tonysy/c2d.ava.8x8.res50.short_train_log.txt

## c2d.ava.8x8.res50.short_train_log.txt
[03/28 16:26:57] pyaction INFO: Running with full config:
{'AVA': {'ANNOTATION_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/annotations/',
         'BGR': False,
         'DETECTION_SCORE_THRESH': 0.9,
         'EXCLUSION_FILE': 'ava_val_excluded_timestamps_v2.2.csv',
         'FRAME_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/frames',
         'FRAME_LIST_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists',
         'FULL_TEST_ON_VAL': False,
         'GROUNDTRUTH_FILE': 'ava_val_v2.2.csv',
         'IMG_PROC_BACKEND': 'cv2',
         'LABEL_MAP_FILE': 'ava_action_list_v2.2_for_activitynet_2019.pbtxt',
         'TEST_FORCE_FLIP': False,
         'TEST_LISTS': ['val.csv'],
         'TEST_PREDICT_BOX_LISTS': ['person_box_67091280_iou90/ava_detection_val_boxes_and_labels.csv'],
         'TRAIN_GT_BOX_LISTS': ['ava_train_v2.2.csv'],
         'TRAIN_LISTS': ['train.csv'],
         'TRAIN_PCA_EIGVAL': [0.225, 0.224, 0.229],
         'TRAIN_PCA_EIGVEC': [[-0.5675, 0.7192, 0.4009],
                              [-0.5808, -0.0045, -0.814],
                              [-0.5836, -0.6948, 0.4203]],
         'TRAIN_PCA_JITTER_ONLY': True,
         'TRAIN_PREDICT_BOX_LISTS': ['ava_train_v2.2.csv',
                                     'person_box_67091280_iou90/ava_detection_train_boxes_and_labels_include_negative_v2.2.csv'],
         'TRAIN_USE_COLOR_AUGMENTATION': False},
 'BN': {'EPSILON': 1e-05,
        'MOMENTUM': 0.1,
        'NUM_BATCHES_PRECISE': 200,
        'USE_PRECISE_STATS': False,
        'WEIGHT_DECAY': 0.0},
 'DATA': {'CROP_SIZE': 224,
          'INPUT_CHANNEL_NUM': [3],
          'MEAN': [0.45, 0.45, 0.45],
          'NUM_FRAMES': 4,
          'PATH_PREFIX': '',
          'PATH_TO_DATA_DIR': '/public/sist/home/hexm/Projects/pyaction/data/kinetics',
          'SAMPLING_RATE': 16,
          'STD': [0.225, 0.225, 0.225],
          'TEST_CROP_SIZE': 256,
          'TRAIN_CROP_SIZE': 224,
          'TRAIN_JITTER_SCALES': [256, 320]},
 'DATA_LOADER': {'ENABLE_MULTI_THREAD_DECODE': False,
                 'NUM_WORKERS': 4,
                 'PIN_MEMORY': True},
 'DETECTION': {'ALIGNED': True,
               'ENABLE': True,
               'ROI_XFORM_RESOLUTION': 7,
               'SPATIAL_SCALE_FACTOR': 16},
 'DIST_BACKEND': 'nccl',
 'LOG_PERIOD': 10,
 'MODEL': {'ARCH': 'slowonly',
           'DROPOUT_RATE': 0.5,
           'FC_INIT_STD': 0.01,
           'LOSS_FUNC': 'bce',
           'MULTI_PATHWAY_ARCH': ['slowfast'],
           'NUM_CLASSES': 80,
           'SINGLE_PATHWAY_ARCH': ['c2d', 'i3d', 'slowonly']},
 'NONLOCAL': {'GROUP': [[1], [1], [1], [1]],
              'INSTANTIATION': 'dot_product',
              'LOCATION': [[[]], [[]], [[]], [[]]],
              'POOL': [[[1, 2, 2], [1, 2, 2]],
                       [[1, 2, 2], [1, 2, 2]],
                       [[1, 2, 2], [1, 2, 2]],
                       [[1, 2, 2], [1, 2, 2]]]},
 'NUM_GPUS': 4,
 'NUM_SHARDS': 1,
 'OUTPUT_DIR': '/public/sist/home/hexm/Models/pyaction/model_logs/ava/c2d.ava.8x8.res50.short',
 'RESNET': {'DEPTH': 50,
            'INPLACE_RELU': True,
            'NUM_BLOCK_TEMP_KERNEL': [[3], [4], [6], [3]],
            'NUM_GROUPS': 1,
            'SPATIAL_DILATIONS': [[1], [1], [1], [2]],
            'SPATIAL_STRIDES': [[1], [2], [2], [1]],
            'STRIDE_1X1': False,
            'TRANS_FUNC': 'bottleneck_transform',
            'WIDTH_PER_GROUP': 64,
            'ZERO_INIT_FINAL_BN': True},
 'RNG_SEED': 0,
 'SHARD_ID': 0,
 'SOLVER': {'BASE_LR': 0.1,
            'DAMPENING': 0.0,
            'GAMMA': 0.1,
            'LRS': [1, 0.1, 0.01, 0.001],
            'LR_POLICY': 'steps_with_relative_lrs',
            'MAX_EPOCH': 20,
            'MOMENTUM': 0.9,
            'NESTEROV': True,
            'OPTIMIZING_METHOD': 'sgd',
            'STEPS': [0, 10, 15, 20],
            'STEP_SIZE': 1,
            'WARMUP_EPOCHS': 5,
            'WARMUP_FACTOR': 0.1,
            'WARMUP_START_LR': 0.000125,
            'WEIGHT_DECAY': 1e-07},
 'TEST': {'BATCH_SIZE': 4,
          'CHECKPOINT_FILE_PATH': '',
          'CHECKPOINT_TYPE': 'pytorch',
          'DATASET': 'ava',
