fcos3d_simipu_nus_abl_oneten.txt

2021-08-16 16:28:16,966 - mmdet - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.7.7 (default, May  7 2020, 21:25:33) [GCC 7.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
PyTorch: 1.6.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.1 Product Build 20200208 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, 

TorchVision: 0.7.0
OpenCV: 4.5.2
MMCV: 1.3.4
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.1
MMDetection: 2.11.0
MMSegmentation: 0.13.0
MMDetection3D: 0.13.0+b15fc06
------------------------------------------------------------

2021-08-16 16:28:17,974 - mmdet - INFO - Distributed training: True
2021-08-16 16:28:18,830 - mmdet - INFO - Config:
dataset_type = 'NuScenesMonoDataset'
data_root = '/nfs/share_data/nuscenes/'
class_names = [
    'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle',
    'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
]
input_modality = dict(
    use_lidar=False,
    use_camera=True,
    use_radar=False,
    use_map=False,
    use_external=False)
img_norm_cfg = dict(
    mean=[103.53, 116.28, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False)
train_pipeline = [
    dict(type='LoadImageFromFileMono3D'),
    dict(
        type='LoadAnnotations3D',
        with_bbox=True,
        with_label=True,
        with_attr_label=True,
        with_bbox_3d=True,
        with_label_3d=True,
        with_bbox_depth=True),
    dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
    dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
    dict(
        type='Normalize',
        mean=[103.53, 116.28, 123.675],
        std=[1.0, 1.0, 1.0],
        to_rgb=False),
    dict(type='Pad', size_divisor=32),
    dict(
        type='DefaultFormatBundle3D',
        class_names=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ]),
    dict(
        type='Collect3D',
        keys=[
            'img', 'gt_bboxes', 'gt_labels', 'attr_labels', 'gt_bboxes_3d',
            'gt_labels_3d', 'centers2d', 'depths'
        ])
]
test_pipeline = [
    dict(type='LoadImageFromFileMono3D'),
    dict(
        type='MultiScaleFlipAug',
        scale_factor=1.0,
        flip=False,
        transforms=[
            dict(type='RandomFlip3D'),
            dict(
                type='Normalize',
                mean=[103.53, 116.28, 123.675],
                std=[1.0, 1.0, 1.0],
                to_rgb=False),
            dict(type='Pad', size_divisor=32),
            dict(
                type='DefaultFormatBundle3D',
                class_names=[
                    'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
                    'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
                    'barrier'
                ],
                with_label=False),
            dict(type='Collect3D', keys=['img'])
        ])
]
data = dict(
    samples_per_gpu=8,
    workers_per_gpu=8,
    train=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file=
        '/nfs/share_data/nuscenes/nuscenes_infos_train_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='LoadAnnotations3D',
                with_bbox=True,
                with_label=True,
                with_attr_label=True,
                with_bbox_3d=True,
                with_label_3d=True,
                with_bbox_depth=True),
            dict(type='Resize', img_scale=(1600, 900), keep_ratio=True),
            dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5),
            dict(
                type='Normalize',
                mean=[103.53, 116.28, 123.675],
                std=[1.0, 1.0, 1.0],
                to_rgb=False),
            dict(type='Pad', size_divisor=32),
            dict(
                type='DefaultFormatBundle3D',
                class_names=[
                    'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
                    'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone',
                    'barrier'
                ]),
            dict(
                type='Collect3D',
                keys=[
                    'img', 'gt_bboxes', 'gt_labels', 'attr_labels',
                    'gt_bboxes_3d', 'gt_labels_3d', 'centers2d', 'depths'
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=False,
        box_type_3d='Camera'),
    val=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='MultiScaleFlipAug',
                scale_factor=1.0,
                flip=False,
                transforms=[
                    dict(type='RandomFlip3D'),
                    dict(
                        type='Normalize',
                        mean=[103.53, 116.28, 123.675],
                        std=[1.0, 1.0, 1.0],
                        to_rgb=False),
                    dict(type='Pad', size_divisor=32),
                    dict(
                        type='DefaultFormatBundle3D',
                        class_names=[
                            'car', 'truck', 'trailer', 'bus',
                            'construction_vehicle', 'bicycle', 'motorcycle',
                            'pedestrian', 'traffic_cone', 'barrier'
                        ],
                        with_label=False),
                    dict(type='Collect3D', keys=['img'])
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=True,
        box_type_3d='Camera'),
    test=dict(
        type='NuScenesMonoDataset',
        data_root='/nfs/share_data/nuscenes/',
        ann_file='/nfs/share_data/nuscenes/nuscenes_infos_val_mono3d.coco.json',
        img_prefix='/nfs/share_data/nuscenes/',
        classes=[
            'car', 'truck', 'trailer', 'bus', 'construction_vehicle',
            'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier'
        ],
        pipeline=[
            dict(type='LoadImageFromFileMono3D'),
            dict(
                type='MultiScaleFlipAug',
                scale_factor=1.0,
                flip=False,
                transforms=[
                    dict(type='RandomFlip3D'),
                    dict(
                        type='Normalize',
                        mean=[103.53, 116.28, 123.675],
                        std=[1.0, 1.0, 1.0],
                        to_rgb=False),
                    dict(type='Pad', size_divisor=32),
                    dict(
                        type='DefaultFormatBundle3D',
                        class_names=[
                            'car', 'truck', 'trailer', 'bus',
                            'construction_vehicle', 'bicycle', 'motorcycle',
                            'pedestrian', 'traffic_cone', 'barrier'
                        ],
                        with_label=False),
                    dict(type='Collect3D', keys=['img'])
                ])
        ],
        modality=dict(
            use_lidar=False,
            use_camera=True,
            use_radar=False,
            use_map=False,
            use_external=False),
        test_mode=True,
        box_type_3d='Camera'))
evaluation = dict(start=10, interval=2)
model = dict(
    type='FCOSMono3D',
    backbone=dict(
        type='ResNet',
        depth=50,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=1,
        norm_cfg=dict(type='SyncBN', requires_grad=True),
        norm_eval=False,
        style='pytorch',
        dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False),
        stage_with_dcn=(False, False, True, True)),
    neck=dict(
        type='FPN',
        in_channels=[256, 512, 1024, 2048],
        out_channels=256,
        start_level=1,
        add_extra_convs=True,
        extra_convs_on_inputs=False,
        num_outs=5,
        relu_before_extra_convs=True),
    bbox_head=dict(
        type='FCOSMono3DHead',
        num_classes=10,
        in_channels=256,
        stacked_convs=2,
        feat_channels=256,
        use_direction_classifier=True,
        diff_rad_by_sin=True,
        pred_attrs=True,
        pred_velo=True,
        dir_offset=0.7854,
        strides=[8, 16, 32, 64, 128],
        group_reg_dims=(2, 1, 3, 1, 2),
        cls_branch=(256, ),
        reg_branch=((256, ), (256, ), (256, ), (256, ), ()),
        dir_branch=(256, ),
        attr_branch=(256, ),
        loss_cls=dict(
            type='FocalLoss',
            use_sigmoid=True,
            gamma=2.0,
            alpha=0.25,
            loss_weight=1.0),
        loss_bbox=dict(
            type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0),
        loss_dir=dict(
            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
        loss_attr=dict(
            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
        loss_centerness=dict(
            type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
        norm_on_bbox=True,
        centerness_on_reg=True,
        center_sampling=True,
        conv_bias=True,
        dcn_on_last_conv=True),
    train_cfg=dict(
        allowed_border=0,
        code_weight=[1.0, 1.0, 0.2, 1.0, 1.0, 1.0, 1.0, 0.05, 0.05],
        pos_weight=-1,
        debug=False),
    test_cfg=dict(
        use_rotate_nms=True,
        nms_across_levels=False,
        nms_pre=1000,
        nms_thr=0.8,
        score_thr=0.05,
        min_bbox_size=0,
        max_per_img=200))
optimizer = dict(
    type='SGD',
    lr=0.008,
    momentum=0.9,
    weight_decay=0.0001,
    paramwise_cfg=dict(bias_lr_mult=2.0, bias_decay_mult=0.0))
optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
lr_config = dict(
    policy='step',
    warmup='linear',
    warmup_iters=500,
    warmup_ratio=0.3333333333333333,
    step=[8, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
checkpoint_config = dict(interval=1)
log_config = dict(
    interval=50,
    hooks=[dict(type='TextLoggerHook'),
           dict(type='TensorboardLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
work_dir = 'nfs/lzy/fcos3d_ablation/oneten'
load_from = 'checkpoints/mono3d_waymo_oneten.pth'
resume_from = None
workflow = [('train', 1)]
total_epochs = 12
gpu_ids = range(0, 8)

2021-08-16 16:28:18,831 - mmdet - INFO - Set random seed to 0, deterministic: False
2021-08-16 16:28:19,366 - mmdet - INFO - Model:
FCOSMono3D(
  (backbone): ResNet(
    (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
    (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (relu): ReLU(inplace=True)
    (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
    (layer1): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer2): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (3): Bottleneck(
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer3): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (3): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (4): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (5): Bottleneck(
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
    (layer4): ResLayer(
      (0): Bottleneck(
        (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
        (downsample): Sequential(
          (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        )
      )
      (1): Bottleneck(
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
      (2): Bottleneck(
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv2): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(512, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (relu): ReLU(inplace=True)
      )
    )
  )
  (neck): FPN(
    (lateral_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
      )
      (1): ConvModule(
        (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))
      )
      (2): ConvModule(
        (conv): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))
      )
    )
    (fpn_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (1): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (2): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (3): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      )
      (4): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      )
    )
  )
  (bbox_head): FCOSMono3DHead(
    (loss_cls): FocalLoss()
    (loss_bbox): SmoothL1Loss()
    (loss_dir): CrossEntropyLoss()
    (loss_attr): CrossEntropyLoss()
    (cls_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
      (1): ConvModule(
        (conv): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (reg_convs): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
      (1): ConvModule(
        (conv): ModulatedDeformConv2dPack(
          (conv_offset): Conv2d(256, 27, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        )
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_cls_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_cls): Conv2d(256, 10, kernel_size=(1, 1), stride=(1, 1))
    (conv_reg_prevs): ModuleList(
      (0): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (1): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (2): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (3): ModuleList(
        (0): ConvModule(
          (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
          (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
          (activate): ReLU(inplace=True)
        )
      )
      (4): None
    )
    (conv_regs): ModuleList(
      (0): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
      (1): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
      (2): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))
      (3): Conv2d(256, 1, kernel_size=(1, 1), stride=(1, 1))
      (4): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
    )
    (conv_dir_cls_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_dir_cls): Conv2d(256, 2, kernel_size=(1, 1), stride=(1, 1))
    (conv_attr_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 256, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_attr): Conv2d(256, 9, kernel_size=(1, 1), stride=(1, 1))
    (conv_centerness_prev): ModuleList(
      (0): ConvModule(
        (conv): Conv2d(256, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (gn): GroupNorm(32, 64, eps=1e-05, affine=True)
        (activate): ReLU(inplace=True)
      )
    )
    (conv_centerness): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
    (scales): ModuleList(
      (0): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (1): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (2): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (3): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
      (4): ModuleList(
        (0): Scale()
        (1): Scale()
        (2): Scale()
      )
    )
    (loss_centerness): CrossEntropyLoss()
  )
)
2021-08-16 16:28:59,769 - mmdet - INFO - load checkpoint from checkpoints/mono3d_waymo_oneten.pth
2021-08-16 16:28:59,780 - mmdet - INFO - Use load_from_local loader
2021-08-16 16:28:59,905 - mmdet - WARNING - The model and loaded state dict do not match exactly

missing keys in source state_dict: backbone.layer3.0.conv2.conv_offset.weight, backbone.layer3.0.conv2.conv_offset.bias, backbone.layer3.1.conv2.conv_offset.weight, backbone.layer3.1.conv2.conv_offset.bias, backbone.layer3.2.conv2.conv_offset.weight, backbone.layer3.2.conv2.conv_offset.bias, backbone.layer3.3.conv2.conv_offset.weight, backbone.layer3.3.conv2.conv_offset.bias, backbone.layer3.4.conv2.conv_offset.weight, backbone.layer3.4.conv2.conv_offset.bias, backbone.layer3.5.conv2.conv_offset.weight, backbone.layer3.5.conv2.conv_offset.bias, backbone.layer4.0.conv2.conv_offset.weight, backbone.layer4.0.conv2.conv_offset.bias, backbone.layer4.1.conv2.conv_offset.weight, backbone.layer4.1.conv2.conv_offset.bias, backbone.layer4.2.conv2.conv_offset.weight, backbone.layer4.2.conv2.conv_offset.bias, neck.lateral_convs.0.conv.weight, neck.lateral_convs.0.conv.bias, neck.lateral_convs.1.conv.weight, neck.lateral_convs.1.conv.bias, neck.lateral_convs.2.conv.weight, neck.lateral_convs.2.conv.bias, neck.fpn_convs.0.conv.weight, neck.fpn_convs.0.conv.bias, neck.fpn_convs.1.conv.weight, neck.fpn_convs.1.conv.bias, neck.fpn_convs.2.conv.weight, neck.fpn_convs.2.conv.bias, neck.fpn_convs.3.conv.weight, neck.fpn_convs.3.conv.bias, neck.fpn_convs.4.conv.weight, neck.fpn_convs.4.conv.bias, bbox_head.cls_convs.0.conv.weight, bbox_head.cls_convs.0.conv.bias, bbox_head.cls_convs.0.gn.weight, bbox_head.cls_convs.0.gn.bias, bbox_head.cls_convs.1.conv.weight, bbox_head.cls_convs.1.conv.bias, bbox_head.cls_convs.1.conv.conv_offset.weight, bbox_head.cls_convs.1.conv.conv_offset.bias, bbox_head.cls_convs.1.gn.weight, bbox_head.cls_convs.1.gn.bias, bbox_head.reg_convs.0.conv.weight, bbox_head.reg_convs.0.conv.bias, bbox_head.reg_convs.0.gn.weight, bbox_head.reg_convs.0.gn.bias, bbox_head.reg_convs.1.conv.weight, bbox_head.reg_convs.1.conv.bias, bbox_head.reg_convs.1.conv.conv_offset.weight, bbox_head.reg_convs.1.conv.conv_offset.bias, bbox_head.reg_convs.1.gn.weight, bbox_head.reg_convs.1.gn.bias, bbox_head.conv_cls_prev.0.conv.weight, bbox_head.conv_cls_prev.0.conv.bias, bbox_head.conv_cls_prev.0.gn.weight, bbox_head.conv_cls_prev.0.gn.bias, bbox_head.conv_cls.weight, bbox_head.conv_cls.bias, bbox_head.conv_reg_prevs.0.0.conv.weight, bbox_head.conv_reg_prevs.0.0.conv.bias, bbox_head.conv_reg_prevs.0.0.gn.weight, bbox_head.conv_reg_prevs.0.0.gn.bias, bbox_head.conv_reg_prevs.1.0.conv.weight, bbox_head.conv_reg_prevs.1.0.conv.bias, bbox_head.conv_reg_prevs.1.0.gn.weight, bbox_head.conv_reg_prevs.1.0.gn.bias, bbox_head.conv_reg_prevs.2.0.conv.weight, bbox_head.conv_reg_prevs.2.0.conv.bias, bbox_head.conv_reg_prevs.2.0.gn.weight, bbox_head.conv_reg_prevs.2.0.gn.bias, bbox_head.conv_reg_prevs.3.0.conv.weight, bbox_head.conv_reg_prevs.3.0.conv.bias, bbox_head.conv_reg_prevs.3.0.gn.weight, bbox_head.conv_reg_prevs.3.0.gn.bias, bbox_head.conv_regs.0.weight, bbox_head.conv_regs.0.bias, bbox_head.conv_regs.1.weight, bbox_head.conv_regs.1.bias, bbox_head.conv_regs.2.weight, bbox_head.conv_regs.2.bias, bbox_head.conv_regs.3.weight, bbox_head.conv_regs.3.bias, bbox_head.conv_regs.4.weight, bbox_head.conv_regs.4.bias, bbox_head.conv_dir_cls_prev.0.conv.weight, bbox_head.conv_dir_cls_prev.0.conv.bias, bbox_head.conv_dir_cls_prev.0.gn.weight, bbox_head.conv_dir_cls_prev.0.gn.bias, bbox_head.conv_dir_cls.weight, bbox_head.conv_dir_cls.bias, bbox_head.conv_attr_prev.0.conv.weight, bbox_head.conv_attr_prev.0.conv.bias, bbox_head.conv_attr_prev.0.gn.weight, bbox_head.conv_attr_prev.0.gn.bias, bbox_head.conv_attr.weight, bbox_head.conv_attr.bias, bbox_head.conv_centerness_prev.0.conv.weight, bbox_head.conv_centerness_prev.0.conv.bias, bbox_head.conv_centerness_prev.0.gn.weight, bbox_head.conv_centerness_prev.0.gn.bias, bbox_head.conv_centerness.weight, bbox_head.conv_centerness.bias, bbox_head.scales.0.0.scale, bbox_head.scales.0.1.scale, bbox_head.scales.0.2.scale, bbox_head.scales.1.0.scale, bbox_head.scales.1.1.scale, bbox_head.scales.1.2.scale, bbox_head.scales.2.0.scale, bbox_head.scales.2.1.scale, bbox_head.scales.2.2.scale, bbox_head.scales.3.0.scale, bbox_head.scales.3.1.scale, bbox_head.scales.3.2.scale, bbox_head.scales.4.0.scale, bbox_head.scales.4.1.scale, bbox_head.scales.4.2.scale

2021-08-16 16:28:59,906 - mmdet - INFO - Start running, host: root@half-dcn, work_dir: /nfs/lizhenyu1/workspace/python_workspace/mmdetection3d/nfs/lzy/fcos3d_ablation/oneten
2021-08-16 16:28:59,906 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2021-08-16 16:30:58,144 - mmdet - INFO - Epoch [1][50/2217]	lr: 3.189e-03, eta: 17:25:58, time: 2.363, data_time: 0.249, memory: 20144, loss_cls: 0.8050, loss_offset: 1.3732, loss_depth: 3.9061, loss_size: 3.1284, loss_rotsin: 0.5609, loss_centerness: 0.6189, loss_velo: 0.0628, loss_dir: 0.6951, loss_attr: 1.6726, loss: 12.8229, grad_norm: 38.2134
2021-08-16 16:32:41,190 - mmdet - INFO - Epoch [1][100/2217]	lr: 3.723e-03, eta: 16:17:11, time: 2.061, data_time: 0.051, memory: 20170, loss_cls: 0.5821, loss_offset: 1.2511, loss_depth: 2.3540, loss_size: 2.3683, loss_rotsin: 0.5366, loss_centerness: 0.6011, loss_velo: 0.0602, loss_dir: 0.6923, loss_attr: 1.3200, loss: 9.7657, grad_norm: 17.6132
2021-08-16 16:34:24,527 - mmdet - INFO - Epoch [1][150/2217]	lr: 4.256e-03, eta: 15:53:58, time: 2.067, data_time: 0.050, memory: 20170, loss_cls: 0.5355, loss_offset: 1.1922, loss_depth: 2.1691, loss_size: 2.0558, loss_rotsin: 0.5228, loss_centerness: 0.5999, loss_velo: 0.0604, loss_dir: 0.6922, loss_attr: 1.1718, loss: 8.9997, grad_norm: 18.1335
2021-08-16 16:36:08,000 - mmdet - INFO - Epoch [1][200/2217]	lr: 4.789e-03, eta: 15:41:47, time: 2.069, data_time: 0.048, memory: 20170, loss_cls: 0.4969, loss_offset: 1.1279, loss_depth: 2.0394, loss_size: 1.9008, loss_rotsin: 0.5246, loss_centerness: 0.5990, loss_velo: 0.0615, loss_dir: 0.6897, loss_attr: 1.0840, loss: 8.5238, grad_norm: 18.3014
2021-08-16 16:37:51,015 - mmdet - INFO - Epoch [1][250/2217]	lr: 5.323e-03, eta: 15:33:00, time: 2.060, data_time: 0.050, memory: 20170, loss_cls: 0.4826, loss_offset: 1.0960, loss_depth: 2.0908, loss_size: 1.8783, loss_rotsin: 0.5229, loss_centerness: 0.5981, loss_velo: 0.0598, loss_dir: 0.6951, loss_attr: 1.0440, loss: 8.4676, grad_norm: 16.5087
2021-08-16 16:39:34,330 - mmdet - INFO - Epoch [1][300/2217]	lr: 5.856e-03, eta: 15:27:00, time: 2.066, data_time: 0.049, memory: 20170, loss_cls: 0.4671, loss_offset: 1.0654, loss_depth: 2.8196, loss_size: 1.7720, loss_rotsin: 0.5196, loss_centerness: 0.5967, loss_velo: 0.0614, loss_dir: 0.6900, loss_attr: 1.0292, loss: 9.0211, grad_norm: 18.4612
2021-08-16 16:41:17,391 - mmdet - INFO - Epoch [1][350/2217]	lr: 6.389e-03, eta: 15:21:54, time: 2.061, data_time: 0.049, memory: 20170, loss_cls: 0.4617, loss_offset: 1.0803, loss_depth: 2.3834, loss_size: 1.7564, loss_rotsin: 0.5210, loss_centerness: 0.5961, loss_velo: 0.0638, loss_dir: 0.6883, loss_attr: 1.0028, loss: 8.5537, grad_norm: 17.7583
2021-08-16 16:43:00,622 - mmdet - INFO - Epoch [1][400/2217]	lr: 6.923e-03, eta: 15:17:50, time: 2.065, data_time: 0.050, memory: 20170, loss_cls: 0.4498, loss_offset: 1.0463, loss_depth: 2.2897, loss_size: 1.6570, loss_rotsin: 0.5213, loss_centerness: 0.5947, loss_velo: 0.0614, loss_dir: 0.6901, loss_attr: 0.9487, loss: 8.2590, grad_norm: 16.4185
2021-08-16 16:44:44,446 - mmdet - INFO - Epoch [1][450/2217]	lr: 7.456e-03, eta: 15:14:52, time: 2.076, data_time: 0.048, memory: 20170, loss_cls: 0.4456, loss_offset: 1.0261, loss_depth: 1.6762, loss_size: 1.6293, loss_rotsin: 0.5250, loss_centerness: 0.5938, loss_velo: 0.0614, loss_dir: 0.6878, loss_attr: 0.9219, loss: 7.5670, grad_norm: 12.3010
2021-08-16 16:46:27,986 - mmdet - INFO - Epoch [1][500/2217]	lr: 7.989e-03, eta: 15:11:54, time: 2.071, data_time: 0.050, memory: 20170, loss_cls: 0.4434, loss_offset: 1.0168, loss_depth: 2.0131, loss_size: 1.5567, loss_rotsin: 0.5225, loss_centerness: 0.5939, loss_velo: 0.0602, loss_dir: 0.6885, loss_attr: 0.9316, loss: 7.8267, grad_norm: 12.6651
2021-08-16 16:48:10,963 - mmdet - INFO - Epoch [1][550/2217]	lr: 8.000e-03, eta: 15:08:43, time: 2.060, data_time: 0.047, memory: 20170, loss_cls: 0.4277, loss_offset: 0.9955, loss_depth: 1.5270, loss_size: 1.4948, loss_rotsin: 0.5178, loss_centerness: 0.5929, loss_velo: 0.0605, loss_dir: 0.6854, loss_attr: 0.8836, loss: 7.1852, grad_norm: 11.2509
2021-08-16 16:49:53,866 - mmdet - INFO - Epoch [1][600/2217]	lr: 8.000e-03, eta: 15:05:43, time: 2.058, data_time: 0.047, memory: 20170, loss_cls: 0.4287, loss_offset: 0.9870, loss_depth: 1.6196, loss_size: 1.4677, loss_rotsin: 0.5049, loss_centerness: 0.5930, loss_velo: 0.0626, loss_dir: 0.6826, loss_attr: 0.8852, loss: 7.2315, grad_norm: 10.8413
2021-08-16 16:51:37,030 - mmdet - INFO - Epoch [1][650/2217]	lr: 8.000e-03, eta: 15:03:06, time: 2.063, data_time: 0.050, memory: 20170, loss_cls: 0.4221, loss_offset: 0.9616, loss_depth: 1.4105, loss_size: 1.4638, loss_rotsin: 0.5010, loss_centerness: 0.5920, loss_velo: 0.0619, loss_dir: 0.6820, loss_attr: 0.8768, loss: 6.9718, grad_norm: 9.0736
2021-08-16 16:53:20,538 - mmdet - INFO - Epoch [1][700/2217]	lr: 8.000e-03, eta: 15:00:49, time: 2.070, data_time: 0.049, memory: 20170, loss_cls: 0.4153, loss_offset: 0.9700, loss_depth: 1.6926, loss_size: 1.4445, loss_rotsin: 0.5121, loss_centerness: 0.5920, loss_velo: 0.0599, loss_dir: 0.6810, loss_attr: 0.8376, loss: 7.2051, grad_norm: 9.8539
2021-08-16 16:55:03,358 - mmdet - INFO - Epoch [1][750/2217]	lr: 8.000e-03, eta: 14:58:12, time: 2.056, data_time: 0.049, memory: 20170, loss_cls: 0.4078, loss_offset: 0.9546, loss_depth: 1.4394, loss_size: 1.3821, loss_rotsin: 0.5011, loss_centerness: 0.5910, loss_velo: 0.0625, loss_dir: 0.6799, loss_attr: 0.8351, loss: 6.8535, grad_norm: 9.0669
2021-08-16 16:56:46,382 - mmdet - INFO - Epoch [1][800/2217]	lr: 8.000e-03, eta: 14:55:49, time: 2.060, data_time: 0.049, memory: 20170, loss_cls: 0.4070, loss_offset: 0.9301, loss_depth: 1.3061, loss_size: 1.3603, loss_rotsin: 0.4992, loss_centerness: 0.5900, loss_velo: 0.0643, loss_dir: 0.6745, loss_attr: 0.8139, loss: 6.6454, grad_norm: 8.2765
2021-08-16 16:58:29,385 - mmdet - INFO - Epoch [1][850/2217]	lr: 8.000e-03, eta: 14:53:31, time: 2.060, data_time: 0.048, memory: 20170, loss_cls: 0.3990, loss_offset: 0.9268, loss_depth: 1.2917, loss_size: 1.3341, loss_rotsin: 0.4885, loss_centerness: 0.5896, loss_velo: 0.0615, loss_dir: 0.6781, loss_attr: 0.7773, loss: 6.5467, grad_norm: 7.7154
2021-08-16 17:00:12,584 - mmdet - INFO - Epoch [1][900/2217]	lr: 8.000e-03, eta: 14:51:21, time: 2.064, data_time: 0.051, memory: 20170, loss_cls: 0.3946, loss_offset: 0.9214, loss_depth: 1.2819, loss_size: 1.3079, loss_rotsin: 0.4942, loss_centerness: 0.5896, loss_velo: 0.0588, loss_dir: 0.6734, loss_attr: 0.7802, loss: 6.5019, grad_norm: 8.0818
2021-08-16 17:01:55,765 - mmdet - INFO - Epoch [1][950/2217]	lr: 8.000e-03, eta: 14:49:14, time: 2.064, data_time: 0.051, memory: 20170, loss_cls: 0.3894, loss_offset: 0.9072, loss_depth: 1.3102, loss_size: 1.3093, loss_rotsin: 0.4818, loss_centerness: 0.5891, loss_velo: 0.0625, loss_dir: 0.6724, loss_attr: 0.7915, loss: 6.5133, grad_norm: 8.2521
2021-08-16 17:03:39,301 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-16 17:03:39,301 - mmdet - INFO - Epoch [1][1000/2217]	lr: 8.000e-03, eta: 14:47:18, time: 2.071, data_time: 0.049, memory: 20170, loss_cls: 0.3926, loss_offset: 0.9116, loss_depth: 1.2588, loss_size: 1.3219, loss_rotsin: 0.4820, loss_centerness: 0.5888, loss_velo: 0.0619, loss_dir: 0.6703, loss_attr: 0.7598, loss: 6.4475, grad_norm: 8.0823
2021-08-16 17:05:23,105 - mmdet - INFO - Epoch [1][1050/2217]	lr: 8.000e-03, eta: 14:45:31, time: 2.076, data_time: 0.052, memory: 20170, loss_cls: 0.3793, loss_offset: 0.8884, loss_depth: 1.2682, loss_size: 1.2932, loss_rotsin: 0.4660, loss_centerness: 0.5886, loss_velo: 0.0624, loss_dir: 0.6666, loss_attr: 0.7482, loss: 6.3610, grad_norm: 8.5867
