fcos3d_simipu_nus_abl_onefive.txt

2021-08-17 15:58:33,746 - 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
------------------------------------------------------------

2021-08-17 15:58:34,635 - mmdet - INFO - Distributed training: True
2021-08-17 15:58:35,393 - 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/onefive'
load_from = 'checkpoints/mono3d_waymo_onefive.pth'
resume_from = None
workflow = [('train', 1)]
total_epochs = 12
gpu_ids = range(0, 8)

2021-08-17 15:58:35,393 - mmdet - INFO - Set random seed to 0, deterministic: False
2021-08-17 15:58:35,931 - 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()
  )
)
2021-08-17 15:59:20,720 - mmdet - INFO - load checkpoint from checkpoints/mono3d_waymo_onefive.pth
2021-08-17 15:59:20,731 - mmdet - INFO - Use load_from_local loader
2021-08-17 15:59:20,868 - 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

2021-08-17 15:59:20,869 - mmdet - INFO - Start running, host: root@onefive-dcn-master-0, work_dir: /nfs/lizhenyu1/workspace/python_workspace/mmdetection3d/nfs/lzy/fcos3d_ablation/onefive
2021-08-17 15:59:20,869 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2021-08-17 16:01:21,401 - mmdet - INFO - Epoch [1][50/2217]	lr: 3.189e-03, eta: 17:46:10, time: 2.409, data_time: 0.252, memory: 20144, loss_cls: 0.7993, loss_offset: 1.3497, loss_depth: 4.0204, loss_size: 2.9166, loss_rotsin: 0.5598, loss_centerness: 0.6183, loss_velo: 0.0630, loss_dir: 0.6951, loss_attr: 1.6371, loss: 12.6594, grad_norm: 42.4119
2021-08-17 16:04:00,869 - mmdet - INFO - Epoch [1][100/2217]	lr: 3.723e-03, eta: 20:36:30, time: 3.189, data_time: 1.170, memory: 20170, loss_cls: 0.5505, loss_offset: 1.2039, loss_depth: 2.1548, loss_size: 2.2172, loss_rotsin: 0.5364, loss_centerness: 0.6002, loss_velo: 0.0601, loss_dir: 0.6924, loss_attr: 1.2624, loss: 9.2777, grad_norm: 18.8624
2021-08-17 16:05:45,323 - mmdet - INFO - Epoch [1][150/2217]	lr: 4.256e-03, eta: 18:49:47, time: 2.089, data_time: 0.058, memory: 20170, loss_cls: 0.5106, loss_offset: 1.1553, loss_depth: 1.9786, loss_size: 1.9700, loss_rotsin: 0.5276, loss_centerness: 0.5994, loss_velo: 0.0604, loss_dir: 0.6923, loss_attr: 1.1034, loss: 8.5976, grad_norm: 18.5226
2021-08-17 16:07:29,619 - mmdet - INFO - Epoch [1][200/2217]	lr: 4.789e-03, eta: 17:55:14, time: 2.086, data_time: 0.059, memory: 20170, loss_cls: 0.4734, loss_offset: 1.0809, loss_depth: 1.8728, loss_size: 1.7970, loss_rotsin: 0.5253, loss_centerness: 0.5983, loss_velo: 0.0615, loss_dir: 0.6909, loss_attr: 1.0245, loss: 8.1246, grad_norm: 18.1866
2021-08-17 16:09:13,794 - mmdet - INFO - Epoch [1][250/2217]	lr: 5.323e-03, eta: 17:21:35, time: 2.083, data_time: 0.059, memory: 20170, loss_cls: 0.4598, loss_offset: 1.0564, loss_depth: 2.1273, loss_size: 1.7325, loss_rotsin: 0.5239, loss_centerness: 0.5971, loss_velo: 0.0598, loss_dir: 0.6935, loss_attr: 0.9765, loss: 8.2269, grad_norm: 20.2812
2021-08-17 16:10:58,360 - mmdet - INFO - Epoch [1][300/2217]	lr: 5.856e-03, eta: 16:59:09, time: 2.091, data_time: 0.060, memory: 20170, loss_cls: 0.4429, loss_offset: 1.0333, loss_depth: 2.5085, loss_size: 1.6466, loss_rotsin: 0.5208, loss_centerness: 0.5959, loss_velo: 0.0614, loss_dir: 0.6910, loss_attr: 0.9547, loss: 8.4552, grad_norm: 20.8473
2021-08-17 16:12:42,472 - mmdet - INFO - Epoch [1][350/2217]	lr: 6.389e-03, eta: 16:42:03, time: 2.082, data_time: 0.059, memory: 20170, loss_cls: 0.4372, loss_offset: 1.0234, loss_depth: 2.1485, loss_size: 1.5760, loss_rotsin: 0.5193, loss_centerness: 0.5945, loss_velo: 0.0638, loss_dir: 0.6895, loss_attr: 0.9405, loss: 7.9928, grad_norm: 15.3677
2021-08-17 16:14:26,892 - mmdet - INFO - Epoch [1][400/2217]	lr: 6.923e-03, eta: 16:29:08, time: 2.088, data_time: 0.058, memory: 20170, loss_cls: 0.4273, loss_offset: 1.0047, loss_depth: 1.9649, loss_size: 1.5133, loss_rotsin: 0.5172, loss_centerness: 0.5936, loss_velo: 0.0614, loss_dir: 0.6926, loss_attr: 0.8787, loss: 7.6538, grad_norm: 17.4869
2021-08-17 16:16:10,334 - mmdet - INFO - Epoch [1][450/2217]	lr: 7.456e-03, eta: 16:17:45, time: 2.069, data_time: 0.061, memory: 20170, loss_cls: 0.4234, loss_offset: 0.9819, loss_depth: 1.6697, loss_size: 1.4951, loss_rotsin: 0.5170, loss_centerness: 0.5925, loss_velo: 0.0614, loss_dir: 0.6878, loss_attr: 0.8692, loss: 7.2979, grad_norm: 12.4495
2021-08-17 16:17:53,845 - mmdet - INFO - Epoch [1][500/2217]	lr: 7.989e-03, eta: 16:08:22, time: 2.070, data_time: 0.061, memory: 20170, loss_cls: 0.4196, loss_offset: 0.9787, loss_depth: 1.8225, loss_size: 1.4762, loss_rotsin: 0.5134, loss_centerness: 0.5921, loss_velo: 0.0602, loss_dir: 0.6890, loss_attr: 0.8748, loss: 7.4265, grad_norm: 13.0913
2021-08-17 16:19:37,496 - mmdet - INFO - Epoch [1][550/2217]	lr: 8.000e-03, eta: 16:00:28, time: 2.073, data_time: 0.059, memory: 20170, loss_cls: 0.4091, loss_offset: 0.9512, loss_depth: 1.4257, loss_size: 1.4388, loss_rotsin: 0.5139, loss_centerness: 0.5913, loss_velo: 0.0605, loss_dir: 0.6836, loss_attr: 0.8393, loss: 6.9134, grad_norm: 11.3532
2021-08-17 16:21:21,201 - mmdet - INFO - Epoch [1][600/2217]	lr: 8.000e-03, eta: 15:53:39, time: 2.074, data_time: 0.060, memory: 20170, loss_cls: 0.4070, loss_offset: 0.9441, loss_depth: 1.4903, loss_size: 1.3748, loss_rotsin: 0.4995, loss_centerness: 0.5912, loss_velo: 0.0626, loss_dir: 0.6828, loss_attr: 0.8369, loss: 6.8891, grad_norm: 10.6201
2021-08-17 16:23:04,699 - mmdet - INFO - Epoch [1][650/2217]	lr: 8.000e-03, eta: 15:47:29, time: 2.070, data_time: 0.060, memory: 20170, loss_cls: 0.4043, loss_offset: 0.9241, loss_depth: 1.3878, loss_size: 1.3958, loss_rotsin: 0.5037, loss_centerness: 0.5903, loss_velo: 0.0619, loss_dir: 0.6806, loss_attr: 0.8194, loss: 6.7678, grad_norm: 9.7412
2021-08-17 16:24:47,883 - mmdet - INFO - Epoch [1][700/2217]	lr: 8.000e-03, eta: 15:41:45, time: 2.064, data_time: 0.060, memory: 20170, loss_cls: 0.3923, loss_offset: 0.9292, loss_depth: 1.4876, loss_size: 1.3778, loss_rotsin: 0.5055, loss_centerness: 0.5904, loss_velo: 0.0599, loss_dir: 0.6774, loss_attr: 0.7970, loss: 6.8171, grad_norm: 10.2380
2021-08-17 16:26:31,016 - mmdet - INFO - Epoch [1][750/2217]	lr: 8.000e-03, eta: 15:36:31, time: 2.063, data_time: 0.058, memory: 20170, loss_cls: 0.3900, loss_offset: 0.9222, loss_depth: 1.4244, loss_size: 1.2875, loss_rotsin: 0.4974, loss_centerness: 0.5894, loss_velo: 0.0625, loss_dir: 0.6720, loss_attr: 0.7834, loss: 6.6287, grad_norm: 9.2625
2021-08-17 16:28:14,813 - mmdet - INFO - Epoch [1][800/2217]	lr: 8.000e-03, eta: 15:32:05, time: 2.076, data_time: 0.061, memory: 20170, loss_cls: 0.3862, loss_offset: 0.8963, loss_depth: 1.2710, loss_size: 1.3001, loss_rotsin: 0.4988, loss_centerness: 0.5885, loss_velo: 0.0643, loss_dir: 0.6667, loss_attr: 0.7603, loss: 6.4320, grad_norm: 8.4338
2021-08-17 16:29:58,795 - mmdet - INFO - Epoch [1][850/2217]	lr: 8.000e-03, eta: 15:28:04, time: 2.080, data_time: 0.062, memory: 20170, loss_cls: 0.3779, loss_offset: 0.8964, loss_depth: 1.2316, loss_size: 1.2531, loss_rotsin: 0.4826, loss_centerness: 0.5882, loss_velo: 0.0615, loss_dir: 0.6629, loss_attr: 0.7326, loss: 6.2867, grad_norm: 7.7503
2021-08-17 16:31:42,597 - mmdet - INFO - Epoch [1][900/2217]	lr: 8.000e-03, eta: 15:24:13, time: 2.076, data_time: 0.059, memory: 20170, loss_cls: 0.3771, loss_offset: 0.8916, loss_depth: 1.2270, loss_size: 1.2240, loss_rotsin: 0.4770, loss_centerness: 0.5882, loss_velo: 0.0588, loss_dir: 0.6593, loss_attr: 0.7305, loss: 6.2334, grad_norm: 8.3982
2021-08-17 16:33:26,435 - mmdet - INFO - Epoch [1][950/2217]	lr: 8.000e-03, eta: 15:20:36, time: 2.077, data_time: 0.060, memory: 20170, loss_cls: 0.3747, loss_offset: 0.8782, loss_depth: 1.1712, loss_size: 1.2322, loss_rotsin: 0.4728, loss_centerness: 0.5877, loss_velo: 0.0625, loss_dir: 0.6548, loss_attr: 0.7440, loss: 6.1781, grad_norm: 7.7629
2021-08-17 16:35:10,302 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-17 16:35:10,303 - mmdet - INFO - Epoch [1][1000/2217]	lr: 8.000e-03, eta: 15:17:11, time: 2.077, data_time: 0.061, memory: 20170, loss_cls: 0.3697, loss_offset: 0.8794, loss_depth: 1.2244, loss_size: 1.2265, loss_rotsin: 0.4704, loss_centerness: 0.5873, loss_velo: 0.0619, loss_dir: 0.6523, loss_attr: 0.7169, loss: 6.1887, grad_norm: 8.3894
2021-08-17 16:36:54,014 - mmdet - INFO - Epoch [1][1050/2217]	lr: 8.000e-03, eta: 15:13:53, time: 2.074, data_time: 0.059, memory: 20170, loss_cls: 0.3628, loss_offset: 0.8594, loss_depth: 1.2141, loss_size: 1.2484, loss_rotsin: 0.4575, loss_centerness: 0.5875, loss_velo: 0.0624, loss_dir: 0.6450, loss_attr: 0.7051, loss: 6.1422, grad_norm: 8.9713
2021-08-17 16:38:37,676 - mmdet - INFO - Epoch [1][1100/2217]	lr: 8.000e-03, eta: 15:10:41, time: 2.073, data_time: 0.058, memory: 20173, loss_cls: 0.3614, loss_offset: 0.8480, loss_depth: 1.2227, loss_size: 1.1891, loss_rotsin: 0.4520, loss_centerness: 0.5865, loss_velo: 0.0641, loss_dir: 0.6387, loss_attr: 0.7014, loss: 6.0640, grad_norm: 8.1417
2021-08-17 16:40:21,771 - mmdet - INFO - Epoch [1][1150/2217]	lr: 8.000e-03, eta: 15:07:47, time: 2.082, data_time: 0.057, memory: 20173, loss_cls: 0.3682, loss_offset: 0.8603, loss_depth: 1.1172, loss_size: 1.1763, loss_rotsin: 0.4523, loss_centerness: 0.5870, loss_velo: 0.0626, loss_dir: 0.6346, loss_attr: 0.7016, loss: 5.9601, grad_norm: 7.4380
2021-08-17 16:42:05,918 - mmdet - INFO - Epoch [1][1200/2217]	lr: 8.000e-03, eta: 15:05:00, time: 2.083, data_time: 0.062, memory: 20173, loss_cls: 0.3581, loss_offset: 0.8510, loss_depth: 1.1299, loss_size: 1.1799, loss_rotsin: 0.4461, loss_centerness: 0.5866, loss_velo: 0.0593, loss_dir: 0.6325, loss_attr: 0.7092, loss: 5.9525, grad_norm: 7.1213
2021-08-17 16:43:49,516 - mmdet - INFO - Epoch [1][1250/2217]	lr: 8.000e-03, eta: 15:02:06, time: 2.072, data_time: 0.058, memory: 20173, loss_cls: 0.3547, loss_offset: 0.8418, loss_depth: 1.1210, loss_size: 1.1156, loss_rotsin: 0.4407, loss_centerness: 0.5859, loss_velo: 0.0589, loss_dir: 0.6273, loss_attr: 0.6656, loss: 5.8115, grad_norm: 7.9142
2021-08-17 16:45:33,094 - mmdet - INFO - Epoch [1][1300/2217]	lr: 8.000e-03, eta: 14:59:18, time: 2.072, data_time: 0.059, memory: 20173, loss_cls: 0.3524, loss_offset: 0.8452, loss_depth: 1.1521, loss_size: 1.1430, loss_rotsin: 0.4331, loss_centerness: 0.5859, loss_velo: 0.0590, loss_dir: 0.6248, loss_attr: 0.6620, loss: 5.8575, grad_norm: 7.9402
2021-08-17 16:47:16,733 - mmdet - INFO - Epoch [1][1350/2217]	lr: 8.000e-03, eta: 14:56:36, time: 2.073, data_time: 0.055, memory: 20173, loss_cls: 0.3556, loss_offset: 0.8360, loss_depth: 1.1595, loss_size: 1.1604, loss_rotsin: 0.4324, loss_centerness: 0.5854, loss_velo: 0.0629, loss_dir: 0.6220, loss_attr: 0.6979, loss: 5.9121, grad_norm: 8.1770
2021-08-17 16:49:00,785 - mmdet - INFO - Epoch [1][1400/2217]	lr: 8.000e-03, eta: 14:54:05, time: 2.081, data_time: 0.060, memory: 20195, loss_cls: 0.3520, loss_offset: 0.8371, loss_depth: 1.0885, loss_size: 1.1283, loss_rotsin: 0.4290, loss_centerness: 0.5857, loss_velo: 0.0611, loss_dir: 0.6177, loss_attr: 0.6666, loss: 5.7660, grad_norm: 8.0902
2021-08-17 16:50:44,967 - mmdet - INFO - Epoch [1][1450/2217]	lr: 8.000e-03, eta: 14:51:40, time: 2.084, data_time: 0.057, memory: 20195, loss_cls: 0.3470, loss_offset: 0.8294, loss_depth: 1.1411, loss_size: 1.1644, loss_rotsin: 0.4314, loss_centerness: 0.5850, loss_velo: 0.0619, loss_dir: 0.6150, loss_attr: 0.6430, loss: 5.8182, grad_norm: 8.4376
2021-08-17 16:52:29,103 - mmdet - INFO - Epoch [1][1500/2217]	lr: 8.000e-03, eta: 14:49:16, time: 2.083, data_time: 0.056, memory: 20195, loss_cls: 0.3499, loss_offset: 0.8211, loss_depth: 1.0738, loss_size: 1.1258, loss_rotsin: 0.4259, loss_centerness: 0.5852, loss_velo: 0.0607, loss_dir: 0.6151, loss_attr: 0.6626, loss: 5.7201, grad_norm: 7.5501
2021-08-17 16:54:12,962 - mmdet - INFO - Epoch [1][1550/2217]	lr: 8.000e-03, eta: 14:46:51, time: 2.077, data_time: 0.060, memory: 20195, loss_cls: 0.3476, loss_offset: 0.8144, loss_depth: 1.1124, loss_size: 1.1102, loss_rotsin: 0.4212, loss_centerness: 0.5848, loss_velo: 0.0603, loss_dir: 0.6148, loss_attr: 0.6297, loss: 5.6953, grad_norm: 7.9234
2021-08-17 16:55:56,459 - mmdet - INFO - Epoch [1][1600/2217]	lr: 8.000e-03, eta: 14:44:23, time: 2.070, data_time: 0.059, memory: 20195, loss_cls: 0.3458, loss_offset: 0.8108, loss_depth: 1.1904, loss_size: 1.0929, loss_rotsin: 0.4069, loss_centerness: 0.5844, loss_velo: 0.0629, loss_dir: 0.6065, loss_attr: 0.6544, loss: 5.7552, grad_norm: 8.6614
2021-08-17 16:57:40,291 - mmdet - INFO - Epoch [1][1650/2217]	lr: 8.000e-03, eta: 14:42:02, time: 2.077, data_time: 0.060, memory: 20195, loss_cls: 0.3454, loss_offset: 0.8131, loss_depth: 1.0910, loss_size: 1.1345, loss_rotsin: 0.4057, loss_centerness: 0.5842, loss_velo: 0.0645, loss_dir: 0.6007, loss_attr: 0.6594, loss: 5.6985, grad_norm: 7.3117
2021-08-17 16:59:23,859 - mmdet - INFO - Epoch [1][1700/2217]	lr: 8.000e-03, eta: 14:39:40, time: 2.071, data_time: 0.055, memory: 20195, loss_cls: 0.3390, loss_offset: 0.8080, loss_depth: 1.0576, loss_size: 1.0973, loss_rotsin: 0.3983, loss_centerness: 0.5842, loss_velo: 0.0630, loss_dir: 0.6047, loss_attr: 0.6216, loss: 5.5737, grad_norm: 7.3930
2021-08-17 17:01:06,912 - mmdet - INFO - Epoch [1][1750/2217]	lr: 8.000e-03, eta: 14:37:12, time: 2.061, data_time: 0.060, memory: 20195, loss_cls: 0.3387, loss_offset: 0.8017, loss_depth: 1.0390, loss_size: 1.0674, loss_rotsin: 0.4043, loss_centerness: 0.5840, loss_velo: 0.0586, loss_dir: 0.5988, loss_attr: 0.6229, loss: 5.5153, grad_norm: 7.2822
2021-08-17 17:02:49,820 - mmdet - INFO - Epoch [1][1800/2217]	lr: 8.000e-03, eta: 14:34:46, time: 2.058, data_time: 0.059, memory: 20195, loss_cls: 0.3401, loss_offset: 0.8027, loss_depth: 1.1543, loss_size: 1.0611, loss_rotsin: 0.3953, loss_centerness: 0.5839, loss_velo: 0.0613, loss_dir: 0.5959, loss_attr: 0.6326, loss: 5.6271, grad_norm: 8.5373
2021-08-17 17:04:33,060 - mmdet - INFO - Epoch [1][1850/2217]	lr: 8.000e-03, eta: 14:32:25, time: 2.065, data_time: 0.060, memory: 20195, loss_cls: 0.3350, loss_offset: 0.7928, loss_depth: 1.0457, loss_size: 1.0485, loss_rotsin: 0.3914, loss_centerness: 0.5835, loss_velo: 0.0645, loss_dir: 0.5880, loss_attr: 0.6081, loss: 5.4575, grad_norm: 7.4626
2021-08-17 17:06:15,918 - mmdet - INFO - Epoch [1][1900/2217]	lr: 8.000e-03, eta: 14:30:02, time: 2.057, data_time: 0.058, memory: 20195, loss_cls: 0.3319, loss_offset: 0.7862, loss_depth: 1.1485, loss_size: 1.0612, loss_rotsin: 0.3938, loss_centerness: 0.5835, loss_velo: 0.0644, loss_dir: 0.5920, loss_attr: 0.6158, loss: 5.5774, grad_norm: 8.1946
2021-08-17 17:07:59,586 - mmdet - INFO - Epoch [1][1950/2217]	lr: 8.000e-03, eta: 14:27:52, time: 2.073, data_time: 0.059, memory: 20195, loss_cls: 0.3347, loss_offset: 0.7957, loss_depth: 1.0601, loss_size: 1.1149, loss_rotsin: 0.3956, loss_centerness: 0.5837, loss_velo: 0.0618, loss_dir: 0.5922, loss_attr: 0.6118, loss: 5.5506, grad_norm: 7.7123
2021-08-17 17:09:42,858 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-17 17:09:42,858 - mmdet - INFO - Epoch [1][2000/2217]	lr: 8.000e-03, eta: 14:25:37, time: 2.065, data_time: 0.054, memory: 20195, loss_cls: 0.3325, loss_offset: 0.7838, loss_depth: 1.0728, loss_size: 1.0675, loss_rotsin: 0.3901, loss_centerness: 0.5829, loss_velo: 0.0636, loss_dir: 0.5838, loss_attr: 0.6189, loss: 5.4959, grad_norm: 7.5540
2021-08-17 17:11:26,417 - mmdet - INFO - Epoch [1][2050/2217]	lr: 8.000e-03, eta: 14:23:28, time: 2.071, data_time: 0.056, memory: 20195, loss_cls: 0.3274, loss_offset: 0.7830, loss_depth: 1.0374, loss_size: 1.0587, loss_rotsin: 0.3839, loss_centerness: 0.5830, loss_velo: 0.0629, loss_dir: 0.5783, loss_attr: 0.6140, loss: 5.4286, grad_norm: 7.5329
2021-08-17 17:13:10,893 - mmdet - INFO - Epoch [1][2100/2217]	lr: 8.000e-03, eta: 14:21:30, time: 2.090, data_time: 0.063, memory: 20195, loss_cls: 0.3318, loss_offset: 0.7820, loss_depth: 1.1487, loss_size: 1.0495, loss_rotsin: 0.3883, loss_centerness: 0.5825, loss_velo: 0.0589, loss_dir: 0.5874, loss_attr: 0.5786, loss: 5.5077, grad_norm: 8.6898
2021-08-17 17:14:55,021 - mmdet - INFO - Epoch [1][2150/2217]	lr: 8.000e-03, eta: 14:19:30, time: 2.083, data_time: 0.057, memory: 20195, loss_cls: 0.3263, loss_offset: 0.7756, loss_depth: 1.0094, loss_size: 1.0102, loss_rotsin: 0.3778, loss_centerness: 0.5829, loss_velo: 0.0594, loss_dir: 0.5816, loss_attr: 0.5896, loss: 5.3128, grad_norm: 7.3155
2021-08-17 17:16:38,809 - mmdet - INFO - Epoch [1][2200/2217]	lr: 8.000e-03, eta: 14:17:26, time: 2.076, data_time: 0.055, memory: 20195, loss_cls: 0.3302, loss_offset: 0.7809, loss_depth: 1.1140, loss_size: 1.0282, loss_rotsin: 0.3867, loss_centerness: 0.5831, loss_velo: 0.0642, loss_dir: 0.5868, loss_attr: 0.5932, loss: 5.4671, grad_norm: 8.6053
2021-08-17 17:17:14,726 - mmdet - INFO - Saving checkpoint at 1 epochs
2021-08-17 17:19:06,900 - mmdet - INFO - Epoch [2][50/2217]	lr: 8.000e-03, eta: 14:09:40, time: 2.220, data_time: 0.205, memory: 20195, loss_cls: 0.3256, loss_offset: 0.7723, loss_depth: 1.0303, loss_size: 0.9871, loss_rotsin: 0.3777, loss_centerness: 0.5831, loss_velo: 0.0610, loss_dir: 0.5748, loss_attr: 0.5726, loss: 5.2844, grad_norm: 7.5305
2021-08-17 17:20:50,437 - mmdet - INFO - Epoch [2][100/2217]	lr: 8.000e-03, eta: 14:07:42, time: 2.071, data_time: 0.057, memory: 20195, loss_cls: 0.3218, loss_offset: 0.7681, loss_depth: 1.0703, loss_size: 1.0194, loss_rotsin: 0.3748, loss_centerness: 0.5824, loss_velo: 0.0617, loss_dir: 0.5838, loss_attr: 0.5757, loss: 5.3580, grad_norm: 8.1695
2021-08-17 17:22:33,499 - mmdet - INFO - Epoch [2][150/2217]	lr: 8.000e-03, eta: 14:05:41, time: 2.061, data_time: 0.055, memory: 20195, loss_cls: 0.3248, loss_offset: 0.7693, loss_depth: 0.9894, loss_size: 0.9727, loss_rotsin: 0.3704, loss_centerness: 0.5826, loss_velo: 0.0595, loss_dir: 0.5761, loss_attr: 0.5499, loss: 5.1948, grad_norm: 7.1592
2021-08-17 17:24:16,307 - mmdet - INFO - Epoch [2][200/2217]	lr: 8.000e-03, eta: 14:03:37, time: 2.056, data_time: 0.055, memory: 20195, loss_cls: 0.3256, loss_offset: 0.7680, loss_depth: 1.0248, loss_size: 1.0135, loss_rotsin: 0.3678, loss_centerness: 0.5829, loss_velo: 0.0612, loss_dir: 0.5725, loss_attr: 0.5589, loss: 5.2751, grad_norm: 7.5411
2021-08-17 17:25:59,561 - mmdet - INFO - Epoch [2][250/2217]	lr: 8.000e-03, eta: 14:01:39, time: 2.065, data_time: 0.056, memory: 20195, loss_cls: 0.3221, loss_offset: 0.7617, loss_depth: 0.9953, loss_size: 1.0110, loss_rotsin: 0.3630, loss_centerness: 0.5822, loss_velo: 0.0589, loss_dir: 0.5715, loss_attr: 0.5719, loss: 5.2375, grad_norm: 7.3857
2021-08-17 17:27:41,968 - mmdet - INFO - Epoch [2][300/2217]	lr: 8.000e-03, eta: 13:59:34, time: 2.048, data_time: 0.058, memory: 20195, loss_cls: 0.3169, loss_offset: 0.7617, loss_depth: 0.9701, loss_size: 0.9595, loss_rotsin: 0.3579, loss_centerness: 0.5822, loss_velo: 0.0628, loss_dir: 0.5647, loss_attr: 0.5599, loss: 5.1356, grad_norm: 7.2501
2021-08-17 17:29:24,869 - mmdet - INFO - Epoch [2][350/2217]	lr: 8.000e-03, eta: 13:57:33, time: 2.058, data_time: 0.058, memory: 20195, loss_cls: 0.3189, loss_offset: 0.7557, loss_depth: 0.9347, loss_size: 0.9658, loss_rotsin: 0.3626, loss_centerness: 0.5823, loss_velo: 0.0584, loss_dir: 0.5664, loss_attr: 0.5592, loss: 5.1039, grad_norm: 6.9219
2021-08-17 17:31:08,228 - mmdet - INFO - Epoch [2][400/2217]	lr: 8.000e-03, eta: 13:55:38, time: 2.067, data_time: 0.055, memory: 20195, loss_cls: 0.3163, loss_offset: 0.7637, loss_depth: 1.0033, loss_size: 1.0027, loss_rotsin: 0.3569, loss_centerness: 0.5820, loss_velo: 0.0610, loss_dir: 0.5661, loss_attr: 0.5352, loss: 5.1872, grad_norm: 8.1824
2021-08-17 17:32:52,743 - mmdet - INFO - Epoch [2][450/2217]	lr: 8.000e-03, eta: 13:53:54, time: 2.090, data_time: 0.058, memory: 20195, loss_cls: 0.3176, loss_offset: 0.7517, loss_depth: 1.0179, loss_size: 0.9931, loss_rotsin: 0.3518, loss_centerness: 0.5816, loss_velo: 0.0606, loss_dir: 0.5618, loss_attr: 0.5370, loss: 5.1731, grad_norm: 7.8111
2021-08-17 17:34:37,193 - mmdet - INFO - Epoch [2][500/2217]	lr: 8.000e-03, eta: 13:52:08, time: 2.089, data_time: 0.061, memory: 20195, loss_cls: 0.3152, loss_offset: 0.7517, loss_depth: 0.9227, loss_size: 0.9722, loss_rotsin: 0.3548, loss_centerness: 0.5814, loss_velo: 0.0611, loss_dir: 0.5599, loss_attr: 0.5314, loss: 5.0505, grad_norm: 7.0899
2021-08-17 17:36:22,076 - mmdet - INFO - Epoch [2][550/2217]	lr: 8.000e-03, eta: 13:50:27, time: 2.098, data_time: 0.058, memory: 20195, loss_cls: 0.3169, loss_offset: 0.7506, loss_depth: 0.9860, loss_size: 0.9613, loss_rotsin: 0.3551, loss_centerness: 0.5815, loss_velo: 0.0617, loss_dir: 0.5543, loss_attr: 0.5520, loss: 5.1194, grad_norm: 7.7157
2021-08-17 17:38:06,355 - mmdet - INFO - Epoch [2][600/2217]	lr: 8.000e-03, eta: 13:48:41, time: 2.086, data_time: 0.060, memory: 20195, loss_cls: 0.3140, loss_offset: 0.7509, loss_depth: 1.0249, loss_size: 0.9810, loss_rotsin: 0.3538, loss_centerness: 0.5815, loss_velo: 0.0605, loss_dir: 0.5535, loss_attr: 0.5402, loss: 5.1604, grad_norm: 8.3446
2021-08-17 17:39:51,069 - mmdet - INFO - Epoch [2][650/2217]	lr: 8.000e-03, eta: 13:46:58, time: 2.094, data_time: 0.057, memory: 20195, loss_cls: 0.3205, loss_offset: 0.7512, loss_depth: 1.0187, loss_size: 1.0060, loss_rotsin: 0.3510, loss_centerness: 0.5815, loss_velo: 0.0620, loss_dir: 0.5567, loss_attr: 0.5530, loss: 5.2006, grad_norm: 8.0174
2021-08-17 17:41:35,687 - mmdet - INFO - Epoch [2][700/2217]	lr: 8.000e-03, eta: 13:45:14, time: 2.092, data_time: 0.060, memory: 20195, loss_cls: 0.3128, loss_offset: 0.7436, loss_depth: 0.9915, loss_size: 0.9351, loss_rotsin: 0.3522, loss_centerness: 0.5808, loss_velo: 0.0605, loss_dir: 0.5613, loss_attr: 0.5308, loss: 5.0686, grad_norm: 7.9365
2021-08-17 17:43:19,887 - mmdet - INFO - Epoch [2][750/2217]	lr: 8.000e-03, eta: 13:43:27, time: 2.084, data_time: 0.056, memory: 20195, loss_cls: 0.3165, loss_offset: 0.7524, loss_depth: 1.0128, loss_size: 0.9576, loss_rotsin: 0.3521, loss_centerness: 0.5816, loss_velo: 0.0602, loss_dir: 0.5624, loss_attr: 0.5287, loss: 5.1243, grad_norm: 7.5636
2021-08-17 17:45:03,889 - mmdet - INFO - Epoch [2][800/2217]	lr: 8.000e-03, eta: 13:41:39, time: 2.080, data_time: 0.057, memory: 20195, loss_cls: 0.3116, loss_offset: 0.7467, loss_depth: 0.9230, loss_size: 0.9636, loss_rotsin: 0.3519, loss_centerness: 0.5813, loss_velo: 0.0611, loss_dir: 0.5582, loss_attr: 0.5285, loss: 5.0258, grad_norm: 6.9015
2021-08-17 17:46:47,566 - mmdet - INFO - Epoch [2][850/2217]	lr: 8.000e-03, eta: 13:39:48, time: 2.074, data_time: 0.060, memory: 20195, loss_cls: 0.3132, loss_offset: 0.7487, loss_depth: 0.9282, loss_size: 0.9627, loss_rotsin: 0.3471, loss_centerness: 0.5816, loss_velo: 0.0601, loss_dir: 0.5575, loss_attr: 0.5442, loss: 5.0433, grad_norm: 7.1847
2021-08-17 17:48:31,126 - mmdet - INFO - Epoch [2][900/2217]	lr: 8.000e-03, eta: 13:37:56, time: 2.071, data_time: 0.060, memory: 20195, loss_cls: 0.3082, loss_offset: 0.7364, loss_depth: 0.9934, loss_size: 0.9569, loss_rotsin: 0.3427, loss_centerness: 0.5813, loss_velo: 0.0631, loss_dir: 0.5502, loss_attr: 0.5252, loss: 5.0572, grad_norm: 7.8060
2021-08-17 17:50:14,888 - mmdet - INFO - Epoch [2][950/2217]	lr: 8.000e-03, eta: 13:36:06, time: 2.075, data_time: 0.061, memory: 20195, loss_cls: 0.3113, loss_offset: 0.7435, loss_depth: 0.9093, loss_size: 0.9538, loss_rotsin: 0.3405, loss_centerness: 0.5814, loss_velo: 0.0596, loss_dir: 0.5556, loss_attr: 0.5348, loss: 4.9897, grad_norm: 6.7631
2021-08-17 17:51:58,850 - mmdet - INFO - Epoch [2][1000/2217]	lr: 8.000e-03, eta: 13:34:18, time: 2.079, data_time: 0.059, memory: 20195, loss_cls: 0.3156, loss_offset: 0.7403, loss_depth: 0.9323, loss_size: 0.9540, loss_rotsin: 0.3465, loss_centerness: 0.5811, loss_velo: 0.0606, loss_dir: 0.5504, loss_attr: 0.5350, loss: 5.0157, grad_norm: 7.4704
2021-08-17 17:53:42,371 - mmdet - INFO - Epoch [2][1050/2217]	lr: 8.000e-03, eta: 13:32:27, time: 2.070, data_time: 0.060, memory: 20195, loss_cls: 0.3096, loss_offset: 0.7407, loss_depth: 0.9881, loss_size: 0.9347, loss_rotsin: 0.3405, loss_centerness: 0.5810, loss_velo: 0.0621, loss_dir: 0.5474, loss_attr: 0.5338, loss: 5.0379, grad_norm: 7.8760
2021-08-17 17:55:26,277 - mmdet - INFO - Epoch [2][1100/2217]	lr: 8.000e-03, eta: 13:30:39, time: 2.078, data_time: 0.059, memory: 20195, loss_cls: 0.3103, loss_offset: 0.7396, loss_depth: 0.9713, loss_size: 0.9491, loss_rotsin: 0.3489, loss_centerness: 0.5808, loss_velo: 0.0639, loss_dir: 0.5439, loss_attr: 0.5264, loss: 5.0342, grad_norm: 7.4597