          'ENABLE': True,
          'NUM_ENSEMBLE_VIEWS': 10,
          'NUM_SPATIAL_CROPS': 3},
 'TRAIN': {'AUTO_RESUME': True,
           'BATCH_SIZE': 64,
           'CHECKPOINT_FILE_PATH': '/public/sist/home/hexm/Projects/pyaction/model_zoo/ava/pretrain/C2D_8x8_R50.pkl',
           'CHECKPOINT_INFLATE': False,
           'CHECKPOINT_PERIOD': 1,
           'CHECKPOINT_TYPE': 'caffe2',
           'DATASET': 'ava',
           'ENABLE': True,
           'EVAL_PERIOD': 5}}
[03/28 16:26:57] pyaction INFO: different config with base class:
{'AVA': {'ANNOTATION_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/annotations/',
         'BGR': False,
         'DETECTION_SCORE_THRESH': 0.9,
         'EXCLUSION_FILE': 'ava_val_excluded_timestamps_v2.2.csv',
         'FRAME_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/frames',
         'FRAME_LIST_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists',
         'FULL_TEST_ON_VAL': False,
         'GROUNDTRUTH_FILE': 'ava_val_v2.2.csv',
         'IMG_PROC_BACKEND': 'cv2',
         'LABEL_MAP_FILE': 'ava_action_list_v2.2_for_activitynet_2019.pbtxt',
         'TEST_FORCE_FLIP': False,
         'TEST_LISTS': ['val.csv'],
         'TEST_PREDICT_BOX_LISTS': ['person_box_67091280_iou90/ava_detection_val_boxes_and_labels.csv'],
         'TRAIN_GT_BOX_LISTS': ['ava_train_v2.2.csv'],
         'TRAIN_LISTS': ['train.csv'],
         'TRAIN_PCA_EIGVAL': [0.225, 0.224, 0.229],
         'TRAIN_PCA_EIGVEC': [[-0.5675, 0.7192, 0.4009],
                              [-0.5808, -0.0045, -0.814],
                              [-0.5836, -0.6948, 0.4203]],
         'TRAIN_PCA_JITTER_ONLY': True,
         'TRAIN_PREDICT_BOX_LISTS': ['ava_train_v2.2.csv',
                                     'person_box_67091280_iou90/ava_detection_train_boxes_and_labels_include_negative_v2.2.csv'],
         'TRAIN_USE_COLOR_AUGMENTATION': False},
 'DATA': {'INPUT_CHANNEL_NUM': [3],
          'NUM_FRAMES': 4,
          'PATH_TO_DATA_DIR': '/public/sist/home/hexm/Projects/pyaction/data/kinetics',
          'SAMPLING_RATE': 16},
 'DATA_LOADER': {'NUM_WORKERS': 4},
 'DETECTION': {'ALIGNED': True,
               'ENABLE': True,
               'ROI_XFORM_RESOLUTION': 7,
               'SPATIAL_SCALE_FACTOR': 16},
 'MODEL': {'ARCH': 'slowonly', 'LOSS_FUNC': 'bce', 'NUM_CLASSES': 80},
 'NUM_GPUS': 4,
 'OUTPUT_DIR': '/public/sist/home/hexm/Models/pyaction/model_logs/ava/c2d.ava.8x8.res50.short',
 'RESNET': {'SPATIAL_DILATIONS': [[1], [1], [1], [2]],
            'SPATIAL_STRIDES': [[1], [2], [2], [1]],
            'ZERO_INIT_FINAL_BN': True},
 'RNG_SEED': 0,
 'SOLVER': {'LRS': [1, 0.1, 0.01, 0.001],
            'LR_POLICY': 'steps_with_relative_lrs',
            'MAX_EPOCH': 20,
            'STEPS': [0, 10, 15, 20],
            'WARMUP_EPOCHS': 5,
            'WARMUP_START_LR': 0.000125,
            'WEIGHT_DECAY': 1e-07},
 'TEST': {'BATCH_SIZE': 4, 'DATASET': 'ava'},
 'TRAIN': {'CHECKPOINT_FILE_PATH': '/public/sist/home/hexm/Projects/pyaction/model_zoo/ava/pretrain/C2D_8x8_R50.pkl',
           'CHECKPOINT_TYPE': 'caffe2',
           'DATASET': 'ava',
           'EVAL_PERIOD': 5}}
[03/28 16:27:32] pa.utils.misc INFO: Model:
ResNetModel(
  (s1): VideoModelStem(
    (pathway0_stem): ResNetBasicStem(
      (conv): Conv3d(3, 64, kernel_size=[1, 7, 7], stride=[1, 2, 2], padding=[0, 3, 3], bias=False)
      (bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (pool_layer): MaxPool3d(kernel_size=[1, 3, 3], stride=[1, 2, 2], padding=[0, 1, 1], dilation=1, ceil_mode=False)
    )
  )
  (s2): ResStage(
    (pathway0_res0): ResBlock(
      (branch1): Conv3d(64, 256, kernel_size=(1, 1, 1), stride=[1, 1, 1], bias=False)
      (branch1_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (branch2): BottleneckTransform(
        (a): Conv3d(64, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(64, 64, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(64, 256, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res1): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(256, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(64, 64, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(64, 256, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res2): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(256, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(64, 64, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(64, 256, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