2021-08-16 17:07:06,680 - mmdet - INFO - Epoch [1][1100/2217]	lr: 8.000e-03, eta: 14:43:38, time: 2.072, data_time: 0.051, memory: 20173, loss_cls: 0.3763, loss_offset: 0.8820, loss_depth: 1.2764, loss_size: 1.2625, loss_rotsin: 0.4635, loss_centerness: 0.5879, loss_velo: 0.0642, loss_dir: 0.6646, loss_attr: 0.7441, loss: 6.3215, grad_norm: 8.1818
2021-08-16 17:08:50,056 - mmdet - INFO - Epoch [1][1150/2217]	lr: 8.000e-03, eta: 14:41:41, time: 2.068, data_time: 0.052, memory: 20173, loss_cls: 0.3800, loss_offset: 0.8958, loss_depth: 1.2277, loss_size: 1.2493, loss_rotsin: 0.4677, loss_centerness: 0.5884, loss_velo: 0.0626, loss_dir: 0.6651, loss_attr: 0.7462, loss: 6.2829, grad_norm: 8.1743
2021-08-16 17:10:33,571 - mmdet - INFO - Epoch [1][1200/2217]	lr: 8.000e-03, eta: 14:39:49, time: 2.070, data_time: 0.051, memory: 20173, loss_cls: 0.3762, loss_offset: 0.8925, loss_depth: 1.4183, loss_size: 1.2633, loss_rotsin: 0.4564, loss_centerness: 0.5882, loss_velo: 0.0593, loss_dir: 0.6625, loss_attr: 0.7613, loss: 6.4780, grad_norm: 8.5734
2021-08-16 17:12:16,912 - mmdet - INFO - Epoch [1][1250/2217]	lr: 8.000e-03, eta: 14:37:54, time: 2.067, data_time: 0.051, memory: 20173, loss_cls: 0.3700, loss_offset: 0.8763, loss_depth: 1.1794, loss_size: 1.1852, loss_rotsin: 0.4488, loss_centerness: 0.5873, loss_velo: 0.0589, loss_dir: 0.6561, loss_attr: 0.7094, loss: 6.0715, grad_norm: 7.5732
2021-08-16 17:14:00,209 - mmdet - INFO - Epoch [1][1300/2217]	lr: 8.000e-03, eta: 14:35:58, time: 2.066, data_time: 0.049, memory: 20173, loss_cls: 0.3671, loss_offset: 0.8769, loss_depth: 1.2394, loss_size: 1.2201, loss_rotsin: 0.4446, loss_centerness: 0.5874, loss_velo: 0.0590, loss_dir: 0.6560, loss_attr: 0.7073, loss: 6.1579, grad_norm: 8.3716
2021-08-16 17:15:43,247 - mmdet - INFO - Epoch [1][1350/2217]	lr: 8.000e-03, eta: 14:33:59, time: 2.061, data_time: 0.050, memory: 20173, loss_cls: 0.3719, loss_offset: 0.8693, loss_depth: 1.3708, loss_size: 1.2238, loss_rotsin: 0.4415, loss_centerness: 0.5867, loss_velo: 0.0629, loss_dir: 0.6507, loss_attr: 0.7367, loss: 6.3144, grad_norm: 9.1905
2021-08-16 17:17:25,648 - mmdet - INFO - Epoch [1][1400/2217]	lr: 8.000e-03, eta: 14:31:50, time: 2.048, data_time: 0.050, memory: 20195, loss_cls: 0.3656, loss_offset: 0.8625, loss_depth: 1.2798, loss_size: 1.1729, loss_rotsin: 0.4378, loss_centerness: 0.5868, loss_velo: 0.0611, loss_dir: 0.6475, loss_attr: 0.7045, loss: 6.1185, grad_norm: 8.2891
2021-08-16 17:19:08,783 - mmdet - INFO - Epoch [1][1450/2217]	lr: 8.000e-03, eta: 14:29:55, time: 2.063, data_time: 0.051, memory: 20195, loss_cls: 0.3589, loss_offset: 0.8547, loss_depth: 1.1497, loss_size: 1.1840, loss_rotsin: 0.4312, loss_centerness: 0.5860, loss_velo: 0.0619, loss_dir: 0.6473, loss_attr: 0.6762, loss: 5.9499, grad_norm: 7.3459
2021-08-16 17:20:52,108 - mmdet - INFO - Epoch [1][1500/2217]	lr: 8.000e-03, eta: 14:28:04, time: 2.066, data_time: 0.050, memory: 20195, loss_cls: 0.3635, loss_offset: 0.8503, loss_depth: 1.1803, loss_size: 1.1902, loss_rotsin: 0.4284, loss_centerness: 0.5865, loss_velo: 0.0607, loss_dir: 0.6437, loss_attr: 0.6998, loss: 6.0033, grad_norm: 7.7658
2021-08-16 17:22:35,553 - mmdet - INFO - Epoch [1][1550/2217]	lr: 8.000e-03, eta: 14:26:16, time: 2.069, data_time: 0.047, memory: 20195, loss_cls: 0.3608, loss_offset: 0.8474, loss_depth: 1.1770, loss_size: 1.1674, loss_rotsin: 0.4214, loss_centerness: 0.5859, loss_velo: 0.0603, loss_dir: 0.6426, loss_attr: 0.6745, loss: 5.9373, grad_norm: 8.0156
2021-08-16 17:24:19,907 - mmdet - INFO - Epoch [1][1600/2217]	lr: 8.000e-03, eta: 14:24:42, time: 2.087, data_time: 0.056, memory: 20195, loss_cls: 0.3617, loss_offset: 0.8430, loss_depth: 1.2385, loss_size: 1.1507, loss_rotsin: 0.4139, loss_centerness: 0.5857, loss_velo: 0.0629, loss_dir: 0.6368, loss_attr: 0.7006, loss: 5.9938, grad_norm: 8.0646
2021-08-16 17:26:04,252 - mmdet - INFO - Epoch [1][1650/2217]	lr: 8.000e-03, eta: 14:23:07, time: 2.087, data_time: 0.054, memory: 20195, loss_cls: 0.3584, loss_offset: 0.8362, loss_depth: 1.1554, loss_size: 1.1840, loss_rotsin: 0.4127, loss_centerness: 0.5852, loss_velo: 0.0645, loss_dir: 0.6281, loss_attr: 0.6951, loss: 5.9197, grad_norm: 7.1854
2021-08-16 17:27:47,958 - mmdet - INFO - Epoch [1][1700/2217]	lr: 8.000e-03, eta: 14:21:22, time: 2.074, data_time: 0.050, memory: 20195, loss_cls: 0.3500, loss_offset: 0.8334, loss_depth: 1.0863, loss_size: 1.1548, loss_rotsin: 0.4109, loss_centerness: 0.5853, loss_velo: 0.0631, loss_dir: 0.6296, loss_attr: 0.6579, loss: 5.7711, grad_norm: 6.9743
2021-08-16 17:29:32,368 - mmdet - INFO - Epoch [1][1750/2217]	lr: 8.000e-03, eta: 14:19:48, time: 2.088, data_time: 0.049, memory: 20195, loss_cls: 0.3549, loss_offset: 0.8333, loss_depth: 1.1133, loss_size: 1.1344, loss_rotsin: 0.4141, loss_centerness: 0.5853, loss_velo: 0.0586, loss_dir: 0.6254, loss_attr: 0.6744, loss: 5.7938, grad_norm: 7.6575
2021-08-16 17:31:17,340 - mmdet - INFO - Epoch [1][1800/2217]	lr: 8.000e-03, eta: 14:18:20, time: 2.099, data_time: 0.054, memory: 20195, loss_cls: 0.3554, loss_offset: 0.8298, loss_depth: 1.1059, loss_size: 1.1404, loss_rotsin: 0.4133, loss_centerness: 0.5851, loss_velo: 0.0613, loss_dir: 0.6226, loss_attr: 0.6726, loss: 5.7863, grad_norm: 7.3495
2021-08-16 17:33:02,342 - mmdet - INFO - Epoch [1][1850/2217]	lr: 8.000e-03, eta: 14:16:52, time: 2.100, data_time: 0.055, memory: 20195, loss_cls: 0.3478, loss_offset: 0.8260, loss_depth: 1.1164, loss_size: 1.1089, loss_rotsin: 0.4029, loss_centerness: 0.5847, loss_velo: 0.0645, loss_dir: 0.6143, loss_attr: 0.6417, loss: 5.7070, grad_norm: 7.7292
2021-08-16 17:34:46,185 - mmdet - INFO - Epoch [1][1900/2217]	lr: 8.000e-03, eta: 14:15:08, time: 2.077, data_time: 0.050, memory: 20195, loss_cls: 0.3489, loss_offset: 0.8249, loss_depth: 1.1744, loss_size: 1.1369, loss_rotsin: 0.3984, loss_centerness: 0.5851, loss_velo: 0.0644, loss_dir: 0.6131, loss_attr: 0.6431, loss: 5.7893, grad_norm: 7.9026
2021-08-16 17:36:30,239 - mmdet - INFO - Epoch [1][1950/2217]	lr: 8.000e-03, eta: 14:13:27, time: 2.081, data_time: 0.049, memory: 20195, loss_cls: 0.3486, loss_offset: 0.8277, loss_depth: 1.1371, loss_size: 1.1846, loss_rotsin: 0.4034, loss_centerness: 0.5850, loss_velo: 0.0618, loss_dir: 0.6202, loss_attr: 0.6494, loss: 5.8180, grad_norm: 7.5613
2021-08-16 17:38:14,869 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-16 17:38:14,870 - mmdet - INFO - Epoch [1][2000/2217]	lr: 8.000e-03, eta: 14:11:53, time: 2.093, data_time: 0.052, memory: 20195, loss_cls: 0.3453, loss_offset: 0.8144, loss_depth: 1.1523, loss_size: 1.1284, loss_rotsin: 0.3992, loss_centerness: 0.5843, loss_velo: 0.0635, loss_dir: 0.6105, loss_attr: 0.6579, loss: 5.7560, grad_norm: 8.1004
2021-08-16 17:39:59,742 - mmdet - INFO - Epoch [1][2050/2217]	lr: 8.000e-03, eta: 14:10:21, time: 2.097, data_time: 0.052, memory: 20195, loss_cls: 0.3420, loss_offset: 0.8134, loss_depth: 1.0569, loss_size: 1.1182, loss_rotsin: 0.3943, loss_centerness: 0.5844, loss_velo: 0.0629, loss_dir: 0.6068, loss_attr: 0.6532, loss: 5.6321, grad_norm: 6.7168
2021-08-16 17:41:44,669 - mmdet - INFO - Epoch [1][2100/2217]	lr: 8.000e-03, eta: 14:08:49, time: 2.099, data_time: 0.051, memory: 20195, loss_cls: 0.3445, loss_offset: 0.8151, loss_depth: 1.1723, loss_size: 1.1003, loss_rotsin: 0.4010, loss_centerness: 0.5840, loss_velo: 0.0589, loss_dir: 0.6120, loss_attr: 0.6123, loss: 5.7003, grad_norm: 8.2136
2021-08-16 17:43:29,548 - mmdet - INFO - Epoch [1][2150/2217]	lr: 8.000e-03, eta: 14:07:16, time: 2.098, data_time: 0.050, memory: 20195, loss_cls: 0.3373, loss_offset: 0.8052, loss_depth: 1.0739, loss_size: 1.0706, loss_rotsin: 0.3915, loss_centerness: 0.5841, loss_velo: 0.0594, loss_dir: 0.6066, loss_attr: 0.6222, loss: 5.5508, grad_norm: 7.4629
2021-08-16 17:45:14,435 - mmdet - INFO - Epoch [1][2200/2217]	lr: 8.000e-03, eta: 14:05:43, time: 2.098, data_time: 0.054, memory: 20195, loss_cls: 0.3427, loss_offset: 0.8087, loss_depth: 1.1014, loss_size: 1.0798, loss_rotsin: 0.3910, loss_centerness: 0.5842, loss_velo: 0.0641, loss_dir: 0.6052, loss_attr: 0.6393, loss: 5.6164, grad_norm: 7.6630
2021-08-16 17:45:50,298 - mmdet - INFO - Saving checkpoint at 1 epochs
2021-08-16 17:47:42,425 - mmdet - INFO - Epoch [2][50/2217]	lr: 8.000e-03, eta: 13:58:21, time: 2.223, data_time: 0.177, memory: 20195, loss_cls: 0.3375, loss_offset: 0.8002, loss_depth: 1.0480, loss_size: 1.0324, loss_rotsin: 0.3844, loss_centerness: 0.5843, loss_velo: 0.0610, loss_dir: 0.5949, loss_attr: 0.6000, loss: 5.4427, grad_norm: 7.0123
2021-08-16 17:49:26,651 - mmdet - INFO - Epoch [2][100/2217]	lr: 8.000e-03, eta: 13:56:46, time: 2.084, data_time: 0.053, memory: 20195, loss_cls: 0.3324, loss_offset: 0.7935, loss_depth: 1.0214, loss_size: 1.0593, loss_rotsin: 0.3915, loss_centerness: 0.5835, loss_velo: 0.0617, loss_dir: 0.6050, loss_attr: 0.6137, loss: 5.4620, grad_norm: 7.0299
2021-08-16 17:51:11,775 - mmdet - INFO - Epoch [2][150/2217]	lr: 8.000e-03, eta: 13:55:21, time: 2.103, data_time: 0.056, memory: 20195, loss_cls: 0.3341, loss_offset: 0.7973, loss_depth: 1.0139, loss_size: 1.0149, loss_rotsin: 0.3869, loss_centerness: 0.5838, loss_velo: 0.0595, loss_dir: 0.5957, loss_attr: 0.5933, loss: 5.3794, grad_norm: 7.0767
2021-08-16 17:52:56,206 - mmdet - INFO - Epoch [2][200/2217]	lr: 8.000e-03, eta: 13:53:48, time: 2.088, data_time: 0.051, memory: 20195, loss_cls: 0.3378, loss_offset: 0.7979, loss_depth: 1.0956, loss_size: 1.0640, loss_rotsin: 0.3796, loss_centerness: 0.5843, loss_velo: 0.0612, loss_dir: 0.5917, loss_attr: 0.6009, loss: 5.5129, grad_norm: 8.0321
2021-08-16 17:54:40,903 - mmdet - INFO - Epoch [2][250/2217]	lr: 8.000e-03, eta: 13:52:17, time: 2.094, data_time: 0.053, memory: 20195, loss_cls: 0.3365, loss_offset: 0.7905, loss_depth: 1.0116, loss_size: 1.0630, loss_rotsin: 0.3829, loss_centerness: 0.5836, loss_velo: 0.0589, loss_dir: 0.5898, loss_attr: 0.6035, loss: 5.4204, grad_norm: 7.2930
2021-08-16 17:56:25,324 - mmdet - INFO - Epoch [2][300/2217]	lr: 8.000e-03, eta: 13:50:43, time: 2.088, data_time: 0.054, memory: 20195, loss_cls: 0.3327, loss_offset: 0.7937, loss_depth: 1.0668, loss_size: 1.0323, loss_rotsin: 0.3775, loss_centerness: 0.5837, loss_velo: 0.0627, loss_dir: 0.5788, loss_attr: 0.6040, loss: 5.4323, grad_norm: 7.7191
2021-08-16 17:58:08,989 - mmdet - INFO - Epoch [2][350/2217]	lr: 8.000e-03, eta: 13:49:02, time: 2.073, data_time: 0.051, memory: 20195, loss_cls: 0.3325, loss_offset: 0.7844, loss_depth: 1.0528, loss_size: 1.0175, loss_rotsin: 0.3766, loss_centerness: 0.5836, loss_velo: 0.0583, loss_dir: 0.5885, loss_attr: 0.6070, loss: 5.4012, grad_norm: 7.4842
2021-08-16 17:59:52,906 - mmdet - INFO - Epoch [2][400/2217]	lr: 8.000e-03, eta: 13:47:22, time: 2.078, data_time: 0.051, memory: 20195, loss_cls: 0.3286, loss_offset: 0.7936, loss_depth: 1.0666, loss_size: 1.0591, loss_rotsin: 0.3764, loss_centerness: 0.5832, loss_velo: 0.0610, loss_dir: 0.5821, loss_attr: 0.5702, loss: 5.4207, grad_norm: 8.1189
2021-08-16 18:01:37,346 - mmdet - INFO - Epoch [2][450/2217]	lr: 8.000e-03, eta: 13:45:47, time: 2.089, data_time: 0.050, memory: 20195, loss_cls: 0.3310, loss_offset: 0.7800, loss_depth: 1.0181, loss_size: 1.0300, loss_rotsin: 0.3617, loss_centerness: 0.5828, loss_velo: 0.0606, loss_dir: 0.5788, loss_attr: 0.5790, loss: 5.3221, grad_norm: 7.2509
2021-08-16 18:03:21,760 - mmdet - INFO - Epoch [2][500/2217]	lr: 8.000e-03, eta: 13:44:12, time: 2.088, data_time: 0.050, memory: 20195, loss_cls: 0.3304, loss_offset: 0.7765, loss_depth: 1.0034, loss_size: 1.0278, loss_rotsin: 0.3651, loss_centerness: 0.5825, loss_velo: 0.0611, loss_dir: 0.5803, loss_attr: 0.5750, loss: 5.3020, grad_norm: 7.3301
2021-08-16 18:05:06,261 - mmdet - INFO - Epoch [2][550/2217]	lr: 8.000e-03, eta: 13:42:37, time: 2.090, data_time: 0.051, memory: 20195, loss_cls: 0.3298, loss_offset: 0.7820, loss_depth: 1.0700, loss_size: 1.0202, loss_rotsin: 0.3674, loss_centerness: 0.5830, loss_velo: 0.0616, loss_dir: 0.5792, loss_attr: 0.5947, loss: 5.3879, grad_norm: 7.9895
2021-08-16 18:06:50,195 - mmdet - INFO - Epoch [2][600/2217]	lr: 8.000e-03, eta: 13:40:57, time: 2.079, data_time: 0.051, memory: 20195, loss_cls: 0.3260, loss_offset: 0.7807, loss_depth: 1.0502, loss_size: 1.0288, loss_rotsin: 0.3717, loss_centerness: 0.5828, loss_velo: 0.0605, loss_dir: 0.5743, loss_attr: 0.5756, loss: 5.3504, grad_norm: 7.8268
2021-08-16 18:08:34,283 - mmdet - INFO - Epoch [2][650/2217]	lr: 8.000e-03, eta: 13:39:18, time: 2.082, data_time: 0.050, memory: 20195, loss_cls: 0.3302, loss_offset: 0.7818, loss_depth: 1.0538, loss_size: 1.0204, loss_rotsin: 0.3638, loss_centerness: 0.5829, loss_velo: 0.0620, loss_dir: 0.5756, loss_attr: 0.5848, loss: 5.3553, grad_norm: 7.3835
2021-08-16 18:10:18,277 - mmdet - INFO - Epoch [2][700/2217]	lr: 8.000e-03, eta: 13:37:38, time: 2.080, data_time: 0.049, memory: 20195, loss_cls: 0.3260, loss_offset: 0.7731, loss_depth: 0.9830, loss_size: 0.9873, loss_rotsin: 0.3661, loss_centerness: 0.5820, loss_velo: 0.0604, loss_dir: 0.5754, loss_attr: 0.5724, loss: 5.2256, grad_norm: 7.0768
2021-08-16 18:12:01,406 - mmdet - INFO - Epoch [2][750/2217]	lr: 8.000e-03, eta: 13:35:51, time: 2.063, data_time: 0.051, memory: 20195, loss_cls: 0.3308, loss_offset: 0.7803, loss_depth: 1.0497, loss_size: 1.0100, loss_rotsin: 0.3703, loss_centerness: 0.5829, loss_velo: 0.0601, loss_dir: 0.5808, loss_attr: 0.5653, loss: 5.3302, grad_norm: 7.5868
2021-08-16 18:13:44,638 - mmdet - INFO - Epoch [2][800/2217]	lr: 8.000e-03, eta: 13:34:05, time: 2.065, data_time: 0.051, memory: 20195, loss_cls: 0.3246, loss_offset: 0.7730, loss_depth: 1.0526, loss_size: 1.0297, loss_rotsin: 0.3645, loss_centerness: 0.5825, loss_velo: 0.0611, loss_dir: 0.5714, loss_attr: 0.5659, loss: 5.3253, grad_norm: 8.1117
2021-08-16 18:15:28,507 - mmdet - INFO - Epoch [2][850/2217]	lr: 8.000e-03, eta: 13:32:24, time: 2.077, data_time: 0.050, memory: 20195, loss_cls: 0.3252, loss_offset: 0.7753, loss_depth: 1.0968, loss_size: 1.0044, loss_rotsin: 0.3652, loss_centerness: 0.5829, loss_velo: 0.0601, loss_dir: 0.5754, loss_attr: 0.5801, loss: 5.3654, grad_norm: 8.3897
2021-08-16 18:17:12,239 - mmdet - INFO - Epoch [2][900/2217]	lr: 8.000e-03, eta: 13:30:42, time: 2.075, data_time: 0.051, memory: 20195, loss_cls: 0.3195, loss_offset: 0.7637, loss_depth: 1.0877, loss_size: 1.0038, loss_rotsin: 0.3608, loss_centerness: 0.5826, loss_velo: 0.0630, loss_dir: 0.5640, loss_attr: 0.5696, loss: 5.3147, grad_norm: 7.9917
2021-08-16 18:18:55,865 - mmdet - INFO - Epoch [2][950/2217]	lr: 8.000e-03, eta: 13:28:59, time: 2.073, data_time: 0.049, memory: 20195, loss_cls: 0.3216, loss_offset: 0.7733, loss_depth: 0.9666, loss_size: 1.0067, loss_rotsin: 0.3535, loss_centerness: 0.5827, loss_velo: 0.0596, loss_dir: 0.5737, loss_attr: 0.5722, loss: 5.2099, grad_norm: 6.9800
2021-08-16 18:20:39,199 - mmdet - INFO - Epoch [2][1000/2217]	lr: 8.000e-03, eta: 13:27:13, time: 2.067, data_time: 0.049, memory: 20195, loss_cls: 0.3252, loss_offset: 0.7639, loss_depth: 0.9834, loss_size: 1.0023, loss_rotsin: 0.3593, loss_centerness: 0.5823, loss_velo: 0.0605, loss_dir: 0.5654, loss_attr: 0.5659, loss: 5.2081, grad_norm: 7.3979
2021-08-16 18:22:22,648 - mmdet - INFO - Epoch [2][1050/2217]	lr: 8.000e-03, eta: 13:25:29, time: 2.069, data_time: 0.047, memory: 20195, loss_cls: 0.3188, loss_offset: 0.7588, loss_depth: 0.9545, loss_size: 0.9645, loss_rotsin: 0.3527, loss_centerness: 0.5818, loss_velo: 0.0621, loss_dir: 0.5613, loss_attr: 0.5598, loss: 5.1143, grad_norm: 6.6705
2021-08-16 18:24:06,216 - mmdet - INFO - Epoch [2][1100/2217]	lr: 8.000e-03, eta: 13:23:46, time: 2.071, data_time: 0.053, memory: 20195, loss_cls: 0.3234, loss_offset: 0.7643, loss_depth: 0.9937, loss_size: 1.0039, loss_rotsin: 0.3559, loss_centerness: 0.5821, loss_velo: 0.0639, loss_dir: 0.5578, loss_attr: 0.5675, loss: 5.2126, grad_norm: 7.2494
2021-08-16 18:25:49,390 - mmdet - INFO - Epoch [2][1150/2217]	lr: 8.000e-03, eta: 13:22:00, time: 2.063, data_time: 0.049, memory: 20195, loss_cls: 0.3167, loss_offset: 0.7510, loss_depth: 0.9619, loss_size: 0.9634, loss_rotsin: 0.3440, loss_centerness: 0.5815, loss_velo: 0.0624, loss_dir: 0.5501, loss_attr: 0.5458, loss: 5.0767, grad_norm: 6.9843
2021-08-16 18:27:32,620 - mmdet - INFO - Epoch [2][1200/2217]	lr: 8.000e-03, eta: 13:20:14, time: 2.065, data_time: 0.050, memory: 20195, loss_cls: 0.3195, loss_offset: 0.7517, loss_depth: 0.9548, loss_size: 0.9646, loss_rotsin: 0.3555, loss_centerness: 0.5818, loss_velo: 0.0647, loss_dir: 0.5612, loss_attr: 0.5587, loss: 5.1123, grad_norm: 6.9689
2021-08-16 18:29:16,605 - mmdet - INFO - Epoch [2][1250/2217]	lr: 8.000e-03, eta: 13:18:33, time: 2.080, data_time: 0.049, memory: 20195, loss_cls: 0.3196, loss_offset: 0.7529, loss_depth: 0.9563, loss_size: 0.9688, loss_rotsin: 0.3506, loss_centerness: 0.5816, loss_velo: 0.0602, loss_dir: 0.5590, loss_attr: 0.5811, loss: 5.1302, grad_norm: 7.5367
2021-08-16 18:30:59,525 - mmdet - INFO - Epoch [2][1300/2217]	lr: 8.000e-03, eta: 13:16:46, time: 2.058, data_time: 0.049, memory: 20195, loss_cls: 0.3172, loss_offset: 0.7518, loss_depth: 1.0408, loss_size: 0.9601, loss_rotsin: 0.3487, loss_centerness: 0.5819, loss_velo: 0.0594, loss_dir: 0.5563, loss_attr: 0.5441, loss: 5.1601, grad_norm: 8.2584
2021-08-16 18:32:42,734 - mmdet - INFO - Epoch [2][1350/2217]	lr: 8.000e-03, eta: 13:15:00, time: 2.064, data_time: 0.049, memory: 20195, loss_cls: 0.3170, loss_offset: 0.7486, loss_depth: 1.0002, loss_size: 0.9646, loss_rotsin: 0.3458, loss_centerness: 0.5813, loss_velo: 0.0651, loss_dir: 0.5483, loss_attr: 0.5433, loss: 5.1142, grad_norm: 7.7967
2021-08-16 18:34:25,742 - mmdet - INFO - Epoch [2][1400/2217]	lr: 8.000e-03, eta: 13:13:13, time: 2.060, data_time: 0.050, memory: 20195, loss_cls: 0.3163, loss_offset: 0.7535, loss_depth: 0.9950, loss_size: 0.9745, loss_rotsin: 0.3449, loss_centerness: 0.5816, loss_velo: 0.0623, loss_dir: 0.5491, loss_attr: 0.5469, loss: 5.1240, grad_norm: 7.8125
2021-08-16 18:36:09,178 - mmdet - INFO - Epoch [2][1450/2217]	lr: 8.000e-03, eta: 13:11:29, time: 2.069, data_time: 0.051, memory: 20195, loss_cls: 0.3166, loss_offset: 0.7507, loss_depth: 0.9819, loss_size: 0.9810, loss_rotsin: 0.3465, loss_centerness: 0.5814, loss_velo: 0.0626, loss_dir: 0.5475, loss_attr: 0.5487, loss: 5.1169, grad_norm: 7.4328
2021-08-16 18:37:51,907 - mmdet - INFO - Epoch [2][1500/2217]	lr: 8.000e-03, eta: 13:09:41, time: 2.055, data_time: 0.050, memory: 20195, loss_cls: 0.3133, loss_offset: 0.7418, loss_depth: 0.9372, loss_size: 0.9568, loss_rotsin: 0.3362, loss_centerness: 0.5810, loss_velo: 0.0617, loss_dir: 0.5546, loss_attr: 0.5464, loss: 5.0289, grad_norm: 7.3639
2021-08-16 18:39:35,118 - mmdet - INFO - Epoch [2][1550/2217]	lr: 8.000e-03, eta: 13:07:56, time: 2.064, data_time: 0.053, memory: 20195, loss_cls: 0.3180, loss_offset: 0.7557, loss_depth: 1.0028, loss_size: 0.9677, loss_rotsin: 0.3472, loss_centerness: 0.5819, loss_velo: 0.0637, loss_dir: 0.5480, loss_attr: 0.5546, loss: 5.1396, grad_norm: 7.6839
2021-08-16 18:41:18,559 - mmdet - INFO - Epoch [2][1600/2217]	lr: 8.000e-03, eta: 13:06:12, time: 2.069, data_time: 0.050, memory: 20195, loss_cls: 0.3147, loss_offset: 0.7529, loss_depth: 0.9924, loss_size: 0.9545, loss_rotsin: 0.3389, loss_centerness: 0.5815, loss_velo: 0.0608, loss_dir: 0.5520, loss_attr: 0.5432, loss: 5.0908, grad_norm: 8.0586
2021-08-16 18:43:02,464 - mmdet - INFO - Epoch [2][1650/2217]	lr: 8.000e-03, eta: 13:04:30, time: 2.078, data_time: 0.052, memory: 20195, loss_cls: 0.3132, loss_offset: 0.7442, loss_depth: 0.9176, loss_size: 0.9507, loss_rotsin: 0.3347, loss_centerness: 0.5817, loss_velo: 0.0600, loss_dir: 0.5370, loss_attr: 0.5464, loss: 4.9857, grad_norm: 7.0296
2021-08-16 18:44:46,486 - mmdet - INFO - Epoch [2][1700/2217]	lr: 8.000e-03, eta: 13:02:50, time: 2.080, data_time: 0.050, memory: 20195, loss_cls: 0.3164, loss_offset: 0.7440, loss_depth: 0.9587, loss_size: 0.9689, loss_rotsin: 0.3405, loss_centerness: 0.5817, loss_velo: 0.0597, loss_dir: 0.5404, loss_attr: 0.5234, loss: 5.0339, grad_norm: 7.4196
2021-08-16 18:46:29,409 - mmdet - INFO - Epoch [2][1750/2217]	lr: 8.000e-03, eta: 13:01:03, time: 2.058, data_time: 0.052, memory: 20195, loss_cls: 0.3132, loss_offset: 0.7467, loss_depth: 0.9058, loss_size: 0.9241, loss_rotsin: 0.3387, loss_centerness: 0.5814, loss_velo: 0.0629, loss_dir: 0.5410, loss_attr: 0.5382, loss: 4.9520, grad_norm: 6.3630
2021-08-16 18:48:12,531 - mmdet - INFO - Epoch [2][1800/2217]	lr: 8.000e-03, eta: 12:59:17, time: 2.062, data_time: 0.053, memory: 20195, loss_cls: 0.3132, loss_offset: 0.7398, loss_depth: 0.9591, loss_size: 0.9676, loss_rotsin: 0.3326, loss_centerness: 0.5807, loss_velo: 0.0628, loss_dir: 0.5392, loss_attr: 0.5341, loss: 5.0290, grad_norm: 7.3761
2021-08-16 18:49:56,141 - mmdet - INFO - Epoch [2][1850/2217]	lr: 8.000e-03, eta: 12:57:34, time: 2.072, data_time: 0.053, memory: 20195, loss_cls: 0.3095, loss_offset: 0.7424, loss_depth: 0.9946, loss_size: 0.9299, loss_rotsin: 0.3274, loss_centerness: 0.5811, loss_velo: 0.0609, loss_dir: 0.5355, loss_attr: 0.5199, loss: 5.0012, grad_norm: 8.2774
2021-08-16 18:51:39,807 - mmdet - INFO - Epoch [2][1900/2217]	lr: 8.000e-03, eta: 12:55:52, time: 2.073, data_time: 0.053, memory: 20195, loss_cls: 0.3103, loss_offset: 0.7412, loss_depth: 0.9271, loss_size: 0.9214, loss_rotsin: 0.3325, loss_centerness: 0.5813, loss_velo: 0.0592, loss_dir: 0.5425, loss_attr: 0.5087, loss: 4.9241, grad_norm: 7.0152
2021-08-16 18:53:23,276 - mmdet - INFO - Epoch [2][1950/2217]	lr: 8.000e-03, eta: 12:54:08, time: 2.069, data_time: 0.054, memory: 20195, loss_cls: 0.3076, loss_offset: 0.7264, loss_depth: 0.9310, loss_size: 0.9364, loss_rotsin: 0.3296, loss_centerness: 0.5806, loss_velo: 0.0646, loss_dir: 0.5319, loss_attr: 0.5338, loss: 4.9419, grad_norm: 7.2235
2021-08-16 18:55:06,711 - mmdet - INFO - Epoch [2][2000/2217]	lr: 8.000e-03, eta: 12:52:24, time: 2.069, data_time: 0.056, memory: 20195, loss_cls: 0.3097, loss_offset: 0.7318, loss_depth: 0.8947, loss_size: 0.9323, loss_rotsin: 0.3280, loss_centerness: 0.5809, loss_velo: 0.0613, loss_dir: 0.5379, loss_attr: 0.5191, loss: 4.8957, grad_norm: 6.7919
2021-08-16 18:56:50,664 - mmdet - INFO - Epoch [2][2050/2217]	lr: 8.000e-03, eta: 12:50:43, time: 2.079, data_time: 0.054, memory: 20195, loss_cls: 0.3135, loss_offset: 0.7372, loss_depth: 0.9369, loss_size: 0.9519, loss_rotsin: 0.3303, loss_centerness: 0.5810, loss_velo: 0.0605, loss_dir: 0.5361, loss_attr: 0.5314, loss: 4.9787, grad_norm: 7.6044
2021-08-16 18:58:34,233 - mmdet - INFO - Epoch [2][2100/2217]	lr: 8.000e-03, eta: 12:49:00, time: 2.071, data_time: 0.056, memory: 20195, loss_cls: 0.3076, loss_offset: 0.7369, loss_depth: 1.0040, loss_size: 0.9274, loss_rotsin: 0.3202, loss_centerness: 0.5806, loss_velo: 0.0628, loss_dir: 0.5281, loss_attr: 0.5010, loss: 4.9686, grad_norm: 8.0424
2021-08-16 19:00:17,584 - mmdet - INFO - Epoch [2][2150/2217]	lr: 8.000e-03, eta: 12:47:15, time: 2.067, data_time: 0.054, memory: 20195, loss_cls: 0.3063, loss_offset: 0.7286, loss_depth: 0.9032, loss_size: 0.9042, loss_rotsin: 0.3215, loss_centerness: 0.5805, loss_velo: 0.0609, loss_dir: 0.5373, loss_attr: 0.5144, loss: 4.8568, grad_norm: 6.8561
2021-08-16 19:02:00,844 - mmdet - INFO - Epoch [2][2200/2217]	lr: 8.000e-03, eta: 12:45:31, time: 2.065, data_time: 0.056, memory: 20195, loss_cls: 0.3113, loss_offset: 0.7323, loss_depth: 0.9402, loss_size: 0.9770, loss_rotsin: 0.3279, loss_centerness: 0.5808, loss_velo: 0.0631, loss_dir: 0.5338, loss_attr: 0.5312, loss: 4.9975, grad_norm: 7.6288
2021-08-16 19:02:36,439 - mmdet - INFO - Saving checkpoint at 2 epochs
2021-08-16 19:04:27,864 - mmdet - INFO - Epoch [3][50/2217]	lr: 8.000e-03, eta: 12:40:52, time: 2.208, data_time: 0.201, memory: 20195, loss_cls: 0.3013, loss_offset: 0.7192, loss_depth: 0.9649, loss_size: 0.8963, loss_rotsin: 0.3133, loss_centerness: 0.5804, loss_velo: 0.0606, loss_dir: 0.5229, loss_attr: 0.4672, loss: 4.8262, grad_norm: 8.0418
2021-08-16 19:06:10,537 - mmdet - INFO - Epoch [3][100/2217]	lr: 8.000e-03, eta: 12:39:06, time: 2.053, data_time: 0.050, memory: 20195, loss_cls: 0.3033, loss_offset: 0.7207, loss_depth: 0.9229, loss_size: 0.9194, loss_rotsin: 0.3211, loss_centerness: 0.5805, loss_velo: 0.0606, loss_dir: 0.5202, loss_attr: 0.4949, loss: 4.8435, grad_norm: 7.8808
2021-08-16 19:07:53,727 - mmdet - INFO - Epoch [3][150/2217]	lr: 8.000e-03, eta: 12:37:23, time: 2.064, data_time: 0.049, memory: 20195, loss_cls: 0.3027, loss_offset: 0.7219, loss_depth: 0.9191, loss_size: 0.8752, loss_rotsin: 0.3150, loss_centerness: 0.5804, loss_velo: 0.0632, loss_dir: 0.5238, loss_attr: 0.4910, loss: 4.7923, grad_norm: 7.6230
2021-08-16 19:09:36,130 - mmdet - INFO - Epoch [3][200/2217]	lr: 8.000e-03, eta: 12:35:36, time: 2.048, data_time: 0.047, memory: 20195, loss_cls: 0.3025, loss_offset: 0.7189, loss_depth: 0.9447, loss_size: 0.8908, loss_rotsin: 0.3200, loss_centerness: 0.5809, loss_velo: 0.0608, loss_dir: 0.5202, loss_attr: 0.4872, loss: 4.8261, grad_norm: 7.7094
2021-08-16 19:11:18,533 - mmdet - INFO - Epoch [3][250/2217]	lr: 8.000e-03, eta: 12:33:50, time: 2.048, data_time: 0.054, memory: 20195, loss_cls: 0.3026, loss_offset: 0.7180, loss_depth: 0.8893, loss_size: 0.9107, loss_rotsin: 0.3131, loss_centerness: 0.5802, loss_velo: 0.0646, loss_dir: 0.5271, loss_attr: 0.4877, loss: 4.7932, grad_norm: 7.2070
2021-08-16 19:13:01,560 - mmdet - INFO - Epoch [3][300/2217]	lr: 8.000e-03, eta: 12:32:06, time: 2.061, data_time: 0.052, memory: 20195, loss_cls: 0.2979, loss_offset: 0.7086, loss_depth: 0.8826, loss_size: 0.8630, loss_rotsin: 0.3189, loss_centerness: 0.5797, loss_velo: 0.0611, loss_dir: 0.5197, loss_attr: 0.4656, loss: 4.6969, grad_norm: 7.2622
2021-08-16 19:14:44,384 - mmdet - INFO - Epoch [3][350/2217]	lr: 8.000e-03, eta: 12:30:21, time: 2.056, data_time: 0.049, memory: 20195, loss_cls: 0.3043, loss_offset: 0.7205, loss_depth: 0.9779, loss_size: 0.8695, loss_rotsin: 0.3193, loss_centerness: 0.5800, loss_velo: 0.0611, loss_dir: 0.5250, loss_attr: 0.5068, loss: 4.8644, grad_norm: 11.6729
2021-08-16 19:16:27,055 - mmdet - INFO - Epoch [3][400/2217]	lr: 8.000e-03, eta: 12:28:36, time: 2.053, data_time: 0.049, memory: 20195, loss_cls: 0.3054, loss_offset: 0.7293, loss_depth: 0.9273, loss_size: 0.9022, loss_rotsin: 0.3175, loss_centerness: 0.5807, loss_velo: 0.0627, loss_dir: 0.5305, loss_attr: 0.5068, loss: 4.8625, grad_norm: 7.8143
2021-08-16 19:18:09,843 - mmdet - INFO - Epoch [3][450/2217]	lr: 8.000e-03, eta: 12:26:51, time: 2.056, data_time: 0.053, memory: 20195, loss_cls: 0.3062, loss_offset: 0.7255, loss_depth: 1.0082, loss_size: 0.9249, loss_rotsin: 0.3168, loss_centerness: 0.5803, loss_velo: 0.0633, loss_dir: 0.5234, loss_attr: 0.5096, loss: 4.9582, grad_norm: 8.0820
