186 loss_rpn_loc: 0.001876 loss_D_img_s: 0.7125 loss_cls_pseudo: 0.01221 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003094 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6634 time: 0.9563 last_time: 1.5047 data_time: 0.0178 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 11:15:22] d2.utils.events INFO: eta: 5:32:23 iter: 35699 total_loss: 1.437 loss_cls: 0.009265 loss_box_reg: 0.02125 loss_rpn_cls: 0.002035 loss_rpn_loc: 0.001732 loss_D_img_s: 0.6902 loss_cls_pseudo: 0.008483 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001993 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 0.9565 last_time: 1.4938 data_time: 0.0243 last_data_time: 0.0342 lr: 0.01 max_mem: 20425M +[03/21 11:15:50] d2.utils.events INFO: eta: 5:31:58 iter: 35719 total_loss: 1.447 loss_cls: 0.01477 loss_box_reg: 0.02713 loss_rpn_cls: 0.00673 loss_rpn_loc: 0.001896 loss_D_img_s: 0.697 loss_cls_pseudo: 0.009829 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001593 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 0.9568 last_time: 1.4306 data_time: 0.0212 last_data_time: 0.0203 lr: 0.01 max_mem: 20425M +[03/21 11:16:18] d2.utils.events INFO: eta: 5:31:32 iter: 35739 total_loss: 1.446 loss_cls: 0.01333 loss_box_reg: 0.02688 loss_rpn_cls: 0.004004 loss_rpn_loc: 0.001821 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.007491 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001869 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 0.9570 last_time: 1.4212 data_time: 0.0181 last_data_time: 0.0153 lr: 0.01 max_mem: 20425M +[03/21 11:16:46] d2.utils.events INFO: eta: 5:31:46 iter: 35759 total_loss: 1.433 loss_cls: 0.009623 loss_box_reg: 0.02691 loss_rpn_cls: 0.002162 loss_rpn_loc: 0.001529 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.009119 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00259 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 0.9573 last_time: 1.4201 data_time: 0.0174 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 11:17:14] d2.utils.events INFO: eta: 5:31:20 iter: 35779 total_loss: 1.451 loss_cls: 0.01141 loss_box_reg: 0.03244 loss_rpn_cls: 0.003853 loss_rpn_loc: 0.001431 loss_D_img_s: 0.6752 loss_cls_pseudo: 0.01211 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002514 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7045 time: 0.9575 last_time: 1.4458 data_time: 0.0151 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 11:17:43] d2.utils.events INFO: eta: 5:30:57 iter: 35799 total_loss: 1.458 loss_cls: 0.00834 loss_box_reg: 0.0308 loss_rpn_cls: 0.003065 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.01299 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002913 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.9578 last_time: 1.4311 data_time: 0.0145 last_data_time: 0.0134 lr: 0.01 max_mem: 20425M +[03/21 11:18:10] d2.utils.events INFO: eta: 5:30:24 iter: 35819 total_loss: 1.434 loss_cls: 0.01015 loss_box_reg: 0.0226 loss_rpn_cls: 0.002532 loss_rpn_loc: 0.001757 loss_D_img_s: 0.6833 loss_cls_pseudo: 0.008412 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001399 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6813 time: 0.9580 last_time: 1.5407 data_time: 0.0220 last_data_time: 0.0346 lr: 0.01 max_mem: 20425M +[03/21 11:18:39] d2.utils.events INFO: eta: 5:30:11 iter: 35839 total_loss: 1.444 loss_cls: 0.008933 loss_box_reg: 0.02707 loss_rpn_cls: 0.002856 loss_rpn_loc: 0.002113 loss_D_img_s: 0.6985 loss_cls_pseudo: 0.006747 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 0.9583 last_time: 1.4048 data_time: 0.0167 last_data_time: 0.0127 lr: 0.01 max_mem: 20425M +[03/21 11:19:06] d2.utils.events INFO: eta: 5:29:43 iter: 35859 total_loss: 1.45 loss_cls: 0.008665 loss_box_reg: 0.02165 loss_rpn_cls: 0.002508 loss_rpn_loc: 0.001453 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.009707 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004796 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 0.9585 last_time: 1.4108 data_time: 0.0214 last_data_time: 0.0323 lr: 0.01 max_mem: 20425M +[03/21 11:19:35] d2.utils.events INFO: eta: 5:29:19 iter: 35879 total_loss: 1.445 loss_cls: 0.01071 loss_box_reg: 0.02603 loss_rpn_cls: 0.002388 loss_rpn_loc: 0.001643 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.01364 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004052 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6821 time: 0.9588 last_time: 1.4950 data_time: 0.0194 last_data_time: 0.0148 lr: 0.01 max_mem: 20425M +[03/21 11:20:03] d2.utils.events INFO: eta: 5:28:59 iter: 35899 total_loss: 1.429 loss_cls: 0.01105 loss_box_reg: 0.02461 loss_rpn_cls: 0.004337 loss_rpn_loc: 0.001835 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.00573 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002285 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 0.9590 last_time: 1.4856 data_time: 0.0192 last_data_time: 0.0327 lr: 0.01 max_mem: 20425M +[03/21 11:20:31] d2.utils.events INFO: eta: 5:28:50 iter: 35919 total_loss: 1.44 loss_cls: 0.01078 loss_box_reg: 0.02541 loss_rpn_cls: 0.002571 loss_rpn_loc: 0.00154 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.01207 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002445 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6813 time: 0.9593 last_time: 1.4824 data_time: 0.0208 last_data_time: 0.0148 lr: 0.01 max_mem: 20425M +[03/21 11:20:59] d2.utils.events INFO: eta: 5:28:05 iter: 35939 total_loss: 1.444 loss_cls: 0.009015 loss_box_reg: 0.02143 loss_rpn_cls: 0.00285 loss_rpn_loc: 0.001984 loss_D_img_s: 0.6794 loss_cls_pseudo: 0.005494 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002753 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7007 time: 0.9595 last_time: 1.3585 data_time: 0.0183 last_data_time: 0.0205 lr: 0.01 max_mem: 20425M +[03/21 11:21:27] d2.utils.events INFO: eta: 5:27:34 iter: 35959 total_loss: 1.441 loss_cls: 0.01128 loss_box_reg: 0.02613 loss_rpn_cls: 0.004381 loss_rpn_loc: 0.001923 loss_D_img_s: 0.6751 loss_cls_pseudo: 0.01298 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002966 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7088 time: 0.9597 last_time: 1.3416 data_time: 0.0182 last_data_time: 0.0092 lr: 0.01 max_mem: 20425M +[03/21 11:21:56] d2.utils.events INFO: eta: 5:27:13 iter: 35979 total_loss: 1.449 loss_cls: 0.01091 loss_box_reg: 0.02702 loss_rpn_cls: 0.002163 loss_rpn_loc: 0.001645 loss_D_img_s: 0.6969 loss_cls_pseudo: 0.01574 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002528 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 0.9600 last_time: 1.4075 data_time: 0.0149 last_data_time: 0.0287 lr: 0.01 max_mem: 20425M +[03/21 11:22:25] d2.data.common INFO: Serializing the dataset using: +[03/21 11:22:25] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 11:22:25] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 11:22:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 11:22:25] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 11:22:27] d2.evaluation.evaluator INFO: Inference done 11/993. Dataloading: 0.0829 s/iter. Inference: 0.0738 s/iter. Eval: 0.0002 s/iter. Total: 0.1569 s/iter. ETA=0:02:34 +[03/21 11:22:32] d2.evaluation.evaluator INFO: Inference done 48/993. Dataloading: 0.0700 s/iter. Inference: 0.0715 s/iter. Eval: 0.0003 s/iter. Total: 0.1418 s/iter. ETA=0:02:14 +[03/21 11:22:38] d2.evaluation.evaluator INFO: Inference done 87/993. Dataloading: 0.0634 s/iter. Inference: 0.0750 s/iter. Eval: 0.0003 s/iter. Total: 0.1388 s/iter. ETA=0:02:05 +[03/21 11:22:43] d2.evaluation.evaluator INFO: Inference done 129/993. Dataloading: 0.0596 s/iter. Inference: 0.0742 s/iter. Eval: 0.0003 s/iter. Total: 0.1342 s/iter. ETA=0:01:55 +[03/21 11:22:48] d2.evaluation.evaluator INFO: Inference done 168/993. Dataloading: 0.0575 s/iter. Inference: 0.0753 s/iter. Eval: 0.0002 s/iter. Total: 0.1332 s/iter. ETA=0:01:49 +[03/21 11:22:53] d2.evaluation.evaluator INFO: Inference done 209/993. Dataloading: 0.0569 s/iter. Inference: 0.0738 s/iter. Eval: 0.0002 s/iter. Total: 0.1311 s/iter. 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ETA=0:00:01 +[03/21 11:24:36] d2.evaluation.evaluator INFO: Total inference time: 0:02:09.780387 (0.131357 s / iter per device, on 1 devices) +[03/21 11:24:36] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074196 s / iter per device, on 1 devices) +[03/21 11:24:36] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 11:24:36] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 11:24:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 11:24:36] d2.evaluation.testing INFO: copypaste: 0.2775,0.7666,0.0000 +[03/21 11:24:37] d2.data.common INFO: Serializing the dataset using: +[03/21 11:24:37] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 11:24:37] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 11:24:37] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 11:24:37] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 11:24:40] d2.evaluation.evaluator INFO: Inference done 17/993. 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ETA=0:00:04 +[03/21 11:26:46] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.916239 (0.129470 s / iter per device, on 1 devices) +[03/21 11:26:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072610 s / iter per device, on 1 devices) +[03/21 11:26:46] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 11:26:46] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 11:26:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 11:26:46] d2.evaluation.testing INFO: copypaste: 0.6042,3.6295,0.0890 +[03/21 11:26:46] d2.utils.events INFO: eta: 5:27:04 iter: 35999 total_loss: 1.431 loss_cls: 0.008068 loss_box_reg: 0.02425 loss_rpn_cls: 0.002346 loss_rpn_loc: 0.00121 loss_D_img_s: 0.689 loss_cls_pseudo: 0.005929 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001359 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 0.9603 last_time: 1.4862 data_time: 0.0205 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 11:27:12] d2.utils.events INFO: eta: 5:26:23 iter: 36019 total_loss: 1.459 loss_cls: 0.009935 loss_box_reg: 0.02506 loss_rpn_cls: 0.002813 loss_rpn_loc: 0.001608 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.01447 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00321 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 0.9605 last_time: 1.2643 data_time: 0.0179 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 11:27:39] d2.utils.events INFO: eta: 5:25:49 iter: 36039 total_loss: 1.458 loss_cls: 0.01152 loss_box_reg: 0.02973 loss_rpn_cls: 0.002929 loss_rpn_loc: 0.001827 loss_D_img_s: 0.7009 loss_cls_pseudo: 0.01 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001854 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6851 time: 0.9607 last_time: 1.4766 data_time: 0.0254 last_data_time: 0.0347 lr: 0.01 max_mem: 20425M +[03/21 11:28:06] d2.utils.events INFO: eta: 5:25:15 iter: 36059 total_loss: 1.427 loss_cls: 0.01167 loss_box_reg: 0.02355 loss_rpn_cls: 0.002138 loss_rpn_loc: 0.001603 loss_D_img_s: 0.6984 loss_cls_pseudo: 0.006195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001595 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6766 time: 0.9609 last_time: 1.3695 data_time: 0.0228 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 11:28:33] d2.utils.events INFO: eta: 5:24:53 iter: 36079 total_loss: 1.45 loss_cls: 0.01265 loss_box_reg: 0.03063 loss_rpn_cls: 0.003968 loss_rpn_loc: 0.001753 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.0105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003029 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 0.9611 last_time: 1.4147 data_time: 0.0213 last_data_time: 0.0260 lr: 0.01 max_mem: 20425M +[03/21 11:29:01] d2.utils.events INFO: eta: 5:24:40 iter: 36099 total_loss: 1.441 loss_cls: 0.008028 loss_box_reg: 0.0279 loss_rpn_cls: 0.003299 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6911 loss_cls_pseudo: 0.01131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003331 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6862 time: 0.9614 last_time: 1.2242 data_time: 0.0249 last_data_time: 0.0177 lr: 0.01 max_mem: 20425M +[03/21 11:29:29] d2.utils.events INFO: eta: 5:24:20 iter: 36119 total_loss: 1.434 loss_cls: 0.01097 loss_box_reg: 0.02652 loss_rpn_cls: 0.002456 loss_rpn_loc: 0.001775 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.007165 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002738 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.681 time: 0.9616 last_time: 1.5594 data_time: 0.0240 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 11:29:57] d2.utils.events INFO: eta: 5:23:48 iter: 36139 total_loss: 1.457 loss_cls: 0.01286 loss_box_reg: 0.02769 loss_rpn_cls: 0.004455 loss_rpn_loc: 0.00181 loss_D_img_s: 0.695 loss_cls_pseudo: 0.0135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0022 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.683 time: 0.9618 last_time: 1.2989 data_time: 0.0241 last_data_time: 0.0266 lr: 0.01 max_mem: 20425M +[03/21 11:30:25] d2.utils.events INFO: eta: 5:23:16 iter: 36159 total_loss: 1.445 loss_cls: 0.01089 loss_box_reg: 0.03301 loss_rpn_cls: 0.001873 loss_rpn_loc: 0.001395 loss_D_img_s: 0.7138 loss_cls_pseudo: 0.006223 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001502 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.666 time: 0.9621 last_time: 1.2996 data_time: 0.0189 last_data_time: 0.0324 lr: 0.01 max_mem: 20425M +[03/21 11:30:54] d2.utils.events INFO: eta: 5:22:56 iter: 36179 total_loss: 1.424 loss_cls: 0.01303 loss_box_reg: 0.02862 loss_rpn_cls: 0.003446 loss_rpn_loc: 0.00186 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.008363 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002161 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6821 time: 0.9623 last_time: 1.3855 data_time: 0.0200 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 11:31:22] d2.utils.events INFO: eta: 5:22:45 iter: 36199 total_loss: 1.454 loss_cls: 0.009276 loss_box_reg: 0.02422 loss_rpn_cls: 0.002687 loss_rpn_loc: 0.001632 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.01285 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004124 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 0.9626 last_time: 1.4810 data_time: 0.0237 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 11:31:50] d2.utils.events INFO: eta: 5:22:25 iter: 36219 total_loss: 1.444 loss_cls: 0.01321 loss_box_reg: 0.02594 loss_rpn_cls: 0.002402 loss_rpn_loc: 0.001948 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.01235 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003385 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.683 time: 0.9628 last_time: 1.2964 data_time: 0.0226 last_data_time: 0.0151 lr: 0.01 max_mem: 20425M +[03/21 11:32:19] d2.utils.events INFO: eta: 5:22:21 iter: 36239 total_loss: 1.459 loss_cls: 0.01299 loss_box_reg: 0.02497 loss_rpn_cls: 0.002712 loss_rpn_loc: 0.001343 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.01529 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006744 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.684 time: 0.9631 last_time: 1.3965 data_time: 0.0205 last_data_time: 0.0173 lr: 0.01 max_mem: 20425M +[03/21 11:32:47] d2.utils.events INFO: eta: 5:22:16 iter: 36259 total_loss: 1.439 loss_cls: 0.008736 loss_box_reg: 0.02188 loss_rpn_cls: 0.003009 loss_rpn_loc: 0.001642 loss_D_img_s: 0.7056 loss_cls_pseudo: 0.01103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001882 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6766 time: 0.9634 last_time: 1.4389 data_time: 0.0226 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 11:33:15] d2.utils.events INFO: eta: 5:21:36 iter: 36279 total_loss: 1.443 loss_cls: 0.01024 loss_box_reg: 0.02711 loss_rpn_cls: 0.003667 loss_rpn_loc: 0.001357 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.009058 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002873 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6813 time: 0.9636 last_time: 1.3437 data_time: 0.0254 last_data_time: 0.0122 lr: 0.01 max_mem: 20425M +[03/21 11:33:44] d2.utils.events INFO: eta: 5:21:22 iter: 36299 total_loss: 1.458 loss_cls: 0.009949 loss_box_reg: 0.02478 loss_rpn_cls: 0.004514 loss_rpn_loc: 0.001497 loss_D_img_s: 0.6744 loss_cls_pseudo: 0.01017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003233 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7051 time: 0.9639 last_time: 1.4535 data_time: 0.0193 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 11:34:13] d2.utils.events INFO: eta: 5:20:55 iter: 36319 total_loss: 1.449 loss_cls: 0.009034 loss_box_reg: 0.0238 loss_rpn_cls: 0.00319 loss_rpn_loc: 0.001573 loss_D_img_s: 0.7093 loss_cls_pseudo: 0.01029 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003172 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6777 time: 0.9641 last_time: 1.5952 data_time: 0.0210 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 11:34:41] d2.utils.events INFO: eta: 5:20:31 iter: 36339 total_loss: 1.442 loss_cls: 0.01059 loss_box_reg: 0.03244 loss_rpn_cls: 0.003045 loss_rpn_loc: 0.001744 loss_D_img_s: 0.704 loss_cls_pseudo: 0.00835 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00335 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 0.9644 last_time: 1.4452 data_time: 0.0171 last_data_time: 0.0406 lr: 0.01 max_mem: 20425M +[03/21 11:35:09] d2.utils.events INFO: eta: 5:19:35 iter: 36359 total_loss: 1.441 loss_cls: 0.01024 loss_box_reg: 0.02625 loss_rpn_cls: 0.003924 loss_rpn_loc: 0.001646 loss_D_img_s: 0.6858 loss_cls_pseudo: 0.008696 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002208 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6988 time: 0.9646 last_time: 1.4116 data_time: 0.0244 last_data_time: 0.0305 lr: 0.01 max_mem: 20425M +[03/21 11:35:36] d2.utils.events INFO: eta: 5:19:02 iter: 36379 total_loss: 