2021-08-17 17:57:09,704 - mmdet - INFO - Epoch [2][1150/2217]	lr: 8.000e-03, eta: 13:28:48, time: 2.069, data_time: 0.057, memory: 20195, loss_cls: 0.3064, loss_offset: 0.7251, loss_depth: 0.9429, loss_size: 0.9017, loss_rotsin: 0.3281, loss_centerness: 0.5803, loss_velo: 0.0625, loss_dir: 0.5411, loss_attr: 0.5045, loss: 4.8927, grad_norm: 7.6257
2021-08-17 17:58:52,979 - mmdet - INFO - Epoch [2][1200/2217]	lr: 8.000e-03, eta: 13:26:55, time: 2.065, data_time: 0.059, memory: 20195, loss_cls: 0.3105, loss_offset: 0.7245, loss_depth: 0.9252, loss_size: 0.9199, loss_rotsin: 0.3380, loss_centerness: 0.5806, loss_velo: 0.0647, loss_dir: 0.5495, loss_attr: 0.5314, loss: 4.9442, grad_norm: 7.3732
2021-08-17 18:00:35,895 - mmdet - INFO - Epoch [2][1250/2217]	lr: 8.000e-03, eta: 13:25:01, time: 2.058, data_time: 0.059, memory: 20195, loss_cls: 0.3084, loss_offset: 0.7294, loss_depth: 0.8934, loss_size: 0.9178, loss_rotsin: 0.3344, loss_centerness: 0.5803, loss_velo: 0.0603, loss_dir: 0.5427, loss_attr: 0.5417, loss: 4.9084, grad_norm: 6.9132
2021-08-17 18:02:19,318 - mmdet - INFO - Epoch [2][1300/2217]	lr: 8.000e-03, eta: 13:23:10, time: 2.068, data_time: 0.070, memory: 20195, loss_cls: 0.3052, loss_offset: 0.7270, loss_depth: 0.9769, loss_size: 0.9176, loss_rotsin: 0.3371, loss_centerness: 0.5806, loss_velo: 0.0594, loss_dir: 0.5385, loss_attr: 0.5116, loss: 4.9537, grad_norm: 7.8889
2021-08-17 18:04:02,382 - mmdet - INFO - Epoch [2][1350/2217]	lr: 8.000e-03, eta: 13:21:18, time: 2.061, data_time: 0.067, memory: 20195, loss_cls: 0.3040, loss_offset: 0.7215, loss_depth: 0.9405, loss_size: 0.9497, loss_rotsin: 0.3289, loss_centerness: 0.5801, loss_velo: 0.0652, loss_dir: 0.5333, loss_attr: 0.5097, loss: 4.9327, grad_norm: 7.7435
2021-08-17 18:05:45,446 - mmdet - INFO - Epoch [2][1400/2217]	lr: 8.000e-03, eta: 13:19:25, time: 2.061, data_time: 0.064, memory: 20195, loss_cls: 0.3039, loss_offset: 0.7295, loss_depth: 0.9315, loss_size: 0.9232, loss_rotsin: 0.3416, loss_centerness: 0.5805, loss_velo: 0.0624, loss_dir: 0.5413, loss_attr: 0.5058, loss: 4.9195, grad_norm: 7.3260
2021-08-17 18:07:29,092 - mmdet - INFO - Epoch [2][1450/2217]	lr: 8.000e-03, eta: 13:17:36, time: 2.073, data_time: 0.063, memory: 20195, loss_cls: 0.3040, loss_offset: 0.7227, loss_depth: 0.9009, loss_size: 0.9303, loss_rotsin: 0.3286, loss_centerness: 0.5801, loss_velo: 0.0627, loss_dir: 0.5338, loss_attr: 0.5195, loss: 4.8825, grad_norm: 7.0219
2021-08-17 18:09:12,394 - mmdet - INFO - Epoch [2][1500/2217]	lr: 8.000e-03, eta: 13:15:46, time: 2.066, data_time: 0.066, memory: 20195, loss_cls: 0.3022, loss_offset: 0.7150, loss_depth: 0.9214, loss_size: 0.9230, loss_rotsin: 0.3231, loss_centerness: 0.5798, loss_velo: 0.0618, loss_dir: 0.5327, loss_attr: 0.5014, loss: 4.8603, grad_norm: 7.4723
2021-08-17 18:10:55,573 - mmdet - INFO - Epoch [2][1550/2217]	lr: 8.000e-03, eta: 13:13:55, time: 2.064, data_time: 0.063, memory: 20195, loss_cls: 0.3073, loss_offset: 0.7281, loss_depth: 0.9538, loss_size: 0.9157, loss_rotsin: 0.3308, loss_centerness: 0.5806, loss_velo: 0.0638, loss_dir: 0.5321, loss_attr: 0.5177, loss: 4.9299, grad_norm: 7.5720
2021-08-17 18:12:38,944 - mmdet - INFO - Epoch [2][1600/2217]	lr: 8.000e-03, eta: 13:12:05, time: 2.067, data_time: 0.067, memory: 20195, loss_cls: 0.3001, loss_offset: 0.7210, loss_depth: 0.9883, loss_size: 0.9079, loss_rotsin: 0.3147, loss_centerness: 0.5801, loss_velo: 0.0608, loss_dir: 0.5270, loss_attr: 0.5016, loss: 4.9014, grad_norm: 8.3760
2021-08-17 18:14:22,151 - mmdet - INFO - Epoch [2][1650/2217]	lr: 8.000e-03, eta: 13:10:14, time: 2.064, data_time: 0.065, memory: 20195, loss_cls: 0.3004, loss_offset: 0.7175, loss_depth: 0.9581, loss_size: 0.8967, loss_rotsin: 0.3258, loss_centerness: 0.5805, loss_velo: 0.0600, loss_dir: 0.5204, loss_attr: 0.5067, loss: 4.8661, grad_norm: 7.9068
2021-08-17 18:16:05,323 - mmdet - INFO - Epoch [2][1700/2217]	lr: 8.000e-03, eta: 13:08:24, time: 2.064, data_time: 0.064, memory: 20195, loss_cls: 0.3049, loss_offset: 0.7160, loss_depth: 0.9728, loss_size: 0.9289, loss_rotsin: 0.3262, loss_centerness: 0.5804, loss_velo: 0.0598, loss_dir: 0.5327, loss_attr: 0.4841, loss: 4.9057, grad_norm: 7.9856
2021-08-17 18:17:48,622 - mmdet - INFO - Epoch [2][1750/2217]	lr: 8.000e-03, eta: 13:06:34, time: 2.066, data_time: 0.066, memory: 20195, loss_cls: 0.3022, loss_offset: 0.7218, loss_depth: 0.9037, loss_size: 0.8770, loss_rotsin: 0.3213, loss_centerness: 0.5803, loss_velo: 0.0630, loss_dir: 0.5299, loss_attr: 0.4906, loss: 4.7896, grad_norm: 7.0212
2021-08-17 18:19:31,719 - mmdet - INFO - Epoch [2][1800/2217]	lr: 8.000e-03, eta: 13:04:43, time: 2.062, data_time: 0.064, memory: 20195, loss_cls: 0.3013, loss_offset: 0.7102, loss_depth: 0.9449, loss_size: 0.9162, loss_rotsin: 0.3166, loss_centerness: 0.5794, loss_velo: 0.0628, loss_dir: 0.5290, loss_attr: 0.4929, loss: 4.8534, grad_norm: 7.7521
2021-08-17 18:21:14,870 - mmdet - INFO - Epoch [2][1850/2217]	lr: 8.000e-03, eta: 13:02:53, time: 2.063, data_time: 0.062, memory: 20195, loss_cls: 0.2965, loss_offset: 0.7122, loss_depth: 0.9257, loss_size: 0.8680, loss_rotsin: 0.3106, loss_centerness: 0.5798, loss_velo: 0.0609, loss_dir: 0.5268, loss_attr: 0.4781, loss: 4.7585, grad_norm: 7.6994
2021-08-17 18:22:58,302 - mmdet - INFO - Epoch [2][1900/2217]	lr: 8.000e-03, eta: 13:01:04, time: 2.069, data_time: 0.067, memory: 20195, loss_cls: 0.2970, loss_offset: 0.7125, loss_depth: 0.9411, loss_size: 0.8844, loss_rotsin: 0.3132, loss_centerness: 0.5801, loss_velo: 0.0592, loss_dir: 0.5286, loss_attr: 0.4711, loss: 4.7872, grad_norm: 7.9689
2021-08-17 18:24:41,574 - mmdet - INFO - Epoch [2][1950/2217]	lr: 8.000e-03, eta: 12:59:15, time: 2.065, data_time: 0.074, memory: 20195, loss_cls: 0.2971, loss_offset: 0.7049, loss_depth: 0.8671, loss_size: 0.8965, loss_rotsin: 0.3083, loss_centerness: 0.5796, loss_velo: 0.0646, loss_dir: 0.5200, loss_attr: 0.4936, loss: 4.7317, grad_norm: 6.4773
2021-08-17 18:26:24,758 - mmdet - INFO - Epoch [2][2000/2217]	lr: 8.000e-03, eta: 12:57:26, time: 2.064, data_time: 0.068, memory: 20195, loss_cls: 0.2989, loss_offset: 0.7052, loss_depth: 0.8722, loss_size: 0.8899, loss_rotsin: 0.3132, loss_centerness: 0.5798, loss_velo: 0.0613, loss_dir: 0.5267, loss_attr: 0.4924, loss: 4.7395, grad_norm: 7.2441
2021-08-17 18:28:07,791 - mmdet - INFO - Epoch [2][2050/2217]	lr: 8.000e-03, eta: 12:55:36, time: 2.061, data_time: 0.070, memory: 20195, loss_cls: 0.3003, loss_offset: 0.7085, loss_depth: 0.9558, loss_size: 0.9068, loss_rotsin: 0.3128, loss_centerness: 0.5797, loss_velo: 0.0606, loss_dir: 0.5229, loss_attr: 0.4922, loss: 4.8395, grad_norm: 8.0839
2021-08-17 18:29:50,884 - mmdet - INFO - Epoch [2][2100/2217]	lr: 8.000e-03, eta: 12:53:46, time: 2.062, data_time: 0.066, memory: 20195, loss_cls: 0.2965, loss_offset: 0.7085, loss_depth: 0.9249, loss_size: 0.8729, loss_rotsin: 0.3036, loss_centerness: 0.5793, loss_velo: 0.0628, loss_dir: 0.5070, loss_attr: 0.4570, loss: 4.7125, grad_norm: 7.3811
2021-08-17 18:31:34,103 - mmdet - INFO - Epoch [2][2150/2217]	lr: 8.000e-03, eta: 12:51:57, time: 2.064, data_time: 0.067, memory: 20195, loss_cls: 0.2944, loss_offset: 0.7094, loss_depth: 0.8622, loss_size: 0.8578, loss_rotsin: 0.3038, loss_centerness: 0.5796, loss_velo: 0.0609, loss_dir: 0.5177, loss_attr: 0.4778, loss: 4.6635, grad_norm: 6.7897
2021-08-17 18:33:17,494 - mmdet - INFO - Epoch [2][2200/2217]	lr: 8.000e-03, eta: 12:50:09, time: 2.068, data_time: 0.060, memory: 20195, loss_cls: 0.3011, loss_offset: 0.7109, loss_depth: 0.9773, loss_size: 0.9244, loss_rotsin: 0.3118, loss_centerness: 0.5797, loss_velo: 0.0631, loss_dir: 0.5209, loss_attr: 0.4950, loss: 4.8842, grad_norm: 8.1829
2021-08-17 18:33:53,279 - mmdet - INFO - Saving checkpoint at 2 epochs
2021-08-17 18:35:45,740 - mmdet - INFO - Epoch [3][50/2217]	lr: 8.000e-03, eta: 12:45:30, time: 2.226, data_time: 0.215, memory: 20195, loss_cls: 0.2917, loss_offset: 0.6931, loss_depth: 0.8612, loss_size: 0.8473, loss_rotsin: 0.3012, loss_centerness: 0.5792, loss_velo: 0.0607, loss_dir: 0.5056, loss_attr: 0.4295, loss: 4.5695, grad_norm: 7.4053
2021-08-17 18:37:28,838 - mmdet - INFO - Epoch [3][100/2217]	lr: 8.000e-03, eta: 12:43:43, time: 2.062, data_time: 0.058, memory: 20195, loss_cls: 0.2915, loss_offset: 0.6905, loss_depth: 0.8432, loss_size: 0.8600, loss_rotsin: 0.3036, loss_centerness: 0.5791, loss_velo: 0.0606, loss_dir: 0.5093, loss_attr: 0.4535, loss: 4.5913, grad_norm: 7.2038
2021-08-17 18:39:11,351 - mmdet - INFO - Epoch [3][150/2217]	lr: 8.000e-03, eta: 12:41:53, time: 2.050, data_time: 0.057, memory: 20195, loss_cls: 0.2928, loss_offset: 0.6960, loss_depth: 0.8167, loss_size: 0.8327, loss_rotsin: 0.3039, loss_centerness: 0.5793, loss_velo: 0.0632, loss_dir: 0.5114, loss_attr: 0.4571, loss: 4.5531, grad_norm: 6.8449
2021-08-17 18:40:53,782 - mmdet - INFO - Epoch [3][200/2217]	lr: 8.000e-03, eta: 12:40:02, time: 2.049, data_time: 0.058, memory: 20195, loss_cls: 0.2912, loss_offset: 0.6941, loss_depth: 0.8704, loss_size: 0.8411, loss_rotsin: 0.3069, loss_centerness: 0.5798, loss_velo: 0.0609, loss_dir: 0.5088, loss_attr: 0.4508, loss: 4.6040, grad_norm: 7.3849
2021-08-17 18:42:37,048 - mmdet - INFO - Epoch [3][250/2217]	lr: 8.000e-03, eta: 12:38:16, time: 2.065, data_time: 0.063, memory: 20195, loss_cls: 0.2909, loss_offset: 0.6945, loss_depth: 0.9048, loss_size: 0.8588, loss_rotsin: 0.2971, loss_centerness: 0.5791, loss_velo: 0.0646, loss_dir: 0.5064, loss_attr: 0.4481, loss: 4.6442, grad_norm: 7.8431
2021-08-17 18:44:19,832 - mmdet - INFO - Epoch [3][300/2217]	lr: 8.000e-03, eta: 12:36:28, time: 2.056, data_time: 0.060, memory: 20195, loss_cls: 0.2866, loss_offset: 0.6844, loss_depth: 0.8950, loss_size: 0.8146, loss_rotsin: 0.3102, loss_centerness: 0.5786, loss_velo: 0.0611, loss_dir: 0.5061, loss_attr: 0.4293, loss: 4.5658, grad_norm: 7.7514
2021-08-17 18:46:03,003 - mmdet - INFO - Epoch [3][350/2217]	lr: 8.000e-03, eta: 12:34:41, time: 2.063, data_time: 0.060, memory: 20195, loss_cls: 0.2927, loss_offset: 0.6895, loss_depth: 0.8967, loss_size: 0.8191, loss_rotsin: 0.3053, loss_centerness: 0.5785, loss_velo: 0.0612, loss_dir: 0.5087, loss_attr: 0.4574, loss: 4.6092, grad_norm: 7.9694
2021-08-17 18:47:46,188 - mmdet - INFO - Epoch [3][400/2217]	lr: 8.000e-03, eta: 12:32:55, time: 2.064, data_time: 0.060, memory: 20195, loss_cls: 0.2874, loss_offset: 0.6901, loss_depth: 0.8771, loss_size: 0.8234, loss_rotsin: 0.2969, loss_centerness: 0.5789, loss_velo: 0.0627, loss_dir: 0.5009, loss_attr: 0.4482, loss: 4.5657, grad_norm: 7.3579
2021-08-17 18:49:29,941 - mmdet - INFO - Epoch [3][450/2217]	lr: 8.000e-03, eta: 12:31:11, time: 2.075, data_time: 0.059, memory: 20195, loss_cls: 0.2914, loss_offset: 0.6944, loss_depth: 0.9695, loss_size: 0.8577, loss_rotsin: 0.2952, loss_centerness: 0.5788, loss_velo: 0.0633, loss_dir: 0.5046, loss_attr: 0.4680, loss: 4.7228, grad_norm: 8.0002
2021-08-17 18:51:13,154 - mmdet - INFO - Epoch [3][500/2217]	lr: 8.000e-03, eta: 12:29:25, time: 2.064, data_time: 0.055, memory: 20195, loss_cls: 0.2893, loss_offset: 0.6907, loss_depth: 0.8422, loss_size: 0.8322, loss_rotsin: 0.3043, loss_centerness: 0.5788, loss_velo: 0.0605, loss_dir: 0.5073, loss_attr: 0.4482, loss: 4.5534, grad_norm: 7.2217
2021-08-17 18:52:56,642 - mmdet - INFO - Epoch [3][550/2217]	lr: 8.000e-03, eta: 12:27:40, time: 2.070, data_time: 0.058, memory: 20195, loss_cls: 0.2897, loss_offset: 0.6880, loss_depth: 0.9060, loss_size: 0.8267, loss_rotsin: 0.3013, loss_centerness: 0.5785, loss_velo: 0.0613, loss_dir: 0.5054, loss_attr: 0.4502, loss: 4.6069, grad_norm: 7.8085
2021-08-17 18:54:40,044 - mmdet - INFO - Epoch [3][600/2217]	lr: 8.000e-03, eta: 12:25:55, time: 2.068, data_time: 0.058, memory: 20195, loss_cls: 0.2836, loss_offset: 0.6864, loss_depth: 0.8430, loss_size: 0.8262, loss_rotsin: 0.2909, loss_centerness: 0.5788, loss_velo: 0.0637, loss_dir: 0.4919, loss_attr: 0.4442, loss: 4.5088, grad_norm: 6.9781
2021-08-17 18:56:23,537 - mmdet - INFO - Epoch [3][650/2217]	lr: 8.000e-03, eta: 12:24:10, time: 2.070, data_time: 0.054, memory: 20195, loss_cls: 0.2856, loss_offset: 0.6961, loss_depth: 0.8854, loss_size: 0.8175, loss_rotsin: 0.3101, loss_centerness: 0.5791, loss_velo: 0.0589, loss_dir: 0.5151, loss_attr: 0.4546, loss: 4.6024, grad_norm: 7.7607
2021-08-17 18:58:06,860 - mmdet - INFO - Epoch [3][700/2217]	lr: 8.000e-03, eta: 12:22:24, time: 2.066, data_time: 0.055, memory: 20195, loss_cls: 0.2854, loss_offset: 0.6859, loss_depth: 0.9180, loss_size: 0.8257, loss_rotsin: 0.2919, loss_centerness: 0.5781, loss_velo: 0.0644, loss_dir: 0.4984, loss_attr: 0.4327, loss: 4.5804, grad_norm: 8.1483
2021-08-17 18:59:50,480 - mmdet - INFO - Epoch [3][750/2217]	lr: 8.000e-03, eta: 12:20:40, time: 2.072, data_time: 0.057, memory: 20195, loss_cls: 0.2858, loss_offset: 0.6762, loss_depth: 0.9245, loss_size: 0.8166, loss_rotsin: 0.2795, loss_centerness: 0.5780, loss_velo: 0.0618, loss_dir: 0.4858, loss_attr: 0.4537, loss: 4.5618, grad_norm: 8.2425
2021-08-17 19:01:34,020 - mmdet - INFO - Epoch [3][800/2217]	lr: 8.000e-03, eta: 12:18:56, time: 2.071, data_time: 0.060, memory: 20195, loss_cls: 0.2863, loss_offset: 0.6853, loss_depth: 0.8717, loss_size: 0.8389, loss_rotsin: 0.2899, loss_centerness: 0.5785, loss_velo: 0.0619, loss_dir: 0.4971, loss_attr: 0.4343, loss: 4.5440, grad_norm: 7.7922
2021-08-17 19:03:17,554 - mmdet - INFO - Epoch [3][850/2217]	lr: 8.000e-03, eta: 12:17:11, time: 2.071, data_time: 0.054, memory: 20195, loss_cls: 0.2871, loss_offset: 0.6861, loss_depth: 0.8547, loss_size: 0.8354, loss_rotsin: 0.2949, loss_centerness: 0.5784, loss_velo: 0.0621, loss_dir: 0.4999, loss_attr: 0.4357, loss: 4.5344, grad_norm: 7.3368
2021-08-17 19:05:00,765 - mmdet - INFO - Epoch [3][900/2217]	lr: 8.000e-03, eta: 12:15:25, time: 2.064, data_time: 0.054, memory: 20195, loss_cls: 0.2834, loss_offset: 0.6810, loss_depth: 0.7951, loss_size: 0.8230, loss_rotsin: 0.2917, loss_centerness: 0.5782, loss_velo: 0.0581, loss_dir: 0.4956, loss_attr: 0.4344, loss: 4.4406, grad_norm: 7.0878
2021-08-17 19:06:44,036 - mmdet - INFO - Epoch [3][950/2217]	lr: 8.000e-03, eta: 12:13:40, time: 2.065, data_time: 0.057, memory: 20195, loss_cls: 0.2858, loss_offset: 0.6734, loss_depth: 0.8548, loss_size: 0.8001, loss_rotsin: 0.2912, loss_centerness: 0.5780, loss_velo: 0.0606, loss_dir: 0.5061, loss_attr: 0.4234, loss: 4.4732, grad_norm: 7.8576
2021-08-17 19:08:27,296 - mmdet - INFO - Epoch [3][1000/2217]	lr: 8.000e-03, eta: 12:11:54, time: 2.065, data_time: 0.053, memory: 20195, loss_cls: 0.2847, loss_offset: 0.6785, loss_depth: 0.9289, loss_size: 0.8387, loss_rotsin: 0.2920, loss_centerness: 0.5782, loss_velo: 0.0623, loss_dir: 0.4950, loss_attr: 0.4310, loss: 4.5893, grad_norm: 8.3274
2021-08-17 19:10:10,772 - mmdet - INFO - Epoch [3][1050/2217]	lr: 8.000e-03, eta: 12:10:10, time: 2.070, data_time: 0.052, memory: 20195, loss_cls: 0.2808, loss_offset: 0.6756, loss_depth: 0.8077, loss_size: 0.7869, loss_rotsin: 0.2790, loss_centerness: 0.5780, loss_velo: 0.0621, loss_dir: 0.4829, loss_attr: 0.4218, loss: 4.3748, grad_norm: 6.6823
2021-08-17 19:11:54,293 - mmdet - INFO - Epoch [3][1100/2217]	lr: 8.000e-03, eta: 12:08:25, time: 2.070, data_time: 0.050, memory: 20195, loss_cls: 0.2821, loss_offset: 0.6737, loss_depth: 0.8928, loss_size: 0.7990, loss_rotsin: 0.2962, loss_centerness: 0.5781, loss_velo: 0.0607, loss_dir: 0.4910, loss_attr: 0.4207, loss: 4.4943, grad_norm: 7.8985
2021-08-17 19:13:37,836 - mmdet - INFO - Epoch [3][1150/2217]	lr: 8.000e-03, eta: 12:06:41, time: 2.071, data_time: 0.055, memory: 20195, loss_cls: 0.2875, loss_offset: 0.6804, loss_depth: 0.8449, loss_size: 0.8520, loss_rotsin: 0.2922, loss_centerness: 0.5781, loss_velo: 0.0595, loss_dir: 0.4975, loss_attr: 0.4450, loss: 4.5371, grad_norm: 7.3875
2021-08-17 19:15:21,417 - mmdet - INFO - Epoch [3][1200/2217]	lr: 8.000e-03, eta: 12:04:57, time: 2.072, data_time: 0.058, memory: 20195, loss_cls: 0.2837, loss_offset: 0.6760, loss_depth: 0.8318, loss_size: 0.8132, loss_rotsin: 0.2902, loss_centerness: 0.5784, loss_velo: 0.0607, loss_dir: 0.4913, loss_attr: 0.4209, loss: 4.4463, grad_norm: 6.8720
2021-08-17 19:17:05,640 - mmdet - INFO - Epoch [3][1250/2217]	lr: 8.000e-03, eta: 12:03:15, time: 2.084, data_time: 0.055, memory: 20195, loss_cls: 0.2825, loss_offset: 0.6819, loss_depth: 0.8462, loss_size: 0.8117, loss_rotsin: 0.2842, loss_centerness: 0.5785, loss_velo: 0.0632, loss_dir: 0.4896, loss_attr: 0.4309, loss: 4.4687, grad_norm: 7.4031
2021-08-17 19:18:49,585 - mmdet - INFO - Epoch [3][1300/2217]	lr: 8.000e-03, eta: 12:01:32, time: 2.079, data_time: 0.056, memory: 20195, loss_cls: 0.2827, loss_offset: 0.6728, loss_depth: 0.7764, loss_size: 0.8166, loss_rotsin: 0.2905, loss_centerness: 0.5780, loss_velo: 0.0571, loss_dir: 0.4862, loss_attr: 0.4351, loss: 4.3955, grad_norm: 6.5493
2021-08-17 19:20:33,655 - mmdet - INFO - Epoch [3][1350/2217]	lr: 8.000e-03, eta: 11:59:49, time: 2.081, data_time: 0.056, memory: 20195, loss_cls: 0.2834, loss_offset: 0.6731, loss_depth: 0.8242, loss_size: 0.8011, loss_rotsin: 0.2849, loss_centerness: 0.5787, loss_velo: 0.0608, loss_dir: 0.4920, loss_attr: 0.4242, loss: 4.4224, grad_norm: 6.8017
2021-08-17 19:22:17,289 - mmdet - INFO - Epoch [3][1400/2217]	lr: 8.000e-03, eta: 11:58:05, time: 2.073, data_time: 0.058, memory: 20195, loss_cls: 0.2806, loss_offset: 0.6738, loss_depth: 0.7912, loss_size: 0.8094, loss_rotsin: 0.2844, loss_centerness: 0.5776, loss_velo: 0.0589, loss_dir: 0.4898, loss_attr: 0.4260, loss: 4.3918, grad_norm: 6.5636
2021-08-17 19:24:01,086 - mmdet - INFO - Epoch [3][1450/2217]	lr: 8.000e-03, eta: 11:56:22, time: 2.076, data_time: 0.061, memory: 20195, loss_cls: 0.2824, loss_offset: 0.6681, loss_depth: 0.8478, loss_size: 0.7811, loss_rotsin: 0.2803, loss_centerness: 0.5776, loss_velo: 0.0616, loss_dir: 0.4810, loss_attr: 0.4098, loss: 4.3898, grad_norm: 7.6743
2021-08-17 19:25:45,077 - mmdet - INFO - Epoch [3][1500/2217]	lr: 8.000e-03, eta: 11:54:39, time: 2.080, data_time: 0.058, memory: 20195, loss_cls: 0.2802, loss_offset: 0.6666, loss_depth: 0.8630, loss_size: 0.7967, loss_rotsin: 0.2767, loss_centerness: 0.5774, loss_velo: 0.0604, loss_dir: 0.4776, loss_attr: 0.4249, loss: 4.4236, grad_norm: 7.8204
2021-08-17 19:27:29,154 - mmdet - INFO - Epoch [3][1550/2217]	lr: 8.000e-03, eta: 11:52:57, time: 2.082, data_time: 0.063, memory: 20195, loss_cls: 0.2826, loss_offset: 0.6768, loss_depth: 0.9179, loss_size: 0.8059, loss_rotsin: 0.2855, loss_centerness: 0.5780, loss_velo: 0.0618, loss_dir: 0.4891, loss_attr: 0.4261, loss: 4.5239, grad_norm: 8.1137
2021-08-17 19:29:13,076 - mmdet - INFO - Epoch [3][1600/2217]	lr: 8.000e-03, eta: 11:51:14, time: 2.078, data_time: 0.054, memory: 20195, loss_cls: 0.2818, loss_offset: 0.6807, loss_depth: 0.9702, loss_size: 0.8054, loss_rotsin: 0.2839, loss_centerness: 0.5785, loss_velo: 0.0585, loss_dir: 0.4861, loss_attr: 0.4120, loss: 4.5571, grad_norm: 9.1391
2021-08-17 19:30:57,161 - mmdet - INFO - Epoch [3][1650/2217]	lr: 8.000e-03, eta: 11:49:31, time: 2.082, data_time: 0.052, memory: 20195, loss_cls: 0.2864, loss_offset: 0.6713, loss_depth: 0.8453, loss_size: 0.8372, loss_rotsin: 0.2862, loss_centerness: 0.5783, loss_velo: 0.0632, loss_dir: 0.4833, loss_attr: 0.4194, loss: 4.4706, grad_norm: 7.7240
2021-08-17 19:32:41,216 - mmdet - INFO - Epoch [3][1700/2217]	lr: 8.000e-03, eta: 11:47:48, time: 2.081, data_time: 0.050, memory: 20195, loss_cls: 0.2826, loss_offset: 0.6691, loss_depth: 0.9196, loss_size: 0.8105, loss_rotsin: 0.2837, loss_centerness: 0.5776, loss_velo: 0.0641, loss_dir: 0.4808, loss_attr: 0.4250, loss: 4.5131, grad_norm: 8.4013
2021-08-17 19:34:24,837 - mmdet - INFO - Epoch [3][1750/2217]	lr: 8.000e-03, eta: 11:46:04, time: 2.072, data_time: 0.053, memory: 20195, loss_cls: 0.2809, loss_offset: 0.6727, loss_depth: 0.8643, loss_size: 0.8363, loss_rotsin: 0.2840, loss_centerness: 0.5779, loss_velo: 0.0594, loss_dir: 0.4792, loss_attr: 0.4223, loss: 4.4771, grad_norm: 8.3630
2021-08-17 19:36:08,278 - mmdet - INFO - Epoch [3][1800/2217]	lr: 8.000e-03, eta: 11:44:20, time: 2.069, data_time: 0.049, memory: 20195, loss_cls: 0.2760, loss_offset: 0.6621, loss_depth: 0.7748, loss_size: 0.7655, loss_rotsin: 0.2724, loss_centerness: 0.5776, loss_velo: 0.0587, loss_dir: 0.4780, loss_attr: 0.4151, loss: 4.2802, grad_norm: 6.8272
2021-08-17 19:37:51,531 - mmdet - INFO - Epoch [3][1850/2217]	lr: 8.000e-03, eta: 11:42:34, time: 2.065, data_time: 0.051, memory: 20195, loss_cls: 0.2793, loss_offset: 0.6622, loss_depth: 0.8669, loss_size: 0.8048, loss_rotsin: 0.2786, loss_centerness: 0.5774, loss_velo: 0.0617, loss_dir: 0.4722, loss_attr: 0.4039, loss: 4.4070, grad_norm: 7.7574
2021-08-17 19:39:35,166 - mmdet - INFO - Epoch [3][1900/2217]	lr: 8.000e-03, eta: 11:40:50, time: 2.073, data_time: 0.051, memory: 20195, loss_cls: 0.2784, loss_offset: 0.6714, loss_depth: 0.9125, loss_size: 0.7819, loss_rotsin: 0.2788, loss_centerness: 0.5777, loss_velo: 0.0668, loss_dir: 0.4780, loss_attr: 0.4268, loss: 4.4723, grad_norm: 8.4606
2021-08-17 19:41:18,651 - mmdet - INFO - Epoch [3][1950/2217]	lr: 8.000e-03, eta: 11:39:06, time: 2.070, data_time: 0.053, memory: 20195, loss_cls: 0.2798, loss_offset: 0.6664, loss_depth: 0.8005, loss_size: 0.7992, loss_rotsin: 0.2735, loss_centerness: 0.5779, loss_velo: 0.0620, loss_dir: 0.4752, loss_attr: 0.4031, loss: 4.3378, grad_norm: 7.1388
2021-08-17 19:43:01,995 - mmdet - INFO - Epoch [3][2000/2217]	lr: 8.000e-03, eta: 11:37:21, time: 2.067, data_time: 0.049, memory: 20195, loss_cls: 0.2813, loss_offset: 0.6664, loss_depth: 0.8082, loss_size: 0.8332, loss_rotsin: 0.2913, loss_centerness: 0.5778, loss_velo: 0.0616, loss_dir: 0.4842, loss_attr: 0.4172, loss: 4.4211, grad_norm: 7.2150
2021-08-17 19:44:45,244 - mmdet - INFO - Epoch [3][2050/2217]	lr: 8.000e-03, eta: 11:35:36, time: 2.065, data_time: 0.050, memory: 20195, loss_cls: 0.2767, loss_offset: 0.6642, loss_depth: 0.8262, loss_size: 0.7844, loss_rotsin: 0.2757, loss_centerness: 0.5779, loss_velo: 0.0612, loss_dir: 0.4785, loss_attr: 0.3968, loss: 4.3415, grad_norm: 7.5860
2021-08-17 19:46:28,110 - mmdet - INFO - Epoch [3][2100/2217]	lr: 8.000e-03, eta: 11:33:49, time: 2.057, data_time: 0.049, memory: 20195, loss_cls: 0.2801, loss_offset: 0.6678, loss_depth: 0.8621, loss_size: 0.7941, loss_rotsin: 0.2847, loss_centerness: 0.5774, loss_velo: 0.0613, loss_dir: 0.4794, loss_attr: 0.4016, loss: 4.4086, grad_norm: 7.8255
2021-08-17 19:48:11,096 - mmdet - INFO - Epoch [3][2150/2217]	lr: 8.000e-03, eta: 11:32:03, time: 2.060, data_time: 0.050, memory: 20195, loss_cls: 0.2775, loss_offset: 0.6691, loss_depth: 0.8177, loss_size: 0.8016, loss_rotsin: 0.2771, loss_centerness: 0.5783, loss_velo: 0.0602, loss_dir: 0.4802, loss_attr: 0.4148, loss: 4.3765, grad_norm: 7.1729
2021-08-17 19:49:54,391 - mmdet - INFO - Epoch [3][2200/2217]	lr: 8.000e-03, eta: 11:30:18, time: 2.066, data_time: 0.050, memory: 20195, loss_cls: 0.2773, loss_offset: 0.6602, loss_depth: 0.7820, loss_size: 0.7921, loss_rotsin: 0.2778, loss_centerness: 0.5772, loss_velo: 0.0636, loss_dir: 0.4637, loss_attr: 0.4110, loss: 4.3049, grad_norm: 6.5408
2021-08-17 19:50:29,794 - mmdet - INFO - Saving checkpoint at 3 epochs
2021-08-17 19:52:22,206 - mmdet - INFO - Epoch [4][50/2217]	lr: 8.000e-03, eta: 11:26:37, time: 2.225, data_time: 0.215, memory: 20195, loss_cls: 0.2742, loss_offset: 0.6559, loss_depth: 0.7900, loss_size: 0.7802, loss_rotsin: 0.2821, loss_centerness: 0.5774, loss_velo: 0.0634, loss_dir: 0.4780, loss_attr: 0.3731, loss: 4.2743, grad_norm: 7.6433
2021-08-17 19:54:05,933 - mmdet - INFO - Epoch [4][100/2217]	lr: 8.000e-03, eta: 11:24:54, time: 2.075, data_time: 0.058, memory: 20195, loss_cls: 0.2721, loss_offset: 0.6545, loss_depth: 0.7843, loss_size: 0.7381, loss_rotsin: 0.2729, loss_centerness: 0.5768, loss_velo: 0.0589, loss_dir: 0.4674, loss_attr: 0.3838, loss: 4.2087, grad_norm: 7.3986
2021-08-17 19:55:49,253 - mmdet - INFO - Epoch [4][150/2217]	lr: 8.000e-03, eta: 11:23:10, time: 2.066, data_time: 0.061, memory: 20195, loss_cls: 0.2715, loss_offset: 0.6463, loss_depth: 0.8445, loss_size: 0.7533, loss_rotsin: 0.2666, loss_centerness: 0.5766, loss_velo: 0.0616, loss_dir: 0.4591, loss_attr: 0.3860, loss: 4.2655, grad_norm: 8.2192