2021-08-16 19:19:52,752 - mmdet - INFO - Epoch [3][500/2217]	lr: 8.000e-03, eta: 12:25:06, time: 2.058, data_time: 0.049, memory: 20195, loss_cls: 0.3027, loss_offset: 0.7216, loss_depth: 0.8787, loss_size: 0.8850, loss_rotsin: 0.3193, loss_centerness: 0.5801, loss_velo: 0.0605, loss_dir: 0.5196, loss_attr: 0.4949, loss: 4.7625, grad_norm: 7.3173
2021-08-16 19:21:36,080 - mmdet - INFO - Epoch [3][550/2217]	lr: 8.000e-03, eta: 12:23:24, time: 2.066, data_time: 0.051, memory: 20195, loss_cls: 0.3044, loss_offset: 0.7187, loss_depth: 1.1351, loss_size: 0.8856, loss_rotsin: 0.3221, loss_centerness: 0.5798, loss_velo: 0.0612, loss_dir: 0.5295, loss_attr: 0.4950, loss: 5.0311, grad_norm: 9.8307
2021-08-16 19:23:19,314 - mmdet - INFO - Epoch [3][600/2217]	lr: 8.000e-03, eta: 12:21:41, time: 2.065, data_time: 0.050, memory: 20195, loss_cls: 0.2987, loss_offset: 0.7174, loss_depth: 0.8957, loss_size: 0.8923, loss_rotsin: 0.3062, loss_centerness: 0.5803, loss_velo: 0.0636, loss_dir: 0.5115, loss_attr: 0.4908, loss: 4.7565, grad_norm: 7.2927
2021-08-16 19:25:02,081 - mmdet - INFO - Epoch [3][650/2217]	lr: 8.000e-03, eta: 12:19:56, time: 2.055, data_time: 0.051, memory: 20195, loss_cls: 0.3002, loss_offset: 0.7261, loss_depth: 0.9057, loss_size: 0.8767, loss_rotsin: 0.3260, loss_centerness: 0.5806, loss_velo: 0.0589, loss_dir: 0.5339, loss_attr: 0.5031, loss: 4.8113, grad_norm: 7.5178
2021-08-16 19:26:45,271 - mmdet - INFO - Epoch [3][700/2217]	lr: 8.000e-03, eta: 12:18:13, time: 2.064, data_time: 0.050, memory: 20195, loss_cls: 0.2997, loss_offset: 0.7164, loss_depth: 0.9486, loss_size: 0.8821, loss_rotsin: 0.3094, loss_centerness: 0.5794, loss_velo: 0.0644, loss_dir: 0.5173, loss_attr: 0.4794, loss: 4.7967, grad_norm: 8.3280
2021-08-16 19:28:28,592 - mmdet - INFO - Epoch [3][750/2217]	lr: 8.000e-03, eta: 12:16:31, time: 2.066, data_time: 0.051, memory: 20195, loss_cls: 0.3004, loss_offset: 0.7093, loss_depth: 0.9121, loss_size: 0.8981, loss_rotsin: 0.3006, loss_centerness: 0.5795, loss_velo: 0.0617, loss_dir: 0.5014, loss_attr: 0.4973, loss: 4.7605, grad_norm: 7.7729
2021-08-16 19:30:11,840 - mmdet - INFO - Epoch [3][800/2217]	lr: 8.000e-03, eta: 12:14:48, time: 2.065, data_time: 0.049, memory: 20195, loss_cls: 0.3005, loss_offset: 0.7168, loss_depth: 0.9359, loss_size: 0.9000, loss_rotsin: 0.3093, loss_centerness: 0.5800, loss_velo: 0.0619, loss_dir: 0.5137, loss_attr: 0.4774, loss: 4.7954, grad_norm: 7.7458
2021-08-16 19:31:55,460 - mmdet - INFO - Epoch [3][850/2217]	lr: 8.000e-03, eta: 12:13:07, time: 2.072, data_time: 0.051, memory: 20195, loss_cls: 0.2996, loss_offset: 0.7121, loss_depth: 0.8341, loss_size: 0.8883, loss_rotsin: 0.3142, loss_centerness: 0.5795, loss_velo: 0.0620, loss_dir: 0.5192, loss_attr: 0.4759, loss: 4.6849, grad_norm: 6.3690
2021-08-16 19:33:39,072 - mmdet - INFO - Epoch [3][900/2217]	lr: 8.000e-03, eta: 12:11:26, time: 2.072, data_time: 0.050, memory: 20195, loss_cls: 0.2956, loss_offset: 0.7061, loss_depth: 0.8566, loss_size: 0.8650, loss_rotsin: 0.3107, loss_centerness: 0.5795, loss_velo: 0.0580, loss_dir: 0.5146, loss_attr: 0.4796, loss: 4.6657, grad_norm: 7.0100
2021-08-16 19:35:23,138 - mmdet - INFO - Epoch [3][950/2217]	lr: 8.000e-03, eta: 12:09:46, time: 2.081, data_time: 0.053, memory: 20195, loss_cls: 0.2982, loss_offset: 0.7011, loss_depth: 0.8309, loss_size: 0.8465, loss_rotsin: 0.3079, loss_centerness: 0.5793, loss_velo: 0.0605, loss_dir: 0.5169, loss_attr: 0.4697, loss: 4.6110, grad_norm: 6.6729
2021-08-16 19:37:06,743 - mmdet - INFO - Epoch [3][1000/2217]	lr: 8.000e-03, eta: 12:08:04, time: 2.072, data_time: 0.053, memory: 20195, loss_cls: 0.2967, loss_offset: 0.7083, loss_depth: 0.8964, loss_size: 0.8749, loss_rotsin: 0.3025, loss_centerness: 0.5795, loss_velo: 0.0623, loss_dir: 0.5148, loss_attr: 0.4806, loss: 4.7160, grad_norm: 7.2904
2021-08-16 19:38:50,284 - mmdet - INFO - Epoch [3][1050/2217]	lr: 8.000e-03, eta: 12:06:23, time: 2.071, data_time: 0.052, memory: 20195, loss_cls: 0.2956, loss_offset: 0.7021, loss_depth: 0.8489, loss_size: 0.8414, loss_rotsin: 0.2968, loss_centerness: 0.5793, loss_velo: 0.0621, loss_dir: 0.4988, loss_attr: 0.4696, loss: 4.5945, grad_norm: 6.9977
2021-08-16 19:40:34,496 - mmdet - INFO - Epoch [3][1100/2217]	lr: 8.000e-03, eta: 12:04:43, time: 2.084, data_time: 0.053, memory: 20195, loss_cls: 0.2956, loss_offset: 0.7060, loss_depth: 0.9248, loss_size: 0.8557, loss_rotsin: 0.3079, loss_centerness: 0.5796, loss_velo: 0.0607, loss_dir: 0.5112, loss_attr: 0.4622, loss: 4.7036, grad_norm: 7.7005
2021-08-16 19:42:18,382 - mmdet - INFO - Epoch [3][1150/2217]	lr: 8.000e-03, eta: 12:03:03, time: 2.078, data_time: 0.047, memory: 20195, loss_cls: 0.2997, loss_offset: 0.7102, loss_depth: 0.8837, loss_size: 0.9119, loss_rotsin: 0.3047, loss_centerness: 0.5793, loss_velo: 0.0595, loss_dir: 0.5127, loss_attr: 0.4850, loss: 4.7468, grad_norm: 7.2993
2021-08-16 19:44:01,945 - mmdet - INFO - Epoch [3][1200/2217]	lr: 8.000e-03, eta: 12:01:21, time: 2.071, data_time: 0.049, memory: 20195, loss_cls: 0.2956, loss_offset: 0.7026, loss_depth: 0.8769, loss_size: 0.8747, loss_rotsin: 0.3045, loss_centerness: 0.5796, loss_velo: 0.0606, loss_dir: 0.5046, loss_attr: 0.4612, loss: 4.6603, grad_norm: 6.9835
2021-08-16 19:45:45,736 - mmdet - INFO - Epoch [3][1250/2217]	lr: 8.000e-03, eta: 11:59:40, time: 2.076, data_time: 0.050, memory: 20195, loss_cls: 0.2943, loss_offset: 0.7083, loss_depth: 0.9057, loss_size: 0.8679, loss_rotsin: 0.2947, loss_centerness: 0.5797, loss_velo: 0.0631, loss_dir: 0.5048, loss_attr: 0.4710, loss: 4.6895, grad_norm: 7.5434
2021-08-16 19:47:29,622 - mmdet - INFO - Epoch [3][1300/2217]	lr: 8.000e-03, eta: 11:57:59, time: 2.078, data_time: 0.052, memory: 20195, loss_cls: 0.2935, loss_offset: 0.6956, loss_depth: 0.9173, loss_size: 0.8618, loss_rotsin: 0.3030, loss_centerness: 0.5791, loss_velo: 0.0570, loss_dir: 0.5003, loss_attr: 0.4735, loss: 4.6812, grad_norm: 8.1286
2021-08-16 19:49:13,951 - mmdet - INFO - Epoch [3][1350/2217]	lr: 8.000e-03, eta: 11:56:20, time: 2.087, data_time: 0.055, memory: 20195, loss_cls: 0.2970, loss_offset: 0.7008, loss_depth: 0.8961, loss_size: 0.8550, loss_rotsin: 0.2976, loss_centerness: 0.5800, loss_velo: 0.0608, loss_dir: 0.5072, loss_attr: 0.4661, loss: 4.6605, grad_norm: 7.5379
2021-08-16 19:50:58,129 - mmdet - INFO - Epoch [3][1400/2217]	lr: 8.000e-03, eta: 11:54:40, time: 2.084, data_time: 0.051, memory: 20195, loss_cls: 0.2919, loss_offset: 0.7009, loss_depth: 0.8759, loss_size: 0.8593, loss_rotsin: 0.2988, loss_centerness: 0.5789, loss_velo: 0.0589, loss_dir: 0.5083, loss_attr: 0.4612, loss: 4.6340, grad_norm: 7.2337
2021-08-16 19:52:41,349 - mmdet - INFO - Epoch [3][1450/2217]	lr: 8.000e-03, eta: 11:52:57, time: 2.064, data_time: 0.048, memory: 20195, loss_cls: 0.2948, loss_offset: 0.6954, loss_depth: 0.9349, loss_size: 0.8484, loss_rotsin: 0.2947, loss_centerness: 0.5789, loss_velo: 0.0616, loss_dir: 0.5010, loss_attr: 0.4554, loss: 4.6651, grad_norm: 8.3722
2021-08-16 19:54:25,724 - mmdet - INFO - Epoch [3][1500/2217]	lr: 8.000e-03, eta: 11:51:18, time: 2.087, data_time: 0.052, memory: 20195, loss_cls: 0.2913, loss_offset: 0.6936, loss_depth: 0.8719, loss_size: 0.8371, loss_rotsin: 0.2916, loss_centerness: 0.5787, loss_velo: 0.0604, loss_dir: 0.4964, loss_attr: 0.4624, loss: 4.5833, grad_norm: 7.4705
2021-08-16 19:56:10,292 - mmdet - INFO - Epoch [3][1550/2217]	lr: 8.000e-03, eta: 11:49:39, time: 2.091, data_time: 0.053, memory: 20195, loss_cls: 0.2953, loss_offset: 0.7037, loss_depth: 1.0270, loss_size: 0.8629, loss_rotsin: 0.2991, loss_centerness: 0.5792, loss_velo: 0.0618, loss_dir: 0.5066, loss_attr: 0.4723, loss: 4.8078, grad_norm: 8.7752
2021-08-16 19:57:54,027 - mmdet - INFO - Epoch [3][1600/2217]	lr: 8.000e-03, eta: 11:47:58, time: 2.075, data_time: 0.050, memory: 20195, loss_cls: 0.2944, loss_offset: 0.7068, loss_depth: 0.8860, loss_size: 0.8486, loss_rotsin: 0.2994, loss_centerness: 0.5797, loss_velo: 0.0585, loss_dir: 0.5077, loss_attr: 0.4587, loss: 4.6398, grad_norm: 7.1625
2021-08-16 19:59:37,660 - mmdet - INFO - Epoch [3][1650/2217]	lr: 8.000e-03, eta: 11:46:16, time: 2.073, data_time: 0.048, memory: 20195, loss_cls: 0.2964, loss_offset: 0.6935, loss_depth: 0.8490, loss_size: 0.8820, loss_rotsin: 0.2998, loss_centerness: 0.5794, loss_velo: 0.0631, loss_dir: 0.4989, loss_attr: 0.4518, loss: 4.6139, grad_norm: 7.0048
2021-08-16 20:01:21,739 - mmdet - INFO - Epoch [3][1700/2217]	lr: 8.000e-03, eta: 11:44:35, time: 2.082, data_time: 0.054, memory: 20195, loss_cls: 0.2950, loss_offset: 0.6932, loss_depth: 1.0472, loss_size: 0.8549, loss_rotsin: 0.2953, loss_centerness: 0.5787, loss_velo: 0.0641, loss_dir: 0.4964, loss_attr: 0.4623, loss: 4.7870, grad_norm: 9.1054
2021-08-16 20:03:05,868 - mmdet - INFO - Epoch [3][1750/2217]	lr: 8.000e-03, eta: 11:42:55, time: 2.083, data_time: 0.055, memory: 20195, loss_cls: 0.3268, loss_offset: 0.7669, loss_depth: 0.9675, loss_size: 1.0141, loss_rotsin: 0.3255, loss_centerness: 0.5821, loss_velo: 0.0594, loss_dir: 0.5380, loss_attr: 0.5565, loss: 5.1368, grad_norm: 30.7481
2021-08-16 20:04:49,428 - mmdet - INFO - Epoch [3][1800/2217]	lr: 8.000e-03, eta: 11:41:12, time: 2.071, data_time: 0.053, memory: 20195, loss_cls: 0.3686, loss_offset: 0.8612, loss_depth: 1.1252, loss_size: 1.1618, loss_rotsin: 0.3498, loss_centerness: 0.5862, loss_velo: 0.0588, loss_dir: 0.6039, loss_attr: 0.6748, loss: 5.7902, grad_norm: 10.2100
2021-08-16 20:06:32,809 - mmdet - INFO - Epoch [3][1850/2217]	lr: 8.000e-03, eta: 11:39:29, time: 2.068, data_time: 0.051, memory: 20195, loss_cls: 0.3304, loss_offset: 0.7770, loss_depth: 0.9927, loss_size: 1.0229, loss_rotsin: 0.3196, loss_centerness: 0.5826, loss_velo: 0.0617, loss_dir: 0.5572, loss_attr: 0.5593, loss: 5.2034, grad_norm: 7.6224
2021-08-16 20:08:17,372 - mmdet - INFO - Epoch [3][1900/2217]	lr: 8.000e-03, eta: 11:37:50, time: 2.091, data_time: 0.054, memory: 20195, loss_cls: 0.3209, loss_offset: 0.7582, loss_depth: 0.9799, loss_size: 0.9547, loss_rotsin: 0.3143, loss_centerness: 0.5817, loss_velo: 0.0668, loss_dir: 0.5352, loss_attr: 0.5532, loss: 5.0649, grad_norm: 8.0874
2021-08-16 20:10:01,944 - mmdet - INFO - Epoch [3][1950/2217]	lr: 8.000e-03, eta: 11:36:11, time: 2.091, data_time: 0.054, memory: 20195, loss_cls: 0.3152, loss_offset: 0.7389, loss_depth: 0.8952, loss_size: 0.9331, loss_rotsin: 0.3007, loss_centerness: 0.5811, loss_velo: 0.0620, loss_dir: 0.5195, loss_attr: 0.5124, loss: 4.8582, grad_norm: 6.8111
2021-08-16 20:11:46,183 - mmdet - INFO - Epoch [3][2000/2217]	lr: 8.000e-03, eta: 11:34:31, time: 2.085, data_time: 0.055, memory: 20195, loss_cls: 0.3103, loss_offset: 0.7344, loss_depth: 0.8968, loss_size: 0.9564, loss_rotsin: 0.3101, loss_centerness: 0.5808, loss_velo: 0.0616, loss_dir: 0.5287, loss_attr: 0.5102, loss: 4.8894, grad_norm: 7.0890
2021-08-16 20:13:30,711 - mmdet - INFO - Epoch [3][2050/2217]	lr: 8.000e-03, eta: 11:32:51, time: 2.091, data_time: 0.056, memory: 20195, loss_cls: 0.3047, loss_offset: 0.7283, loss_depth: 0.9362, loss_size: 0.8935, loss_rotsin: 0.3050, loss_centerness: 0.5808, loss_velo: 0.0611, loss_dir: 0.5166, loss_attr: 0.4749, loss: 4.8010, grad_norm: 7.7967
2021-08-16 20:15:15,527 - mmdet - INFO - Epoch [3][2100/2217]	lr: 8.000e-03, eta: 11:31:13, time: 2.096, data_time: 0.051, memory: 20195, loss_cls: 0.3058, loss_offset: 0.7264, loss_depth: 0.9402, loss_size: 0.9008, loss_rotsin: 0.3080, loss_centerness: 0.5801, loss_velo: 0.0612, loss_dir: 0.5095, loss_attr: 0.4787, loss: 4.8108, grad_norm: 7.9061
2021-08-16 20:16:59,984 - mmdet - INFO - Epoch [3][2150/2217]	lr: 8.000e-03, eta: 11:29:33, time: 2.089, data_time: 0.052, memory: 20195, loss_cls: 0.3021, loss_offset: 0.7210, loss_depth: 0.8876, loss_size: 0.8941, loss_rotsin: 0.3044, loss_centerness: 0.5807, loss_velo: 0.0601, loss_dir: 0.5159, loss_attr: 0.4786, loss: 4.7445, grad_norm: 7.0963
2021-08-16 20:18:44,255 - mmdet - INFO - Epoch [3][2200/2217]	lr: 8.000e-03, eta: 11:27:52, time: 2.085, data_time: 0.049, memory: 20195, loss_cls: 0.2998, loss_offset: 0.7103, loss_depth: 0.9274, loss_size: 0.8914, loss_rotsin: 0.2974, loss_centerness: 0.5795, loss_velo: 0.0635, loss_dir: 0.5010, loss_attr: 0.4844, loss: 4.7549, grad_norm: 7.6259
2021-08-16 20:19:20,356 - mmdet - INFO - Saving checkpoint at 3 epochs
2021-08-16 20:21:12,881 - mmdet - INFO - Epoch [4][50/2217]	lr: 8.000e-03, eta: 11:24:14, time: 2.230, data_time: 0.195, memory: 20195, loss_cls: 0.3002, loss_offset: 0.7116, loss_depth: 0.8629, loss_size: 0.8728, loss_rotsin: 0.3011, loss_centerness: 0.5799, loss_velo: 0.0634, loss_dir: 0.5102, loss_attr: 0.4493, loss: 4.6514, grad_norm: 7.4648
2021-08-16 20:22:56,057 - mmdet - INFO - Epoch [4][100/2217]	lr: 8.000e-03, eta: 11:22:31, time: 2.064, data_time: 0.050, memory: 20195, loss_cls: 0.2951, loss_offset: 0.7062, loss_depth: 0.8396, loss_size: 0.8410, loss_rotsin: 0.2933, loss_centerness: 0.5793, loss_velo: 0.0589, loss_dir: 0.4985, loss_attr: 0.4557, loss: 4.5675, grad_norm: 7.0144
2021-08-16 20:24:39,580 - mmdet - INFO - Epoch [4][150/2217]	lr: 8.000e-03, eta: 11:20:49, time: 2.070, data_time: 0.052, memory: 20195, loss_cls: 0.2930, loss_offset: 0.6945, loss_depth: 0.8528, loss_size: 0.8525, loss_rotsin: 0.2869, loss_centerness: 0.5788, loss_velo: 0.0615, loss_dir: 0.4897, loss_attr: 0.4521, loss: 4.5618, grad_norm: 7.3271
2021-08-16 20:26:23,062 - mmdet - INFO - Epoch [4][200/2217]	lr: 8.000e-03, eta: 11:19:07, time: 2.070, data_time: 0.051, memory: 20195, loss_cls: 0.2960, loss_offset: 0.6997, loss_depth: 0.8644, loss_size: 0.8390, loss_rotsin: 0.2943, loss_centerness: 0.5790, loss_velo: 0.0626, loss_dir: 0.5047, loss_attr: 0.4458, loss: 4.5857, grad_norm: 7.6553
2021-08-16 20:28:07,398 - mmdet - INFO - Epoch [4][250/2217]	lr: 8.000e-03, eta: 11:17:27, time: 2.087, data_time: 0.054, memory: 20195, loss_cls: 0.2914, loss_offset: 0.6985, loss_depth: 0.8407, loss_size: 0.8588, loss_rotsin: 0.2880, loss_centerness: 0.5794, loss_velo: 0.0587, loss_dir: 0.4941, loss_attr: 0.4259, loss: 4.5356, grad_norm: 7.2612
2021-08-16 20:29:51,497 - mmdet - INFO - Epoch [4][300/2217]	lr: 8.000e-03, eta: 11:15:46, time: 2.082, data_time: 0.054, memory: 20195, loss_cls: 0.2895, loss_offset: 0.6882, loss_depth: 0.8524, loss_size: 0.8464, loss_rotsin: 0.2878, loss_centerness: 0.5785, loss_velo: 0.0579, loss_dir: 0.4909, loss_attr: 0.4300, loss: 4.5218, grad_norm: 7.6035
2021-08-16 20:31:35,494 - mmdet - INFO - Epoch [4][350/2217]	lr: 8.000e-03, eta: 11:14:05, time: 2.080, data_time: 0.054, memory: 20195, loss_cls: 0.3103, loss_offset: 0.7306, loss_depth: 0.9977, loss_size: 0.9121, loss_rotsin: 0.3026, loss_centerness: 0.5803, loss_velo: 0.0610, loss_dir: 0.5149, loss_attr: 0.4904, loss: 4.8999, grad_norm: 12.3719
2021-08-16 20:33:19,740 - mmdet - INFO - Epoch [4][400/2217]	lr: 8.000e-03, eta: 11:12:25, time: 2.085, data_time: 0.055, memory: 20195, loss_cls: 0.3150, loss_offset: 0.7425, loss_depth: 1.1502, loss_size: 0.9284, loss_rotsin: 0.2986, loss_centerness: 0.5816, loss_velo: 0.0612, loss_dir: 0.5233, loss_attr: 0.5085, loss: 5.1093, grad_norm: 11.2660
2021-08-16 20:35:04,005 - mmdet - INFO - Epoch [4][450/2217]	lr: 8.000e-03, eta: 11:10:45, time: 2.085, data_time: 0.051, memory: 20207, loss_cls: 0.3077, loss_offset: 0.7325, loss_depth: 0.9598, loss_size: 0.9087, loss_rotsin: 0.2966, loss_centerness: 0.5806, loss_velo: 0.0630, loss_dir: 0.5179, loss_attr: 0.4854, loss: 4.8522, grad_norm: 9.2546
2021-08-16 20:36:48,320 - mmdet - INFO - Epoch [4][500/2217]	lr: 8.000e-03, eta: 11:09:05, time: 2.086, data_time: 0.051, memory: 20207, loss_cls: 0.2994, loss_offset: 0.7073, loss_depth: 0.9145, loss_size: 0.8524, loss_rotsin: 0.2865, loss_centerness: 0.5792, loss_velo: 0.0590, loss_dir: 0.4939, loss_attr: 0.4602, loss: 4.6524, grad_norm: 7.9425
2021-08-16 20:38:32,681 - mmdet - INFO - Epoch [4][550/2217]	lr: 8.000e-03, eta: 11:07:25, time: 2.087, data_time: 0.053, memory: 20207, loss_cls: 0.2955, loss_offset: 0.7005, loss_depth: 0.9289, loss_size: 0.8378, loss_rotsin: 0.2859, loss_centerness: 0.5794, loss_velo: 0.0646, loss_dir: 0.5003, loss_attr: 0.4691, loss: 4.6620, grad_norm: 7.8237
2021-08-16 20:40:16,656 - mmdet - INFO - Epoch [4][600/2217]	lr: 8.000e-03, eta: 11:05:44, time: 2.079, data_time: 0.050, memory: 20207, loss_cls: 0.2953, loss_offset: 0.7015, loss_depth: 0.8544, loss_size: 0.8684, loss_rotsin: 0.2873, loss_centerness: 0.5790, loss_velo: 0.0651, loss_dir: 0.4911, loss_attr: 0.4390, loss: 4.5811, grad_norm: 6.9072
2021-08-16 20:42:00,974 - mmdet - INFO - Epoch [4][650/2217]	lr: 8.000e-03, eta: 11:04:04, time: 2.086, data_time: 0.053, memory: 20207, loss_cls: 0.2907, loss_offset: 0.6979, loss_depth: 0.8418, loss_size: 0.8225, loss_rotsin: 0.2869, loss_centerness: 0.5788, loss_velo: 0.0609, loss_dir: 0.4943, loss_attr: 0.4225, loss: 4.4962, grad_norm: 7.0927
2021-08-16 20:43:46,538 - mmdet - INFO - Epoch [4][700/2217]	lr: 8.000e-03, eta: 11:02:27, time: 2.111, data_time: 0.052, memory: 20207, loss_cls: 0.2933, loss_offset: 0.7008, loss_depth: 0.8872, loss_size: 0.8383, loss_rotsin: 0.2887, loss_centerness: 0.5785, loss_velo: 0.0603, loss_dir: 0.4969, loss_attr: 0.4497, loss: 4.5937, grad_norm: 7.5745
2021-08-16 20:45:32,202 - mmdet - INFO - Epoch [4][750/2217]	lr: 8.000e-03, eta: 11:00:50, time: 2.113, data_time: 0.051, memory: 20207, loss_cls: 0.2903, loss_offset: 0.6969, loss_depth: 0.9085, loss_size: 0.8430, loss_rotsin: 0.2831, loss_centerness: 0.5791, loss_velo: 0.0589, loss_dir: 0.4964, loss_attr: 0.4455, loss: 4.6016, grad_norm: 7.9011
2021-08-16 20:47:17,308 - mmdet - INFO - Epoch [4][800/2217]	lr: 8.000e-03, eta: 10:59:11, time: 2.102, data_time: 0.051, memory: 20207, loss_cls: 0.2917, loss_offset: 0.6916, loss_depth: 0.8771, loss_size: 0.8406, loss_rotsin: 0.2877, loss_centerness: 0.5790, loss_velo: 0.0639, loss_dir: 0.4879, loss_attr: 0.4483, loss: 4.5678, grad_norm: 7.9740
2021-08-16 20:49:02,161 - mmdet - INFO - Epoch [4][850/2217]	lr: 8.000e-03, eta: 10:57:32, time: 2.097, data_time: 0.048, memory: 20207, loss_cls: 0.2878, loss_offset: 0.6880, loss_depth: 0.9237, loss_size: 0.8107, loss_rotsin: 0.2850, loss_centerness: 0.5789, loss_velo: 0.0620, loss_dir: 0.4862, loss_attr: 0.4384, loss: 4.5606, grad_norm: 8.1332
2021-08-16 20:50:46,591 - mmdet - INFO - Epoch [4][900/2217]	lr: 8.000e-03, eta: 10:55:52, time: 2.089, data_time: 0.050, memory: 20207, loss_cls: 0.2896, loss_offset: 0.6887, loss_depth: 0.8354, loss_size: 0.8214, loss_rotsin: 0.2812, loss_centerness: 0.5785, loss_velo: 0.0638, loss_dir: 0.4967, loss_attr: 0.4407, loss: 4.4961, grad_norm: 7.2070
2021-08-16 20:52:30,849 - mmdet - INFO - Epoch [4][950/2217]	lr: 8.000e-03, eta: 10:54:11, time: 2.085, data_time: 0.050, memory: 20207, loss_cls: 0.2900, loss_offset: 0.6838, loss_depth: 0.9332, loss_size: 0.8396, loss_rotsin: 0.2843, loss_centerness: 0.5784, loss_velo: 0.0628, loss_dir: 0.4926, loss_attr: 0.4482, loss: 4.6129, grad_norm: 8.2644
2021-08-16 20:54:15,207 - mmdet - INFO - Epoch [4][1000/2217]	lr: 8.000e-03, eta: 10:52:30, time: 2.087, data_time: 0.050, memory: 20207, loss_cls: 0.2836, loss_offset: 0.6794, loss_depth: 0.8687, loss_size: 0.8099, loss_rotsin: 0.2821, loss_centerness: 0.5788, loss_velo: 0.0642, loss_dir: 0.4873, loss_attr: 0.4221, loss: 4.4761, grad_norm: 7.3494
2021-08-16 20:55:59,685 - mmdet - INFO - Epoch [4][1050/2217]	lr: 8.000e-03, eta: 10:50:50, time: 2.090, data_time: 0.050, memory: 20207, loss_cls: 0.2838, loss_offset: 0.6862, loss_depth: 0.8277, loss_size: 0.8236, loss_rotsin: 0.2834, loss_centerness: 0.5788, loss_velo: 0.0577, loss_dir: 0.4884, loss_attr: 0.4105, loss: 4.4400, grad_norm: 6.9338
2021-08-16 20:57:43,748 - mmdet - INFO - Epoch [4][1100/2217]	lr: 8.000e-03, eta: 10:49:09, time: 2.081, data_time: 0.050, memory: 20207, loss_cls: 0.2900, loss_offset: 0.6941, loss_depth: 0.8354, loss_size: 0.8213, loss_rotsin: 0.2867, loss_centerness: 0.5791, loss_velo: 0.0572, loss_dir: 0.4926, loss_attr: 0.4459, loss: 4.5023, grad_norm: 7.3631
2021-08-16 20:59:27,379 - mmdet - INFO - Epoch [4][1150/2217]	lr: 8.000e-03, eta: 10:47:26, time: 2.073, data_time: 0.049, memory: 20207, loss_cls: 0.2893, loss_offset: 0.6910, loss_depth: 0.8740, loss_size: 0.8123, loss_rotsin: 0.2847, loss_centerness: 0.5785, loss_velo: 0.0622, loss_dir: 0.4868, loss_attr: 0.4385, loss: 4.5174, grad_norm: 7.8603
2021-08-16 21:01:11,573 - mmdet - INFO - Epoch [4][1200/2217]	lr: 8.000e-03, eta: 10:45:45, time: 2.084, data_time: 0.049, memory: 20207, loss_cls: 0.2835, loss_offset: 0.6826, loss_depth: 0.9081, loss_size: 0.8066, loss_rotsin: 0.2727, loss_centerness: 0.5789, loss_velo: 0.0618, loss_dir: 0.4745, loss_attr: 0.4118, loss: 4.4805, grad_norm: 7.6063
2021-08-16 21:02:55,144 - mmdet - INFO - Epoch [4][1250/2217]	lr: 8.000e-03, eta: 10:44:02, time: 2.071, data_time: 0.051, memory: 20207, loss_cls: 0.2836, loss_offset: 0.6801, loss_depth: 0.8600, loss_size: 0.8090, loss_rotsin: 0.2776, loss_centerness: 0.5782, loss_velo: 0.0629, loss_dir: 0.4812, loss_attr: 0.4130, loss: 4.4457, grad_norm: 7.5324
2021-08-16 21:04:39,078 - mmdet - INFO - Epoch [4][1300/2217]	lr: 8.000e-03, eta: 10:42:21, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2846, loss_offset: 0.6768, loss_depth: 0.8103, loss_size: 0.7985, loss_rotsin: 0.2856, loss_centerness: 0.5782, loss_velo: 0.0626, loss_dir: 0.4806, loss_attr: 0.4108, loss: 4.3879, grad_norm: 6.9776
2021-08-16 21:06:22,682 - mmdet - INFO - Epoch [4][1350/2217]	lr: 8.000e-03, eta: 10:40:38, time: 2.072, data_time: 0.049, memory: 20207, loss_cls: 0.2881, loss_offset: 0.6901, loss_depth: 0.8638, loss_size: 0.8165, loss_rotsin: 0.2844, loss_centerness: 0.5783, loss_velo: 0.0606, loss_dir: 0.4881, loss_attr: 0.4267, loss: 4.4968, grad_norm: 7.6781
2021-08-16 21:08:06,509 - mmdet - INFO - Epoch [4][1400/2217]	lr: 8.000e-03, eta: 10:38:56, time: 2.077, data_time: 0.053, memory: 20207, loss_cls: 0.2798, loss_offset: 0.6713, loss_depth: 0.7944, loss_size: 0.8158, loss_rotsin: 0.2750, loss_centerness: 0.5777, loss_velo: 0.0613, loss_dir: 0.4754, loss_attr: 0.4136, loss: 4.3644, grad_norm: 6.5900
2021-08-16 21:09:50,964 - mmdet - INFO - Epoch [4][1450/2217]	lr: 8.000e-03, eta: 10:37:15, time: 2.089, data_time: 0.056, memory: 20207, loss_cls: 0.2863, loss_offset: 0.6850, loss_depth: 0.9229, loss_size: 0.8101, loss_rotsin: 0.2799, loss_centerness: 0.5783, loss_velo: 0.0620, loss_dir: 0.4778, loss_attr: 0.4127, loss: 4.5150, grad_norm: 8.5720
2021-08-16 21:11:35,137 - mmdet - INFO - Epoch [4][1500/2217]	lr: 8.000e-03, eta: 10:35:34, time: 2.083, data_time: 0.054, memory: 20207, loss_cls: 0.2846, loss_offset: 0.6703, loss_depth: 0.9316, loss_size: 0.8109, loss_rotsin: 0.2686, loss_centerness: 0.5777, loss_velo: 0.0614, loss_dir: 0.4672, loss_attr: 0.4133, loss: 4.4856, grad_norm: 8.1042
2021-08-16 21:13:19,693 - mmdet - INFO - Epoch [4][1550/2217]	lr: 8.000e-03, eta: 10:33:53, time: 2.091, data_time: 0.054, memory: 20207, loss_cls: 0.2814, loss_offset: 0.6704, loss_depth: 0.8807, loss_size: 0.8104, loss_rotsin: 0.2711, loss_centerness: 0.5778, loss_velo: 0.0632, loss_dir: 0.4701, loss_attr: 0.4283, loss: 4.4532, grad_norm: 7.8003
2021-08-16 21:15:04,056 - mmdet - INFO - Epoch [4][1600/2217]	lr: 8.000e-03, eta: 10:32:12, time: 2.087, data_time: 0.052, memory: 20207, loss_cls: 0.2850, loss_offset: 0.6780, loss_depth: 0.8067, loss_size: 0.8206, loss_rotsin: 0.2737, loss_centerness: 0.5787, loss_velo: 0.0626, loss_dir: 0.4821, loss_attr: 0.4400, loss: 4.4273, grad_norm: 7.1076
2021-08-16 21:16:48,946 - mmdet - INFO - Epoch [4][1650/2217]	lr: 8.000e-03, eta: 10:30:32, time: 2.098, data_time: 0.053, memory: 20207, loss_cls: 0.2797, loss_offset: 0.6775, loss_depth: 0.8685, loss_size: 0.7901, loss_rotsin: 0.2769, loss_centerness: 0.5781, loss_velo: 0.0595, loss_dir: 0.4834, loss_attr: 0.4073, loss: 4.4211, grad_norm: 7.4738
2021-08-16 21:18:33,318 - mmdet - INFO - Epoch [4][1700/2217]	lr: 8.000e-03, eta: 10:28:51, time: 2.087, data_time: 0.053, memory: 20207, loss_cls: 0.2804, loss_offset: 0.6735, loss_depth: 0.7656, loss_size: 0.7774, loss_rotsin: 0.2744, loss_centerness: 0.5780, loss_velo: 0.0608, loss_dir: 0.4790, loss_attr: 0.4107, loss: 4.2998, grad_norm: 6.4590
2021-08-16 21:20:17,359 - mmdet - INFO - Epoch [4][1750/2217]	lr: 8.000e-03, eta: 10:27:09, time: 2.081, data_time: 0.054, memory: 20207, loss_cls: 0.2822, loss_offset: 0.6802, loss_depth: 0.8706, loss_size: 0.8025, loss_rotsin: 0.2784, loss_centerness: 0.5781, loss_velo: 0.0612, loss_dir: 0.4785, loss_attr: 0.4139, loss: 4.4456, grad_norm: 7.7342
2021-08-16 21:22:01,861 - mmdet - INFO - Epoch [4][1800/2217]	lr: 8.000e-03, eta: 10:25:28, time: 2.090, data_time: 0.055, memory: 20207, loss_cls: 0.2824, loss_offset: 0.6695, loss_depth: 0.7988, loss_size: 0.8159, loss_rotsin: 0.2654, loss_centerness: 0.5779, loss_velo: 0.0606, loss_dir: 0.4720, loss_attr: 0.4157, loss: 4.3581, grad_norm: 6.4562
2021-08-16 21:23:46,784 - mmdet - INFO - Epoch [4][1850/2217]	lr: 8.000e-03, eta: 10:23:48, time: 2.099, data_time: 0.053, memory: 20207, loss_cls: 0.2769, loss_offset: 0.6707, loss_depth: 0.8006, loss_size: 0.7809, loss_rotsin: 0.2750, loss_centerness: 0.5778, loss_velo: 0.0592, loss_dir: 0.4757, loss_attr: 0.4031, loss: 4.3200, grad_norm: 7.4455
2021-08-16 21:25:31,629 - mmdet - INFO - Epoch [4][1900/2217]	lr: 8.000e-03, eta: 10:22:08, time: 2.097, data_time: 0.057, memory: 20207, loss_cls: 0.2818, loss_offset: 0.6769, loss_depth: 0.8211, loss_size: 0.7974, loss_rotsin: 0.2748, loss_centerness: 0.5778, loss_velo: 0.0593, loss_dir: 0.4695, loss_attr: 0.3988, loss: 4.3574, grad_norm: 7.3008
2021-08-16 21:27:15,781 - mmdet - INFO - Epoch [4][1950/2217]	lr: 8.000e-03, eta: 10:20:26, time: 2.083, data_time: 0.052, memory: 20207, loss_cls: 0.2786, loss_offset: 0.6731, loss_depth: 0.7709, loss_size: 0.7828, loss_rotsin: 0.2697, loss_centerness: 0.5781, loss_velo: 0.0598, loss_dir: 0.4758, loss_attr: 0.3966, loss: 4.2855, grad_norm: 7.8830
2021-08-16 21:28:59,847 - mmdet - INFO - Epoch [4][2000/2217]	lr: 8.000e-03, eta: 10:18:44, time: 2.081, data_time: 0.052, memory: 20207, loss_cls: 0.2792, loss_offset: 0.6768, loss_depth: 0.8411, loss_size: 0.7776, loss_rotsin: 0.2791, loss_centerness: 0.5783, loss_velo: 0.0593, loss_dir: 0.4772, loss_attr: 0.4023, loss: 4.3709, grad_norm: 7.6291
2021-08-16 21:30:43,856 - mmdet - INFO - Epoch [4][2050/2217]	lr: 8.000e-03, eta: 10:17:02, time: 2.080, data_time: 0.054, memory: 20207, loss_cls: 0.2837, loss_offset: 0.6716, loss_depth: 0.7907, loss_size: 0.7907, loss_rotsin: 0.2708, loss_centerness: 0.5782, loss_velo: 0.0591, loss_dir: 0.4723, loss_attr: 0.4068, loss: 4.3239, grad_norm: 6.9328