1.448 loss_cls: 0.009752 loss_box_reg: 0.02945 loss_rpn_cls: 0.002992 loss_rpn_loc: 0.001885 loss_D_img_s: 0.7014 loss_cls_pseudo: 0.01125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002515 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 0.9648 last_time: 1.4285 data_time: 0.0269 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 11:36:04] d2.utils.events INFO: eta: 5:18:39 iter: 36399 total_loss: 1.444 loss_cls: 0.01156 loss_box_reg: 0.02384 loss_rpn_cls: 0.002306 loss_rpn_loc: 0.001628 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.01025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001783 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7016 time: 0.9650 last_time: 1.3632 data_time: 0.0178 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 11:36:32] d2.utils.events INFO: eta: 5:18:19 iter: 36419 total_loss: 1.458 loss_cls: 0.01249 loss_box_reg: 0.0277 loss_rpn_cls: 0.003884 loss_rpn_loc: 0.001914 loss_D_img_s: 0.6857 loss_cls_pseudo: 0.0113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002773 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6892 time: 0.9653 last_time: 1.5489 data_time: 0.0211 last_data_time: 0.0355 lr: 0.01 max_mem: 20425M +[03/21 11:37:02] d2.utils.events INFO: eta: 5:18:06 iter: 36439 total_loss: 1.433 loss_cls: 0.01258 loss_box_reg: 0.026 loss_rpn_cls: 0.003873 loss_rpn_loc: 0.001641 loss_D_img_s: 0.6982 loss_cls_pseudo: 0.004131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001483 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 0.9656 last_time: 1.5196 data_time: 0.0237 last_data_time: 0.0374 lr: 0.01 max_mem: 20425M +[03/21 11:37:31] d2.utils.events INFO: eta: 5:17:42 iter: 36459 total_loss: 1.438 loss_cls: 0.01088 loss_box_reg: 0.025 loss_rpn_cls: 0.00264 loss_rpn_loc: 0.001621 loss_D_img_s: 0.7015 loss_cls_pseudo: 0.008906 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001427 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6779 time: 0.9658 last_time: 1.4632 data_time: 0.0215 last_data_time: 0.0268 lr: 0.01 max_mem: 20425M +[03/21 11:37:59] d2.utils.events INFO: eta: 5:17:39 iter: 36479 total_loss: 1.437 loss_cls: 0.008376 loss_box_reg: 0.02651 loss_rpn_cls: 0.002457 loss_rpn_loc: 0.001652 loss_D_img_s: 0.6966 loss_cls_pseudo: 0.01167 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002272 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6816 time: 0.9661 last_time: 1.3929 data_time: 0.0193 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 11:38:27] d2.utils.events INFO: eta: 5:17:23 iter: 36499 total_loss: 1.43 loss_cls: 0.01312 loss_box_reg: 0.02341 loss_rpn_cls: 0.004196 loss_rpn_loc: 0.001836 loss_D_img_s: 0.6862 loss_cls_pseudo: 0.006443 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003051 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6811 time: 0.9663 last_time: 1.4081 data_time: 0.0164 last_data_time: 0.0140 lr: 0.01 max_mem: 20425M +[03/21 11:38:54] d2.utils.events INFO: eta: 5:16:57 iter: 36519 total_loss: 1.438 loss_cls: 0.01226 loss_box_reg: 0.03017 loss_rpn_cls: 0.003516 loss_rpn_loc: 0.001651 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.007097 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001845 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6782 time: 0.9665 last_time: 1.3782 data_time: 0.0201 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 11:39:23] d2.utils.events INFO: eta: 5:16:28 iter: 36539 total_loss: 1.457 loss_cls: 0.01258 loss_box_reg: 0.02781 loss_rpn_cls: 0.004135 loss_rpn_loc: 0.001802 loss_D_img_s: 0.6811 loss_cls_pseudo: 0.01409 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003039 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7118 time: 0.9668 last_time: 1.3761 data_time: 0.0225 last_data_time: 0.0212 lr: 0.01 max_mem: 20425M +[03/21 11:39:52] d2.utils.events INFO: eta: 5:16:00 iter: 36559 total_loss: 1.458 loss_cls: 0.01229 loss_box_reg: 0.02408 loss_rpn_cls: 0.003938 loss_rpn_loc: 0.001544 loss_D_img_s: 0.6987 loss_cls_pseudo: 0.009573 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001516 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 0.9670 last_time: 1.4062 data_time: 0.0183 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 11:40:20] d2.utils.events INFO: eta: 5:15:31 iter: 36579 total_loss: 1.448 loss_cls: 0.009714 loss_box_reg: 0.03191 loss_rpn_cls: 0.002128 loss_rpn_loc: 0.001441 loss_D_img_s: 0.6993 loss_cls_pseudo: 0.009604 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001648 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 0.9673 last_time: 1.4149 data_time: 0.0195 last_data_time: 0.0259 lr: 0.01 max_mem: 20425M +[03/21 11:40:48] d2.utils.events INFO: eta: 5:15:04 iter: 36599 total_loss: 1.442 loss_cls: 0.01002 loss_box_reg: 0.02235 loss_rpn_cls: 0.003376 loss_rpn_loc: 0.00177 loss_D_img_s: 0.7076 loss_cls_pseudo: 0.005617 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0017 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.658 time: 0.9675 last_time: 1.4191 data_time: 0.0174 last_data_time: 0.0168 lr: 0.01 max_mem: 20425M +[03/21 11:41:17] d2.utils.events INFO: eta: 5:14:36 iter: 36619 total_loss: 1.456 loss_cls: 0.01195 loss_box_reg: 0.02308 loss_rpn_cls: 0.004255 loss_rpn_loc: 0.00188 loss_D_img_s: 0.6545 loss_cls_pseudo: 0.01101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.006972 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7467 time: 0.9678 last_time: 1.2409 data_time: 0.0142 last_data_time: 0.0204 lr: 0.01 max_mem: 20425M +[03/21 11:41:45] d2.utils.events INFO: eta: 5:14:19 iter: 36639 total_loss: 1.437 loss_cls: 0.008106 loss_box_reg: 0.02215 loss_rpn_cls: 0.001898 loss_rpn_loc: 0.001588 loss_D_img_s: 0.7054 loss_cls_pseudo: 0.01278 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005423 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6691 time: 0.9680 last_time: 1.2672 data_time: 0.0244 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 11:42:13] d2.utils.events INFO: eta: 5:13:51 iter: 36659 total_loss: 1.43 loss_cls: 0.01082 loss_box_reg: 0.02515 loss_rpn_cls: 0.003235 loss_rpn_loc: 0.00145 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.006686 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001563 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 0.9683 last_time: 1.2855 data_time: 0.0188 last_data_time: 0.0158 lr: 0.01 max_mem: 20425M +[03/21 11:42:41] d2.utils.events INFO: eta: 5:13:11 iter: 36679 total_loss: 1.458 loss_cls: 0.009511 loss_box_reg: 0.02426 loss_rpn_cls: 0.002729 loss_rpn_loc: 0.001574 loss_D_img_s: 0.6608 loss_cls_pseudo: 0.01172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.008477 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7244 time: 0.9685 last_time: 1.4129 data_time: 0.0226 last_data_time: 0.0167 lr: 0.01 max_mem: 20425M +[03/21 11:43:08] d2.utils.events INFO: eta: 5:12:41 iter: 36699 total_loss: 1.44 loss_cls: 0.01197 loss_box_reg: 0.02992 loss_rpn_cls: 0.002553 loss_rpn_loc: 0.001508 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.0104 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 0.9687 last_time: 1.2782 data_time: 0.0225 last_data_time: 0.0499 lr: 0.01 max_mem: 20425M +[03/21 11:43:37] d2.utils.events INFO: eta: 5:12:11 iter: 36719 total_loss: 1.45 loss_cls: 0.01273 loss_box_reg: 0.03169 loss_rpn_cls: 0.00326 loss_rpn_loc: 0.001931 loss_D_img_s: 0.7011 loss_cls_pseudo: 0.01208 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001764 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6813 time: 0.9690 last_time: 1.4468 data_time: 0.0167 last_data_time: 0.0144 lr: 0.01 max_mem: 20425M +[03/21 11:44:05] d2.utils.events INFO: eta: 5:11:46 iter: 36739 total_loss: 1.452 loss_cls: 0.01083 loss_box_reg: 0.02574 loss_rpn_cls: 0.002477 loss_rpn_loc: 0.001627 loss_D_img_s: 0.6767 loss_cls_pseudo: 0.009177 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003529 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7044 time: 0.9692 last_time: 1.3525 data_time: 0.0240 last_data_time: 0.0340 lr: 0.01 max_mem: 20425M +[03/21 11:44:34] d2.utils.events INFO: eta: 5:11:09 iter: 36759 total_loss: 1.448 loss_cls: 0.01114 loss_box_reg: 0.02779 loss_rpn_cls: 0.004459 loss_rpn_loc: 0.001928 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.008558 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002205 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 0.9695 last_time: 1.5074 data_time: 0.0172 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 11:45:01] d2.utils.events INFO: eta: 5:10:46 iter: 36779 total_loss: 1.462 loss_cls: 0.01014 loss_box_reg: 0.0267 loss_rpn_cls: 0.003261 loss_rpn_loc: 0.001979 loss_D_img_s: 0.7066 loss_cls_pseudo: 0.01281 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002067 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.9697 last_time: 1.5052 data_time: 0.0195 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 11:45:30] d2.utils.events INFO: eta: 5:10:14 iter: 36799 total_loss: 1.447 loss_cls: 0.01309 loss_box_reg: 0.02457 loss_rpn_cls: 0.004596 loss_rpn_loc: 0.00169 loss_D_img_s: 0.6911 loss_cls_pseudo: 0.01279 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00374 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6954 time: 0.9699 last_time: 1.4100 data_time: 0.0165 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 11:45:59] d2.utils.events INFO: eta: 5:10:06 iter: 36819 total_loss: 1.433 loss_cls: 0.01118 loss_box_reg: 0.02828 loss_rpn_cls: 0.004094 loss_rpn_loc: 0.001918 loss_D_img_s: 0.7063 loss_cls_pseudo: 0.00673 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001553 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6739 time: 0.9702 last_time: 1.5044 data_time: 0.0232 last_data_time: 0.0168 lr: 0.01 max_mem: 20425M +[03/21 11:46:27] d2.utils.events INFO: eta: 5:09:36 iter: 36839 total_loss: 1.438 loss_cls: 0.009794 loss_box_reg: 0.02144 loss_rpn_cls: 0.004042 loss_rpn_loc: 0.001691 loss_D_img_s: 0.6886 loss_cls_pseudo: 0.006147 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001092 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6945 time: 0.9704 last_time: 1.4835 data_time: 0.0201 last_data_time: 0.0142 lr: 0.01 max_mem: 20425M +[03/21 11:46:56] d2.utils.events INFO: eta: 5:09:11 iter: 36859 total_loss: 1.444 loss_cls: 0.009363 loss_box_reg: 0.02567 loss_rpn_cls: 0.002285 loss_rpn_loc: 0.001785 loss_D_img_s: 0.722 loss_cls_pseudo: 0.009296 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001461 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6605 time: 0.9707 last_time: 1.4055 data_time: 0.0247 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 11:47:23] d2.utils.events INFO: eta: 5:08:31 iter: 36879 total_loss: 1.433 loss_cls: 0.008542 loss_box_reg: 0.02357 loss_rpn_cls: 0.004045 loss_rpn_loc: 0.001688 loss_D_img_s: 0.6824 loss_cls_pseudo: 0.006001 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001142 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 0.9709 last_time: 1.3735 data_time: 0.0171 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 11:47:51] d2.utils.events INFO: eta: 5:08:11 iter: 36899 total_loss: 1.448 loss_cls: 0.01069 loss_box_reg: 0.02743 loss_rpn_cls: 0.003437 loss_rpn_loc: 0.002568 loss_D_img_s: 0.6686 loss_cls_pseudo: 0.007891 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001122 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7145 time: 0.9711 last_time: 1.3902 data_time: 0.0188 last_data_time: 0.0259 lr: 0.01 max_mem: 20425M +[03/21 11:48:18] d2.utils.events INFO: eta: 5:07:31 iter: 36919 total_loss: 1.447 loss_cls: 0.0135 loss_box_reg: 0.02569 loss_rpn_cls: 0.003991 loss_rpn_loc: 0.002058 loss_D_img_s: 0.7031 loss_cls_pseudo: 0.01069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005174 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6864 time: 0.9713 last_time: 1.3996 data_time: 0.0211 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 11:48:46] d2.utils.events INFO: eta: 5:07:04 iter: 36939 total_loss: 1.443 loss_cls: 0.008498 loss_box_reg: 0.03042 loss_rpn_cls: 0.001952 loss_rpn_loc: 0.001533 loss_D_img_s: 0.698 loss_cls_pseudo: 0.007217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002031 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 0.9716 last_time: 1.3294 data_time: 0.0155 last_data_time: 0.0335 lr: 0.01 max_mem: 20425M +[03/21 11:49:14] d2.utils.events INFO: eta: 5:06:47 iter: 36959 total_loss: 1.441 loss_cls: 0.01096 loss_box_reg: 0.02163 loss_rpn_cls: 0.004728 loss_rpn_loc: 0.001611 loss_D_img_s: 0.6977 loss_cls_pseudo: 0.01094 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00303 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6782 time: 0.9718 last_time: 1.4567 data_time: 0.0247 last_data_time: 0.0237 lr: 0.01 max_mem: 20425M +[03/21 11:49:43] d2.utils.events INFO: eta: 5:06:19 iter: 36979 total_loss: 1.447 loss_cls: 0.008569 loss_box_reg: 0.02332 loss_rpn_cls: 0.003607 loss_rpn_loc: 0.00134 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.01235 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002628 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 0.9720 last_time: 1.3181 data_time: 0.0216 last_data_time: 0.0254 lr: 0.01 max_mem: 20425M +[03/21 11:50:11] d2.data.common INFO: Serializing the dataset using: +[03/21 11:50:11] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 11:50:11] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 11:50:11] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 11:50:11] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 11:50:14] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 11:52:21] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.900002 (0.129453 s / iter per device, on 1 devices) +[03/21 11:52:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072816 s / iter per device, on 1 devices) +[03/21 11:52:21] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 11:52:21] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 11:52:21] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 11:52:21] d2.evaluation.testing INFO: copypaste: 0.1346,0.8304,0.0287 +[03/21 11:52:21] d2.data.common INFO: Serializing the dataset using: +[03/21 11:52:21] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 11:52:21] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 11:52:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 11:52:21] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 11:52:26] d2.evaluation.evaluator INFO: Inference done 30/993. 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Total: 0.1278 s/iter. ETA=0:00:15 +[03/21 11:54:18] d2.evaluation.evaluator INFO: Inference done 906/993. Dataloading: 0.0556 s/iter. Inference: 0.0722 s/iter. Eval: 0.0003 s/iter. Total: 0.1283 s/iter. ETA=0:00:11 +[03/21 11:54:23] d2.evaluation.evaluator INFO: Inference done 951/993. Dataloading: 0.0550 s/iter. Inference: 0.0721 s/iter. Eval: 0.0003 s/iter. Total: 0.1276 s/iter. ETA=0:00:05 +[03/21 11:54:28] d2.evaluation.evaluator INFO: Inference done 988/993. Dataloading: 0.0552 s/iter. Inference: 0.0723 s/iter. Eval: 0.0003 s/iter. Total: 0.1279 s/iter. ETA=0:00:00 +[03/21 11:54:29] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.337225 (0.127872 s / iter per device, on 1 devices) +[03/21 11:54:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072245 s / iter per device, on 1 devices) +[03/21 11:54:29] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 11:54:29] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 11:54:29] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 11:54:29] d2.evaluation.testing INFO: copypaste: 0.4548,2.4998,0.0956 +[03/21 11:54:29] d2.utils.events INFO: eta: 5:05:39 iter: 36999 total_loss: 1.448 loss_cls: 0.01195 loss_box_reg: 0.02908 loss_rpn_cls: 0.003443 loss_rpn_loc: 0.001651 loss_D_img_s: 0.7048 loss_cls_pseudo: 0.01216 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007234 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 0.9723 last_time: 1.3415 data_time: 0.0191 last_data_time: 0.0301 lr: 0.01 max_mem: 20425M +[03/21 11:54:56] d2.utils.events INFO: eta: 5:05:10 iter: 37019 total_loss: 1.445 loss_cls: 0.01128 loss_box_reg: 0.02882 loss_rpn_cls: 0.00243 loss_rpn_loc: 0.001626 loss_D_img_s: 0.664 loss_cls_pseudo: 0.007661 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00199 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7234 time: 0.9725 last_time: 1.3790 data_time: 0.0251 last_data_time: 0.0344 lr: 0.01 max_mem: 20425M +[03/21 11:55:23] d2.utils.events INFO: eta: 5:04:46 iter: 37039 total_loss: 1.446 loss_cls: 0.01172 loss_box_reg: 0.02965 loss_rpn_cls: 0.002059 loss_rpn_loc: 0.001602 loss_D_img_s: 0.6515 loss_cls_pseudo: 0.005453 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001159 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7397 time: 0.9727 last_time: 1.4500 data_time: 0.0163 last_data_time: 0.0279 lr: 0.01 max_mem: 20425M +[03/21 11:55:52] d2.utils.events INFO: eta: 5:04:35 iter: 37059 total_loss: 1.452 loss_cls: 0.01243 loss_box_reg: 0.02861 loss_rpn_cls: 0.00411 loss_rpn_loc: 0.001674 loss_D_img_s: 0.651 loss_cls_pseudo: 0.007198 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001697 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7361 time: 0.9729 last_time: 1.5168 data_time: 0.0201 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 11:56:19] d2.utils.events INFO: eta: 5:03:58 iter: 37079 total_loss: 1.455 loss_cls: 0.01106 loss_box_reg: 0.02983 loss_rpn_cls: 0.002824 loss_rpn_loc: 0.001657 loss_D_img_s: 0.71 loss_cls_pseudo: 0.01017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.675 time: 0.9732 last_time: 1.4438 data_time: 0.0186 last_data_time: 0.0337 lr: 0.01 max_mem: 20425M +[03/21 11:56:46] d2.utils.events INFO: eta: 5:03:09 iter: 37099 total_loss: 1.435 loss_cls: 0.007887 loss_box_reg: 0.02856 loss_rpn_cls: 0.001068 loss_rpn_loc: 0.001259 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.006182 