  )
  (pathway0_pool): MaxPool3d(kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], dilation=1, ceil_mode=False)
  (s3): ResStage(
    (pathway0_res0): ResBlock(
      (branch1): Conv3d(256, 512, kernel_size=(1, 1, 1), stride=[1, 2, 2], bias=False)
      (branch1_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (branch2): BottleneckTransform(
        (a): Conv3d(256, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(128, 128, kernel_size=[1, 3, 3], stride=[1, 2, 2], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(128, 512, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res1): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(512, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(128, 128, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(128, 512, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res2): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(512, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(128, 128, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(128, 512, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res3): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(512, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (a_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(128, 128, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(128, 512, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
  )
  (s4): ResStage(
    (pathway0_res0): ResBlock(
      (branch1): Conv3d(512, 1024, kernel_size=(1, 1, 1), stride=[1, 2, 2], bias=False)
      (branch1_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (branch2): BottleneckTransform(
        (a): Conv3d(512, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 2, 2], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res1): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res2): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res3): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res4): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res5): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 256, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(256, 256, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
        (b_bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(256, 1024, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
  )
  (s5): ResStage(
    (pathway0_res0): ResBlock(
      (branch1): Conv3d(1024, 2048, kernel_size=(1, 1, 1), stride=[1, 1, 1], bias=False)
      (branch1_bn): BatchNorm3d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (branch2): BottleneckTransform(
        (a): Conv3d(1024, 512, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(512, 512, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 2, 2], dilation=[1, 2, 2], bias=False)
        (b_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(512, 2048, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res1): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(2048, 512, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(512, 512, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 2, 2], dilation=[1, 2, 2], bias=False)
        (b_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(512, 2048, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
    (pathway0_res2): ResBlock(
      (branch2): BottleneckTransform(
        (a): Conv3d(2048, 512, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
        (a_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (a_relu): ReLU(inplace=True)
        (b): Conv3d(512, 512, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 2, 2], dilation=[1, 2, 2], bias=False)
        (b_bn): BatchNorm3d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
        (b_relu): ReLU(inplace=True)
        (c): Conv3d(512, 2048, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
        (c_bn): BatchNorm3d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
      (relu): ReLU(inplace=True)
    )
  )
  (head): ResNetRoIHead(