2021-08-16 21:32:28,247 - mmdet - INFO - Epoch [4][2100/2217]	lr: 8.000e-03, eta: 10:15:21, time: 2.088, data_time: 0.057, memory: 20207, loss_cls: 0.2786, loss_offset: 0.6711, loss_depth: 0.9077, loss_size: 0.8009, loss_rotsin: 0.2713, loss_centerness: 0.5781, loss_velo: 0.0588, loss_dir: 0.4702, loss_attr: 0.4091, loss: 4.4459, grad_norm: 8.0161
2021-08-16 21:34:12,393 - mmdet - INFO - Epoch [4][2150/2217]	lr: 8.000e-03, eta: 10:13:39, time: 2.083, data_time: 0.052, memory: 20207, loss_cls: 0.2806, loss_offset: 0.6715, loss_depth: 0.8380, loss_size: 0.8155, loss_rotsin: 0.2756, loss_centerness: 0.5778, loss_velo: 0.0631, loss_dir: 0.4742, loss_attr: 0.4200, loss: 4.4164, grad_norm: 7.5268
2021-08-16 21:35:56,370 - mmdet - INFO - Epoch [4][2200/2217]	lr: 8.000e-03, eta: 10:11:56, time: 2.080, data_time: 0.052, memory: 20207, loss_cls: 0.2761, loss_offset: 0.6635, loss_depth: 0.8082, loss_size: 0.7696, loss_rotsin: 0.2707, loss_centerness: 0.5773, loss_velo: 0.0626, loss_dir: 0.4754, loss_attr: 0.3989, loss: 4.3023, grad_norm: 7.3783
2021-08-16 21:36:32,022 - mmdet - INFO - Saving checkpoint at 4 epochs
2021-08-16 21:38:24,232 - mmdet - INFO - Epoch [5][50/2217]	lr: 8.000e-03, eta: 10:08:44, time: 2.224, data_time: 0.198, memory: 20207, loss_cls: 0.2776, loss_offset: 0.6659, loss_depth: 0.7888, loss_size: 0.7727, loss_rotsin: 0.2669, loss_centerness: 0.5781, loss_velo: 0.0588, loss_dir: 0.4592, loss_attr: 0.3764, loss: 4.2445, grad_norm: 7.1560
2021-08-16 21:40:08,540 - mmdet - INFO - Epoch [5][100/2217]	lr: 8.000e-03, eta: 10:07:02, time: 2.086, data_time: 0.055, memory: 20207, loss_cls: 0.2740, loss_offset: 0.6585, loss_depth: 0.8197, loss_size: 0.7534, loss_rotsin: 0.2670, loss_centerness: 0.5772, loss_velo: 0.0615, loss_dir: 0.4655, loss_attr: 0.3819, loss: 4.2586, grad_norm: 7.3968
2021-08-16 21:41:52,612 - mmdet - INFO - Epoch [5][150/2217]	lr: 8.000e-03, eta: 10:05:21, time: 2.082, data_time: 0.054, memory: 20207, loss_cls: 0.2711, loss_offset: 0.6567, loss_depth: 0.7251, loss_size: 0.7278, loss_rotsin: 0.2612, loss_centerness: 0.5771, loss_velo: 0.0608, loss_dir: 0.4491, loss_attr: 0.3615, loss: 4.0905, grad_norm: 6.4608
2021-08-16 21:43:36,229 - mmdet - INFO - Epoch [5][200/2217]	lr: 8.000e-03, eta: 10:03:38, time: 2.072, data_time: 0.054, memory: 20207, loss_cls: 0.2746, loss_offset: 0.6607, loss_depth: 0.7921, loss_size: 0.7382, loss_rotsin: 0.2656, loss_centerness: 0.5781, loss_velo: 0.0596, loss_dir: 0.4628, loss_attr: 0.3836, loss: 4.2152, grad_norm: 8.1780
2021-08-16 21:45:19,966 - mmdet - INFO - Epoch [5][250/2217]	lr: 8.000e-03, eta: 10:01:56, time: 2.075, data_time: 0.050, memory: 20207, loss_cls: 0.2762, loss_offset: 0.6669, loss_depth: 0.8050, loss_size: 0.7632, loss_rotsin: 0.2656, loss_centerness: 0.5779, loss_velo: 0.0595, loss_dir: 0.4652, loss_attr: 0.3941, loss: 4.2735, grad_norm: 8.8969
2021-08-16 21:47:03,343 - mmdet - INFO - Epoch [5][300/2217]	lr: 8.000e-03, eta: 10:00:13, time: 2.068, data_time: 0.052, memory: 20207, loss_cls: 0.2760, loss_offset: 0.6605, loss_depth: 0.7772, loss_size: 0.7421, loss_rotsin: 0.2619, loss_centerness: 0.5771, loss_velo: 0.0610, loss_dir: 0.4626, loss_attr: 0.3716, loss: 4.1900, grad_norm: 7.1030
2021-08-16 21:48:46,729 - mmdet - INFO - Epoch [5][350/2217]	lr: 8.000e-03, eta: 9:58:30, time: 2.068, data_time: 0.052, memory: 20207, loss_cls: 0.2737, loss_offset: 0.6587, loss_depth: 0.7400, loss_size: 0.7564, loss_rotsin: 0.2652, loss_centerness: 0.5775, loss_velo: 0.0609, loss_dir: 0.4638, loss_attr: 0.3734, loss: 4.1697, grad_norm: 6.9848
2021-08-16 21:50:29,895 - mmdet - INFO - Epoch [5][400/2217]	lr: 8.000e-03, eta: 9:56:46, time: 2.063, data_time: 0.054, memory: 20207, loss_cls: 0.2779, loss_offset: 0.6674, loss_depth: 0.7707, loss_size: 0.7601, loss_rotsin: 0.2662, loss_centerness: 0.5777, loss_velo: 0.0609, loss_dir: 0.4664, loss_attr: 0.3886, loss: 4.2359, grad_norm: 7.7170
2021-08-16 21:52:13,836 - mmdet - INFO - Epoch [5][450/2217]	lr: 8.000e-03, eta: 9:55:04, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2752, loss_offset: 0.6636, loss_depth: 0.8211, loss_size: 0.7628, loss_rotsin: 0.2651, loss_centerness: 0.5776, loss_velo: 0.0599, loss_dir: 0.4681, loss_attr: 0.3946, loss: 4.2879, grad_norm: 7.7640
2021-08-16 21:53:57,835 - mmdet - INFO - Epoch [5][500/2217]	lr: 8.000e-03, eta: 9:53:22, time: 2.080, data_time: 0.054, memory: 20207, loss_cls: 0.2782, loss_offset: 0.6628, loss_depth: 0.7920, loss_size: 0.7706, loss_rotsin: 0.2646, loss_centerness: 0.5775, loss_velo: 0.0586, loss_dir: 0.4644, loss_attr: 0.3854, loss: 4.2543, grad_norm: 7.1602
2021-08-16 21:55:41,842 - mmdet - INFO - Epoch [5][550/2217]	lr: 8.000e-03, eta: 9:51:40, time: 2.080, data_time: 0.049, memory: 20207, loss_cls: 0.2741, loss_offset: 0.6592, loss_depth: 0.7974, loss_size: 0.7527, loss_rotsin: 0.2665, loss_centerness: 0.5770, loss_velo: 0.0599, loss_dir: 0.4598, loss_attr: 0.3829, loss: 4.2294, grad_norm: 8.8434
2021-08-16 21:57:25,851 - mmdet - INFO - Epoch [5][600/2217]	lr: 8.000e-03, eta: 9:49:58, time: 2.080, data_time: 0.048, memory: 20207, loss_cls: 0.3241, loss_offset: 0.7567, loss_depth: 0.9525, loss_size: 0.9376, loss_rotsin: 0.2976, loss_centerness: 0.5816, loss_velo: 0.0589, loss_dir: 0.5129, loss_attr: 0.5241, loss: 4.9460, grad_norm: 41.0781
2021-08-16 21:59:11,101 - mmdet - INFO - Epoch [5][650/2217]	lr: 8.000e-03, eta: 9:48:18, time: 2.105, data_time: 0.052, memory: 20207, loss_cls: 0.3245, loss_offset: 0.7459, loss_depth: 0.9638, loss_size: 0.9528, loss_rotsin: 0.2968, loss_centerness: 0.5810, loss_velo: 0.0575, loss_dir: 0.5189, loss_attr: 0.5309, loss: 4.9722, grad_norm: 10.6685
2021-08-16 22:00:55,941 - mmdet - INFO - Epoch [5][700/2217]	lr: 8.000e-03, eta: 9:46:38, time: 2.097, data_time: 0.051, memory: 20207, loss_cls: 0.3019, loss_offset: 0.7083, loss_depth: 0.9892, loss_size: 0.8786, loss_rotsin: 0.2825, loss_centerness: 0.5796, loss_velo: 0.0613, loss_dir: 0.4877, loss_attr: 0.4570, loss: 4.7460, grad_norm: 9.2162
2021-08-16 22:02:40,514 - mmdet - INFO - Epoch [5][750/2217]	lr: 8.000e-03, eta: 9:44:57, time: 2.092, data_time: 0.050, memory: 20207, loss_cls: 0.2923, loss_offset: 0.7017, loss_depth: 0.8137, loss_size: 0.8367, loss_rotsin: 0.2768, loss_centerness: 0.5787, loss_velo: 0.0578, loss_dir: 0.4817, loss_attr: 0.4261, loss: 4.4655, grad_norm: 7.2808
2021-08-16 22:04:25,479 - mmdet - INFO - Epoch [5][800/2217]	lr: 8.000e-03, eta: 9:43:16, time: 2.099, data_time: 0.049, memory: 20207, loss_cls: 0.2903, loss_offset: 0.6926, loss_depth: 0.8661, loss_size: 0.7944, loss_rotsin: 0.2750, loss_centerness: 0.5788, loss_velo: 0.0562, loss_dir: 0.4821, loss_attr: 0.4109, loss: 4.4465, grad_norm: 7.9141
2021-08-16 22:06:10,007 - mmdet - INFO - Epoch [5][850/2217]	lr: 8.000e-03, eta: 9:41:35, time: 2.091, data_time: 0.050, memory: 20207, loss_cls: 0.2843, loss_offset: 0.6813, loss_depth: 0.8482, loss_size: 0.8134, loss_rotsin: 0.2719, loss_centerness: 0.5785, loss_velo: 0.0604, loss_dir: 0.4712, loss_attr: 0.4117, loss: 4.4209, grad_norm: 7.9958
2021-08-16 22:07:54,255 - mmdet - INFO - Epoch [5][900/2217]	lr: 8.000e-03, eta: 9:39:53, time: 2.085, data_time: 0.051, memory: 20207, loss_cls: 0.2884, loss_offset: 0.6813, loss_depth: 0.8166, loss_size: 0.8233, loss_rotsin: 0.2773, loss_centerness: 0.5785, loss_velo: 0.0580, loss_dir: 0.4761, loss_attr: 0.4165, loss: 4.4160, grad_norm: 8.1581
2021-08-16 22:09:38,658 - mmdet - INFO - Epoch [5][950/2217]	lr: 8.000e-03, eta: 9:38:12, time: 2.088, data_time: 0.053, memory: 20207, loss_cls: 0.2881, loss_offset: 0.6854, loss_depth: 0.8198, loss_size: 0.8138, loss_rotsin: 0.2758, loss_centerness: 0.5788, loss_velo: 0.0611, loss_dir: 0.4766, loss_attr: 0.3997, loss: 4.3991, grad_norm: 8.0372
2021-08-16 22:11:22,777 - mmdet - INFO - Epoch [5][1000/2217]	lr: 8.000e-03, eta: 9:36:30, time: 2.082, data_time: 0.050, memory: 20207, loss_cls: 0.2829, loss_offset: 0.6783, loss_depth: 0.8344, loss_size: 0.8131, loss_rotsin: 0.2608, loss_centerness: 0.5778, loss_velo: 0.0592, loss_dir: 0.4667, loss_attr: 0.3924, loss: 4.3657, grad_norm: 8.1471
2021-08-16 22:13:07,666 - mmdet - INFO - Epoch [5][1050/2217]	lr: 8.000e-03, eta: 9:34:49, time: 2.098, data_time: 0.053, memory: 20207, loss_cls: 0.2828, loss_offset: 0.6766, loss_depth: 0.8387, loss_size: 0.8009, loss_rotsin: 0.2705, loss_centerness: 0.5781, loss_velo: 0.0599, loss_dir: 0.4683, loss_attr: 0.4126, loss: 4.3884, grad_norm: 7.7495
2021-08-16 22:14:52,093 - mmdet - INFO - Epoch [5][1100/2217]	lr: 8.000e-03, eta: 9:33:08, time: 2.089, data_time: 0.050, memory: 20207, loss_cls: 0.2775, loss_offset: 0.6795, loss_depth: 0.7897, loss_size: 0.7648, loss_rotsin: 0.2670, loss_centerness: 0.5786, loss_velo: 0.0587, loss_dir: 0.4674, loss_attr: 0.3999, loss: 4.2832, grad_norm: 6.9521
2021-08-16 22:16:36,782 - mmdet - INFO - Epoch [5][1150/2217]	lr: 8.000e-03, eta: 9:31:27, time: 2.094, data_time: 0.050, memory: 20207, loss_cls: 0.2925, loss_offset: 0.6997, loss_depth: 0.8748, loss_size: 0.8369, loss_rotsin: 0.2774, loss_centerness: 0.5789, loss_velo: 0.0616, loss_dir: 0.4905, loss_attr: 0.4155, loss: 4.5278, grad_norm: 12.5717
2021-08-16 22:18:21,930 - mmdet - INFO - Epoch [5][1200/2217]	lr: 8.000e-03, eta: 9:29:46, time: 2.103, data_time: 0.051, memory: 20207, loss_cls: 0.2916, loss_offset: 0.6952, loss_depth: 0.8304, loss_size: 0.8325, loss_rotsin: 0.2783, loss_centerness: 0.5789, loss_velo: 0.0587, loss_dir: 0.4840, loss_attr: 0.4260, loss: 4.4755, grad_norm: 7.7902
2021-08-16 22:20:06,884 - mmdet - INFO - Epoch [5][1250/2217]	lr: 8.000e-03, eta: 9:28:05, time: 2.099, data_time: 0.053, memory: 20207, loss_cls: 0.2902, loss_offset: 0.6874, loss_depth: 0.8729, loss_size: 0.8195, loss_rotsin: 0.2716, loss_centerness: 0.5789, loss_velo: 0.0595, loss_dir: 0.4789, loss_attr: 0.4141, loss: 4.4729, grad_norm: 8.1725
2021-08-16 22:21:51,182 - mmdet - INFO - Epoch [5][1300/2217]	lr: 8.000e-03, eta: 9:26:23, time: 2.086, data_time: 0.049, memory: 20207, loss_cls: 0.2833, loss_offset: 0.6848, loss_depth: 0.9964, loss_size: 0.8092, loss_rotsin: 0.2715, loss_centerness: 0.5781, loss_velo: 0.0587, loss_dir: 0.4705, loss_attr: 0.3974, loss: 4.5501, grad_norm: 9.0655
2021-08-16 22:23:35,559 - mmdet - INFO - Epoch [5][1350/2217]	lr: 8.000e-03, eta: 9:24:42, time: 2.088, data_time: 0.053, memory: 20207, loss_cls: 0.2804, loss_offset: 0.6765, loss_depth: 0.8011, loss_size: 0.7731, loss_rotsin: 0.2665, loss_centerness: 0.5779, loss_velo: 0.0578, loss_dir: 0.4636, loss_attr: 0.3909, loss: 4.2879, grad_norm: 7.1365
2021-08-16 22:25:19,427 - mmdet - INFO - Epoch [5][1400/2217]	lr: 8.000e-03, eta: 9:22:59, time: 2.077, data_time: 0.052, memory: 20207, loss_cls: 0.2789, loss_offset: 0.6732, loss_depth: 0.8175, loss_size: 0.7776, loss_rotsin: 0.2631, loss_centerness: 0.5775, loss_velo: 0.0586, loss_dir: 0.4584, loss_attr: 0.3887, loss: 4.2935, grad_norm: 7.4789
2021-08-16 22:27:03,609 - mmdet - INFO - Epoch [5][1450/2217]	lr: 8.000e-03, eta: 9:21:17, time: 2.084, data_time: 0.052, memory: 20207, loss_cls: 0.2803, loss_offset: 0.6689, loss_depth: 0.7855, loss_size: 0.7593, loss_rotsin: 0.2637, loss_centerness: 0.5777, loss_velo: 0.0583, loss_dir: 0.4583, loss_attr: 0.3812, loss: 4.2333, grad_norm: 7.2766
2021-08-16 22:28:47,522 - mmdet - INFO - Epoch [5][1500/2217]	lr: 8.000e-03, eta: 9:19:34, time: 2.078, data_time: 0.052, memory: 20207, loss_cls: 0.2864, loss_offset: 0.6782, loss_depth: 0.7697, loss_size: 0.7886, loss_rotsin: 0.2666, loss_centerness: 0.5781, loss_velo: 0.0571, loss_dir: 0.4640, loss_attr: 0.4191, loss: 4.3077, grad_norm: 10.5162
2021-08-16 22:30:31,445 - mmdet - INFO - Epoch [5][1550/2217]	lr: 8.000e-03, eta: 9:17:52, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2909, loss_offset: 0.6860, loss_depth: 0.9242, loss_size: 0.8380, loss_rotsin: 0.2705, loss_centerness: 0.5785, loss_velo: 0.0607, loss_dir: 0.4673, loss_attr: 0.4172, loss: 4.5334, grad_norm: 8.8141
2021-08-16 22:32:15,999 - mmdet - INFO - Epoch [5][1600/2217]	lr: 8.000e-03, eta: 9:16:10, time: 2.091, data_time: 0.052, memory: 20207, loss_cls: 0.2871, loss_offset: 0.6831, loss_depth: 0.8248, loss_size: 0.7987, loss_rotsin: 0.2737, loss_centerness: 0.5784, loss_velo: 0.0603, loss_dir: 0.4697, loss_attr: 0.4121, loss: 4.3878, grad_norm: 7.4105
2021-08-16 22:33:59,996 - mmdet - INFO - Epoch [5][1650/2217]	lr: 8.000e-03, eta: 9:14:28, time: 2.080, data_time: 0.052, memory: 20207, loss_cls: 0.2840, loss_offset: 0.6754, loss_depth: 0.8722, loss_size: 0.7961, loss_rotsin: 0.2726, loss_centerness: 0.5780, loss_velo: 0.0558, loss_dir: 0.4655, loss_attr: 0.3879, loss: 4.3876, grad_norm: 8.0796
2021-08-16 22:35:43,265 - mmdet - INFO - Epoch [5][1700/2217]	lr: 8.000e-03, eta: 9:12:44, time: 2.065, data_time: 0.054, memory: 20207, loss_cls: 0.2763, loss_offset: 0.6662, loss_depth: 0.7641, loss_size: 0.7727, loss_rotsin: 0.2613, loss_centerness: 0.5777, loss_velo: 0.0583, loss_dir: 0.4604, loss_attr: 0.3839, loss: 4.2209, grad_norm: 6.4235
2021-08-16 22:37:26,778 - mmdet - INFO - Epoch [5][1750/2217]	lr: 8.000e-03, eta: 9:11:01, time: 2.070, data_time: 0.053, memory: 20207, loss_cls: 0.2790, loss_offset: 0.6684, loss_depth: 0.7671, loss_size: 0.7791, loss_rotsin: 0.2580, loss_centerness: 0.5775, loss_velo: 0.0564, loss_dir: 0.4619, loss_attr: 0.3889, loss: 4.2364, grad_norm: 6.7292
2021-08-16 22:39:10,046 - mmdet - INFO - Epoch [5][1800/2217]	lr: 8.000e-03, eta: 9:09:17, time: 2.065, data_time: 0.051, memory: 20207, loss_cls: 0.2759, loss_offset: 0.6671, loss_depth: 0.7691, loss_size: 0.7471, loss_rotsin: 0.2614, loss_centerness: 0.5779, loss_velo: 0.0588, loss_dir: 0.4473, loss_attr: 0.3864, loss: 4.1910, grad_norm: 6.8399
2021-08-16 22:40:53,907 - mmdet - INFO - Epoch [5][1850/2217]	lr: 8.000e-03, eta: 9:07:34, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2749, loss_offset: 0.6594, loss_depth: 0.8404, loss_size: 0.7614, loss_rotsin: 0.2606, loss_centerness: 0.5776, loss_velo: 0.0569, loss_dir: 0.4550, loss_attr: 0.3645, loss: 4.2505, grad_norm: 7.8251
2021-08-16 22:42:37,703 - mmdet - INFO - Epoch [5][1900/2217]	lr: 8.000e-03, eta: 9:05:52, time: 2.076, data_time: 0.055, memory: 20207, loss_cls: 0.2764, loss_offset: 0.6550, loss_depth: 0.7734, loss_size: 0.7472, loss_rotsin: 0.2577, loss_centerness: 0.5772, loss_velo: 0.0601, loss_dir: 0.4625, loss_attr: 0.3817, loss: 4.1914, grad_norm: 6.8388
2021-08-16 22:44:22,019 - mmdet - INFO - Epoch [5][1950/2217]	lr: 8.000e-03, eta: 9:04:09, time: 2.086, data_time: 0.051, memory: 20207, loss_cls: 0.2761, loss_offset: 0.6676, loss_depth: 0.8017, loss_size: 0.7475, loss_rotsin: 0.2658, loss_centerness: 0.5775, loss_velo: 0.0579, loss_dir: 0.4616, loss_attr: 0.3778, loss: 4.2335, grad_norm: 7.2482
2021-08-16 22:46:05,997 - mmdet - INFO - Epoch [5][2000/2217]	lr: 8.000e-03, eta: 9:02:27, time: 2.080, data_time: 0.049, memory: 20207, loss_cls: 0.2747, loss_offset: 0.6631, loss_depth: 0.9559, loss_size: 0.7629, loss_rotsin: 0.2672, loss_centerness: 0.5774, loss_velo: 0.0556, loss_dir: 0.4554, loss_attr: 0.3597, loss: 4.3718, grad_norm: 9.3790
2021-08-16 22:47:49,598 - mmdet - INFO - Epoch [5][2050/2217]	lr: 8.000e-03, eta: 9:00:44, time: 2.072, data_time: 0.052, memory: 20207, loss_cls: 0.2746, loss_offset: 0.6554, loss_depth: 0.8378, loss_size: 0.7670, loss_rotsin: 0.2513, loss_centerness: 0.5774, loss_velo: 0.0588, loss_dir: 0.4512, loss_attr: 0.3806, loss: 4.2542, grad_norm: 7.2690
2021-08-16 22:49:34,033 - mmdet - INFO - Epoch [5][2100/2217]	lr: 8.000e-03, eta: 8:59:02, time: 2.089, data_time: 0.056, memory: 20207, loss_cls: 0.2691, loss_offset: 0.6529, loss_depth: 0.7597, loss_size: 0.7446, loss_rotsin: 0.2551, loss_centerness: 0.5769, loss_velo: 0.0564, loss_dir: 0.4569, loss_attr: 0.3784, loss: 4.1499, grad_norm: 6.6326
2021-08-16 22:51:18,479 - mmdet - INFO - Epoch [5][2150/2217]	lr: 8.000e-03, eta: 8:57:20, time: 2.089, data_time: 0.054, memory: 20207, loss_cls: 0.2717, loss_offset: 0.6594, loss_depth: 0.7412, loss_size: 0.7309, loss_rotsin: 0.2590, loss_centerness: 0.5770, loss_velo: 0.0556, loss_dir: 0.4577, loss_attr: 0.3679, loss: 4.1206, grad_norm: 6.4519
2021-08-16 22:53:03,409 - mmdet - INFO - Epoch [5][2200/2217]	lr: 8.000e-03, eta: 8:55:38, time: 2.099, data_time: 0.050, memory: 20207, loss_cls: 0.2677, loss_offset: 0.6441, loss_depth: 0.8095, loss_size: 0.7421, loss_rotsin: 0.2564, loss_centerness: 0.5766, loss_velo: 0.0546, loss_dir: 0.4490, loss_attr: 0.3522, loss: 4.1521, grad_norm: 7.5933
2021-08-16 22:53:39,640 - mmdet - INFO - Saving checkpoint at 5 epochs
2021-08-16 22:55:31,946 - mmdet - INFO - Epoch [6][50/2217]	lr: 8.000e-03, eta: 8:52:42, time: 2.226, data_time: 0.194, memory: 20207, loss_cls: 0.2694, loss_offset: 0.6450, loss_depth: 0.7269, loss_size: 0.7106, loss_rotsin: 0.2513, loss_centerness: 0.5765, loss_velo: 0.0551, loss_dir: 0.4444, loss_attr: 0.3286, loss: 4.0079, grad_norm: 6.5659
2021-08-16 22:57:15,700 - mmdet - INFO - Epoch [6][100/2217]	lr: 8.000e-03, eta: 8:50:59, time: 2.075, data_time: 0.055, memory: 20207, loss_cls: 0.2652, loss_offset: 0.6412, loss_depth: 0.7245, loss_size: 0.7377, loss_rotsin: 0.2495, loss_centerness: 0.5762, loss_velo: 0.0573, loss_dir: 0.4356, loss_attr: 0.3394, loss: 4.0268, grad_norm: 7.0328
2021-08-16 22:58:59,738 - mmdet - INFO - Epoch [6][150/2217]	lr: 8.000e-03, eta: 8:49:17, time: 2.081, data_time: 0.051, memory: 20207, loss_cls: 0.2686, loss_offset: 0.6549, loss_depth: 0.7568, loss_size: 0.7145, loss_rotsin: 0.2518, loss_centerness: 0.5770, loss_velo: 0.0560, loss_dir: 0.4373, loss_attr: 0.3337, loss: 4.0506, grad_norm: 6.8929
2021-08-16 23:00:43,294 - mmdet - INFO - Epoch [6][200/2217]	lr: 8.000e-03, eta: 8:47:34, time: 2.071, data_time: 0.051, memory: 20207, loss_cls: 0.2636, loss_offset: 0.6313, loss_depth: 0.7173, loss_size: 0.6968, loss_rotsin: 0.2443, loss_centerness: 0.5755, loss_velo: 0.0588, loss_dir: 0.4266, loss_attr: 0.3332, loss: 3.9474, grad_norm: 6.6247
2021-08-16 23:02:27,047 - mmdet - INFO - Epoch [6][250/2217]	lr: 8.000e-03, eta: 8:45:51, time: 2.075, data_time: 0.053, memory: 20207, loss_cls: 0.2661, loss_offset: 0.6433, loss_depth: 0.8154, loss_size: 0.7231, loss_rotsin: 0.2496, loss_centerness: 0.5763, loss_velo: 0.0544, loss_dir: 0.4388, loss_attr: 0.3359, loss: 4.1028, grad_norm: 7.8448
2021-08-16 23:04:11,044 - mmdet - INFO - Epoch [6][300/2217]	lr: 8.000e-03, eta: 8:44:09, time: 2.080, data_time: 0.057, memory: 20207, loss_cls: 0.2661, loss_offset: 0.6423, loss_depth: 0.7316, loss_size: 0.6978, loss_rotsin: 0.2506, loss_centerness: 0.5766, loss_velo: 0.0594, loss_dir: 0.4331, loss_attr: 0.3309, loss: 3.9884, grad_norm: 7.1214
2021-08-16 23:05:54,463 - mmdet - INFO - Epoch [6][350/2217]	lr: 8.000e-03, eta: 8:42:26, time: 2.068, data_time: 0.052, memory: 20207, loss_cls: 0.2654, loss_offset: 0.6420, loss_depth: 0.7376, loss_size: 0.7196, loss_rotsin: 0.2602, loss_centerness: 0.5767, loss_velo: 0.0571, loss_dir: 0.4467, loss_attr: 0.3415, loss: 4.0469, grad_norm: 7.2369
2021-08-16 23:07:37,973 - mmdet - INFO - Epoch [6][400/2217]	lr: 8.000e-03, eta: 8:40:42, time: 2.070, data_time: 0.050, memory: 20207, loss_cls: 0.2669, loss_offset: 0.6434, loss_depth: 0.8478, loss_size: 0.7198, loss_rotsin: 0.2522, loss_centerness: 0.5766, loss_velo: 0.0553, loss_dir: 0.4375, loss_attr: 0.3454, loss: 4.1449, grad_norm: 7.9521
2021-08-16 23:09:22,241 - mmdet - INFO - Epoch [6][450/2217]	lr: 8.000e-03, eta: 8:39:00, time: 2.085, data_time: 0.054, memory: 20207, loss_cls: 0.2655, loss_offset: 0.6426, loss_depth: 0.7943, loss_size: 0.7143, loss_rotsin: 0.2485, loss_centerness: 0.5765, loss_velo: 0.0563, loss_dir: 0.4410, loss_attr: 0.3373, loss: 4.0762, grad_norm: 7.0116
2021-08-16 23:11:06,716 - mmdet - INFO - Epoch [6][500/2217]	lr: 8.000e-03, eta: 8:37:19, time: 2.089, data_time: 0.052, memory: 20207, loss_cls: 0.2680, loss_offset: 0.6354, loss_depth: 0.8151, loss_size: 0.7217, loss_rotsin: 0.2489, loss_centerness: 0.5759, loss_velo: 0.0559, loss_dir: 0.4344, loss_attr: 0.3391, loss: 4.0943, grad_norm: 7.8136
2021-08-16 23:12:51,200 - mmdet - INFO - Epoch [6][550/2217]	lr: 8.000e-03, eta: 8:35:37, time: 2.090, data_time: 0.053, memory: 20207, loss_cls: 0.2649, loss_offset: 0.6434, loss_depth: 0.8685, loss_size: 0.7195, loss_rotsin: 0.2481, loss_centerness: 0.5766, loss_velo: 0.0552, loss_dir: 0.4378, loss_attr: 0.3449, loss: 4.1589, grad_norm: 8.3738
2021-08-16 23:14:35,321 - mmdet - INFO - Epoch [6][600/2217]	lr: 8.000e-03, eta: 8:33:54, time: 2.082, data_time: 0.055, memory: 20207, loss_cls: 0.2618, loss_offset: 0.6293, loss_depth: 0.8641, loss_size: 0.7091, loss_rotsin: 0.2409, loss_centerness: 0.5757, loss_velo: 0.0539, loss_dir: 0.4312, loss_attr: 0.3274, loss: 4.0933, grad_norm: 8.5864
2021-08-16 23:16:19,587 - mmdet - INFO - Epoch [6][650/2217]	lr: 8.000e-03, eta: 8:32:12, time: 2.085, data_time: 0.052, memory: 20207, loss_cls: 0.2657, loss_offset: 0.6479, loss_depth: 0.7452, loss_size: 0.6965, loss_rotsin: 0.2511, loss_centerness: 0.5768, loss_velo: 0.0559, loss_dir: 0.4453, loss_attr: 0.3408, loss: 4.0253, grad_norm: 7.1432
2021-08-16 23:18:03,279 - mmdet - INFO - Epoch [6][700/2217]	lr: 8.000e-03, eta: 8:30:29, time: 2.074, data_time: 0.053, memory: 20207, loss_cls: 0.2635, loss_offset: 0.6372, loss_depth: 0.9019, loss_size: 0.6964, loss_rotsin: 0.2517, loss_centerness: 0.5764, loss_velo: 0.0554, loss_dir: 0.4319, loss_attr: 0.3226, loss: 4.1368, grad_norm: 9.2041
2021-08-16 23:19:46,918 - mmdet - INFO - Epoch [6][750/2217]	lr: 8.000e-03, eta: 8:28:46, time: 2.073, data_time: 0.050, memory: 20207, loss_cls: 0.2654, loss_offset: 0.6427, loss_depth: 0.7914, loss_size: 0.7281, loss_rotsin: 0.2463, loss_centerness: 0.5767, loss_velo: 0.0581, loss_dir: 0.4426, loss_attr: 0.3404, loss: 4.0918, grad_norm: 6.9720
2021-08-16 23:21:30,480 - mmdet - INFO - Epoch [6][800/2217]	lr: 8.000e-03, eta: 8:27:03, time: 2.071, data_time: 0.051, memory: 20207, loss_cls: 0.2661, loss_offset: 0.6454, loss_depth: 0.7410, loss_size: 0.7138, loss_rotsin: 0.2490, loss_centerness: 0.5769, loss_velo: 0.0557, loss_dir: 0.4439, loss_attr: 0.3338, loss: 4.0256, grad_norm: 6.9750
2021-08-16 23:23:14,220 - mmdet - INFO - Epoch [6][850/2217]	lr: 8.000e-03, eta: 8:25:20, time: 2.075, data_time: 0.054, memory: 20207, loss_cls: 0.2654, loss_offset: 0.6410, loss_depth: 0.7077, loss_size: 0.7243, loss_rotsin: 0.2520, loss_centerness: 0.5768, loss_velo: 0.0567, loss_dir: 0.4440, loss_attr: 0.3400, loss: 4.0081, grad_norm: 6.7315
2021-08-16 23:24:57,524 - mmdet - INFO - Epoch [6][900/2217]	lr: 8.000e-03, eta: 8:23:37, time: 2.066, data_time: 0.053, memory: 20207, loss_cls: 0.2680, loss_offset: 0.6442, loss_depth: 0.7053, loss_size: 0.7088, loss_rotsin: 0.2518, loss_centerness: 0.5765, loss_velo: 0.0577, loss_dir: 0.4315, loss_attr: 0.3469, loss: 3.9906, grad_norm: 6.5969
2021-08-16 23:26:40,587 - mmdet - INFO - Epoch [6][950/2217]	lr: 8.000e-03, eta: 8:21:53, time: 2.061, data_time: 0.051, memory: 20207, loss_cls: 0.2657, loss_offset: 0.6436, loss_depth: 0.7165, loss_size: 0.6967, loss_rotsin: 0.2525, loss_centerness: 0.5763, loss_velo: 0.0564, loss_dir: 0.4371, loss_attr: 0.3354, loss: 3.9804, grad_norm: 6.9250
2021-08-16 23:28:24,578 - mmdet - INFO - Epoch [6][1000/2217]	lr: 8.000e-03, eta: 8:20:11, time: 2.080, data_time: 0.052, memory: 20207, loss_cls: 0.2661, loss_offset: 0.6472, loss_depth: 0.7622, loss_size: 0.7175, loss_rotsin: 0.2478, loss_centerness: 0.5770, loss_velo: 0.0549, loss_dir: 0.4344, loss_attr: 0.3420, loss: 4.0491, grad_norm: 7.6054
2021-08-16 23:30:08,012 - mmdet - INFO - Epoch [6][1050/2217]	lr: 8.000e-03, eta: 8:18:27, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2653, loss_offset: 0.6393, loss_depth: 0.8132, loss_size: 0.7355, loss_rotsin: 0.2511, loss_centerness: 0.5767, loss_velo: 0.0575, loss_dir: 0.4341, loss_attr: 0.3488, loss: 4.1215, grad_norm: 8.1084
2021-08-16 23:31:51,438 - mmdet - INFO - Epoch [6][1100/2217]	lr: 8.000e-03, eta: 8:16:44, time: 2.069, data_time: 0.054, memory: 20207, loss_cls: 0.2668, loss_offset: 0.6392, loss_depth: 0.9195, loss_size: 0.6985, loss_rotsin: 0.2484, loss_centerness: 0.5762, loss_velo: 0.0579, loss_dir: 0.4252, loss_attr: 0.3478, loss: 4.1796, grad_norm: 9.9362
2021-08-16 23:33:34,907 - mmdet - INFO - Epoch [6][1150/2217]	lr: 8.000e-03, eta: 8:15:01, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2612, loss_offset: 0.6350, loss_depth: 0.7143, loss_size: 0.6815, loss_rotsin: 0.2512, loss_centerness: 0.5763, loss_velo: 0.0552, loss_dir: 0.4381, loss_attr: 0.3306, loss: 3.9434, grad_norm: 6.6455
2021-08-16 23:35:18,106 - mmdet - INFO - Epoch [6][1200/2217]	lr: 8.000e-03, eta: 8:13:17, time: 2.064, data_time: 0.049, memory: 20207, loss_cls: 0.2640, loss_offset: 0.6326, loss_depth: 0.7183, loss_size: 0.6975, loss_rotsin: 0.2443, loss_centerness: 0.5759, loss_velo: 0.0565, loss_dir: 0.4377, loss_attr: 0.3373, loss: 3.9641, grad_norm: 7.3544
2021-08-16 23:37:01,554 - mmdet - INFO - Epoch [6][1250/2217]	lr: 8.000e-03, eta: 8:11:34, time: 2.069, data_time: 0.051, memory: 20207, loss_cls: 0.2613, loss_offset: 0.6320, loss_depth: 0.7373, loss_size: 0.6965, loss_rotsin: 0.2475, loss_centerness: 0.5761, loss_velo: 0.0552, loss_dir: 0.4370, loss_attr: 0.3210, loss: 3.9638, grad_norm: 7.4064
2021-08-16 23:38:45,466 - mmdet - INFO - Epoch [6][1300/2217]	lr: 8.000e-03, eta: 8:09:51, time: 2.078, data_time: 0.050, memory: 20207, loss_cls: 0.2664, loss_offset: 0.6361, loss_depth: 0.7012, loss_size: 0.7283, loss_rotsin: 0.2445, loss_centerness: 0.5760, loss_velo: 0.0542, loss_dir: 0.4328, loss_attr: 0.3387, loss: 3.9781, grad_norm: 7.4806
2021-08-16 23:40:29,506 - mmdet - INFO - Epoch [6][1350/2217]	lr: 8.000e-03, eta: 8:08:09, time: 2.081, data_time: 0.051, memory: 20207, loss_cls: 0.2706, loss_offset: 0.6527, loss_depth: 0.7944, loss_size: 0.7401, loss_rotsin: 0.2510, loss_centerness: 0.5770, loss_velo: 0.0565, loss_dir: 0.4397, loss_attr: 0.3492, loss: 4.1313, grad_norm: 9.5493
2021-08-16 23:42:13,542 - mmdet - INFO - Epoch [6][1400/2217]	lr: 8.000e-03, eta: 8:06:26, time: 2.081, data_time: 0.051, memory: 20207, loss_cls: 0.2815, loss_offset: 0.6703, loss_depth: 0.7952, loss_size: 0.7680, loss_rotsin: 0.2539, loss_centerness: 0.5776, loss_velo: 0.0596, loss_dir: 0.4442, loss_attr: 0.3805, loss: 4.2310, grad_norm: 9.8253
2021-08-16 23:43:57,301 - mmdet - INFO - Epoch [6][1450/2217]	lr: 8.000e-03, eta: 8:04:43, time: 2.075, data_time: 0.054, memory: 20207, loss_cls: 0.2728, loss_offset: 0.6538, loss_depth: 0.7953, loss_size: 0.7563, loss_rotsin: 0.2544, loss_centerness: 0.5776, loss_velo: 0.0574, loss_dir: 0.4434, loss_attr: 0.3598, loss: 4.1707, grad_norm: 8.3359