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001741 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 0.9734 last_time: 1.2303 data_time: 0.0212 last_data_time: 0.0278 lr: 0.01 max_mem: 20425M +[03/21 11:57:14] d2.utils.events INFO: eta: 5:02:15 iter: 37119 total_loss: 1.432 loss_cls: 0.01021 loss_box_reg: 0.02755 loss_rpn_cls: 0.003497 loss_rpn_loc: 0.001424 loss_D_img_s: 0.7021 loss_cls_pseudo: 0.007734 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001691 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6767 time: 0.9736 last_time: 1.3301 data_time: 0.0214 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 11:57:42] d2.utils.events INFO: eta: 5:02:02 iter: 37139 total_loss: 1.424 loss_cls: 0.008294 loss_box_reg: 0.02462 loss_rpn_cls: 0.004905 loss_rpn_loc: 0.002292 loss_D_img_s: 0.6696 loss_cls_pseudo: 0.006273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001854 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 0.9738 last_time: 1.5927 data_time: 0.0168 last_data_time: 0.0329 lr: 0.01 max_mem: 20425M +[03/21 11:58:10] d2.utils.events INFO: eta: 5:01:29 iter: 37159 total_loss: 1.421 loss_cls: 0.007523 loss_box_reg: 0.02282 loss_rpn_cls: 0.001901 loss_rpn_loc: 0.001544 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.006916 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.682 time: 0.9740 last_time: 1.4816 data_time: 0.0202 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 11:58:38] d2.utils.events INFO: eta: 5:00:51 iter: 37179 total_loss: 1.442 loss_cls: 0.008943 loss_box_reg: 0.02004 loss_rpn_cls: 0.003662 loss_rpn_loc: 0.001456 loss_D_img_s: 0.6666 loss_cls_pseudo: 0.01254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003892 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 0.9743 last_time: 1.4950 data_time: 0.0242 last_data_time: 0.0361 lr: 0.01 max_mem: 20425M +[03/21 11:59:05] d2.utils.events INFO: eta: 5:00:21 iter: 37199 total_loss: 1.461 loss_cls: 0.01153 loss_box_reg: 0.02535 loss_rpn_cls: 0.003071 loss_rpn_loc: 0.002103 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.007534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00223 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6832 time: 0.9745 last_time: 1.4517 data_time: 0.0168 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 11:59:34] d2.utils.events INFO: eta: 4:59:58 iter: 37219 total_loss: 1.448 loss_cls: 0.009622 loss_box_reg: 0.02582 loss_rpn_cls: 0.001256 loss_rpn_loc: 0.001413 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.01032 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002058 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 0.9747 last_time: 1.2397 data_time: 0.0145 last_data_time: 0.0107 lr: 0.01 max_mem: 20425M +[03/21 12:00:02] d2.utils.events INFO: eta: 4:59:20 iter: 37239 total_loss: 1.442 loss_cls: 0.009521 loss_box_reg: 0.0258 loss_rpn_cls: 0.004409 loss_rpn_loc: 0.001623 loss_D_img_s: 0.6878 loss_cls_pseudo: 0.01066 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004333 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6901 time: 0.9750 last_time: 1.3097 data_time: 0.0156 last_data_time: 0.0272 lr: 0.01 max_mem: 20425M +[03/21 12:00:31] d2.utils.events INFO: eta: 4:58:51 iter: 37259 total_loss: 1.439 loss_cls: 0.0108 loss_box_reg: 0.02589 loss_rpn_cls: 0.003875 loss_rpn_loc: 0.001655 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.007062 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003059 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 0.9752 last_time: 1.4706 data_time: 0.0194 last_data_time: 0.0189 lr: 0.01 max_mem: 20425M +[03/21 12:00:58] d2.utils.events INFO: eta: 4:58:23 iter: 37279 total_loss: 1.441 loss_cls: 0.01217 loss_box_reg: 0.02933 loss_rpn_cls: 0.004192 loss_rpn_loc: 0.001939 loss_D_img_s: 0.69 loss_cls_pseudo: 0.005074 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001463 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 0.9754 last_time: 1.4465 data_time: 0.0191 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 12:01:26] d2.utils.events INFO: eta: 4:57:52 iter: 37299 total_loss: 1.437 loss_cls: 0.01069 loss_box_reg: 0.02802 loss_rpn_cls: 0.003507 loss_rpn_loc: 0.001866 loss_D_img_s: 0.7038 loss_cls_pseudo: 0.007381 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loss_box_reg: 0.02482 loss_rpn_cls: 0.002133 loss_rpn_loc: 0.001983 loss_D_img_s: 0.691 loss_cls_pseudo: 0.01143 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002393 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 0.9780 last_time: 1.2723 data_time: 0.0183 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 12:06:37] d2.utils.events INFO: eta: 4:52:45 iter: 37519 total_loss: 1.44 loss_cls: 0.01347 loss_box_reg: 0.03018 loss_rpn_cls: 0.003165 loss_rpn_loc: 0.001359 loss_D_img_s: 0.6886 loss_cls_pseudo: 0.005449 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0008955 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.698 time: 0.9782 last_time: 1.4297 data_time: 0.0209 last_data_time: 0.0293 lr: 0.01 max_mem: 20425M +[03/21 12:07:04] d2.utils.events INFO: eta: 4:52:15 iter: 37539 total_loss: 1.451 loss_cls: 0.01098 loss_box_reg: 0.03254 loss_rpn_cls: 0.003471 loss_rpn_loc: 0.001955 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.01189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001954 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eta: 4:50:58 iter: 37599 total_loss: 1.467 loss_cls: 0.009082 loss_box_reg: 0.02766 loss_rpn_cls: 0.003637 loss_rpn_loc: 0.001379 loss_D_img_s: 0.7007 loss_cls_pseudo: 0.01349 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003601 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 0.9791 last_time: 1.2380 data_time: 0.0218 last_data_time: 0.0098 lr: 0.01 max_mem: 20425M +[03/21 12:08:59] d2.utils.events INFO: eta: 4:50:38 iter: 37619 total_loss: 1.448 loss_cls: 0.008553 loss_box_reg: 0.02588 loss_rpn_cls: 0.003092 loss_rpn_loc: 0.001454 loss_D_img_s: 0.6886 loss_cls_pseudo: 0.01164 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003718 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6998 time: 0.9794 last_time: 1.2569 data_time: 0.0176 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 12:09:28] d2.utils.events INFO: eta: 4:50:14 iter: 37639 total_loss: 1.436 loss_cls: 0.00962 loss_box_reg: 0.02983 loss_rpn_cls: 0.001596 loss_rpn_loc: 0.001694 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.008486 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max_mem: 20425M +[03/21 12:10:51] d2.utils.events INFO: eta: 4:49:03 iter: 37699 total_loss: 1.447 loss_cls: 0.01314 loss_box_reg: 0.02264 loss_rpn_cls: 0.004563 loss_rpn_loc: 0.002138 loss_D_img_s: 0.6643 loss_cls_pseudo: 0.0118 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002277 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7238 time: 0.9803 last_time: 1.4836 data_time: 0.0229 last_data_time: 0.0275 lr: 0.01 max_mem: 20425M +[03/21 12:11:19] d2.utils.events INFO: eta: 4:48:34 iter: 37719 total_loss: 1.437 loss_cls: 0.006138 loss_box_reg: 0.02147 loss_rpn_cls: 0.001967 loss_rpn_loc: 0.001243 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.009014 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001831 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7035 time: 0.9805 last_time: 1.3423 data_time: 0.0165 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 12:11:48] d2.utils.events INFO: eta: 4:48:06 iter: 37739 total_loss: 1.443 loss_cls: 0.01296 loss_box_reg: 0.02699 loss_rpn_cls: 0.004266 loss_rpn_loc: 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loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7006 time: 0.9823 last_time: 1.4161 data_time: 0.0219 last_data_time: 0.0598 lr: 0.01 max_mem: 20425M +[03/21 12:15:35] d2.utils.events INFO: eta: 4:44:49 iter: 37899 total_loss: 1.447 loss_cls: 0.01121 loss_box_reg: 0.02621 loss_rpn_cls: 0.003798 loss_rpn_loc: 0.001973 loss_D_img_s: 0.7023 loss_cls_pseudo: 0.01489 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004497 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6828 time: 0.9826 last_time: 1.4831 data_time: 0.0163 last_data_time: 0.0293 lr: 0.01 max_mem: 20425M +[03/21 12:16:04] d2.utils.events INFO: eta: 4:44:46 iter: 37919 total_loss: 1.436 loss_cls: 0.009653 loss_box_reg: 0.02298 loss_rpn_cls: 0.003794 loss_rpn_loc: 0.001483 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.01243 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6739 time: 0.9828 last_time: 1.3098 data_time: 0.0216 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 12:16:33] d2.utils.events INFO: eta: 4:44:29 iter: 37939 total_loss: 1.43 loss_cls: 0.008041 loss_box_reg: 0.02372 loss_rpn_cls: 0.002418 loss_rpn_loc: 0.001442 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.007705 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002755 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.685 time: 0.9831 last_time: 1.4625 data_time: 0.0186 last_data_time: 0.0124 lr: 0.01 max_mem: 20425M +[03/21 12:17:01] d2.utils.events INFO: eta: 4:44:01 iter: 37959 total_loss: 1.443 loss_cls: 0.01298 loss_box_reg: 0.02606 loss_rpn_cls: 0.002261 loss_rpn_loc: 0.00194 loss_D_img_s: 0.683 loss_cls_pseudo: 0.01252 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002572 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.9833 last_time: 1.3990 data_time: 0.0231 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 12:17:30] d2.utils.events INFO: eta: 4:43:24 iter: 37979 total_loss: 1.45 loss_cls: 0.007403 loss_box_reg: 0.02572 loss_rpn_cls: 0.001394 loss_rpn_loc: 0.001855 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.008855 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002656 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6994 time: 0.9835 last_time: 1.4303 data_time: 0.0176 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 12:17:58] d2.data.common INFO: Serializing the dataset using: +[03/21 12:17:58] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 12:17:58] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 12:17:58] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 12:17:58] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 12:18:00] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 12:20:08] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.248990 (0.129807 s / iter per device, on 1 devices) +[03/21 12:20:08] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073116 s / iter per device, on 1 devices) +[03/21 12:20:08] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 12:20:08] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 12:20:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 12:20:08] d2.evaluation.testing INFO: copypaste: 0.3306,2.0000,0.0382 +[03/21 12:20:08] d2.data.common INFO: Serializing the dataset using: +[03/21 12:20:08] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 12:20:08] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 12:20:08] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 12:20:08] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 12:20:10] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:04 +[03/21 12:22:18] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.061078 (0.129616 s / iter per device, on 1 devices) +[03/21 12:22:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072500 s / iter per device, on 1 devices) +[03/21 12:22:18] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 12:22:18] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 12:22:18] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 12:22:18] d2.evaluation.testing INFO: copypaste: 0.3575,1.6438,0.0612 +[03/21 12:22:18] d2.utils.events INFO: eta: 4:42:56 iter: 37999 total_loss: 1.439 loss_cls: 0.01249 loss_box_reg: 0.02863 loss_rpn_cls: 0.002192 loss_rpn_loc: 0.001786 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.01093 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002454 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6888 time: 0.9838 last_time: 1.4685 data_time: 0.0188 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 12:22:45] d2.utils.events INFO: eta: 4:42:42 iter: 38019 total_loss: 1.443 loss_cls: 0.00935 loss_box_reg: 0.02391 loss_rpn_cls: 0.002842 loss_rpn_loc: 0.001618 loss_D_img_s: 0.6867 loss_cls_pseudo: 0.01229 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003787 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6962 time: 0.9840 last_time: 1.3758 data_time: 0.0171 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 12:23:13] d2.utils.events INFO: eta: 4:42:08 iter: 38039 total_loss: 1.433 loss_cls: 0.00893 loss_box_reg: 0.02698 loss_rpn_cls: 0.002598 loss_rpn_loc: 0.001354 loss_D_img_s: 0.6776 loss_cls_pseudo: 0.005053 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001679 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7017 time: 0.9842 last_time: 1.4630 data_time: 0.0162 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 12:23:41] d2.utils.events INFO: eta: 4:41:28 iter: 38059 total_loss: 1.443 loss_cls: 0.009589 loss_box_reg: 0.02058 loss_rpn_cls: 0.002542 loss_rpn_loc: 0.001595 loss_D_img_s: 0.6677 loss_cls_pseudo: 0.01052 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002437 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7044 time: 0.9844 last_time: 1.4566 data_time: 0.0196 last_data_time: 0.0393 lr: 0.01 max_mem: 20425M +[03/21 12:24:08] d2.utils.events INFO: eta: 4:41:03 iter: 38079 total_loss: 1.441 loss_cls: 0.009168 loss_box_reg: 0.02572 loss_rpn_cls: 0.003529 loss_rpn_loc: 0.00202 loss_D_img_s: 0.6846 loss_cls_pseudo: 0.008388 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001544 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 0.9846 last_time: 1.2074 data_time: 0.0161 last_data_time: 0.0455 lr: 0.01 max_mem: 20425M +[03/21 12:24:35] d2.utils.events INFO: eta: 4:40:42 iter: 38099 total_loss: 1.441 loss_cls: 0.008122 loss_box_reg: 0.02584 loss_rpn_cls: 0.00396 loss_rpn_loc: 0.001597 loss_D_img_s: 0.6984 loss_cls_pseudo: 0.008216 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001774 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 0.9848 last_time: 1.2685 data_time: 0.0150 last_data_time: 0.0190 lr: 0.01 max_mem: 20425M +[03/21 12:25:04] d2.utils.events INFO: eta: 4:40:42 iter: 38119 total_loss: 1.453 loss_cls: 0.01126 loss_box_reg: 0.02983 loss_rpn_cls: 0.003262 loss_rpn_loc: 0.001719 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.009658 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002928 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 0.9850 last_time: 1.3319 data_time: 0.0152 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 12:25:32] d2.utils.events INFO: eta: 4:40:10 iter: 38139 total_loss: 1.443 loss_cls: 0.01164 loss_box_reg: 0.02773 loss_rpn_cls: 0.003021 loss_rpn_loc: 0.001252 loss_D_img_s: 0.7058 loss_cls_pseudo: 0.00584 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001516 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6832 time: 0.9852 last_time: 1.4522 data_time: 0.0229 last_data_time: 0.0316 lr: 0.01 max_mem: 20425M +[03/21 12:26:00] d2.utils.events INFO: eta: 4:39:45 iter: 38159 total_loss: 1.435 loss_cls: 0.01195 loss_box_reg: 0.02801 loss_rpn_cls: 0.004185 loss_rpn_loc: 0.001371 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.007994 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002066 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6732 time: 0.9855 last_time: 1.1633 data_time: 0.0210 last_data_time: 0.0086 lr: 0.01 max_mem: 20425M +[03/21 12:26:28] d2.utils.events INFO: eta: 4:39:14 iter: 38179 total_loss: 1.45 loss_cls: 0.006432 loss_box_reg: 0.02866 loss_rpn_cls: 0.002009 loss_rpn_loc: 0.001467 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.0155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002287 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 0.9857 last_time: 1.4014 data_time: 0.0183 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 12:26:56] d2.utils.events INFO: eta: 4:38:44 iter: 38199 total_loss: 1.458 loss_cls: 0.01046 loss_box_reg: 0.02651 loss_rpn_cls: 0.002196 loss_rpn_loc: 0.001325 loss_D_img_s: 0.6977 loss_cls_pseudo: 0.01219 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002957 loss_rpn_loc_pseudo: 0 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12:30:43] d2.utils.events INFO: eta: 4:34:29 iter: 38359 total_loss: 1.45 loss_cls: 0.0121 loss_box_reg: 0.02644 loss_rpn_cls: 0.003602 loss_rpn_loc: 0.001943 loss_D_img_s: 0.6873 loss_cls_pseudo: 0.008724 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001929 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 0.9877 last_time: 1.2213 data_time: 0.0162 last_data_time: 0.0186 lr: 0.01 max_mem: 20425M +[03/21 12:31:11] d2.utils.events INFO: eta: 4:34:05 iter: 38379 total_loss: 1.446 loss_cls: 0.0128 loss_box_reg: 0.03356 loss_rpn_cls: 0.003567 loss_rpn_loc: 0.00185 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.00712 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001465 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6795 time: 0.9879 last_time: 1.4316 data_time: 0.0173 last_data_time: 0.0161 lr: 0.01 max_mem: 20425M +[03/21 12:31:40] d2.utils.events INFO: eta: 4:33:50 iter: 38399 total_loss: 1.472 loss_cls: 0.01298 loss_box_reg: 0.03151 loss_rpn_cls: 0.003887 loss_rpn_loc: 0.001501 loss_D_img_s: 0.7025 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12:38:49] d2.utils.events INFO: eta: 4:26:55 iter: 38699 total_loss: 1.463 loss_cls: 0.01061 loss_box_reg: 0.02939 loss_rpn_cls: 0.002105 loss_rpn_loc: 0.001598 loss_D_img_s: 0.7063 loss_cls_pseudo: 0.01126 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003501 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 0.9916 last_time: 1.3219 data_time: 0.0244 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 12:39:17] d2.utils.events INFO: eta: 4:26:36 iter: 38719 total_loss: 1.44 loss_cls: 0.008482 