2021-08-17 19:57:32,663 - mmdet - INFO - Epoch [4][200/2217]	lr: 8.000e-03, eta: 11:21:27, time: 2.068, data_time: 0.054, memory: 20195, loss_cls: 0.2733, loss_offset: 0.6537, loss_depth: 0.8453, loss_size: 0.7487, loss_rotsin: 0.2696, loss_centerness: 0.5768, loss_velo: 0.0627, loss_dir: 0.4717, loss_attr: 0.3798, loss: 4.2817, grad_norm: 8.0599
2021-08-17 19:59:16,448 - mmdet - INFO - Epoch [4][250/2217]	lr: 8.000e-03, eta: 11:19:44, time: 2.076, data_time: 0.063, memory: 20195, loss_cls: 0.2699, loss_offset: 0.6523, loss_depth: 0.8091, loss_size: 0.7590, loss_rotsin: 0.2651, loss_centerness: 0.5773, loss_velo: 0.0587, loss_dir: 0.4648, loss_attr: 0.3618, loss: 4.2180, grad_norm: 7.5018
2021-08-17 20:01:00,404 - mmdet - INFO - Epoch [4][300/2217]	lr: 8.000e-03, eta: 11:18:02, time: 2.079, data_time: 0.058, memory: 20195, loss_cls: 0.2716, loss_offset: 0.6462, loss_depth: 0.7710, loss_size: 0.7413, loss_rotsin: 0.2713, loss_centerness: 0.5766, loss_velo: 0.0580, loss_dir: 0.4622, loss_attr: 0.3647, loss: 4.1629, grad_norm: 7.1193
2021-08-17 20:02:44,113 - mmdet - INFO - Epoch [4][350/2217]	lr: 8.000e-03, eta: 11:16:19, time: 2.074, data_time: 0.057, memory: 20195, loss_cls: 0.2780, loss_offset: 0.6592, loss_depth: 0.7851, loss_size: 0.7606, loss_rotsin: 0.2743, loss_centerness: 0.5770, loss_velo: 0.0610, loss_dir: 0.4697, loss_attr: 0.3929, loss: 4.2577, grad_norm: 7.4313
2021-08-17 20:04:27,622 - mmdet - INFO - Epoch [4][400/2217]	lr: 8.000e-03, eta: 11:14:35, time: 2.070, data_time: 0.055, memory: 20195, loss_cls: 0.2701, loss_offset: 0.6510, loss_depth: 0.8533, loss_size: 0.7641, loss_rotsin: 0.2656, loss_centerness: 0.5776, loss_velo: 0.0612, loss_dir: 0.4635, loss_attr: 0.3735, loss: 4.2798, grad_norm: 8.0951
2021-08-17 20:06:10,641 - mmdet - INFO - Epoch [4][450/2217]	lr: 8.000e-03, eta: 11:12:51, time: 2.060, data_time: 0.058, memory: 20207, loss_cls: 0.2707, loss_offset: 0.6503, loss_depth: 0.8561, loss_size: 0.7480, loss_rotsin: 0.2690, loss_centerness: 0.5769, loss_velo: 0.0631, loss_dir: 0.4708, loss_attr: 0.3830, loss: 4.2878, grad_norm: 8.2676
2021-08-17 20:07:53,565 - mmdet - INFO - Epoch [4][500/2217]	lr: 8.000e-03, eta: 11:11:05, time: 2.058, data_time: 0.061, memory: 20207, loss_cls: 0.2682, loss_offset: 0.6431, loss_depth: 0.8198, loss_size: 0.7379, loss_rotsin: 0.2647, loss_centerness: 0.5762, loss_velo: 0.0590, loss_dir: 0.4533, loss_attr: 0.3613, loss: 4.1835, grad_norm: 8.0668
2021-08-17 20:09:36,391 - mmdet - INFO - Epoch [4][550/2217]	lr: 8.000e-03, eta: 11:09:20, time: 2.057, data_time: 0.058, memory: 20207, loss_cls: 0.2710, loss_offset: 0.6442, loss_depth: 0.9359, loss_size: 0.7353, loss_rotsin: 0.2646, loss_centerness: 0.5768, loss_velo: 0.0647, loss_dir: 0.4638, loss_attr: 0.3928, loss: 4.3491, grad_norm: 9.2217
2021-08-17 20:11:19,814 - mmdet - INFO - Epoch [4][600/2217]	lr: 8.000e-03, eta: 11:07:37, time: 2.068, data_time: 0.057, memory: 20207, loss_cls: 0.2729, loss_offset: 0.6490, loss_depth: 0.9903, loss_size: 0.7804, loss_rotsin: 0.2644, loss_centerness: 0.5767, loss_velo: 0.0652, loss_dir: 0.4582, loss_attr: 0.3696, loss: 4.4267, grad_norm: 9.3677
2021-08-17 20:13:03,848 - mmdet - INFO - Epoch [4][650/2217]	lr: 8.000e-03, eta: 11:05:54, time: 2.081, data_time: 0.055, memory: 20207, loss_cls: 0.2705, loss_offset: 0.6507, loss_depth: 0.7452, loss_size: 0.7248, loss_rotsin: 0.2692, loss_centerness: 0.5767, loss_velo: 0.0610, loss_dir: 0.4659, loss_attr: 0.3579, loss: 4.1219, grad_norm: 6.7115
2021-08-17 20:14:47,308 - mmdet - INFO - Epoch [4][700/2217]	lr: 8.000e-03, eta: 11:04:11, time: 2.069, data_time: 0.059, memory: 20207, loss_cls: 0.2723, loss_offset: 0.6531, loss_depth: 0.7712, loss_size: 0.7454, loss_rotsin: 0.2698, loss_centerness: 0.5764, loss_velo: 0.0603, loss_dir: 0.4722, loss_attr: 0.3776, loss: 4.1984, grad_norm: 7.1166
2021-08-17 20:16:30,452 - mmdet - INFO - Epoch [4][750/2217]	lr: 8.000e-03, eta: 11:02:26, time: 2.063, data_time: 0.057, memory: 20207, loss_cls: 0.2688, loss_offset: 0.6550, loss_depth: 0.8291, loss_size: 0.7500, loss_rotsin: 0.2650, loss_centerness: 0.5771, loss_velo: 0.0589, loss_dir: 0.4649, loss_attr: 0.3788, loss: 4.2475, grad_norm: 8.0460
2021-08-17 20:18:14,331 - mmdet - INFO - Epoch [4][800/2217]	lr: 8.000e-03, eta: 11:00:44, time: 2.078, data_time: 0.059, memory: 20207, loss_cls: 0.2732, loss_offset: 0.6467, loss_depth: 0.7809, loss_size: 0.7590, loss_rotsin: 0.2685, loss_centerness: 0.5769, loss_velo: 0.0639, loss_dir: 0.4550, loss_attr: 0.3822, loss: 4.2063, grad_norm: 7.4797
2021-08-17 20:19:58,120 - mmdet - INFO - Epoch [4][850/2217]	lr: 8.000e-03, eta: 10:59:01, time: 2.076, data_time: 0.058, memory: 20207, loss_cls: 0.2672, loss_offset: 0.6417, loss_depth: 0.7593, loss_size: 0.7320, loss_rotsin: 0.2663, loss_centerness: 0.5768, loss_velo: 0.0621, loss_dir: 0.4583, loss_attr: 0.3727, loss: 4.1364, grad_norm: 7.2181
2021-08-17 20:21:41,979 - mmdet - INFO - Epoch [4][900/2217]	lr: 8.000e-03, eta: 10:57:19, time: 2.077, data_time: 0.061, memory: 20207, loss_cls: 0.2699, loss_offset: 0.6455, loss_depth: 0.7622, loss_size: 0.7431, loss_rotsin: 0.2679, loss_centerness: 0.5765, loss_velo: 0.0639, loss_dir: 0.4667, loss_attr: 0.3750, loss: 4.1706, grad_norm: 7.3150
2021-08-17 20:23:25,207 - mmdet - INFO - Epoch [4][950/2217]	lr: 8.000e-03, eta: 10:55:34, time: 2.065, data_time: 0.058, memory: 20207, loss_cls: 0.2730, loss_offset: 0.6446, loss_depth: 0.8196, loss_size: 0.7593, loss_rotsin: 0.2701, loss_centerness: 0.5767, loss_velo: 0.0629, loss_dir: 0.4636, loss_attr: 0.3912, loss: 4.2610, grad_norm: 7.7099
2021-08-17 20:25:08,527 - mmdet - INFO - Epoch [4][1000/2217]	lr: 8.000e-03, eta: 10:53:51, time: 2.066, data_time: 0.058, memory: 20207, loss_cls: 0.2662, loss_offset: 0.6385, loss_depth: 0.8227, loss_size: 0.7336, loss_rotsin: 0.2667, loss_centerness: 0.5769, loss_velo: 0.0643, loss_dir: 0.4617, loss_attr: 0.3712, loss: 4.2016, grad_norm: 8.1637
2021-08-17 20:26:51,950 - mmdet - INFO - Epoch [4][1050/2217]	lr: 8.000e-03, eta: 10:52:07, time: 2.069, data_time: 0.059, memory: 20207, loss_cls: 0.2673, loss_offset: 0.6469, loss_depth: 0.9017, loss_size: 0.7484, loss_rotsin: 0.2628, loss_centerness: 0.5769, loss_velo: 0.0578, loss_dir: 0.4578, loss_attr: 0.3558, loss: 4.2756, grad_norm: 8.5107
2021-08-17 20:28:35,895 - mmdet - INFO - Epoch [4][1100/2217]	lr: 8.000e-03, eta: 10:50:24, time: 2.079, data_time: 0.060, memory: 20207, loss_cls: 0.2702, loss_offset: 0.6476, loss_depth: 0.7761, loss_size: 0.7451, loss_rotsin: 0.2649, loss_centerness: 0.5771, loss_velo: 0.0573, loss_dir: 0.4650, loss_attr: 0.3765, loss: 4.1797, grad_norm: 7.0279
2021-08-17 20:30:20,030 - mmdet - INFO - Epoch [4][1150/2217]	lr: 8.000e-03, eta: 10:48:42, time: 2.083, data_time: 0.059, memory: 20207, loss_cls: 0.2680, loss_offset: 0.6421, loss_depth: 0.7699, loss_size: 0.7279, loss_rotsin: 0.2648, loss_centerness: 0.5764, loss_velo: 0.0623, loss_dir: 0.4613, loss_attr: 0.3680, loss: 4.1407, grad_norm: 7.1376
2021-08-17 20:32:04,041 - mmdet - INFO - Epoch [4][1200/2217]	lr: 8.000e-03, eta: 10:47:00, time: 2.080, data_time: 0.057, memory: 20207, loss_cls: 0.2660, loss_offset: 0.6404, loss_depth: 0.9143, loss_size: 0.7357, loss_rotsin: 0.2657, loss_centerness: 0.5769, loss_velo: 0.0619, loss_dir: 0.4473, loss_attr: 0.3535, loss: 4.2618, grad_norm: 8.9999
2021-08-17 20:33:47,969 - mmdet - INFO - Epoch [4][1250/2217]	lr: 8.000e-03, eta: 10:45:18, time: 2.079, data_time: 0.058, memory: 20207, loss_cls: 0.2651, loss_offset: 0.6422, loss_depth: 0.8062, loss_size: 0.7459, loss_rotsin: 0.2576, loss_centerness: 0.5765, loss_velo: 0.0630, loss_dir: 0.4562, loss_attr: 0.3628, loss: 4.1756, grad_norm: 7.6964
2021-08-17 20:35:31,685 - mmdet - INFO - Epoch [4][1300/2217]	lr: 8.000e-03, eta: 10:43:35, time: 2.074, data_time: 0.057, memory: 20207, loss_cls: 0.2665, loss_offset: 0.6404, loss_depth: 0.7270, loss_size: 0.7164, loss_rotsin: 0.2641, loss_centerness: 0.5765, loss_velo: 0.0628, loss_dir: 0.4538, loss_attr: 0.3530, loss: 4.0604, grad_norm: 6.6481
2021-08-17 20:37:14,992 - mmdet - INFO - Epoch [4][1350/2217]	lr: 8.000e-03, eta: 10:41:51, time: 2.066, data_time: 0.058, memory: 20207, loss_cls: 0.2713, loss_offset: 0.6501, loss_depth: 0.8776, loss_size: 0.7305, loss_rotsin: 0.2614, loss_centerness: 0.5764, loss_velo: 0.0607, loss_dir: 0.4625, loss_attr: 0.3697, loss: 4.2602, grad_norm: 8.4465
2021-08-17 20:38:58,419 - mmdet - INFO - Epoch [4][1400/2217]	lr: 8.000e-03, eta: 10:40:07, time: 2.069, data_time: 0.055, memory: 20207, loss_cls: 0.2647, loss_offset: 0.6353, loss_depth: 0.7909, loss_size: 0.7389, loss_rotsin: 0.2558, loss_centerness: 0.5762, loss_velo: 0.0615, loss_dir: 0.4443, loss_attr: 0.3599, loss: 4.1276, grad_norm: 7.4005
2021-08-17 20:40:41,762 - mmdet - INFO - Epoch [4][1450/2217]	lr: 8.000e-03, eta: 10:38:23, time: 2.067, data_time: 0.059, memory: 20207, loss_cls: 0.2695, loss_offset: 0.6488, loss_depth: 0.9530, loss_size: 0.7553, loss_rotsin: 0.2606, loss_centerness: 0.5767, loss_velo: 0.0622, loss_dir: 0.4522, loss_attr: 0.3662, loss: 4.3444, grad_norm: 9.2421
2021-08-17 20:42:25,109 - mmdet - INFO - Epoch [4][1500/2217]	lr: 8.000e-03, eta: 10:36:39, time: 2.067, data_time: 0.055, memory: 20207, loss_cls: 0.2692, loss_offset: 0.6345, loss_depth: 0.8042, loss_size: 0.7603, loss_rotsin: 0.2589, loss_centerness: 0.5761, loss_velo: 0.0617, loss_dir: 0.4433, loss_attr: 0.3667, loss: 4.1749, grad_norm: 7.3075
2021-08-17 20:44:08,205 - mmdet - INFO - Epoch [4][1550/2217]	lr: 8.000e-03, eta: 10:34:55, time: 2.062, data_time: 0.055, memory: 20207, loss_cls: 0.2668, loss_offset: 0.6375, loss_depth: 0.7856, loss_size: 0.7381, loss_rotsin: 0.2562, loss_centerness: 0.5763, loss_velo: 0.0634, loss_dir: 0.4496, loss_attr: 0.3734, loss: 4.1469, grad_norm: 7.7639
2021-08-17 20:45:51,437 - mmdet - INFO - Epoch [4][1600/2217]	lr: 8.000e-03, eta: 10:33:11, time: 2.065, data_time: 0.056, memory: 20207, loss_cls: 0.2707, loss_offset: 0.6431, loss_depth: 0.8747, loss_size: 0.7473, loss_rotsin: 0.2639, loss_centerness: 0.5771, loss_velo: 0.0628, loss_dir: 0.4516, loss_attr: 0.3854, loss: 4.2764, grad_norm: 8.6972
2021-08-17 20:47:35,011 - mmdet - INFO - Epoch [4][1650/2217]	lr: 8.000e-03, eta: 10:31:27, time: 2.071, data_time: 0.057, memory: 20207, loss_cls: 0.2658, loss_offset: 0.6463, loss_depth: 0.7376, loss_size: 0.7349, loss_rotsin: 0.2609, loss_centerness: 0.5766, loss_velo: 0.0597, loss_dir: 0.4632, loss_attr: 0.3604, loss: 4.1052, grad_norm: 7.0037
2021-08-17 20:49:18,616 - mmdet - INFO - Epoch [4][1700/2217]	lr: 8.000e-03, eta: 10:29:44, time: 2.072, data_time: 0.055, memory: 20207, loss_cls: 0.2647, loss_offset: 0.6404, loss_depth: 0.7803, loss_size: 0.7144, loss_rotsin: 0.2627, loss_centerness: 0.5764, loss_velo: 0.0611, loss_dir: 0.4538, loss_attr: 0.3566, loss: 4.1103, grad_norm: 7.5855
2021-08-17 20:51:02,006 - mmdet - INFO - Epoch [4][1750/2217]	lr: 8.000e-03, eta: 10:28:00, time: 2.068, data_time: 0.055, memory: 20207, loss_cls: 0.2681, loss_offset: 0.6452, loss_depth: 0.8610, loss_size: 0.7417, loss_rotsin: 0.2676, loss_centerness: 0.5765, loss_velo: 0.0614, loss_dir: 0.4547, loss_attr: 0.3603, loss: 4.2364, grad_norm: 8.3062
2021-08-17 20:52:45,530 - mmdet - INFO - Epoch [4][1800/2217]	lr: 8.000e-03, eta: 10:26:17, time: 2.070, data_time: 0.056, memory: 20207, loss_cls: 0.2670, loss_offset: 0.6406, loss_depth: 0.7854, loss_size: 0.7437, loss_rotsin: 0.2562, loss_centerness: 0.5767, loss_velo: 0.0609, loss_dir: 0.4462, loss_attr: 0.3649, loss: 4.1416, grad_norm: 7.4874
2021-08-17 20:54:28,942 - mmdet - INFO - Epoch [4][1850/2217]	lr: 8.000e-03, eta: 10:24:33, time: 2.068, data_time: 0.056, memory: 20207, loss_cls: 0.2615, loss_offset: 0.6360, loss_depth: 0.7552, loss_size: 0.7192, loss_rotsin: 0.2634, loss_centerness: 0.5762, loss_velo: 0.0595, loss_dir: 0.4555, loss_attr: 0.3489, loss: 4.0755, grad_norm: 6.9486
2021-08-17 20:56:12,283 - mmdet - INFO - Epoch [4][1900/2217]	lr: 8.000e-03, eta: 10:22:49, time: 2.067, data_time: 0.055, memory: 20207, loss_cls: 0.2633, loss_offset: 0.6347, loss_depth: 0.7559, loss_size: 0.7233, loss_rotsin: 0.2553, loss_centerness: 0.5759, loss_velo: 0.0596, loss_dir: 0.4463, loss_attr: 0.3430, loss: 4.0574, grad_norm: 7.3567
2021-08-17 20:57:55,697 - mmdet - INFO - Epoch [4][1950/2217]	lr: 8.000e-03, eta: 10:21:06, time: 2.068, data_time: 0.056, memory: 20207, loss_cls: 0.2628, loss_offset: 0.6368, loss_depth: 0.8389, loss_size: 0.7272, loss_rotsin: 0.2574, loss_centerness: 0.5763, loss_velo: 0.0602, loss_dir: 0.4523, loss_attr: 0.3412, loss: 4.1530, grad_norm: 8.6186
2021-08-17 20:59:39,192 - mmdet - INFO - Epoch [4][2000/2217]	lr: 8.000e-03, eta: 10:19:22, time: 2.070, data_time: 0.055, memory: 20207, loss_cls: 0.2621, loss_offset: 0.6358, loss_depth: 0.9443, loss_size: 0.7130, loss_rotsin: 0.2596, loss_centerness: 0.5765, loss_velo: 0.0596, loss_dir: 0.4499, loss_attr: 0.3458, loss: 4.2465, grad_norm: 9.1642
2021-08-17 21:01:22,527 - mmdet - INFO - Epoch [4][2050/2217]	lr: 8.000e-03, eta: 10:17:38, time: 2.067, data_time: 0.060, memory: 20207, loss_cls: 0.2687, loss_offset: 0.6378, loss_depth: 0.7189, loss_size: 0.7333, loss_rotsin: 0.2552, loss_centerness: 0.5765, loss_velo: 0.0595, loss_dir: 0.4450, loss_attr: 0.3562, loss: 4.0511, grad_norm: 6.8887
2021-08-17 21:03:05,887 - mmdet - INFO - Epoch [4][2100/2217]	lr: 8.000e-03, eta: 10:15:55, time: 2.067, data_time: 0.057, memory: 20207, loss_cls: 0.2619, loss_offset: 0.6358, loss_depth: 0.9136, loss_size: 0.7320, loss_rotsin: 0.2555, loss_centerness: 0.5764, loss_velo: 0.0594, loss_dir: 0.4503, loss_attr: 0.3569, loss: 4.2417, grad_norm: 8.9889
2021-08-17 21:04:49,468 - mmdet - INFO - Epoch [4][2150/2217]	lr: 8.000e-03, eta: 10:14:11, time: 2.072, data_time: 0.060, memory: 20207, loss_cls: 0.2646, loss_offset: 0.6352, loss_depth: 0.8343, loss_size: 0.7471, loss_rotsin: 0.2596, loss_centerness: 0.5762, loss_velo: 0.0637, loss_dir: 0.4490, loss_attr: 0.3668, loss: 4.1963, grad_norm: 8.2010
2021-08-17 21:06:33,179 - mmdet - INFO - Epoch [4][2200/2217]	lr: 8.000e-03, eta: 10:12:28, time: 2.074, data_time: 0.059, memory: 20207, loss_cls: 0.2618, loss_offset: 0.6297, loss_depth: 0.7211, loss_size: 0.7123, loss_rotsin: 0.2567, loss_centerness: 0.5757, loss_velo: 0.0631, loss_dir: 0.4473, loss_attr: 0.3505, loss: 4.0182, grad_norm: 6.6114
2021-08-17 21:07:08,887 - mmdet - INFO - Saving checkpoint at 4 epochs
2021-08-17 21:09:01,016 - mmdet - INFO - Epoch [5][50/2217]	lr: 8.000e-03, eta: 10:09:15, time: 2.221, data_time: 0.208, memory: 20207, loss_cls: 0.2614, loss_offset: 0.6316, loss_depth: 0.7513, loss_size: 0.6905, loss_rotsin: 0.2567, loss_centerness: 0.5764, loss_velo: 0.0593, loss_dir: 0.4340, loss_attr: 0.3187, loss: 3.9799, grad_norm: 7.5919
2021-08-17 21:10:44,823 - mmdet - INFO - Epoch [5][100/2217]	lr: 8.000e-03, eta: 10:07:32, time: 2.076, data_time: 0.060, memory: 20207, loss_cls: 0.2583, loss_offset: 0.6241, loss_depth: 0.7631, loss_size: 0.6857, loss_rotsin: 0.2523, loss_centerness: 0.5755, loss_velo: 0.0621, loss_dir: 0.4436, loss_attr: 0.3313, loss: 3.9962, grad_norm: 7.7925
2021-08-17 21:12:28,404 - mmdet - INFO - Epoch [5][150/2217]	lr: 8.000e-03, eta: 10:05:49, time: 2.072, data_time: 0.055, memory: 20207, loss_cls: 0.2553, loss_offset: 0.6218, loss_depth: 0.7203, loss_size: 0.6806, loss_rotsin: 0.2471, loss_centerness: 0.5755, loss_velo: 0.0615, loss_dir: 0.4269, loss_attr: 0.3183, loss: 3.9074, grad_norm: 7.2159
2021-08-17 21:14:12,187 - mmdet - INFO - Epoch [5][200/2217]	lr: 8.000e-03, eta: 10:04:07, time: 2.076, data_time: 0.055, memory: 20207, loss_cls: 0.2572, loss_offset: 0.6216, loss_depth: 0.7042, loss_size: 0.6731, loss_rotsin: 0.2526, loss_centerness: 0.5762, loss_velo: 0.0602, loss_dir: 0.4359, loss_attr: 0.3221, loss: 3.9033, grad_norm: 6.8727
2021-08-17 21:15:56,330 - mmdet - INFO - Epoch [5][250/2217]	lr: 8.000e-03, eta: 10:02:25, time: 2.083, data_time: 0.058, memory: 20207, loss_cls: 0.2555, loss_offset: 0.6230, loss_depth: 0.7958, loss_size: 0.6726, loss_rotsin: 0.2470, loss_centerness: 0.5759, loss_velo: 0.0603, loss_dir: 0.4300, loss_attr: 0.3246, loss: 3.9845, grad_norm: 8.2331
2021-08-17 21:17:40,015 - mmdet - INFO - Epoch [5][300/2217]	lr: 8.000e-03, eta: 10:00:42, time: 2.074, data_time: 0.056, memory: 20207, loss_cls: 0.2584, loss_offset: 0.6208, loss_depth: 0.7390, loss_size: 0.6857, loss_rotsin: 0.2477, loss_centerness: 0.5753, loss_velo: 0.0619, loss_dir: 0.4373, loss_attr: 0.3219, loss: 3.9480, grad_norm: 7.3325
2021-08-17 21:19:23,217 - mmdet - INFO - Epoch [5][350/2217]	lr: 8.000e-03, eta: 9:58:59, time: 2.064, data_time: 0.054, memory: 20207, loss_cls: 0.2559, loss_offset: 0.6184, loss_depth: 0.6933, loss_size: 0.6907, loss_rotsin: 0.2494, loss_centerness: 0.5755, loss_velo: 0.0617, loss_dir: 0.4367, loss_attr: 0.3160, loss: 3.8976, grad_norm: 6.9338
2021-08-17 21:21:06,495 - mmdet - INFO - Epoch [5][400/2217]	lr: 8.000e-03, eta: 9:57:15, time: 2.066, data_time: 0.053, memory: 20207, loss_cls: 0.2602, loss_offset: 0.6303, loss_depth: 0.7016, loss_size: 0.7095, loss_rotsin: 0.2485, loss_centerness: 0.5759, loss_velo: 0.0616, loss_dir: 0.4406, loss_attr: 0.3332, loss: 3.9614, grad_norm: 6.7018
2021-08-17 21:22:50,532 - mmdet - INFO - Epoch [5][450/2217]	lr: 8.000e-03, eta: 9:55:33, time: 2.081, data_time: 0.053, memory: 20207, loss_cls: 0.2571, loss_offset: 0.6218, loss_depth: 0.7245, loss_size: 0.6950, loss_rotsin: 0.2500, loss_centerness: 0.5757, loss_velo: 0.0609, loss_dir: 0.4381, loss_attr: 0.3361, loss: 3.9592, grad_norm: 7.3200
2021-08-17 21:24:34,062 - mmdet - INFO - Epoch [5][500/2217]	lr: 8.000e-03, eta: 9:53:50, time: 2.071, data_time: 0.056, memory: 20207, loss_cls: 0.2600, loss_offset: 0.6236, loss_depth: 0.7631, loss_size: 0.6949, loss_rotsin: 0.2463, loss_centerness: 0.5757, loss_velo: 0.0598, loss_dir: 0.4360, loss_attr: 0.3272, loss: 3.9865, grad_norm: 7.7831
2021-08-17 21:26:17,290 - mmdet - INFO - Epoch [5][550/2217]	lr: 8.000e-03, eta: 9:52:06, time: 2.065, data_time: 0.053, memory: 20207, loss_cls: 0.2571, loss_offset: 0.6183, loss_depth: 0.9086, loss_size: 0.6889, loss_rotsin: 0.2485, loss_centerness: 0.5752, loss_velo: 0.0610, loss_dir: 0.4299, loss_attr: 0.3223, loss: 4.1098, grad_norm: 8.6072
2021-08-17 21:28:00,624 - mmdet - INFO - Epoch [5][600/2217]	lr: 8.000e-03, eta: 9:50:23, time: 2.067, data_time: 0.052, memory: 20207, loss_cls: 0.2557, loss_offset: 0.6212, loss_depth: 0.7012, loss_size: 0.6785, loss_rotsin: 0.2500, loss_centerness: 0.5756, loss_velo: 0.0598, loss_dir: 0.4396, loss_attr: 0.3224, loss: 3.9040, grad_norm: 6.9331
2021-08-17 21:29:44,025 - mmdet - INFO - Epoch [5][650/2217]	lr: 8.000e-03, eta: 9:48:40, time: 2.068, data_time: 0.050, memory: 20207, loss_cls: 0.2580, loss_offset: 0.6126, loss_depth: 0.7670, loss_size: 0.6825, loss_rotsin: 0.2437, loss_centerness: 0.5751, loss_velo: 0.0586, loss_dir: 0.4322, loss_attr: 0.3300, loss: 3.9597, grad_norm: 7.9231
2021-08-17 21:31:27,422 - mmdet - INFO - Epoch [5][700/2217]	lr: 8.000e-03, eta: 9:46:56, time: 2.068, data_time: 0.053, memory: 20207, loss_cls: 0.2568, loss_offset: 0.6147, loss_depth: 0.8276, loss_size: 0.7011, loss_rotsin: 0.2492, loss_centerness: 0.5752, loss_velo: 0.0626, loss_dir: 0.4290, loss_attr: 0.3214, loss: 4.0377, grad_norm: 8.4367
2021-08-17 21:33:10,999 - mmdet - INFO - Epoch [5][750/2217]	lr: 8.000e-03, eta: 9:45:13, time: 2.072, data_time: 0.055, memory: 20207, loss_cls: 0.2560, loss_offset: 0.6238, loss_depth: 0.8139, loss_size: 0.6891, loss_rotsin: 0.2476, loss_centerness: 0.5752, loss_velo: 0.0593, loss_dir: 0.4276, loss_attr: 0.3095, loss: 4.0022, grad_norm: 8.3117
2021-08-17 21:34:54,158 - mmdet - INFO - Epoch [5][800/2217]	lr: 8.000e-03, eta: 9:43:30, time: 2.063, data_time: 0.053, memory: 20207, loss_cls: 0.2567, loss_offset: 0.6208, loss_depth: 0.7671, loss_size: 0.6702, loss_rotsin: 0.2513, loss_centerness: 0.5756, loss_velo: 0.0582, loss_dir: 0.4334, loss_attr: 0.3079, loss: 3.9413, grad_norm: 7.8415
2021-08-17 21:36:37,647 - mmdet - INFO - Epoch [5][850/2217]	lr: 8.000e-03, eta: 9:41:46, time: 2.070, data_time: 0.052, memory: 20207, loss_cls: 0.2555, loss_offset: 0.6150, loss_depth: 0.7757, loss_size: 0.6934, loss_rotsin: 0.2451, loss_centerness: 0.5753, loss_velo: 0.0623, loss_dir: 0.4283, loss_attr: 0.3219, loss: 3.9723, grad_norm: 7.7927
2021-08-17 21:38:21,157 - mmdet - INFO - Epoch [5][900/2217]	lr: 8.000e-03, eta: 9:40:03, time: 2.070, data_time: 0.053, memory: 20207, loss_cls: 0.2573, loss_offset: 0.6152, loss_depth: 0.8116, loss_size: 0.6941, loss_rotsin: 0.2492, loss_centerness: 0.5753, loss_velo: 0.0597, loss_dir: 0.4335, loss_attr: 0.3230, loss: 4.0189, grad_norm: 8.4716
2021-08-17 21:40:04,617 - mmdet - INFO - Epoch [5][950/2217]	lr: 8.000e-03, eta: 9:38:20, time: 2.069, data_time: 0.054, memory: 20207, loss_cls: 0.2596, loss_offset: 0.6241, loss_depth: 0.7526, loss_size: 0.6927, loss_rotsin: 0.2527, loss_centerness: 0.5759, loss_velo: 0.0632, loss_dir: 0.4379, loss_attr: 0.3122, loss: 3.9710, grad_norm: 7.6224
2021-08-17 21:41:48,534 - mmdet - INFO - Epoch [5][1000/2217]	lr: 8.000e-03, eta: 9:36:38, time: 2.078, data_time: 0.050, memory: 20207, loss_cls: 0.2562, loss_offset: 0.6193, loss_depth: 0.7464, loss_size: 0.7159, loss_rotsin: 0.2385, loss_centerness: 0.5751, loss_velo: 0.0617, loss_dir: 0.4261, loss_attr: 0.3093, loss: 3.9484, grad_norm: 7.3031
2021-08-17 21:43:31,656 - mmdet - INFO - Epoch [5][1050/2217]	lr: 8.000e-03, eta: 9:34:54, time: 2.062, data_time: 0.053, memory: 20207, loss_cls: 0.2581, loss_offset: 0.6199, loss_depth: 0.8210, loss_size: 0.6949, loss_rotsin: 0.2490, loss_centerness: 0.5754, loss_velo: 0.0624, loss_dir: 0.4305, loss_attr: 0.3338, loss: 4.0449, grad_norm: 8.6767
2021-08-17 21:45:14,671 - mmdet - INFO - Epoch [5][1100/2217]	lr: 8.000e-03, eta: 9:33:10, time: 2.060, data_time: 0.058, memory: 20207, loss_cls: 0.2549, loss_offset: 0.6256, loss_depth: 0.7491, loss_size: 0.6763, loss_rotsin: 0.2447, loss_centerness: 0.5762, loss_velo: 0.0612, loss_dir: 0.4333, loss_attr: 0.3291, loss: 3.9504, grad_norm: 6.9370
2021-08-17 21:46:57,739 - mmdet - INFO - Epoch [5][1150/2217]	lr: 8.000e-03, eta: 9:31:26, time: 2.061, data_time: 0.053, memory: 20207, loss_cls: 0.2553, loss_offset: 0.6166, loss_depth: 0.7697, loss_size: 0.6740, loss_rotsin: 0.2443, loss_centerness: 0.5751, loss_velo: 0.0644, loss_dir: 0.4261, loss_attr: 0.3130, loss: 3.9386, grad_norm: 7.5960
2021-08-17 21:48:40,900 - mmdet - INFO - Epoch [5][1200/2217]	lr: 8.000e-03, eta: 9:29:43, time: 2.063, data_time: 0.055, memory: 20207, loss_cls: 0.2567, loss_offset: 0.6131, loss_depth: 0.7013, loss_size: 0.6745, loss_rotsin: 0.2467, loss_centerness: 0.5751, loss_velo: 0.0613, loss_dir: 0.4256, loss_attr: 0.3218, loss: 3.8759, grad_norm: 7.0381
2021-08-17 21:50:24,122 - mmdet - INFO - Epoch [5][1250/2217]	lr: 8.000e-03, eta: 9:27:59, time: 2.064, data_time: 0.054, memory: 20207, loss_cls: 0.2558, loss_offset: 0.6193, loss_depth: 0.7438, loss_size: 0.6825, loss_rotsin: 0.2452, loss_centerness: 0.5757, loss_velo: 0.0623, loss_dir: 0.4304, loss_attr: 0.3160, loss: 3.9309, grad_norm: 7.5107
2021-08-17 21:52:07,437 - mmdet - INFO - Epoch [5][1300/2217]	lr: 8.000e-03, eta: 9:26:15, time: 2.066, data_time: 0.060, memory: 20207, loss_cls: 0.2547, loss_offset: 0.6212, loss_depth: 0.7203, loss_size: 0.7128, loss_rotsin: 0.2471, loss_centerness: 0.5752, loss_velo: 0.0619, loss_dir: 0.4304, loss_attr: 0.3059, loss: 3.9295, grad_norm: 7.3240
2021-08-17 21:53:50,577 - mmdet - INFO - Epoch [5][1350/2217]	lr: 8.000e-03, eta: 9:24:32, time: 2.063, data_time: 0.053, memory: 20207, loss_cls: 0.2551, loss_offset: 0.6168, loss_depth: 0.7444, loss_size: 0.6765, loss_rotsin: 0.2381, loss_centerness: 0.5752, loss_velo: 0.0602, loss_dir: 0.4199, loss_attr: 0.3164, loss: 3.9028, grad_norm: 7.3446
2021-08-17 21:55:33,869 - mmdet - INFO - Epoch [5][1400/2217]	lr: 8.000e-03, eta: 9:22:48, time: 2.066, data_time: 0.055, memory: 20207, loss_cls: 0.2542, loss_offset: 0.6153, loss_depth: 0.7299, loss_size: 0.6759, loss_rotsin: 0.2441, loss_centerness: 0.5748, loss_velo: 0.0619, loss_dir: 0.4226, loss_attr: 0.3091, loss: 3.8876, grad_norm: 7.4339
2021-08-17 21:57:17,668 - mmdet - INFO - Epoch [5][1450/2217]	lr: 8.000e-03, eta: 9:21:06, time: 2.076, data_time: 0.051, memory: 20207, loss_cls: 0.2565, loss_offset: 0.6159, loss_depth: 0.6998, loss_size: 0.6779, loss_rotsin: 0.2430, loss_centerness: 0.5752, loss_velo: 0.0616, loss_dir: 0.4199, loss_attr: 0.3120, loss: 3.8617, grad_norm: 6.8513