2021-08-16 23:45:41,360 - mmdet - INFO - Epoch [6][1500/2217]	lr: 8.000e-03, eta: 8:03:01, time: 2.081, data_time: 0.049, memory: 20207, loss_cls: 0.2733, loss_offset: 0.6657, loss_depth: 0.8588, loss_size: 0.7385, loss_rotsin: 0.2585, loss_centerness: 0.5776, loss_velo: 0.0570, loss_dir: 0.4488, loss_attr: 0.3458, loss: 4.2241, grad_norm: 9.7562
2021-08-16 23:47:25,615 - mmdet - INFO - Epoch [6][1550/2217]	lr: 8.000e-03, eta: 8:01:18, time: 2.085, data_time: 0.052, memory: 20207, loss_cls: 0.2787, loss_offset: 0.6686, loss_depth: 0.7802, loss_size: 0.7615, loss_rotsin: 0.2529, loss_centerness: 0.5776, loss_velo: 0.0573, loss_dir: 0.4499, loss_attr: 0.3807, loss: 4.2072, grad_norm: 8.3237
2021-08-16 23:49:09,293 - mmdet - INFO - Epoch [6][1600/2217]	lr: 8.000e-03, eta: 7:59:35, time: 2.074, data_time: 0.050, memory: 20207, loss_cls: 0.2749, loss_offset: 0.6602, loss_depth: 0.8181, loss_size: 0.7689, loss_rotsin: 0.2531, loss_centerness: 0.5773, loss_velo: 0.0564, loss_dir: 0.4410, loss_attr: 0.3527, loss: 4.2026, grad_norm: 8.7601
2021-08-16 23:50:53,231 - mmdet - INFO - Epoch [6][1650/2217]	lr: 8.000e-03, eta: 7:57:53, time: 2.079, data_time: 0.054, memory: 20207, loss_cls: 0.2732, loss_offset: 0.6519, loss_depth: 0.7695, loss_size: 0.7439, loss_rotsin: 0.2450, loss_centerness: 0.5766, loss_velo: 0.0579, loss_dir: 0.4466, loss_attr: 0.3655, loss: 4.1300, grad_norm: 7.6165
2021-08-16 23:52:37,291 - mmdet - INFO - Epoch [6][1700/2217]	lr: 8.000e-03, eta: 7:56:10, time: 2.081, data_time: 0.054, memory: 20207, loss_cls: 0.2703, loss_offset: 0.6542, loss_depth: 0.7389, loss_size: 0.7214, loss_rotsin: 0.2511, loss_centerness: 0.5769, loss_velo: 0.0559, loss_dir: 0.4387, loss_attr: 0.3645, loss: 4.0719, grad_norm: 7.5739
2021-08-16 23:54:21,440 - mmdet - INFO - Epoch [6][1750/2217]	lr: 8.000e-03, eta: 7:54:27, time: 2.083, data_time: 0.051, memory: 20207, loss_cls: 0.2695, loss_offset: 0.6531, loss_depth: 0.7252, loss_size: 0.7452, loss_rotsin: 0.2516, loss_centerness: 0.5769, loss_velo: 0.0577, loss_dir: 0.4444, loss_attr: 0.3540, loss: 4.0775, grad_norm: 7.5435
2021-08-16 23:56:06,132 - mmdet - INFO - Epoch [6][1800/2217]	lr: 8.000e-03, eta: 7:52:45, time: 2.094, data_time: 0.050, memory: 20207, loss_cls: 0.2651, loss_offset: 0.6436, loss_depth: 0.9177, loss_size: 0.7136, loss_rotsin: 0.2491, loss_centerness: 0.5764, loss_velo: 0.0550, loss_dir: 0.4404, loss_attr: 0.3360, loss: 4.1969, grad_norm: 9.2840
2021-08-16 23:57:50,308 - mmdet - INFO - Epoch [6][1850/2217]	lr: 8.000e-03, eta: 7:51:03, time: 2.084, data_time: 0.051, memory: 20207, loss_cls: 0.2716, loss_offset: 0.6530, loss_depth: 0.8074, loss_size: 0.7419, loss_rotsin: 0.2484, loss_centerness: 0.5768, loss_velo: 0.0548, loss_dir: 0.4372, loss_attr: 0.3352, loss: 4.1264, grad_norm: 8.2715
2021-08-16 23:59:34,128 - mmdet - INFO - Epoch [6][1900/2217]	lr: 8.000e-03, eta: 7:49:20, time: 2.076, data_time: 0.051, memory: 20207, loss_cls: 0.2665, loss_offset: 0.6442, loss_depth: 0.7928, loss_size: 0.7002, loss_rotsin: 0.2476, loss_centerness: 0.5762, loss_velo: 0.0547, loss_dir: 0.4393, loss_attr: 0.3294, loss: 4.0508, grad_norm: 7.8353
2021-08-17 00:01:18,405 - mmdet - INFO - Epoch [6][1950/2217]	lr: 8.000e-03, eta: 7:47:38, time: 2.085, data_time: 0.053, memory: 20207, loss_cls: 0.2663, loss_offset: 0.6369, loss_depth: 0.7246, loss_size: 0.7165, loss_rotsin: 0.2536, loss_centerness: 0.5766, loss_velo: 0.0585, loss_dir: 0.4334, loss_attr: 0.3496, loss: 4.0160, grad_norm: 6.7916
2021-08-17 00:03:02,289 - mmdet - INFO - Epoch [6][2000/2217]	lr: 8.000e-03, eta: 7:45:55, time: 2.078, data_time: 0.049, memory: 20207, loss_cls: 0.2674, loss_offset: 0.6479, loss_depth: 0.7784, loss_size: 0.7240, loss_rotsin: 0.2496, loss_centerness: 0.5768, loss_velo: 0.0560, loss_dir: 0.4427, loss_attr: 0.3452, loss: 4.0880, grad_norm: 7.7939
2021-08-17 00:04:46,144 - mmdet - INFO - Epoch [6][2050/2217]	lr: 8.000e-03, eta: 7:44:12, time: 2.077, data_time: 0.050, memory: 20207, loss_cls: 0.2663, loss_offset: 0.6366, loss_depth: 0.8019, loss_size: 0.7170, loss_rotsin: 0.2453, loss_centerness: 0.5760, loss_velo: 0.0568, loss_dir: 0.4301, loss_attr: 0.3383, loss: 4.0683, grad_norm: 8.0873
2021-08-17 00:06:30,524 - mmdet - INFO - Epoch [6][2100/2217]	lr: 8.000e-03, eta: 7:42:29, time: 2.088, data_time: 0.052, memory: 20207, loss_cls: 0.2651, loss_offset: 0.6379, loss_depth: 0.7475, loss_size: 0.7122, loss_rotsin: 0.2452, loss_centerness: 0.5762, loss_velo: 0.0569, loss_dir: 0.4275, loss_attr: 0.3352, loss: 4.0038, grad_norm: 7.5551
2021-08-17 00:08:15,170 - mmdet - INFO - Epoch [6][2150/2217]	lr: 8.000e-03, eta: 7:40:47, time: 2.093, data_time: 0.050, memory: 20207, loss_cls: 0.2620, loss_offset: 0.6348, loss_depth: 0.7992, loss_size: 0.7176, loss_rotsin: 0.2423, loss_centerness: 0.5763, loss_velo: 0.0566, loss_dir: 0.4303, loss_attr: 0.3282, loss: 4.0473, grad_norm: 7.9021
2021-08-17 00:09:59,764 - mmdet - INFO - Epoch [6][2200/2217]	lr: 8.000e-03, eta: 7:39:05, time: 2.092, data_time: 0.051, memory: 20207, loss_cls: 0.2642, loss_offset: 0.6318, loss_depth: 0.7286, loss_size: 0.7019, loss_rotsin: 0.2417, loss_centerness: 0.5758, loss_velo: 0.0534, loss_dir: 0.4251, loss_attr: 0.3248, loss: 3.9473, grad_norm: 6.9175
2021-08-17 00:10:35,602 - mmdet - INFO - Saving checkpoint at 6 epochs
2021-08-17 00:12:28,296 - mmdet - INFO - Epoch [7][50/2217]	lr: 8.000e-03, eta: 7:36:20, time: 2.232, data_time: 0.206, memory: 20207, loss_cls: 0.2593, loss_offset: 0.6363, loss_depth: 0.7378, loss_size: 0.6742, loss_rotsin: 0.2386, loss_centerness: 0.5760, loss_velo: 0.0534, loss_dir: 0.4263, loss_attr: 0.3018, loss: 3.9037, grad_norm: 7.6603
2021-08-17 00:14:12,124 - mmdet - INFO - Epoch [7][100/2217]	lr: 8.000e-03, eta: 7:34:37, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2561, loss_offset: 0.6299, loss_depth: 0.7265, loss_size: 0.6769, loss_rotsin: 0.2362, loss_centerness: 0.5762, loss_velo: 0.0538, loss_dir: 0.4174, loss_attr: 0.2986, loss: 3.8715, grad_norm: 7.5633
2021-08-17 00:15:55,959 - mmdet - INFO - Epoch [7][150/2217]	lr: 8.000e-03, eta: 7:32:54, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2604, loss_offset: 0.6269, loss_depth: 0.6863, loss_size: 0.6813, loss_rotsin: 0.2381, loss_centerness: 0.5757, loss_velo: 0.0570, loss_dir: 0.4195, loss_attr: 0.3231, loss: 3.8684, grad_norm: 6.8550
2021-08-17 00:17:39,894 - mmdet - INFO - Epoch [7][200/2217]	lr: 8.000e-03, eta: 7:31:11, time: 2.079, data_time: 0.051, memory: 20207, loss_cls: 0.2554, loss_offset: 0.6229, loss_depth: 0.8650, loss_size: 0.6581, loss_rotsin: 0.2399, loss_centerness: 0.5755, loss_velo: 0.0537, loss_dir: 0.4181, loss_attr: 0.2835, loss: 3.9722, grad_norm: 8.7892
2021-08-17 00:19:24,615 - mmdet - INFO - Epoch [7][250/2217]	lr: 8.000e-03, eta: 7:29:29, time: 2.094, data_time: 0.053, memory: 20207, loss_cls: 0.2550, loss_offset: 0.6196, loss_depth: 0.7750, loss_size: 0.6589, loss_rotsin: 0.2348, loss_centerness: 0.5752, loss_velo: 0.0578, loss_dir: 0.4162, loss_attr: 0.3039, loss: 3.8964, grad_norm: 8.0507
2021-08-17 00:21:08,790 - mmdet - INFO - Epoch [7][300/2217]	lr: 8.000e-03, eta: 7:27:47, time: 2.083, data_time: 0.052, memory: 20207, loss_cls: 0.2595, loss_offset: 0.6253, loss_depth: 0.7250, loss_size: 0.6764, loss_rotsin: 0.2375, loss_centerness: 0.5757, loss_velo: 0.0533, loss_dir: 0.4330, loss_attr: 0.3050, loss: 3.8908, grad_norm: 7.0812
2021-08-17 00:22:52,856 - mmdet - INFO - Epoch [7][350/2217]	lr: 8.000e-03, eta: 7:26:04, time: 2.081, data_time: 0.056, memory: 20207, loss_cls: 0.2554, loss_offset: 0.6229, loss_depth: 0.6711, loss_size: 0.6733, loss_rotsin: 0.2404, loss_centerness: 0.5755, loss_velo: 0.0552, loss_dir: 0.4181, loss_attr: 0.2778, loss: 3.7898, grad_norm: 6.7679
2021-08-17 00:24:36,142 - mmdet - INFO - Epoch [7][400/2217]	lr: 8.000e-03, eta: 7:24:21, time: 2.066, data_time: 0.049, memory: 20207, loss_cls: 0.2540, loss_offset: 0.6248, loss_depth: 0.6976, loss_size: 0.6420, loss_rotsin: 0.2379, loss_centerness: 0.5758, loss_velo: 0.0579, loss_dir: 0.4153, loss_attr: 0.2934, loss: 3.7988, grad_norm: 7.2480
2021-08-17 00:26:19,706 - mmdet - INFO - Epoch [7][450/2217]	lr: 8.000e-03, eta: 7:22:38, time: 2.071, data_time: 0.052, memory: 20207, loss_cls: 0.2557, loss_offset: 0.6210, loss_depth: 0.8129, loss_size: 0.6797, loss_rotsin: 0.2433, loss_centerness: 0.5756, loss_velo: 0.0550, loss_dir: 0.4086, loss_attr: 0.2964, loss: 3.9481, grad_norm: 7.9149
2021-08-17 00:28:03,314 - mmdet - INFO - Epoch [7][500/2217]	lr: 8.000e-03, eta: 7:20:55, time: 2.072, data_time: 0.052, memory: 20207, loss_cls: 0.2550, loss_offset: 0.6202, loss_depth: 0.7211, loss_size: 0.6800, loss_rotsin: 0.2345, loss_centerness: 0.5753, loss_velo: 0.0562, loss_dir: 0.4039, loss_attr: 0.2975, loss: 3.8437, grad_norm: 7.0395
2021-08-17 00:29:47,113 - mmdet - INFO - Epoch [7][550/2217]	lr: 8.000e-03, eta: 7:19:12, time: 2.076, data_time: 0.050, memory: 20207, loss_cls: 0.2582, loss_offset: 0.6219, loss_depth: 0.7313, loss_size: 0.6672, loss_rotsin: 0.2357, loss_centerness: 0.5755, loss_velo: 0.0570, loss_dir: 0.4177, loss_attr: 0.2985, loss: 3.8631, grad_norm: 7.6116
2021-08-17 00:31:31,105 - mmdet - INFO - Epoch [7][600/2217]	lr: 8.000e-03, eta: 7:17:29, time: 2.080, data_time: 0.049, memory: 20207, loss_cls: 0.2573, loss_offset: 0.6183, loss_depth: 0.7807, loss_size: 0.6674, loss_rotsin: 0.2429, loss_centerness: 0.5749, loss_velo: 0.0551, loss_dir: 0.4170, loss_attr: 0.3054, loss: 3.9189, grad_norm: 7.8748
2021-08-17 00:33:15,141 - mmdet - INFO - Epoch [7][650/2217]	lr: 8.000e-03, eta: 7:15:47, time: 2.081, data_time: 0.050, memory: 20207, loss_cls: 0.2567, loss_offset: 0.6213, loss_depth: 0.6860, loss_size: 0.6494, loss_rotsin: 0.2371, loss_centerness: 0.5753, loss_velo: 0.0541, loss_dir: 0.4158, loss_attr: 0.3158, loss: 3.8113, grad_norm: 6.7359
2021-08-17 00:34:58,918 - mmdet - INFO - Epoch [7][700/2217]	lr: 8.000e-03, eta: 7:14:04, time: 2.075, data_time: 0.051, memory: 20207, loss_cls: 0.2573, loss_offset: 0.6246, loss_depth: 0.7785, loss_size: 0.6792, loss_rotsin: 0.2377, loss_centerness: 0.5755, loss_velo: 0.0583, loss_dir: 0.4107, loss_attr: 0.3107, loss: 3.9324, grad_norm: 8.3147
2021-08-17 00:36:42,769 - mmdet - INFO - Epoch [7][750/2217]	lr: 8.000e-03, eta: 7:12:21, time: 2.077, data_time: 0.050, memory: 20207, loss_cls: 0.2574, loss_offset: 0.6188, loss_depth: 0.7015, loss_size: 0.6644, loss_rotsin: 0.2366, loss_centerness: 0.5749, loss_velo: 0.0550, loss_dir: 0.4126, loss_attr: 0.2906, loss: 3.8117, grad_norm: 7.3662
2021-08-17 00:38:26,629 - mmdet - INFO - Epoch [7][800/2217]	lr: 8.000e-03, eta: 7:10:38, time: 2.077, data_time: 0.051, memory: 20207, loss_cls: 0.2577, loss_offset: 0.6220, loss_depth: 0.6731, loss_size: 0.6771, loss_rotsin: 0.2336, loss_centerness: 0.5759, loss_velo: 0.0537, loss_dir: 0.4091, loss_attr: 0.2984, loss: 3.8006, grad_norm: 6.6097
2021-08-17 00:40:10,527 - mmdet - INFO - Epoch [7][850/2217]	lr: 8.000e-03, eta: 7:08:55, time: 2.078, data_time: 0.056, memory: 20207, loss_cls: 0.2527, loss_offset: 0.6151, loss_depth: 0.6912, loss_size: 0.6458, loss_rotsin: 0.2323, loss_centerness: 0.5752, loss_velo: 0.0541, loss_dir: 0.4046, loss_attr: 0.2955, loss: 3.7663, grad_norm: 7.2807
2021-08-17 00:41:54,775 - mmdet - INFO - Epoch [7][900/2217]	lr: 8.000e-03, eta: 7:07:12, time: 2.085, data_time: 0.053, memory: 20207, loss_cls: 0.2532, loss_offset: 0.6124, loss_depth: 0.6863, loss_size: 0.6441, loss_rotsin: 0.2300, loss_centerness: 0.5752, loss_velo: 0.0536, loss_dir: 0.4104, loss_attr: 0.2963, loss: 3.7616, grad_norm: 6.9854
2021-08-17 00:43:38,652 - mmdet - INFO - Epoch [7][950/2217]	lr: 8.000e-03, eta: 7:05:30, time: 2.077, data_time: 0.052, memory: 20207, loss_cls: 0.2549, loss_offset: 0.6202, loss_depth: 0.7071, loss_size: 0.6450, loss_rotsin: 0.2353, loss_centerness: 0.5754, loss_velo: 0.0561, loss_dir: 0.4143, loss_attr: 0.2991, loss: 3.8076, grad_norm: 7.2255
2021-08-17 00:45:22,832 - mmdet - INFO - Epoch [7][1000/2217]	lr: 8.000e-03, eta: 7:03:47, time: 2.084, data_time: 0.052, memory: 20207, loss_cls: 0.2533, loss_offset: 0.6160, loss_depth: 0.7655, loss_size: 0.6623, loss_rotsin: 0.2274, loss_centerness: 0.5751, loss_velo: 0.0539, loss_dir: 0.4098, loss_attr: 0.3055, loss: 3.8688, grad_norm: 7.5583
2021-08-17 00:47:07,393 - mmdet - INFO - Epoch [7][1050/2217]	lr: 8.000e-03, eta: 7:02:05, time: 2.091, data_time: 0.051, memory: 20207, loss_cls: 0.2537, loss_offset: 0.6156, loss_depth: 0.7680, loss_size: 0.6649, loss_rotsin: 0.2348, loss_centerness: 0.5750, loss_velo: 0.0538, loss_dir: 0.4170, loss_attr: 0.2924, loss: 3.8751, grad_norm: 7.9764
2021-08-17 00:48:51,626 - mmdet - INFO - Epoch [7][1100/2217]	lr: 8.000e-03, eta: 7:00:22, time: 2.085, data_time: 0.053, memory: 20207, loss_cls: 0.2534, loss_offset: 0.6179, loss_depth: 0.7468, loss_size: 0.6605, loss_rotsin: 0.2371, loss_centerness: 0.5755, loss_velo: 0.0523, loss_dir: 0.4138, loss_attr: 0.2925, loss: 3.8499, grad_norm: 7.8920
2021-08-17 00:50:35,196 - mmdet - INFO - Epoch [7][1150/2217]	lr: 8.000e-03, eta: 6:58:39, time: 2.071, data_time: 0.053, memory: 20207, loss_cls: 0.2549, loss_offset: 0.6165, loss_depth: 0.7176, loss_size: 0.6531, loss_rotsin: 0.2298, loss_centerness: 0.5752, loss_velo: 0.0564, loss_dir: 0.4103, loss_attr: 0.2941, loss: 3.8080, grad_norm: 8.1430
2021-08-17 00:52:19,063 - mmdet - INFO - Epoch [7][1200/2217]	lr: 8.000e-03, eta: 6:56:56, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2590, loss_offset: 0.6232, loss_depth: 0.7563, loss_size: 0.6734, loss_rotsin: 0.2403, loss_centerness: 0.5754, loss_velo: 0.0570, loss_dir: 0.4161, loss_attr: 0.3075, loss: 3.9083, grad_norm: 8.2384
2021-08-17 00:54:03,229 - mmdet - INFO - Epoch [7][1250/2217]	lr: 8.000e-03, eta: 6:55:13, time: 2.083, data_time: 0.052, memory: 20207, loss_cls: 0.2585, loss_offset: 0.6260, loss_depth: 0.7168, loss_size: 0.6811, loss_rotsin: 0.2347, loss_centerness: 0.5756, loss_velo: 0.0550, loss_dir: 0.4177, loss_attr: 0.3050, loss: 3.8705, grad_norm: 7.3037
2021-08-17 00:55:47,114 - mmdet - INFO - Epoch [7][1300/2217]	lr: 8.000e-03, eta: 6:53:30, time: 2.078, data_time: 0.052, memory: 20207, loss_cls: 0.2576, loss_offset: 0.6274, loss_depth: 0.7727, loss_size: 0.7043, loss_rotsin: 0.2383, loss_centerness: 0.5757, loss_velo: 0.0541, loss_dir: 0.4160, loss_attr: 0.2987, loss: 3.9448, grad_norm: 8.5352
2021-08-17 00:57:31,016 - mmdet - INFO - Epoch [7][1350/2217]	lr: 8.000e-03, eta: 6:51:47, time: 2.078, data_time: 0.052, memory: 20207, loss_cls: 0.2555, loss_offset: 0.6198, loss_depth: 0.7744, loss_size: 0.6707, loss_rotsin: 0.2302, loss_centerness: 0.5752, loss_velo: 0.0551, loss_dir: 0.4114, loss_attr: 0.2948, loss: 3.8871, grad_norm: 8.0456
2021-08-17 00:59:15,162 - mmdet - INFO - Epoch [7][1400/2217]	lr: 8.000e-03, eta: 6:50:05, time: 2.083, data_time: 0.053, memory: 20207, loss_cls: 0.2547, loss_offset: 0.6170, loss_depth: 0.8861, loss_size: 0.6707, loss_rotsin: 0.2335, loss_centerness: 0.5755, loss_velo: 0.0565, loss_dir: 0.4152, loss_attr: 0.2942, loss: 4.0033, grad_norm: 9.4176
2021-08-17 01:00:59,987 - mmdet - INFO - Epoch [7][1450/2217]	lr: 8.000e-03, eta: 6:48:22, time: 2.096, data_time: 0.055, memory: 20207, loss_cls: 0.2548, loss_offset: 0.6129, loss_depth: 0.8073, loss_size: 0.6797, loss_rotsin: 0.2401, loss_centerness: 0.5751, loss_velo: 0.0559, loss_dir: 0.4095, loss_attr: 0.3027, loss: 3.9380, grad_norm: 8.0253
2021-08-17 01:02:43,857 - mmdet - INFO - Epoch [7][1500/2217]	lr: 8.000e-03, eta: 6:46:40, time: 2.077, data_time: 0.052, memory: 20207, loss_cls: 0.2534, loss_offset: 0.6190, loss_depth: 0.7129, loss_size: 0.6765, loss_rotsin: 0.2376, loss_centerness: 0.5758, loss_velo: 0.0568, loss_dir: 0.4157, loss_attr: 0.3049, loss: 3.8526, grad_norm: 7.0297
2021-08-17 01:04:28,322 - mmdet - INFO - Epoch [7][1550/2217]	lr: 8.000e-03, eta: 6:44:57, time: 2.089, data_time: 0.053, memory: 20207, loss_cls: 0.2550, loss_offset: 0.6239, loss_depth: 0.7211, loss_size: 0.6771, loss_rotsin: 0.2391, loss_centerness: 0.5759, loss_velo: 0.0548, loss_dir: 0.4167, loss_attr: 0.2923, loss: 3.8559, grad_norm: 7.8943
2021-08-17 01:06:11,694 - mmdet - INFO - Epoch [7][1600/2217]	lr: 8.000e-03, eta: 6:43:14, time: 2.067, data_time: 0.053, memory: 20207, loss_cls: 0.2583, loss_offset: 0.6229, loss_depth: 0.8680, loss_size: 0.6785, loss_rotsin: 0.2418, loss_centerness: 0.5757, loss_velo: 0.0562, loss_dir: 0.4200, loss_attr: 0.2997, loss: 4.0211, grad_norm: 9.0927
2021-08-17 01:07:54,765 - mmdet - INFO - Epoch [7][1650/2217]	lr: 8.000e-03, eta: 6:41:30, time: 2.061, data_time: 0.056, memory: 20207, loss_cls: 0.2536, loss_offset: 0.6190, loss_depth: 0.6911, loss_size: 0.6683, loss_rotsin: 0.2321, loss_centerness: 0.5751, loss_velo: 0.0550, loss_dir: 0.4076, loss_attr: 0.2845, loss: 3.7863, grad_norm: 6.9637
2021-08-17 01:09:38,362 - mmdet - INFO - Epoch [7][1700/2217]	lr: 8.000e-03, eta: 6:39:47, time: 2.072, data_time: 0.058, memory: 20207, loss_cls: 0.2535, loss_offset: 0.6154, loss_depth: 0.7985, loss_size: 0.6461, loss_rotsin: 0.2347, loss_centerness: 0.5752, loss_velo: 0.0546, loss_dir: 0.4109, loss_attr: 0.2885, loss: 3.8774, grad_norm: 8.3962
2021-08-17 01:11:22,179 - mmdet - INFO - Epoch [7][1750/2217]	lr: 8.000e-03, eta: 6:38:04, time: 2.076, data_time: 0.055, memory: 20207, loss_cls: 0.2573, loss_offset: 0.6134, loss_depth: 0.7000, loss_size: 0.6828, loss_rotsin: 0.2309, loss_centerness: 0.5751, loss_velo: 0.0563, loss_dir: 0.4060, loss_attr: 0.2893, loss: 3.8111, grad_norm: 7.1611
2021-08-17 01:13:06,767 - mmdet - INFO - Epoch [7][1800/2217]	lr: 8.000e-03, eta: 6:36:21, time: 2.092, data_time: 0.055, memory: 20207, loss_cls: 0.2546, loss_offset: 0.6147, loss_depth: 0.6801, loss_size: 0.6530, loss_rotsin: 0.2308, loss_centerness: 0.5753, loss_velo: 0.0531, loss_dir: 0.4050, loss_attr: 0.2969, loss: 3.7634, grad_norm: 7.0226
2021-08-17 01:14:51,351 - mmdet - INFO - Epoch [7][1850/2217]	lr: 8.000e-03, eta: 6:34:39, time: 2.092, data_time: 0.056, memory: 20207, loss_cls: 0.2531, loss_offset: 0.6220, loss_depth: 0.7336, loss_size: 0.6429, loss_rotsin: 0.2346, loss_centerness: 0.5755, loss_velo: 0.0536, loss_dir: 0.4081, loss_attr: 0.2917, loss: 3.8151, grad_norm: 7.6870
2021-08-17 01:16:36,446 - mmdet - INFO - Epoch [7][1900/2217]	lr: 8.000e-03, eta: 6:32:57, time: 2.102, data_time: 0.058, memory: 20207, loss_cls: 0.2590, loss_offset: 0.6230, loss_depth: 0.7192, loss_size: 0.7023, loss_rotsin: 0.2295, loss_centerness: 0.5756, loss_velo: 0.0550, loss_dir: 0.4057, loss_attr: 0.3046, loss: 3.8740, grad_norm: 7.9385
2021-08-17 01:18:21,401 - mmdet - INFO - Epoch [7][1950/2217]	lr: 8.000e-03, eta: 6:31:15, time: 2.099, data_time: 0.055, memory: 20207, loss_cls: 0.2667, loss_offset: 0.6404, loss_depth: 0.7466, loss_size: 0.7132, loss_rotsin: 0.2406, loss_centerness: 0.5761, loss_velo: 0.0523, loss_dir: 0.4254, loss_attr: 0.3224, loss: 3.9838, grad_norm: 20.3436
2021-08-17 01:20:06,029 - mmdet - INFO - Epoch [7][2000/2217]	lr: 8.000e-03, eta: 6:29:32, time: 2.093, data_time: 0.054, memory: 20207, loss_cls: 0.2796, loss_offset: 0.6822, loss_depth: 0.7761, loss_size: 0.7731, loss_rotsin: 0.2511, loss_centerness: 0.5783, loss_velo: 0.0561, loss_dir: 0.4556, loss_attr: 0.3688, loss: 4.2208, grad_norm: 8.5697
2021-08-17 01:21:51,305 - mmdet - INFO - Epoch [7][2050/2217]	lr: 8.000e-03, eta: 6:27:50, time: 2.106, data_time: 0.051, memory: 20207, loss_cls: 0.2710, loss_offset: 0.6551, loss_depth: 0.7330, loss_size: 0.7300, loss_rotsin: 0.2524, loss_centerness: 0.5768, loss_velo: 0.0559, loss_dir: 0.4298, loss_attr: 0.3389, loss: 4.0430, grad_norm: 7.3565
2021-08-17 01:23:37,100 - mmdet - INFO - Epoch [7][2100/2217]	lr: 8.000e-03, eta: 6:26:08, time: 2.116, data_time: 0.052, memory: 20207, loss_cls: 0.2622, loss_offset: 0.6365, loss_depth: 0.8015, loss_size: 0.6884, loss_rotsin: 0.2384, loss_centerness: 0.5764, loss_velo: 0.0536, loss_dir: 0.4210, loss_attr: 0.3254, loss: 4.0036, grad_norm: 8.4188
2021-08-17 01:25:22,196 - mmdet - INFO - Epoch [7][2150/2217]	lr: 8.000e-03, eta: 6:24:26, time: 2.102, data_time: 0.056, memory: 20207, loss_cls: 0.2596, loss_offset: 0.6346, loss_depth: 0.7476, loss_size: 0.6821, loss_rotsin: 0.2359, loss_centerness: 0.5758, loss_velo: 0.0529, loss_dir: 0.4201, loss_attr: 0.3117, loss: 3.9203, grad_norm: 8.5104
2021-08-17 01:27:07,344 - mmdet - INFO - Epoch [7][2200/2217]	lr: 8.000e-03, eta: 6:22:44, time: 2.103, data_time: 0.053, memory: 20207, loss_cls: 0.2608, loss_offset: 0.6353, loss_depth: 0.8662, loss_size: 0.6896, loss_rotsin: 0.2341, loss_centerness: 0.5764, loss_velo: 0.0569, loss_dir: 0.4220, loss_attr: 0.3058, loss: 4.0471, grad_norm: 9.0833
2021-08-17 01:27:43,613 - mmdet - INFO - Saving checkpoint at 7 epochs
2021-08-17 01:29:36,460 - mmdet - INFO - Epoch [8][50/2217]	lr: 8.000e-03, eta: 6:20:06, time: 2.233, data_time: 0.204, memory: 20207, loss_cls: 0.2583, loss_offset: 0.6341, loss_depth: 0.8491, loss_size: 0.6726, loss_rotsin: 0.2360, loss_centerness: 0.5759, loss_velo: 0.0529, loss_dir: 0.4068, loss_attr: 0.2878, loss: 3.9736, grad_norm: 9.9089
2021-08-17 01:31:20,412 - mmdet - INFO - Epoch [8][100/2217]	lr: 8.000e-03, eta: 6:18:23, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2574, loss_offset: 0.6214, loss_depth: 0.8872, loss_size: 0.6602, loss_rotsin: 0.2333, loss_centerness: 0.5754, loss_velo: 0.0557, loss_dir: 0.4062, loss_attr: 0.2884, loss: 3.9851, grad_norm: 9.1984
2021-08-17 01:33:03,735 - mmdet - INFO - Epoch [8][150/2217]	lr: 8.000e-03, eta: 6:16:40, time: 2.066, data_time: 0.053, memory: 20207, loss_cls: 0.2556, loss_offset: 0.6300, loss_depth: 0.9639, loss_size: 0.6682, loss_rotsin: 0.2319, loss_centerness: 0.5760, loss_velo: 0.0550, loss_dir: 0.4099, loss_attr: 0.2732, loss: 4.0635, grad_norm: 9.2374
2021-08-17 01:34:46,770 - mmdet - INFO - Epoch [8][200/2217]	lr: 8.000e-03, eta: 6:14:56, time: 2.061, data_time: 0.053, memory: 20207, loss_cls: 0.2563, loss_offset: 0.6225, loss_depth: 0.7447, loss_size: 0.6573, loss_rotsin: 0.2350, loss_centerness: 0.5757, loss_velo: 0.0539, loss_dir: 0.4059, loss_attr: 0.2795, loss: 3.8308, grad_norm: 7.9698
2021-08-17 01:36:30,650 - mmdet - INFO - Epoch [8][250/2217]	lr: 8.000e-03, eta: 6:13:14, time: 2.078, data_time: 0.055, memory: 20207, loss_cls: 0.2556, loss_offset: 0.6166, loss_depth: 0.7739, loss_size: 0.6571, loss_rotsin: 0.2322, loss_centerness: 0.5750, loss_velo: 0.0563, loss_dir: 0.3941, loss_attr: 0.2810, loss: 3.8417, grad_norm: 8.5870
2021-08-17 01:38:14,462 - mmdet - INFO - Epoch [8][300/2217]	lr: 8.000e-03, eta: 6:11:30, time: 2.076, data_time: 0.054, memory: 20207, loss_cls: 0.2523, loss_offset: 0.6204, loss_depth: 0.7130, loss_size: 0.6411, loss_rotsin: 0.2302, loss_centerness: 0.5759, loss_velo: 0.0557, loss_dir: 0.4032, loss_attr: 0.2752, loss: 3.7670, grad_norm: 7.5249
2021-08-17 01:39:58,693 - mmdet - INFO - Epoch [8][350/2217]	lr: 8.000e-03, eta: 6:09:48, time: 2.085, data_time: 0.051, memory: 20207, loss_cls: 0.2521, loss_offset: 0.6170, loss_depth: 0.6840, loss_size: 0.6286, loss_rotsin: 0.2299, loss_centerness: 0.5753, loss_velo: 0.0531, loss_dir: 0.4023, loss_attr: 0.2855, loss: 3.7278, grad_norm: 6.9468
2021-08-17 01:41:42,634 - mmdet - INFO - Epoch [8][400/2217]	lr: 8.000e-03, eta: 6:08:05, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2509, loss_offset: 0.6071, loss_depth: 0.7054, loss_size: 0.6459, loss_rotsin: 0.2236, loss_centerness: 0.5750, loss_velo: 0.0555, loss_dir: 0.3951, loss_attr: 0.2869, loss: 3.7453, grad_norm: 7.6125
2021-08-17 01:43:26,179 - mmdet - INFO - Epoch [8][450/2217]	lr: 8.000e-03, eta: 6:06:22, time: 2.071, data_time: 0.054, memory: 20207, loss_cls: 0.2505, loss_offset: 0.6181, loss_depth: 0.6894, loss_size: 0.6498, loss_rotsin: 0.2317, loss_centerness: 0.5750, loss_velo: 0.0536, loss_dir: 0.4058, loss_attr: 0.2670, loss: 3.7410, grad_norm: 7.4579
2021-08-17 01:45:09,856 - mmdet - INFO - Epoch [8][500/2217]	lr: 8.000e-03, eta: 6:04:38, time: 2.074, data_time: 0.056, memory: 20207, loss_cls: 0.2502, loss_offset: 0.6128, loss_depth: 0.6604, loss_size: 0.6401, loss_rotsin: 0.2300, loss_centerness: 0.5752, loss_velo: 0.0553, loss_dir: 0.4034, loss_attr: 0.2785, loss: 3.7060, grad_norm: 7.0221
2021-08-17 01:46:53,520 - mmdet - INFO - Epoch [8][550/2217]	lr: 8.000e-03, eta: 6:02:55, time: 2.073, data_time: 0.051, memory: 20207, loss_cls: 0.2521, loss_offset: 0.6167, loss_depth: 0.6930, loss_size: 0.6490, loss_rotsin: 0.2313, loss_centerness: 0.5752, loss_velo: 0.0567, loss_dir: 0.3930, loss_attr: 0.2731, loss: 3.7402, grad_norm: 7.2528
2021-08-17 01:48:37,181 - mmdet - INFO - Epoch [8][600/2217]	lr: 8.000e-03, eta: 6:01:12, time: 2.073, data_time: 0.056, memory: 20207, loss_cls: 0.2483, loss_offset: 0.6038, loss_depth: 0.6613, loss_size: 0.6431, loss_rotsin: 0.2173, loss_centerness: 0.5748, loss_velo: 0.0540, loss_dir: 0.3876, loss_attr: 0.2754, loss: 3.6655, grad_norm: 7.4203
2021-08-17 01:50:20,952 - mmdet - INFO - Epoch [8][650/2217]	lr: 8.000e-03, eta: 5:59:29, time: 2.075, data_time: 0.052, memory: 20207, loss_cls: 0.2528, loss_offset: 0.6146, loss_depth: 0.6638, loss_size: 0.6472, loss_rotsin: 0.2294, loss_centerness: 0.5751, loss_velo: 0.0547, loss_dir: 0.3953, loss_attr: 0.2717, loss: 3.7045, grad_norm: 7.3062
2021-08-17 01:52:04,885 - mmdet - INFO - Epoch [8][700/2217]	lr: 8.000e-03, eta: 5:57:46, time: 2.079, data_time: 0.053, memory: 20207, loss_cls: 0.2528, loss_offset: 0.6170, loss_depth: 0.6872, loss_size: 0.6408, loss_rotsin: 0.2316, loss_centerness: 0.5753, loss_velo: 0.0536, loss_dir: 0.3926, loss_attr: 0.2804, loss: 3.7312, grad_norm: 7.5572
2021-08-17 01:53:48,481 - mmdet - INFO - Epoch [8][750/2217]	lr: 8.000e-03, eta: 5:56:03, time: 2.072, data_time: 0.056, memory: 20207, loss_cls: 0.2536, loss_offset: 0.6122, loss_depth: 0.7270, loss_size: 0.6439, loss_rotsin: 0.2306, loss_centerness: 0.5749, loss_velo: 0.0549, loss_dir: 0.4008, loss_attr: 0.2788, loss: 3.7767, grad_norm: 8.3016
2021-08-17 01:55:31,920 - mmdet - INFO - Epoch [8][800/2217]	lr: 8.000e-03, eta: 5:54:20, time: 2.069, data_time: 0.054, memory: 20207, loss_cls: 0.2613, loss_offset: 0.6405, loss_depth: 0.7395, loss_size: 0.6593, loss_rotsin: 0.2302, loss_centerness: 0.5761, loss_velo: 0.0529, loss_dir: 0.4218, loss_attr: 0.2980, loss: 3.8796, grad_norm: 9.3325
2021-08-17 01:57:15,653 - mmdet - INFO - Epoch [8][850/2217]	lr: 8.000e-03, eta: 5:52:36, time: 2.075, data_time: 0.055, memory: 20207, loss_cls: 0.2656, loss_offset: 0.6461, loss_depth: 0.8112, loss_size: 0.7056, loss_rotsin: 0.2399, loss_centerness: 0.5768, loss_velo: 0.0556, loss_dir: 0.4166, loss_attr: 0.3069, loss: 4.0244, grad_norm: 10.4123
2021-08-17 01:58:58,988 - mmdet - INFO - Epoch [8][900/2217]	lr: 8.000e-03, eta: 5:50:53, time: 2.067, data_time: 0.055, memory: 20207, loss_cls: 0.2620, loss_offset: 0.6298, loss_depth: 0.7594, loss_size: 0.7000, loss_rotsin: 0.2295, loss_centerness: 0.5759, loss_velo: 0.0556, loss_dir: 0.4158, loss_attr: 0.3084, loss: 3.9366, grad_norm: 8.2334