    (s0_tpool): AvgPool3d(kernel_size=[4, 1, 1], stride=1, padding=0)
    (s0_roi): ROIAlign(output_size=[7, 7], spatial_scale=0.0625, sampling_ratio=0, aligned=True)
    (s0_spool): MaxPool2d(kernel_size=[7, 7], stride=1, padding=0, dilation=1, ceil_mode=False)
    (dropout): Dropout(p=0.5, inplace=False)
    (projection): Linear(in_features=2048, out_features=80, bias=True)
    (act): Sigmoid()
  )
)
[03/28 16:27:32] pa.utils.misc INFO: Params: 31,798,416
[03/28 16:27:32] pa.utils.misc INFO: Mem: 244.31103515625 MB
[03/28 16:27:32] pa.utils.misc INFO: FLOPs: 31.814156288 GFLOPs
[03/28 16:27:32] pa.utils.misc INFO: nvidia-smi
[03/28 16:27:32] pyaction INFO: Load from given checkpoint file.
[03/28 16:27:32] pa.utils.checkpoint INFO: res_conv1_bn_b: (64,) => s1.pathway0_stem.bn.bias: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res_conv1_bn_s: (64,) => s1.pathway0_stem.bn.weight: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_2_branch2a_bn_rm: (512,) => s5.pathway0_res2.branch2.a_bn.running_mean: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res4.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2c_bn_rm: (2048,) => s5.pathway0_res1.branch2.c_bn.running_mean: (2048,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_1_branch2c_bn_s: (512,) => s3.pathway0_res1.branch2.c_bn.weight: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res1.branch2.b.weight: (512, 512, 1, 3, 3)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_0_branch2a_bn_riv: (128,) => s3.pathway0_res0.branch2.a_bn.running_var: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2b_bn_rm: (64,) => s2.pathway0_res2.branch2.b_bn.running_mean: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_0_branch2c_bn_riv: (2048,) => s5.pathway0_res0.branch2.c_bn.running_var: (2048,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res2.branch2.a.weight: (128, 512, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2c_bn_rm: (1024,) => s4.pathway0_res5.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res2.branch2.c.weight: (512, 128, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_0_branch2c_bn_rm: (1024,) => s4.pathway0_res0.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2a_bn_riv: (64,) => s2.pathway0_res2.branch2.a_bn.running_var: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res5.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2a_bn_b: (64,) => s2.pathway0_res2.branch2.a_bn.bias: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2a_bn_s: (64,) => s2.pathway0_res2.branch2.a_bn.weight: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2a_bn_rm: (128,) => s3.pathway0_res2.branch2.a_bn.running_mean: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_0_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res0.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2a_bn_b: (128,) => s3.pathway0_res2.branch2.a_bn.bias: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_1_branch2b_bn_riv: (256,) => s4.pathway0_res1.branch2.b_bn.running_var: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2b_bn_b: (256,) => s4.pathway0_res4.branch2.b_bn.bias: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_1_branch2c_bn_b: (512,) => s3.pathway0_res1.branch2.c_bn.bias: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_0_branch2c_bn_riv: (1024,) => s4.pathway0_res0.branch2.c_bn.running_var: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_3_branch2b_bn_riv: (128,) => s3.pathway0_res3.branch2.b_bn.running_var: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2a_bn_riv: (512,) => s5.pathway0_res1.branch2.a_bn.running_var: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2b_bn_s: (256,) => s4.pathway0_res4.branch2.b_bn.weight: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_0_branch1_bn_rm: (2048,) => s5.pathway0_res0.branch1_bn.running_mean: (2048,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_0_branch2a_bn_rm: (64,) => s2.pathway0_res0.branch2.a_bn.running_mean: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2a_bn_rm: (256,) => s4.pathway0_res4.branch2.a_bn.running_mean: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_0_branch2a_bn_rm: (256,) => s4.pathway0_res0.branch2.a_bn.running_mean: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_0_branch1_w: (512, 256, 1, 1, 1) => s3.pathway0_res0.branch1.weight: (512, 256, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2c_bn_riv: (1024,) => s4.pathway0_res5.branch2.c_bn.running_var: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_1_branch2a_bn_rm: (64,) => s2.pathway0_res1.branch2.a_bn.running_mean: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_3_branch2a_bn_rm: (128,) => s3.pathway0_res3.branch2.a_bn.running_mean: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_1_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res1.