2021-08-17 21:59:01,246 - mmdet - INFO - Epoch [5][1500/2217]	lr: 8.000e-03, eta: 9:19:23, time: 2.072, data_time: 0.060, memory: 20207, loss_cls: 0.2530, loss_offset: 0.6059, loss_depth: 0.7346, loss_size: 0.6640, loss_rotsin: 0.2410, loss_centerness: 0.5748, loss_velo: 0.0599, loss_dir: 0.4179, loss_attr: 0.3191, loss: 3.8700, grad_norm: 7.7572
2021-08-17 22:00:44,132 - mmdet - INFO - Epoch [5][1550/2217]	lr: 8.000e-03, eta: 9:17:39, time: 2.058, data_time: 0.052, memory: 20207, loss_cls: 0.2548, loss_offset: 0.6124, loss_depth: 0.7465, loss_size: 0.7001, loss_rotsin: 0.2420, loss_centerness: 0.5751, loss_velo: 0.0640, loss_dir: 0.4153, loss_attr: 0.3085, loss: 3.9187, grad_norm: 7.7791
2021-08-17 22:02:26,850 - mmdet - INFO - Epoch [5][1600/2217]	lr: 8.000e-03, eta: 9:15:54, time: 2.054, data_time: 0.057, memory: 20207, loss_cls: 0.2582, loss_offset: 0.6166, loss_depth: 0.8712, loss_size: 0.6928, loss_rotsin: 0.2465, loss_centerness: 0.5755, loss_velo: 0.0637, loss_dir: 0.4206, loss_attr: 0.3270, loss: 4.0723, grad_norm: 8.8157
2021-08-17 22:04:11,002 - mmdet - INFO - Epoch [5][1650/2217]	lr: 8.000e-03, eta: 9:14:12, time: 2.083, data_time: 0.059, memory: 20207, loss_cls: 0.2590, loss_offset: 0.6204, loss_depth: 0.7220, loss_size: 0.7107, loss_rotsin: 0.2493, loss_centerness: 0.5755, loss_velo: 0.0590, loss_dir: 0.4277, loss_attr: 0.3086, loss: 3.9321, grad_norm: 7.4236
2021-08-17 22:05:54,618 - mmdet - INFO - Epoch [5][1700/2217]	lr: 8.000e-03, eta: 9:12:29, time: 2.072, data_time: 0.057, memory: 20207, loss_cls: 0.2507, loss_offset: 0.6092, loss_depth: 0.8738, loss_size: 0.6730, loss_rotsin: 0.2368, loss_centerness: 0.5750, loss_velo: 0.0617, loss_dir: 0.4212, loss_attr: 0.3097, loss: 4.0111, grad_norm: 8.5401
2021-08-17 22:07:37,970 - mmdet - INFO - Epoch [5][1750/2217]	lr: 8.000e-03, eta: 9:10:46, time: 2.067, data_time: 0.059, memory: 20207, loss_cls: 0.2580, loss_offset: 0.6183, loss_depth: 0.7390, loss_size: 0.7049, loss_rotsin: 0.2434, loss_centerness: 0.5752, loss_velo: 0.0600, loss_dir: 0.4226, loss_attr: 0.3202, loss: 3.9418, grad_norm: 7.3749
2021-08-17 22:09:21,318 - mmdet - INFO - Epoch [5][1800/2217]	lr: 8.000e-03, eta: 9:09:02, time: 2.067, data_time: 0.062, memory: 20207, loss_cls: 0.2537, loss_offset: 0.6172, loss_depth: 0.7291, loss_size: 0.6650, loss_rotsin: 0.2401, loss_centerness: 0.5756, loss_velo: 0.0625, loss_dir: 0.4131, loss_attr: 0.3106, loss: 3.8668, grad_norm: 7.3811
2021-08-17 22:11:04,670 - mmdet - INFO - Epoch [5][1850/2217]	lr: 8.000e-03, eta: 9:07:19, time: 2.067, data_time: 0.060, memory: 20207, loss_cls: 0.2525, loss_offset: 0.6107, loss_depth: 0.7390, loss_size: 0.6807, loss_rotsin: 0.2404, loss_centerness: 0.5753, loss_velo: 0.0606, loss_dir: 0.4219, loss_attr: 0.3010, loss: 3.8821, grad_norm: 7.7842
2021-08-17 22:12:48,058 - mmdet - INFO - Epoch [5][1900/2217]	lr: 8.000e-03, eta: 9:05:36, time: 2.068, data_time: 0.060, memory: 20207, loss_cls: 0.2549, loss_offset: 0.6048, loss_depth: 0.7388, loss_size: 0.6770, loss_rotsin: 0.2394, loss_centerness: 0.5749, loss_velo: 0.0639, loss_dir: 0.4283, loss_attr: 0.3155, loss: 3.8973, grad_norm: 7.6340
2021-08-17 22:14:31,339 - mmdet - INFO - Epoch [5][1950/2217]	lr: 8.000e-03, eta: 9:03:52, time: 2.066, data_time: 0.061, memory: 20207, loss_cls: 0.2563, loss_offset: 0.6218, loss_depth: 0.8516, loss_size: 0.6761, loss_rotsin: 0.2429, loss_centerness: 0.5754, loss_velo: 0.0616, loss_dir: 0.4278, loss_attr: 0.3158, loss: 4.0293, grad_norm: 8.3685
2021-08-17 22:16:15,409 - mmdet - INFO - Epoch [5][2000/2217]	lr: 8.000e-03, eta: 9:02:10, time: 2.081, data_time: 0.063, memory: 20207, loss_cls: 0.2540, loss_offset: 0.6131, loss_depth: 0.7994, loss_size: 0.6691, loss_rotsin: 0.2460, loss_centerness: 0.5752, loss_velo: 0.0590, loss_dir: 0.4231, loss_attr: 0.3006, loss: 3.9395, grad_norm: 8.3004
2021-08-17 22:17:59,261 - mmdet - INFO - Epoch [5][2050/2217]	lr: 8.000e-03, eta: 9:00:27, time: 2.077, data_time: 0.063, memory: 20207, loss_cls: 0.2555, loss_offset: 0.6103, loss_depth: 0.7290, loss_size: 0.6812, loss_rotsin: 0.2361, loss_centerness: 0.5753, loss_velo: 0.0628, loss_dir: 0.4170, loss_attr: 0.3150, loss: 3.8823, grad_norm: 7.1267
2021-08-17 22:19:42,519 - mmdet - INFO - Epoch [5][2100/2217]	lr: 8.000e-03, eta: 8:58:44, time: 2.065, data_time: 0.061, memory: 20207, loss_cls: 0.2505, loss_offset: 0.6121, loss_depth: 0.8051, loss_size: 0.6689, loss_rotsin: 0.2417, loss_centerness: 0.5750, loss_velo: 0.0602, loss_dir: 0.4220, loss_attr: 0.3185, loss: 3.9540, grad_norm: 8.3700
2021-08-17 22:21:26,153 - mmdet - INFO - Epoch [5][2150/2217]	lr: 8.000e-03, eta: 8:57:01, time: 2.073, data_time: 0.060, memory: 20207, loss_cls: 0.2547, loss_offset: 0.6179, loss_depth: 0.7819, loss_size: 0.6739, loss_rotsin: 0.2447, loss_centerness: 0.5750, loss_velo: 0.0599, loss_dir: 0.4274, loss_attr: 0.3101, loss: 3.9456, grad_norm: 7.9634
2021-08-17 22:23:09,423 - mmdet - INFO - Epoch [5][2200/2217]	lr: 8.000e-03, eta: 8:55:17, time: 2.065, data_time: 0.060, memory: 20207, loss_cls: 0.2500, loss_offset: 0.6017, loss_depth: 0.7225, loss_size: 0.6770, loss_rotsin: 0.2378, loss_centerness: 0.5746, loss_velo: 0.0584, loss_dir: 0.4178, loss_attr: 0.2928, loss: 3.8326, grad_norm: 7.6484
2021-08-17 22:23:45,232 - mmdet - INFO - Saving checkpoint at 5 epochs
2021-08-17 22:25:37,698 - mmdet - INFO - Epoch [6][50/2217]	lr: 8.000e-03, eta: 8:52:21, time: 2.226, data_time: 0.212, memory: 20207, loss_cls: 0.2497, loss_offset: 0.6016, loss_depth: 0.6974, loss_size: 0.6435, loss_rotsin: 0.2340, loss_centerness: 0.5745, loss_velo: 0.0591, loss_dir: 0.4126, loss_attr: 0.2704, loss: 3.7427, grad_norm: 7.3213
2021-08-17 22:27:21,591 - mmdet - INFO - Epoch [6][100/2217]	lr: 8.000e-03, eta: 8:50:39, time: 2.078, data_time: 0.053, memory: 20207, loss_cls: 0.2451, loss_offset: 0.5965, loss_depth: 0.6649, loss_size: 0.6450, loss_rotsin: 0.2322, loss_centerness: 0.5742, loss_velo: 0.0610, loss_dir: 0.3981, loss_attr: 0.2769, loss: 3.6940, grad_norm: 7.1718
2021-08-17 22:29:05,229 - mmdet - INFO - Epoch [6][150/2217]	lr: 8.000e-03, eta: 8:48:56, time: 2.073, data_time: 0.052, memory: 20207, loss_cls: 0.2496, loss_offset: 0.6129, loss_depth: 0.8864, loss_size: 0.6404, loss_rotsin: 0.2343, loss_centerness: 0.5751, loss_velo: 0.0597, loss_dir: 0.4027, loss_attr: 0.2715, loss: 3.9326, grad_norm: 9.0685
2021-08-17 22:30:48,442 - mmdet - INFO - Epoch [6][200/2217]	lr: 8.000e-03, eta: 8:47:13, time: 2.064, data_time: 0.053, memory: 20207, loss_cls: 0.2455, loss_offset: 0.5878, loss_depth: 0.8041, loss_size: 0.6342, loss_rotsin: 0.2259, loss_centerness: 0.5735, loss_velo: 0.0629, loss_dir: 0.3942, loss_attr: 0.2768, loss: 3.8049, grad_norm: 8.7452
2021-08-17 22:32:31,764 - mmdet - INFO - Epoch [6][250/2217]	lr: 8.000e-03, eta: 8:45:29, time: 2.066, data_time: 0.056, memory: 20207, loss_cls: 0.2471, loss_offset: 0.5985, loss_depth: 0.6407, loss_size: 0.6487, loss_rotsin: 0.2349, loss_centerness: 0.5742, loss_velo: 0.0585, loss_dir: 0.4055, loss_attr: 0.2780, loss: 3.6862, grad_norm: 6.6877
2021-08-17 22:34:15,224 - mmdet - INFO - Epoch [6][300/2217]	lr: 8.000e-03, eta: 8:43:46, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2469, loss_offset: 0.5985, loss_depth: 0.6704, loss_size: 0.6188, loss_rotsin: 0.2284, loss_centerness: 0.5746, loss_velo: 0.0639, loss_dir: 0.4026, loss_attr: 0.2740, loss: 3.6782, grad_norm: 7.0854
2021-08-17 22:35:58,425 - mmdet - INFO - Epoch [6][350/2217]	lr: 8.000e-03, eta: 8:42:03, time: 2.064, data_time: 0.052, memory: 20207, loss_cls: 0.2470, loss_offset: 0.5997, loss_depth: 0.6741, loss_size: 0.6546, loss_rotsin: 0.2462, loss_centerness: 0.5747, loss_velo: 0.0616, loss_dir: 0.4117, loss_attr: 0.2855, loss: 3.7551, grad_norm: 7.1258
2021-08-17 22:37:41,551 - mmdet - INFO - Epoch [6][400/2217]	lr: 8.000e-03, eta: 8:40:20, time: 2.062, data_time: 0.054, memory: 20207, loss_cls: 0.2478, loss_offset: 0.6037, loss_depth: 0.7756, loss_size: 0.6547, loss_rotsin: 0.2345, loss_centerness: 0.5747, loss_velo: 0.0592, loss_dir: 0.4094, loss_attr: 0.2871, loss: 3.8466, grad_norm: 8.1887
2021-08-17 22:39:25,180 - mmdet - INFO - Epoch [6][450/2217]	lr: 8.000e-03, eta: 8:38:37, time: 2.073, data_time: 0.054, memory: 20207, loss_cls: 0.2476, loss_offset: 0.6021, loss_depth: 0.7377, loss_size: 0.6574, loss_rotsin: 0.2316, loss_centerness: 0.5747, loss_velo: 0.0608, loss_dir: 0.4084, loss_attr: 0.2840, loss: 3.8043, grad_norm: 7.2589
2021-08-17 22:41:08,199 - mmdet - INFO - Epoch [6][500/2217]	lr: 8.000e-03, eta: 8:36:53, time: 2.060, data_time: 0.051, memory: 20207, loss_cls: 0.2498, loss_offset: 0.5948, loss_depth: 0.7097, loss_size: 0.6590, loss_rotsin: 0.2315, loss_centerness: 0.5739, loss_velo: 0.0602, loss_dir: 0.4022, loss_attr: 0.2848, loss: 3.7660, grad_norm: 7.7938
2021-08-17 22:42:50,848 - mmdet - INFO - Epoch [6][550/2217]	lr: 8.000e-03, eta: 8:35:09, time: 2.053, data_time: 0.051, memory: 20207, loss_cls: 0.2473, loss_offset: 0.6030, loss_depth: 0.7026, loss_size: 0.6570, loss_rotsin: 0.2343, loss_centerness: 0.5748, loss_velo: 0.0595, loss_dir: 0.4058, loss_attr: 0.2880, loss: 3.7724, grad_norm: 7.8172
2021-08-17 22:44:33,647 - mmdet - INFO - Epoch [6][600/2217]	lr: 8.000e-03, eta: 8:33:26, time: 2.056, data_time: 0.051, memory: 20207, loss_cls: 0.2440, loss_offset: 0.5875, loss_depth: 0.7262, loss_size: 0.6388, loss_rotsin: 0.2275, loss_centerness: 0.5737, loss_velo: 0.0585, loss_dir: 0.3967, loss_attr: 0.2713, loss: 3.7241, grad_norm: 8.3041
2021-08-17 22:46:16,975 - mmdet - INFO - Epoch [6][650/2217]	lr: 8.000e-03, eta: 8:31:42, time: 2.067, data_time: 0.055, memory: 20207, loss_cls: 0.2499, loss_offset: 0.6050, loss_depth: 0.7142, loss_size: 0.6305, loss_rotsin: 0.2377, loss_centerness: 0.5749, loss_velo: 0.0605, loss_dir: 0.4123, loss_attr: 0.2869, loss: 3.7719, grad_norm: 7.5328
2021-08-17 22:48:00,114 - mmdet - INFO - Epoch [6][700/2217]	lr: 8.000e-03, eta: 8:29:59, time: 2.063, data_time: 0.053, memory: 20207, loss_cls: 0.2448, loss_offset: 0.5952, loss_depth: 0.7588, loss_size: 0.6245, loss_rotsin: 0.2291, loss_centerness: 0.5744, loss_velo: 0.0600, loss_dir: 0.3962, loss_attr: 0.2641, loss: 3.7470, grad_norm: 8.0191
2021-08-17 22:49:43,457 - mmdet - INFO - Epoch [6][750/2217]	lr: 8.000e-03, eta: 8:28:16, time: 2.067, data_time: 0.052, memory: 20207, loss_cls: 0.2479, loss_offset: 0.6018, loss_depth: 0.7699, loss_size: 0.6529, loss_rotsin: 0.2308, loss_centerness: 0.5747, loss_velo: 0.0623, loss_dir: 0.4069, loss_attr: 0.2783, loss: 3.8255, grad_norm: 8.3545
2021-08-17 22:51:27,059 - mmdet - INFO - Epoch [6][800/2217]	lr: 8.000e-03, eta: 8:26:33, time: 2.072, data_time: 0.056, memory: 20207, loss_cls: 0.2493, loss_offset: 0.6078, loss_depth: 0.8137, loss_size: 0.6484, loss_rotsin: 0.2373, loss_centerness: 0.5750, loss_velo: 0.0601, loss_dir: 0.4153, loss_attr: 0.2820, loss: 3.8890, grad_norm: 8.1815
2021-08-17 22:53:10,392 - mmdet - INFO - Epoch [6][850/2217]	lr: 8.000e-03, eta: 8:24:50, time: 2.067, data_time: 0.055, memory: 20207, loss_cls: 0.2497, loss_offset: 0.6025, loss_depth: 0.7728, loss_size: 0.6552, loss_rotsin: 0.2372, loss_centerness: 0.5749, loss_velo: 0.0607, loss_dir: 0.4069, loss_attr: 0.2872, loss: 3.8470, grad_norm: 8.1289
2021-08-17 22:54:53,582 - mmdet - INFO - Epoch [6][900/2217]	lr: 8.000e-03, eta: 8:23:07, time: 2.064, data_time: 0.052, memory: 20207, loss_cls: 0.2516, loss_offset: 0.6082, loss_depth: 0.7321, loss_size: 0.6524, loss_rotsin: 0.2361, loss_centerness: 0.5748, loss_velo: 0.0624, loss_dir: 0.4042, loss_attr: 0.2932, loss: 3.8151, grad_norm: 7.7053
2021-08-17 22:56:36,913 - mmdet - INFO - Epoch [6][950/2217]	lr: 8.000e-03, eta: 8:21:24, time: 2.067, data_time: 0.056, memory: 20207, loss_cls: 0.2491, loss_offset: 0.6072, loss_depth: 0.6839, loss_size: 0.6319, loss_rotsin: 0.2355, loss_centerness: 0.5746, loss_velo: 0.0606, loss_dir: 0.4100, loss_attr: 0.2807, loss: 3.7334, grad_norm: 7.2767
2021-08-17 22:58:20,210 - mmdet - INFO - Epoch [6][1000/2217]	lr: 8.000e-03, eta: 8:19:40, time: 2.066, data_time: 0.053, memory: 20207, loss_cls: 0.2491, loss_offset: 0.6070, loss_depth: 0.7216, loss_size: 0.6589, loss_rotsin: 0.2333, loss_centerness: 0.5750, loss_velo: 0.0588, loss_dir: 0.4050, loss_attr: 0.2877, loss: 3.7964, grad_norm: 7.8012
2021-08-17 23:00:03,699 - mmdet - INFO - Epoch [6][1050/2217]	lr: 8.000e-03, eta: 8:17:57, time: 2.070, data_time: 0.053, memory: 20207, loss_cls: 0.2491, loss_offset: 0.5991, loss_depth: 0.7689, loss_size: 0.6650, loss_rotsin: 0.2332, loss_centerness: 0.5748, loss_velo: 0.0620, loss_dir: 0.4035, loss_attr: 0.2954, loss: 3.8510, grad_norm: 7.7292
2021-08-17 23:01:46,999 - mmdet - INFO - Epoch [6][1100/2217]	lr: 8.000e-03, eta: 8:16:14, time: 2.066, data_time: 0.053, memory: 20207, loss_cls: 0.2497, loss_offset: 0.6005, loss_depth: 0.8304, loss_size: 0.6506, loss_rotsin: 0.2330, loss_centerness: 0.5744, loss_velo: 0.0623, loss_dir: 0.3930, loss_attr: 0.2909, loss: 3.8848, grad_norm: 8.7013
2021-08-17 23:03:29,771 - mmdet - INFO - Epoch [6][1150/2217]	lr: 8.000e-03, eta: 8:14:30, time: 2.055, data_time: 0.055, memory: 20207, loss_cls: 0.2449, loss_offset: 0.5979, loss_depth: 0.7019, loss_size: 0.6227, loss_rotsin: 0.2366, loss_centerness: 0.5745, loss_velo: 0.0594, loss_dir: 0.4079, loss_attr: 0.2802, loss: 3.7260, grad_norm: 7.2742
2021-08-17 23:05:12,885 - mmdet - INFO - Epoch [6][1200/2217]	lr: 8.000e-03, eta: 8:12:47, time: 2.062, data_time: 0.053, memory: 20207, loss_cls: 0.2466, loss_offset: 0.5918, loss_depth: 0.6703, loss_size: 0.6430, loss_rotsin: 0.2298, loss_centerness: 0.5741, loss_velo: 0.0613, loss_dir: 0.3991, loss_attr: 0.2862, loss: 3.7023, grad_norm: 7.1748
2021-08-17 23:06:55,943 - mmdet - INFO - Epoch [6][1250/2217]	lr: 8.000e-03, eta: 8:11:04, time: 2.061, data_time: 0.054, memory: 20207, loss_cls: 0.2463, loss_offset: 0.5970, loss_depth: 0.9289, loss_size: 0.6494, loss_rotsin: 0.2353, loss_centerness: 0.5744, loss_velo: 0.0600, loss_dir: 0.4079, loss_attr: 0.2722, loss: 3.9714, grad_norm: 9.6323
2021-08-17 23:08:39,450 - mmdet - INFO - Epoch [6][1300/2217]	lr: 8.000e-03, eta: 8:09:21, time: 2.070, data_time: 0.055, memory: 20207, loss_cls: 0.2510, loss_offset: 0.6011, loss_depth: 1.1282, loss_size: 0.6676, loss_rotsin: 0.2304, loss_centerness: 0.5744, loss_velo: 0.0582, loss_dir: 0.4037, loss_attr: 0.2972, loss: 4.2119, grad_norm: 10.7461
2021-08-17 23:10:22,521 - mmdet - INFO - Epoch [6][1350/2217]	lr: 8.000e-03, eta: 8:07:37, time: 2.061, data_time: 0.057, memory: 20207, loss_cls: 0.2498, loss_offset: 0.6024, loss_depth: 0.7056, loss_size: 0.6561, loss_rotsin: 0.2331, loss_centerness: 0.5748, loss_velo: 0.0611, loss_dir: 0.4032, loss_attr: 0.2827, loss: 3.7687, grad_norm: 6.9600
2021-08-17 23:12:05,682 - mmdet - INFO - Epoch [6][1400/2217]	lr: 8.000e-03, eta: 8:05:54, time: 2.063, data_time: 0.053, memory: 20207, loss_cls: 0.2482, loss_offset: 0.5996, loss_depth: 0.7950, loss_size: 0.6524, loss_rotsin: 0.2259, loss_centerness: 0.5744, loss_velo: 0.0641, loss_dir: 0.3937, loss_attr: 0.2835, loss: 3.8368, grad_norm: 8.7598
2021-08-17 23:13:48,674 - mmdet - INFO - Epoch [6][1450/2217]	lr: 8.000e-03, eta: 8:04:10, time: 2.060, data_time: 0.058, memory: 20207, loss_cls: 0.2456, loss_offset: 0.5939, loss_depth: 0.8160, loss_size: 0.6433, loss_rotsin: 0.2293, loss_centerness: 0.5749, loss_velo: 0.0615, loss_dir: 0.3986, loss_attr: 0.2865, loss: 3.8496, grad_norm: 8.8222
2021-08-17 23:15:31,722 - mmdet - INFO - Epoch [6][1500/2217]	lr: 8.000e-03, eta: 8:02:27, time: 2.061, data_time: 0.059, memory: 20207, loss_cls: 0.2492, loss_offset: 0.6077, loss_depth: 0.7471, loss_size: 0.6475, loss_rotsin: 0.2310, loss_centerness: 0.5749, loss_velo: 0.0618, loss_dir: 0.3990, loss_attr: 0.2721, loss: 3.7903, grad_norm: 8.0117
2021-08-17 23:17:14,932 - mmdet - INFO - Epoch [6][1550/2217]	lr: 8.000e-03, eta: 8:00:44, time: 2.064, data_time: 0.059, memory: 20207, loss_cls: 0.2477, loss_offset: 0.5988, loss_depth: 0.7168, loss_size: 0.6320, loss_rotsin: 0.2313, loss_centerness: 0.5743, loss_velo: 0.0607, loss_dir: 0.4032, loss_attr: 0.2784, loss: 3.7433, grad_norm: 7.8099
2021-08-17 23:18:57,530 - mmdet - INFO - Epoch [6][1600/2217]	lr: 8.000e-03, eta: 7:59:00, time: 2.052, data_time: 0.057, memory: 20207, loss_cls: 0.2481, loss_offset: 0.5991, loss_depth: 0.6925, loss_size: 0.6666, loss_rotsin: 0.2245, loss_centerness: 0.5745, loss_velo: 0.0604, loss_dir: 0.4005, loss_attr: 0.2742, loss: 3.7404, grad_norm: 7.2670
2021-08-17 23:20:40,396 - mmdet - INFO - Epoch [6][1650/2217]	lr: 8.000e-03, eta: 7:57:16, time: 2.057, data_time: 0.058, memory: 20207, loss_cls: 0.2470, loss_offset: 0.5939, loss_depth: 0.7026, loss_size: 0.6461, loss_rotsin: 0.2220, loss_centerness: 0.5739, loss_velo: 0.0616, loss_dir: 0.3989, loss_attr: 0.2829, loss: 3.7289, grad_norm: 7.4769
2021-08-17 23:22:23,454 - mmdet - INFO - Epoch [6][1700/2217]	lr: 8.000e-03, eta: 7:55:32, time: 2.061, data_time: 0.057, memory: 20207, loss_cls: 0.2464, loss_offset: 0.5987, loss_depth: 0.6557, loss_size: 0.6316, loss_rotsin: 0.2295, loss_centerness: 0.5744, loss_velo: 0.0598, loss_dir: 0.3935, loss_attr: 0.2851, loss: 3.6746, grad_norm: 6.8654
2021-08-17 23:24:06,307 - mmdet - INFO - Epoch [6][1750/2217]	lr: 8.000e-03, eta: 7:53:49, time: 2.057, data_time: 0.057, memory: 20207, loss_cls: 0.2446, loss_offset: 0.5977, loss_depth: 0.8678, loss_size: 0.6438, loss_rotsin: 0.2336, loss_centerness: 0.5743, loss_velo: 0.0622, loss_dir: 0.4036, loss_attr: 0.2772, loss: 3.9050, grad_norm: 9.7189
2021-08-17 23:25:48,831 - mmdet - INFO - Epoch [6][1800/2217]	lr: 8.000e-03, eta: 7:52:05, time: 2.050, data_time: 0.055, memory: 20207, loss_cls: 0.2418, loss_offset: 0.5939, loss_depth: 0.7639, loss_size: 0.6243, loss_rotsin: 0.2293, loss_centerness: 0.5741, loss_velo: 0.0588, loss_dir: 0.4012, loss_attr: 0.2734, loss: 3.7607, grad_norm: 8.3817
2021-08-17 23:27:31,747 - mmdet - INFO - Epoch [6][1850/2217]	lr: 8.000e-03, eta: 7:50:21, time: 2.058, data_time: 0.058, memory: 20207, loss_cls: 0.2479, loss_offset: 0.6013, loss_depth: 0.8900, loss_size: 0.6511, loss_rotsin: 0.2246, loss_centerness: 0.5743, loss_velo: 0.0592, loss_dir: 0.3922, loss_attr: 0.2699, loss: 3.9104, grad_norm: 8.9822
2021-08-17 23:29:14,512 - mmdet - INFO - Epoch [6][1900/2217]	lr: 8.000e-03, eta: 7:48:38, time: 2.055, data_time: 0.055, memory: 20207, loss_cls: 0.2436, loss_offset: 0.5947, loss_depth: 0.9929, loss_size: 0.6433, loss_rotsin: 0.2322, loss_centerness: 0.5738, loss_velo: 0.0586, loss_dir: 0.3987, loss_attr: 0.2697, loss: 4.0075, grad_norm: 9.1148
2021-08-17 23:30:57,725 - mmdet - INFO - Epoch [6][1950/2217]	lr: 8.000e-03, eta: 7:46:54, time: 2.064, data_time: 0.057, memory: 20207, loss_cls: 0.2462, loss_offset: 0.5904, loss_depth: 0.6942, loss_size: 0.6305, loss_rotsin: 0.2280, loss_centerness: 0.5745, loss_velo: 0.0629, loss_dir: 0.3968, loss_attr: 0.2838, loss: 3.7072, grad_norm: 7.0711
2021-08-17 23:32:41,224 - mmdet - INFO - Epoch [6][2000/2217]	lr: 8.000e-03, eta: 7:45:11, time: 2.070, data_time: 0.056, memory: 20207, loss_cls: 0.2462, loss_offset: 0.5988, loss_depth: 0.8052, loss_size: 0.6439, loss_rotsin: 0.2341, loss_centerness: 0.5745, loss_velo: 0.0596, loss_dir: 0.4040, loss_attr: 0.2865, loss: 3.8529, grad_norm: 8.5746
2021-08-17 23:34:24,156 - mmdet - INFO - Epoch [6][2050/2217]	lr: 8.000e-03, eta: 7:43:28, time: 2.058, data_time: 0.055, memory: 20207, loss_cls: 0.2444, loss_offset: 0.5895, loss_depth: 0.7829, loss_size: 0.6411, loss_rotsin: 0.2258, loss_centerness: 0.5739, loss_velo: 0.0612, loss_dir: 0.3978, loss_attr: 0.2808, loss: 3.7973, grad_norm: 8.4111
2021-08-17 23:36:07,181 - mmdet - INFO - Epoch [6][2100/2217]	lr: 8.000e-03, eta: 7:41:44, time: 2.061, data_time: 0.058, memory: 20207, loss_cls: 0.2458, loss_offset: 0.5921, loss_depth: 0.7921, loss_size: 0.6320, loss_rotsin: 0.2305, loss_centerness: 0.5741, loss_velo: 0.0611, loss_dir: 0.3968, loss_attr: 0.2750, loss: 3.7995, grad_norm: 8.2809
2021-08-17 23:37:50,356 - mmdet - INFO - Epoch [6][2150/2217]	lr: 8.000e-03, eta: 7:40:01, time: 2.064, data_time: 0.056, memory: 20207, loss_cls: 0.2435, loss_offset: 0.5885, loss_depth: 0.7210, loss_size: 0.6456, loss_rotsin: 0.2305, loss_centerness: 0.5742, loss_velo: 0.0609, loss_dir: 0.3945, loss_attr: 0.2701, loss: 3.7286, grad_norm: 7.8756
2021-08-17 23:39:33,145 - mmdet - INFO - Epoch [6][2200/2217]	lr: 8.000e-03, eta: 7:38:17, time: 2.056, data_time: 0.057, memory: 20207, loss_cls: 0.2456, loss_offset: 0.5869, loss_depth: 0.6499, loss_size: 0.6375, loss_rotsin: 0.2205, loss_centerness: 0.5738, loss_velo: 0.0569, loss_dir: 0.3864, loss_attr: 0.2654, loss: 3.6230, grad_norm: 7.0089
2021-08-17 23:40:08,444 - mmdet - INFO - Saving checkpoint at 6 epochs
2021-08-17 23:42:01,314 - mmdet - INFO - Epoch [7][50/2217]	lr: 8.000e-03, eta: 7:35:33, time: 2.233, data_time: 0.213, memory: 20207, loss_cls: 0.2401, loss_offset: 0.5919, loss_depth: 0.6623, loss_size: 0.6046, loss_rotsin: 0.2225, loss_centerness: 0.5740, loss_velo: 0.0571, loss_dir: 0.3895, loss_attr: 0.2408, loss: 3.5828, grad_norm: 6.6963
2021-08-17 23:43:44,665 - mmdet - INFO - Epoch [7][100/2217]	lr: 8.000e-03, eta: 7:33:50, time: 2.067, data_time: 0.058, memory: 20207, loss_cls: 0.2375, loss_offset: 0.5850, loss_depth: 0.6626, loss_size: 0.6121, loss_rotsin: 0.2168, loss_centerness: 0.5741, loss_velo: 0.0578, loss_dir: 0.3802, loss_attr: 0.2413, loss: 3.5673, grad_norm: 7.4642
2021-08-17 23:45:28,647 - mmdet - INFO - Epoch [7][150/2217]	lr: 8.000e-03, eta: 7:32:07, time: 2.080, data_time: 0.059, memory: 20207, loss_cls: 0.2413, loss_offset: 0.5838, loss_depth: 0.6606, loss_size: 0.5997, loss_rotsin: 0.2199, loss_centerness: 0.5737, loss_velo: 0.0604, loss_dir: 0.3814, loss_attr: 0.2619, loss: 3.5827, grad_norm: 7.6644
2021-08-17 23:47:12,725 - mmdet - INFO - Epoch [7][200/2217]	lr: 8.000e-03, eta: 7:30:25, time: 2.082, data_time: 0.058, memory: 20207, loss_cls: 0.2379, loss_offset: 0.5804, loss_depth: 0.6359, loss_size: 0.6011, loss_rotsin: 0.2255, loss_centerness: 0.5735, loss_velo: 0.0578, loss_dir: 0.3821, loss_attr: 0.2368, loss: 3.5310, grad_norm: 6.8887
2021-08-17 23:48:56,700 - mmdet - INFO - Epoch [7][250/2217]	lr: 8.000e-03, eta: 7:28:43, time: 2.079, data_time: 0.066, memory: 20207, loss_cls: 0.2371, loss_offset: 0.5769, loss_depth: 0.6331, loss_size: 0.6043, loss_rotsin: 0.2164, loss_centerness: 0.5732, loss_velo: 0.0616, loss_dir: 0.3806, loss_attr: 0.2422, loss: 3.5253, grad_norm: 6.7780
2021-08-17 23:50:40,644 - mmdet - INFO - Epoch [7][300/2217]	lr: 8.000e-03, eta: 7:27:00, time: 2.079, data_time: 0.061, memory: 20207, loss_cls: 0.2411, loss_offset: 0.5840, loss_depth: 0.7322, loss_size: 0.6106, loss_rotsin: 0.2226, loss_centerness: 0.5738, loss_velo: 0.0567, loss_dir: 0.3924, loss_attr: 0.2458, loss: 3.6591, grad_norm: 8.0946
2021-08-17 23:52:24,904 - mmdet - INFO - Epoch [7][350/2217]	lr: 8.000e-03, eta: 7:25:18, time: 2.085, data_time: 0.061, memory: 20207, loss_cls: 0.2380, loss_offset: 0.5818, loss_depth: 0.6275, loss_size: 0.6008, loss_rotsin: 0.2249, loss_centerness: 0.5736, loss_velo: 0.0590, loss_dir: 0.3839, loss_attr: 0.2270, loss: 3.5164, grad_norm: 6.8150
2021-08-17 23:54:10,476 - mmdet - INFO - Epoch [7][400/2217]	lr: 8.000e-03, eta: 7:23:38, time: 2.111, data_time: 0.060, memory: 20207, loss_cls: 0.2369, loss_offset: 0.5850, loss_depth: 0.8268, loss_size: 0.5906, loss_rotsin: 0.2221, loss_centerness: 0.5739, loss_velo: 0.0619, loss_dir: 0.3786, loss_attr: 0.2392, loss: 3.7150, grad_norm: 9.3075
2021-08-17 23:55:55,499 - mmdet - INFO - Epoch [7][450/2217]	lr: 8.000e-03, eta: 7:21:56, time: 2.100, data_time: 0.061, memory: 20207, loss_cls: 0.2375, loss_offset: 0.5800, loss_depth: 0.7344, loss_size: 0.6141, loss_rotsin: 0.2291, loss_centerness: 0.5736, loss_velo: 0.0585, loss_dir: 0.3728, loss_attr: 0.2440, loss: 3.6441, grad_norm: 8.2477
2021-08-17 23:57:39,943 - mmdet - INFO - Epoch [7][500/2217]	lr: 8.000e-03, eta: 7:20:14, time: 2.089, data_time: 0.058, memory: 20207, loss_cls: 0.2384, loss_offset: 0.5797, loss_depth: 0.7800, loss_size: 0.6151, loss_rotsin: 0.2132, loss_centerness: 0.5733, loss_velo: 0.0599, loss_dir: 0.3694, loss_attr: 0.2462, loss: 3.6753, grad_norm: 8.7755