2021-08-17 02:00:42,043 - mmdet - INFO - Epoch [8][950/2217]	lr: 8.000e-03, eta: 5:49:10, time: 2.061, data_time: 0.053, memory: 20207, loss_cls: 0.2588, loss_offset: 0.6270, loss_depth: 0.6902, loss_size: 0.6484, loss_rotsin: 0.2305, loss_centerness: 0.5762, loss_velo: 0.0542, loss_dir: 0.4024, loss_attr: 0.2855, loss: 3.7732, grad_norm: 7.0252
2021-08-17 02:02:25,187 - mmdet - INFO - Epoch [8][1000/2217]	lr: 8.000e-03, eta: 5:47:26, time: 2.063, data_time: 0.052, memory: 20207, loss_cls: 0.2556, loss_offset: 0.6147, loss_depth: 0.7515, loss_size: 0.6707, loss_rotsin: 0.2311, loss_centerness: 0.5749, loss_velo: 0.0558, loss_dir: 0.4063, loss_attr: 0.2894, loss: 3.8499, grad_norm: 8.0786
2021-08-17 02:04:08,396 - mmdet - INFO - Epoch [8][1050/2217]	lr: 8.000e-03, eta: 5:45:43, time: 2.064, data_time: 0.053, memory: 20207, loss_cls: 0.2552, loss_offset: 0.6235, loss_depth: 0.8139, loss_size: 0.6635, loss_rotsin: 0.2276, loss_centerness: 0.5757, loss_velo: 0.0533, loss_dir: 0.4009, loss_attr: 0.2652, loss: 3.8787, grad_norm: 8.8723
2021-08-17 02:05:51,888 - mmdet - INFO - Epoch [8][1100/2217]	lr: 8.000e-03, eta: 5:43:59, time: 2.070, data_time: 0.052, memory: 20207, loss_cls: 0.2537, loss_offset: 0.6267, loss_depth: 0.7299, loss_size: 0.6606, loss_rotsin: 0.2306, loss_centerness: 0.5756, loss_velo: 0.0512, loss_dir: 0.3998, loss_attr: 0.2770, loss: 3.8050, grad_norm: 7.5083
2021-08-17 02:07:35,468 - mmdet - INFO - Epoch [8][1150/2217]	lr: 8.000e-03, eta: 5:42:16, time: 2.072, data_time: 0.055, memory: 20207, loss_cls: 0.2467, loss_offset: 0.6070, loss_depth: 0.6952, loss_size: 0.6390, loss_rotsin: 0.2259, loss_centerness: 0.5748, loss_velo: 0.0531, loss_dir: 0.3972, loss_attr: 0.2825, loss: 3.7214, grad_norm: 7.3234
2021-08-17 02:09:18,996 - mmdet - INFO - Epoch [8][1200/2217]	lr: 8.000e-03, eta: 5:40:33, time: 2.071, data_time: 0.056, memory: 20207, loss_cls: 0.2500, loss_offset: 0.6128, loss_depth: 0.6903, loss_size: 0.6430, loss_rotsin: 0.2292, loss_centerness: 0.5752, loss_velo: 0.0535, loss_dir: 0.3943, loss_attr: 0.2722, loss: 3.7204, grad_norm: 7.2318
2021-08-17 02:11:03,491 - mmdet - INFO - Epoch [8][1250/2217]	lr: 8.000e-03, eta: 5:38:50, time: 2.090, data_time: 0.056, memory: 20207, loss_cls: 0.2538, loss_offset: 0.6200, loss_depth: 0.8069, loss_size: 0.6541, loss_rotsin: 0.2339, loss_centerness: 0.5751, loss_velo: 0.0551, loss_dir: 0.3996, loss_attr: 0.2779, loss: 3.8763, grad_norm: 8.8586
2021-08-17 02:12:47,388 - mmdet - INFO - Epoch [8][1300/2217]	lr: 8.000e-03, eta: 5:37:07, time: 2.078, data_time: 0.056, memory: 20207, loss_cls: 0.2497, loss_offset: 0.6107, loss_depth: 0.7935, loss_size: 0.6499, loss_rotsin: 0.2234, loss_centerness: 0.5751, loss_velo: 0.0556, loss_dir: 0.3938, loss_attr: 0.2732, loss: 3.8249, grad_norm: 8.5811
2021-08-17 02:14:31,605 - mmdet - INFO - Epoch [8][1350/2217]	lr: 8.000e-03, eta: 5:35:24, time: 2.084, data_time: 0.057, memory: 20207, loss_cls: 0.2495, loss_offset: 0.6126, loss_depth: 0.7337, loss_size: 0.6377, loss_rotsin: 0.2282, loss_centerness: 0.5751, loss_velo: 0.0533, loss_dir: 0.3942, loss_attr: 0.2713, loss: 3.7558, grad_norm: 7.5984
2021-08-17 02:16:16,749 - mmdet - INFO - Epoch [8][1400/2217]	lr: 8.000e-03, eta: 5:33:42, time: 2.103, data_time: 0.054, memory: 20207, loss_cls: 0.2481, loss_offset: 0.6007, loss_depth: 0.6510, loss_size: 0.6339, loss_rotsin: 0.2232, loss_centerness: 0.5743, loss_velo: 0.0538, loss_dir: 0.3847, loss_attr: 0.2683, loss: 3.6380, grad_norm: 6.5973
2021-08-17 02:18:01,597 - mmdet - INFO - Epoch [8][1450/2217]	lr: 8.000e-03, eta: 5:31:59, time: 2.097, data_time: 0.058, memory: 20207, loss_cls: 0.2505, loss_offset: 0.6075, loss_depth: 0.6940, loss_size: 0.6340, loss_rotsin: 0.2215, loss_centerness: 0.5746, loss_velo: 0.0576, loss_dir: 0.3952, loss_attr: 0.2706, loss: 3.7055, grad_norm: 7.1810
2021-08-17 02:19:45,830 - mmdet - INFO - Epoch [8][1500/2217]	lr: 8.000e-03, eta: 5:30:17, time: 2.085, data_time: 0.056, memory: 20207, loss_cls: 0.2495, loss_offset: 0.6074, loss_depth: 0.7065, loss_size: 0.6327, loss_rotsin: 0.2263, loss_centerness: 0.5747, loss_velo: 0.0548, loss_dir: 0.4008, loss_attr: 0.2640, loss: 3.7164, grad_norm: 7.6760
2021-08-17 02:21:29,786 - mmdet - INFO - Epoch [8][1550/2217]	lr: 8.000e-03, eta: 5:28:33, time: 2.079, data_time: 0.061, memory: 20207, loss_cls: 0.2524, loss_offset: 0.6091, loss_depth: 0.7245, loss_size: 0.6357, loss_rotsin: 0.2295, loss_centerness: 0.5749, loss_velo: 0.0537, loss_dir: 0.4013, loss_attr: 0.2784, loss: 3.7593, grad_norm: 7.4214
2021-08-17 02:23:13,906 - mmdet - INFO - Epoch [8][1600/2217]	lr: 8.000e-03, eta: 5:26:51, time: 2.082, data_time: 0.054, memory: 20207, loss_cls: 0.2467, loss_offset: 0.6040, loss_depth: 0.7231, loss_size: 0.6325, loss_rotsin: 0.2283, loss_centerness: 0.5749, loss_velo: 0.0552, loss_dir: 0.3929, loss_attr: 0.2579, loss: 3.7155, grad_norm: 7.8709
2021-08-17 02:24:57,713 - mmdet - INFO - Epoch [8][1650/2217]	lr: 8.000e-03, eta: 5:25:07, time: 2.076, data_time: 0.054, memory: 20207, loss_cls: 0.2490, loss_offset: 0.6084, loss_depth: 0.7386, loss_size: 0.6500, loss_rotsin: 0.2287, loss_centerness: 0.5748, loss_velo: 0.0530, loss_dir: 0.3918, loss_attr: 0.2598, loss: 3.7541, grad_norm: 7.8292
2021-08-17 02:26:41,936 - mmdet - INFO - Epoch [8][1700/2217]	lr: 8.000e-03, eta: 5:23:24, time: 2.085, data_time: 0.054, memory: 20207, loss_cls: 0.2475, loss_offset: 0.6059, loss_depth: 0.7528, loss_size: 0.6271, loss_rotsin: 0.2256, loss_centerness: 0.5749, loss_velo: 0.0542, loss_dir: 0.3962, loss_attr: 0.2603, loss: 3.7446, grad_norm: 8.0289
2021-08-17 02:28:25,440 - mmdet - INFO - Epoch [8][1750/2217]	lr: 8.000e-03, eta: 5:21:41, time: 2.070, data_time: 0.055, memory: 20207, loss_cls: 0.2465, loss_offset: 0.6055, loss_depth: 0.7041, loss_size: 0.6380, loss_rotsin: 0.2225, loss_centerness: 0.5748, loss_velo: 0.0550, loss_dir: 0.3906, loss_attr: 0.2521, loss: 3.6890, grad_norm: 7.5916
2021-08-17 02:30:09,856 - mmdet - INFO - Epoch [8][1800/2217]	lr: 8.000e-03, eta: 5:19:58, time: 2.088, data_time: 0.052, memory: 20207, loss_cls: 0.2511, loss_offset: 0.6021, loss_depth: 0.7169, loss_size: 0.6426, loss_rotsin: 0.2262, loss_centerness: 0.5744, loss_velo: 0.0569, loss_dir: 0.3936, loss_attr: 0.2772, loss: 3.7409, grad_norm: 7.7277
2021-08-17 02:31:54,303 - mmdet - INFO - Epoch [8][1850/2217]	lr: 8.000e-03, eta: 5:18:15, time: 2.089, data_time: 0.052, memory: 20207, loss_cls: 0.2451, loss_offset: 0.6045, loss_depth: 0.6878, loss_size: 0.6210, loss_rotsin: 0.2221, loss_centerness: 0.5744, loss_velo: 0.0531, loss_dir: 0.3879, loss_attr: 0.2620, loss: 3.6580, grad_norm: 7.3932
2021-08-17 02:33:39,185 - mmdet - INFO - Epoch [8][1900/2217]	lr: 8.000e-03, eta: 5:16:33, time: 2.098, data_time: 0.053, memory: 20207, loss_cls: 0.2481, loss_offset: 0.6051, loss_depth: 0.7377, loss_size: 0.6373, loss_rotsin: 0.2282, loss_centerness: 0.5746, loss_velo: 0.0520, loss_dir: 0.3800, loss_attr: 0.2568, loss: 3.7197, grad_norm: 7.8317
2021-08-17 02:35:23,873 - mmdet - INFO - Epoch [8][1950/2217]	lr: 8.000e-03, eta: 5:14:50, time: 2.094, data_time: 0.053, memory: 20207, loss_cls: 0.2501, loss_offset: 0.6029, loss_depth: 0.6517, loss_size: 0.6409, loss_rotsin: 0.2247, loss_centerness: 0.5747, loss_velo: 0.0557, loss_dir: 0.3876, loss_attr: 0.2670, loss: 3.6553, grad_norm: 6.5139
2021-08-17 02:37:09,327 - mmdet - INFO - Epoch [8][2000/2217]	lr: 8.000e-03, eta: 5:13:08, time: 2.109, data_time: 0.054, memory: 20207, loss_cls: 0.2475, loss_offset: 0.6067, loss_depth: 0.7544, loss_size: 0.6407, loss_rotsin: 0.2219, loss_centerness: 0.5746, loss_velo: 0.0531, loss_dir: 0.3829, loss_attr: 0.2686, loss: 3.7504, grad_norm: 8.4278
2021-08-17 02:38:55,200 - mmdet - INFO - Epoch [8][2050/2217]	lr: 8.000e-03, eta: 5:11:26, time: 2.117, data_time: 0.056, memory: 20207, loss_cls: 0.2433, loss_offset: 0.5984, loss_depth: 0.6984, loss_size: 0.6215, loss_rotsin: 0.2134, loss_centerness: 0.5747, loss_velo: 0.0544, loss_dir: 0.3837, loss_attr: 0.2486, loss: 3.6366, grad_norm: 7.7553
2021-08-17 02:40:40,188 - mmdet - INFO - Epoch [8][2100/2217]	lr: 8.000e-03, eta: 5:09:43, time: 2.100, data_time: 0.057, memory: 20207, loss_cls: 0.2441, loss_offset: 0.5995, loss_depth: 0.7172, loss_size: 0.6233, loss_rotsin: 0.2236, loss_centerness: 0.5744, loss_velo: 0.0543, loss_dir: 0.3905, loss_attr: 0.2621, loss: 3.6888, grad_norm: 7.4725
2021-08-17 02:42:25,417 - mmdet - INFO - Epoch [8][2150/2217]	lr: 8.000e-03, eta: 5:08:01, time: 2.104, data_time: 0.053, memory: 20207, loss_cls: 0.2431, loss_offset: 0.5965, loss_depth: 0.6944, loss_size: 0.6152, loss_rotsin: 0.2214, loss_centerness: 0.5743, loss_velo: 0.0547, loss_dir: 0.3766, loss_attr: 0.2451, loss: 3.6211, grad_norm: 7.5691
2021-08-17 02:44:10,710 - mmdet - INFO - Epoch [8][2200/2217]	lr: 8.000e-03, eta: 5:06:18, time: 2.106, data_time: 0.059, memory: 20207, loss_cls: 0.2452, loss_offset: 0.5976, loss_depth: 0.7149, loss_size: 0.6194, loss_rotsin: 0.2188, loss_centerness: 0.5743, loss_velo: 0.0524, loss_dir: 0.3825, loss_attr: 0.2585, loss: 3.6635, grad_norm: 7.9568
2021-08-17 02:44:46,701 - mmdet - INFO - Saving checkpoint at 8 epochs
2021-08-17 02:46:39,115 - mmdet - INFO - Epoch [9][50/2217]	lr: 8.000e-04, eta: 5:03:46, time: 2.228, data_time: 0.198, memory: 20207, loss_cls: 0.2390, loss_offset: 0.5807, loss_depth: 0.5805, loss_size: 0.5789, loss_rotsin: 0.2074, loss_centerness: 0.5738, loss_velo: 0.0547, loss_dir: 0.3703, loss_attr: 0.2225, loss: 3.4078, grad_norm: 5.7039
2021-08-17 02:48:22,918 - mmdet - INFO - Epoch [9][100/2217]	lr: 8.000e-04, eta: 5:02:03, time: 2.076, data_time: 0.054, memory: 20207, loss_cls: 0.2372, loss_offset: 0.5749, loss_depth: 0.5567, loss_size: 0.5667, loss_rotsin: 0.2056, loss_centerness: 0.5730, loss_velo: 0.0558, loss_dir: 0.3651, loss_attr: 0.2131, loss: 3.3481, grad_norm: 5.0029
2021-08-17 02:50:07,351 - mmdet - INFO - Epoch [9][150/2217]	lr: 8.000e-04, eta: 5:00:20, time: 2.089, data_time: 0.056, memory: 20207, loss_cls: 0.2359, loss_offset: 0.5797, loss_depth: 0.5469, loss_size: 0.5672, loss_rotsin: 0.2053, loss_centerness: 0.5736, loss_velo: 0.0554, loss_dir: 0.3540, loss_attr: 0.2112, loss: 3.3292, grad_norm: 5.0730
2021-08-17 02:51:51,424 - mmdet - INFO - Epoch [9][200/2217]	lr: 8.000e-04, eta: 4:58:37, time: 2.081, data_time: 0.056, memory: 20207, loss_cls: 0.2319, loss_offset: 0.5795, loss_depth: 0.5344, loss_size: 0.5404, loss_rotsin: 0.2009, loss_centerness: 0.5734, loss_velo: 0.0533, loss_dir: 0.3527, loss_attr: 0.2061, loss: 3.2727, grad_norm: 4.7259
2021-08-17 02:53:35,242 - mmdet - INFO - Epoch [9][250/2217]	lr: 8.000e-04, eta: 4:56:54, time: 2.076, data_time: 0.054, memory: 20207, loss_cls: 0.2304, loss_offset: 0.5727, loss_depth: 0.5322, loss_size: 0.5342, loss_rotsin: 0.1989, loss_centerness: 0.5733, loss_velo: 0.0530, loss_dir: 0.3546, loss_attr: 0.2000, loss: 3.2494, grad_norm: 4.9114
2021-08-17 02:55:19,625 - mmdet - INFO - Epoch [9][300/2217]	lr: 8.000e-04, eta: 4:55:11, time: 2.088, data_time: 0.056, memory: 20207, loss_cls: 0.2315, loss_offset: 0.5758, loss_depth: 0.5292, loss_size: 0.5535, loss_rotsin: 0.2040, loss_centerness: 0.5730, loss_velo: 0.0506, loss_dir: 0.3481, loss_attr: 0.1996, loss: 3.2651, grad_norm: 4.9930
2021-08-17 02:57:04,358 - mmdet - INFO - Epoch [9][350/2217]	lr: 8.000e-04, eta: 4:53:28, time: 2.095, data_time: 0.052, memory: 20207, loss_cls: 0.2349, loss_offset: 0.5786, loss_depth: 0.5514, loss_size: 0.5637, loss_rotsin: 0.1955, loss_centerness: 0.5735, loss_velo: 0.0529, loss_dir: 0.3476, loss_attr: 0.2034, loss: 3.3016, grad_norm: 5.2033
2021-08-17 02:58:48,818 - mmdet - INFO - Epoch [9][400/2217]	lr: 8.000e-04, eta: 4:51:46, time: 2.089, data_time: 0.050, memory: 20207, loss_cls: 0.2312, loss_offset: 0.5721, loss_depth: 0.5209, loss_size: 0.5413, loss_rotsin: 0.2026, loss_centerness: 0.5731, loss_velo: 0.0535, loss_dir: 0.3413, loss_attr: 0.1902, loss: 3.2261, grad_norm: 5.0825
2021-08-17 03:00:33,337 - mmdet - INFO - Epoch [9][450/2217]	lr: 8.000e-04, eta: 4:50:03, time: 2.090, data_time: 0.052, memory: 20207, loss_cls: 0.2315, loss_offset: 0.5681, loss_depth: 0.5287, loss_size: 0.5426, loss_rotsin: 0.1925, loss_centerness: 0.5728, loss_velo: 0.0557, loss_dir: 0.3434, loss_attr: 0.1829, loss: 3.2181, grad_norm: 4.9797
2021-08-17 03:02:17,412 - mmdet - INFO - Epoch [9][500/2217]	lr: 8.000e-04, eta: 4:48:20, time: 2.082, data_time: 0.056, memory: 20207, loss_cls: 0.2307, loss_offset: 0.5696, loss_depth: 0.5230, loss_size: 0.5408, loss_rotsin: 0.1937, loss_centerness: 0.5734, loss_velo: 0.0538, loss_dir: 0.3418, loss_attr: 0.1892, loss: 3.2160, grad_norm: 4.9762
2021-08-17 03:04:01,707 - mmdet - INFO - Epoch [9][550/2217]	lr: 8.000e-04, eta: 4:46:37, time: 2.086, data_time: 0.055, memory: 20207, loss_cls: 0.2331, loss_offset: 0.5710, loss_depth: 0.5375, loss_size: 0.5511, loss_rotsin: 0.1996, loss_centerness: 0.5732, loss_velo: 0.0528, loss_dir: 0.3465, loss_attr: 0.1949, loss: 3.2597, grad_norm: 5.0695
2021-08-17 03:05:45,714 - mmdet - INFO - Epoch [9][600/2217]	lr: 8.000e-04, eta: 4:44:54, time: 2.080, data_time: 0.055, memory: 20207, loss_cls: 0.2297, loss_offset: 0.5625, loss_depth: 0.5148, loss_size: 0.5425, loss_rotsin: 0.1950, loss_centerness: 0.5727, loss_velo: 0.0514, loss_dir: 0.3385, loss_attr: 0.1852, loss: 3.1925, grad_norm: 4.9839
2021-08-17 03:07:29,740 - mmdet - INFO - Epoch [9][650/2217]	lr: 8.000e-04, eta: 4:43:11, time: 2.080, data_time: 0.051, memory: 20207, loss_cls: 0.2306, loss_offset: 0.5691, loss_depth: 0.5253, loss_size: 0.5308, loss_rotsin: 0.1942, loss_centerness: 0.5731, loss_velo: 0.0550, loss_dir: 0.3353, loss_attr: 0.1985, loss: 3.2119, grad_norm: 4.9668
2021-08-17 03:09:13,726 - mmdet - INFO - Epoch [9][700/2217]	lr: 8.000e-04, eta: 4:41:27, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2285, loss_offset: 0.5657, loss_depth: 0.5140, loss_size: 0.5309, loss_rotsin: 0.1993, loss_centerness: 0.5730, loss_velo: 0.0538, loss_dir: 0.3381, loss_attr: 0.1856, loss: 3.1889, grad_norm: 4.8504
2021-08-17 03:10:57,434 - mmdet - INFO - Epoch [9][750/2217]	lr: 8.000e-04, eta: 4:39:44, time: 2.074, data_time: 0.053, memory: 20207, loss_cls: 0.2290, loss_offset: 0.5722, loss_depth: 0.5245, loss_size: 0.5265, loss_rotsin: 0.1922, loss_centerness: 0.5735, loss_velo: 0.0525, loss_dir: 0.3355, loss_attr: 0.1841, loss: 3.1901, grad_norm: 5.0467
2021-08-17 03:12:41,631 - mmdet - INFO - Epoch [9][800/2217]	lr: 8.000e-04, eta: 4:38:01, time: 2.084, data_time: 0.050, memory: 20207, loss_cls: 0.2290, loss_offset: 0.5692, loss_depth: 0.5272, loss_size: 0.5429, loss_rotsin: 0.1967, loss_centerness: 0.5730, loss_velo: 0.0505, loss_dir: 0.3433, loss_attr: 0.1850, loss: 3.2168, grad_norm: 4.9659
2021-08-17 03:14:25,747 - mmdet - INFO - Epoch [9][850/2217]	lr: 8.000e-04, eta: 4:36:18, time: 2.082, data_time: 0.051, memory: 20207, loss_cls: 0.2296, loss_offset: 0.5696, loss_depth: 0.5151, loss_size: 0.5407, loss_rotsin: 0.1991, loss_centerness: 0.5731, loss_velo: 0.0526, loss_dir: 0.3440, loss_attr: 0.1775, loss: 3.2014, grad_norm: 4.8107
2021-08-17 03:16:10,001 - mmdet - INFO - Epoch [9][900/2217]	lr: 8.000e-04, eta: 4:34:35, time: 2.085, data_time: 0.053, memory: 20207, loss_cls: 0.2302, loss_offset: 0.5668, loss_depth: 0.5066, loss_size: 0.5397, loss_rotsin: 0.1943, loss_centerness: 0.5730, loss_velo: 0.0529, loss_dir: 0.3270, loss_attr: 0.1867, loss: 3.1773, grad_norm: 4.9961
2021-08-17 03:17:53,865 - mmdet - INFO - Epoch [9][950/2217]	lr: 8.000e-04, eta: 4:32:52, time: 2.077, data_time: 0.051, memory: 20207, loss_cls: 0.2280, loss_offset: 0.5604, loss_depth: 0.5061, loss_size: 0.5269, loss_rotsin: 0.1932, loss_centerness: 0.5726, loss_velo: 0.0533, loss_dir: 0.3418, loss_attr: 0.1808, loss: 3.1632, grad_norm: 4.9680
2021-08-17 03:19:38,307 - mmdet - INFO - Epoch [9][1000/2217]	lr: 8.000e-04, eta: 4:31:09, time: 2.089, data_time: 0.052, memory: 20207, loss_cls: 0.2256, loss_offset: 0.5605, loss_depth: 0.5053, loss_size: 0.5266, loss_rotsin: 0.1946, loss_centerness: 0.5727, loss_velo: 0.0490, loss_dir: 0.3373, loss_attr: 0.1814, loss: 3.1530, grad_norm: 5.0300
2021-08-17 03:21:22,376 - mmdet - INFO - Epoch [9][1050/2217]	lr: 8.000e-04, eta: 4:29:26, time: 2.081, data_time: 0.052, memory: 20207, loss_cls: 0.2290, loss_offset: 0.5690, loss_depth: 0.5230, loss_size: 0.5267, loss_rotsin: 0.1962, loss_centerness: 0.5732, loss_velo: 0.0530, loss_dir: 0.3424, loss_attr: 0.1831, loss: 3.1957, grad_norm: 5.0519
2021-08-17 03:23:06,290 - mmdet - INFO - Epoch [9][1100/2217]	lr: 8.000e-04, eta: 4:27:43, time: 2.078, data_time: 0.054, memory: 20207, loss_cls: 0.2288, loss_offset: 0.5684, loss_depth: 0.5182, loss_size: 0.5286, loss_rotsin: 0.1974, loss_centerness: 0.5733, loss_velo: 0.0546, loss_dir: 0.3380, loss_attr: 0.1872, loss: 3.1945, grad_norm: 4.9599
2021-08-17 03:24:49,541 - mmdet - INFO - Epoch [9][1150/2217]	lr: 8.000e-04, eta: 4:25:59, time: 2.065, data_time: 0.050, memory: 20207, loss_cls: 0.2272, loss_offset: 0.5666, loss_depth: 0.5137, loss_size: 0.5308, loss_rotsin: 0.1961, loss_centerness: 0.5728, loss_velo: 0.0541, loss_dir: 0.3377, loss_attr: 0.1768, loss: 3.1758, grad_norm: 4.9711
2021-08-17 03:26:33,158 - mmdet - INFO - Epoch [9][1200/2217]	lr: 8.000e-04, eta: 4:24:16, time: 2.072, data_time: 0.053, memory: 20207, loss_cls: 0.2279, loss_offset: 0.5689, loss_depth: 0.5200, loss_size: 0.5235, loss_rotsin: 0.1997, loss_centerness: 0.5731, loss_velo: 0.0525, loss_dir: 0.3417, loss_attr: 0.1804, loss: 3.1877, grad_norm: 4.9761
2021-08-17 03:28:16,310 - mmdet - INFO - Epoch [9][1250/2217]	lr: 8.000e-04, eta: 4:22:32, time: 2.063, data_time: 0.052, memory: 20207, loss_cls: 0.2255, loss_offset: 0.5634, loss_depth: 0.5054, loss_size: 0.5231, loss_rotsin: 0.1920, loss_centerness: 0.5730, loss_velo: 0.0526, loss_dir: 0.3344, loss_attr: 0.1754, loss: 3.1448, grad_norm: 5.0257
2021-08-17 03:30:00,001 - mmdet - INFO - Epoch [9][1300/2217]	lr: 8.000e-04, eta: 4:20:49, time: 2.074, data_time: 0.052, memory: 20207, loss_cls: 0.2275, loss_offset: 0.5654, loss_depth: 0.5154, loss_size: 0.5344, loss_rotsin: 0.1934, loss_centerness: 0.5727, loss_velo: 0.0553, loss_dir: 0.3340, loss_attr: 0.1885, loss: 3.1865, grad_norm: 5.0671
2021-08-17 03:31:44,066 - mmdet - INFO - Epoch [9][1350/2217]	lr: 8.000e-04, eta: 4:19:06, time: 2.081, data_time: 0.054, memory: 20207, loss_cls: 0.2273, loss_offset: 0.5642, loss_depth: 0.5171, loss_size: 0.5323, loss_rotsin: 0.1961, loss_centerness: 0.5731, loss_velo: 0.0533, loss_dir: 0.3401, loss_attr: 0.1866, loss: 3.1901, grad_norm: 4.9181
2021-08-17 03:33:28,028 - mmdet - INFO - Epoch [9][1400/2217]	lr: 8.000e-04, eta: 4:17:23, time: 2.079, data_time: 0.052, memory: 20207, loss_cls: 0.2258, loss_offset: 0.5674, loss_depth: 0.5106, loss_size: 0.5247, loss_rotsin: 0.1921, loss_centerness: 0.5732, loss_velo: 0.0522, loss_dir: 0.3374, loss_attr: 0.1743, loss: 3.1576, grad_norm: 4.9599
2021-08-17 03:35:11,249 - mmdet - INFO - Epoch [9][1450/2217]	lr: 8.000e-04, eta: 4:15:39, time: 2.064, data_time: 0.049, memory: 20207, loss_cls: 0.2292, loss_offset: 0.5646, loss_depth: 0.5078, loss_size: 0.5288, loss_rotsin: 0.1935, loss_centerness: 0.5730, loss_velo: 0.0548, loss_dir: 0.3404, loss_attr: 0.1867, loss: 3.1789, grad_norm: 4.9990
2021-08-17 03:36:54,923 - mmdet - INFO - Epoch [9][1500/2217]	lr: 8.000e-04, eta: 4:13:56, time: 2.074, data_time: 0.056, memory: 20207, loss_cls: 0.2276, loss_offset: 0.5644, loss_depth: 0.5088, loss_size: 0.5197, loss_rotsin: 0.1917, loss_centerness: 0.5729, loss_velo: 0.0538, loss_dir: 0.3334, loss_attr: 0.1798, loss: 3.1521, grad_norm: 5.0463
2021-08-17 03:38:38,918 - mmdet - INFO - Epoch [9][1550/2217]	lr: 8.000e-04, eta: 4:12:13, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2275, loss_offset: 0.5718, loss_depth: 0.5142, loss_size: 0.5189, loss_rotsin: 0.1935, loss_centerness: 0.5735, loss_velo: 0.0543, loss_dir: 0.3392, loss_attr: 0.1766, loss: 3.1696, grad_norm: 5.1260
2021-08-17 03:40:22,465 - mmdet - INFO - Epoch [9][1600/2217]	lr: 8.000e-04, eta: 4:10:30, time: 2.071, data_time: 0.052, memory: 20207, loss_cls: 0.2260, loss_offset: 0.5626, loss_depth: 0.5028, loss_size: 0.5238, loss_rotsin: 0.1930, loss_centerness: 0.5728, loss_velo: 0.0548, loss_dir: 0.3400, loss_attr: 0.1797, loss: 3.1554, grad_norm: 5.1156
2021-08-17 03:42:05,891 - mmdet - INFO - Epoch [9][1650/2217]	lr: 8.000e-04, eta: 4:08:46, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2268, loss_offset: 0.5613, loss_depth: 0.5083, loss_size: 0.5276, loss_rotsin: 0.1914, loss_centerness: 0.5729, loss_velo: 0.0515, loss_dir: 0.3322, loss_attr: 0.1714, loss: 3.1433, grad_norm: 4.9998
2021-08-17 03:43:49,699 - mmdet - INFO - Epoch [9][1700/2217]	lr: 8.000e-04, eta: 4:07:03, time: 2.076, data_time: 0.057, memory: 20207, loss_cls: 0.2279, loss_offset: 0.5642, loss_depth: 0.5048, loss_size: 0.5322, loss_rotsin: 0.1979, loss_centerness: 0.5727, loss_velo: 0.0500, loss_dir: 0.3416, loss_attr: 0.1744, loss: 3.1656, grad_norm: 4.9387
2021-08-17 03:45:33,721 - mmdet - INFO - Epoch [9][1750/2217]	lr: 8.000e-04, eta: 4:05:20, time: 2.080, data_time: 0.054, memory: 20207, loss_cls: 0.2277, loss_offset: 0.5655, loss_depth: 0.5103, loss_size: 0.5096, loss_rotsin: 0.1967, loss_centerness: 0.5728, loss_velo: 0.0533, loss_dir: 0.3380, loss_attr: 0.1838, loss: 3.1577, grad_norm: 5.0741
2021-08-17 03:47:18,127 - mmdet - INFO - Epoch [9][1800/2217]	lr: 8.000e-04, eta: 4:03:37, time: 2.088, data_time: 0.054, memory: 20207, loss_cls: 0.2294, loss_offset: 0.5607, loss_depth: 0.5049, loss_size: 0.5410, loss_rotsin: 0.1951, loss_centerness: 0.5728, loss_velo: 0.0528, loss_dir: 0.3326, loss_attr: 0.1809, loss: 3.1701, grad_norm: 5.1332
2021-08-17 03:49:02,040 - mmdet - INFO - Epoch [9][1850/2217]	lr: 8.000e-04, eta: 4:01:54, time: 2.078, data_time: 0.053, memory: 20207, loss_cls: 0.2258, loss_offset: 0.5589, loss_depth: 0.5003, loss_size: 0.5250, loss_rotsin: 0.1914, loss_centerness: 0.5725, loss_velo: 0.0536, loss_dir: 0.3295, loss_attr: 0.1768, loss: 3.1338, grad_norm: 5.0570
2021-08-17 03:50:46,264 - mmdet - INFO - Epoch [9][1900/2217]	lr: 8.000e-04, eta: 4:00:10, time: 2.085, data_time: 0.056, memory: 20207, loss_cls: 0.2270, loss_offset: 0.5635, loss_depth: 0.5134, loss_size: 0.5228, loss_rotsin: 0.1948, loss_centerness: 0.5729, loss_velo: 0.0531, loss_dir: 0.3342, loss_attr: 0.1810, loss: 3.1627, grad_norm: 5.1277
2021-08-17 03:52:30,293 - mmdet - INFO - Epoch [9][1950/2217]	lr: 8.000e-04, eta: 3:58:27, time: 2.081, data_time: 0.052, memory: 20207, loss_cls: 0.2270, loss_offset: 0.5584, loss_depth: 0.5004, loss_size: 0.5268, loss_rotsin: 0.1934, loss_centerness: 0.5728, loss_velo: 0.0501, loss_dir: 0.3305, loss_attr: 0.1769, loss: 3.1364, grad_norm: 4.9950
2021-08-17 03:54:14,298 - mmdet - INFO - Epoch [9][2000/2217]	lr: 8.000e-04, eta: 3:56:44, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2241, loss_offset: 0.5606, loss_depth: 0.5018, loss_size: 0.5110, loss_rotsin: 0.1905, loss_centerness: 0.5725, loss_velo: 0.0542, loss_dir: 0.3336, loss_attr: 0.1733, loss: 3.1216, grad_norm: 4.9557
2021-08-17 03:55:58,620 - mmdet - INFO - Epoch [9][2050/2217]	lr: 8.000e-04, eta: 3:55:01, time: 2.086, data_time: 0.056, memory: 20207, loss_cls: 0.2275, loss_offset: 0.5693, loss_depth: 0.5114, loss_size: 0.5149, loss_rotsin: 0.1870, loss_centerness: 0.5730, loss_velo: 0.0542, loss_dir: 0.3271, loss_attr: 0.1732, loss: 3.1376, grad_norm: 5.0032
2021-08-17 03:57:43,516 - mmdet - INFO - Epoch [9][2100/2217]	lr: 8.000e-04, eta: 3:53:18, time: 2.098, data_time: 0.059, memory: 20207, loss_cls: 0.2263, loss_offset: 0.5651, loss_depth: 0.5170, loss_size: 0.5357, loss_rotsin: 0.1902, loss_centerness: 0.5729, loss_velo: 0.0523, loss_dir: 0.3266, loss_attr: 0.1738, loss: 3.1600, grad_norm: 4.9775
2021-08-17 03:59:27,533 - mmdet - INFO - Epoch [9][2150/2217]	lr: 8.000e-04, eta: 3:51:35, time: 2.080, data_time: 0.057, memory: 20207, loss_cls: 0.2254, loss_offset: 0.5593, loss_depth: 0.5010, loss_size: 0.5193, loss_rotsin: 0.1929, loss_centerness: 0.5726, loss_velo: 0.0531, loss_dir: 0.3276, loss_attr: 0.1853, loss: 3.1365, grad_norm: 5.0641
2021-08-17 04:01:11,541 - mmdet - INFO - Epoch [9][2200/2217]	lr: 8.000e-04, eta: 3:49:52, time: 2.080, data_time: 0.054, memory: 20207, loss_cls: 0.2260, loss_offset: 0.5653, loss_depth: 0.5105, loss_size: 0.5184, loss_rotsin: 0.1931, loss_centerness: 0.5731, loss_velo: 0.0515, loss_dir: 0.3337, loss_attr: 0.1802, loss: 3.1518, grad_norm: 4.9882
2021-08-17 04:01:47,393 - mmdet - INFO - Saving checkpoint at 9 epochs
2021-08-17 04:03:39,726 - mmdet - INFO - Epoch [10][50/2217]	lr: 8.000e-04, eta: 3:47:24, time: 2.226, data_time: 0.205, memory: 20207, loss_cls: 0.2266, loss_offset: 0.5613, loss_depth: 0.4955, loss_size: 0.5217, loss_rotsin: 0.1861, loss_centerness: 0.5729, loss_velo: 0.0525, loss_dir: 0.3218, loss_attr: 0.1653, loss: 3.1037, grad_norm: 4.8470
2021-08-17 04:05:23,782 - mmdet - INFO - Epoch [10][100/2217]	lr: 8.000e-04, eta: 3:45:41, time: 2.081, data_time: 0.045, memory: 20207, loss_cls: 0.2243, loss_offset: 0.5563, loss_depth: 0.4894, loss_size: 0.5107, loss_rotsin: 0.1943, loss_centerness: 0.5726, loss_velo: 0.0517, loss_dir: 0.3273, loss_attr: 0.1694, loss: 3.0961, grad_norm: 4.9161
2021-08-17 04:07:07,570 - mmdet - INFO - Epoch [10][150/2217]	lr: 8.000e-04, eta: 3:43:58, time: 2.076, data_time: 0.050, memory: 20207, loss_cls: 0.2261, loss_offset: 0.5611, loss_depth: 0.4907, loss_size: 0.5124, loss_rotsin: 0.1957, loss_centerness: 0.5729, loss_velo: 0.0539, loss_dir: 0.3289, loss_attr: 0.1639, loss: 3.1055, grad_norm: 5.1622
2021-08-17 04:08:51,586 - mmdet - INFO - Epoch [10][200/2217]	lr: 8.000e-04, eta: 3:42:14, time: 2.080, data_time: 0.048, memory: 20207, loss_cls: 0.2267, loss_offset: 0.5669, loss_depth: 0.4889, loss_size: 0.5160, loss_rotsin: 0.1969, loss_centerness: 0.5732, loss_velo: 0.0520, loss_dir: 0.3392, loss_attr: 0.1698, loss: 3.1296, grad_norm: 4.9529
2021-08-17 04:10:35,645 - mmdet - INFO - Epoch [10][250/2217]	lr: 8.000e-04, eta: 3:40:31, time: 2.081, data_time: 0.049, memory: 20207, loss_cls: 0.2273, loss_offset: 0.5637, loss_depth: 0.5016, loss_size: 0.5214, loss_rotsin: 0.1919, loss_centerness: 0.5727, loss_velo: 0.0531, loss_dir: 0.3264, loss_attr: 0.1687, loss: 3.1268, grad_norm: 5.1678
2021-08-17 04:12:19,523 - mmdet - INFO - Epoch [10][300/2217]	lr: 8.000e-04, eta: 3:38:48, time: 2.078, data_time: 0.050, memory: 20207, loss_cls: 0.2253, loss_offset: 0.5607, loss_depth: 0.4886, loss_size: 0.5175, loss_rotsin: 0.1935, loss_centerness: 0.5726, loss_velo: 0.0504, loss_dir: 0.3303, loss_attr: 0.1611, loss: 3.1001, grad_norm: 5.1948