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_0_branch1_bn_rm: (512,) => s3.pathway0_res0.branch1_bn.running_mean: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_1_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res1.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res5.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_3_branch2c_bn_b: (512,) => s3.pathway0_res3.branch2.c_bn.bias: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_3_branch2c_bn_s: (512,) => s3.pathway0_res3.branch2.c_bn.weight: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2a_w: (512, 2048, 3, 1, 1) => s5.pathway0_res1.branch2.a.weight: (512, 2048, 3, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_0_branch2a_bn_riv: (512,) => s5.pathway0_res0.branch2.a_bn.running_var: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_1_branch2c_bn_riv: (256,) => s2.pathway0_res1.branch2.c_bn.running_var: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2b_bn_b: (256,) => s4.pathway0_res5.branch2.b_bn.bias: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_5_branch2b_bn_s: (256,) => s4.pathway0_res5.branch2.b_bn.weight: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2c_bn_b: (1024,) => s4.pathway0_res4.branch2.c_bn.bias: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res1.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res4.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2b_bn_rm: (256,) => s4.pathway0_res4.branch2.b_bn.running_mean: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2b_bn_rm: (512,) => s5.pathway0_res1.branch2.b_bn.running_mean: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2b_bn_b: (512,) => s5.pathway0_res1.branch2.b_bn.bias: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_1_branch2a_bn_riv: (128,) => s3.pathway0_res1.branch2.a_bn.running_var: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_1_branch2b_bn_s: (512,) => s5.pathway0_res1.branch2.b_bn.weight: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res4.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2c_bn_riv: (256,) => s2.pathway0_res2.branch2.c_bn.running_var: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_2_branch2c_bn_s: (1024,) => s4.pathway0_res2.branch2.c_bn.weight: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_2_branch2c_bn_b: (1024,) => s4.pathway0_res2.branch2.c_bn.bias: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2a_w: (64, 256, 1, 1, 1) => s2.pathway0_res2.branch2.a.weight: (64, 256, 1, 1, 1)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_0_branch2b_bn_riv: (64,) => s2.pathway0_res0.branch2.b_bn.running_var: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_2_branch2b_bn_riv: (512,) => s5.pathway0_res2.branch2.b_bn.running_var: (512,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res5_0_branch1_bn_riv: (2048,) => s5.pathway0_res0.branch1_bn.running_var: (2048,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_2_branch2a_bn_rm: (64,) => s2.pathway0_res2.branch2.a_bn.running_mean: (64,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_1_branch2a_bn_s: (256,) => s4.pathway0_res1.branch2.a_bn.weight: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_1_branch2c_bn_b: (256,) => s2.pathway0_res1.branch2.c_bn.bias: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2b_bn_b: (128,) => s3.pathway0_res2.branch2.b_bn.bias: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_1_branch2b_bn_s: (128,) => s3.pathway0_res1.branch2.b_bn.weight: (128,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_1_branch2a_bn_b: (256,) => s4.pathway0_res1.branch2.a_bn.bias: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res4_4_branch2c_bn_s: (1024,) => s4.pathway0_res4.branch2.c_bn.weight: (1024,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res2_1_branch2c_bn_s: (256,) => s2.pathway0_res1.branch2.c_bn.weight: (256,)