2021-08-17 23:59:24,071 - mmdet - INFO - Epoch [7][550/2217]	lr: 8.000e-03, eta: 7:18:32, time: 2.083, data_time: 0.056, memory: 20207, loss_cls: 0.2416, loss_offset: 0.5808, loss_depth: 0.6983, loss_size: 0.6012, loss_rotsin: 0.2256, loss_centerness: 0.5736, loss_velo: 0.0605, loss_dir: 0.3858, loss_attr: 0.2435, loss: 3.6110, grad_norm: 7.7279
2021-08-18 00:01:08,222 - mmdet - INFO - Epoch [7][600/2217]	lr: 8.000e-03, eta: 7:16:50, time: 2.083, data_time: 0.055, memory: 20207, loss_cls: 0.2409, loss_offset: 0.5802, loss_depth: 0.8005, loss_size: 0.6223, loss_rotsin: 0.2244, loss_centerness: 0.5731, loss_velo: 0.0578, loss_dir: 0.3819, loss_attr: 0.2545, loss: 3.7355, grad_norm: 8.8275
2021-08-18 00:02:52,971 - mmdet - INFO - Epoch [7][650/2217]	lr: 8.000e-03, eta: 7:15:08, time: 2.095, data_time: 0.058, memory: 20207, loss_cls: 0.2402, loss_offset: 0.5837, loss_depth: 0.6946, loss_size: 0.5982, loss_rotsin: 0.2226, loss_centerness: 0.5735, loss_velo: 0.0570, loss_dir: 0.3844, loss_attr: 0.2604, loss: 3.6145, grad_norm: 7.8428
2021-08-18 00:04:36,794 - mmdet - INFO - Epoch [7][700/2217]	lr: 8.000e-03, eta: 7:13:25, time: 2.076, data_time: 0.056, memory: 20207, loss_cls: 0.2404, loss_offset: 0.5859, loss_depth: 0.6713, loss_size: 0.6197, loss_rotsin: 0.2224, loss_centerness: 0.5735, loss_velo: 0.0614, loss_dir: 0.3772, loss_attr: 0.2665, loss: 3.6183, grad_norm: 7.3818
2021-08-18 00:06:20,506 - mmdet - INFO - Epoch [7][750/2217]	lr: 8.000e-03, eta: 7:11:43, time: 2.074, data_time: 0.056, memory: 20207, loss_cls: 0.2403, loss_offset: 0.5801, loss_depth: 0.6976, loss_size: 0.5994, loss_rotsin: 0.2195, loss_centerness: 0.5731, loss_velo: 0.0583, loss_dir: 0.3777, loss_attr: 0.2421, loss: 3.5880, grad_norm: 8.1078
2021-08-18 00:08:04,123 - mmdet - INFO - Epoch [7][800/2217]	lr: 8.000e-03, eta: 7:10:00, time: 2.072, data_time: 0.053, memory: 20207, loss_cls: 0.2406, loss_offset: 0.5853, loss_depth: 0.7015, loss_size: 0.6196, loss_rotsin: 0.2241, loss_centerness: 0.5741, loss_velo: 0.0568, loss_dir: 0.3771, loss_attr: 0.2506, loss: 3.6298, grad_norm: 7.5838
2021-08-18 00:09:47,799 - mmdet - INFO - Epoch [7][850/2217]	lr: 8.000e-03, eta: 7:08:17, time: 2.073, data_time: 0.057, memory: 20207, loss_cls: 0.2383, loss_offset: 0.5795, loss_depth: 0.6989, loss_size: 0.6040, loss_rotsin: 0.2192, loss_centerness: 0.5735, loss_velo: 0.0573, loss_dir: 0.3730, loss_attr: 0.2458, loss: 3.5894, grad_norm: 8.0547
2021-08-18 00:11:31,802 - mmdet - INFO - Epoch [7][900/2217]	lr: 8.000e-03, eta: 7:06:35, time: 2.080, data_time: 0.056, memory: 20207, loss_cls: 0.2364, loss_offset: 0.5730, loss_depth: 0.6577, loss_size: 0.5858, loss_rotsin: 0.2162, loss_centerness: 0.5734, loss_velo: 0.0565, loss_dir: 0.3826, loss_attr: 0.2404, loss: 3.5221, grad_norm: 7.5146
2021-08-18 00:13:15,673 - mmdet - INFO - Epoch [7][950/2217]	lr: 8.000e-03, eta: 7:04:52, time: 2.077, data_time: 0.055, memory: 20207, loss_cls: 0.2403, loss_offset: 0.5839, loss_depth: 0.6474, loss_size: 0.5915, loss_rotsin: 0.2216, loss_centerness: 0.5737, loss_velo: 0.0590, loss_dir: 0.3854, loss_attr: 0.2563, loss: 3.5591, grad_norm: 7.5188
2021-08-18 00:14:59,914 - mmdet - INFO - Epoch [7][1000/2217]	lr: 8.000e-03, eta: 7:03:10, time: 2.085, data_time: 0.053, memory: 20207, loss_cls: 0.2378, loss_offset: 0.5795, loss_depth: 0.6580, loss_size: 0.6059, loss_rotsin: 0.2167, loss_centerness: 0.5734, loss_velo: 0.0567, loss_dir: 0.3776, loss_attr: 0.2529, loss: 3.5586, grad_norm: 7.4390
2021-08-18 00:16:43,581 - mmdet - INFO - Epoch [7][1050/2217]	lr: 8.000e-03, eta: 7:01:27, time: 2.073, data_time: 0.057, memory: 20207, loss_cls: 0.2375, loss_offset: 0.5795, loss_depth: 0.7101, loss_size: 0.5980, loss_rotsin: 0.2213, loss_centerness: 0.5732, loss_velo: 0.0562, loss_dir: 0.3830, loss_attr: 0.2390, loss: 3.5978, grad_norm: 8.3304
2021-08-18 00:18:26,696 - mmdet - INFO - Epoch [7][1100/2217]	lr: 8.000e-03, eta: 6:59:44, time: 2.062, data_time: 0.052, memory: 20207, loss_cls: 0.2377, loss_offset: 0.5810, loss_depth: 0.6941, loss_size: 0.6085, loss_rotsin: 0.2203, loss_centerness: 0.5737, loss_velo: 0.0547, loss_dir: 0.3809, loss_attr: 0.2477, loss: 3.5986, grad_norm: 7.8082
2021-08-18 00:20:09,832 - mmdet - INFO - Epoch [7][1150/2217]	lr: 8.000e-03, eta: 6:58:00, time: 2.063, data_time: 0.052, memory: 20207, loss_cls: 0.2382, loss_offset: 0.5772, loss_depth: 0.8055, loss_size: 0.6064, loss_rotsin: 0.2191, loss_centerness: 0.5732, loss_velo: 0.0588, loss_dir: 0.3794, loss_attr: 0.2460, loss: 3.7039, grad_norm: 8.7722
2021-08-18 00:21:53,182 - mmdet - INFO - Epoch [7][1200/2217]	lr: 8.000e-03, eta: 6:56:17, time: 2.067, data_time: 0.053, memory: 20207, loss_cls: 0.2402, loss_offset: 0.5796, loss_depth: 0.7132, loss_size: 0.6024, loss_rotsin: 0.2233, loss_centerness: 0.5733, loss_velo: 0.0591, loss_dir: 0.3804, loss_attr: 0.2487, loss: 3.6204, grad_norm: 8.0194
2021-08-18 00:23:36,435 - mmdet - INFO - Epoch [7][1250/2217]	lr: 8.000e-03, eta: 6:54:34, time: 2.065, data_time: 0.056, memory: 20207, loss_cls: 0.2434, loss_offset: 0.5846, loss_depth: 0.7070, loss_size: 0.6089, loss_rotsin: 0.2178, loss_centerness: 0.5736, loss_velo: 0.0576, loss_dir: 0.3819, loss_attr: 0.2577, loss: 3.6326, grad_norm: 8.0648
2021-08-18 00:25:19,808 - mmdet - INFO - Epoch [7][1300/2217]	lr: 8.000e-03, eta: 6:52:51, time: 2.067, data_time: 0.056, memory: 20207, loss_cls: 0.2414, loss_offset: 0.5889, loss_depth: 0.7631, loss_size: 0.6334, loss_rotsin: 0.2218, loss_centerness: 0.5738, loss_velo: 0.0563, loss_dir: 0.3793, loss_attr: 0.2497, loss: 3.7077, grad_norm: 8.3050
2021-08-18 00:27:03,062 - mmdet - INFO - Epoch [7][1350/2217]	lr: 8.000e-03, eta: 6:51:08, time: 2.065, data_time: 0.051, memory: 20207, loss_cls: 0.2376, loss_offset: 0.5765, loss_depth: 0.7278, loss_size: 0.6042, loss_rotsin: 0.2143, loss_centerness: 0.5731, loss_velo: 0.0573, loss_dir: 0.3768, loss_attr: 0.2460, loss: 3.6137, grad_norm: 8.5762
2021-08-18 00:28:46,088 - mmdet - INFO - Epoch [7][1400/2217]	lr: 8.000e-03, eta: 6:49:25, time: 2.061, data_time: 0.051, memory: 20207, loss_cls: 0.2387, loss_offset: 0.5802, loss_depth: 0.9569, loss_size: 0.6058, loss_rotsin: 0.2173, loss_centerness: 0.5737, loss_velo: 0.0584, loss_dir: 0.3773, loss_attr: 0.2501, loss: 3.8585, grad_norm: 9.5642
2021-08-18 00:30:29,213 - mmdet - INFO - Epoch [7][1450/2217]	lr: 8.000e-03, eta: 6:47:41, time: 2.062, data_time: 0.058, memory: 20207, loss_cls: 0.2393, loss_offset: 0.5745, loss_depth: 0.8409, loss_size: 0.6170, loss_rotsin: 0.2194, loss_centerness: 0.5732, loss_velo: 0.0581, loss_dir: 0.3761, loss_attr: 0.2496, loss: 3.7482, grad_norm: 9.0224
2021-08-18 00:32:12,424 - mmdet - INFO - Epoch [7][1500/2217]	lr: 8.000e-03, eta: 6:45:58, time: 2.064, data_time: 0.054, memory: 20207, loss_cls: 0.2389, loss_offset: 0.5833, loss_depth: 0.6813, loss_size: 0.6100, loss_rotsin: 0.2195, loss_centerness: 0.5742, loss_velo: 0.0590, loss_dir: 0.3808, loss_attr: 0.2512, loss: 3.5982, grad_norm: 7.7065
2021-08-18 00:33:55,415 - mmdet - INFO - Epoch [7][1550/2217]	lr: 8.000e-03, eta: 6:44:15, time: 2.060, data_time: 0.053, memory: 20207, loss_cls: 0.2400, loss_offset: 0.5854, loss_depth: 0.8260, loss_size: 0.6169, loss_rotsin: 0.2176, loss_centerness: 0.5742, loss_velo: 0.0565, loss_dir: 0.3833, loss_attr: 0.2475, loss: 3.7472, grad_norm: 9.3869
2021-08-18 00:35:38,266 - mmdet - INFO - Epoch [7][1600/2217]	lr: 8.000e-03, eta: 6:42:31, time: 2.057, data_time: 0.055, memory: 20207, loss_cls: 0.2392, loss_offset: 0.5847, loss_depth: 0.6684, loss_size: 0.6229, loss_rotsin: 0.2227, loss_centerness: 0.5738, loss_velo: 0.0578, loss_dir: 0.3878, loss_attr: 0.2466, loss: 3.6039, grad_norm: 7.4714
2021-08-18 00:37:21,805 - mmdet - INFO - Epoch [7][1650/2217]	lr: 8.000e-03, eta: 6:40:48, time: 2.071, data_time: 0.058, memory: 20207, loss_cls: 0.2385, loss_offset: 0.5826, loss_depth: 0.6366, loss_size: 0.6075, loss_rotsin: 0.2197, loss_centerness: 0.5734, loss_velo: 0.0572, loss_dir: 0.3748, loss_attr: 0.2393, loss: 3.5296, grad_norm: 6.8152
2021-08-18 00:39:04,859 - mmdet - INFO - Epoch [7][1700/2217]	lr: 8.000e-03, eta: 6:39:05, time: 2.061, data_time: 0.054, memory: 20207, loss_cls: 0.2377, loss_offset: 0.5780, loss_depth: 0.6283, loss_size: 0.5882, loss_rotsin: 0.2205, loss_centerness: 0.5735, loss_velo: 0.0568, loss_dir: 0.3793, loss_attr: 0.2424, loss: 3.5047, grad_norm: 7.0213
2021-08-18 00:40:48,092 - mmdet - INFO - Epoch [7][1750/2217]	lr: 8.000e-03, eta: 6:37:22, time: 2.065, data_time: 0.058, memory: 20207, loss_cls: 0.2421, loss_offset: 0.5808, loss_depth: 0.8491, loss_size: 0.6318, loss_rotsin: 0.2180, loss_centerness: 0.5734, loss_velo: 0.0584, loss_dir: 0.3764, loss_attr: 0.2446, loss: 3.7746, grad_norm: 9.7531
2021-08-18 00:42:31,244 - mmdet - INFO - Epoch [7][1800/2217]	lr: 8.000e-03, eta: 6:35:39, time: 2.063, data_time: 0.053, memory: 20207, loss_cls: 0.2395, loss_offset: 0.5790, loss_depth: 0.6350, loss_size: 0.6005, loss_rotsin: 0.2157, loss_centerness: 0.5735, loss_velo: 0.0548, loss_dir: 0.3789, loss_attr: 0.2541, loss: 3.5310, grad_norm: 6.9496
2021-08-18 00:44:14,439 - mmdet - INFO - Epoch [7][1850/2217]	lr: 8.000e-03, eta: 6:33:55, time: 2.064, data_time: 0.055, memory: 20207, loss_cls: 0.2385, loss_offset: 0.5873, loss_depth: 0.6355, loss_size: 0.5913, loss_rotsin: 0.2220, loss_centerness: 0.5739, loss_velo: 0.0555, loss_dir: 0.3767, loss_attr: 0.2444, loss: 3.5251, grad_norm: 7.0824
2021-08-18 00:45:56,971 - mmdet - INFO - Epoch [7][1900/2217]	lr: 8.000e-03, eta: 6:32:12, time: 2.051, data_time: 0.054, memory: 20207, loss_cls: 0.2414, loss_offset: 0.5824, loss_depth: 0.6399, loss_size: 0.6192, loss_rotsin: 0.2187, loss_centerness: 0.5737, loss_velo: 0.0567, loss_dir: 0.3759, loss_attr: 0.2510, loss: 3.5590, grad_norm: 7.1112
2021-08-18 00:47:39,803 - mmdet - INFO - Epoch [7][1950/2217]	lr: 8.000e-03, eta: 6:30:28, time: 2.057, data_time: 0.053, memory: 20207, loss_cls: 0.2370, loss_offset: 0.5738, loss_depth: 0.6726, loss_size: 0.6130, loss_rotsin: 0.2161, loss_centerness: 0.5731, loss_velo: 0.0535, loss_dir: 0.3664, loss_attr: 0.2403, loss: 3.5457, grad_norm: 7.8503
2021-08-18 00:49:23,226 - mmdet - INFO - Epoch [7][2000/2217]	lr: 8.000e-03, eta: 6:28:45, time: 2.068, data_time: 0.050, memory: 20207, loss_cls: 0.2322, loss_offset: 0.5737, loss_depth: 0.6452, loss_size: 0.5977, loss_rotsin: 0.2140, loss_centerness: 0.5732, loss_velo: 0.0561, loss_dir: 0.3690, loss_attr: 0.2346, loss: 3.4958, grad_norm: 7.4429
2021-08-18 00:51:06,780 - mmdet - INFO - Epoch [7][2050/2217]	lr: 8.000e-03, eta: 6:27:02, time: 2.071, data_time: 0.056, memory: 20207, loss_cls: 0.2386, loss_offset: 0.5784, loss_depth: 0.6737, loss_size: 0.6136, loss_rotsin: 0.2255, loss_centerness: 0.5732, loss_velo: 0.0564, loss_dir: 0.3752, loss_attr: 0.2503, loss: 3.5850, grad_norm: 7.4820
2021-08-18 00:52:50,122 - mmdet - INFO - Epoch [7][2100/2217]	lr: 8.000e-03, eta: 6:25:19, time: 2.067, data_time: 0.051, memory: 20207, loss_cls: 0.2336, loss_offset: 0.5699, loss_depth: 0.6080, loss_size: 0.5929, loss_rotsin: 0.2146, loss_centerness: 0.5732, loss_velo: 0.0546, loss_dir: 0.3723, loss_attr: 0.2513, loss: 3.4705, grad_norm: 6.6584
2021-08-18 00:54:33,501 - mmdet - INFO - Epoch [7][2150/2217]	lr: 8.000e-03, eta: 6:23:36, time: 2.068, data_time: 0.054, memory: 20207, loss_cls: 0.2330, loss_offset: 0.5708, loss_depth: 0.6170, loss_size: 0.5937, loss_rotsin: 0.2164, loss_centerness: 0.5728, loss_velo: 0.0536, loss_dir: 0.3691, loss_attr: 0.2422, loss: 3.4686, grad_norm: 7.1388
2021-08-18 00:56:16,951 - mmdet - INFO - Epoch [7][2200/2217]	lr: 8.000e-03, eta: 6:21:53, time: 2.069, data_time: 0.050, memory: 20207, loss_cls: 0.2343, loss_offset: 0.5729, loss_depth: 0.6549, loss_size: 0.6000, loss_rotsin: 0.2140, loss_centerness: 0.5734, loss_velo: 0.0579, loss_dir: 0.3680, loss_attr: 0.2353, loss: 3.5108, grad_norm: 7.2753
2021-08-18 00:56:52,551 - mmdet - INFO - Saving checkpoint at 7 epochs
2021-08-18 00:58:45,456 - mmdet - INFO - Epoch [8][50/2217]	lr: 8.000e-03, eta: 6:19:16, time: 2.236, data_time: 0.215, memory: 20207, loss_cls: 0.2329, loss_offset: 0.5743, loss_depth: 0.6379, loss_size: 0.5908, loss_rotsin: 0.2149, loss_centerness: 0.5732, loss_velo: 0.0537, loss_dir: 0.3616, loss_attr: 0.2195, loss: 3.4589, grad_norm: 7.1615
2021-08-18 01:00:29,296 - mmdet - INFO - Epoch [8][100/2217]	lr: 8.000e-03, eta: 6:17:34, time: 2.077, data_time: 0.060, memory: 20207, loss_cls: 0.2297, loss_offset: 0.5612, loss_depth: 0.6341, loss_size: 0.5706, loss_rotsin: 0.2080, loss_centerness: 0.5725, loss_velo: 0.0567, loss_dir: 0.3596, loss_attr: 0.2123, loss: 3.4048, grad_norm: 7.7840
2021-08-18 01:02:12,982 - mmdet - INFO - Epoch [8][150/2217]	lr: 8.000e-03, eta: 6:15:51, time: 2.074, data_time: 0.061, memory: 20207, loss_cls: 0.2321, loss_offset: 0.5738, loss_depth: 0.6877, loss_size: 0.5832, loss_rotsin: 0.2075, loss_centerness: 0.5733, loss_velo: 0.0559, loss_dir: 0.3569, loss_attr: 0.2120, loss: 3.4825, grad_norm: 8.3537
2021-08-18 01:03:56,822 - mmdet - INFO - Epoch [8][200/2217]	lr: 8.000e-03, eta: 6:14:08, time: 2.077, data_time: 0.060, memory: 20207, loss_cls: 0.2346, loss_offset: 0.5705, loss_depth: 0.7761, loss_size: 0.5808, loss_rotsin: 0.2136, loss_centerness: 0.5732, loss_velo: 0.0549, loss_dir: 0.3664, loss_attr: 0.2240, loss: 3.5941, grad_norm: 8.7980
2021-08-18 01:05:41,161 - mmdet - INFO - Epoch [8][250/2217]	lr: 8.000e-03, eta: 6:12:26, time: 2.087, data_time: 0.065, memory: 20207, loss_cls: 0.2335, loss_offset: 0.5665, loss_depth: 0.6727, loss_size: 0.5846, loss_rotsin: 0.2144, loss_centerness: 0.5727, loss_velo: 0.0571, loss_dir: 0.3534, loss_attr: 0.2213, loss: 3.4761, grad_norm: 7.8302
2021-08-18 01:07:24,919 - mmdet - INFO - Epoch [8][300/2217]	lr: 8.000e-03, eta: 6:10:43, time: 2.075, data_time: 0.060, memory: 20207, loss_cls: 0.2311, loss_offset: 0.5708, loss_depth: 0.5948, loss_size: 0.5696, loss_rotsin: 0.2116, loss_centerness: 0.5734, loss_velo: 0.0563, loss_dir: 0.3617, loss_attr: 0.2143, loss: 3.3835, grad_norm: 6.5002
2021-08-18 01:09:08,826 - mmdet - INFO - Epoch [8][350/2217]	lr: 8.000e-03, eta: 6:09:01, time: 2.078, data_time: 0.065, memory: 20207, loss_cls: 0.2318, loss_offset: 0.5688, loss_depth: 0.6316, loss_size: 0.5649, loss_rotsin: 0.2146, loss_centerness: 0.5730, loss_velo: 0.0540, loss_dir: 0.3592, loss_attr: 0.2227, loss: 3.4206, grad_norm: 7.2900
2021-08-18 01:10:52,691 - mmdet - INFO - Epoch [8][400/2217]	lr: 8.000e-03, eta: 6:07:18, time: 2.077, data_time: 0.062, memory: 20207, loss_cls: 0.2310, loss_offset: 0.5603, loss_depth: 0.7063, loss_size: 0.5755, loss_rotsin: 0.2061, loss_centerness: 0.5726, loss_velo: 0.0564, loss_dir: 0.3550, loss_attr: 0.2304, loss: 3.4936, grad_norm: 8.3221
2021-08-18 01:12:36,555 - mmdet - INFO - Epoch [8][450/2217]	lr: 8.000e-03, eta: 6:05:35, time: 2.077, data_time: 0.062, memory: 20207, loss_cls: 0.2311, loss_offset: 0.5725, loss_depth: 0.7473, loss_size: 0.5718, loss_rotsin: 0.2146, loss_centerness: 0.5728, loss_velo: 0.0544, loss_dir: 0.3659, loss_attr: 0.2140, loss: 3.5444, grad_norm: 8.8389
2021-08-18 01:14:20,642 - mmdet - INFO - Epoch [8][500/2217]	lr: 8.000e-03, eta: 6:03:53, time: 2.082, data_time: 0.060, memory: 20207, loss_cls: 0.2311, loss_offset: 0.5666, loss_depth: 0.7767, loss_size: 0.5738, loss_rotsin: 0.2091, loss_centerness: 0.5732, loss_velo: 0.0560, loss_dir: 0.3666, loss_attr: 0.2278, loss: 3.5807, grad_norm: 8.7739
2021-08-18 01:16:04,815 - mmdet - INFO - Epoch [8][550/2217]	lr: 8.000e-03, eta: 6:02:10, time: 2.083, data_time: 0.059, memory: 20207, loss_cls: 0.2326, loss_offset: 0.5697, loss_depth: 0.7595, loss_size: 0.5791, loss_rotsin: 0.2113, loss_centerness: 0.5731, loss_velo: 0.0578, loss_dir: 0.3599, loss_attr: 0.2186, loss: 3.5617, grad_norm: 9.0065
2021-08-18 01:17:48,576 - mmdet - INFO - Epoch [8][600/2217]	lr: 8.000e-03, eta: 6:00:28, time: 2.075, data_time: 0.057, memory: 20207, loss_cls: 0.2281, loss_offset: 0.5534, loss_depth: 0.6752, loss_size: 0.5769, loss_rotsin: 0.2072, loss_centerness: 0.5724, loss_velo: 0.0552, loss_dir: 0.3524, loss_attr: 0.2189, loss: 3.4396, grad_norm: 8.1953
2021-08-18 01:19:32,439 - mmdet - INFO - Epoch [8][650/2217]	lr: 8.000e-03, eta: 5:58:45, time: 2.077, data_time: 0.059, memory: 20207, loss_cls: 0.2339, loss_offset: 0.5710, loss_depth: 0.6323, loss_size: 0.5833, loss_rotsin: 0.2112, loss_centerness: 0.5731, loss_velo: 0.0555, loss_dir: 0.3601, loss_attr: 0.2250, loss: 3.4453, grad_norm: 7.5397
2021-08-18 01:21:16,338 - mmdet - INFO - Epoch [8][700/2217]	lr: 8.000e-03, eta: 5:57:02, time: 2.078, data_time: 0.059, memory: 20207, loss_cls: 0.2334, loss_offset: 0.5688, loss_depth: 0.6762, loss_size: 0.5825, loss_rotsin: 0.2127, loss_centerness: 0.5729, loss_velo: 0.0541, loss_dir: 0.3585, loss_attr: 0.2337, loss: 3.4928, grad_norm: 8.0890
2021-08-18 01:22:59,915 - mmdet - INFO - Epoch [8][750/2217]	lr: 8.000e-03, eta: 5:55:20, time: 2.072, data_time: 0.062, memory: 20207, loss_cls: 0.2332, loss_offset: 0.5623, loss_depth: 0.6834, loss_size: 0.5753, loss_rotsin: 0.2120, loss_centerness: 0.5724, loss_velo: 0.0557, loss_dir: 0.3576, loss_attr: 0.2247, loss: 3.4766, grad_norm: 8.1787
2021-08-18 01:24:43,146 - mmdet - INFO - Epoch [8][800/2217]	lr: 8.000e-03, eta: 5:53:36, time: 2.065, data_time: 0.064, memory: 20207, loss_cls: 0.2315, loss_offset: 0.5690, loss_depth: 0.6583, loss_size: 0.5542, loss_rotsin: 0.2081, loss_centerness: 0.5727, loss_velo: 0.0528, loss_dir: 0.3566, loss_attr: 0.2117, loss: 3.4149, grad_norm: 7.6196
2021-08-18 01:26:26,424 - mmdet - INFO - Epoch [8][850/2217]	lr: 8.000e-03, eta: 5:51:53, time: 2.066, data_time: 0.059, memory: 20207, loss_cls: 0.2339, loss_offset: 0.5682, loss_depth: 0.6967, loss_size: 0.5886, loss_rotsin: 0.2107, loss_centerness: 0.5732, loss_velo: 0.0556, loss_dir: 0.3579, loss_attr: 0.2298, loss: 3.5146, grad_norm: 8.2618
2021-08-18 01:28:09,928 - mmdet - INFO - Epoch [8][900/2217]	lr: 8.000e-03, eta: 5:50:10, time: 2.070, data_time: 0.061, memory: 20207, loss_cls: 0.2319, loss_offset: 0.5620, loss_depth: 0.5914, loss_size: 0.5926, loss_rotsin: 0.2051, loss_centerness: 0.5727, loss_velo: 0.0559, loss_dir: 0.3575, loss_attr: 0.2239, loss: 3.3929, grad_norm: 6.9877
2021-08-18 01:29:52,784 - mmdet - INFO - Epoch [8][950/2217]	lr: 8.000e-03, eta: 5:48:27, time: 2.057, data_time: 0.058, memory: 20207, loss_cls: 0.2344, loss_offset: 0.5671, loss_depth: 0.6327, loss_size: 0.5648, loss_rotsin: 0.2073, loss_centerness: 0.5733, loss_velo: 0.0547, loss_dir: 0.3589, loss_attr: 0.2170, loss: 3.4101, grad_norm: 7.4789
2021-08-18 01:31:36,184 - mmdet - INFO - Epoch [8][1000/2217]	lr: 8.000e-03, eta: 5:46:44, time: 2.068, data_time: 0.065, memory: 20207, loss_cls: 0.2336, loss_offset: 0.5575, loss_depth: 0.7271, loss_size: 0.5956, loss_rotsin: 0.2101, loss_centerness: 0.5722, loss_velo: 0.0560, loss_dir: 0.3606, loss_attr: 0.2244, loss: 3.5371, grad_norm: 8.6171
2021-08-18 01:33:19,307 - mmdet - INFO - Epoch [8][1050/2217]	lr: 8.000e-03, eta: 5:45:01, time: 2.062, data_time: 0.062, memory: 20207, loss_cls: 0.2342, loss_offset: 0.5678, loss_depth: 0.7754, loss_size: 0.5919, loss_rotsin: 0.2098, loss_centerness: 0.5731, loss_velo: 0.0540, loss_dir: 0.3505, loss_attr: 0.2158, loss: 3.5724, grad_norm: 8.8303
2021-08-18 01:35:02,476 - mmdet - INFO - Epoch [8][1100/2217]	lr: 8.000e-03, eta: 5:43:18, time: 2.063, data_time: 0.062, memory: 20207, loss_cls: 0.2347, loss_offset: 0.5782, loss_depth: 0.7238, loss_size: 0.5963, loss_rotsin: 0.2193, loss_centerness: 0.5733, loss_velo: 0.0516, loss_dir: 0.3595, loss_attr: 0.2241, loss: 3.5609, grad_norm: 8.4763
2021-08-18 01:36:46,311 - mmdet - INFO - Epoch [8][1150/2217]	lr: 8.000e-03, eta: 5:41:35, time: 2.077, data_time: 0.063, memory: 20207, loss_cls: 0.2283, loss_offset: 0.5604, loss_depth: 0.7661, loss_size: 0.5718, loss_rotsin: 0.2093, loss_centerness: 0.5726, loss_velo: 0.0534, loss_dir: 0.3537, loss_attr: 0.2257, loss: 3.5413, grad_norm: 8.6262
2021-08-18 01:38:29,652 - mmdet - INFO - Epoch [8][1200/2217]	lr: 8.000e-03, eta: 5:39:52, time: 2.067, data_time: 0.063, memory: 20207, loss_cls: 0.2306, loss_offset: 0.5646, loss_depth: 0.6025, loss_size: 0.5783, loss_rotsin: 0.2104, loss_centerness: 0.5727, loss_velo: 0.0538, loss_dir: 0.3557, loss_attr: 0.2218, loss: 3.3905, grad_norm: 6.9953
2021-08-18 01:40:12,693 - mmdet - INFO - Epoch [8][1250/2217]	lr: 8.000e-03, eta: 5:38:09, time: 2.061, data_time: 0.061, memory: 20207, loss_cls: 0.2348, loss_offset: 0.5734, loss_depth: 0.6306, loss_size: 0.5779, loss_rotsin: 0.2160, loss_centerness: 0.5729, loss_velo: 0.0556, loss_dir: 0.3614, loss_attr: 0.2275, loss: 3.4502, grad_norm: 7.4929
2021-08-18 01:41:56,368 - mmdet - INFO - Epoch [8][1300/2217]	lr: 8.000e-03, eta: 5:36:26, time: 2.073, data_time: 0.059, memory: 20207, loss_cls: 0.2305, loss_offset: 0.5635, loss_depth: 0.5997, loss_size: 0.5755, loss_rotsin: 0.2075, loss_centerness: 0.5729, loss_velo: 0.0555, loss_dir: 0.3541, loss_attr: 0.2184, loss: 3.3775, grad_norm: 6.9682
2021-08-18 01:43:40,387 - mmdet - INFO - Epoch [8][1350/2217]	lr: 8.000e-03, eta: 5:34:43, time: 2.080, data_time: 0.062, memory: 20207, loss_cls: 0.2316, loss_offset: 0.5676, loss_depth: 0.7324, loss_size: 0.5731, loss_rotsin: 0.2109, loss_centerness: 0.5729, loss_velo: 0.0539, loss_dir: 0.3582, loss_attr: 0.2173, loss: 3.5178, grad_norm: 8.7022
2021-08-18 01:45:24,019 - mmdet - INFO - Epoch [8][1400/2217]	lr: 8.000e-03, eta: 5:33:00, time: 2.073, data_time: 0.061, memory: 20207, loss_cls: 0.2308, loss_offset: 0.5604, loss_depth: 0.6775, loss_size: 0.5780, loss_rotsin: 0.2082, loss_centerness: 0.5724, loss_velo: 0.0545, loss_dir: 0.3515, loss_attr: 0.2197, loss: 3.4531, grad_norm: 8.0212
2021-08-18 01:47:07,314 - mmdet - INFO - Epoch [8][1450/2217]	lr: 8.000e-03, eta: 5:31:17, time: 2.066, data_time: 0.063, memory: 20207, loss_cls: 0.2325, loss_offset: 0.5685, loss_depth: 0.6634, loss_size: 0.5789, loss_rotsin: 0.2081, loss_centerness: 0.5726, loss_velo: 0.0582, loss_dir: 0.3612, loss_attr: 0.2286, loss: 3.4719, grad_norm: 7.8025
2021-08-18 01:48:50,423 - mmdet - INFO - Epoch [8][1500/2217]	lr: 8.000e-03, eta: 5:29:34, time: 2.062, data_time: 0.064, memory: 20207, loss_cls: 0.2335, loss_offset: 0.5674, loss_depth: 0.6388, loss_size: 0.5643, loss_rotsin: 0.2077, loss_centerness: 0.5727, loss_velo: 0.0551, loss_dir: 0.3684, loss_attr: 0.2155, loss: 3.4235, grad_norm: 7.6788
2021-08-18 01:50:33,702 - mmdet - INFO - Epoch [8][1550/2217]	lr: 8.000e-03, eta: 5:27:51, time: 2.066, data_time: 0.065, memory: 20207, loss_cls: 0.2359, loss_offset: 0.5703, loss_depth: 0.8918, loss_size: 0.5758, loss_rotsin: 0.2159, loss_centerness: 0.5731, loss_velo: 0.0540, loss_dir: 0.3669, loss_attr: 0.2304, loss: 3.7140, grad_norm: 8.9871
2021-08-18 01:52:16,667 - mmdet - INFO - Epoch [8][1600/2217]	lr: 8.000e-03, eta: 5:26:08, time: 2.059, data_time: 0.063, memory: 20207, loss_cls: 0.2306, loss_offset: 0.5621, loss_depth: 0.6588, loss_size: 0.5637, loss_rotsin: 0.2082, loss_centerness: 0.5728, loss_velo: 0.0553, loss_dir: 0.3559, loss_attr: 0.2137, loss: 3.4210, grad_norm: 7.4671
2021-08-18 01:53:59,968 - mmdet - INFO - Epoch [8][1650/2217]	lr: 8.000e-03, eta: 5:24:25, time: 2.066, data_time: 0.064, memory: 20207, loss_cls: 0.2332, loss_offset: 0.5681, loss_depth: 1.0185, loss_size: 0.5817, loss_rotsin: 0.2112, loss_centerness: 0.5729, loss_velo: 0.0535, loss_dir: 0.3594, loss_attr: 0.2162, loss: 3.8147, grad_norm: 10.0325
2021-08-18 01:55:43,130 - mmdet - INFO - Epoch [8][1700/2217]	lr: 8.000e-03, eta: 5:22:42, time: 2.063, data_time: 0.060, memory: 20207, loss_cls: 0.2307, loss_offset: 0.5672, loss_depth: 0.7643, loss_size: 0.5763, loss_rotsin: 0.2126, loss_centerness: 0.5730, loss_velo: 0.0542, loss_dir: 0.3656, loss_attr: 0.2155, loss: 3.5594, grad_norm: 7.9928
2021-08-18 01:57:26,226 - mmdet - INFO - Epoch [8][1750/2217]	lr: 8.000e-03, eta: 5:20:58, time: 2.062, data_time: 0.061, memory: 20207, loss_cls: 0.2305, loss_offset: 0.5676, loss_depth: 0.6524, loss_size: 0.5814, loss_rotsin: 0.2050, loss_centerness: 0.5730, loss_velo: 0.0549, loss_dir: 0.3575, loss_attr: 0.2081, loss: 3.4304, grad_norm: 7.6465
2021-08-18 01:59:09,108 - mmdet - INFO - Epoch [8][1800/2217]	lr: 8.000e-03, eta: 5:19:15, time: 2.058, data_time: 0.064, memory: 20207, loss_cls: 0.2336, loss_offset: 0.5627, loss_depth: 0.6486, loss_size: 0.5828, loss_rotsin: 0.2090, loss_centerness: 0.5724, loss_velo: 0.0568, loss_dir: 0.3614, loss_attr: 0.2218, loss: 3.4492, grad_norm: 7.5541