2021-08-17 04:14:03,137 - mmdet - INFO - Epoch [10][350/2217]	lr: 8.000e-04, eta: 3:37:05, time: 2.072, data_time: 0.051, memory: 20207, loss_cls: 0.2248, loss_offset: 0.5602, loss_depth: 0.4950, loss_size: 0.5211, loss_rotsin: 0.1930, loss_centerness: 0.5726, loss_velo: 0.0537, loss_dir: 0.3280, loss_attr: 0.1629, loss: 3.1112, grad_norm: 5.1936
2021-08-17 04:15:46,747 - mmdet - INFO - Epoch [10][400/2217]	lr: 8.000e-04, eta: 3:35:22, time: 2.072, data_time: 0.051, memory: 20207, loss_cls: 0.2258, loss_offset: 0.5565, loss_depth: 0.4925, loss_size: 0.5027, loss_rotsin: 0.1905, loss_centerness: 0.5724, loss_velo: 0.0542, loss_dir: 0.3227, loss_attr: 0.1674, loss: 3.0848, grad_norm: 5.0596
2021-08-17 04:17:30,323 - mmdet - INFO - Epoch [10][450/2217]	lr: 8.000e-04, eta: 3:33:38, time: 2.072, data_time: 0.050, memory: 20207, loss_cls: 0.2240, loss_offset: 0.5618, loss_depth: 0.4962, loss_size: 0.5071, loss_rotsin: 0.1902, loss_centerness: 0.5730, loss_velo: 0.0526, loss_dir: 0.3313, loss_attr: 0.1656, loss: 3.1020, grad_norm: 5.0064
2021-08-17 04:19:14,358 - mmdet - INFO - Epoch [10][500/2217]	lr: 8.000e-04, eta: 3:31:55, time: 2.081, data_time: 0.050, memory: 20207, loss_cls: 0.2226, loss_offset: 0.5577, loss_depth: 0.4848, loss_size: 0.5012, loss_rotsin: 0.1834, loss_centerness: 0.5728, loss_velo: 0.0522, loss_dir: 0.3216, loss_attr: 0.1725, loss: 3.0687, grad_norm: 4.8804
2021-08-17 04:20:57,849 - mmdet - INFO - Epoch [10][550/2217]	lr: 8.000e-04, eta: 3:30:12, time: 2.070, data_time: 0.051, memory: 20207, loss_cls: 0.2263, loss_offset: 0.5607, loss_depth: 0.4960, loss_size: 0.5205, loss_rotsin: 0.1880, loss_centerness: 0.5730, loss_velo: 0.0506, loss_dir: 0.3262, loss_attr: 0.1692, loss: 3.1104, grad_norm: 5.5745
2021-08-17 04:22:41,905 - mmdet - INFO - Epoch [10][600/2217]	lr: 8.000e-04, eta: 3:28:29, time: 2.081, data_time: 0.050, memory: 20207, loss_cls: 0.2272, loss_offset: 0.5621, loss_depth: 0.4901, loss_size: 0.5123, loss_rotsin: 0.1892, loss_centerness: 0.5728, loss_velo: 0.0537, loss_dir: 0.3178, loss_attr: 0.1654, loss: 3.0906, grad_norm: 5.2152
2021-08-17 04:24:25,471 - mmdet - INFO - Epoch [10][650/2217]	lr: 8.000e-04, eta: 3:26:45, time: 2.071, data_time: 0.051, memory: 20207, loss_cls: 0.2259, loss_offset: 0.5615, loss_depth: 0.4946, loss_size: 0.5072, loss_rotsin: 0.1900, loss_centerness: 0.5728, loss_velo: 0.0529, loss_dir: 0.3201, loss_attr: 0.1726, loss: 3.0974, grad_norm: 5.1246
2021-08-17 04:26:09,576 - mmdet - INFO - Epoch [10][700/2217]	lr: 8.000e-04, eta: 3:25:02, time: 2.082, data_time: 0.052, memory: 20207, loss_cls: 0.2255, loss_offset: 0.5600, loss_depth: 0.4904, loss_size: 0.5164, loss_rotsin: 0.1887, loss_centerness: 0.5728, loss_velo: 0.0527, loss_dir: 0.3261, loss_attr: 0.1637, loss: 3.0964, grad_norm: 5.0904
2021-08-17 04:27:53,228 - mmdet - INFO - Epoch [10][750/2217]	lr: 8.000e-04, eta: 3:23:19, time: 2.073, data_time: 0.052, memory: 20207, loss_cls: 0.2212, loss_offset: 0.5566, loss_depth: 0.4725, loss_size: 0.4954, loss_rotsin: 0.1904, loss_centerness: 0.5727, loss_velo: 0.0516, loss_dir: 0.3196, loss_attr: 0.1624, loss: 3.0425, grad_norm: 4.9578
2021-08-17 04:29:37,205 - mmdet - INFO - Epoch [10][800/2217]	lr: 8.000e-04, eta: 3:21:36, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2235, loss_offset: 0.5561, loss_depth: 0.4886, loss_size: 0.5122, loss_rotsin: 0.1928, loss_centerness: 0.5727, loss_velo: 0.0525, loss_dir: 0.3277, loss_attr: 0.1643, loss: 3.0902, grad_norm: 5.1611
2021-08-17 04:31:20,936 - mmdet - INFO - Epoch [10][850/2217]	lr: 8.000e-04, eta: 3:19:52, time: 2.075, data_time: 0.053, memory: 20207, loss_cls: 0.2264, loss_offset: 0.5588, loss_depth: 0.4971, loss_size: 0.5259, loss_rotsin: 0.1855, loss_centerness: 0.5723, loss_velo: 0.0547, loss_dir: 0.3276, loss_attr: 0.1668, loss: 3.1152, grad_norm: 5.4209
2021-08-17 04:33:03,967 - mmdet - INFO - Epoch [10][900/2217]	lr: 8.000e-04, eta: 3:18:09, time: 2.061, data_time: 0.051, memory: 20207, loss_cls: 0.2236, loss_offset: 0.5555, loss_depth: 0.4884, loss_size: 0.5142, loss_rotsin: 0.1872, loss_centerness: 0.5726, loss_velo: 0.0521, loss_dir: 0.3216, loss_attr: 0.1659, loss: 3.0811, grad_norm: 4.9570
2021-08-17 04:34:47,406 - mmdet - INFO - Epoch [10][950/2217]	lr: 8.000e-04, eta: 3:16:26, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2237, loss_offset: 0.5482, loss_depth: 0.4959, loss_size: 0.5007, loss_rotsin: 0.1825, loss_centerness: 0.5720, loss_velo: 0.0526, loss_dir: 0.3126, loss_attr: 0.1645, loss: 3.0527, grad_norm: 5.2515
2021-08-17 04:36:30,613 - mmdet - INFO - Epoch [10][1000/2217]	lr: 8.000e-04, eta: 3:14:42, time: 2.064, data_time: 0.054, memory: 20207, loss_cls: 0.2267, loss_offset: 0.5591, loss_depth: 0.4925, loss_size: 0.5163, loss_rotsin: 0.1913, loss_centerness: 0.5728, loss_velo: 0.0533, loss_dir: 0.3249, loss_attr: 0.1681, loss: 3.1050, grad_norm: 5.1713
2021-08-17 04:38:14,316 - mmdet - INFO - Epoch [10][1050/2217]	lr: 8.000e-04, eta: 3:12:59, time: 2.074, data_time: 0.055, memory: 20207, loss_cls: 0.2225, loss_offset: 0.5523, loss_depth: 0.4777, loss_size: 0.5125, loss_rotsin: 0.1866, loss_centerness: 0.5724, loss_velo: 0.0510, loss_dir: 0.3171, loss_attr: 0.1651, loss: 3.0571, grad_norm: 5.0123
2021-08-17 04:39:58,851 - mmdet - INFO - Epoch [10][1100/2217]	lr: 8.000e-04, eta: 3:11:16, time: 2.091, data_time: 0.051, memory: 20207, loss_cls: 0.2223, loss_offset: 0.5529, loss_depth: 0.4982, loss_size: 0.5227, loss_rotsin: 0.1880, loss_centerness: 0.5725, loss_velo: 0.0540, loss_dir: 0.3288, loss_attr: 0.1559, loss: 3.0954, grad_norm: 5.1739
2021-08-17 04:41:44,242 - mmdet - INFO - Epoch [10][1150/2217]	lr: 8.000e-04, eta: 3:09:33, time: 2.108, data_time: 0.053, memory: 20207, loss_cls: 0.2274, loss_offset: 0.5631, loss_depth: 0.5054, loss_size: 0.5186, loss_rotsin: 0.1819, loss_centerness: 0.5728, loss_velo: 0.0547, loss_dir: 0.3229, loss_attr: 0.1670, loss: 3.1138, grad_norm: 5.1961
2021-08-17 04:43:28,701 - mmdet - INFO - Epoch [10][1200/2217]	lr: 8.000e-04, eta: 3:07:50, time: 2.089, data_time: 0.050, memory: 20207, loss_cls: 0.2267, loss_offset: 0.5611, loss_depth: 0.4938, loss_size: 0.5258, loss_rotsin: 0.1899, loss_centerness: 0.5725, loss_velo: 0.0527, loss_dir: 0.3313, loss_attr: 0.1679, loss: 3.1217, grad_norm: 4.9739
2021-08-17 04:45:12,759 - mmdet - INFO - Epoch [10][1250/2217]	lr: 8.000e-04, eta: 3:06:07, time: 2.081, data_time: 0.048, memory: 20207, loss_cls: 0.2247, loss_offset: 0.5552, loss_depth: 0.4957, loss_size: 0.5177, loss_rotsin: 0.1897, loss_centerness: 0.5722, loss_velo: 0.0536, loss_dir: 0.3271, loss_attr: 0.1683, loss: 3.1041, grad_norm: 5.0960
2021-08-17 04:46:57,230 - mmdet - INFO - Epoch [10][1300/2217]	lr: 8.000e-04, eta: 3:04:24, time: 2.089, data_time: 0.048, memory: 20207, loss_cls: 0.2249, loss_offset: 0.5585, loss_depth: 0.4922, loss_size: 0.4990, loss_rotsin: 0.1868, loss_centerness: 0.5726, loss_velo: 0.0526, loss_dir: 0.3244, loss_attr: 0.1562, loss: 3.0672, grad_norm: 5.1050
2021-08-17 04:48:41,456 - mmdet - INFO - Epoch [10][1350/2217]	lr: 8.000e-04, eta: 3:02:40, time: 2.084, data_time: 0.049, memory: 20207, loss_cls: 0.2242, loss_offset: 0.5518, loss_depth: 0.4842, loss_size: 0.5050, loss_rotsin: 0.1879, loss_centerness: 0.5723, loss_velo: 0.0521, loss_dir: 0.3230, loss_attr: 0.1680, loss: 3.0684, grad_norm: 5.2450
2021-08-17 04:50:25,863 - mmdet - INFO - Epoch [10][1400/2217]	lr: 8.000e-04, eta: 3:00:57, time: 2.088, data_time: 0.049, memory: 20207, loss_cls: 0.2223, loss_offset: 0.5543, loss_depth: 0.4817, loss_size: 0.5080, loss_rotsin: 0.1865, loss_centerness: 0.5722, loss_velo: 0.0541, loss_dir: 0.3175, loss_attr: 0.1632, loss: 3.0598, grad_norm: 5.2621
2021-08-17 04:52:10,549 - mmdet - INFO - Epoch [10][1450/2217]	lr: 8.000e-04, eta: 2:59:14, time: 2.094, data_time: 0.054, memory: 20207, loss_cls: 0.2247, loss_offset: 0.5580, loss_depth: 0.4881, loss_size: 0.5026, loss_rotsin: 0.1857, loss_centerness: 0.5726, loss_velo: 0.0520, loss_dir: 0.3225, loss_attr: 0.1592, loss: 3.0654, grad_norm: 5.1867
2021-08-17 04:53:55,655 - mmdet - INFO - Epoch [10][1500/2217]	lr: 8.000e-04, eta: 2:57:31, time: 2.102, data_time: 0.054, memory: 20207, loss_cls: 0.2251, loss_offset: 0.5632, loss_depth: 0.4920, loss_size: 0.5148, loss_rotsin: 0.1892, loss_centerness: 0.5729, loss_velo: 0.0512, loss_dir: 0.3206, loss_attr: 0.1677, loss: 3.0967, grad_norm: 5.0606
2021-08-17 04:55:39,936 - mmdet - INFO - Epoch [10][1550/2217]	lr: 8.000e-04, eta: 2:55:48, time: 2.086, data_time: 0.056, memory: 20207, loss_cls: 0.2232, loss_offset: 0.5617, loss_depth: 0.4908, loss_size: 0.5067, loss_rotsin: 0.1899, loss_centerness: 0.5731, loss_velo: 0.0541, loss_dir: 0.3249, loss_attr: 0.1629, loss: 3.0874, grad_norm: 5.2377
2021-08-17 04:57:24,580 - mmdet - INFO - Epoch [10][1600/2217]	lr: 8.000e-04, eta: 2:54:05, time: 2.093, data_time: 0.053, memory: 20207, loss_cls: 0.2257, loss_offset: 0.5579, loss_depth: 0.4838, loss_size: 0.5127, loss_rotsin: 0.1852, loss_centerness: 0.5721, loss_velo: 0.0522, loss_dir: 0.3245, loss_attr: 0.1687, loss: 3.0828, grad_norm: 5.1252
2021-08-17 04:59:09,275 - mmdet - INFO - Epoch [10][1650/2217]	lr: 8.000e-04, eta: 2:52:22, time: 2.094, data_time: 0.050, memory: 20207, loss_cls: 0.2226, loss_offset: 0.5473, loss_depth: 0.4847, loss_size: 0.4989, loss_rotsin: 0.1819, loss_centerness: 0.5718, loss_velo: 0.0551, loss_dir: 0.3122, loss_attr: 0.1640, loss: 3.0386, grad_norm: 5.1293
2021-08-17 05:00:53,615 - mmdet - INFO - Epoch [10][1700/2217]	lr: 8.000e-04, eta: 2:50:39, time: 2.087, data_time: 0.054, memory: 20207, loss_cls: 0.2224, loss_offset: 0.5510, loss_depth: 0.4884, loss_size: 0.4965, loss_rotsin: 0.1881, loss_centerness: 0.5724, loss_velo: 0.0517, loss_dir: 0.3191, loss_attr: 0.1575, loss: 3.0472, grad_norm: 5.2911
2021-08-17 05:02:38,067 - mmdet - INFO - Epoch [10][1750/2217]	lr: 8.000e-04, eta: 2:48:56, time: 2.089, data_time: 0.059, memory: 20207, loss_cls: 0.2234, loss_offset: 0.5543, loss_depth: 0.4844, loss_size: 0.5055, loss_rotsin: 0.1857, loss_centerness: 0.5725, loss_velo: 0.0543, loss_dir: 0.3185, loss_attr: 0.1551, loss: 3.0538, grad_norm: 5.3995
2021-08-17 05:04:21,949 - mmdet - INFO - Epoch [10][1800/2217]	lr: 8.000e-04, eta: 2:47:12, time: 2.078, data_time: 0.052, memory: 20207, loss_cls: 0.2235, loss_offset: 0.5577, loss_depth: 0.4938, loss_size: 0.5000, loss_rotsin: 0.1874, loss_centerness: 0.5724, loss_velo: 0.0534, loss_dir: 0.3246, loss_attr: 0.1642, loss: 3.0769, grad_norm: 5.4267
2021-08-17 05:06:06,077 - mmdet - INFO - Epoch [10][1850/2217]	lr: 8.000e-04, eta: 2:45:29, time: 2.083, data_time: 0.054, memory: 20207, loss_cls: 0.2228, loss_offset: 0.5511, loss_depth: 0.4806, loss_size: 0.5009, loss_rotsin: 0.1840, loss_centerness: 0.5723, loss_velo: 0.0519, loss_dir: 0.3206, loss_attr: 0.1619, loss: 3.0461, grad_norm: 5.2240
2021-08-17 05:07:50,026 - mmdet - INFO - Epoch [10][1900/2217]	lr: 8.000e-04, eta: 2:43:46, time: 2.079, data_time: 0.054, memory: 20207, loss_cls: 0.2229, loss_offset: 0.5544, loss_depth: 0.4856, loss_size: 0.5032, loss_rotsin: 0.1842, loss_centerness: 0.5725, loss_velo: 0.0528, loss_dir: 0.3212, loss_attr: 0.1660, loss: 3.0628, grad_norm: 5.1331
2021-08-17 05:09:34,054 - mmdet - INFO - Epoch [10][1950/2217]	lr: 8.000e-04, eta: 2:42:02, time: 2.081, data_time: 0.057, memory: 20207, loss_cls: 0.2227, loss_offset: 0.5482, loss_depth: 0.4806, loss_size: 0.5098, loss_rotsin: 0.1874, loss_centerness: 0.5719, loss_velo: 0.0520, loss_dir: 0.3228, loss_attr: 0.1609, loss: 3.0563, grad_norm: 5.2169
2021-08-17 05:11:18,234 - mmdet - INFO - Epoch [10][2000/2217]	lr: 8.000e-04, eta: 2:40:19, time: 2.084, data_time: 0.053, memory: 20207, loss_cls: 0.2246, loss_offset: 0.5542, loss_depth: 0.4894, loss_size: 0.5059, loss_rotsin: 0.1877, loss_centerness: 0.5725, loss_velo: 0.0515, loss_dir: 0.3254, loss_attr: 0.1633, loss: 3.0745, grad_norm: 5.2800
2021-08-17 05:13:02,290 - mmdet - INFO - Epoch [10][2050/2217]	lr: 8.000e-04, eta: 2:38:36, time: 2.081, data_time: 0.053, memory: 20207, loss_cls: 0.2248, loss_offset: 0.5587, loss_depth: 0.4891, loss_size: 0.5189, loss_rotsin: 0.1896, loss_centerness: 0.5726, loss_velo: 0.0529, loss_dir: 0.3193, loss_attr: 0.1629, loss: 3.0888, grad_norm: 5.1962
2021-08-17 05:14:46,507 - mmdet - INFO - Epoch [10][2100/2217]	lr: 8.000e-04, eta: 2:36:53, time: 2.084, data_time: 0.055, memory: 20207, loss_cls: 0.2202, loss_offset: 0.5494, loss_depth: 0.4764, loss_size: 0.4965, loss_rotsin: 0.1835, loss_centerness: 0.5722, loss_velo: 0.0516, loss_dir: 0.3205, loss_attr: 0.1666, loss: 3.0368, grad_norm: 5.2440
2021-08-17 05:16:30,768 - mmdet - INFO - Epoch [10][2150/2217]	lr: 8.000e-04, eta: 2:35:09, time: 2.085, data_time: 0.057, memory: 20207, loss_cls: 0.2219, loss_offset: 0.5494, loss_depth: 0.4767, loss_size: 0.4950, loss_rotsin: 0.1872, loss_centerness: 0.5720, loss_velo: 0.0539, loss_dir: 0.3204, loss_attr: 0.1639, loss: 3.0405, grad_norm: 5.1361
2021-08-17 05:18:14,670 - mmdet - INFO - Epoch [10][2200/2217]	lr: 8.000e-04, eta: 2:33:26, time: 2.078, data_time: 0.054, memory: 20207, loss_cls: 0.2228, loss_offset: 0.5555, loss_depth: 0.4829, loss_size: 0.4958, loss_rotsin: 0.1931, loss_centerness: 0.5727, loss_velo: 0.0510, loss_dir: 0.3319, loss_attr: 0.1759, loss: 3.0815, grad_norm: 5.3329
2021-08-17 06:06:26,503 - mmdet - INFO - Saving checkpoint at 10 epochs
2021-08-17 06:06:27,518 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-17 06:06:27,518 - mmdet - INFO - Epoch(val) [10][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0500, img_bbox_NuScenes/car_AP_dist_1.0: 0.2410, img_bbox_NuScenes/car_AP_dist_2.0: 0.5313, img_bbox_NuScenes/car_AP_dist_4.0: 0.7249, img_bbox_NuScenes/car_trans_err: 0.7178, img_bbox_NuScenes/car_scale_err: 0.1559, img_bbox_NuScenes/car_orient_err: 0.1621, img_bbox_NuScenes/car_vel_err: 2.0770, img_bbox_NuScenes/car_attr_err: 0.1398, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0000, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0239, img_bbox_NuScenes/truck_AP_dist_2.0: 0.1283, img_bbox_NuScenes/truck_AP_dist_4.0: 0.3040, img_bbox_NuScenes/truck_trans_err: 0.9243, img_bbox_NuScenes/truck_scale_err: 0.2258, img_bbox_NuScenes/truck_orient_err: 0.3104, img_bbox_NuScenes/truck_vel_err: 1.3381, img_bbox_NuScenes/truck_attr_err: 0.1728, img_bbox_NuScenes/trailer_AP_dist_0.5: 0.0000, img_bbox_NuScenes/trailer_AP_dist_1.0: 0.0000, img_bbox_NuScenes/trailer_AP_dist_2.0: 0.0250, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.1671, img_bbox_NuScenes/trailer_trans_err: 1.2597, img_bbox_NuScenes/trailer_scale_err: 0.2294, img_bbox_NuScenes/trailer_orient_err: 0.8756, img_bbox_NuScenes/trailer_vel_err: 0.4204, img_bbox_NuScenes/trailer_attr_err: 0.0672, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0000, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0237, img_bbox_NuScenes/bus_AP_dist_2.0: 0.1921, img_bbox_NuScenes/bus_AP_dist_4.0: 0.4043, img_bbox_NuScenes/bus_trans_err: 0.9942, img_bbox_NuScenes/bus_scale_err: 0.2052, img_bbox_NuScenes/bus_orient_err: 0.3505, img_bbox_NuScenes/bus_vel_err: 3.1261, img_bbox_NuScenes/bus_attr_err: 0.3210, img_bbox_NuScenes/construction_vehicle_AP_dist_0.5: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_1.0: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_2.0: 0.0077, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.0522, img_bbox_NuScenes/construction_vehicle_trans_err: 1.1353, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4909, img_bbox_NuScenes/construction_vehicle_orient_err: 1.2521, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1211, img_bbox_NuScenes/construction_vehicle_attr_err: 0.3401, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0015, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.0374, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.1252, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.2001, img_bbox_NuScenes/bicycle_trans_err: 0.8509, img_bbox_NuScenes/bicycle_scale_err: 0.3158, img_bbox_NuScenes/bicycle_orient_err: 1.3586, img_bbox_NuScenes/bicycle_vel_err: 0.9230, img_bbox_NuScenes/bicycle_attr_err: 0.0362, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0047, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.0684, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.1856, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.3041, img_bbox_NuScenes/motorcycle_trans_err: 0.8853, img_bbox_NuScenes/motorcycle_scale_err: 0.2683, img_bbox_NuScenes/motorcycle_orient_err: 1.0375, img_bbox_NuScenes/motorcycle_vel_err: 1.8464, img_bbox_NuScenes/motorcycle_attr_err: 0.1044, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0315, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.1665, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.3737, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.5538, img_bbox_NuScenes/pedestrian_trans_err: 0.7711, img_bbox_NuScenes/pedestrian_scale_err: 0.2935, img_bbox_NuScenes/pedestrian_orient_err: 1.2284, img_bbox_NuScenes/pedestrian_vel_err: 0.9347, img_bbox_NuScenes/pedestrian_attr_err: 0.1959, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1276, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.3508, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.5588, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.6772, img_bbox_NuScenes/traffic_cone_trans_err: 0.6350, img_bbox_NuScenes/traffic_cone_scale_err: 0.3293, img_bbox_NuScenes/traffic_cone_orient_err: nan, img_bbox_NuScenes/traffic_cone_vel_err: nan, img_bbox_NuScenes/traffic_cone_attr_err: nan, img_bbox_NuScenes/barrier_AP_dist_0.5: 0.0676, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.2850, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5010, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.5848, img_bbox_NuScenes/barrier_trans_err: 0.6975, img_bbox_NuScenes/barrier_scale_err: 0.2727, img_bbox_NuScenes/barrier_orient_err: 0.2183, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.2917, img_bbox_NuScenes/mAP: 0.2020
2021-08-17 06:08:18,392 - mmdet - INFO - Epoch [11][50/2217]	lr: 8.000e-04, eta: 2:31:02, time: 2.215, data_time: 0.198, memory: 20207, loss_cls: 0.2195, loss_offset: 0.5471, loss_depth: 0.4690, loss_size: 0.4901, loss_rotsin: 0.1791, loss_centerness: 0.5726, loss_velo: 0.0521, loss_dir: 0.3144, loss_attr: 0.1533, loss: 2.9972, grad_norm: 5.2187
2021-08-17 06:10:02,992 - mmdet - INFO - Epoch [11][100/2217]	lr: 8.000e-04, eta: 2:29:19, time: 2.092, data_time: 0.058, memory: 20207, loss_cls: 0.2220, loss_offset: 0.5448, loss_depth: 0.4747, loss_size: 0.4964, loss_rotsin: 0.1822, loss_centerness: 0.5718, loss_velo: 0.0537, loss_dir: 0.3089, loss_attr: 0.1571, loss: 3.0116, grad_norm: 5.2921
2021-08-17 06:11:47,369 - mmdet - INFO - Epoch [11][150/2217]	lr: 8.000e-04, eta: 2:27:36, time: 2.088, data_time: 0.059, memory: 20207, loss_cls: 0.2237, loss_offset: 0.5455, loss_depth: 0.4824, loss_size: 0.4998, loss_rotsin: 0.1813, loss_centerness: 0.5720, loss_velo: 0.0553, loss_dir: 0.3079, loss_attr: 0.1555, loss: 3.0233, grad_norm: 5.2363
2021-08-17 06:13:32,222 - mmdet - INFO - Epoch [11][200/2217]	lr: 8.000e-04, eta: 2:25:53, time: 2.097, data_time: 0.057, memory: 20207, loss_cls: 0.2224, loss_offset: 0.5528, loss_depth: 0.4646, loss_size: 0.4947, loss_rotsin: 0.1866, loss_centerness: 0.5725, loss_velo: 0.0513, loss_dir: 0.3162, loss_attr: 0.1645, loss: 3.0257, grad_norm: 5.1234
2021-08-17 06:15:17,057 - mmdet - INFO - Epoch [11][250/2217]	lr: 8.000e-04, eta: 2:24:10, time: 2.097, data_time: 0.055, memory: 20207, loss_cls: 0.2213, loss_offset: 0.5460, loss_depth: 0.4749, loss_size: 0.4910, loss_rotsin: 0.1828, loss_centerness: 0.5722, loss_velo: 0.0517, loss_dir: 0.3096, loss_attr: 0.1444, loss: 2.9938, grad_norm: 5.2300
2021-08-17 06:17:01,738 - mmdet - INFO - Epoch [11][300/2217]	lr: 8.000e-04, eta: 2:22:26, time: 2.094, data_time: 0.055, memory: 20207, loss_cls: 0.2211, loss_offset: 0.5525, loss_depth: 0.4852, loss_size: 0.4963, loss_rotsin: 0.1863, loss_centerness: 0.5726, loss_velo: 0.0539, loss_dir: 0.3111, loss_attr: 0.1532, loss: 3.0322, grad_norm: 5.5696
2021-08-17 06:18:46,110 - mmdet - INFO - Epoch [11][350/2217]	lr: 8.000e-04, eta: 2:20:43, time: 2.087, data_time: 0.057, memory: 20207, loss_cls: 0.2213, loss_offset: 0.5464, loss_depth: 0.4702, loss_size: 0.4842, loss_rotsin: 0.1876, loss_centerness: 0.5722, loss_velo: 0.0529, loss_dir: 0.3100, loss_attr: 0.1475, loss: 2.9923, grad_norm: 5.0489
2021-08-17 06:20:30,308 - mmdet - INFO - Epoch [11][400/2217]	lr: 8.000e-04, eta: 2:19:00, time: 2.084, data_time: 0.052, memory: 20207, loss_cls: 0.2219, loss_offset: 0.5530, loss_depth: 0.4692, loss_size: 0.5027, loss_rotsin: 0.1900, loss_centerness: 0.5722, loss_velo: 0.0505, loss_dir: 0.3232, loss_attr: 0.1424, loss: 3.0251, grad_norm: 5.1470
2021-08-17 06:22:14,649 - mmdet - INFO - Epoch [11][450/2217]	lr: 8.000e-04, eta: 2:17:17, time: 2.087, data_time: 0.055, memory: 20207, loss_cls: 0.2202, loss_offset: 0.5455, loss_depth: 0.4719, loss_size: 0.4904, loss_rotsin: 0.1823, loss_centerness: 0.5717, loss_velo: 0.0524, loss_dir: 0.3080, loss_attr: 0.1466, loss: 2.9889, grad_norm: 5.3071
2021-08-17 06:23:58,829 - mmdet - INFO - Epoch [11][500/2217]	lr: 8.000e-04, eta: 2:15:34, time: 2.084, data_time: 0.053, memory: 20207, loss_cls: 0.2202, loss_offset: 0.5473, loss_depth: 0.4663, loss_size: 0.4842, loss_rotsin: 0.1811, loss_centerness: 0.5721, loss_velo: 0.0533, loss_dir: 0.3118, loss_attr: 0.1454, loss: 2.9816, grad_norm: 5.2934
2021-08-17 06:25:43,134 - mmdet - INFO - Epoch [11][550/2217]	lr: 8.000e-04, eta: 2:13:50, time: 2.086, data_time: 0.058, memory: 20207, loss_cls: 0.2225, loss_offset: 0.5586, loss_depth: 0.4881, loss_size: 0.4975, loss_rotsin: 0.1912, loss_centerness: 0.5726, loss_velo: 0.0514, loss_dir: 0.3180, loss_attr: 0.1555, loss: 3.0556, grad_norm: 5.2225
2021-08-17 06:27:27,491 - mmdet - INFO - Epoch [11][600/2217]	lr: 8.000e-04, eta: 2:12:07, time: 2.087, data_time: 0.052, memory: 20207, loss_cls: 0.2229, loss_offset: 0.5550, loss_depth: 0.4832, loss_size: 0.5019, loss_rotsin: 0.1862, loss_centerness: 0.5724, loss_velo: 0.0514, loss_dir: 0.3164, loss_attr: 0.1546, loss: 3.0440, grad_norm: 5.4350
2021-08-17 06:29:11,718 - mmdet - INFO - Epoch [11][650/2217]	lr: 8.000e-04, eta: 2:10:24, time: 2.084, data_time: 0.051, memory: 20207, loss_cls: 0.2195, loss_offset: 0.5456, loss_depth: 0.4739, loss_size: 0.4929, loss_rotsin: 0.1863, loss_centerness: 0.5720, loss_velo: 0.0498, loss_dir: 0.3130, loss_attr: 0.1585, loss: 3.0116, grad_norm: 5.3432
2021-08-17 06:30:56,429 - mmdet - INFO - Epoch [11][700/2217]	lr: 8.000e-04, eta: 2:08:41, time: 2.094, data_time: 0.052, memory: 20207, loss_cls: 0.2220, loss_offset: 0.5637, loss_depth: 0.4705, loss_size: 0.4922, loss_rotsin: 0.1860, loss_centerness: 0.5729, loss_velo: 0.0521, loss_dir: 0.3137, loss_attr: 0.1514, loss: 3.0245, grad_norm: 5.1188
2021-08-17 06:32:41,669 - mmdet - INFO - Epoch [11][750/2217]	lr: 8.000e-04, eta: 2:06:58, time: 2.105, data_time: 0.055, memory: 20207, loss_cls: 0.2233, loss_offset: 0.5567, loss_depth: 0.4694, loss_size: 0.5069, loss_rotsin: 0.1858, loss_centerness: 0.5726, loss_velo: 0.0538, loss_dir: 0.3181, loss_attr: 0.1508, loss: 3.0374, grad_norm: 5.1810
2021-08-17 06:34:26,784 - mmdet - INFO - Epoch [11][800/2217]	lr: 8.000e-04, eta: 2:05:14, time: 2.102, data_time: 0.051, memory: 20207, loss_cls: 0.2254, loss_offset: 0.5572, loss_depth: 0.4791, loss_size: 0.5160, loss_rotsin: 0.1841, loss_centerness: 0.5725, loss_velo: 0.0532, loss_dir: 0.3073, loss_attr: 0.1590, loss: 3.0537, grad_norm: 5.2291
2021-08-17 06:36:12,107 - mmdet - INFO - Epoch [11][850/2217]	lr: 8.000e-04, eta: 2:03:31, time: 2.106, data_time: 0.051, memory: 20207, loss_cls: 0.2240, loss_offset: 0.5533, loss_depth: 0.4769, loss_size: 0.5016, loss_rotsin: 0.1840, loss_centerness: 0.5724, loss_velo: 0.0536, loss_dir: 0.3157, loss_attr: 0.1567, loss: 3.0382, grad_norm: 5.2970
2021-08-17 06:37:57,466 - mmdet - INFO - Epoch [11][900/2217]	lr: 8.000e-04, eta: 2:01:48, time: 2.107, data_time: 0.052, memory: 20207, loss_cls: 0.2220, loss_offset: 0.5503, loss_depth: 0.4662, loss_size: 0.5026, loss_rotsin: 0.1866, loss_centerness: 0.5726, loss_velo: 0.0522, loss_dir: 0.3172, loss_attr: 0.1549, loss: 3.0245, grad_norm: 5.3397
2021-08-17 06:39:42,269 - mmdet - INFO - Epoch [11][950/2217]	lr: 8.000e-04, eta: 2:00:05, time: 2.096, data_time: 0.051, memory: 20207, loss_cls: 0.2216, loss_offset: 0.5446, loss_depth: 0.4685, loss_size: 0.4938, loss_rotsin: 0.1811, loss_centerness: 0.5718, loss_velo: 0.0541, loss_dir: 0.3117, loss_attr: 0.1548, loss: 3.0021, grad_norm: 5.2003
2021-08-17 06:41:27,284 - mmdet - INFO - Epoch [11][1000/2217]	lr: 8.000e-04, eta: 1:58:22, time: 2.100, data_time: 0.052, memory: 20207, loss_cls: 0.2230, loss_offset: 0.5491, loss_depth: 0.4792, loss_size: 0.5125, loss_rotsin: 0.1852, loss_centerness: 0.5721, loss_velo: 0.0531, loss_dir: 0.3113, loss_attr: 0.1584, loss: 3.0439, grad_norm: 5.2943
2021-08-17 06:43:12,450 - mmdet - INFO - Epoch [11][1050/2217]	lr: 8.000e-04, eta: 1:56:39, time: 2.103, data_time: 0.052, memory: 20207, loss_cls: 0.2232, loss_offset: 0.5566, loss_depth: 0.4765, loss_size: 0.5112, loss_rotsin: 0.1864, loss_centerness: 0.5730, loss_velo: 0.0525, loss_dir: 0.3166, loss_attr: 0.1590, loss: 3.0551, grad_norm: 5.2651
2021-08-17 06:44:57,343 - mmdet - INFO - Epoch [11][1100/2217]	lr: 8.000e-04, eta: 1:54:56, time: 2.098, data_time: 0.057, memory: 20207, loss_cls: 0.2188, loss_offset: 0.5411, loss_depth: 0.4707, loss_size: 0.4906, loss_rotsin: 0.1754, loss_centerness: 0.5717, loss_velo: 0.0537, loss_dir: 0.3046, loss_attr: 0.1451, loss: 2.9717, grad_norm: 5.5274
2021-08-17 06:46:42,411 - mmdet - INFO - Epoch [11][1150/2217]	lr: 8.000e-04, eta: 1:53:12, time: 2.101, data_time: 0.054, memory: 20207, loss_cls: 0.2206, loss_offset: 0.5520, loss_depth: 0.4821, loss_size: 0.4978, loss_rotsin: 0.1841, loss_centerness: 0.5720, loss_velo: 0.0522, loss_dir: 0.3117, loss_attr: 0.1569, loss: 3.0292, grad_norm: 5.2188
2021-08-17 06:48:27,462 - mmdet - INFO - Epoch [11][1200/2217]	lr: 8.000e-04, eta: 1:51:29, time: 2.101, data_time: 0.053, memory: 20207, loss_cls: 0.2208, loss_offset: 0.5549, loss_depth: 0.4851, loss_size: 0.5040, loss_rotsin: 0.1892, loss_centerness: 0.5726, loss_velo: 0.0511, loss_dir: 0.3106, loss_attr: 0.1483, loss: 3.0366, grad_norm: 5.3569
2021-08-17 06:50:13,043 - mmdet - INFO - Epoch [11][1250/2217]	lr: 8.000e-04, eta: 1:49:46, time: 2.112, data_time: 0.061, memory: 20207, loss_cls: 0.2218, loss_offset: 0.5500, loss_depth: 0.4771, loss_size: 0.5013, loss_rotsin: 0.1841, loss_centerness: 0.5723, loss_velo: 0.0529, loss_dir: 0.3113, loss_attr: 0.1520, loss: 3.0229, grad_norm: 5.2648