loss_box_reg: 0.02569 loss_rpn_cls: 0.001161 loss_rpn_loc: 0.001685 loss_D_img_s: 0.692 loss_cls_pseudo: 0.01567 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.008388 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 0.9918 last_time: 1.1581 data_time: 0.0255 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 12:39:45] d2.utils.events INFO: eta: 4:25:58 iter: 38739 total_loss: 1.436 loss_cls: 0.007067 loss_box_reg: 0.01984 loss_rpn_cls: 0.001008 loss_rpn_loc: 0.001219 loss_D_img_s: 0.6738 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loss_rpn_cls: 0.003127 loss_rpn_loc: 0.001515 loss_D_img_s: 0.7067 loss_cls_pseudo: 0.01307 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001253 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6749 time: 0.9931 last_time: 1.4285 data_time: 0.0235 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 12:42:36] d2.utils.events INFO: eta: 4:23:22 iter: 38859 total_loss: 1.434 loss_cls: 0.01065 loss_box_reg: 0.02408 loss_rpn_cls: 0.003471 loss_rpn_loc: 0.001421 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.00954 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001515 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6864 time: 0.9933 last_time: 1.4273 data_time: 0.0208 last_data_time: 0.0319 lr: 0.01 max_mem: 20425M +[03/21 12:43:05] d2.utils.events INFO: eta: 4:22:59 iter: 38879 total_loss: 1.438 loss_cls: 0.008301 loss_box_reg: 0.0241 loss_rpn_cls: 0.002357 loss_rpn_loc: 0.001667 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.01008 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001331 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 0.9935 last_time: 1.4118 data_time: 0.0218 last_data_time: 0.0130 lr: 0.01 max_mem: 20425M +[03/21 12:43:33] d2.utils.events INFO: eta: 4:22:18 iter: 38899 total_loss: 1.436 loss_cls: 0.009679 loss_box_reg: 0.02151 loss_rpn_cls: 0.002667 loss_rpn_loc: 0.001708 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.005895 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00134 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6878 time: 0.9938 last_time: 1.4306 data_time: 0.0189 last_data_time: 0.0260 lr: 0.01 max_mem: 20425M +[03/21 12:44:02] d2.utils.events INFO: eta: 4:21:50 iter: 38919 total_loss: 1.443 loss_cls: 0.01269 loss_box_reg: 0.02388 loss_rpn_cls: 0.00214 loss_rpn_loc: 0.002092 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.007684 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001115 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6764 time: 0.9940 last_time: 1.5143 data_time: 0.0200 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 12:44:30] d2.utils.events INFO: eta: 4:21:12 iter: 38939 total_loss: 1.442 loss_cls: 0.01158 loss_box_reg: 0.02786 loss_rpn_cls: 0.001971 loss_rpn_loc: 0.001919 loss_D_img_s: 0.6884 loss_cls_pseudo: 0.01142 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002206 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6981 time: 0.9942 last_time: 1.5333 data_time: 0.0128 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 12:44:59] d2.utils.events INFO: eta: 4:20:37 iter: 38959 total_loss: 1.425 loss_cls: 0.009313 loss_box_reg: 0.02625 loss_rpn_cls: 0.002991 loss_rpn_loc: 0.001718 loss_D_img_s: 0.6974 loss_cls_pseudo: 0.007844 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001253 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 0.9944 last_time: 1.5137 data_time: 0.0219 last_data_time: 0.0116 lr: 0.01 max_mem: 20425M +[03/21 12:45:28] d2.utils.events INFO: eta: 4:20:09 iter: 38979 total_loss: 1.43 loss_cls: 0.009484 loss_box_reg: 0.02106 loss_rpn_cls: 0.003526 loss_rpn_loc: 0.001661 loss_D_img_s: 0.6848 loss_cls_pseudo: 0.008718 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00257 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 0.9947 last_time: 1.3182 data_time: 0.0150 last_data_time: 0.0150 lr: 0.01 max_mem: 20425M +[03/21 12:45:56] d2.data.common INFO: Serializing the dataset using: +[03/21 12:45:56] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 12:45:56] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 12:45:56] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 12:45:56] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 12:45:58] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:00 +[03/21 12:48:06] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.875022 (0.130440 s / iter per device, on 1 devices) +[03/21 12:48:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:14 (0.075117 s / iter per device, on 1 devices) +[03/21 12:48:07] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 12:48:07] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 12:48:07] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 12:48:07] d2.evaluation.testing INFO: copypaste: 0.1865,1.0559,0.0860 +[03/21 12:48:07] d2.data.common INFO: Serializing the dataset using: +[03/21 12:48:07] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 12:48:07] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 12:48:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 12:48:07] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 12:48:11] d2.evaluation.evaluator INFO: Inference done 25/993. 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ETA=0:00:01 +[03/21 12:50:16] d2.evaluation.evaluator INFO: Total inference time: 0:02:07.655681 (0.129206 s / iter per device, on 1 devices) +[03/21 12:50:16] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073036 s / iter per device, on 1 devices) +[03/21 12:50:16] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 12:50:16] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 12:50:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 12:50:16] d2.evaluation.testing INFO: copypaste: 0.3256,1.0839,0.2159 +[03/21 12:50:16] d2.utils.events INFO: eta: 4:19:47 iter: 38999 total_loss: 1.447 loss_cls: 0.009985 loss_box_reg: 0.02576 loss_rpn_cls: 0.001591 loss_rpn_loc: 0.001402 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.01215 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004036 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.69 time: 0.9949 last_time: 1.3904 data_time: 0.0160 last_data_time: 0.0334 lr: 0.01 max_mem: 20425M +[03/21 12:50:43] d2.utils.events INFO: eta: 4:19:15 iter: 39019 total_loss: 1.445 loss_cls: 0.01123 loss_box_reg: 0.0236 loss_rpn_cls: 0.003408 loss_rpn_loc: 0.001595 loss_D_img_s: 0.6784 loss_cls_pseudo: 0.009092 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004374 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7036 time: 0.9951 last_time: 1.3019 data_time: 0.0185 last_data_time: 0.0230 lr: 0.01 max_mem: 20425M +[03/21 12:51:10] d2.utils.events INFO: eta: 4:18:38 iter: 39039 total_loss: 1.442 loss_cls: 0.01005 loss_box_reg: 0.03243 loss_rpn_cls: 0.001607 loss_rpn_loc: 0.001392 loss_D_img_s: 0.7052 loss_cls_pseudo: 0.008925 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001896 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6786 time: 0.9952 last_time: 1.3511 data_time: 0.0203 last_data_time: 0.0233 lr: 0.01 max_mem: 20425M +[03/21 12:51:37] d2.utils.events INFO: eta: 4:18:02 iter: 39059 total_loss: 1.449 loss_cls: 0.01665 loss_box_reg: 0.03147 loss_rpn_cls: 0.004193 loss_rpn_loc: 0.002118 loss_D_img_s: 0.6912 loss_cls_pseudo: 0.00361 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001058 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6901 time: 0.9954 last_time: 1.3437 data_time: 0.0151 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 12:52:04] d2.utils.events INFO: eta: 4:17:27 iter: 39079 total_loss: 1.444 loss_cls: 0.0164 loss_box_reg: 0.03117 loss_rpn_cls: 0.004608 loss_rpn_loc: 0.002185 loss_D_img_s: 0.7009 loss_cls_pseudo: 0.01143 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00302 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6771 time: 0.9956 last_time: 1.3384 data_time: 0.0214 last_data_time: 0.0291 lr: 0.01 max_mem: 20425M +[03/21 12:52:31] d2.utils.events INFO: eta: 4:16:59 iter: 39099 total_loss: 1.446 loss_cls: 0.008888 loss_box_reg: 0.02893 loss_rpn_cls: 0.001718 loss_rpn_loc: 0.001388 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.01196 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00177 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6801 time: 0.9958 last_time: 1.2632 data_time: 0.0173 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 12:52:59] d2.utils.events INFO: eta: 4:16:23 iter: 39119 total_loss: 1.46 loss_cls: 0.0111 loss_box_reg: 0.02616 loss_rpn_cls: 0.003425 loss_rpn_loc: 0.001565 loss_D_img_s: 0.6734 loss_cls_pseudo: 0.01175 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003171 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7163 time: 0.9960 last_time: 1.5831 data_time: 0.0174 last_data_time: 0.0191 lr: 0.01 max_mem: 20425M +[03/21 12:53:28] d2.utils.events INFO: eta: 4:16:02 iter: 39139 total_loss: 1.426 loss_cls: 0.008456 loss_box_reg: 0.02683 loss_rpn_cls: 0.002224 loss_rpn_loc: 0.001861 loss_D_img_s: 0.6809 loss_cls_pseudo: 0.005134 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009617 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7004 time: 0.9962 last_time: 1.3187 data_time: 0.0192 last_data_time: 0.0447 lr: 0.01 max_mem: 20425M +[03/21 12:53:56] d2.utils.events INFO: eta: 4:15:26 iter: 39159 total_loss: 1.456 loss_cls: 0.01371 loss_box_reg: 0.02579 loss_rpn_cls: 0.003506 loss_rpn_loc: 0.002258 loss_D_img_s: 0.6715 loss_cls_pseudo: 0.006757 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002111 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7108 time: 0.9964 last_time: 1.3486 data_time: 0.0166 last_data_time: 0.0169 lr: 0.01 max_mem: 20425M +[03/21 12:54:23] d2.utils.events INFO: eta: 4:14:57 iter: 39179 total_loss: 1.415 loss_cls: 0.008876 loss_box_reg: 0.02208 loss_rpn_cls: 0.003501 loss_rpn_loc: 0.002193 loss_D_img_s: 0.6682 loss_cls_pseudo: 0.004533 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001254 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7098 time: 0.9966 last_time: 1.5060 data_time: 0.0191 last_data_time: 0.0372 lr: 0.01 max_mem: 20425M +[03/21 12:54:51] d2.utils.events INFO: eta: 4:14:29 iter: 39199 total_loss: 1.409 loss_cls: 0.00567 loss_box_reg: 0.01941 loss_rpn_cls: 0.001187 loss_rpn_loc: 0.001057 loss_D_img_s: 0.6527 loss_cls_pseudo: 0.006378 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001358 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7135 time: 0.9968 last_time: 1.4386 data_time: 0.0208 last_data_time: 0.0260 lr: 0.01 max_mem: 20425M +[03/21 12:55:20] d2.utils.events INFO: eta: 4:14:00 iter: 39219 total_loss: 1.447 loss_cls: 0.00754 loss_box_reg: 0.02485 loss_rpn_cls: 0.001657 loss_rpn_loc: 0.001808 loss_D_img_s: 0.6966 loss_cls_pseudo: 0.008172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001892 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.9970 last_time: 1.3737 data_time: 0.0156 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 12:55:49] d2.utils.events INFO: eta: 4:13:35 iter: 39239 total_loss: 1.453 loss_cls: 0.01021 loss_box_reg: 0.0291 loss_rpn_cls: 0.001242 loss_rpn_loc: 0.001895 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.006537 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001148 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6966 time: 0.9973 last_time: 1.5251 data_time: 0.0196 last_data_time: 0.0178 lr: 0.01 max_mem: 20425M +[03/21 12:56:17] d2.utils.events INFO: eta: 4:13:03 iter: 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loss_rpn_cls_pseudo: 0.001574 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7005 time: 0.9979 last_time: 1.4553 data_time: 0.0169 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 12:57:43] d2.utils.events INFO: eta: 4:11:41 iter: 39319 total_loss: 1.47 loss_cls: 0.01387 loss_box_reg: 0.03049 loss_rpn_cls: 0.002968 loss_rpn_loc: 0.001827 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.009215 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002889 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 0.9981 last_time: 1.4073 data_time: 0.0193 last_data_time: 0.0230 lr: 0.01 max_mem: 20425M +[03/21 12:58:11] d2.utils.events INFO: eta: 4:11:21 iter: 39339 total_loss: 1.444 loss_cls: 0.009827 loss_box_reg: 0.02698 loss_rpn_cls: 0.002853 loss_rpn_loc: 0.001521 loss_D_img_s: 0.6906 loss_cls_pseudo: 0.01028 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00297 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 0.9984 last_time: 1.4093 data_time: 0.0168 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 12:58:41] d2.utils.events INFO: eta: 4:11:21 iter: 39359 total_loss: 1.437 loss_cls: 0.01035 loss_box_reg: 0.02926 loss_rpn_cls: 0.002638 loss_rpn_loc: 0.00203 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.0086 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001717 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6723 time: 0.9986 last_time: 1.4822 data_time: 0.0181 last_data_time: 0.0396 lr: 0.01 max_mem: 20425M +[03/21 12:59:09] d2.utils.events INFO: eta: 4:10:46 iter: 39379 total_loss: 1.43 loss_cls: 0.008027 loss_box_reg: 0.02153 loss_rpn_cls: 0.003333 loss_rpn_loc: 0.001339 loss_D_img_s: 0.692 loss_cls_pseudo: 0.007863 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001434 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6755 time: 0.9988 last_time: 1.3456 data_time: 0.0264 last_data_time: 0.0178 lr: 0.01 max_mem: 20425M +[03/21 12:59:37] d2.utils.events INFO: eta: 4:10:22 iter: 39399 total_loss: 1.443 loss_cls: 0.01058 loss_box_reg: 0.02529 loss_rpn_cls: 0.003514 loss_rpn_loc: 0.001681 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.00671 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6866 time: 0.9990 last_time: 1.2941 data_time: 0.0175 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 13:00:06] d2.utils.events INFO: eta: 4:10:01 iter: 39419 total_loss: 1.443 loss_cls: 0.01084 loss_box_reg: 0.03396 loss_rpn_cls: 0.00312 loss_rpn_loc: 0.001603 loss_D_img_s: 0.6891 loss_cls_pseudo: 0.00892 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002997 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7043 time: 0.9993 last_time: 1.4052 data_time: 0.0180 last_data_time: 0.0127 lr: 0.01 max_mem: 20425M +[03/21 13:00:35] d2.utils.events INFO: eta: 4:09:25 iter: 39439 total_loss: 1.444 loss_cls: 0.01048 loss_box_reg: 0.03153 loss_rpn_cls: 0.00205 loss_rpn_loc: 0.001382 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.009042 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6783 time: 0.9995 last_time: 1.5165 data_time: 0.0157 last_data_time: 0.0138 lr: 0.01 max_mem: 20425M +[03/21 13:01:03] d2.utils.events INFO: eta: 4:08:59 iter: 39459 total_loss: 1.436 loss_cls: 0.00601 loss_box_reg: 0.01904 loss_rpn_cls: 0.001165 loss_rpn_loc: 0.001285 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.006721 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 0.9997 last_time: 1.4174 data_time: 0.0180 last_data_time: 0.0146 lr: 0.01 max_mem: 20425M +[03/21 13:01:33] d2.utils.events INFO: eta: 4:08:32 iter: 39479 total_loss: 1.453 loss_cls: 0.01423 loss_box_reg: 0.03112 loss_rpn_cls: 0.002965 loss_rpn_loc: 0.001858 loss_D_img_s: 0.6738 loss_cls_pseudo: 0.0125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.005828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7014 time: 0.9999 last_time: 1.5198 data_time: 0.0263 last_data_time: 0.0167 lr: 0.01 max_mem: 20425M +[03/21 13:02:02] d2.utils.events INFO: eta: 4:08:05 iter: 39499 total_loss: 1.434 loss_cls: 0.008094 loss_box_reg: 0.02106 loss_rpn_cls: 0.003397 loss_rpn_loc: 0.001433 loss_D_img_s: 0.7005 loss_cls_pseudo: 0.009303 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00176 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6765 time: 1.0001 last_time: 1.5080 data_time: 0.0208 last_data_time: 0.0090 lr: 0.01 max_mem: 20425M +[03/21 13:02:31] d2.utils.events INFO: eta: 4:07:40 iter: 39519 total_loss: 1.443 loss_cls: 0.008617 loss_box_reg: 0.02284 loss_rpn_cls: 0.00163 loss_rpn_loc: 0.001815 loss_D_img_s: 0.695 loss_cls_pseudo: 0.01184 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003083 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6829 time: 1.0004 last_time: 1.4839 data_time: 0.0184 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 13:03:00] d2.utils.events INFO: eta: 4:07:12 iter: 39539 total_loss: 1.452 loss_cls: 0.009771 loss_box_reg: 0.02759 loss_rpn_cls: 0.002038 loss_rpn_loc: 0.001482 loss_D_img_s: 0.6782 loss_cls_pseudo: 0.0176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003518 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7 time: 1.0006 last_time: 1.2209 data_time: 0.0199 last_data_time: 0.0128 lr: 0.01 max_mem: 20425M +[03/21 13:03:28] d2.utils.events INFO: eta: 4:06:51 iter: 39559 total_loss: 1.437 loss_cls: 0.009038 loss_box_reg: 0.02469 loss_rpn_cls: 0.002284 loss_rpn_loc: 0.001618 loss_D_img_s: 0.6867 loss_cls_pseudo: 0.01063 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.0008 last_time: 1.4515 data_time: 0.0205 last_data_time: 0.0877 lr: 0.01 max_mem: 20425M +[03/21 13:03:57] d2.utils.events INFO: eta: 4:06:20 iter: 39579 total_loss: 1.423 loss_cls: 0.006943 loss_box_reg: 0.02379 loss_rpn_cls: 0.001309 loss_rpn_loc: 0.001617 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.008807 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001465 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6896 time: 1.0010 last_time: 1.5379 data_time: 0.0193 last_data_time: 0.0168 lr: 0.01 max_mem: 20425M +[03/21 13:04:25] d2.utils.events INFO: eta: 4:05:47 iter: 39599 total_loss: 1.439 loss_cls: 0.01124 loss_box_reg: 0.02387 loss_rpn_cls: 0.003688 loss_rpn_loc: 0.001381 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.005813 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.686 time: 1.0013 last_time: 1.4756 data_time: 0.0167 last_data_time: 0.0111 lr: 0.01 max_mem: 20425M +[03/21 13:04:53] d2.utils.events INFO: eta: 4:05:19 iter: 39619 total_loss: 1.433 loss_cls: 0.01112 loss_box_reg: 0.02549 loss_rpn_cls: 0.004473 loss_rpn_loc: 0.001563 loss_D_img_s: 0.6864 loss_cls_pseudo: 0.004986 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001376 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 1.0014 last_time: 1.3532 data_time: 0.0195 last_data_time: 0.0148 lr: 0.01 max_mem: 20425M +[03/21 13:05:22] d2.utils.events INFO: eta: 4:04:49 iter: 39639 total_loss: 1.454 loss_cls: 0.01044 loss_box_reg: 0.02915 loss_rpn_cls: 0.003551 loss_rpn_loc: 0.001902 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.007701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001668 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6759 time: 1.0017 last_time: 1.5197 data_time: 0.0195 last_data_time: 0.0106 lr: 0.01 max_mem: 20425M +[03/21 13:05:51] d2.utils.events INFO: eta: 4:04:16 iter: 39659 total_loss: 1.438 loss_cls: 0.007921 loss_box_reg: 0.02243 loss_rpn_cls: 0.002986 loss_rpn_loc: 0.001629 loss_D_img_s: 0.6959 loss_cls_pseudo: 0.009369 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002954 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6764 time: 1.0019 last_time: 1.1955 data_time: 0.0195 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 13:06:18] d2.utils.events INFO: eta: 4:03:30 iter: 39679 total_loss: 1.424 loss_cls: 0.006304 loss_box_reg: 0.02044 loss_rpn_cls: 0.002047 loss_rpn_loc: 0.001214 loss_D_img_s: 0.6835 loss_cls_pseudo: 0.005962 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001695 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6987 time: 1.0021 last_time: 1.3616 data_time: 0.0177 last_data_time: 0.0175 lr: 0.01 max_mem: 20425M +[03/21 13:06:47] d2.utils.events INFO: eta: 4:03:13 iter: 39699 total_loss: 1.439 loss_cls: 0.008826 loss_box_reg: 0.02127 loss_rpn_cls: 0.003152 loss_rpn_loc: 0.002247 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.005846 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001408 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.687 time: 1.0023 last_time: 1.3677 data_time: 0.0187 last_data_time: 0.0126 lr: 0.01 max_mem: 20425M +[03/21 13:07:16] d2.utils.events INFO: eta: 4:02:51 iter: 39719 total_loss: 1.443 loss_cls: 0.009962 loss_box_reg: 0.02315 loss_rpn_cls: 0.002704 loss_rpn_loc: 0.001706 loss_D_img_s: 0.705 loss_cls_pseudo: 0.01152 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002207 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.662 time: 1.0025 last_time: 1.5428 data_time: 0.0171 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 13:07:44] d2.utils.events INFO: eta: 4:02:26 iter: 39739 total_loss: 1.443 loss_cls: 0.01072 loss_box_reg: 0.02825 loss_rpn_cls: 0.001733 loss_rpn_loc: 0.001299 loss_D_img_s: 0.6853 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last_data_time: 0.0269 lr: 0.01 max_mem: 20425M +[03/21 13:09:10] d2.utils.events INFO: eta: 4:01:03 iter: 39799 total_loss: 1.442 loss_cls: 0.01116 loss_box_reg: 0.02837 loss_rpn_cls: 0.00444 loss_rpn_loc: 0.001496 loss_D_img_s: 0.7183 loss_cls_pseudo: 0.008766 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6622 time: 1.0034 last_time: 1.5498 data_time: 0.0160 last_data_time: 0.0113 lr: 0.01 max_mem: 20425M +[03/21 13:09:39] d2.utils.events INFO: eta: 4:00:34 iter: 39819 total_loss: 1.454 loss_cls: 0.01326 loss_box_reg: 0.03043 loss_rpn_cls: 0.004167 loss_rpn_loc: 0.002243 loss_D_img_s: 0.6885 loss_cls_pseudo: 0.008678 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001717 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 1.0036 last_time: 1.4502 data_time: 0.0187 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 13:10:07] d2.utils.events INFO: eta: 4:00:01 iter: 39839 total_loss: 1.431 loss_cls: 0.009069 loss_box_reg: 0.02308 loss_rpn_cls: 0.003184 loss_rpn_loc: 0.002102 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.009993 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002124 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.0038 last_time: 1.4791 data_time: 0.0203 last_data_time: 0.0287 lr: 0.01 max_mem: 20425M +[03/21 13:10:36] d2.utils.events INFO: eta: 3:59:35 iter: 39859 total_loss: 1.454 loss_cls: 0.01534 loss_box_reg: 0.02551 loss_rpn_cls: 0.00492 loss_rpn_loc: 0.001867 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.009414 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002302 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 1.0040 last_time: 1.5056 data_time: 0.0182 last_data_time: 0.0217 lr: 0.01 max_mem: 20425M +[03/21 13:11:05] d2.utils.events INFO: eta: 3:59:07 iter: 39879 total_loss: 1.435 loss_cls: 0.01068 loss_box_reg: 0.02602 loss_rpn_cls: 0.001727 loss_rpn_loc: 0.001551 loss_D_img_s: 0.692 loss_cls_pseudo: 0.01069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002749 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.0042 last_time: 1.5292 data_time: 0.0317 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 13:11:35] d2.utils.events INFO: eta: 3:58:41 iter: 39899 total_loss: 1.426 loss_cls: 0.01027 loss_box_reg: 0.02055 loss_rpn_cls: 0.005178 loss_rpn_loc: 0.001746 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.009583 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001835 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6769 time: 1.0045 last_time: 1.5155 data_time: 0.0218 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 13:12:04] d2.utils.events INFO: eta: 3:58:13 iter: 39919 total_loss: 1.433 loss_cls: 0.01271 loss_box_reg: 0.02176 loss_rpn_cls: 0.003111 loss_rpn_loc: 0.001604 loss_D_img_s: 0.683 loss_cls_pseudo: 0.00589 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001163 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.685 time: 1.0047 last_time: 1.1118 data_time: 0.0285 last_data_time: 0.0270 lr: 0.01 max_mem: 20425M +[03/21 13:12:32] d2.utils.events INFO: eta: 3:57:48 iter: 39939 total_loss: 1.426 loss_cls: 0.009328 loss_box_reg: 0.02024 loss_rpn_cls: 0.003028 loss_rpn_loc: 0.002045 loss_D_img_s: 0.7016 loss_cls_pseudo: 0.007945 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001774 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6772 time: 1.0049 last_time: 1.5455 data_time: 0.0218 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 13:13:00] d2.utils.events INFO: eta: 3:57:16 iter: 39959 total_loss: 1.446 loss_cls: 0.01211 loss_box_reg: 0.02346 loss_rpn_cls: 0.003605 loss_rpn_loc: 0.001343 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.004884 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001314 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.0051 last_time: 1.2926 data_time: 0.0312 last_data_time: 0.0320 lr: 0.01 max_mem: 20425M +[03/21 13:13:29] d2.utils.events INFO: eta: 3:56:53 iter: 39979 total_loss: 1.433 loss_cls: 0.0121 loss_box_reg: 0.02619 loss_rpn_cls: 0.002793 loss_rpn_loc: 0.001586 loss_D_img_s: 0.7013 loss_cls_pseudo: 0.007656 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002529 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.71 time: 1.0053 last_time: 1.5030 data_time: 0.0254 last_data_time: 0.0330 lr: 0.01 max_mem: 20425M +[03/21 13:13:58] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/source_ddsm/model_0039999.pth +[03/21 13:13:59] d2.data.common INFO: Serializing the dataset using: +[03/21 13:13:59] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 13:13:59] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 13:13:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 13:13:59] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 13:14:01] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 13:16:06] d2.evaluation.evaluator INFO: Total inference time: 0:02:05.096156 (0.126616 s / iter per device, on 1 devices) +[03/21 13:16:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074203 s / iter per device, on 1 devices) +[03/21 13:16:06] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 13:16:06] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 13:16:06] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 13:16:06] d2.evaluation.testing INFO: copypaste: 0.3150,1.6798,0.2159 +[03/21 13:16:06] d2.data.common INFO: Serializing the dataset using: +[03/21 13:16:06] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 13:16:06] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 13:16:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 13:16:06] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 13:16:10] d2.evaluation.evaluator INFO: Inference done 21/993. 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ETA=0:00:04 +[03/21 13:18:16] d2.evaluation.evaluator INFO: Total inference time: 0:02:08.953709 (0.130520 s / iter per device, on 1 devices) +[03/21 13:18:16] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:13 (0.074341 s / iter per device, on 1 devices) +[03/21 13:18:16] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 13:18:16] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 13:18:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 13:18:16] d2.evaluation.testing INFO: copypaste: 0.3842,1.4640,0.2847 +[03/21 13:18:16] d2.utils.events INFO: eta: 3:56:29 iter: 39999 total_loss: 1.434 loss_cls: 0.007663 loss_box_reg: 0.0226 loss_rpn_cls: 0.001318 loss_rpn_loc: 0.001499 loss_D_img_s: 0.6677 loss_cls_pseudo: 0.007531 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001248 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7037 time: 1.0055 last_time: 1.3773 data_time: 0.0181 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 13:18:43] d2.utils.events INFO: eta: 3:55:54 iter: 40019 total_loss: 1.434 loss_cls: 0.00758 loss_box_reg: 0.02362 loss_rpn_cls: 0.001276 loss_rpn_loc: 0.001602 loss_D_img_s: 0.7059 loss_cls_pseudo: 0.00555 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001901 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6749 time: 1.0057 last_time: 1.1261 data_time: 0.0205 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 13:19:11] d2.utils.events INFO: eta: 3:55:35 iter: 40039 total_loss: 1.442 loss_cls: 0.009049 loss_box_reg: 0.02685 loss_rpn_cls: 0.003623 loss_rpn_loc: 0.001918 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.007677 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002214 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6971 time: 1.0059 last_time: 1.4468 data_time: 0.0141 last_data_time: 0.0112 lr: 0.01 max_mem: 20425M +[03/21 13:19:39] d2.utils.events INFO: eta: 3:55:09 iter: 40059 total_loss: 1.435 loss_cls: 0.01089 loss_box_reg: 0.02956 loss_rpn_cls: 0.003639 loss_rpn_loc: 0.001194 loss_D_img_s: 0.6891 loss_cls_pseudo: 0.008731 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6787 time: 1.0061 last_time: 1.4366 data_time: 0.0158 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 13:20:07] d2.utils.events INFO: eta: 3:54:55 iter: 40079 total_loss: 1.448 loss_cls: 0.009308 loss_box_reg: 0.02678 loss_rpn_cls: 0.001931 loss_rpn_loc: 0.001357 loss_D_img_s: 0.6979 loss_cls_pseudo: 0.006833 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001662 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 1.0063 last_time: 1.5641 data_time: 0.0274 last_data_time: 0.0778 lr: 0.01 max_mem: 20425M +[03/21 13:20:34] d2.utils.events INFO: eta: 3:54:16 iter: 40099 total_loss: 1.441 loss_cls: 0.01226 loss_box_reg: 0.02191 loss_rpn_cls: 0.004333 loss_rpn_loc: 0.00194 loss_D_img_s: 0.6669 loss_cls_pseudo: 0.01244 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7131 time: 1.0065 last_time: 1.3371 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loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001331 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.0131 last_time: 1.4734 data_time: 0.0170 last_data_time: 0.0109 lr: 0.01 max_mem: 20425M +[03/21 13:36:17] d2.utils.events INFO: eta: 3:39:08 iter: 40759 total_loss: 1.439 loss_cls: 0.01297 loss_box_reg: 0.0264 loss_rpn_cls: 0.004369 loss_rpn_loc: 0.001546 loss_D_img_s: 0.6985 loss_cls_pseudo: 0.007514 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001519 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6595 time: 1.0133 last_time: 1.4246 data_time: 0.0161 last_data_time: 0.0160 lr: 0.01 max_mem: 20425M +[03/21 13:36:46] d2.utils.events INFO: eta: 3:38:20 iter: 40779 total_loss: 1.437 loss_cls: 0.01109 loss_box_reg: 0.02444 loss_rpn_cls: 0.002753 loss_rpn_loc: 0.001629 loss_D_img_s: 0.6799 loss_cls_pseudo: 0.01323 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00237 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7002 time: 1.0135 last_time: 1.5711 data_time: 0.0187 last_data_time: 0.0148 lr: 0.01 max_mem: 20425M +[03/21 13:37:14] d2.utils.events INFO: eta: 3:37:50 iter: 40799 total_loss: 1.438 loss_cls: 0.008199 loss_box_reg: 0.02483 loss_rpn_cls: 0.001266 loss_rpn_loc: 0.001304 loss_D_img_s: 0.7113 loss_cls_pseudo: 0.006923 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00113 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6656 time: 1.0137 last_time: 1.3760 data_time: 0.0185 last_data_time: 0.0404 lr: 0.01 max_mem: 20425M +[03/21 13:37:42] d2.utils.events INFO: eta: 3:37:21 iter: 40819 total_loss: 1.452 loss_cls: 0.01072 loss_box_reg: 0.0262 loss_rpn_cls: 0.002657 loss_rpn_loc: 0.001558 loss_D_img_s: 0.6609 loss_cls_pseudo: 0.01072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002352 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7323 time: 1.0139 last_time: 1.3527 data_time: 0.0142 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 13:38:10] d2.utils.events INFO: eta: 3:36:53 iter: 40839 total_loss: 1.443 loss_cls: 0.01111 loss_box_reg: 0.02186 loss_rpn_cls: 0.003191 loss_rpn_loc: 0.00159 loss_D_img_s: 0.6891 loss_cls_pseudo: 0.00834 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002005 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6819 time: 1.0141 last_time: 1.4440 data_time: 0.0184 last_data_time: 0.0207 lr: 0.01 max_mem: 20425M +[03/21 13:38:38] d2.utils.events INFO: eta: 3:36:19 iter: 40859 total_loss: 1.426 loss_cls: 0.01096 loss_box_reg: 0.01929 loss_rpn_cls: 0.004986 loss_rpn_loc: 0.001588 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.007755 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6777 time: 1.0143 last_time: 1.5352 data_time: 0.0185 last_data_time: 0.0244 lr: 0.01 max_mem: 20425M +[03/21 13:39:06] d2.utils.events INFO: eta: 3:35:51 iter: 40879 total_loss: 1.423 loss_cls: 0.006856 loss_box_reg: 0.02051 loss_rpn_cls: 0.002147 loss_rpn_loc: 0.00109 loss_D_img_s: 0.6789 loss_cls_pseudo: 0.006976 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002728 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 1.0145 last_time: 1.3989 data_time: 0.0252 last_data_time: 0.0185 lr: 0.01 max_mem: 20425M +[03/21 13:39:35] d2.utils.events INFO: eta: 3:35:21 iter: 40899 total_loss: 1.436 loss_cls: 0.009719 loss_box_reg: 0.02041 loss_rpn_cls: 0.004812 loss_rpn_loc: 0.001386 loss_D_img_s: 0.697 loss_cls_pseudo: 0.005654 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001444 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 1.0147 last_time: 1.4545 data_time: 0.0207 last_data_time: 0.0338 lr: 0.01 max_mem: 20425M +[03/21 13:40:03] d2.utils.events INFO: eta: 3:34:48 iter: 40919 total_loss: 1.427 loss_cls: 0.006398 loss_box_reg: 0.02068 loss_rpn_cls: 0.001735 loss_rpn_loc: 0.001477 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.007803 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001226 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6987 time: 1.0148 last_time: 1.3665 data_time: 0.0181 last_data_time: 0.0354 lr: 0.01 max_mem: 20425M +[03/21 13:40:32] d2.utils.events INFO: eta: 3:34:19 iter: 40939 total_loss: 1.438 loss_cls: 0.01024 loss_box_reg: 0.02627 loss_rpn_cls: 0.003432 loss_rpn_loc: 0.001398 loss_D_img_s: 0.6532 loss_cls_pseudo: 0.008406 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7232 time: 1.0151 last_time: 1.5004 data_time: 0.0210 last_data_time: 0.0240 lr: 0.01 max_mem: 20425M +[03/21 13:41:00] d2.utils.events INFO: eta: 3:33:54 iter: 40959 total_loss: 1.449 loss_cls: 0.008147 loss_box_reg: 0.01877 loss_rpn_cls: 0.002421 loss_rpn_loc: 0.001654 loss_D_img_s: 0.7149 loss_cls_pseudo: 0.01173 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002419 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6856 time: 1.0153 last_time: 1.3818 data_time: 0.0163 last_data_time: 0.0308 lr: 0.01 max_mem: 20425M +[03/21 13:41:30] d2.utils.events INFO: eta: 3:33:26 iter: 40979 total_loss: 1.444 loss_cls: 0.01168 loss_box_reg: 0.03023 loss_rpn_cls: 0.003674 loss_rpn_loc: 0.002675 loss_D_img_s: 0.6796 loss_cls_pseudo: 0.01046 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004005 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.0155 last_time: 1.5276 data_time: 0.0185 last_data_time: 0.0097 lr: 0.01 max_mem: 20425M +[03/21 13:41:59] d2.data.common INFO: Serializing the dataset using: +[03/21 13:41:59] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 13:41:59] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 13:41:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 13:41:59] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 13:42:01] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:01 +[03/21 13:44:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.417740 (0.125929 s / iter per device, on 1 devices) +[03/21 13:44:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072863 s / iter per device, on 1 devices) +[03/21 13:44:05] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 13:44:05] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 13:44:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 13:44:05] d2.evaluation.testing INFO: copypaste: 0.2385,0.7935,0.1668 +[03/21 13:44:05] d2.data.common INFO: Serializing the dataset using: +[03/21 13:44:05] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 13:44:05] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 13:44:05] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 13:44:05] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 13:44:08] d2.evaluation.evaluator INFO: Inference done 19/993. 