2021-08-18 02:00:52,304 - mmdet - INFO - Epoch [8][1850/2217]	lr: 8.000e-03, eta: 5:17:32, time: 2.064, data_time: 0.063, memory: 20207, loss_cls: 0.2290, loss_offset: 0.5676, loss_depth: 0.7442, loss_size: 0.5631, loss_rotsin: 0.2108, loss_centerness: 0.5726, loss_velo: 0.0535, loss_dir: 0.3510, loss_attr: 0.2127, loss: 3.5044, grad_norm: 8.6287
2021-08-18 02:02:35,716 - mmdet - INFO - Epoch [8][1900/2217]	lr: 8.000e-03, eta: 5:15:49, time: 2.068, data_time: 0.066, memory: 20207, loss_cls: 0.2335, loss_offset: 0.5660, loss_depth: 0.6866, loss_size: 0.5868, loss_rotsin: 0.2076, loss_centerness: 0.5727, loss_velo: 0.0522, loss_dir: 0.3463, loss_attr: 0.2128, loss: 3.4645, grad_norm: 8.3850
2021-08-18 02:04:18,907 - mmdet - INFO - Epoch [8][1950/2217]	lr: 8.000e-03, eta: 5:14:06, time: 2.064, data_time: 0.066, memory: 20207, loss_cls: 0.2349, loss_offset: 0.5648, loss_depth: 0.6337, loss_size: 0.5938, loss_rotsin: 0.2042, loss_centerness: 0.5728, loss_velo: 0.0561, loss_dir: 0.3529, loss_attr: 0.2258, loss: 3.4390, grad_norm: 7.6426
2021-08-18 02:06:02,265 - mmdet - INFO - Epoch [8][2000/2217]	lr: 8.000e-03, eta: 5:12:23, time: 2.067, data_time: 0.066, memory: 20207, loss_cls: 0.2305, loss_offset: 0.5669, loss_depth: 0.6309, loss_size: 0.5741, loss_rotsin: 0.2042, loss_centerness: 0.5726, loss_velo: 0.0532, loss_dir: 0.3487, loss_attr: 0.2260, loss: 3.4071, grad_norm: 7.2822
2021-08-18 02:07:45,070 - mmdet - INFO - Epoch [8][2050/2217]	lr: 8.000e-03, eta: 5:10:39, time: 2.056, data_time: 0.068, memory: 20207, loss_cls: 0.2276, loss_offset: 0.5616, loss_depth: 0.6034, loss_size: 0.5626, loss_rotsin: 0.2027, loss_centerness: 0.5729, loss_velo: 0.0545, loss_dir: 0.3515, loss_attr: 0.2107, loss: 3.3473, grad_norm: 7.3165
2021-08-18 02:09:28,283 - mmdet - INFO - Epoch [8][2100/2217]	lr: 8.000e-03, eta: 5:08:56, time: 2.064, data_time: 0.065, memory: 20207, loss_cls: 0.2279, loss_offset: 0.5627, loss_depth: 0.6356, loss_size: 0.5665, loss_rotsin: 0.2050, loss_centerness: 0.5725, loss_velo: 0.0545, loss_dir: 0.3543, loss_attr: 0.2192, loss: 3.3981, grad_norm: 7.4556
2021-08-18 02:11:11,518 - mmdet - INFO - Epoch [8][2150/2217]	lr: 8.000e-03, eta: 5:07:13, time: 2.065, data_time: 0.063, memory: 20207, loss_cls: 0.2273, loss_offset: 0.5607, loss_depth: 0.6353, loss_size: 0.5606, loss_rotsin: 0.2054, loss_centerness: 0.5725, loss_velo: 0.0552, loss_dir: 0.3435, loss_attr: 0.2125, loss: 3.3731, grad_norm: 7.2629
2021-08-18 02:12:54,635 - mmdet - INFO - Epoch [8][2200/2217]	lr: 8.000e-03, eta: 5:05:30, time: 2.062, data_time: 0.066, memory: 20207, loss_cls: 0.2305, loss_offset: 0.5625, loss_depth: 0.7026, loss_size: 0.5602, loss_rotsin: 0.2043, loss_centerness: 0.5725, loss_velo: 0.0531, loss_dir: 0.3546, loss_attr: 0.2232, loss: 3.4634, grad_norm: 8.2526
2021-08-18 02:13:30,214 - mmdet - INFO - Saving checkpoint at 8 epochs
2021-08-18 02:15:22,594 - mmdet - INFO - Epoch [9][50/2217]	lr: 8.000e-04, eta: 5:02:58, time: 2.223, data_time: 0.214, memory: 20207, loss_cls: 0.2225, loss_offset: 0.5424, loss_depth: 0.5178, loss_size: 0.5289, loss_rotsin: 0.1927, loss_centerness: 0.5719, loss_velo: 0.0550, loss_dir: 0.3323, loss_attr: 0.1789, loss: 3.1423, grad_norm: 5.0633
2021-08-18 02:17:06,480 - mmdet - INFO - Epoch [9][100/2217]	lr: 8.000e-04, eta: 5:01:16, time: 2.078, data_time: 0.063, memory: 20207, loss_cls: 0.2204, loss_offset: 0.5375, loss_depth: 0.5132, loss_size: 0.5164, loss_rotsin: 0.1928, loss_centerness: 0.5712, loss_velo: 0.0558, loss_dir: 0.3244, loss_attr: 0.1742, loss: 3.1061, grad_norm: 5.0806
2021-08-18 02:18:50,363 - mmdet - INFO - Epoch [9][150/2217]	lr: 8.000e-04, eta: 4:59:33, time: 2.078, data_time: 0.065, memory: 20207, loss_cls: 0.2201, loss_offset: 0.5408, loss_depth: 0.5037, loss_size: 0.5124, loss_rotsin: 0.1928, loss_centerness: 0.5717, loss_velo: 0.0552, loss_dir: 0.3194, loss_attr: 0.1688, loss: 3.0850, grad_norm: 5.1065
2021-08-18 02:20:34,009 - mmdet - INFO - Epoch [9][200/2217]	lr: 8.000e-04, eta: 4:57:50, time: 2.073, data_time: 0.061, memory: 20207, loss_cls: 0.2168, loss_offset: 0.5399, loss_depth: 0.4923, loss_size: 0.4932, loss_rotsin: 0.1870, loss_centerness: 0.5716, loss_velo: 0.0534, loss_dir: 0.3162, loss_attr: 0.1683, loss: 3.0387, grad_norm: 4.9306
2021-08-18 02:22:18,094 - mmdet - INFO - Epoch [9][250/2217]	lr: 8.000e-04, eta: 4:56:08, time: 2.082, data_time: 0.066, memory: 20207, loss_cls: 0.2148, loss_offset: 0.5344, loss_depth: 0.4910, loss_size: 0.4820, loss_rotsin: 0.1838, loss_centerness: 0.5715, loss_velo: 0.0530, loss_dir: 0.3174, loss_attr: 0.1607, loss: 3.0086, grad_norm: 5.1425
2021-08-18 02:24:01,972 - mmdet - INFO - Epoch [9][300/2217]	lr: 8.000e-04, eta: 4:54:25, time: 2.078, data_time: 0.064, memory: 20207, loss_cls: 0.2156, loss_offset: 0.5353, loss_depth: 0.4842, loss_size: 0.5026, loss_rotsin: 0.1887, loss_centerness: 0.5709, loss_velo: 0.0508, loss_dir: 0.3091, loss_attr: 0.1570, loss: 3.0142, grad_norm: 4.9829
2021-08-18 02:25:45,396 - mmdet - INFO - Epoch [9][350/2217]	lr: 8.000e-04, eta: 4:52:42, time: 2.068, data_time: 0.065, memory: 20207, loss_cls: 0.2195, loss_offset: 0.5378, loss_depth: 0.4992, loss_size: 0.5093, loss_rotsin: 0.1828, loss_centerness: 0.5714, loss_velo: 0.0531, loss_dir: 0.3066, loss_attr: 0.1634, loss: 3.0431, grad_norm: 5.3376
2021-08-18 02:27:29,466 - mmdet - INFO - Epoch [9][400/2217]	lr: 8.000e-04, eta: 4:50:59, time: 2.081, data_time: 0.066, memory: 20207, loss_cls: 0.2163, loss_offset: 0.5335, loss_depth: 0.4776, loss_size: 0.4948, loss_rotsin: 0.1890, loss_centerness: 0.5711, loss_velo: 0.0537, loss_dir: 0.3024, loss_attr: 0.1542, loss: 2.9926, grad_norm: 5.1242
2021-08-18 02:29:13,200 - mmdet - INFO - Epoch [9][450/2217]	lr: 8.000e-04, eta: 4:49:17, time: 2.075, data_time: 0.066, memory: 20207, loss_cls: 0.2159, loss_offset: 0.5283, loss_depth: 0.4824, loss_size: 0.4922, loss_rotsin: 0.1826, loss_centerness: 0.5708, loss_velo: 0.0559, loss_dir: 0.3049, loss_attr: 0.1455, loss: 2.9785, grad_norm: 5.0548
2021-08-18 02:30:56,399 - mmdet - INFO - Epoch [9][500/2217]	lr: 8.000e-04, eta: 4:47:34, time: 2.064, data_time: 0.063, memory: 20207, loss_cls: 0.2144, loss_offset: 0.5290, loss_depth: 0.4756, loss_size: 0.4880, loss_rotsin: 0.1771, loss_centerness: 0.5715, loss_velo: 0.0541, loss_dir: 0.3056, loss_attr: 0.1496, loss: 2.9649, grad_norm: 5.0240
2021-08-18 02:32:39,640 - mmdet - INFO - Epoch [9][550/2217]	lr: 8.000e-04, eta: 4:45:50, time: 2.065, data_time: 0.061, memory: 20207, loss_cls: 0.2178, loss_offset: 0.5346, loss_depth: 0.4937, loss_size: 0.4962, loss_rotsin: 0.1837, loss_centerness: 0.5715, loss_velo: 0.0531, loss_dir: 0.3091, loss_attr: 0.1585, loss: 3.0182, grad_norm: 5.2052
2021-08-18 02:34:23,076 - mmdet - INFO - Epoch [9][600/2217]	lr: 8.000e-04, eta: 4:44:08, time: 2.069, data_time: 0.062, memory: 20207, loss_cls: 0.2136, loss_offset: 0.5256, loss_depth: 0.4689, loss_size: 0.4947, loss_rotsin: 0.1833, loss_centerness: 0.5710, loss_velo: 0.0517, loss_dir: 0.3020, loss_attr: 0.1501, loss: 2.9607, grad_norm: 5.0073
2021-08-18 02:36:06,166 - mmdet - INFO - Epoch [9][650/2217]	lr: 8.000e-04, eta: 4:42:24, time: 2.062, data_time: 0.064, memory: 20207, loss_cls: 0.2138, loss_offset: 0.5294, loss_depth: 0.4810, loss_size: 0.4806, loss_rotsin: 0.1784, loss_centerness: 0.5712, loss_velo: 0.0552, loss_dir: 0.3037, loss_attr: 0.1569, loss: 2.9702, grad_norm: 5.0439
2021-08-18 02:37:49,107 - mmdet - INFO - Epoch [9][700/2217]	lr: 8.000e-04, eta: 4:40:41, time: 2.059, data_time: 0.060, memory: 20207, loss_cls: 0.2130, loss_offset: 0.5261, loss_depth: 0.4743, loss_size: 0.4801, loss_rotsin: 0.1847, loss_centerness: 0.5711, loss_velo: 0.0542, loss_dir: 0.3004, loss_attr: 0.1508, loss: 2.9547, grad_norm: 4.8938
2021-08-18 02:39:32,466 - mmdet - INFO - Epoch [9][750/2217]	lr: 8.000e-04, eta: 4:38:58, time: 2.067, data_time: 0.064, memory: 20207, loss_cls: 0.2131, loss_offset: 0.5315, loss_depth: 0.4722, loss_size: 0.4815, loss_rotsin: 0.1789, loss_centerness: 0.5714, loss_velo: 0.0527, loss_dir: 0.2943, loss_attr: 0.1458, loss: 2.9414, grad_norm: 4.8760
2021-08-18 02:41:15,554 - mmdet - INFO - Epoch [9][800/2217]	lr: 8.000e-04, eta: 4:37:15, time: 2.062, data_time: 0.060, memory: 20207, loss_cls: 0.2135, loss_offset: 0.5329, loss_depth: 0.4741, loss_size: 0.4910, loss_rotsin: 0.1807, loss_centerness: 0.5712, loss_velo: 0.0509, loss_dir: 0.3039, loss_attr: 0.1490, loss: 2.9670, grad_norm: 4.9846
2021-08-18 02:42:59,219 - mmdet - INFO - Epoch [9][850/2217]	lr: 8.000e-04, eta: 4:35:32, time: 2.073, data_time: 0.061, memory: 20207, loss_cls: 0.2140, loss_offset: 0.5278, loss_depth: 0.4705, loss_size: 0.4882, loss_rotsin: 0.1837, loss_centerness: 0.5711, loss_velo: 0.0526, loss_dir: 0.3042, loss_attr: 0.1445, loss: 2.9566, grad_norm: 4.8948
2021-08-18 02:44:42,575 - mmdet - INFO - Epoch [9][900/2217]	lr: 8.000e-04, eta: 4:33:49, time: 2.067, data_time: 0.058, memory: 20207, loss_cls: 0.2151, loss_offset: 0.5275, loss_depth: 0.4654, loss_size: 0.4889, loss_rotsin: 0.1790, loss_centerness: 0.5710, loss_velo: 0.0531, loss_dir: 0.2937, loss_attr: 0.1456, loss: 2.9393, grad_norm: 5.0092
2021-08-18 02:46:25,605 - mmdet - INFO - Epoch [9][950/2217]	lr: 8.000e-04, eta: 4:32:06, time: 2.061, data_time: 0.062, memory: 20207, loss_cls: 0.2129, loss_offset: 0.5211, loss_depth: 0.4644, loss_size: 0.4805, loss_rotsin: 0.1786, loss_centerness: 0.5707, loss_velo: 0.0533, loss_dir: 0.3052, loss_attr: 0.1438, loss: 2.9304, grad_norm: 4.9633
2021-08-18 02:48:08,748 - mmdet - INFO - Epoch [9][1000/2217]	lr: 8.000e-04, eta: 4:30:23, time: 2.063, data_time: 0.060, memory: 20207, loss_cls: 0.2105, loss_offset: 0.5215, loss_depth: 0.4597, loss_size: 0.4745, loss_rotsin: 0.1770, loss_centerness: 0.5709, loss_velo: 0.0494, loss_dir: 0.3000, loss_attr: 0.1463, loss: 2.9097, grad_norm: 4.8805
2021-08-18 02:49:52,292 - mmdet - INFO - Epoch [9][1050/2217]	lr: 8.000e-04, eta: 4:28:40, time: 2.071, data_time: 0.064, memory: 20207, loss_cls: 0.2132, loss_offset: 0.5314, loss_depth: 0.4745, loss_size: 0.4745, loss_rotsin: 0.1832, loss_centerness: 0.5714, loss_velo: 0.0534, loss_dir: 0.3028, loss_attr: 0.1461, loss: 2.9504, grad_norm: 5.0392
2021-08-18 02:51:35,490 - mmdet - INFO - Epoch [9][1100/2217]	lr: 8.000e-04, eta: 4:26:57, time: 2.064, data_time: 0.059, memory: 20207, loss_cls: 0.2133, loss_offset: 0.5299, loss_depth: 0.4683, loss_size: 0.4814, loss_rotsin: 0.1796, loss_centerness: 0.5713, loss_velo: 0.0547, loss_dir: 0.3032, loss_attr: 0.1522, loss: 2.9540, grad_norm: 4.9044
2021-08-18 02:53:18,606 - mmdet - INFO - Epoch [9][1150/2217]	lr: 8.000e-04, eta: 4:25:14, time: 2.062, data_time: 0.063, memory: 20207, loss_cls: 0.2122, loss_offset: 0.5283, loss_depth: 0.4676, loss_size: 0.4799, loss_rotsin: 0.1821, loss_centerness: 0.5709, loss_velo: 0.0542, loss_dir: 0.2952, loss_attr: 0.1430, loss: 2.9336, grad_norm: 4.9632
2021-08-18 02:55:01,708 - mmdet - INFO - Epoch [9][1200/2217]	lr: 8.000e-04, eta: 4:23:31, time: 2.062, data_time: 0.062, memory: 20207, loss_cls: 0.2134, loss_offset: 0.5315, loss_depth: 0.4723, loss_size: 0.4775, loss_rotsin: 0.1846, loss_centerness: 0.5712, loss_velo: 0.0524, loss_dir: 0.3049, loss_attr: 0.1426, loss: 2.9502, grad_norm: 4.8913
2021-08-18 02:56:44,770 - mmdet - INFO - Epoch [9][1250/2217]	lr: 8.000e-04, eta: 4:21:48, time: 2.061, data_time: 0.071, memory: 20207, loss_cls: 0.2105, loss_offset: 0.5258, loss_depth: 0.4613, loss_size: 0.4746, loss_rotsin: 0.1782, loss_centerness: 0.5711, loss_velo: 0.0530, loss_dir: 0.2978, loss_attr: 0.1392, loss: 2.9115, grad_norm: 5.0393
2021-08-18 02:58:27,727 - mmdet - INFO - Epoch [9][1300/2217]	lr: 8.000e-04, eta: 4:20:05, time: 2.059, data_time: 0.069, memory: 20207, loss_cls: 0.2119, loss_offset: 0.5265, loss_depth: 0.4699, loss_size: 0.4840, loss_rotsin: 0.1789, loss_centerness: 0.5709, loss_velo: 0.0554, loss_dir: 0.2963, loss_attr: 0.1523, loss: 2.9461, grad_norm: 5.0184
2021-08-18 03:00:10,711 - mmdet - INFO - Epoch [9][1350/2217]	lr: 8.000e-04, eta: 4:18:22, time: 2.060, data_time: 0.071, memory: 20207, loss_cls: 0.2106, loss_offset: 0.5241, loss_depth: 0.4694, loss_size: 0.4786, loss_rotsin: 0.1803, loss_centerness: 0.5711, loss_velo: 0.0533, loss_dir: 0.2958, loss_attr: 0.1471, loss: 2.9302, grad_norm: 4.9431
2021-08-18 03:01:53,360 - mmdet - INFO - Epoch [9][1400/2217]	lr: 8.000e-04, eta: 4:16:38, time: 2.053, data_time: 0.072, memory: 20207, loss_cls: 0.2104, loss_offset: 0.5274, loss_depth: 0.4613, loss_size: 0.4755, loss_rotsin: 0.1768, loss_centerness: 0.5712, loss_velo: 0.0524, loss_dir: 0.2987, loss_attr: 0.1392, loss: 2.9130, grad_norm: 4.8533
2021-08-18 03:03:36,417 - mmdet - INFO - Epoch [9][1450/2217]	lr: 8.000e-04, eta: 4:14:55, time: 2.061, data_time: 0.072, memory: 20207, loss_cls: 0.2136, loss_offset: 0.5251, loss_depth: 0.4583, loss_size: 0.4816, loss_rotsin: 0.1777, loss_centerness: 0.5709, loss_velo: 0.0550, loss_dir: 0.2967, loss_attr: 0.1482, loss: 2.9271, grad_norm: 5.2295
2021-08-18 03:05:19,580 - mmdet - INFO - Epoch [9][1500/2217]	lr: 8.000e-04, eta: 4:13:12, time: 2.063, data_time: 0.071, memory: 20207, loss_cls: 0.2121, loss_offset: 0.5281, loss_depth: 0.4643, loss_size: 0.4776, loss_rotsin: 0.1788, loss_centerness: 0.5711, loss_velo: 0.0538, loss_dir: 0.2945, loss_attr: 0.1462, loss: 2.9264, grad_norm: 5.0296
2021-08-18 03:07:02,613 - mmdet - INFO - Epoch [9][1550/2217]	lr: 8.000e-04, eta: 4:11:29, time: 2.061, data_time: 0.072, memory: 20207, loss_cls: 0.2121, loss_offset: 0.5330, loss_depth: 0.4693, loss_size: 0.4713, loss_rotsin: 0.1794, loss_centerness: 0.5716, loss_velo: 0.0545, loss_dir: 0.2997, loss_attr: 0.1408, loss: 2.9317, grad_norm: 5.0839
2021-08-18 03:08:45,457 - mmdet - INFO - Epoch [9][1600/2217]	lr: 8.000e-04, eta: 4:09:46, time: 2.057, data_time: 0.073, memory: 20207, loss_cls: 0.2108, loss_offset: 0.5231, loss_depth: 0.4603, loss_size: 0.4779, loss_rotsin: 0.1805, loss_centerness: 0.5709, loss_velo: 0.0548, loss_dir: 0.3003, loss_attr: 0.1433, loss: 2.9219, grad_norm: 5.0866
2021-08-18 03:10:28,477 - mmdet - INFO - Epoch [9][1650/2217]	lr: 8.000e-04, eta: 4:08:03, time: 2.060, data_time: 0.073, memory: 20207, loss_cls: 0.2115, loss_offset: 0.5240, loss_depth: 0.4634, loss_size: 0.4807, loss_rotsin: 0.1749, loss_centerness: 0.5711, loss_velo: 0.0515, loss_dir: 0.2911, loss_attr: 0.1398, loss: 2.9079, grad_norm: 4.9977
2021-08-18 03:12:11,840 - mmdet - INFO - Epoch [9][1700/2217]	lr: 8.000e-04, eta: 4:06:20, time: 2.067, data_time: 0.071, memory: 20207, loss_cls: 0.2126, loss_offset: 0.5286, loss_depth: 0.4617, loss_size: 0.4834, loss_rotsin: 0.1828, loss_centerness: 0.5710, loss_velo: 0.0502, loss_dir: 0.3042, loss_attr: 0.1403, loss: 2.9347, grad_norm: 5.0411
2021-08-18 03:13:55,145 - mmdet - INFO - Epoch [9][1750/2217]	lr: 8.000e-04, eta: 4:04:37, time: 2.066, data_time: 0.070, memory: 20207, loss_cls: 0.2116, loss_offset: 0.5261, loss_depth: 0.4626, loss_size: 0.4606, loss_rotsin: 0.1816, loss_centerness: 0.5708, loss_velo: 0.0534, loss_dir: 0.3008, loss_attr: 0.1431, loss: 2.9105, grad_norm: 5.0455
2021-08-18 03:15:38,731 - mmdet - INFO - Epoch [9][1800/2217]	lr: 8.000e-04, eta: 4:02:54, time: 2.072, data_time: 0.068, memory: 20207, loss_cls: 0.2142, loss_offset: 0.5224, loss_depth: 0.4604, loss_size: 0.4864, loss_rotsin: 0.1791, loss_centerness: 0.5710, loss_velo: 0.0530, loss_dir: 0.2882, loss_attr: 0.1472, loss: 2.9218, grad_norm: 5.1144
2021-08-18 03:17:22,923 - mmdet - INFO - Epoch [9][1850/2217]	lr: 8.000e-04, eta: 4:01:11, time: 2.084, data_time: 0.068, memory: 20207, loss_cls: 0.2106, loss_offset: 0.5182, loss_depth: 0.4527, loss_size: 0.4777, loss_rotsin: 0.1771, loss_centerness: 0.5705, loss_velo: 0.0538, loss_dir: 0.2917, loss_attr: 0.1402, loss: 2.8924, grad_norm: 5.1649
2021-08-18 03:19:07,529 - mmdet - INFO - Epoch [9][1900/2217]	lr: 8.000e-04, eta: 3:59:28, time: 2.092, data_time: 0.062, memory: 20207, loss_cls: 0.2107, loss_offset: 0.5236, loss_depth: 0.4669, loss_size: 0.4715, loss_rotsin: 0.1801, loss_centerness: 0.5710, loss_velo: 0.0531, loss_dir: 0.2934, loss_attr: 0.1421, loss: 2.9123, grad_norm: 5.1640
2021-08-18 03:20:51,884 - mmdet - INFO - Epoch [9][1950/2217]	lr: 8.000e-04, eta: 3:57:46, time: 2.087, data_time: 0.060, memory: 20207, loss_cls: 0.2106, loss_offset: 0.5188, loss_depth: 0.4566, loss_size: 0.4754, loss_rotsin: 0.1790, loss_centerness: 0.5708, loss_velo: 0.0502, loss_dir: 0.2880, loss_attr: 0.1383, loss: 2.8876, grad_norm: 4.9998
2021-08-18 03:22:35,828 - mmdet - INFO - Epoch [9][2000/2217]	lr: 8.000e-04, eta: 3:56:03, time: 2.079, data_time: 0.065, memory: 20207, loss_cls: 0.2096, loss_offset: 0.5224, loss_depth: 0.4551, loss_size: 0.4666, loss_rotsin: 0.1765, loss_centerness: 0.5706, loss_velo: 0.0543, loss_dir: 0.2960, loss_attr: 0.1385, loss: 2.8895, grad_norm: 4.9221
2021-08-18 03:24:19,256 - mmdet - INFO - Epoch [9][2050/2217]	lr: 8.000e-04, eta: 3:54:20, time: 2.069, data_time: 0.070, memory: 20207, loss_cls: 0.2117, loss_offset: 0.5294, loss_depth: 0.4618, loss_size: 0.4677, loss_rotsin: 0.1728, loss_centerness: 0.5710, loss_velo: 0.0542, loss_dir: 0.2896, loss_attr: 0.1413, loss: 2.8995, grad_norm: 4.9591
2021-08-18 03:26:03,221 - mmdet - INFO - Epoch [9][2100/2217]	lr: 8.000e-04, eta: 3:52:37, time: 2.079, data_time: 0.069, memory: 20207, loss_cls: 0.2113, loss_offset: 0.5236, loss_depth: 0.4723, loss_size: 0.4830, loss_rotsin: 0.1758, loss_centerness: 0.5709, loss_velo: 0.0524, loss_dir: 0.2890, loss_attr: 0.1378, loss: 2.9162, grad_norm: 4.9687
2021-08-18 03:27:46,893 - mmdet - INFO - Epoch [9][2150/2217]	lr: 8.000e-04, eta: 3:50:54, time: 2.073, data_time: 0.066, memory: 20207, loss_cls: 0.2095, loss_offset: 0.5177, loss_depth: 0.4562, loss_size: 0.4659, loss_rotsin: 0.1762, loss_centerness: 0.5706, loss_velo: 0.0532, loss_dir: 0.2873, loss_attr: 0.1466, loss: 2.8832, grad_norm: 5.0466
2021-08-18 03:29:30,571 - mmdet - INFO - Epoch [9][2200/2217]	lr: 8.000e-04, eta: 3:49:11, time: 2.074, data_time: 0.069, memory: 20207, loss_cls: 0.2108, loss_offset: 0.5276, loss_depth: 0.4720, loss_size: 0.4708, loss_rotsin: 0.1764, loss_centerness: 0.5712, loss_velo: 0.0518, loss_dir: 0.2977, loss_attr: 0.1427, loss: 2.9209, grad_norm: 5.3152
2021-08-18 03:30:06,620 - mmdet - INFO - Saving checkpoint at 9 epochs
2021-08-18 03:31:59,079 - mmdet - INFO - Epoch [10][50/2217]	lr: 8.000e-04, eta: 3:46:44, time: 2.226, data_time: 0.217, memory: 20207, loss_cls: 0.2106, loss_offset: 0.5215, loss_depth: 0.4554, loss_size: 0.4736, loss_rotsin: 0.1713, loss_centerness: 0.5709, loss_velo: 0.0527, loss_dir: 0.2807, loss_attr: 0.1336, loss: 2.8704, grad_norm: 5.0621
2021-08-18 03:33:43,118 - mmdet - INFO - Epoch [10][100/2217]	lr: 8.000e-04, eta: 3:45:01, time: 2.081, data_time: 0.058, memory: 20207, loss_cls: 0.2094, loss_offset: 0.5172, loss_depth: 0.4435, loss_size: 0.4607, loss_rotsin: 0.1774, loss_centerness: 0.5706, loss_velo: 0.0517, loss_dir: 0.2872, loss_attr: 0.1293, loss: 2.8470, grad_norm: 4.8914
2021-08-18 03:35:27,026 - mmdet - INFO - Epoch [10][150/2217]	lr: 8.000e-04, eta: 3:43:19, time: 2.078, data_time: 0.058, memory: 20207, loss_cls: 0.2104, loss_offset: 0.5217, loss_depth: 0.4429, loss_size: 0.4621, loss_rotsin: 0.1787, loss_centerness: 0.5710, loss_velo: 0.0540, loss_dir: 0.2880, loss_attr: 0.1257, loss: 2.8546, grad_norm: 4.9375
2021-08-18 03:37:11,042 - mmdet - INFO - Epoch [10][200/2217]	lr: 8.000e-04, eta: 3:41:36, time: 2.080, data_time: 0.059, memory: 20207, loss_cls: 0.2102, loss_offset: 0.5280, loss_depth: 0.4446, loss_size: 0.4691, loss_rotsin: 0.1779, loss_centerness: 0.5712, loss_velo: 0.0520, loss_dir: 0.2945, loss_attr: 0.1315, loss: 2.8792, grad_norm: 5.0101
2021-08-18 03:38:55,528 - mmdet - INFO - Epoch [10][250/2217]	lr: 8.000e-04, eta: 3:39:53, time: 2.090, data_time: 0.064, memory: 20207, loss_cls: 0.2120, loss_offset: 0.5246, loss_depth: 0.4626, loss_size: 0.4726, loss_rotsin: 0.1782, loss_centerness: 0.5707, loss_velo: 0.0534, loss_dir: 0.2900, loss_attr: 0.1326, loss: 2.8967, grad_norm: 5.5143
2021-08-18 03:40:40,064 - mmdet - INFO - Epoch [10][300/2217]	lr: 8.000e-04, eta: 3:38:11, time: 2.091, data_time: 0.060, memory: 20207, loss_cls: 0.2097, loss_offset: 0.5221, loss_depth: 0.4418, loss_size: 0.4704, loss_rotsin: 0.1801, loss_centerness: 0.5707, loss_velo: 0.0501, loss_dir: 0.2901, loss_attr: 0.1287, loss: 2.8637, grad_norm: 5.0922
2021-08-18 03:42:24,379 - mmdet - INFO - Epoch [10][350/2217]	lr: 8.000e-04, eta: 3:36:28, time: 2.086, data_time: 0.063, memory: 20207, loss_cls: 0.2086, loss_offset: 0.5234, loss_depth: 0.4493, loss_size: 0.4719, loss_rotsin: 0.1776, loss_centerness: 0.5708, loss_velo: 0.0534, loss_dir: 0.2885, loss_attr: 0.1306, loss: 2.8740, grad_norm: 5.0506
2021-08-18 03:44:08,620 - mmdet - INFO - Epoch [10][400/2217]	lr: 8.000e-04, eta: 3:34:45, time: 2.085, data_time: 0.057, memory: 20207, loss_cls: 0.2103, loss_offset: 0.5181, loss_depth: 0.4469, loss_size: 0.4563, loss_rotsin: 0.1768, loss_centerness: 0.5705, loss_velo: 0.0542, loss_dir: 0.2832, loss_attr: 0.1341, loss: 2.8505, grad_norm: 5.0442
2021-08-18 03:45:52,887 - mmdet - INFO - Epoch [10][450/2217]	lr: 8.000e-04, eta: 3:33:03, time: 2.085, data_time: 0.058, memory: 20207, loss_cls: 0.2085, loss_offset: 0.5220, loss_depth: 0.4529, loss_size: 0.4614, loss_rotsin: 0.1782, loss_centerness: 0.5710, loss_velo: 0.0525, loss_dir: 0.2889, loss_attr: 0.1277, loss: 2.8632, grad_norm: 4.8497
2021-08-18 03:47:37,235 - mmdet - INFO - Epoch [10][500/2217]	lr: 8.000e-04, eta: 3:31:20, time: 2.087, data_time: 0.056, memory: 20207, loss_cls: 0.2072, loss_offset: 0.5181, loss_depth: 0.4431, loss_size: 0.4574, loss_rotsin: 0.1696, loss_centerness: 0.5709, loss_velo: 0.0524, loss_dir: 0.2826, loss_attr: 0.1344, loss: 2.8357, grad_norm: 4.8582
2021-08-18 03:49:21,470 - mmdet - INFO - Epoch [10][550/2217]	lr: 8.000e-04, eta: 3:29:37, time: 2.085, data_time: 0.060, memory: 20207, loss_cls: 0.2095, loss_offset: 0.5215, loss_depth: 0.4455, loss_size: 0.4696, loss_rotsin: 0.1747, loss_centerness: 0.5711, loss_velo: 0.0506, loss_dir: 0.2853, loss_attr: 0.1325, loss: 2.8602, grad_norm: 5.0996
2021-08-18 03:51:05,848 - mmdet - INFO - Epoch [10][600/2217]	lr: 8.000e-04, eta: 3:27:55, time: 2.088, data_time: 0.058, memory: 20207, loss_cls: 0.2111, loss_offset: 0.5214, loss_depth: 0.4451, loss_size: 0.4634, loss_rotsin: 0.1732, loss_centerness: 0.5707, loss_velo: 0.0539, loss_dir: 0.2811, loss_attr: 0.1306, loss: 2.8504, grad_norm: 5.0195
2021-08-18 03:52:49,949 - mmdet - INFO - Epoch [10][650/2217]	lr: 8.000e-04, eta: 3:26:12, time: 2.082, data_time: 0.060, memory: 20207, loss_cls: 0.2103, loss_offset: 0.5208, loss_depth: 0.4463, loss_size: 0.4595, loss_rotsin: 0.1740, loss_centerness: 0.5708, loss_velo: 0.0532, loss_dir: 0.2795, loss_attr: 0.1362, loss: 2.8507, grad_norm: 5.0932
2021-08-18 03:54:33,915 - mmdet - INFO - Epoch [10][700/2217]	lr: 8.000e-04, eta: 3:24:29, time: 2.079, data_time: 0.059, memory: 20207, loss_cls: 0.2092, loss_offset: 0.5193, loss_depth: 0.4434, loss_size: 0.4660, loss_rotsin: 0.1761, loss_centerness: 0.5708, loss_velo: 0.0529, loss_dir: 0.2836, loss_attr: 0.1265, loss: 2.8478, grad_norm: 5.0818
2021-08-18 03:56:18,434 - mmdet - INFO - Epoch [10][750/2217]	lr: 8.000e-04, eta: 3:22:46, time: 2.090, data_time: 0.057, memory: 20207, loss_cls: 0.2062, loss_offset: 0.5202, loss_depth: 0.4357, loss_size: 0.4506, loss_rotsin: 0.1742, loss_centerness: 0.5709, loss_velo: 0.0516, loss_dir: 0.2786, loss_attr: 0.1293, loss: 2.8173, grad_norm: 5.1266
2021-08-18 03:58:02,536 - mmdet - INFO - Epoch [10][800/2217]	lr: 8.000e-04, eta: 3:21:03, time: 2.082, data_time: 0.056, memory: 20207, loss_cls: 0.2071, loss_offset: 0.5187, loss_depth: 0.4458, loss_size: 0.4625, loss_rotsin: 0.1778, loss_centerness: 0.5708, loss_velo: 0.0526, loss_dir: 0.2884, loss_attr: 0.1266, loss: 2.8503, grad_norm: 5.0839
2021-08-18 03:59:46,178 - mmdet - INFO - Epoch [10][850/2217]	lr: 8.000e-04, eta: 3:19:21, time: 2.073, data_time: 0.057, memory: 20207, loss_cls: 0.2106, loss_offset: 0.5216, loss_depth: 0.4507, loss_size: 0.4759, loss_rotsin: 0.1743, loss_centerness: 0.5706, loss_velo: 0.0547, loss_dir: 0.2883, loss_attr: 0.1312, loss: 2.8780, grad_norm: 5.3966