2021-08-17 06:51:57,801 - mmdet - INFO - Epoch [11][1300/2217]	lr: 8.000e-04, eta: 1:48:03, time: 2.095, data_time: 0.051, memory: 20207, loss_cls: 0.2233, loss_offset: 0.5568, loss_depth: 0.4751, loss_size: 0.5036, loss_rotsin: 0.1835, loss_centerness: 0.5726, loss_velo: 0.0529, loss_dir: 0.3145, loss_attr: 0.1534, loss: 3.0357, grad_norm: 5.5166
2021-08-17 06:53:42,034 - mmdet - INFO - Epoch [11][1350/2217]	lr: 8.000e-04, eta: 1:46:19, time: 2.085, data_time: 0.055, memory: 20207, loss_cls: 0.2202, loss_offset: 0.5461, loss_depth: 0.4672, loss_size: 0.4818, loss_rotsin: 0.1803, loss_centerness: 0.5721, loss_velo: 0.0544, loss_dir: 0.3060, loss_attr: 0.1503, loss: 2.9782, grad_norm: 5.4002
2021-08-17 06:55:26,365 - mmdet - INFO - Epoch [11][1400/2217]	lr: 8.000e-04, eta: 1:44:36, time: 2.087, data_time: 0.053, memory: 20207, loss_cls: 0.2232, loss_offset: 0.5488, loss_depth: 0.4777, loss_size: 0.5114, loss_rotsin: 0.1909, loss_centerness: 0.5717, loss_velo: 0.0516, loss_dir: 0.3164, loss_attr: 0.1559, loss: 3.0476, grad_norm: 5.3317
2021-08-17 06:57:10,553 - mmdet - INFO - Epoch [11][1450/2217]	lr: 8.000e-04, eta: 1:42:53, time: 2.084, data_time: 0.055, memory: 20207, loss_cls: 0.2213, loss_offset: 0.5456, loss_depth: 0.4561, loss_size: 0.4847, loss_rotsin: 0.1809, loss_centerness: 0.5721, loss_velo: 0.0525, loss_dir: 0.3126, loss_attr: 0.1489, loss: 2.9749, grad_norm: 5.2535
2021-08-17 06:58:54,925 - mmdet - INFO - Epoch [11][1500/2217]	lr: 8.000e-04, eta: 1:41:09, time: 2.087, data_time: 0.052, memory: 20207, loss_cls: 0.2230, loss_offset: 0.5553, loss_depth: 0.4785, loss_size: 0.4924, loss_rotsin: 0.1875, loss_centerness: 0.5724, loss_velo: 0.0521, loss_dir: 0.3180, loss_attr: 0.1626, loss: 3.0419, grad_norm: 5.5596
2021-08-17 07:00:39,876 - mmdet - INFO - Epoch [11][1550/2217]	lr: 8.000e-04, eta: 1:39:26, time: 2.099, data_time: 0.054, memory: 20207, loss_cls: 0.2214, loss_offset: 0.5495, loss_depth: 0.4791, loss_size: 0.5009, loss_rotsin: 0.1777, loss_centerness: 0.5722, loss_velo: 0.0519, loss_dir: 0.3076, loss_attr: 0.1513, loss: 3.0116, grad_norm: 5.3723
2021-08-17 07:02:24,355 - mmdet - INFO - Epoch [11][1600/2217]	lr: 8.000e-04, eta: 1:37:43, time: 2.090, data_time: 0.053, memory: 20207, loss_cls: 0.2197, loss_offset: 0.5488, loss_depth: 0.4783, loss_size: 0.4891, loss_rotsin: 0.1859, loss_centerness: 0.5724, loss_velo: 0.0489, loss_dir: 0.3174, loss_attr: 0.1570, loss: 3.0175, grad_norm: 5.4519
2021-08-17 07:04:09,182 - mmdet - INFO - Epoch [11][1650/2217]	lr: 8.000e-04, eta: 1:36:00, time: 2.097, data_time: 0.052, memory: 20207, loss_cls: 0.2233, loss_offset: 0.5473, loss_depth: 0.4650, loss_size: 0.4918, loss_rotsin: 0.1800, loss_centerness: 0.5716, loss_velo: 0.0510, loss_dir: 0.3059, loss_attr: 0.1493, loss: 2.9852, grad_norm: 5.2281
2021-08-17 07:05:54,442 - mmdet - INFO - Epoch [11][1700/2217]	lr: 8.000e-04, eta: 1:34:16, time: 2.105, data_time: 0.054, memory: 20207, loss_cls: 0.2197, loss_offset: 0.5441, loss_depth: 0.4665, loss_size: 0.4881, loss_rotsin: 0.1841, loss_centerness: 0.5720, loss_velo: 0.0554, loss_dir: 0.3061, loss_attr: 0.1526, loss: 2.9886, grad_norm: 5.4825
2021-08-17 07:07:38,967 - mmdet - INFO - Epoch [11][1750/2217]	lr: 8.000e-04, eta: 1:32:33, time: 2.091, data_time: 0.051, memory: 20207, loss_cls: 0.2185, loss_offset: 0.5455, loss_depth: 0.4649, loss_size: 0.4885, loss_rotsin: 0.1837, loss_centerness: 0.5719, loss_velo: 0.0510, loss_dir: 0.3110, loss_attr: 0.1493, loss: 2.9843, grad_norm: 5.1831
2021-08-17 07:09:23,753 - mmdet - INFO - Epoch [11][1800/2217]	lr: 8.000e-04, eta: 1:30:50, time: 2.096, data_time: 0.054, memory: 20207, loss_cls: 0.2196, loss_offset: 0.5482, loss_depth: 0.4692, loss_size: 0.4936, loss_rotsin: 0.1817, loss_centerness: 0.5720, loss_velo: 0.0505, loss_dir: 0.3136, loss_attr: 0.1525, loss: 3.0010, grad_norm: 5.1470
2021-08-17 07:11:08,344 - mmdet - INFO - Epoch [11][1850/2217]	lr: 8.000e-04, eta: 1:29:06, time: 2.092, data_time: 0.057, memory: 20207, loss_cls: 0.2196, loss_offset: 0.5442, loss_depth: 0.4709, loss_size: 0.4834, loss_rotsin: 0.1825, loss_centerness: 0.5722, loss_velo: 0.0554, loss_dir: 0.3091, loss_attr: 0.1481, loss: 2.9854, grad_norm: 5.3811
2021-08-17 07:12:52,786 - mmdet - INFO - Epoch [11][1900/2217]	lr: 8.000e-04, eta: 1:27:23, time: 2.089, data_time: 0.055, memory: 20207, loss_cls: 0.2211, loss_offset: 0.5467, loss_depth: 0.4751, loss_size: 0.4983, loss_rotsin: 0.1839, loss_centerness: 0.5723, loss_velo: 0.0536, loss_dir: 0.3104, loss_attr: 0.1553, loss: 3.0168, grad_norm: 5.3709
2021-08-17 07:14:38,139 - mmdet - INFO - Epoch [11][1950/2217]	lr: 8.000e-04, eta: 1:25:40, time: 2.107, data_time: 0.053, memory: 20207, loss_cls: 0.2204, loss_offset: 0.5510, loss_depth: 0.4665, loss_size: 0.4987, loss_rotsin: 0.1839, loss_centerness: 0.5724, loss_velo: 0.0543, loss_dir: 0.3051, loss_attr: 0.1535, loss: 3.0058, grad_norm: 5.3417
2021-08-17 07:16:23,130 - mmdet - INFO - Epoch [11][2000/2217]	lr: 8.000e-04, eta: 1:23:56, time: 2.100, data_time: 0.053, memory: 20207, loss_cls: 0.2194, loss_offset: 0.5440, loss_depth: 0.4733, loss_size: 0.4919, loss_rotsin: 0.1789, loss_centerness: 0.5720, loss_velo: 0.0514, loss_dir: 0.3052, loss_attr: 0.1464, loss: 2.9825, grad_norm: 5.1756
2021-08-17 07:18:07,847 - mmdet - INFO - Epoch [11][2050/2217]	lr: 8.000e-04, eta: 1:22:13, time: 2.094, data_time: 0.056, memory: 20207, loss_cls: 0.2201, loss_offset: 0.5562, loss_depth: 0.4792, loss_size: 0.4797, loss_rotsin: 0.1820, loss_centerness: 0.5729, loss_velo: 0.0545, loss_dir: 0.3129, loss_attr: 0.1537, loss: 3.0112, grad_norm: 5.4091
2021-08-17 07:19:52,669 - mmdet - INFO - Epoch [11][2100/2217]	lr: 8.000e-04, eta: 1:20:30, time: 2.096, data_time: 0.053, memory: 20207, loss_cls: 0.2220, loss_offset: 0.5526, loss_depth: 0.4698, loss_size: 0.4877, loss_rotsin: 0.1851, loss_centerness: 0.5723, loss_velo: 0.0520, loss_dir: 0.3189, loss_attr: 0.1497, loss: 3.0101, grad_norm: 5.2355
2021-08-17 07:21:37,733 - mmdet - INFO - Epoch [11][2150/2217]	lr: 8.000e-04, eta: 1:18:46, time: 2.101, data_time: 0.051, memory: 20207, loss_cls: 0.2200, loss_offset: 0.5523, loss_depth: 0.4682, loss_size: 0.4946, loss_rotsin: 0.1829, loss_centerness: 0.5723, loss_velo: 0.0519, loss_dir: 0.3154, loss_attr: 0.1507, loss: 3.0081, grad_norm: 5.2494
2021-08-17 07:23:22,366 - mmdet - INFO - Epoch [11][2200/2217]	lr: 8.000e-04, eta: 1:17:03, time: 2.093, data_time: 0.052, memory: 20207, loss_cls: 0.2229, loss_offset: 0.5501, loss_depth: 0.4603, loss_size: 0.4862, loss_rotsin: 0.1840, loss_centerness: 0.5723, loss_velo: 0.0530, loss_dir: 0.3079, loss_attr: 0.1505, loss: 2.9872, grad_norm: 5.4540
2021-08-17 07:23:58,855 - mmdet - INFO - Saving checkpoint at 11 epochs
2021-08-17 07:25:54,222 - mmdet - INFO - Epoch [12][50/2217]	lr: 8.000e-05, eta: 1:14:42, time: 2.287, data_time: 0.245, memory: 20207, loss_cls: 0.2203, loss_offset: 0.5483, loss_depth: 0.4592, loss_size: 0.4744, loss_rotsin: 0.1811, loss_centerness: 0.5723, loss_velo: 0.0548, loss_dir: 0.3023, loss_attr: 0.1446, loss: 2.9575, grad_norm: 4.9714
2021-08-17 07:27:39,156 - mmdet - INFO - Epoch [12][100/2217]	lr: 8.000e-05, eta: 1:12:59, time: 2.099, data_time: 0.060, memory: 20207, loss_cls: 0.2201, loss_offset: 0.5486, loss_depth: 0.4637, loss_size: 0.4858, loss_rotsin: 0.1801, loss_centerness: 0.5718, loss_velo: 0.0545, loss_dir: 0.3067, loss_attr: 0.1365, loss: 2.9678, grad_norm: 5.0419
2021-08-17 07:29:23,688 - mmdet - INFO - Epoch [12][150/2217]	lr: 8.000e-05, eta: 1:11:16, time: 2.091, data_time: 0.063, memory: 20207, loss_cls: 0.2208, loss_offset: 0.5422, loss_depth: 0.4501, loss_size: 0.4816, loss_rotsin: 0.1822, loss_centerness: 0.5720, loss_velo: 0.0523, loss_dir: 0.2949, loss_attr: 0.1378, loss: 2.9340, grad_norm: 4.9803
2021-08-17 07:31:08,112 - mmdet - INFO - Epoch [12][200/2217]	lr: 8.000e-05, eta: 1:09:32, time: 2.088, data_time: 0.058, memory: 20207, loss_cls: 0.2200, loss_offset: 0.5427, loss_depth: 0.4431, loss_size: 0.4812, loss_rotsin: 0.1854, loss_centerness: 0.5716, loss_velo: 0.0545, loss_dir: 0.3102, loss_attr: 0.1421, loss: 2.9507, grad_norm: 5.2365
2021-08-17 07:32:53,146 - mmdet - INFO - Epoch [12][250/2217]	lr: 8.000e-05, eta: 1:07:49, time: 2.101, data_time: 0.061, memory: 20207, loss_cls: 0.2200, loss_offset: 0.5445, loss_depth: 0.4637, loss_size: 0.4903, loss_rotsin: 0.1785, loss_centerness: 0.5722, loss_velo: 0.0491, loss_dir: 0.2979, loss_attr: 0.1406, loss: 2.9567, grad_norm: 5.0605
2021-08-17 07:34:37,826 - mmdet - INFO - Epoch [12][300/2217]	lr: 8.000e-05, eta: 1:06:06, time: 2.093, data_time: 0.058, memory: 20207, loss_cls: 0.2202, loss_offset: 0.5446, loss_depth: 0.4545, loss_size: 0.4750, loss_rotsin: 0.1788, loss_centerness: 0.5718, loss_velo: 0.0540, loss_dir: 0.3018, loss_attr: 0.1405, loss: 2.9411, grad_norm: 5.0152
2021-08-17 07:36:22,732 - mmdet - INFO - Epoch [12][350/2217]	lr: 8.000e-05, eta: 1:04:22, time: 2.098, data_time: 0.063, memory: 20207, loss_cls: 0.2215, loss_offset: 0.5542, loss_depth: 0.4612, loss_size: 0.4833, loss_rotsin: 0.1776, loss_centerness: 0.5723, loss_velo: 0.0542, loss_dir: 0.3034, loss_attr: 0.1391, loss: 2.9668, grad_norm: 5.1264
2021-08-17 07:38:07,221 - mmdet - INFO - Epoch [12][400/2217]	lr: 8.000e-05, eta: 1:02:39, time: 2.090, data_time: 0.057, memory: 20207, loss_cls: 0.2195, loss_offset: 0.5460, loss_depth: 0.4575, loss_size: 0.4705, loss_rotsin: 0.1823, loss_centerness: 0.5720, loss_velo: 0.0514, loss_dir: 0.3039, loss_attr: 0.1377, loss: 2.9408, grad_norm: 5.1318
2021-08-17 07:39:51,539 - mmdet - INFO - Epoch [12][450/2217]	lr: 8.000e-05, eta: 1:00:55, time: 2.086, data_time: 0.061, memory: 20207, loss_cls: 0.2176, loss_offset: 0.5377, loss_depth: 0.4443, loss_size: 0.4752, loss_rotsin: 0.1793, loss_centerness: 0.5717, loss_velo: 0.0530, loss_dir: 0.2984, loss_attr: 0.1419, loss: 2.9191, grad_norm: 5.1069
2021-08-17 07:41:35,850 - mmdet - INFO - Epoch [12][500/2217]	lr: 8.000e-05, eta: 0:59:12, time: 2.086, data_time: 0.058, memory: 20207, loss_cls: 0.2200, loss_offset: 0.5498, loss_depth: 0.4622, loss_size: 0.4785, loss_rotsin: 0.1811, loss_centerness: 0.5722, loss_velo: 0.0535, loss_dir: 0.3069, loss_attr: 0.1445, loss: 2.9688, grad_norm: 4.9899
2021-08-17 07:43:20,307 - mmdet - INFO - Epoch [12][550/2217]	lr: 8.000e-05, eta: 0:57:29, time: 2.089, data_time: 0.060, memory: 20207, loss_cls: 0.2191, loss_offset: 0.5401, loss_depth: 0.4496, loss_size: 0.4826, loss_rotsin: 0.1778, loss_centerness: 0.5718, loss_velo: 0.0511, loss_dir: 0.3011, loss_attr: 0.1435, loss: 2.9366, grad_norm: 5.2281
2021-08-17 07:45:04,311 - mmdet - INFO - Epoch [12][600/2217]	lr: 8.000e-05, eta: 0:55:45, time: 2.080, data_time: 0.055, memory: 20207, loss_cls: 0.2143, loss_offset: 0.5346, loss_depth: 0.4515, loss_size: 0.4730, loss_rotsin: 0.1745, loss_centerness: 0.5717, loss_velo: 0.0531, loss_dir: 0.2948, loss_attr: 0.1430, loss: 2.9105, grad_norm: 4.9074
2021-08-17 07:46:48,487 - mmdet - INFO - Epoch [12][650/2217]	lr: 8.000e-05, eta: 0:54:02, time: 2.084, data_time: 0.059, memory: 20207, loss_cls: 0.2180, loss_offset: 0.5445, loss_depth: 0.4457, loss_size: 0.4691, loss_rotsin: 0.1767, loss_centerness: 0.5724, loss_velo: 0.0512, loss_dir: 0.3042, loss_attr: 0.1331, loss: 2.9150, grad_norm: 4.9750
2021-08-17 07:48:33,173 - mmdet - INFO - Epoch [12][700/2217]	lr: 8.000e-05, eta: 0:52:18, time: 2.094, data_time: 0.058, memory: 20207, loss_cls: 0.2175, loss_offset: 0.5410, loss_depth: 0.4499, loss_size: 0.4771, loss_rotsin: 0.1747, loss_centerness: 0.5716, loss_velo: 0.0515, loss_dir: 0.2924, loss_attr: 0.1373, loss: 2.9129, grad_norm: 5.0666
2021-08-17 07:50:17,231 - mmdet - INFO - Epoch [12][750/2217]	lr: 8.000e-05, eta: 0:50:35, time: 2.081, data_time: 0.058, memory: 20207, loss_cls: 0.2212, loss_offset: 0.5488, loss_depth: 0.4605, loss_size: 0.4908, loss_rotsin: 0.1829, loss_centerness: 0.5723, loss_velo: 0.0555, loss_dir: 0.3049, loss_attr: 0.1417, loss: 2.9787, grad_norm: 5.2748
2021-08-17 07:52:01,580 - mmdet - INFO - Epoch [12][800/2217]	lr: 8.000e-05, eta: 0:48:52, time: 2.087, data_time: 0.057, memory: 20207, loss_cls: 0.2206, loss_offset: 0.5460, loss_depth: 0.4495, loss_size: 0.4803, loss_rotsin: 0.1844, loss_centerness: 0.5722, loss_velo: 0.0511, loss_dir: 0.3051, loss_attr: 0.1452, loss: 2.9545, grad_norm: 5.1367
2021-08-17 07:53:46,080 - mmdet - INFO - Epoch [12][850/2217]	lr: 8.000e-05, eta: 0:47:08, time: 2.090, data_time: 0.055, memory: 20207, loss_cls: 0.2178, loss_offset: 0.5545, loss_depth: 0.4598, loss_size: 0.4705, loss_rotsin: 0.1812, loss_centerness: 0.5730, loss_velo: 0.0524, loss_dir: 0.3085, loss_attr: 0.1466, loss: 2.9644, grad_norm: 4.9262
2021-08-17 07:55:30,869 - mmdet - INFO - Epoch [12][900/2217]	lr: 8.000e-05, eta: 0:45:25, time: 2.096, data_time: 0.057, memory: 20207, loss_cls: 0.2203, loss_offset: 0.5442, loss_depth: 0.4535, loss_size: 0.4779, loss_rotsin: 0.1816, loss_centerness: 0.5721, loss_velo: 0.0510, loss_dir: 0.3044, loss_attr: 0.1405, loss: 2.9454, grad_norm: 5.1661
2021-08-17 07:57:15,509 - mmdet - INFO - Epoch [12][950/2217]	lr: 8.000e-05, eta: 0:43:41, time: 2.093, data_time: 0.058, memory: 20207, loss_cls: 0.2191, loss_offset: 0.5487, loss_depth: 0.4534, loss_size: 0.4718, loss_rotsin: 0.1816, loss_centerness: 0.5725, loss_velo: 0.0514, loss_dir: 0.3033, loss_attr: 0.1371, loss: 2.9391, grad_norm: 4.9412
2021-08-17 07:59:00,137 - mmdet - INFO - Epoch [12][1000/2217]	lr: 8.000e-05, eta: 0:41:58, time: 2.093, data_time: 0.055, memory: 20207, loss_cls: 0.2180, loss_offset: 0.5434, loss_depth: 0.4552, loss_size: 0.4829, loss_rotsin: 0.1821, loss_centerness: 0.5719, loss_velo: 0.0534, loss_dir: 0.2960, loss_attr: 0.1357, loss: 2.9387, grad_norm: 5.0250
2021-08-17 08:00:44,789 - mmdet - INFO - Epoch [12][1050/2217]	lr: 8.000e-05, eta: 0:40:15, time: 2.093, data_time: 0.056, memory: 20207, loss_cls: 0.2186, loss_offset: 0.5463, loss_depth: 0.4566, loss_size: 0.4834, loss_rotsin: 0.1799, loss_centerness: 0.5724, loss_velo: 0.0514, loss_dir: 0.2995, loss_attr: 0.1378, loss: 2.9459, grad_norm: 5.1625
2021-08-17 08:02:29,469 - mmdet - INFO - Epoch [12][1100/2217]	lr: 8.000e-05, eta: 0:38:31, time: 2.094, data_time: 0.056, memory: 20207, loss_cls: 0.2189, loss_offset: 0.5477, loss_depth: 0.4492, loss_size: 0.4633, loss_rotsin: 0.1802, loss_centerness: 0.5726, loss_velo: 0.0552, loss_dir: 0.3051, loss_attr: 0.1412, loss: 2.9333, grad_norm: 5.0539
2021-08-17 08:04:13,602 - mmdet - INFO - Epoch [12][1150/2217]	lr: 8.000e-05, eta: 0:36:48, time: 2.083, data_time: 0.055, memory: 20207, loss_cls: 0.2190, loss_offset: 0.5436, loss_depth: 0.4494, loss_size: 0.4809, loss_rotsin: 0.1782, loss_centerness: 0.5718, loss_velo: 0.0542, loss_dir: 0.2964, loss_attr: 0.1430, loss: 2.9365, grad_norm: 5.0766
2021-08-17 08:05:57,891 - mmdet - INFO - Epoch [12][1200/2217]	lr: 8.000e-05, eta: 0:35:04, time: 2.086, data_time: 0.055, memory: 20207, loss_cls: 0.2174, loss_offset: 0.5455, loss_depth: 0.4537, loss_size: 0.4844, loss_rotsin: 0.1836, loss_centerness: 0.5719, loss_velo: 0.0525, loss_dir: 0.3013, loss_attr: 0.1480, loss: 2.9584, grad_norm: 5.1718
2021-08-17 08:07:42,056 - mmdet - INFO - Epoch [12][1250/2217]	lr: 8.000e-05, eta: 0:33:21, time: 2.083, data_time: 0.053, memory: 20207, loss_cls: 0.2199, loss_offset: 0.5414, loss_depth: 0.4622, loss_size: 0.4939, loss_rotsin: 0.1767, loss_centerness: 0.5716, loss_velo: 0.0523, loss_dir: 0.2958, loss_attr: 0.1373, loss: 2.9511, grad_norm: 5.2062
2021-08-17 08:09:26,212 - mmdet - INFO - Epoch [12][1300/2217]	lr: 8.000e-05, eta: 0:31:37, time: 2.083, data_time: 0.054, memory: 20207, loss_cls: 0.2192, loss_offset: 0.5393, loss_depth: 0.4409, loss_size: 0.4769, loss_rotsin: 0.1794, loss_centerness: 0.5716, loss_velo: 0.0523, loss_dir: 0.3031, loss_attr: 0.1337, loss: 2.9164, grad_norm: 5.1649
2021-08-17 08:11:10,058 - mmdet - INFO - Epoch [12][1350/2217]	lr: 8.000e-05, eta: 0:29:54, time: 2.077, data_time: 0.055, memory: 20207, loss_cls: 0.2174, loss_offset: 0.5391, loss_depth: 0.4539, loss_size: 0.4703, loss_rotsin: 0.1740, loss_centerness: 0.5720, loss_velo: 0.0530, loss_dir: 0.2961, loss_attr: 0.1415, loss: 2.9173, grad_norm: 5.0502
2021-08-17 08:12:53,937 - mmdet - INFO - Epoch [12][1400/2217]	lr: 8.000e-05, eta: 0:28:10, time: 2.078, data_time: 0.052, memory: 20207, loss_cls: 0.2206, loss_offset: 0.5506, loss_depth: 0.4591, loss_size: 0.4865, loss_rotsin: 0.1796, loss_centerness: 0.5724, loss_velo: 0.0523, loss_dir: 0.2971, loss_attr: 0.1385, loss: 2.9566, grad_norm: 5.0457
2021-08-17 08:14:37,955 - mmdet - INFO - Epoch [12][1450/2217]	lr: 8.000e-05, eta: 0:26:27, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2198, loss_offset: 0.5415, loss_depth: 0.4575, loss_size: 0.4971, loss_rotsin: 0.1807, loss_centerness: 0.5719, loss_velo: 0.0524, loss_dir: 0.2983, loss_attr: 0.1380, loss: 2.9571, grad_norm: 5.1227
2021-08-17 08:16:21,644 - mmdet - INFO - Epoch [12][1500/2217]	lr: 8.000e-05, eta: 0:24:43, time: 2.074, data_time: 0.051, memory: 20207, loss_cls: 0.2173, loss_offset: 0.5419, loss_depth: 0.4522, loss_size: 0.4792, loss_rotsin: 0.1800, loss_centerness: 0.5719, loss_velo: 0.0525, loss_dir: 0.2990, loss_attr: 0.1418, loss: 2.9359, grad_norm: 5.0677
2021-08-17 08:18:05,271 - mmdet - INFO - Epoch [12][1550/2217]	lr: 8.000e-05, eta: 0:23:00, time: 2.072, data_time: 0.055, memory: 20207, loss_cls: 0.2172, loss_offset: 0.5415, loss_depth: 0.4586, loss_size: 0.4749, loss_rotsin: 0.1815, loss_centerness: 0.5718, loss_velo: 0.0497, loss_dir: 0.3076, loss_attr: 0.1410, loss: 2.9438, grad_norm: 5.1002
2021-08-17 08:19:49,784 - mmdet - INFO - Epoch [12][1600/2217]	lr: 8.000e-05, eta: 0:21:17, time: 2.090, data_time: 0.055, memory: 20207, loss_cls: 0.2190, loss_offset: 0.5311, loss_depth: 0.4478, loss_size: 0.4729, loss_rotsin: 0.1790, loss_centerness: 0.5719, loss_velo: 0.0557, loss_dir: 0.2957, loss_attr: 0.1378, loss: 2.9109, grad_norm: 5.1750
2021-08-17 08:21:33,607 - mmdet - INFO - Epoch [12][1650/2217]	lr: 8.000e-05, eta: 0:19:33, time: 2.076, data_time: 0.050, memory: 20207, loss_cls: 0.2177, loss_offset: 0.5376, loss_depth: 0.4505, loss_size: 0.4735, loss_rotsin: 0.1778, loss_centerness: 0.5716, loss_velo: 0.0519, loss_dir: 0.2971, loss_attr: 0.1344, loss: 2.9122, grad_norm: 5.0700
2021-08-17 08:23:17,134 - mmdet - INFO - Epoch [12][1700/2217]	lr: 8.000e-05, eta: 0:17:50, time: 2.071, data_time: 0.056, memory: 20207, loss_cls: 0.2184, loss_offset: 0.5357, loss_depth: 0.4548, loss_size: 0.4872, loss_rotsin: 0.1752, loss_centerness: 0.5714, loss_velo: 0.0517, loss_dir: 0.2960, loss_attr: 0.1357, loss: 2.9262, grad_norm: 5.1094
2021-08-17 08:25:01,143 - mmdet - INFO - Epoch [12][1750/2217]	lr: 8.000e-05, eta: 0:16:06, time: 2.080, data_time: 0.053, memory: 20207, loss_cls: 0.2187, loss_offset: 0.5429, loss_depth: 0.4547, loss_size: 0.4787, loss_rotsin: 0.1844, loss_centerness: 0.5720, loss_velo: 0.0517, loss_dir: 0.3101, loss_attr: 0.1388, loss: 2.9520, grad_norm: 5.1068
2021-08-17 08:26:44,973 - mmdet - INFO - Epoch [12][1800/2217]	lr: 8.000e-05, eta: 0:14:23, time: 2.077, data_time: 0.055, memory: 20207, loss_cls: 0.2225, loss_offset: 0.5485, loss_depth: 0.4661, loss_size: 0.4869, loss_rotsin: 0.1822, loss_centerness: 0.5723, loss_velo: 0.0522, loss_dir: 0.3015, loss_attr: 0.1423, loss: 2.9747, grad_norm: 5.1439
2021-08-17 08:28:28,981 - mmdet - INFO - Epoch [12][1850/2217]	lr: 8.000e-05, eta: 0:12:39, time: 2.080, data_time: 0.055, memory: 20207, loss_cls: 0.2195, loss_offset: 0.5401, loss_depth: 0.4519, loss_size: 0.4791, loss_rotsin: 0.1762, loss_centerness: 0.5717, loss_velo: 0.0516, loss_dir: 0.2992, loss_attr: 0.1397, loss: 2.9290, grad_norm: 5.1943
2021-08-17 08:30:13,075 - mmdet - INFO - Epoch [12][1900/2217]	lr: 8.000e-05, eta: 0:10:56, time: 2.082, data_time: 0.054, memory: 20207, loss_cls: 0.2201, loss_offset: 0.5442, loss_depth: 0.4540, loss_size: 0.4824, loss_rotsin: 0.1810, loss_centerness: 0.5717, loss_velo: 0.0522, loss_dir: 0.2994, loss_attr: 0.1380, loss: 2.9430, grad_norm: 5.0672
2021-08-17 08:31:57,202 - mmdet - INFO - Epoch [12][1950/2217]	lr: 8.000e-05, eta: 0:09:12, time: 2.083, data_time: 0.055, memory: 20207, loss_cls: 0.2176, loss_offset: 0.5400, loss_depth: 0.4510, loss_size: 0.4742, loss_rotsin: 0.1766, loss_centerness: 0.5717, loss_velo: 0.0534, loss_dir: 0.3007, loss_attr: 0.1351, loss: 2.9203, grad_norm: 5.0896
2021-08-17 08:33:41,833 - mmdet - INFO - Epoch [12][2000/2217]	lr: 8.000e-05, eta: 0:07:29, time: 2.093, data_time: 0.056, memory: 20207, loss_cls: 0.2198, loss_offset: 0.5406, loss_depth: 0.4650, loss_size: 0.4778, loss_rotsin: 0.1776, loss_centerness: 0.5721, loss_velo: 0.0524, loss_dir: 0.3013, loss_attr: 0.1366, loss: 2.9432, grad_norm: 5.1469
2021-08-17 08:35:25,639 - mmdet - INFO - Epoch [12][2050/2217]	lr: 8.000e-05, eta: 0:05:45, time: 2.076, data_time: 0.052, memory: 20207, loss_cls: 0.2183, loss_offset: 0.5377, loss_depth: 0.4499, loss_size: 0.4829, loss_rotsin: 0.1805, loss_centerness: 0.5718, loss_velo: 0.0516, loss_dir: 0.3048, loss_attr: 0.1359, loss: 2.9334, grad_norm: 5.0379
2021-08-17 08:37:10,127 - mmdet - INFO - Epoch [12][2100/2217]	lr: 8.000e-05, eta: 0:04:02, time: 2.090, data_time: 0.052, memory: 20207, loss_cls: 0.2189, loss_offset: 0.5403, loss_depth: 0.4451, loss_size: 0.4718, loss_rotsin: 0.1788, loss_centerness: 0.5716, loss_velo: 0.0512, loss_dir: 0.3072, loss_attr: 0.1342, loss: 2.9191, grad_norm: 5.0249
2021-08-17 08:38:54,478 - mmdet - INFO - Epoch [12][2150/2217]	lr: 8.000e-05, eta: 0:02:18, time: 2.087, data_time: 0.059, memory: 20207, loss_cls: 0.2201, loss_offset: 0.5450, loss_depth: 0.4547, loss_size: 0.4845, loss_rotsin: 0.1793, loss_centerness: 0.5720, loss_velo: 0.0527, loss_dir: 0.2937, loss_attr: 0.1423, loss: 2.9442, grad_norm: 5.2251
2021-08-17 08:40:38,352 - mmdet - INFO - Epoch [12][2200/2217]	lr: 8.000e-05, eta: 0:00:35, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2184, loss_offset: 0.5435, loss_depth: 0.4461, loss_size: 0.4877, loss_rotsin: 0.1764, loss_centerness: 0.5716, loss_velo: 0.0514, loss_dir: 0.2941, loss_attr: 0.1353, loss: 2.9245, grad_norm: 5.0663
2021-08-17 09:30:04,948 - mmdet - INFO - Saving checkpoint at 12 epochs
2021-08-17 09:30:05,966 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-17 09:30:05,967 - mmdet - INFO - Epoch(val) [12][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0513, img_bbox_NuScenes/car_AP_dist_1.0: 0.2454, img_bbox_NuScenes/car_AP_dist_2.0: 0.5330, img_bbox_NuScenes/car_AP_dist_4.0: 0.7274, img_bbox_NuScenes/car_trans_err: 0.7127, img_bbox_NuScenes/car_scale_err: 0.1564, img_bbox_NuScenes/car_orient_err: 0.1648, img_bbox_NuScenes/car_vel_err: 2.0794, img_bbox_NuScenes/car_attr_err: 0.1396, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0000, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0204, img_bbox_NuScenes/truck_AP_dist_2.0: 0.1321, img_bbox_NuScenes/truck_AP_dist_4.0: 0.3059, img_bbox_NuScenes/truck_trans_err: 0.9465, img_bbox_NuScenes/truck_scale_err: 0.2249, img_bbox_NuScenes/truck_orient_err: 0.2804, img_bbox_NuScenes/truck_vel_err: 1.3597, img_bbox_NuScenes/truck_attr_err: 0.1697, img_bbox_NuScenes/trailer_AP_dist_0.5: 0.0000, img_bbox_NuScenes/trailer_AP_dist_1.0: 0.0000, img_bbox_NuScenes/trailer_AP_dist_2.0: 0.0257, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.1668, img_bbox_NuScenes/trailer_trans_err: 1.2526, img_bbox_NuScenes/trailer_scale_err: 0.2306, img_bbox_NuScenes/trailer_orient_err: 0.9680, img_bbox_NuScenes/trailer_vel_err: 0.4148, img_bbox_NuScenes/trailer_attr_err: 0.0882, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0000, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0235, img_bbox_NuScenes/bus_AP_dist_2.0: 0.1902, img_bbox_NuScenes/bus_AP_dist_4.0: 0.4035, img_bbox_NuScenes/bus_trans_err: 0.9830, img_bbox_NuScenes/bus_scale_err: 0.2051, img_bbox_NuScenes/bus_orient_err: 0.3103, img_bbox_NuScenes/bus_vel_err: 3.1803, img_bbox_NuScenes/bus_attr_err: 0.3103, img_bbox_NuScenes/construction_vehicle_AP_dist_0.5: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_1.0: 0.0000, img_bbox_NuScenes/construction_vehicle_AP_dist_2.0: 0.0078, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.0483, img_bbox_NuScenes/construction_vehicle_trans_err: 1.1378, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4821, img_bbox_NuScenes/construction_vehicle_orient_err: 1.2814, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1213, img_bbox_NuScenes/construction_vehicle_attr_err: 0.3256, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0013, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.0381, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.1233, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.1969, img_bbox_NuScenes/bicycle_trans_err: 0.8577, img_bbox_NuScenes/bicycle_scale_err: 0.3175, img_bbox_NuScenes/bicycle_orient_err: 1.3042, img_bbox_NuScenes/bicycle_vel_err: 0.9143, img_bbox_NuScenes/bicycle_attr_err: 0.0338, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0057, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.0643, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.1895, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.3113, img_bbox_NuScenes/motorcycle_trans_err: 0.8689, img_bbox_NuScenes/motorcycle_scale_err: 0.2706, img_bbox_NuScenes/motorcycle_orient_err: 1.0733, img_bbox_NuScenes/motorcycle_vel_err: 1.8036, img_bbox_NuScenes/motorcycle_attr_err: 0.0990, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0297, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.1679, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.3774, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.5615, img_bbox_NuScenes/pedestrian_trans_err: 0.7706, img_bbox_NuScenes/pedestrian_scale_err: 0.2919, img_bbox_NuScenes/pedestrian_orient_err: 1.2106, img_bbox_NuScenes/pedestrian_vel_err: 0.9330, img_bbox_NuScenes/pedestrian_attr_err: 0.1979, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1250, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.3534, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.5573, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.6800, img_bbox_NuScenes/traffic_cone_trans_err: 0.6259, img_bbox_NuScenes/traffic_cone_scale_err: 0.3299, img_bbox_NuScenes/traffic_cone_orient_err: nan, img_bbox_NuScenes/traffic_cone_vel_err: nan, img_bbox_NuScenes/traffic_cone_attr_err: nan, img_bbox_NuScenes/barrier_AP_dist_0.5: 0.0667, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.2853, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5042, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.5864, img_bbox_NuScenes/barrier_trans_err: 0.7022, img_bbox_NuScenes/barrier_scale_err: 0.2757, img_bbox_NuScenes/barrier_orient_err: 0.2145, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.2922, img_bbox_NuScenes/mAP: 0.2027