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ETA=0:00:02 +[03/21 13:46:13] d2.evaluation.evaluator INFO: Total inference time: 0:02:06.274105 (0.127808 s / iter per device, on 1 devices) +[03/21 13:46:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073347 s / iter per device, on 1 devices) +[03/21 13:46:13] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 13:46:13] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 13:46:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 13:46:13] d2.evaluation.testing INFO: copypaste: 0.2931,1.3582,0.0540 +[03/21 13:46:13] d2.utils.events INFO: eta: 3:32:56 iter: 40999 total_loss: 1.433 loss_cls: 0.008196 loss_box_reg: 0.02248 loss_rpn_cls: 0.001592 loss_rpn_loc: 0.00127 loss_D_img_s: 0.6717 loss_cls_pseudo: 0.007146 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002041 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7034 time: 1.0157 last_time: 1.3223 data_time: 0.0219 last_data_time: 0.0193 lr: 0.01 max_mem: 20425M +[03/21 13:46:41] d2.utils.events INFO: eta: 3:32:33 iter: 41019 total_loss: 1.451 loss_cls: 0.007937 loss_box_reg: 0.02653 loss_rpn_cls: 0.003781 loss_rpn_loc: 0.002021 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.01187 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.007048 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 1.0159 last_time: 1.4197 data_time: 0.0175 last_data_time: 0.0087 lr: 0.01 max_mem: 20425M +[03/21 13:47:08] d2.utils.events INFO: eta: 3:32:01 iter: 41039 total_loss: 1.434 loss_cls: 0.0121 loss_box_reg: 0.02675 loss_rpn_cls: 0.001554 loss_rpn_loc: 0.001877 loss_D_img_s: 0.681 loss_cls_pseudo: 0.006488 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 1.0160 last_time: 1.3815 data_time: 0.0171 last_data_time: 0.0210 lr: 0.01 max_mem: 20425M +[03/21 13:47:36] d2.utils.events INFO: eta: 3:31:35 iter: 41059 total_loss: 1.429 loss_cls: 0.006876 loss_box_reg: 0.02244 loss_rpn_cls: 0.002461 loss_rpn_loc: 0.001658 loss_D_img_s: 0.7016 loss_cls_pseudo: 0.008236 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002895 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6776 time: 1.0162 last_time: 1.4588 data_time: 0.0262 last_data_time: 0.0403 lr: 0.01 max_mem: 20425M +[03/21 13:48:03] d2.utils.events INFO: eta: 3:31:01 iter: 41079 total_loss: 1.438 loss_cls: 0.008153 loss_box_reg: 0.02001 loss_rpn_cls: 0.003422 loss_rpn_loc: 0.001671 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.005873 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001277 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.0164 last_time: 1.3424 data_time: 0.0208 last_data_time: 0.0151 lr: 0.01 max_mem: 20425M +[03/21 13:48:32] d2.utils.events INFO: eta: 3:30:44 iter: 41099 total_loss: 1.436 loss_cls: 0.008941 loss_box_reg: 0.02358 loss_rpn_cls: 0.001382 loss_rpn_loc: 0.001285 loss_D_img_s: 0.7077 loss_cls_pseudo: 0.009181 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001966 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 1.0166 last_time: 1.4413 data_time: 0.0164 last_data_time: 0.0114 lr: 0.01 max_mem: 20425M +[03/21 13:49:00] d2.utils.events INFO: eta: 3:30:19 iter: 41119 total_loss: 1.444 loss_cls: 0.01068 loss_box_reg: 0.02366 loss_rpn_cls: 0.005095 loss_rpn_loc: 0.001492 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.005786 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001206 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.0168 last_time: 1.4639 data_time: 0.0251 last_data_time: 0.0416 lr: 0.01 max_mem: 20425M +[03/21 13:49:29] d2.utils.events INFO: eta: 3:29:47 iter: 41139 total_loss: 1.431 loss_cls: 0.01134 loss_box_reg: 0.02127 loss_rpn_cls: 0.003686 loss_rpn_loc: 0.001364 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.003387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001036 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 1.0170 last_time: 1.2608 data_time: 0.0250 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 13:49:57] d2.utils.events INFO: eta: 3:29:18 iter: 41159 total_loss: 1.446 loss_cls: 0.008093 loss_box_reg: 0.02475 loss_rpn_cls: 0.003705 loss_rpn_loc: 0.001378 loss_D_img_s: 0.7068 loss_cls_pseudo: 0.009844 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001956 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.68 time: 1.0172 last_time: 1.4959 data_time: 0.0152 last_data_time: 0.0129 lr: 0.01 max_mem: 20425M +[03/21 13:50:26] d2.utils.events INFO: eta: 3:28:53 iter: 41179 total_loss: 1.444 loss_cls: 0.01104 loss_box_reg: 0.029 loss_rpn_cls: 0.001925 loss_rpn_loc: 0.001451 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.006178 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001457 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 1.0174 last_time: 1.5473 data_time: 0.0163 last_data_time: 0.0169 lr: 0.01 max_mem: 20425M +[03/21 13:50:56] d2.utils.events INFO: eta: 3:28:36 iter: 41199 total_loss: 1.427 loss_cls: 0.01131 loss_box_reg: 0.02347 loss_rpn_cls: 0.002239 loss_rpn_loc: 0.001347 loss_D_img_s: 0.6674 loss_cls_pseudo: 0.01004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002028 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7065 time: 1.0176 last_time: 1.4336 data_time: 0.0225 last_data_time: 0.0469 lr: 0.01 max_mem: 20425M +[03/21 13:51:24] d2.utils.events INFO: eta: 3:28:17 iter: 41219 total_loss: 1.424 loss_cls: 0.009117 loss_box_reg: 0.02156 loss_rpn_cls: 0.003126 loss_rpn_loc: 0.001437 loss_D_img_s: 0.7072 loss_cls_pseudo: 0.008683 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6556 time: 1.0178 last_time: 1.5986 data_time: 0.0194 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 13:51:54] d2.utils.events INFO: eta: 3:27:46 iter: 41239 total_loss: 1.439 loss_cls: 0.006683 loss_box_reg: 0.02059 loss_rpn_cls: 0.00107 loss_rpn_loc: 0.001753 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.008288 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001909 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.0180 last_time: 1.4324 data_time: 0.0195 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 13:52:23] d2.utils.events INFO: eta: 3:27:14 iter: 41259 total_loss: 1.455 loss_cls: 0.01135 loss_box_reg: 0.02781 loss_rpn_cls: 0.003003 loss_rpn_loc: 0.001711 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.008718 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001551 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6809 time: 1.0182 last_time: 1.3772 data_time: 0.0167 last_data_time: 0.0156 lr: 0.01 max_mem: 20425M +[03/21 13:52:51] d2.utils.events INFO: eta: 3:26:47 iter: 41279 total_loss: 1.429 loss_cls: 0.007965 loss_box_reg: 0.0222 loss_rpn_cls: 0.003097 loss_rpn_loc: 0.001235 loss_D_img_s: 0.6881 loss_cls_pseudo: 0.007745 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002217 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.0184 last_time: 1.4279 data_time: 0.0263 last_data_time: 0.0280 lr: 0.01 max_mem: 20425M +[03/21 13:53:19] d2.utils.events INFO: eta: 3:26:06 iter: 41299 total_loss: 1.452 loss_cls: 0.01431 loss_box_reg: 0.0259 loss_rpn_cls: 0.003854 loss_rpn_loc: 0.001333 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.008923 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.0186 last_time: 1.4546 data_time: 0.0227 last_data_time: 0.0504 lr: 0.01 max_mem: 20425M +[03/21 13:53:48] d2.utils.events INFO: eta: 3:25:34 iter: 41319 total_loss: 1.428 loss_cls: 0.009646 loss_box_reg: 0.02145 loss_rpn_cls: 0.00333 loss_rpn_loc: 0.001861 loss_D_img_s: 0.6816 loss_cls_pseudo: 0.006893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001355 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7015 time: 1.0188 last_time: 1.2272 data_time: 0.0190 last_data_time: 0.0142 lr: 0.01 max_mem: 20425M +[03/21 13:54:16] d2.utils.events INFO: eta: 3:25:01 iter: 41339 total_loss: 1.442 loss_cls: 0.009964 loss_box_reg: 0.02812 loss_rpn_cls: 0.002943 loss_rpn_loc: 0.00167 loss_D_img_s: 0.7082 loss_cls_pseudo: 0.006748 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6779 time: 1.0190 last_time: 1.4659 data_time: 0.0193 last_data_time: 0.0660 lr: 0.01 max_mem: 20425M +[03/21 13:54:44] d2.utils.events INFO: eta: 3:24:33 iter: 41359 total_loss: 1.455 loss_cls: 0.006973 loss_box_reg: 0.02351 loss_rpn_cls: 0.001538 loss_rpn_loc: 0.0014 loss_D_img_s: 0.7024 loss_cls_pseudo: 0.01188 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001605 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.0192 last_time: 1.4260 data_time: 0.0160 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 13:55:13] d2.utils.events INFO: eta: 3:24:15 iter: 41379 total_loss: 1.437 loss_cls: 0.01096 loss_box_reg: 0.03131 loss_rpn_cls: 0.003636 loss_rpn_loc: 0.00142 loss_D_img_s: 0.6855 loss_cls_pseudo: 0.0102 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002047 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 1.0194 last_time: 1.5849 data_time: 0.0179 last_data_time: 0.0134 lr: 0.01 max_mem: 20425M +[03/21 13:55:42] d2.utils.events INFO: eta: 3:23:48 iter: 41399 total_loss: 1.435 loss_cls: 0.007061 loss_box_reg: 0.02319 loss_rpn_cls: 0.001989 loss_rpn_loc: 0.001643 loss_D_img_s: 0.6961 loss_cls_pseudo: 0.005826 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009666 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 1.0196 last_time: 1.7084 data_time: 0.0215 last_data_time: 0.0552 lr: 0.01 max_mem: 20425M +[03/21 13:56:11] d2.utils.events INFO: eta: 3:23:09 iter: 41419 total_loss: 1.427 loss_cls: 0.00842 loss_box_reg: 0.02328 loss_rpn_cls: 0.003318 loss_rpn_loc: 0.001757 loss_D_img_s: 0.6733 loss_cls_pseudo: 0.007436 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00134 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 1.0198 last_time: 1.4034 data_time: 0.0213 last_data_time: 0.0132 lr: 0.01 max_mem: 20425M +[03/21 13:56:39] d2.utils.events INFO: eta: 3:22:39 iter: 41439 total_loss: 1.441 loss_cls: 0.01074 loss_box_reg: 0.01944 loss_rpn_cls: 0.003665 loss_rpn_loc: 0.001339 loss_D_img_s: 0.6863 loss_cls_pseudo: 0.007437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009661 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.0200 last_time: 1.4798 data_time: 0.0239 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 13:57:08] d2.utils.events INFO: eta: 3:22:10 iter: 41459 total_loss: 1.449 loss_cls: 0.008649 loss_box_reg: 0.02161 loss_rpn_cls: 0.002496 loss_rpn_loc: 0.001743 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.01162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002678 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6825 time: 1.0202 last_time: 1.4997 data_time: 0.0205 last_data_time: 0.0167 lr: 0.01 max_mem: 20425M +[03/21 13:57:36] d2.utils.events INFO: eta: 3:21:41 iter: 41479 total_loss: 1.449 loss_cls: 0.01317 loss_box_reg: 0.02543 loss_rpn_cls: 0.002894 loss_rpn_loc: 0.001433 loss_D_img_s: 0.6982 loss_cls_pseudo: 0.006549 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001745 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.0204 last_time: 1.3636 data_time: 0.0215 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 13:58:06] d2.utils.events INFO: eta: 3:21:13 iter: 41499 total_loss: 1.458 loss_cls: 0.01254 loss_box_reg: 0.02684 loss_rpn_cls: 0.003725 loss_rpn_loc: 0.001505 loss_D_img_s: 0.7018 loss_cls_pseudo: 0.009394 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002464 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6712 time: 1.0206 last_time: 1.4135 data_time: 0.0152 last_data_time: 0.0195 lr: 0.01 max_mem: 20425M +[03/21 13:58:34] d2.utils.events INFO: eta: 3:20:45 iter: 41519 total_loss: 1.451 loss_cls: 0.01203 loss_box_reg: 0.03207 loss_rpn_cls: 0.00286 loss_rpn_loc: 0.00158 loss_D_img_s: 0.6885 loss_cls_pseudo: 0.007901 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002385 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 1.0208 last_time: 1.3125 data_time: 0.0193 last_data_time: 0.0171 lr: 0.01 max_mem: 20425M +[03/21 13:59:02] d2.utils.events INFO: eta: 3:20:12 iter: 41539 total_loss: 1.447 loss_cls: 0.007996 loss_box_reg: 0.02568 loss_rpn_cls: 0.002326 loss_rpn_loc: 0.001594 loss_D_img_s: 0.7016 loss_cls_pseudo: 0.01893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003006 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6875 time: 1.0210 last_time: 1.3912 data_time: 0.0197 last_data_time: 0.0253 lr: 0.01 max_mem: 20425M +[03/21 13:59:31] d2.utils.events INFO: eta: 3:19:45 iter: 41559 total_loss: 1.452 loss_cls: 0.009783 loss_box_reg: 0.02198 loss_rpn_cls: 0.003003 loss_rpn_loc: 0.001531 loss_D_img_s: 0.6722 loss_cls_pseudo: 0.01513 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004254 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7096 time: 1.0212 last_time: 1.4845 data_time: 0.0167 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 13:59:59] d2.utils.events INFO: eta: 3:19:17 iter: 41579 total_loss: 1.462 loss_cls: 0.01296 loss_box_reg: 0.03045 loss_rpn_cls: 0.003299 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.01775 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6992 time: 1.0214 last_time: 1.5020 data_time: 0.0148 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 14:00:28] d2.utils.events INFO: eta: 3:18:51 iter: 41599 total_loss: 1.435 loss_cls: 0.009148 loss_box_reg: 0.03028 loss_rpn_cls: 0.002566 loss_rpn_loc: 0.001668 loss_D_img_s: 0.6817 loss_cls_pseudo: 0.007113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001231 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6983 time: 1.0216 last_time: 1.4279 data_time: 0.0191 last_data_time: 0.0080 lr: 0.01 max_mem: 20425M +[03/21 14:00:57] d2.utils.events INFO: eta: 3:18:24 iter: 41619 total_loss: 1.431 loss_cls: 0.007403 loss_box_reg: 0.02343 loss_rpn_cls: 0.001835 loss_rpn_loc: 0.001717 loss_D_img_s: 0.7049 loss_cls_pseudo: 0.01052 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6716 time: 1.0218 last_time: 1.5388 data_time: 0.0161 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 14:01:26] d2.utils.events INFO: eta: 3:18:00 iter: 41639 total_loss: 1.44 loss_cls: 0.009068 loss_box_reg: 0.02347 loss_rpn_cls: 0.002996 loss_rpn_loc: 0.001295 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.01073 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002365 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7004 time: 1.0220 last_time: 1.3662 data_time: 0.0176 last_data_time: 0.0242 lr: 0.01 max_mem: 20425M +[03/21 14:01:54] d2.utils.events INFO: eta: 3:17:30 iter: 41659 total_loss: 1.425 loss_cls: 0.009334 loss_box_reg: 0.02459 loss_rpn_cls: 0.002587 loss_rpn_loc: 0.001987 loss_D_img_s: 0.7106 loss_cls_pseudo: 0.00886 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009556 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6656 time: 1.0222 last_time: 1.4254 data_time: 0.0194 last_data_time: 0.0204 lr: 0.01 max_mem: 20425M +[03/21 14:02:23] d2.utils.events INFO: eta: 3:17:05 iter: 41679 total_loss: 1.446 loss_cls: 0.01027 loss_box_reg: 0.02643 loss_rpn_cls: 0.003265 loss_rpn_loc: 0.00166 loss_D_img_s: 0.6894 loss_cls_pseudo: 0.007975 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001332 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6959 time: 1.0224 last_time: 1.4456 data_time: 0.0186 last_data_time: 0.0089 lr: 0.01 max_mem: 20425M +[03/21 14:02:52] d2.utils.events INFO: eta: 3:16:39 iter: 41699 total_loss: 1.444 loss_cls: 0.01225 loss_box_reg: 0.02124 loss_rpn_cls: 0.004299 loss_rpn_loc: 0.001971 loss_D_img_s: 0.6972 loss_cls_pseudo: 0.006407 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001149 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.672 time: 1.0226 last_time: 1.6294 data_time: 0.0267 last_data_time: 0.0140 lr: 0.01 max_mem: 20425M +[03/21 14:03:21] d2.utils.events INFO: eta: 3:16:17 iter: 41719 total_loss: 1.441 loss_cls: 0.008722 loss_box_reg: 0.02519 loss_rpn_cls: 0.001795 loss_rpn_loc: 0.00159 loss_D_img_s: 0.7057 loss_cls_pseudo: 0.009405 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001763 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 1.0228 last_time: 1.4164 data_time: 0.0162 last_data_time: 0.0190 lr: 0.01 max_mem: 20425M +[03/21 14:03:51] d2.utils.events INFO: eta: 3:16:07 iter: 41739 total_loss: 1.421 loss_cls: 0.01068 loss_box_reg: 0.0198 loss_rpn_cls: 0.001688 loss_rpn_loc: 0.001391 loss_D_img_s: 0.6798 loss_cls_pseudo: 0.006506 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001824 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.0230 last_time: 1.4447 data_time: 0.0239 last_data_time: 0.0211 lr: 0.01 max_mem: 20425M +[03/21 14:04:20] d2.utils.events INFO: eta: 3:15:39 iter: 41759 total_loss: 1.436 loss_cls: 0.01232 loss_box_reg: 0.02669 loss_rpn_cls: 0.003116 loss_rpn_loc: 0.001518 loss_D_img_s: 0.691 loss_cls_pseudo: 0.01098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003028 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 1.0232 last_time: 1.5655 data_time: 0.0162 last_data_time: 0.0212 lr: 0.01 max_mem: 20425M +[03/21 14:04:49] d2.utils.events INFO: eta: 3:15:24 iter: 41779 total_loss: 1.465 loss_cls: 0.01053 loss_box_reg: 0.02425 loss_rpn_cls: 0.002344 loss_rpn_loc: 0.001425 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.01814 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004422 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 1.0234 last_time: 1.4785 data_time: 0.0185 last_data_time: 0.0246 lr: 0.01 max_mem: 20425M +[03/21 14:05:18] d2.utils.events INFO: eta: 3:15:03 iter: 41799 total_loss: 1.452 loss_cls: 0.009016 loss_box_reg: 0.02525 loss_rpn_cls: 0.002867 loss_rpn_loc: 0.001617 loss_D_img_s: 0.7093 loss_cls_pseudo: 0.01095 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002149 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6845 time: 1.0236 last_time: 