[03/28 16:27:32] pa.utils.checkpoint INFO: res3_2_branch2b_bn_s: (128,) => s3.pathway0_res2.branch2.b_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2c_bn_s: (2048,) => s5.pathway0_res1.branch2.c_bn.weight: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2c_bn_b: (2048,) => s5.pathway0_res1.branch2.c_bn.bias: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2b_bn_rm: (64,) => s2.pathway0_res1.branch2.b_bn.running_mean: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2b_bn_b: (256,) => s4.pathway0_res1.branch2.b_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2a_w: (64, 64, 1, 1, 1) => s2.pathway0_res0.branch2.a.weight: (64, 64, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2b_bn_s: (256,) => s4.pathway0_res1.branch2.b_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res0.branch2.b.weight: (512, 512, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2c_bn_rm: (512,) => s3.pathway0_res1.branch2.c_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2a_bn_s: (256,) => s4.pathway0_res4.branch2.a_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2b_bn_s: (256,) => s4.pathway0_res2.branch2.b_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2a_bn_b: (256,) => s4.pathway0_res4.branch2.a_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2b_bn_b: (256,) => s4.pathway0_res2.branch2.b_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2c_bn_rm: (1024,) => s4.pathway0_res3.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2c_bn_riv: (1024,) => s4.pathway0_res3.branch2.c_bn.running_var: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2c_bn_rm: (1024,) => s4.pathway0_res2.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2a_bn_s: (128,) => s3.pathway0_res0.branch2.a_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2a_bn_b: (128,) => s3.pathway0_res0.branch2.a_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2a_bn_riv: (128,) => s3.pathway0_res3.branch2.a_bn.running_var: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2a_bn_rm: (256,) => s4.pathway0_res5.branch2.a_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2b_bn_riv: (512,) => s5.pathway0_res0.branch2.b_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2a_bn_b: (128,) => s3.pathway0_res1.branch2.a_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2a_bn_s: (128,) => s3.pathway0_res1.branch2.a_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2a_bn_s: (512,) => s5.pathway0_res1.branch2.a_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2a_bn_riv: (256,) => s4.pathway0_res0.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2a_bn_riv: (512,) => s5.pathway0_res2.branch2.a_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2a_bn_b: (512,) => s5.pathway0_res1.branch2.a_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2b_bn_riv: (256,) => s4.pathway0_res2.branch2.b_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2b_bn_riv: (256,) => s4.pathway0_res5.branch2.b_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res2.branch2.b.weight: (64, 64, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2a_bn_b: (128,) => s3.pathway0_res3.branch2.a_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2a_bn_riv: (64,) => s2.pathway0_res1.branch2.a_bn.running_var: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2a_bn_riv: (256,) => s4.pathway0_res2.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2a_bn_s: (128,) => s3.pathway0_res3.branch2.a_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res0.branch2.b.weight: (128, 128, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2a_bn_riv: (256,) => s4.pathway0_res5.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2b_bn_riv: (256,) => s4.pathway0_res0.branch2.b_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res0.