2021-08-18 04:01:29,882 - mmdet - INFO - Epoch [10][900/2217]	lr: 8.000e-04, eta: 3:17:38, time: 2.074, data_time: 0.057, memory: 20207, loss_cls: 0.2076, loss_offset: 0.5154, loss_depth: 0.4481, loss_size: 0.4666, loss_rotsin: 0.1717, loss_centerness: 0.5706, loss_velo: 0.0520, loss_dir: 0.2794, loss_attr: 0.1291, loss: 2.8406, grad_norm: 5.1089
2021-08-18 04:03:14,140 - mmdet - INFO - Epoch [10][950/2217]	lr: 8.000e-04, eta: 3:15:55, time: 2.085, data_time: 0.056, memory: 20207, loss_cls: 0.2082, loss_offset: 0.5097, loss_depth: 0.4427, loss_size: 0.4487, loss_rotsin: 0.1693, loss_centerness: 0.5701, loss_velo: 0.0528, loss_dir: 0.2717, loss_attr: 0.1291, loss: 2.8022, grad_norm: 5.1975
2021-08-18 04:04:58,546 - mmdet - INFO - Epoch [10][1000/2217]	lr: 8.000e-04, eta: 3:14:12, time: 2.088, data_time: 0.057, memory: 20207, loss_cls: 0.2103, loss_offset: 0.5200, loss_depth: 0.4504, loss_size: 0.4651, loss_rotsin: 0.1765, loss_centerness: 0.5709, loss_velo: 0.0531, loss_dir: 0.2807, loss_attr: 0.1304, loss: 2.8572, grad_norm: 5.1274
2021-08-18 04:06:42,864 - mmdet - INFO - Epoch [10][1050/2217]	lr: 8.000e-04, eta: 3:12:29, time: 2.086, data_time: 0.054, memory: 20207, loss_cls: 0.2070, loss_offset: 0.5126, loss_depth: 0.4309, loss_size: 0.4626, loss_rotsin: 0.1730, loss_centerness: 0.5705, loss_velo: 0.0509, loss_dir: 0.2749, loss_attr: 0.1273, loss: 2.8098, grad_norm: 5.1239
2021-08-18 04:08:27,636 - mmdet - INFO - Epoch [10][1100/2217]	lr: 8.000e-04, eta: 3:10:47, time: 2.095, data_time: 0.056, memory: 20207, loss_cls: 0.2074, loss_offset: 0.5158, loss_depth: 0.4517, loss_size: 0.4737, loss_rotsin: 0.1744, loss_centerness: 0.5706, loss_velo: 0.0539, loss_dir: 0.2875, loss_attr: 0.1223, loss: 2.8574, grad_norm: 5.2896
2021-08-18 04:10:11,831 - mmdet - INFO - Epoch [10][1150/2217]	lr: 8.000e-04, eta: 3:09:04, time: 2.084, data_time: 0.056, memory: 20207, loss_cls: 0.2123, loss_offset: 0.5233, loss_depth: 0.4600, loss_size: 0.4707, loss_rotsin: 0.1693, loss_centerness: 0.5708, loss_velo: 0.0546, loss_dir: 0.2878, loss_attr: 0.1338, loss: 2.8826, grad_norm: 5.1272
2021-08-18 04:11:56,514 - mmdet - INFO - Epoch [10][1200/2217]	lr: 8.000e-04, eta: 3:07:21, time: 2.094, data_time: 0.060, memory: 20207, loss_cls: 0.2111, loss_offset: 0.5200, loss_depth: 0.4453, loss_size: 0.4753, loss_rotsin: 0.1743, loss_centerness: 0.5705, loss_velo: 0.0527, loss_dir: 0.2891, loss_attr: 0.1322, loss: 2.8707, grad_norm: 4.9432
2021-08-18 04:13:41,557 - mmdet - INFO - Epoch [10][1250/2217]	lr: 8.000e-04, eta: 3:05:38, time: 2.101, data_time: 0.057, memory: 20207, loss_cls: 0.2093, loss_offset: 0.5164, loss_depth: 0.4535, loss_size: 0.4663, loss_rotsin: 0.1751, loss_centerness: 0.5703, loss_velo: 0.0533, loss_dir: 0.2832, loss_attr: 0.1319, loss: 2.8592, grad_norm: 5.1423
2021-08-18 04:15:26,405 - mmdet - INFO - Epoch [10][1300/2217]	lr: 8.000e-04, eta: 3:03:56, time: 2.097, data_time: 0.055, memory: 20207, loss_cls: 0.2100, loss_offset: 0.5212, loss_depth: 0.4500, loss_size: 0.4526, loss_rotsin: 0.1729, loss_centerness: 0.5707, loss_velo: 0.0527, loss_dir: 0.2826, loss_attr: 0.1279, loss: 2.8406, grad_norm: 5.3371
2021-08-18 04:17:10,663 - mmdet - INFO - Epoch [10][1350/2217]	lr: 8.000e-04, eta: 3:02:13, time: 2.085, data_time: 0.056, memory: 20207, loss_cls: 0.2088, loss_offset: 0.5130, loss_depth: 0.4393, loss_size: 0.4586, loss_rotsin: 0.1727, loss_centerness: 0.5704, loss_velo: 0.0524, loss_dir: 0.2835, loss_attr: 0.1342, loss: 2.8329, grad_norm: 4.9666
2021-08-18 04:18:54,551 - mmdet - INFO - Epoch [10][1400/2217]	lr: 8.000e-04, eta: 3:00:30, time: 2.078, data_time: 0.056, memory: 20207, loss_cls: 0.2076, loss_offset: 0.5181, loss_depth: 0.4405, loss_size: 0.4622, loss_rotsin: 0.1715, loss_centerness: 0.5703, loss_velo: 0.0541, loss_dir: 0.2824, loss_attr: 0.1295, loss: 2.8362, grad_norm: 5.3115
2021-08-18 04:20:38,751 - mmdet - INFO - Epoch [10][1450/2217]	lr: 8.000e-04, eta: 2:58:47, time: 2.084, data_time: 0.057, memory: 20207, loss_cls: 0.2089, loss_offset: 0.5168, loss_depth: 0.4437, loss_size: 0.4570, loss_rotsin: 0.1724, loss_centerness: 0.5705, loss_velo: 0.0519, loss_dir: 0.2825, loss_attr: 0.1217, loss: 2.8254, grad_norm: 5.1765
2021-08-18 04:22:22,727 - mmdet - INFO - Epoch [10][1500/2217]	lr: 8.000e-04, eta: 2:57:04, time: 2.079, data_time: 0.058, memory: 20207, loss_cls: 0.2091, loss_offset: 0.5249, loss_depth: 0.4477, loss_size: 0.4660, loss_rotsin: 0.1734, loss_centerness: 0.5710, loss_velo: 0.0512, loss_dir: 0.2821, loss_attr: 0.1338, loss: 2.8591, grad_norm: 5.0555
2021-08-18 04:24:06,271 - mmdet - INFO - Epoch [10][1550/2217]	lr: 8.000e-04, eta: 2:55:21, time: 2.071, data_time: 0.060, memory: 20207, loss_cls: 0.2077, loss_offset: 0.5208, loss_depth: 0.4443, loss_size: 0.4547, loss_rotsin: 0.1750, loss_centerness: 0.5711, loss_velo: 0.0540, loss_dir: 0.2887, loss_attr: 0.1278, loss: 2.8441, grad_norm: 5.1305
2021-08-18 04:25:49,446 - mmdet - INFO - Epoch [10][1600/2217]	lr: 8.000e-04, eta: 2:53:38, time: 2.063, data_time: 0.060, memory: 20207, loss_cls: 0.2107, loss_offset: 0.5198, loss_depth: 0.4380, loss_size: 0.4667, loss_rotsin: 0.1730, loss_centerness: 0.5702, loss_velo: 0.0520, loss_dir: 0.2851, loss_attr: 0.1315, loss: 2.8468, grad_norm: 5.1877
2021-08-18 04:27:32,753 - mmdet - INFO - Epoch [10][1650/2217]	lr: 8.000e-04, eta: 2:51:55, time: 2.066, data_time: 0.058, memory: 20207, loss_cls: 0.2072, loss_offset: 0.5078, loss_depth: 0.4376, loss_size: 0.4496, loss_rotsin: 0.1683, loss_centerness: 0.5699, loss_velo: 0.0552, loss_dir: 0.2760, loss_attr: 0.1305, loss: 2.8022, grad_norm: 5.0848
2021-08-18 04:29:16,359 - mmdet - INFO - Epoch [10][1700/2217]	lr: 8.000e-04, eta: 2:50:12, time: 2.072, data_time: 0.059, memory: 20207, loss_cls: 0.2071, loss_offset: 0.5125, loss_depth: 0.4431, loss_size: 0.4508, loss_rotsin: 0.1718, loss_centerness: 0.5704, loss_velo: 0.0520, loss_dir: 0.2812, loss_attr: 0.1234, loss: 2.8121, grad_norm: 5.1471
2021-08-18 04:30:59,803 - mmdet - INFO - Epoch [10][1750/2217]	lr: 8.000e-04, eta: 2:48:29, time: 2.069, data_time: 0.061, memory: 20207, loss_cls: 0.2075, loss_offset: 0.5152, loss_depth: 0.4400, loss_size: 0.4604, loss_rotsin: 0.1729, loss_centerness: 0.5706, loss_velo: 0.0544, loss_dir: 0.2773, loss_attr: 0.1250, loss: 2.8233, grad_norm: 5.2825
2021-08-18 04:32:43,208 - mmdet - INFO - Epoch [10][1800/2217]	lr: 8.000e-04, eta: 2:46:46, time: 2.068, data_time: 0.061, memory: 20207, loss_cls: 0.2088, loss_offset: 0.5208, loss_depth: 0.4406, loss_size: 0.4537, loss_rotsin: 0.1718, loss_centerness: 0.5705, loss_velo: 0.0535, loss_dir: 0.2839, loss_attr: 0.1289, loss: 2.8324, grad_norm: 5.1048
2021-08-18 04:34:26,761 - mmdet - INFO - Epoch [10][1850/2217]	lr: 8.000e-04, eta: 2:45:03, time: 2.071, data_time: 0.058, memory: 20207, loss_cls: 0.2074, loss_offset: 0.5116, loss_depth: 0.4370, loss_size: 0.4551, loss_rotsin: 0.1687, loss_centerness: 0.5703, loss_velo: 0.0518, loss_dir: 0.2810, loss_attr: 0.1288, loss: 2.8118, grad_norm: 5.1786
2021-08-18 04:36:10,779 - mmdet - INFO - Epoch [10][1900/2217]	lr: 8.000e-04, eta: 2:43:20, time: 2.080, data_time: 0.059, memory: 20207, loss_cls: 0.2078, loss_offset: 0.5164, loss_depth: 0.4365, loss_size: 0.4574, loss_rotsin: 0.1687, loss_centerness: 0.5706, loss_velo: 0.0529, loss_dir: 0.2840, loss_attr: 0.1307, loss: 2.8250, grad_norm: 4.9783
2021-08-18 04:37:54,655 - mmdet - INFO - Epoch [10][1950/2217]	lr: 8.000e-04, eta: 2:41:37, time: 2.078, data_time: 0.056, memory: 20207, loss_cls: 0.2071, loss_offset: 0.5096, loss_depth: 0.4369, loss_size: 0.4647, loss_rotsin: 0.1714, loss_centerness: 0.5701, loss_velo: 0.0519, loss_dir: 0.2826, loss_attr: 0.1273, loss: 2.8215, grad_norm: 5.3373
2021-08-18 04:39:38,473 - mmdet - INFO - Epoch [10][2000/2217]	lr: 8.000e-04, eta: 2:39:54, time: 2.076, data_time: 0.058, memory: 20207, loss_cls: 0.2092, loss_offset: 0.5146, loss_depth: 0.4491, loss_size: 0.4613, loss_rotsin: 0.1712, loss_centerness: 0.5705, loss_velo: 0.0517, loss_dir: 0.2837, loss_attr: 0.1298, loss: 2.8411, grad_norm: 5.5202
2021-08-18 04:41:21,909 - mmdet - INFO - Epoch [10][2050/2217]	lr: 8.000e-04, eta: 2:38:11, time: 2.069, data_time: 0.060, memory: 20207, loss_cls: 0.2087, loss_offset: 0.5205, loss_depth: 0.4463, loss_size: 0.4707, loss_rotsin: 0.1756, loss_centerness: 0.5706, loss_velo: 0.0525, loss_dir: 0.2816, loss_attr: 0.1300, loss: 2.8564, grad_norm: 5.2657
2021-08-18 04:43:05,455 - mmdet - INFO - Epoch [10][2100/2217]	lr: 8.000e-04, eta: 2:36:28, time: 2.071, data_time: 0.058, memory: 20207, loss_cls: 0.2051, loss_offset: 0.5106, loss_depth: 0.4329, loss_size: 0.4520, loss_rotsin: 0.1690, loss_centerness: 0.5703, loss_velo: 0.0519, loss_dir: 0.2773, loss_attr: 0.1320, loss: 2.8012, grad_norm: 5.3655
2021-08-18 04:44:48,501 - mmdet - INFO - Epoch [10][2150/2217]	lr: 8.000e-04, eta: 2:34:45, time: 2.061, data_time: 0.062, memory: 20207, loss_cls: 0.2062, loss_offset: 0.5087, loss_depth: 0.4335, loss_size: 0.4486, loss_rotsin: 0.1755, loss_centerness: 0.5700, loss_velo: 0.0541, loss_dir: 0.2827, loss_attr: 0.1282, loss: 2.8074, grad_norm: 5.2232
2021-08-18 04:46:31,579 - mmdet - INFO - Epoch [10][2200/2217]	lr: 8.000e-04, eta: 2:33:01, time: 2.062, data_time: 0.061, memory: 20207, loss_cls: 0.2080, loss_offset: 0.5188, loss_depth: 0.4370, loss_size: 0.4509, loss_rotsin: 0.1767, loss_centerness: 0.5708, loss_velo: 0.0509, loss_dir: 0.2932, loss_attr: 0.1382, loss: 2.8443, grad_norm: 5.3232
2021-08-18 05:34:23,021 - mmdet - INFO - Saving checkpoint at 10 epochs
2021-08-18 05:34:24,124 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-18 05:34:24,125 - mmdet - INFO - Epoch(val) [10][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0628, img_bbox_NuScenes/car_AP_dist_1.0: 0.2746, img_bbox_NuScenes/car_AP_dist_2.0: 0.5727, img_bbox_NuScenes/car_AP_dist_4.0: 0.7529, img_bbox_NuScenes/car_trans_err: 0.6900, img_bbox_NuScenes/car_scale_err: 0.1546, img_bbox_NuScenes/car_orient_err: 0.1535, img_bbox_NuScenes/car_vel_err: 2.0772, img_bbox_NuScenes/car_attr_err: 0.1379, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0000, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0259, img_bbox_NuScenes/truck_AP_dist_2.0: 0.1574, img_bbox_NuScenes/truck_AP_dist_4.0: 0.3311, img_bbox_NuScenes/truck_trans_err: 0.9275, img_bbox_NuScenes/truck_scale_err: 0.2226, img_bbox_NuScenes/truck_orient_err: 0.2865, img_bbox_NuScenes/truck_vel_err: 1.3562, img_bbox_NuScenes/truck_attr_err: 0.1776, 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: 0.0161, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.1641, img_bbox_NuScenes/trailer_trans_err: 1.2076, img_bbox_NuScenes/trailer_scale_err: 0.2304, img_bbox_NuScenes/trailer_orient_err: 0.9719, img_bbox_NuScenes/trailer_vel_err: 0.6970, img_bbox_NuScenes/trailer_attr_err: 0.0581, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0000, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0252, img_bbox_NuScenes/bus_AP_dist_2.0: 0.2261, img_bbox_NuScenes/bus_AP_dist_4.0: 0.4541, img_bbox_NuScenes/bus_trans_err: 1.0141, img_bbox_NuScenes/bus_scale_err: 0.2239, img_bbox_NuScenes/bus_orient_err: 0.2786, img_bbox_NuScenes/bus_vel_err: 2.5229, img_bbox_NuScenes/bus_attr_err: 0.3343, 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: 0.0120, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.0768, img_bbox_NuScenes/construction_vehicle_trans_err: 1.0820, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4521, img_bbox_NuScenes/construction_vehicle_orient_err: 1.3238, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1207, img_bbox_NuScenes/construction_vehicle_attr_err: 0.3546, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0031, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.0650, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.1650, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.2598, img_bbox_NuScenes/bicycle_trans_err: 0.8115, img_bbox_NuScenes/bicycle_scale_err: 0.3103, img_bbox_NuScenes/bicycle_orient_err: 1.1333, img_bbox_NuScenes/bicycle_vel_err: 0.8861, img_bbox_NuScenes/bicycle_attr_err: 0.0334, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0044, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.0938, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.2160, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.3539, img_bbox_NuScenes/motorcycle_trans_err: 0.8375, img_bbox_NuScenes/motorcycle_scale_err: 0.2784, img_bbox_NuScenes/motorcycle_orient_err: 0.9939, img_bbox_NuScenes/motorcycle_vel_err: 1.6197, img_bbox_NuScenes/motorcycle_attr_err: 0.1210, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0354, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.1887, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.4070, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.5857, img_bbox_NuScenes/pedestrian_trans_err: 0.7598, img_bbox_NuScenes/pedestrian_scale_err: 0.2919, img_bbox_NuScenes/pedestrian_orient_err: 1.1587, img_bbox_NuScenes/pedestrian_vel_err: 0.9269, img_bbox_NuScenes/pedestrian_attr_err: 0.1928, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1629, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.4064, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.5970, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.7066, img_bbox_NuScenes/traffic_cone_trans_err: 0.5788, img_bbox_NuScenes/traffic_cone_scale_err: 0.3205, 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: 0.0793, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.3099, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5205, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.6067, img_bbox_NuScenes/barrier_trans_err: 0.6739, img_bbox_NuScenes/barrier_scale_err: 0.2809, img_bbox_NuScenes/barrier_orient_err: 0.2078, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.3081, img_bbox_NuScenes/mAP: 0.2230
2021-08-18 05:36:14,867 - mmdet - INFO - Epoch [11][50/2217]	lr: 8.000e-04, eta: 2:30:38, time: 2.213, data_time: 0.210, memory: 20207, loss_cls: 0.2034, loss_offset: 0.5093, loss_depth: 0.4217, loss_size: 0.4410, loss_rotsin: 0.1640, loss_centerness: 0.5706, loss_velo: 0.0521, loss_dir: 0.2744, loss_attr: 0.1185, loss: 2.7550, grad_norm: 4.8558
2021-08-18 05:37:58,950 - mmdet - INFO - Epoch [11][100/2217]	lr: 8.000e-04, eta: 2:28:55, time: 2.082, data_time: 0.058, memory: 20207, loss_cls: 0.2065, loss_offset: 0.5057, loss_depth: 0.4293, loss_size: 0.4496, loss_rotsin: 0.1671, loss_centerness: 0.5699, loss_velo: 0.0535, loss_dir: 0.2722, loss_attr: 0.1233, loss: 2.7770, grad_norm: 4.9770
2021-08-18 05:39:42,921 - mmdet - INFO - Epoch [11][150/2217]	lr: 8.000e-04, eta: 2:27:12, time: 2.079, data_time: 0.056, memory: 20207, loss_cls: 0.2073, loss_offset: 0.5077, loss_depth: 0.4348, loss_size: 0.4520, loss_rotsin: 0.1659, loss_centerness: 0.5700, loss_velo: 0.0557, loss_dir: 0.2709, loss_attr: 0.1263, loss: 2.7908, grad_norm: 5.2233
2021-08-18 05:41:27,132 - mmdet - INFO - Epoch [11][200/2217]	lr: 8.000e-04, eta: 2:25:29, time: 2.084, data_time: 0.060, memory: 20207, loss_cls: 0.2078, loss_offset: 0.5153, loss_depth: 0.4238, loss_size: 0.4477, loss_rotsin: 0.1699, loss_centerness: 0.5705, loss_velo: 0.0514, loss_dir: 0.2794, loss_attr: 0.1262, loss: 2.7921, grad_norm: 5.2756
2021-08-18 05:43:10,433 - mmdet - INFO - Epoch [11][250/2217]	lr: 8.000e-04, eta: 2:23:46, time: 2.066, data_time: 0.062, memory: 20207, loss_cls: 0.2048, loss_offset: 0.5063, loss_depth: 0.4334, loss_size: 0.4470, loss_rotsin: 0.1688, loss_centerness: 0.5702, loss_velo: 0.0516, loss_dir: 0.2693, loss_attr: 0.1106, loss: 2.7620, grad_norm: 5.4774
2021-08-18 05:44:54,230 - mmdet - INFO - Epoch [11][300/2217]	lr: 8.000e-04, eta: 2:22:03, time: 2.076, data_time: 0.058, memory: 20207, loss_cls: 0.2057, loss_offset: 0.5131, loss_depth: 0.4389, loss_size: 0.4455, loss_rotsin: 0.1728, loss_centerness: 0.5706, loss_velo: 0.0536, loss_dir: 0.2668, loss_attr: 0.1175, loss: 2.7844, grad_norm: 5.4340
2021-08-18 05:46:38,288 - mmdet - INFO - Epoch [11][350/2217]	lr: 8.000e-04, eta: 2:20:20, time: 2.081, data_time: 0.056, memory: 20207, loss_cls: 0.2063, loss_offset: 0.5084, loss_depth: 0.4263, loss_size: 0.4459, loss_rotsin: 0.1727, loss_centerness: 0.5703, loss_velo: 0.0530, loss_dir: 0.2708, loss_attr: 0.1170, loss: 2.7707, grad_norm: 5.0064
2021-08-18 05:48:22,181 - mmdet - INFO - Epoch [11][400/2217]	lr: 8.000e-04, eta: 2:18:37, time: 2.078, data_time: 0.059, memory: 20207, loss_cls: 0.2063, loss_offset: 0.5148, loss_depth: 0.4266, loss_size: 0.4536, loss_rotsin: 0.1736, loss_centerness: 0.5704, loss_velo: 0.0506, loss_dir: 0.2831, loss_attr: 0.1158, loss: 2.7946, grad_norm: 5.0738
2021-08-18 05:50:06,015 - mmdet - INFO - Epoch [11][450/2217]	lr: 8.000e-04, eta: 2:16:54, time: 2.077, data_time: 0.062, memory: 20207, loss_cls: 0.2047, loss_offset: 0.5049, loss_depth: 0.4238, loss_size: 0.4426, loss_rotsin: 0.1681, loss_centerness: 0.5699, loss_velo: 0.0522, loss_dir: 0.2696, loss_attr: 0.1128, loss: 2.7486, grad_norm: 4.9685
2021-08-18 05:51:49,731 - mmdet - INFO - Epoch [11][500/2217]	lr: 8.000e-04, eta: 2:15:11, time: 2.074, data_time: 0.057, memory: 20207, loss_cls: 0.2050, loss_offset: 0.5068, loss_depth: 0.4220, loss_size: 0.4404, loss_rotsin: 0.1678, loss_centerness: 0.5700, loss_velo: 0.0530, loss_dir: 0.2722, loss_attr: 0.1169, loss: 2.7541, grad_norm: 5.0506
2021-08-18 05:53:33,328 - mmdet - INFO - Epoch [11][550/2217]	lr: 8.000e-04, eta: 2:13:28, time: 2.072, data_time: 0.056, memory: 20207, loss_cls: 0.2076, loss_offset: 0.5226, loss_depth: 0.4405, loss_size: 0.4502, loss_rotsin: 0.1781, loss_centerness: 0.5709, loss_velo: 0.0513, loss_dir: 0.2798, loss_attr: 0.1212, loss: 2.8223, grad_norm: 5.1603
2021-08-18 05:55:17,159 - mmdet - INFO - Epoch [11][600/2217]	lr: 8.000e-04, eta: 2:11:45, time: 2.077, data_time: 0.054, memory: 20207, loss_cls: 0.2084, loss_offset: 0.5182, loss_depth: 0.4371, loss_size: 0.4570, loss_rotsin: 0.1704, loss_centerness: 0.5706, loss_velo: 0.0515, loss_dir: 0.2720, loss_attr: 0.1223, loss: 2.8075, grad_norm: 5.0925
2021-08-18 05:57:01,161 - mmdet - INFO - Epoch [11][650/2217]	lr: 8.000e-04, eta: 2:10:02, time: 2.080, data_time: 0.058, memory: 20207, loss_cls: 0.2043, loss_offset: 0.5052, loss_depth: 0.4306, loss_size: 0.4449, loss_rotsin: 0.1708, loss_centerness: 0.5701, loss_velo: 0.0499, loss_dir: 0.2712, loss_attr: 0.1219, loss: 2.7690, grad_norm: 5.1462
2021-08-18 05:58:45,299 - mmdet - INFO - Epoch [11][700/2217]	lr: 8.000e-04, eta: 2:08:19, time: 2.083, data_time: 0.060, memory: 20207, loss_cls: 0.2069, loss_offset: 0.5229, loss_depth: 0.4266, loss_size: 0.4478, loss_rotsin: 0.1707, loss_centerness: 0.5710, loss_velo: 0.0521, loss_dir: 0.2789, loss_attr: 0.1188, loss: 2.7956, grad_norm: 5.0470
2021-08-18 06:00:29,672 - mmdet - INFO - Epoch [11][750/2217]	lr: 8.000e-04, eta: 2:06:36, time: 2.087, data_time: 0.056, memory: 20207, loss_cls: 0.2084, loss_offset: 0.5206, loss_depth: 0.4261, loss_size: 0.4602, loss_rotsin: 0.1710, loss_centerness: 0.5708, loss_velo: 0.0537, loss_dir: 0.2781, loss_attr: 0.1200, loss: 2.8088, grad_norm: 5.1889
2021-08-18 06:02:14,058 - mmdet - INFO - Epoch [11][800/2217]	lr: 8.000e-04, eta: 2:04:54, time: 2.088, data_time: 0.054, memory: 20207, loss_cls: 0.2105, loss_offset: 0.5192, loss_depth: 0.4373, loss_size: 0.4722, loss_rotsin: 0.1712, loss_centerness: 0.5705, loss_velo: 0.0531, loss_dir: 0.2714, loss_attr: 0.1250, loss: 2.8305, grad_norm: 5.2666
2021-08-18 06:03:57,883 - mmdet - INFO - Epoch [11][850/2217]	lr: 8.000e-04, eta: 2:03:11, time: 2.076, data_time: 0.060, memory: 20207, loss_cls: 0.2086, loss_offset: 0.5139, loss_depth: 0.4323, loss_size: 0.4567, loss_rotsin: 0.1698, loss_centerness: 0.5704, loss_velo: 0.0535, loss_dir: 0.2717, loss_attr: 0.1240, loss: 2.8009, grad_norm: 5.2277
2021-08-18 06:05:41,723 - mmdet - INFO - Epoch [11][900/2217]	lr: 8.000e-04, eta: 2:01:28, time: 2.077, data_time: 0.057, memory: 20207, loss_cls: 0.2066, loss_offset: 0.5132, loss_depth: 0.4239, loss_size: 0.4547, loss_rotsin: 0.1740, loss_centerness: 0.5707, loss_velo: 0.0520, loss_dir: 0.2704, loss_attr: 0.1205, loss: 2.7863, grad_norm: 5.3833
2021-08-18 06:07:24,981 - mmdet - INFO - Epoch [11][950/2217]	lr: 8.000e-04, eta: 1:59:44, time: 2.065, data_time: 0.053, memory: 20207, loss_cls: 0.2068, loss_offset: 0.5079, loss_depth: 0.4268, loss_size: 0.4471, loss_rotsin: 0.1650, loss_centerness: 0.5700, loss_velo: 0.0538, loss_dir: 0.2728, loss_attr: 0.1165, loss: 2.7667, grad_norm: 5.1216
2021-08-18 06:09:08,254 - mmdet - INFO - Epoch [11][1000/2217]	lr: 8.000e-04, eta: 1:58:01, time: 2.065, data_time: 0.055, memory: 20207, loss_cls: 0.2075, loss_offset: 0.5100, loss_depth: 0.4256, loss_size: 0.4654, loss_rotsin: 0.1703, loss_centerness: 0.5702, loss_velo: 0.0531, loss_dir: 0.2692, loss_attr: 0.1216, loss: 2.7928, grad_norm: 5.0780
2021-08-18 06:10:52,152 - mmdet - INFO - Epoch [11][1050/2217]	lr: 8.000e-04, eta: 1:56:18, time: 2.078, data_time: 0.057, memory: 20207, loss_cls: 0.2082, loss_offset: 0.5198, loss_depth: 0.4379, loss_size: 0.4660, loss_rotsin: 0.1728, loss_centerness: 0.5711, loss_velo: 0.0526, loss_dir: 0.2780, loss_attr: 0.1274, loss: 2.8338, grad_norm: 5.3360
2021-08-18 06:12:35,971 - mmdet - INFO - Epoch [11][1100/2217]	lr: 8.000e-04, eta: 1:54:35, time: 2.076, data_time: 0.056, memory: 20207, loss_cls: 0.2024, loss_offset: 0.5001, loss_depth: 0.4300, loss_size: 0.4433, loss_rotsin: 0.1618, loss_centerness: 0.5697, loss_velo: 0.0536, loss_dir: 0.2637, loss_attr: 0.1132, loss: 2.7378, grad_norm: 5.5405
2021-08-18 06:14:19,275 - mmdet - INFO - Epoch [11][1150/2217]	lr: 8.000e-04, eta: 1:52:52, time: 2.066, data_time: 0.055, memory: 20207, loss_cls: 0.2057, loss_offset: 0.5133, loss_depth: 0.4390, loss_size: 0.4484, loss_rotsin: 0.1731, loss_centerness: 0.5701, loss_velo: 0.0523, loss_dir: 0.2747, loss_attr: 0.1226, loss: 2.7991, grad_norm: 5.3172
2021-08-18 06:16:02,956 - mmdet - INFO - Epoch [11][1200/2217]	lr: 8.000e-04, eta: 1:51:09, time: 2.074, data_time: 0.052, memory: 20207, loss_cls: 0.2065, loss_offset: 0.5182, loss_depth: 0.4400, loss_size: 0.4594, loss_rotsin: 0.1753, loss_centerness: 0.5707, loss_velo: 0.0508, loss_dir: 0.2711, loss_attr: 0.1169, loss: 2.8090, grad_norm: 5.2024
2021-08-18 06:17:46,843 - mmdet - INFO - Epoch [11][1250/2217]	lr: 8.000e-04, eta: 1:49:26, time: 2.078, data_time: 0.061, memory: 20207, loss_cls: 0.2062, loss_offset: 0.5120, loss_depth: 0.4326, loss_size: 0.4580, loss_rotsin: 0.1697, loss_centerness: 0.5705, loss_velo: 0.0528, loss_dir: 0.2757, loss_attr: 0.1213, loss: 2.7987, grad_norm: 5.2688
2021-08-18 06:19:30,431 - mmdet - INFO - Epoch [11][1300/2217]	lr: 8.000e-04, eta: 1:47:43, time: 2.072, data_time: 0.053, memory: 20207, loss_cls: 0.2084, loss_offset: 0.5172, loss_depth: 0.4326, loss_size: 0.4575, loss_rotsin: 0.1706, loss_centerness: 0.5707, loss_velo: 0.0525, loss_dir: 0.2746, loss_attr: 0.1218, loss: 2.8060, grad_norm: 5.2453
2021-08-18 06:21:14,082 - mmdet - INFO - Epoch [11][1350/2217]	lr: 8.000e-04, eta: 1:46:00, time: 2.073, data_time: 0.059, memory: 20207, loss_cls: 0.2052, loss_offset: 0.5089, loss_depth: 0.4217, loss_size: 0.4378, loss_rotsin: 0.1644, loss_centerness: 0.5702, loss_velo: 0.0544, loss_dir: 0.2622, loss_attr: 0.1214, loss: 2.7463, grad_norm: 5.2739
2021-08-18 06:22:57,194 - mmdet - INFO - Epoch [11][1400/2217]	lr: 8.000e-04, eta: 1:44:17, time: 2.062, data_time: 0.054, memory: 20207, loss_cls: 0.2074, loss_offset: 0.5105, loss_depth: 0.4294, loss_size: 0.4648, loss_rotsin: 0.1744, loss_centerness: 0.5698, loss_velo: 0.0516, loss_dir: 0.2728, loss_attr: 0.1233, loss: 2.8038, grad_norm: 5.1013
2021-08-18 06:24:40,755 - mmdet - INFO - Epoch [11][1450/2217]	lr: 8.000e-04, eta: 1:42:34, time: 2.071, data_time: 0.057, memory: 20207, loss_cls: 0.2060, loss_offset: 0.5082, loss_depth: 0.4151, loss_size: 0.4404, loss_rotsin: 0.1679, loss_centerness: 0.5703, loss_velo: 0.0526, loss_dir: 0.2715, loss_attr: 0.1181, loss: 2.7501, grad_norm: 5.2733
2021-08-18 06:26:24,637 - mmdet - INFO - Epoch [11][1500/2217]	lr: 8.000e-04, eta: 1:40:51, time: 2.078, data_time: 0.055, memory: 20207, loss_cls: 0.2079, loss_offset: 0.5160, loss_depth: 0.4398, loss_size: 0.4483, loss_rotsin: 0.1725, loss_centerness: 0.5705, loss_velo: 0.0521, loss_dir: 0.2776, loss_attr: 0.1238, loss: 2.8084, grad_norm: 5.3426