1.3662 data_time: 0.0213 last_data_time: 0.0141 lr: 0.01 max_mem: 20425M +[03/21 14:05:47] d2.utils.events INFO: eta: 3:14:45 iter: 41819 total_loss: 1.451 loss_cls: 0.008219 loss_box_reg: 0.02422 loss_rpn_cls: 0.00236 loss_rpn_loc: 0.001743 loss_D_img_s: 0.6763 loss_cls_pseudo: 0.007507 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003416 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7041 time: 1.0238 last_time: 1.2849 data_time: 0.0261 last_data_time: 0.0313 lr: 0.01 max_mem: 20425M +[03/21 14:06:16] d2.utils.events INFO: eta: 3:14:19 iter: 41839 total_loss: 1.436 loss_cls: 0.008254 loss_box_reg: 0.02664 loss_rpn_cls: 0.002158 loss_rpn_loc: 0.001872 loss_D_img_s: 0.6803 loss_cls_pseudo: 0.005352 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001691 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6891 time: 1.0240 last_time: 1.4770 data_time: 0.0224 last_data_time: 0.0350 lr: 0.01 max_mem: 20425M +[03/21 14:06:45] d2.utils.events INFO: eta: 3:14:03 iter: 41859 total_loss: 1.429 loss_cls: 0.009954 loss_box_reg: 0.01755 loss_rpn_cls: 0.005097 loss_rpn_loc: 0.00171 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.007078 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00125 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.679 time: 1.0242 last_time: 1.4682 data_time: 0.0168 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 14:07:15] d2.utils.events INFO: eta: 3:13:39 iter: 41879 total_loss: 1.427 loss_cls: 0.008614 loss_box_reg: 0.0229 loss_rpn_cls: 0.001271 loss_rpn_loc: 0.001511 loss_D_img_s: 0.6759 loss_cls_pseudo: 0.0075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001431 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6877 time: 1.0244 last_time: 1.4093 data_time: 0.0277 last_data_time: 0.0307 lr: 0.01 max_mem: 20425M +[03/21 14:07:43] d2.utils.events INFO: eta: 3:13:09 iter: 41899 total_loss: 1.453 loss_cls: 0.008215 loss_box_reg: 0.02449 loss_rpn_cls: 0.002082 loss_rpn_loc: 0.001356 loss_D_img_s: 0.6988 loss_cls_pseudo: 0.00976 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001335 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6952 time: 1.0246 last_time: 1.5096 data_time: 0.0183 last_data_time: 0.0225 lr: 0.01 max_mem: 20425M +[03/21 14:08:12] d2.utils.events INFO: eta: 3:12:42 iter: 41919 total_loss: 1.434 loss_cls: 0.01214 loss_box_reg: 0.02356 loss_rpn_cls: 0.003775 loss_rpn_loc: 0.001748 loss_D_img_s: 0.7089 loss_cls_pseudo: 0.005796 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001006 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6517 time: 1.0248 last_time: 1.4353 data_time: 0.0215 last_data_time: 0.0208 lr: 0.01 max_mem: 20425M +[03/21 14:08:40] d2.utils.events INFO: eta: 3:12:17 iter: 41939 total_loss: 1.437 loss_cls: 0.009727 loss_box_reg: 0.02993 loss_rpn_cls: 0.002494 loss_rpn_loc: 0.001735 loss_D_img_s: 0.6659 loss_cls_pseudo: 0.005839 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009527 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7198 time: 1.0250 last_time: 1.1411 data_time: 0.0197 last_data_time: 0.0192 lr: 0.01 max_mem: 20425M +[03/21 14:09:09] d2.utils.events INFO: eta: 3:11:46 iter: 41959 total_loss: 1.453 loss_cls: 0.009256 loss_box_reg: 0.02123 loss_rpn_cls: 0.002787 loss_rpn_loc: 0.001691 loss_D_img_s: 0.6682 loss_cls_pseudo: 0.01105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002024 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.718 time: 1.0252 last_time: 1.4562 data_time: 0.0173 last_data_time: 0.0302 lr: 0.01 max_mem: 20425M +[03/21 14:09:39] d2.utils.events INFO: eta: 3:11:26 iter: 41979 total_loss: 1.438 loss_cls: 0.009109 loss_box_reg: 0.02673 loss_rpn_cls: 0.001885 loss_rpn_loc: 0.001683 loss_D_img_s: 0.6737 loss_cls_pseudo: 0.01354 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002723 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 1.0254 last_time: 1.5836 data_time: 0.0152 last_data_time: 0.0093 lr: 0.01 max_mem: 20425M +[03/21 14:10:08] d2.data.common INFO: Serializing the dataset using: +[03/21 14:10:08] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 14:10:08] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 14:10:08] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 14:10:08] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 14:10:11] d2.evaluation.evaluator INFO: Inference done 11/993. Dataloading: 0.0725 s/iter. Inference: 0.1026 s/iter. Eval: 0.0039 s/iter. Total: 0.1789 s/iter. ETA=0:02:55 +[03/21 14:10:16] d2.evaluation.evaluator INFO: Inference done 51/993. Dataloading: 0.0518 s/iter. Inference: 0.0816 s/iter. Eval: 0.0010 s/iter. Total: 0.1344 s/iter. ETA=0:02:06 +[03/21 14:10:21] d2.evaluation.evaluator INFO: Inference done 93/993. Dataloading: 0.0533 s/iter. Inference: 0.0751 s/iter. Eval: 0.0006 s/iter. Total: 0.1291 s/iter. ETA=0:01:56 +[03/21 14:10:26] d2.evaluation.evaluator INFO: Inference done 133/993. Dataloading: 0.0512 s/iter. Inference: 0.0769 s/iter. Eval: 0.0005 s/iter. Total: 0.1286 s/iter. ETA=0:01:50 +[03/21 14:10:31] d2.evaluation.evaluator INFO: Inference done 179/993. Dataloading: 0.0484 s/iter. Inference: 0.0752 s/iter. Eval: 0.0004 s/iter. Total: 0.1241 s/iter. ETA=0:01:41 +[03/21 14:10:36] d2.evaluation.evaluator INFO: Inference done 221/993. Dataloading: 0.0492 s/iter. Inference: 0.0738 s/iter. Eval: 0.0004 s/iter. Total: 0.1235 s/iter. 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ETA=0:00:01 +[03/21 14:12:14] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.872971 (0.126390 s / iter per device, on 1 devices) +[03/21 14:12:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:12 (0.073185 s / iter per device, on 1 devices) +[03/21 14:12:14] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 14:12:14] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 14:12:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 14:12:14] d2.evaluation.testing INFO: copypaste: 0.3284,2.6503,0.0000 +[03/21 14:12:15] d2.data.common INFO: Serializing the dataset using: +[03/21 14:12:15] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 14:12:15] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 14:12:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 14:12:15] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 14:12:18] d2.evaluation.evaluator INFO: Inference done 17/993. 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ETA=0:00:16 +[03/21 14:14:10] d2.evaluation.evaluator INFO: Inference done 906/993. Dataloading: 0.0537 s/iter. Inference: 0.0724 s/iter. Eval: 0.0003 s/iter. Total: 0.1265 s/iter. ETA=0:00:11 +[03/21 14:14:15] d2.evaluation.evaluator INFO: Inference done 949/993. Dataloading: 0.0535 s/iter. Inference: 0.0722 s/iter. Eval: 0.0002 s/iter. Total: 0.1261 s/iter. ETA=0:00:05 +[03/21 14:14:20] d2.evaluation.evaluator INFO: Inference done 988/993. Dataloading: 0.0535 s/iter. Inference: 0.0723 s/iter. Eval: 0.0003 s/iter. Total: 0.1262 s/iter. ETA=0:00:00 +[03/21 14:14:21] d2.evaluation.evaluator INFO: Total inference time: 0:02:04.718612 (0.126233 s / iter per device, on 1 devices) +[03/21 14:14:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:11 (0.072163 s / iter per device, on 1 devices) +[03/21 14:14:21] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 14:14:21] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 14:14:21] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 14:14:21] d2.evaluation.testing INFO: copypaste: 0.3285,1.6510,0.0573 +[03/21 14:14:21] d2.utils.events INFO: eta: 3:11:01 iter: 41999 total_loss: 1.436 loss_cls: 0.006865 loss_box_reg: 0.02036 loss_rpn_cls: 0.001777 loss_rpn_loc: 0.001442 loss_D_img_s: 0.7009 loss_cls_pseudo: 0.00616 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001915 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6816 time: 1.0256 last_time: 1.4866 data_time: 0.0142 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 14:14:48] d2.utils.events INFO: eta: 3:10:31 iter: 42019 total_loss: 1.451 loss_cls: 0.009092 loss_box_reg: 0.02274 loss_rpn_cls: 0.003403 loss_rpn_loc: 0.001818 loss_D_img_s: 0.7139 loss_cls_pseudo: 0.01091 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6816 time: 1.0258 last_time: 1.1856 data_time: 0.0176 last_data_time: 0.0203 lr: 0.01 max_mem: 20425M +[03/21 14:15:16] d2.utils.events INFO: eta: 3:10:08 iter: 42039 total_loss: 1.439 loss_cls: 0.008177 loss_box_reg: 0.02286 loss_rpn_cls: 0.002139 loss_rpn_loc: 0.001364 loss_D_img_s: 0.6488 loss_cls_pseudo: 0.004721 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002278 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7108 time: 1.0260 last_time: 1.3175 data_time: 0.0275 last_data_time: 0.0186 lr: 0.01 max_mem: 20425M +[03/21 14:15:43] d2.utils.events INFO: eta: 3:09:38 iter: 42059 total_loss: 1.44 loss_cls: 0.009765 loss_box_reg: 0.02915 loss_rpn_cls: 0.002768 loss_rpn_loc: 0.001675 loss_D_img_s: 0.7066 loss_cls_pseudo: 0.00721 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003224 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.674 time: 1.0261 last_time: 1.3858 data_time: 0.0198 last_data_time: 0.0101 lr: 0.01 max_mem: 20425M +[03/21 14:16:11] d2.utils.events INFO: eta: 3:09:13 iter: 42079 total_loss: 1.433 loss_cls: 0.008226 loss_box_reg: 0.02133 loss_rpn_cls: 0.001141 loss_rpn_loc: 0.001245 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.00694 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002409 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 1.0263 last_time: 1.5023 data_time: 0.0170 last_data_time: 0.0275 lr: 0.01 max_mem: 20425M +[03/21 14:16:39] d2.utils.events INFO: eta: 3:08:38 iter: 42099 total_loss: 1.443 loss_cls: 0.008876 loss_box_reg: 0.02164 loss_rpn_cls: 0.003624 loss_rpn_loc: 0.001705 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.006005 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001148 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 1.0265 last_time: 1.3962 data_time: 0.0226 last_data_time: 0.0255 lr: 0.01 max_mem: 20425M +[03/21 14:17:07] d2.utils.events INFO: eta: 3:08:14 iter: 42119 total_loss: 1.46 loss_cls: 0.01302 loss_box_reg: 0.02716 loss_rpn_cls: 0.003354 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6987 loss_cls_pseudo: 0.01045 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001439 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 1.0267 last_time: 1.4458 data_time: 0.0180 last_data_time: 0.0194 lr: 0.01 max_mem: 20425M +[03/21 14:17:36] d2.utils.events INFO: eta: 3:07:48 iter: 42139 total_loss: 1.439 loss_cls: 0.00846 loss_box_reg: 0.02487 loss_rpn_cls: 0.003188 loss_rpn_loc: 0.001574 loss_D_img_s: 0.6987 loss_cls_pseudo: 0.007068 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003061 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6885 time: 1.0269 last_time: 1.4939 data_time: 0.0138 last_data_time: 0.0133 lr: 0.01 max_mem: 20425M +[03/21 14:18:05] d2.utils.events INFO: eta: 3:07:19 iter: 42159 total_loss: 1.422 loss_cls: 0.01058 loss_box_reg: 0.02131 loss_rpn_cls: 0.004236 loss_rpn_loc: 0.001513 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.007475 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003185 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6872 time: 1.0270 last_time: 1.4254 data_time: 0.0242 last_data_time: 0.0442 lr: 0.01 max_mem: 20425M +[03/21 14:18:33] d2.utils.events INFO: eta: 3:06:48 iter: 42179 total_loss: 1.438 loss_cls: 0.008261 loss_box_reg: 0.02144 loss_rpn_cls: 0.00189 loss_rpn_loc: 0.001213 loss_D_img_s: 0.7085 loss_cls_pseudo: 0.007992 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001423 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6713 time: 1.0272 last_time: 1.5459 data_time: 0.0195 last_data_time: 0.0238 lr: 0.01 max_mem: 20425M +[03/21 14:19:02] d2.utils.events INFO: eta: 3:06:12 iter: 42199 total_loss: 1.464 loss_cls: 0.008408 loss_box_reg: 0.02507 loss_rpn_cls: 0.002868 loss_rpn_loc: 0.002052 loss_D_img_s: 0.698 loss_cls_pseudo: 0.006606 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001887 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6841 time: 1.0274 last_time: 1.3771 data_time: 0.0180 last_data_time: 0.0241 lr: 0.01 max_mem: 20425M +[03/21 14:19:31] d2.utils.events INFO: eta: 3:05:41 iter: 42219 total_loss: 1.455 loss_cls: 0.01025 loss_box_reg: 0.03029 loss_rpn_cls: 0.002563 loss_rpn_loc: 0.001778 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.008582 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001448 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6791 time: 1.0276 last_time: 1.3560 data_time: 0.0205 last_data_time: 0.0279 lr: 0.01 max_mem: 20425M +[03/21 14:20:00] d2.utils.events INFO: eta: 3:05:12 iter: 42239 total_loss: 1.445 loss_cls: 0.01005 loss_box_reg: 0.02486 loss_rpn_cls: 0.002616 loss_rpn_loc: 0.001897 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.005356 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001487 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7013 time: 1.0278 last_time: 1.5142 data_time: 0.0163 last_data_time: 0.0123 lr: 0.01 max_mem: 20425M +[03/21 14:20:30] d2.utils.events INFO: eta: 3:04:45 iter: 42259 total_loss: 1.438 loss_cls: 0.0105 loss_box_reg: 0.02376 loss_rpn_cls: 0.004159 loss_rpn_loc: 0.002104 loss_D_img_s: 0.7123 loss_cls_pseudo: 0.004932 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001153 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6704 time: 1.0281 last_time: 1.4582 data_time: 0.0144 last_data_time: 0.0121 lr: 0.01 max_mem: 20425M +[03/21 14:21:00] d2.utils.events INFO: eta: 3:04:21 iter: 42279 total_loss: 1.429 loss_cls: 0.006492 loss_box_reg: 0.02191 loss_rpn_cls: 0.001417 loss_rpn_loc: 0.001356 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.00692 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001458 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6872 time: 1.0283 last_time: 1.3341 data_time: 0.0157 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 14:21:30] d2.utils.events INFO: eta: 3:03:59 iter: 42299 total_loss: 1.448 loss_cls: 0.01107 loss_box_reg: 0.02954 loss_rpn_cls: 0.002758 loss_rpn_loc: 0.001982 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.007988 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004015 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 1.0285 last_time: 1.4687 data_time: 0.0194 last_data_time: 0.0085 lr: 0.01 max_mem: 20425M +[03/21 14:21:58] d2.utils.events INFO: eta: 3:03:29 iter: 42319 total_loss: 1.428 loss_cls: 0.007663 loss_box_reg: 0.02293 loss_rpn_cls: 0.002363 loss_rpn_loc: 0.001701 loss_D_img_s: 0.6986 loss_cls_pseudo: 0.005535 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0008643 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6742 time: 1.0287 last_time: 1.4318 data_time: 0.0157 last_data_time: 0.0104 lr: 0.01 max_mem: 20425M +[03/21 14:22:28] d2.utils.events INFO: eta: 3:03:14 iter: 42339 total_loss: 1.433 loss_cls: 0.008211 loss_box_reg: 0.01959 loss_rpn_cls: 0.003237 loss_rpn_loc: 0.001355 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.004122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.678 time: 1.0289 last_time: 1.6134 data_time: 0.0140 last_data_time: 0.0185 lr: 0.01 max_mem: 20425M +[03/21 14:22:57] d2.utils.events INFO: eta: 3:02:48 iter: 42359 total_loss: 1.431 loss_cls: 0.009478 loss_box_reg: 0.02148 loss_rpn_cls: 0.004111 loss_rpn_loc: 0.001638 loss_D_img_s: 0.6961 loss_cls_pseudo: 0.005408 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002244 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6796 time: 1.0291 last_time: 1.4887 data_time: 0.0170 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 14:23:25] d2.utils.events INFO: eta: 3:02:14 iter: 42379 total_loss: 1.435 loss_cls: 0.009947 loss_box_reg: 0.02449 loss_rpn_cls: 0.0029 loss_rpn_loc: 0.001195 loss_D_img_s: 0.704 loss_cls_pseudo: 0.007522 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 1.0293 last_time: 1.3918 data_time: 0.0133 last_data_time: 0.0103 lr: 0.01 max_mem: 20425M +[03/21 14:23:55] d2.utils.events INFO: eta: 3:01:48 iter: 42399 total_loss: 1.425 loss_cls: 0.008296 loss_box_reg: 0.02485 loss_rpn_cls: 0.001648 loss_rpn_loc: 0.001698 loss_D_img_s: 0.703 loss_cls_pseudo: 0.006079 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001633 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6688 time: 1.0295 last_time: 1.3747 data_time: 0.0136 last_data_time: 0.0135 lr: 0.01 max_mem: 20425M +[03/21 14:24:23] d2.utils.events INFO: eta: 3:01:19 iter: 42419 total_loss: 1.438 loss_cls: 0.007403 loss_box_reg: 0.02461 loss_rpn_cls: 0.001967 loss_rpn_loc: 0.001757 loss_D_img_s: 0.7132 loss_cls_pseudo: 0.007284 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0009993 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.662 time: 1.0297 last_time: 1.4718 data_time: 0.0132 last_data_time: 0.0118 lr: 0.01 max_mem: 20425M +[03/21 14:24:51] d2.utils.events INFO: eta: 3:00:47 iter: 42439 total_loss: 1.406 loss_cls: 0.00918 loss_box_reg: 0.02098 loss_rpn_cls: 0.002971 loss_rpn_loc: 0.001627 loss_D_img_s: 0.6829 loss_cls_pseudo: 0.005147 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001915 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 1.0298 last_time: 1.5006 data_time: 0.0137 last_data_time: 0.0115 lr: 0.01 max_mem: 20425M +[03/21 14:25:21] d2.utils.events INFO: eta: 3:00:24 iter: 42459 total_loss: 1.447 loss_cls: 0.009211 loss_box_reg: 0.0234 loss_rpn_cls: 0.002069 loss_rpn_loc: 0.001503 loss_D_img_s: 0.6697 loss_cls_pseudo: 0.006031 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001928 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7284 time: 1.0300 last_time: 1.4916 data_time: 0.0188 last_data_time: 0.0094 lr: 0.01 max_mem: 20425M +[03/21 14:25:50] d2.utils.events INFO: eta: 3:00:00 iter: 42479 total_loss: 1.443 loss_cls: 0.01168 loss_box_reg: 0.02483 loss_rpn_cls: 0.003702 loss_rpn_loc: 0.001915 loss_D_img_s: 0.6623 loss_cls_pseudo: 0.01258 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002371 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.723 time: 1.0302 last_time: 1.4701 data_time: 0.0192 last_data_time: 0.0102 lr: 0.01 max_mem: 20425M +[03/21 14:26:18] d2.utils.events INFO: eta: 2:59:24 iter: 42499 total_loss: 1.463 loss_cls: 0.008209 loss_box_reg: 0.02293 loss_rpn_cls: 0.002428 loss_rpn_loc: 0.001844 loss_D_img_s: 0.7023 loss_cls_pseudo: 0.0168 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.004447 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.0304 last_time: 1.3757 data_time: 0.0167 last_data_time: 0.0179 lr: 0.01 max_mem: 20425M +[03/21 14:26:47] d2.utils.events INFO: eta: 2:58:58 iter: 42519 total_loss: 1.456 loss_cls: 0.01161 loss_box_reg: 0.02465 loss_rpn_cls: 0.007191 loss_rpn_loc: 0.002167 loss_D_img_s: 0.6733 loss_cls_pseudo: 0.009309 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002266 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7056 time: 1.0306 last_time: 1.5094 data_time: 0.0150 last_data_time: 0.0136 lr: 0.01 max_mem: 20425M +[03/21 14:27:17] d2.utils.events INFO: eta: 2:58:40 iter: 42539 total_loss: 1.446 loss_cls: 0.008618 loss_box_reg: 0.02014 loss_rpn_cls: 0.002931 loss_rpn_loc: 0.001401 loss_D_img_s: 0.6817 loss_cls_pseudo: 0.009209 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001797 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7065 time: 1.0308 last_time: 1.4487 data_time: 0.0167 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 14:27:45] d2.utils.events INFO: eta: 2:58:12 iter: 42559 total_loss: 1.442 loss_cls: 0.01094 loss_box_reg: 0.02408 loss_rpn_cls: 0.003856 loss_rpn_loc: 0.001579 loss_D_img_s: 0.6742 loss_cls_pseudo: 0.007348 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001331 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7183 time: 1.0310 last_time: 1.4313 data_time: 0.0130 last_data_time: 0.0125 lr: 0.01 max_mem: 20425M +[03/21 14:28:15] d2.utils.events INFO: eta: 2:57:49 iter: 42579 total_loss: 1.448 loss_cls: 0.009173 loss_box_reg: 0.02548 loss_rpn_cls: 0.002427 loss_rpn_loc: 0.001675 loss_D_img_s: 0.6406 loss_cls_pseudo: 0.008149 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002201 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7439 time: 1.0312 last_time: 1.3853 data_time: 0.0136 last_data_time: 0.0119 lr: 0.01 max_mem: 20425M +[03/21 14:28:44] d2.utils.events INFO: eta: 2:57:20 iter: 42599 total_loss: 1.446 loss_cls: 0.007887 loss_box_reg: 0.02254 loss_rpn_cls: 0.001958 loss_rpn_loc: 0.001552 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.01432 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002545 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6962 time: 1.0314 last_time: 1.3773 data_time: 0.0167 last_data_time: 0.0237 lr: 0.01 max_mem: 20425M +[03/21 14:29:13] d2.utils.events INFO: eta: 2:56:49 iter: 42619 total_loss: 1.439 loss_cls: 0.009512 loss_box_reg: 0.02486 loss_rpn_cls: 0.003375 loss_rpn_loc: 0.001682 loss_D_img_s: 0.6845 loss_cls_pseudo: 0.007757 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7071 time: 1.0316 last_time: 1.3701 data_time: 0.0145 last_data_time: 0.0169 lr: 0.01 max_mem: 20425M +[03/21 14:29:42] d2.utils.events INFO: eta: 2:56:17 iter: 42639 total_loss: 1.443 loss_cls: 0.007994 loss_box_reg: 0.02437 loss_rpn_cls: 0.002166 loss_rpn_loc: 0.001457 loss_D_img_s: 0.6772 loss_cls_pseudo: 0.006368 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001981 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.0318 last_time: 1.4481 data_time: 0.0159 last_data_time: 0.0228 lr: 0.01 max_mem: 20425M +[03/21 14:30:10] d2.utils.events INFO: eta: 2:55:54 iter: 42659 total_loss: 1.458 loss_cls: 0.01176 loss_box_reg: 0.02831 loss_rpn_cls: 0.003472 loss_rpn_loc: 0.001761 loss_D_img_s: 0.716 loss_cls_pseudo: 0.009339 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001592 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 1.0320 last_time: 1.4111 data_time: 0.0194 last_data_time: 0.0348 lr: 0.01 max_mem: 20425M +[03/21 14:30:39] d2.utils.events INFO: eta: 2:55:25 iter: 42679 total_loss: 1.444 loss_cls: 0.01136 loss_box_reg: 0.02164 loss_rpn_cls: 0.003866 loss_rpn_loc: 0.001787 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.01207 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.0322 last_time: 1.4367 data_time: 0.0199 last_data_time: 0.0122 lr: 0.01 max_mem: 20425M +[03/21 14:31:08] d2.utils.events INFO: eta: 2:54:56 iter: 42699 total_loss: 1.442 loss_cls: 0.009862 loss_box_reg: 0.02326 loss_rpn_cls: 0.001735 loss_rpn_loc: 0.001459 loss_D_img_s: 0.7009 loss_cls_pseudo: 0.009672 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002365 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6755 time: 1.0324 last_time: 1.4366 data_time: 0.0139 last_data_time: 0.0105 lr: 0.01 max_mem: 20425M +[03/21 14:31:36] d2.utils.events INFO: eta: 2:54:22 iter: 42719 total_loss: 1.42 loss_cls: 0.0107 loss_box_reg: 0.02266 loss_rpn_cls: 0.001596 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.005976 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001359 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6788 time: 1.0326 last_time: 1.5366 data_time: 0.0158 last_data_time: 0.0092 lr: 0.01 max_mem: 20425M +[03/21 14:32:05] d2.utils.events INFO: eta: 2:53:53 iter: 42739 total_loss: 1.43 loss_cls: 0.008206 loss_box_reg: 0.02274 loss_rpn_cls: 0.00127 loss_rpn_loc: 0.001062 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.00883 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001589 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 1.0328 last_time: 1.4480 data_time: 0.0174 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 14:32:34] d2.utils.events INFO: eta: 2:53:23 iter: 42759 total_loss: 1.439 loss_cls: 0.009848 loss_box_reg: 0.02707 loss_rpn_cls: 0.003267 loss_rpn_loc: 0.001307 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.009602 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002192 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.0329 last_time: 1.5144 data_time: 0.0215 last_data_time: 0.0093 lr: 0.01 max_mem: 20425M +[03/21 14:33:03] d2.utils.events INFO: eta: 2:52:52 iter: 42779 total_loss: 1.43 loss_cls: 0.01287 loss_box_reg: 0.02042 loss_rpn_cls: 0.00257 loss_rpn_loc: 0.001281 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.008594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001332 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6691 time: 1.0331 last_time: 1.3451 data_time: 0.0175 last_data_time: 0.0179 lr: 0.01 max_mem: 20425M +[03/21 14:33:32] d2.utils.events INFO: eta: 2:52:26 iter: 42799 total_loss: 1.435 loss_cls: 0.009683 loss_box_reg: 0.02182 loss_rpn_cls: 0.001378 loss_rpn_loc: 0.001516 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.007953 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00158 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 1.0333 last_time: 1.4667 data_time: 0.0155 last_data_time: 0.0110 lr: 0.01 max_mem: 20425M +[03/21 14:34:01] d2.utils.events INFO: eta: 2:51:55 iter: 42819 total_loss: 1.443 loss_cls: 0.008156 loss_box_reg: 0.02506 loss_rpn_cls: 0.003837 loss_rpn_loc: 0.001623 loss_D_img_s: 0.678 loss_cls_pseudo: 0.005579 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001538 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7045 time: 1.0335 last_time: 1.3621 data_time: 0.0215 last_data_time: 0.0099 lr: 0.01 max_mem: 20425M +[03/21 14:34:31] d2.utils.events INFO: eta: 2:51:35 iter: 42839 total_loss: 1.438 loss_cls: 0.01066 loss_box_reg: 0.02432 loss_rpn_cls: 0.00292 loss_rpn_loc: 0.001723 loss_D_img_s: 0.6858 loss_cls_pseudo: 0.009251 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003524 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 1.0338 last_time: 1.5640 data_time: 0.0240 last_data_time: 0.0419 lr: 0.01 max_mem: 20425M +[03/21 14:35:00] d2.utils.events INFO: eta: 2:51:04 iter: 42859 total_loss: 1.444 loss_cls: 0.008208 loss_box_reg: 0.02582 loss_rpn_cls: 0.001738 loss_rpn_loc: 0.001218 loss_D_img_s: 0.7118 loss_cls_pseudo: 0.008141 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001739 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6655 time: 1.0340 last_time: 1.3284 data_time: 0.0237 last_data_time: 0.0170 lr: 0.01 max_mem: 20425M +[03/21 14:35:31] d2.utils.events INFO: eta: 2:50:32 iter: 42879 total_loss: 1.418 loss_cls: 0.005922 loss_box_reg: 0.02075 loss_rpn_cls: 0.0009816 loss_rpn_loc: 0.001147 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.006931 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.0008655 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6722 time: 1.0342 last_time: 1.5608 data_time: 0.0229 last_data_time: 0.0242 lr: 0.01 max_mem: 20425M +[03/21 14:36:00] d2.utils.events INFO: eta: 2:50:11 iter: 42899 total_loss: 1.45 loss_cls: 0.01316 loss_box_reg: 0.02608 loss_rpn_cls: 0.003793 loss_rpn_loc: 0.002016 loss_D_img_s: 0.6969 loss_cls_pseudo: 0.008317 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001927 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 1.0344 last_time: 1.3064 data_time: 0.0215 last_data_time: 0.0236 lr: 0.01 max_mem: 20425M +[03/21 14:36:29] d2.utils.events INFO: eta: 2:49:46 iter: 42919 total_loss: 1.462 loss_cls: 0.009948 loss_box_reg: 0.02191 loss_rpn_cls: 0.005084 loss_rpn_loc: 0.001938 loss_D_img_s: 0.6836 loss_cls_pseudo: 0.0063 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001689 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.701 time: 1.0346 last_time: 1.2917 data_time: 0.0200 last_data_time: 0.0100 lr: 0.01 max_mem: 20425M +[03/21 14:36:59] d2.utils.events INFO: eta: 2:49:22 iter: 42939 total_loss: 1.423 loss_cls: 0.008928 loss_box_reg: 0.02453 loss_rpn_cls: 0.001598 loss_rpn_loc: 0.001329 loss_D_img_s: 0.613 loss_cls_pseudo: 0.004819 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7534 time: 1.0348 last_time: 1.4862 data_time: 0.0203 last_data_time: 0.0410 lr: 0.01 max_mem: 20425M +[03/21 14:37:28] d2.utils.events INFO: eta: 2:49:00 iter: 42959 total_loss: 1.444 loss_cls: 0.01039 loss_box_reg: 0.028 loss_rpn_cls: 0.002232 loss_rpn_loc: 0.001687 loss_D_img_s: 0.7095 loss_cls_pseudo: 0.01213 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001856 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6752 time: 1.0350 last_time: 1.4146 data_time: 0.0184 last_data_time: 0.0385 lr: 0.01 max_mem: 20425M +[03/21 14:37:57] d2.utils.events INFO: eta: 2:48:28 iter: 42979 total_loss: 1.433 loss_cls: 0.009532 loss_box_reg: 0.0246 loss_rpn_cls: 0.002269 loss_rpn_loc: 0.001802 loss_D_img_s: 0.6855 loss_cls_pseudo: 0.01067 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003601 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.0352 last_time: 1.3430 data_time: 0.0229 last_data_time: 0.0339 lr: 0.01 max_mem: 20425M +[03/21 14:38:26] d2.data.common INFO: Serializing the dataset using: +[03/21 14:38:26] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 14:38:26] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 14:38:26] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 14:38:26] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 14:38:29] d2.evaluation.evaluator INFO: Inference done 11/993. 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ETA=0:00:02 +[03/21 14:40:44] d2.evaluation.evaluator INFO: Total inference time: 0:02:15.741174 (0.137390 s / iter per device, on 1 devices) +[03/21 14:40:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:17 (0.078125 s / iter per device, on 1 devices) +[03/21 14:40:44] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 14:40:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 14:40:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 14:40:44] d2.evaluation.testing INFO: copypaste: 0.6668,2.2978,0.3416 +[03/21 14:40:44] d2.data.common INFO: Serializing the dataset using: +[03/21 14:40:44] d2.data.common INFO: Serializing 993 elements to byte tensors and concatenating them all ... +[03/21 14:40:44] d2.data.common INFO: Serialized dataset takes 0.27 MiB +[03/21 14:40:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[03/21 14:40:44] d2.evaluation.evaluator INFO: Start inference on 993 batches +[03/21 14:40:47] d2.evaluation.evaluator INFO: Inference done 16/993. 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ETA=0:00:30 +[03/21 14:42:39] d2.evaluation.evaluator INFO: Inference done 812/993. Dataloading: 0.0603 s/iter. Inference: 0.0803 s/iter. Eval: 0.0003 s/iter. Total: 0.1410 s/iter. ETA=0:00:25 +[03/21 14:42:44] d2.evaluation.evaluator INFO: Inference done 849/993. Dataloading: 0.0602 s/iter. Inference: 0.0802 s/iter. Eval: 0.0003 s/iter. Total: 0.1408 s/iter. ETA=0:00:20 +[03/21 14:42:50] d2.evaluation.evaluator INFO: Inference done 885/993. Dataloading: 0.0602 s/iter. Inference: 0.0802 s/iter. Eval: 0.0003 s/iter. Total: 0.1409 s/iter. ETA=0:00:15 +[03/21 14:42:55] d2.evaluation.evaluator INFO: Inference done 920/993. Dataloading: 0.0602 s/iter. Inference: 0.0805 s/iter. Eval: 0.0003 s/iter. Total: 0.1410 s/iter. ETA=0:00:10 +[03/21 14:43:00] d2.evaluation.evaluator INFO: Inference done 957/993. Dataloading: 0.0602 s/iter. Inference: 0.0802 s/iter. Eval: 0.0003 s/iter. Total: 0.1408 s/iter. ETA=0:00:05 +[03/21 14:43:05] d2.evaluation.evaluator INFO: Total inference time: 0:02:18.991132 (0.140679 s / iter per device, on 1 devices) +[03/21 14:43:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:19 (0.080138 s / iter per device, on 1 devices) +[03/21 14:43:05] d2.engine.defaults INFO: Evaluation results for VOC2007_rsna_test in csv format: +[03/21 14:43:05] d2.evaluation.testing INFO: copypaste: Task: bbox +[03/21 14:43:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[03/21 14:43:05] d2.evaluation.testing INFO: copypaste: 0.2007,0.7893,0.1835 +[03/21 14:43:05] d2.utils.events INFO: eta: 2:48:01 iter: 42999 total_loss: 1.424 loss_cls: 0.009557 loss_box_reg: 0.02629 loss_rpn_cls: 0.002897 loss_rpn_loc: 0.001608 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.006116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001769 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6681 time: 1.0354 last_time: 1.4740 data_time: 0.0198 last_data_time: 0.0278 lr: 0.01 max_mem: 20425M +[03/21 14:43:33] d2.utils.events INFO: eta: 2:47:36 iter: 43019 total_loss: 1.432 loss_cls: 0.00763 loss_box_reg: 0.02156 loss_rpn_cls: 0.002137 loss_rpn_loc: 0.001365 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.006085 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.003391 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6674 time: 1.0355 last_time: 1.2966 data_time: 0.0196 last_data_time: 0.0350 lr: 0.01 max_mem: 20425M +[03/21 14:44:00] d2.utils.events INFO: eta: 2:47:08 iter: 43039 total_loss: 1.442 loss_cls: 0.009712 loss_box_reg: 0.02528 loss_rpn_cls: 0.005383 loss_rpn_loc: 0.001641 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.006898 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001417 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.69 time: 1.0357 last_time: 1.3832 data_time: 0.0221 last_data_time: 0.0108 lr: 0.01 max_mem: 20425M +[03/21 14:44:28] d2.utils.events INFO: eta: 2:46:39 iter: 43059 total_loss: 1.44 loss_cls: 0.01013 loss_box_reg: 0.02305 loss_rpn_cls: 0.003019 loss_rpn_loc: 0.001497 loss_D_img_s: 0.6867 loss_cls_pseudo: 0.007105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.002038 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 1.0359 last_time: 1.3622 data_time: 0.0218 last_data_time: 0.0316 lr: 0.01 max_mem: 20425M +[03/21 14:44:57] d2.utils.events INFO: eta: 2:46:25 iter: 43079 total_loss: 1.429 loss_cls: 0.007549 loss_box_reg: 0.02127 loss_rpn_cls: 0.003015 loss_rpn_loc: 0.00179 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.003464 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001504 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 1.0361 last_time: 1.3138 data_time: 0.0173 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 14:45:26] d2.utils.events INFO: eta: 2:46:11 iter: 43099 total_loss: 1.416 loss_cls: 0.005835 loss_box_reg: 0.02173 loss_rpn_cls: 0.00153 loss_rpn_loc: 0.001101 loss_D_img_s: 0.6998 loss_cls_pseudo: 0.005023 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001541 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6791 time: 1.0363 last_time: 1.5574 data_time: 0.0196 last_data_time: 0.0147 lr: 0.01 max_mem: 20425M +[03/21 14:45:55] d2.utils.events INFO: eta: 2:45:40 iter: 43119 total_loss: 1.451 loss_cls: 0.009223 loss_box_reg: 0.02812 loss_rpn_cls: 0.001927 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6733 loss_cls_pseudo: 0.009999 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001536 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6993 time: 1.0364 last_time: 1.4135 data_time: 0.0177 last_data_time: 0.0286 lr: 0.01 max_mem: 20425M +[03/21 14:46:25] d2.utils.events INFO: eta: 2:45:19 iter: 43139 total_loss: 1.453 loss_cls: 0.009067 loss_box_reg: 0.0228 loss_rpn_cls: 0.003431 loss_rpn_loc: 0.001943 loss_D_img_s: 0.709 loss_cls_pseudo: 0.008074 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.00138 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6846 time: 1.0367 last_time: 1.5861 data_time: 0.0197 last_data_time: 0.0120 lr: 0.01 max_mem: 20425M +[03/21 14:46:42] d2.engine.hooks INFO: Overall training speed: 43149 iterations in 12:25:37 (1.0368 s / it) +[03/21 14:46:42] d2.engine.hooks INFO: Total training time: 15:30:18 (3:04:41 on hooks) +[03/21 14:46:42] d2.utils.events INFO: eta: 2:45:04 iter: 43151 total_loss: 1.448 loss_cls: 0.00914 loss_box_reg: 0.02711 loss_rpn_cls: 0.004045 loss_rpn_loc: 0.002026 loss_D_img_s: 0.6657 loss_cls_pseudo: 0.007718 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.001677 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7171 time: 1.0368 last_time: 1.2638 data_time: 0.0172 last_data_time: 0.0138 lr: 0.01 max_mem: 20425M