2021-08-18 06:28:08,862 - mmdet - INFO - Epoch [11][1550/2217]	lr: 8.000e-04, eta: 1:39:08, time: 2.084, data_time: 0.059, memory: 20207, loss_cls: 0.2054, loss_offset: 0.5106, loss_depth: 0.4319, loss_size: 0.4532, loss_rotsin: 0.1661, loss_centerness: 0.5703, loss_velo: 0.0516, loss_dir: 0.2692, loss_attr: 0.1174, loss: 2.7757, grad_norm: 5.2208
2021-08-18 06:29:53,182 - mmdet - INFO - Epoch [11][1600/2217]	lr: 8.000e-04, eta: 1:37:25, time: 2.086, data_time: 0.056, memory: 20207, loss_cls: 0.2039, loss_offset: 0.5113, loss_depth: 0.4318, loss_size: 0.4441, loss_rotsin: 0.1703, loss_centerness: 0.5705, loss_velo: 0.0488, loss_dir: 0.2767, loss_attr: 0.1253, loss: 2.7828, grad_norm: 5.3187
2021-08-18 06:31:38,003 - mmdet - INFO - Epoch [11][1650/2217]	lr: 8.000e-04, eta: 1:35:42, time: 2.096, data_time: 0.058, memory: 20207, loss_cls: 0.2078, loss_offset: 0.5087, loss_depth: 0.4255, loss_size: 0.4441, loss_rotsin: 0.1679, loss_centerness: 0.5698, loss_velo: 0.0509, loss_dir: 0.2650, loss_attr: 0.1143, loss: 2.7540, grad_norm: 5.1391
2021-08-18 06:33:22,628 - mmdet - INFO - Epoch [11][1700/2217]	lr: 8.000e-04, eta: 1:33:59, time: 2.092, data_time: 0.059, memory: 20207, loss_cls: 0.2038, loss_offset: 0.5070, loss_depth: 0.4242, loss_size: 0.4414, loss_rotsin: 0.1708, loss_centerness: 0.5702, loss_velo: 0.0552, loss_dir: 0.2665, loss_attr: 0.1201, loss: 2.7593, grad_norm: 5.4086
2021-08-18 06:35:06,883 - mmdet - INFO - Epoch [11][1750/2217]	lr: 8.000e-04, eta: 1:32:16, time: 2.085, data_time: 0.059, memory: 20207, loss_cls: 0.2032, loss_offset: 0.5062, loss_depth: 0.4259, loss_size: 0.4435, loss_rotsin: 0.1720, loss_centerness: 0.5699, loss_velo: 0.0510, loss_dir: 0.2691, loss_attr: 0.1182, loss: 2.7591, grad_norm: 5.3930
2021-08-18 06:36:50,816 - mmdet - INFO - Epoch [11][1800/2217]	lr: 8.000e-04, eta: 1:30:33, time: 2.079, data_time: 0.059, memory: 20207, loss_cls: 0.2044, loss_offset: 0.5110, loss_depth: 0.4244, loss_size: 0.4472, loss_rotsin: 0.1675, loss_centerness: 0.5701, loss_velo: 0.0505, loss_dir: 0.2746, loss_attr: 0.1232, loss: 2.7729, grad_norm: 5.2320
2021-08-18 06:38:34,955 - mmdet - INFO - Epoch [11][1850/2217]	lr: 8.000e-04, eta: 1:28:50, time: 2.083, data_time: 0.059, memory: 20207, loss_cls: 0.2037, loss_offset: 0.5053, loss_depth: 0.4271, loss_size: 0.4425, loss_rotsin: 0.1672, loss_centerness: 0.5701, loss_velo: 0.0553, loss_dir: 0.2716, loss_attr: 0.1173, loss: 2.7602, grad_norm: 5.1691
2021-08-18 06:40:19,058 - mmdet - INFO - Epoch [11][1900/2217]	lr: 8.000e-04, eta: 1:27:07, time: 2.082, data_time: 0.065, memory: 20207, loss_cls: 0.2063, loss_offset: 0.5099, loss_depth: 0.4296, loss_size: 0.4503, loss_rotsin: 0.1697, loss_centerness: 0.5705, loss_velo: 0.0535, loss_dir: 0.2689, loss_attr: 0.1197, loss: 2.7784, grad_norm: 5.2807
2021-08-18 06:42:03,548 - mmdet - INFO - Epoch [11][1950/2217]	lr: 8.000e-04, eta: 1:25:24, time: 2.090, data_time: 0.062, memory: 20207, loss_cls: 0.2058, loss_offset: 0.5123, loss_depth: 0.4257, loss_size: 0.4465, loss_rotsin: 0.1706, loss_centerness: 0.5706, loss_velo: 0.0541, loss_dir: 0.2664, loss_attr: 0.1181, loss: 2.7701, grad_norm: 5.1557
2021-08-18 06:43:47,952 - mmdet - INFO - Epoch [11][2000/2217]	lr: 8.000e-04, eta: 1:23:41, time: 2.088, data_time: 0.064, memory: 20207, loss_cls: 0.2043, loss_offset: 0.5066, loss_depth: 0.4284, loss_size: 0.4489, loss_rotsin: 0.1652, loss_centerness: 0.5700, loss_velo: 0.0510, loss_dir: 0.2701, loss_attr: 0.1151, loss: 2.7597, grad_norm: 5.1109
2021-08-18 06:45:31,729 - mmdet - INFO - Epoch [11][2050/2217]	lr: 8.000e-04, eta: 1:21:58, time: 2.076, data_time: 0.057, memory: 20207, loss_cls: 0.2048, loss_offset: 0.5186, loss_depth: 0.4356, loss_size: 0.4356, loss_rotsin: 0.1686, loss_centerness: 0.5711, loss_velo: 0.0542, loss_dir: 0.2715, loss_attr: 0.1176, loss: 2.7777, grad_norm: 5.4347
2021-08-18 06:47:15,782 - mmdet - INFO - Epoch [11][2100/2217]	lr: 8.000e-04, eta: 1:20:15, time: 2.081, data_time: 0.062, memory: 20207, loss_cls: 0.2063, loss_offset: 0.5138, loss_depth: 0.4286, loss_size: 0.4405, loss_rotsin: 0.1703, loss_centerness: 0.5703, loss_velo: 0.0517, loss_dir: 0.2781, loss_attr: 0.1152, loss: 2.7748, grad_norm: 5.2108
2021-08-18 06:48:59,708 - mmdet - INFO - Epoch [11][2150/2217]	lr: 8.000e-04, eta: 1:18:32, time: 2.078, data_time: 0.060, memory: 20207, loss_cls: 0.2048, loss_offset: 0.5153, loss_depth: 0.4259, loss_size: 0.4502, loss_rotsin: 0.1708, loss_centerness: 0.5704, loss_velo: 0.0516, loss_dir: 0.2741, loss_attr: 0.1188, loss: 2.7819, grad_norm: 5.1456
2021-08-18 06:50:44,333 - mmdet - INFO - Epoch [11][2200/2217]	lr: 8.000e-04, eta: 1:16:49, time: 2.092, data_time: 0.061, memory: 20207, loss_cls: 0.2071, loss_offset: 0.5120, loss_depth: 0.4191, loss_size: 0.4407, loss_rotsin: 0.1693, loss_centerness: 0.5705, loss_velo: 0.0528, loss_dir: 0.2712, loss_attr: 0.1154, loss: 2.7582, grad_norm: 5.2084
2021-08-18 06:51:20,784 - mmdet - INFO - Saving checkpoint at 11 epochs
2021-08-18 06:53:15,166 - mmdet - INFO - Epoch [12][50/2217]	lr: 8.000e-05, eta: 1:14:28, time: 2.264, data_time: 0.257, memory: 20207, loss_cls: 0.2054, loss_offset: 0.5091, loss_depth: 0.4136, loss_size: 0.4291, loss_rotsin: 0.1636, loss_centerness: 0.5704, loss_velo: 0.0544, loss_dir: 0.2597, loss_attr: 0.1154, loss: 2.7207, grad_norm: 4.9111
2021-08-18 06:54:58,547 - mmdet - INFO - Epoch [12][100/2217]	lr: 8.000e-05, eta: 1:12:45, time: 2.068, data_time: 0.059, memory: 20207, loss_cls: 0.2048, loss_offset: 0.5086, loss_depth: 0.4236, loss_size: 0.4444, loss_rotsin: 0.1665, loss_centerness: 0.5699, loss_velo: 0.0543, loss_dir: 0.2593, loss_attr: 0.1055, loss: 2.7367, grad_norm: 4.9129
2021-08-18 06:56:42,413 - mmdet - INFO - Epoch [12][150/2217]	lr: 8.000e-05, eta: 1:11:02, time: 2.077, data_time: 0.062, memory: 20207, loss_cls: 0.2057, loss_offset: 0.5020, loss_depth: 0.4133, loss_size: 0.4366, loss_rotsin: 0.1680, loss_centerness: 0.5700, loss_velo: 0.0523, loss_dir: 0.2561, loss_attr: 0.1093, loss: 2.7133, grad_norm: 4.9101
2021-08-18 06:58:26,137 - mmdet - INFO - Epoch [12][200/2217]	lr: 8.000e-05, eta: 1:09:19, time: 2.074, data_time: 0.061, memory: 20207, loss_cls: 0.2044, loss_offset: 0.5066, loss_depth: 0.4024, loss_size: 0.4382, loss_rotsin: 0.1725, loss_centerness: 0.5696, loss_velo: 0.0542, loss_dir: 0.2666, loss_attr: 0.1096, loss: 2.7242, grad_norm: 5.0280
2021-08-18 07:00:10,303 - mmdet - INFO - Epoch [12][250/2217]	lr: 8.000e-05, eta: 1:07:36, time: 2.083, data_time: 0.068, memory: 20207, loss_cls: 0.2047, loss_offset: 0.5083, loss_depth: 0.4184, loss_size: 0.4428, loss_rotsin: 0.1632, loss_centerness: 0.5704, loss_velo: 0.0491, loss_dir: 0.2563, loss_attr: 0.1108, loss: 2.7239, grad_norm: 4.9158
2021-08-18 07:01:54,547 - mmdet - INFO - Epoch [12][300/2217]	lr: 8.000e-05, eta: 1:05:53, time: 2.085, data_time: 0.062, memory: 20207, loss_cls: 0.2052, loss_offset: 0.5082, loss_depth: 0.4125, loss_size: 0.4319, loss_rotsin: 0.1651, loss_centerness: 0.5700, loss_velo: 0.0538, loss_dir: 0.2642, loss_attr: 0.1144, loss: 2.7253, grad_norm: 4.9859
2021-08-18 07:03:38,610 - mmdet - INFO - Epoch [12][350/2217]	lr: 8.000e-05, eta: 1:04:10, time: 2.081, data_time: 0.064, memory: 20207, loss_cls: 0.2067, loss_offset: 0.5172, loss_depth: 0.4179, loss_size: 0.4420, loss_rotsin: 0.1653, loss_centerness: 0.5704, loss_velo: 0.0539, loss_dir: 0.2654, loss_attr: 0.1088, loss: 2.7477, grad_norm: 5.0218
2021-08-18 07:05:22,743 - mmdet - INFO - Epoch [12][400/2217]	lr: 8.000e-05, eta: 1:02:27, time: 2.083, data_time: 0.068, memory: 20207, loss_cls: 0.2045, loss_offset: 0.5082, loss_depth: 0.4136, loss_size: 0.4250, loss_rotsin: 0.1688, loss_centerness: 0.5699, loss_velo: 0.0513, loss_dir: 0.2639, loss_attr: 0.1050, loss: 2.7103, grad_norm: 4.9128
2021-08-18 07:07:07,731 - mmdet - INFO - Epoch [12][450/2217]	lr: 8.000e-05, eta: 1:00:44, time: 2.100, data_time: 0.068, memory: 20207, loss_cls: 0.2030, loss_offset: 0.5009, loss_depth: 0.4056, loss_size: 0.4318, loss_rotsin: 0.1645, loss_centerness: 0.5699, loss_velo: 0.0528, loss_dir: 0.2619, loss_attr: 0.1090, loss: 2.6995, grad_norm: 5.0017
2021-08-18 07:08:52,596 - mmdet - INFO - Epoch [12][500/2217]	lr: 8.000e-05, eta: 0:59:01, time: 2.097, data_time: 0.065, memory: 20207, loss_cls: 0.2046, loss_offset: 0.5129, loss_depth: 0.4145, loss_size: 0.4337, loss_rotsin: 0.1670, loss_centerness: 0.5704, loss_velo: 0.0533, loss_dir: 0.2681, loss_attr: 0.1136, loss: 2.7382, grad_norm: 4.9136
2021-08-18 07:10:37,283 - mmdet - INFO - Epoch [12][550/2217]	lr: 8.000e-05, eta: 0:57:18, time: 2.094, data_time: 0.061, memory: 20207, loss_cls: 0.2036, loss_offset: 0.5005, loss_depth: 0.4054, loss_size: 0.4387, loss_rotsin: 0.1640, loss_centerness: 0.5698, loss_velo: 0.0506, loss_dir: 0.2593, loss_attr: 0.1103, loss: 2.7022, grad_norm: 5.0286
2021-08-18 07:12:21,594 - mmdet - INFO - Epoch [12][600/2217]	lr: 8.000e-05, eta: 0:55:35, time: 2.086, data_time: 0.060, memory: 20207, loss_cls: 0.2002, loss_offset: 0.4967, loss_depth: 0.4076, loss_size: 0.4309, loss_rotsin: 0.1616, loss_centerness: 0.5697, loss_velo: 0.0527, loss_dir: 0.2520, loss_attr: 0.1129, loss: 2.6845, grad_norm: 4.7522
2021-08-18 07:14:06,031 - mmdet - INFO - Epoch [12][650/2217]	lr: 8.000e-05, eta: 0:53:52, time: 2.089, data_time: 0.068, memory: 20207, loss_cls: 0.2030, loss_offset: 0.5059, loss_depth: 0.4030, loss_size: 0.4280, loss_rotsin: 0.1635, loss_centerness: 0.5704, loss_velo: 0.0511, loss_dir: 0.2632, loss_attr: 0.1038, loss: 2.6918, grad_norm: 4.8413
2021-08-18 07:15:50,371 - mmdet - INFO - Epoch [12][700/2217]	lr: 8.000e-05, eta: 0:52:09, time: 2.087, data_time: 0.063, memory: 20207, loss_cls: 0.2022, loss_offset: 0.5016, loss_depth: 0.4079, loss_size: 0.4339, loss_rotsin: 0.1635, loss_centerness: 0.5697, loss_velo: 0.0514, loss_dir: 0.2502, loss_attr: 0.1060, loss: 2.6865, grad_norm: 4.8655
2021-08-18 07:17:33,782 - mmdet - INFO - Epoch [12][750/2217]	lr: 8.000e-05, eta: 0:50:26, time: 2.068, data_time: 0.059, memory: 20207, loss_cls: 0.2070, loss_offset: 0.5098, loss_depth: 0.4168, loss_size: 0.4440, loss_rotsin: 0.1687, loss_centerness: 0.5704, loss_velo: 0.0552, loss_dir: 0.2599, loss_attr: 0.1091, loss: 2.7409, grad_norm: 5.0712
2021-08-18 07:19:17,458 - mmdet - INFO - Epoch [12][800/2217]	lr: 8.000e-05, eta: 0:48:42, time: 2.073, data_time: 0.063, memory: 20207, loss_cls: 0.2054, loss_offset: 0.5078, loss_depth: 0.4059, loss_size: 0.4352, loss_rotsin: 0.1661, loss_centerness: 0.5704, loss_velo: 0.0511, loss_dir: 0.2626, loss_attr: 0.1118, loss: 2.7163, grad_norm: 4.9175
2021-08-18 07:21:01,945 - mmdet - INFO - Epoch [12][850/2217]	lr: 8.000e-05, eta: 0:46:59, time: 2.090, data_time: 0.065, memory: 20207, loss_cls: 0.2031, loss_offset: 0.5185, loss_depth: 0.4143, loss_size: 0.4280, loss_rotsin: 0.1679, loss_centerness: 0.5713, loss_velo: 0.0523, loss_dir: 0.2690, loss_attr: 0.1161, loss: 2.7403, grad_norm: 4.7579
2021-08-18 07:22:46,501 - mmdet - INFO - Epoch [12][900/2217]	lr: 8.000e-05, eta: 0:45:16, time: 2.091, data_time: 0.059, memory: 20207, loss_cls: 0.2051, loss_offset: 0.5078, loss_depth: 0.4169, loss_size: 0.4374, loss_rotsin: 0.1665, loss_centerness: 0.5703, loss_velo: 0.0510, loss_dir: 0.2610, loss_attr: 0.1087, loss: 2.7247, grad_norm: 4.9531
2021-08-18 07:24:31,390 - mmdet - INFO - Epoch [12][950/2217]	lr: 8.000e-05, eta: 0:43:33, time: 2.098, data_time: 0.058, memory: 20207, loss_cls: 0.2044, loss_offset: 0.5133, loss_depth: 0.4123, loss_size: 0.4310, loss_rotsin: 0.1673, loss_centerness: 0.5708, loss_velo: 0.0514, loss_dir: 0.2623, loss_attr: 0.1079, loss: 2.7207, grad_norm: 4.8454
2021-08-18 07:26:16,338 - mmdet - INFO - Epoch [12][1000/2217]	lr: 8.000e-05, eta: 0:41:50, time: 2.099, data_time: 0.061, memory: 20207, loss_cls: 0.2033, loss_offset: 0.5040, loss_depth: 0.4127, loss_size: 0.4402, loss_rotsin: 0.1648, loss_centerness: 0.5700, loss_velo: 0.0535, loss_dir: 0.2588, loss_attr: 0.1070, loss: 2.7141, grad_norm: 4.9043
2021-08-18 07:28:01,253 - mmdet - INFO - Epoch [12][1050/2217]	lr: 8.000e-05, eta: 0:40:07, time: 2.098, data_time: 0.068, memory: 20207, loss_cls: 0.2039, loss_offset: 0.5054, loss_depth: 0.4138, loss_size: 0.4340, loss_rotsin: 0.1652, loss_centerness: 0.5704, loss_velo: 0.0513, loss_dir: 0.2592, loss_attr: 0.1060, loss: 2.7091, grad_norm: 4.9318
2021-08-18 07:29:45,479 - mmdet - INFO - Epoch [12][1100/2217]	lr: 8.000e-05, eta: 0:38:24, time: 2.085, data_time: 0.060, memory: 20207, loss_cls: 0.2032, loss_offset: 0.5116, loss_depth: 0.4089, loss_size: 0.4218, loss_rotsin: 0.1640, loss_centerness: 0.5708, loss_velo: 0.0550, loss_dir: 0.2613, loss_attr: 0.1091, loss: 2.7056, grad_norm: 4.8697
2021-08-18 07:31:29,565 - mmdet - INFO - Epoch [12][1150/2217]	lr: 8.000e-05, eta: 0:36:41, time: 2.082, data_time: 0.060, memory: 20207, loss_cls: 0.2038, loss_offset: 0.5043, loss_depth: 0.4077, loss_size: 0.4362, loss_rotsin: 0.1645, loss_centerness: 0.5698, loss_velo: 0.0542, loss_dir: 0.2573, loss_attr: 0.1105, loss: 2.7083, grad_norm: 4.9350
2021-08-18 07:33:13,431 - mmdet - INFO - Epoch [12][1200/2217]	lr: 8.000e-05, eta: 0:34:58, time: 2.077, data_time: 0.060, memory: 20207, loss_cls: 0.2021, loss_offset: 0.5093, loss_depth: 0.4151, loss_size: 0.4404, loss_rotsin: 0.1691, loss_centerness: 0.5702, loss_velo: 0.0524, loss_dir: 0.2672, loss_attr: 0.1211, loss: 2.7468, grad_norm: 5.1129
2021-08-18 07:34:57,393 - mmdet - INFO - Epoch [12][1250/2217]	lr: 8.000e-05, eta: 0:33:15, time: 2.079, data_time: 0.061, memory: 20207, loss_cls: 0.2042, loss_offset: 0.5028, loss_depth: 0.4160, loss_size: 0.4526, loss_rotsin: 0.1616, loss_centerness: 0.5698, loss_velo: 0.0519, loss_dir: 0.2578, loss_attr: 0.1086, loss: 2.7252, grad_norm: 5.0706
2021-08-18 07:36:41,110 - mmdet - INFO - Epoch [12][1300/2217]	lr: 8.000e-05, eta: 0:31:31, time: 2.074, data_time: 0.062, memory: 20207, loss_cls: 0.2034, loss_offset: 0.5014, loss_depth: 0.4017, loss_size: 0.4300, loss_rotsin: 0.1635, loss_centerness: 0.5697, loss_velo: 0.0522, loss_dir: 0.2648, loss_attr: 0.1053, loss: 2.6920, grad_norm: 5.0622
2021-08-18 07:38:24,269 - mmdet - INFO - Epoch [12][1350/2217]	lr: 8.000e-05, eta: 0:29:48, time: 2.063, data_time: 0.057, memory: 20207, loss_cls: 0.2019, loss_offset: 0.5015, loss_depth: 0.4099, loss_size: 0.4257, loss_rotsin: 0.1607, loss_centerness: 0.5700, loss_velo: 0.0528, loss_dir: 0.2533, loss_attr: 0.1089, loss: 2.6845, grad_norm: 4.8941
2021-08-18 07:40:07,618 - mmdet - INFO - Epoch [12][1400/2217]	lr: 8.000e-05, eta: 0:28:05, time: 2.067, data_time: 0.058, memory: 20207, loss_cls: 0.2058, loss_offset: 0.5105, loss_depth: 0.4141, loss_size: 0.4411, loss_rotsin: 0.1647, loss_centerness: 0.5704, loss_velo: 0.0523, loss_dir: 0.2557, loss_attr: 0.1042, loss: 2.7190, grad_norm: 4.8450
2021-08-18 07:41:51,189 - mmdet - INFO - Epoch [12][1450/2217]	lr: 8.000e-05, eta: 0:26:22, time: 2.071, data_time: 0.063, memory: 20207, loss_cls: 0.2053, loss_offset: 0.5058, loss_depth: 0.4159, loss_size: 0.4526, loss_rotsin: 0.1669, loss_centerness: 0.5701, loss_velo: 0.0523, loss_dir: 0.2565, loss_attr: 0.1089, loss: 2.7342, grad_norm: 5.1108
2021-08-18 07:43:34,698 - mmdet - INFO - Epoch [12][1500/2217]	lr: 8.000e-05, eta: 0:24:39, time: 2.070, data_time: 0.060, memory: 20207, loss_cls: 0.2019, loss_offset: 0.5038, loss_depth: 0.4094, loss_size: 0.4332, loss_rotsin: 0.1685, loss_centerness: 0.5700, loss_velo: 0.0525, loss_dir: 0.2588, loss_attr: 0.1103, loss: 2.7084, grad_norm: 4.8970
2021-08-18 07:45:18,491 - mmdet - INFO - Epoch [12][1550/2217]	lr: 8.000e-05, eta: 0:22:56, time: 2.076, data_time: 0.062, memory: 20207, loss_cls: 0.2028, loss_offset: 0.5033, loss_depth: 0.4151, loss_size: 0.4296, loss_rotsin: 0.1643, loss_centerness: 0.5700, loss_velo: 0.0496, loss_dir: 0.2656, loss_attr: 0.1086, loss: 2.7089, grad_norm: 4.9868
2021-08-18 07:47:02,326 - mmdet - INFO - Epoch [12][1600/2217]	lr: 8.000e-05, eta: 0:21:13, time: 2.077, data_time: 0.066, memory: 20207, loss_cls: 0.2034, loss_offset: 0.4949, loss_depth: 0.4054, loss_size: 0.4300, loss_rotsin: 0.1651, loss_centerness: 0.5700, loss_velo: 0.0554, loss_dir: 0.2583, loss_attr: 0.1067, loss: 2.6891, grad_norm: 5.0472
2021-08-18 07:48:45,750 - mmdet - INFO - Epoch [12][1650/2217]	lr: 8.000e-05, eta: 0:19:29, time: 2.068, data_time: 0.065, memory: 20207, loss_cls: 0.2028, loss_offset: 0.5010, loss_depth: 0.4129, loss_size: 0.4310, loss_rotsin: 0.1648, loss_centerness: 0.5698, loss_velo: 0.0515, loss_dir: 0.2588, loss_attr: 0.1065, loss: 2.6991, grad_norm: 4.9930
2021-08-18 07:50:29,227 - mmdet - INFO - Epoch [12][1700/2217]	lr: 8.000e-05, eta: 0:17:46, time: 2.070, data_time: 0.064, memory: 20207, loss_cls: 0.2035, loss_offset: 0.4967, loss_depth: 0.4116, loss_size: 0.4418, loss_rotsin: 0.1621, loss_centerness: 0.5694, loss_velo: 0.0517, loss_dir: 0.2597, loss_attr: 0.1069, loss: 2.7036, grad_norm: 5.0842
2021-08-18 07:52:12,684 - mmdet - INFO - Epoch [12][1750/2217]	lr: 8.000e-05, eta: 0:16:03, time: 2.069, data_time: 0.064, memory: 20207, loss_cls: 0.2025, loss_offset: 0.5032, loss_depth: 0.4146, loss_size: 0.4364, loss_rotsin: 0.1657, loss_centerness: 0.5701, loss_velo: 0.0514, loss_dir: 0.2626, loss_attr: 0.1093, loss: 2.7158, grad_norm: 4.9548
2021-08-18 07:53:56,583 - mmdet - INFO - Epoch [12][1800/2217]	lr: 8.000e-05, eta: 0:14:20, time: 2.078, data_time: 0.062, memory: 20207, loss_cls: 0.2078, loss_offset: 0.5109, loss_depth: 0.4229, loss_size: 0.4443, loss_rotsin: 0.1694, loss_centerness: 0.5705, loss_velo: 0.0519, loss_dir: 0.2582, loss_attr: 0.1148, loss: 2.7507, grad_norm: 5.0442
2021-08-18 07:55:40,440 - mmdet - INFO - Epoch [12][1850/2217]	lr: 8.000e-05, eta: 0:12:37, time: 2.077, data_time: 0.066, memory: 20207, loss_cls: 0.2040, loss_offset: 0.5024, loss_depth: 0.4122, loss_size: 0.4376, loss_rotsin: 0.1651, loss_centerness: 0.5699, loss_velo: 0.0512, loss_dir: 0.2596, loss_attr: 0.1091, loss: 2.7112, grad_norm: 5.1178
2021-08-18 07:57:24,354 - mmdet - INFO - Epoch [12][1900/2217]	lr: 8.000e-05, eta: 0:10:54, time: 2.078, data_time: 0.059, memory: 20207, loss_cls: 0.2033, loss_offset: 0.5061, loss_depth: 0.4099, loss_size: 0.4394, loss_rotsin: 0.1685, loss_centerness: 0.5698, loss_velo: 0.0519, loss_dir: 0.2581, loss_attr: 0.1087, loss: 2.7156, grad_norm: 4.9175
2021-08-18 07:59:07,721 - mmdet - INFO - Epoch [12][1950/2217]	lr: 8.000e-05, eta: 0:09:10, time: 2.067, data_time: 0.060, memory: 20207, loss_cls: 0.2030, loss_offset: 0.5032, loss_depth: 0.4080, loss_size: 0.4326, loss_rotsin: 0.1628, loss_centerness: 0.5698, loss_velo: 0.0532, loss_dir: 0.2632, loss_attr: 0.1080, loss: 2.7037, grad_norm: 4.9562
2021-08-18 08:00:51,342 - mmdet - INFO - Epoch [12][2000/2217]	lr: 8.000e-05, eta: 0:07:27, time: 2.072, data_time: 0.060, memory: 20207, loss_cls: 0.2051, loss_offset: 0.5034, loss_depth: 0.4216, loss_size: 0.4330, loss_rotsin: 0.1669, loss_centerness: 0.5703, loss_velo: 0.0525, loss_dir: 0.2610, loss_attr: 0.1063, loss: 2.7202, grad_norm: 4.9944
2021-08-18 08:02:35,360 - mmdet - INFO - Epoch [12][2050/2217]	lr: 8.000e-05, eta: 0:05:44, time: 2.080, data_time: 0.066, memory: 20207, loss_cls: 0.2035, loss_offset: 0.5013, loss_depth: 0.4092, loss_size: 0.4378, loss_rotsin: 0.1662, loss_centerness: 0.5700, loss_velo: 0.0515, loss_dir: 0.2643, loss_attr: 0.1084, loss: 2.7122, grad_norm: 4.9576
2021-08-18 08:04:19,465 - mmdet - INFO - Epoch [12][2100/2217]	lr: 8.000e-05, eta: 0:04:01, time: 2.082, data_time: 0.059, memory: 20207, loss_cls: 0.2020, loss_offset: 0.5005, loss_depth: 0.4043, loss_size: 0.4306, loss_rotsin: 0.1646, loss_centerness: 0.5697, loss_velo: 0.0512, loss_dir: 0.2637, loss_attr: 0.1026, loss: 2.6892, grad_norm: 4.9464
2021-08-18 08:06:04,121 - mmdet - INFO - Epoch [12][2150/2217]	lr: 8.000e-05, eta: 0:02:18, time: 2.093, data_time: 0.062, memory: 20207, loss_cls: 0.2042, loss_offset: 0.5063, loss_depth: 0.4111, loss_size: 0.4365, loss_rotsin: 0.1645, loss_centerness: 0.5700, loss_velo: 0.0526, loss_dir: 0.2542, loss_attr: 0.1092, loss: 2.7087, grad_norm: 5.0642
2021-08-18 08:07:48,752 - mmdet - INFO - Epoch [12][2200/2217]	lr: 8.000e-05, eta: 0:00:35, time: 2.093, data_time: 0.061, memory: 20207, loss_cls: 0.2025, loss_offset: 0.5029, loss_depth: 0.4046, loss_size: 0.4415, loss_rotsin: 0.1633, loss_centerness: 0.5695, loss_velo: 0.0516, loss_dir: 0.2557, loss_attr: 0.1077, loss: 2.6993, grad_norm: 5.0121
2021-08-18 08:55:38,815 - mmdet - INFO - Saving checkpoint at 12 epochs
2021-08-18 08:55:39,985 - mmdet - INFO - Exp name: fcos3d_r50.py
2021-08-18 08:55:39,986 - mmdet - INFO - Epoch(val) [12][2217]	img_bbox_NuScenes/car_AP_dist_0.5: 0.0652, img_bbox_NuScenes/car_AP_dist_1.0: 0.2748, img_bbox_NuScenes/car_AP_dist_2.0: 0.5767, img_bbox_NuScenes/car_AP_dist_4.0: 0.7537, img_bbox_NuScenes/car_trans_err: 0.6859, img_bbox_NuScenes/car_scale_err: 0.1554, img_bbox_NuScenes/car_orient_err: 0.1503, img_bbox_NuScenes/car_vel_err: 2.0662, img_bbox_NuScenes/car_attr_err: 0.1391, img_bbox_NuScenes/truck_AP_dist_0.5: 0.0000, img_bbox_NuScenes/truck_AP_dist_1.0: 0.0233, img_bbox_NuScenes/truck_AP_dist_2.0: 0.1576, img_bbox_NuScenes/truck_AP_dist_4.0: 0.3317, img_bbox_NuScenes/truck_trans_err: 0.9494, img_bbox_NuScenes/truck_scale_err: 0.2247, img_bbox_NuScenes/truck_orient_err: 0.2919, img_bbox_NuScenes/truck_vel_err: 1.3696, img_bbox_NuScenes/truck_attr_err: 0.1858, 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: 0.0165, img_bbox_NuScenes/trailer_AP_dist_4.0: 0.1768, img_bbox_NuScenes/trailer_trans_err: 1.2227, img_bbox_NuScenes/trailer_scale_err: 0.2279, img_bbox_NuScenes/trailer_orient_err: 0.9908, img_bbox_NuScenes/trailer_vel_err: 0.5981, img_bbox_NuScenes/trailer_attr_err: 0.0678, img_bbox_NuScenes/bus_AP_dist_0.5: 0.0000, img_bbox_NuScenes/bus_AP_dist_1.0: 0.0152, img_bbox_NuScenes/bus_AP_dist_2.0: 0.2214, img_bbox_NuScenes/bus_AP_dist_4.0: 0.4547, img_bbox_NuScenes/bus_trans_err: 1.0602, img_bbox_NuScenes/bus_scale_err: 0.2169, img_bbox_NuScenes/bus_orient_err: 0.2748, img_bbox_NuScenes/bus_vel_err: 2.5154, img_bbox_NuScenes/bus_attr_err: 0.3237, 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: 0.0084, img_bbox_NuScenes/construction_vehicle_AP_dist_4.0: 0.0673, img_bbox_NuScenes/construction_vehicle_trans_err: 1.0985, img_bbox_NuScenes/construction_vehicle_scale_err: 0.4574, img_bbox_NuScenes/construction_vehicle_orient_err: 1.3289, img_bbox_NuScenes/construction_vehicle_vel_err: 0.1235, img_bbox_NuScenes/construction_vehicle_attr_err: 0.3189, img_bbox_NuScenes/bicycle_AP_dist_0.5: 0.0048, img_bbox_NuScenes/bicycle_AP_dist_1.0: 0.0753, img_bbox_NuScenes/bicycle_AP_dist_2.0: 0.1763, img_bbox_NuScenes/bicycle_AP_dist_4.0: 0.2602, img_bbox_NuScenes/bicycle_trans_err: 0.8029, img_bbox_NuScenes/bicycle_scale_err: 0.3115, img_bbox_NuScenes/bicycle_orient_err: 1.1782, img_bbox_NuScenes/bicycle_vel_err: 0.8855, img_bbox_NuScenes/bicycle_attr_err: 0.0289, img_bbox_NuScenes/motorcycle_AP_dist_0.5: 0.0058, img_bbox_NuScenes/motorcycle_AP_dist_1.0: 0.0914, img_bbox_NuScenes/motorcycle_AP_dist_2.0: 0.2300, img_bbox_NuScenes/motorcycle_AP_dist_4.0: 0.3612, img_bbox_NuScenes/motorcycle_trans_err: 0.8619, img_bbox_NuScenes/motorcycle_scale_err: 0.2766, img_bbox_NuScenes/motorcycle_orient_err: 0.9920, img_bbox_NuScenes/motorcycle_vel_err: 1.7279, img_bbox_NuScenes/motorcycle_attr_err: 0.1324, img_bbox_NuScenes/pedestrian_AP_dist_0.5: 0.0362, img_bbox_NuScenes/pedestrian_AP_dist_1.0: 0.1904, img_bbox_NuScenes/pedestrian_AP_dist_2.0: 0.4097, img_bbox_NuScenes/pedestrian_AP_dist_4.0: 0.5880, img_bbox_NuScenes/pedestrian_trans_err: 0.7531, img_bbox_NuScenes/pedestrian_scale_err: 0.2917, img_bbox_NuScenes/pedestrian_orient_err: 1.1482, img_bbox_NuScenes/pedestrian_vel_err: 0.9246, img_bbox_NuScenes/pedestrian_attr_err: 0.1934, img_bbox_NuScenes/traffic_cone_AP_dist_0.5: 0.1600, img_bbox_NuScenes/traffic_cone_AP_dist_1.0: 0.4095, img_bbox_NuScenes/traffic_cone_AP_dist_2.0: 0.6049, img_bbox_NuScenes/traffic_cone_AP_dist_4.0: 0.7096, img_bbox_NuScenes/traffic_cone_trans_err: 0.5824, img_bbox_NuScenes/traffic_cone_scale_err: 0.3171, 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: 0.0845, img_bbox_NuScenes/barrier_AP_dist_1.0: 0.3233, img_bbox_NuScenes/barrier_AP_dist_2.0: 0.5235, img_bbox_NuScenes/barrier_AP_dist_4.0: 0.6060, img_bbox_NuScenes/barrier_trans_err: 0.6555, img_bbox_NuScenes/barrier_scale_err: 0.2821, img_bbox_NuScenes/barrier_orient_err: 0.2005, img_bbox_NuScenes/barrier_vel_err: nan, img_bbox_NuScenes/barrier_attr_err: nan, img_bbox_NuScenes/NDS: 0.3079, img_bbox_NuScenes/mAP: 0.2248