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2a_w: (512, 2048, 3, 1, 1) => s5.pathway0_res2.branch2.a.weight: (512, 2048, 3, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2c_bn_rm: (256,) => s2.pathway0_res0.branch2.c_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch1_w: (2048, 1024, 1, 1, 1) => s5.pathway0_res0.branch1.weight: (2048, 1024, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2c_bn_b: (256,) => s2.pathway0_res2.branch2.c_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2c_bn_b: (1024,) => s4.pathway0_res5.branch2.c_bn.bias: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2b_bn_s: (256,) => s4.pathway0_res3.branch2.b_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2c_bn_riv: (512,) => s3.pathway0_res2.branch2.c_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2a_w: (512, 1024, 3, 1, 1) => s5.pathway0_res0.branch2.a.weight: (512, 1024, 3, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2c_bn_s: (1024,) => s4.pathway0_res5.branch2.c_bn.weight: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2c_bn_rm: (512,) => s3.pathway0_res3.branch2.c_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2b_bn_b: (256,) => s4.pathway0_res3.branch2.b_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2b_bn_rm: (64,) => s2.pathway0_res0.branch2.b_bn.running_mean: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2a_bn_rm: (512,) => s5.pathway0_res1.branch2.a_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res2.branch2.b.weight: (512, 512, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2c_bn_riv: (1024,) => s4.pathway0_res4.branch2.c_bn.running_var: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2c_bn_b: (1024,) => s4.pathway0_res0.branch2.c_bn.bias: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2b_bn_s: (128,) => s3.pathway0_res3.branch2.b_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res2.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2c_bn_s: (1024,) => s4.pathway0_res0.branch2.c_bn.weight: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2b_bn_rm: (256,) => s4.pathway0_res3.branch2.b_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2b_bn_b: (128,) => s3.pathway0_res3.branch2.b_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2c_bn_riv: (2048,) => s5.pathway0_res1.branch2.c_bn.running_var: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2a_bn_riv: (256,) => s4.pathway0_res1.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: conv1_w: (64, 3, 1, 7, 7) => s1.pathway0_stem.conv.weight: (64, 3, 1, 7, 7)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch1_bn_riv: (256,) => s2.pathway0_res0.branch1_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2c_bn_rm: (512,) => s3.pathway0_res2.branch2.c_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2c_bn_riv: (2048,) => s5.pathway0_res2.branch2.c_bn.running_var: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2c_bn_b: (1024,) => s4.pathway0_res1.branch2.c_bn.bias: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2b_bn_rm: (512,) => s5.pathway0_res0.branch2.b_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2b_bn_riv: (256,) => s4.pathway0_res4.branch2.b_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2c_bn_s: (1024,) => s4.pathway0_res1.branch2.c_bn.weight: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2c_bn_riv: (1024,) => s4.pathway0_res1.branch2.c_bn.running_var: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2b_bn_rm: (128,) => s3.pathway0_res1.branch2.b_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res1.branch2.c.weight: (256, 64, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2a_bn_riv: (64,) => s2.pathway0_res0.branch2.a_bn.running_var: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2a_bn_rm: (512,) => s5.pathway0_res0.branch2.a_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2a_bn_b: (512,) => s5.pathway0_res0.branch2.a_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2b_bn_b: (128,) => s3.pathway0_res1.branch2.b_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2a_bn_s: (128,) => s3.pathway0_res2.branch2.a_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2a_bn_s: (512,) => s5.pathway0_res0.branch2.a_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2b_bn_s: (256,) => s4.pathway0_res0.branch2.b_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2a_bn_b: (256,) => s4.pathway0_res2.branch2.a_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2b_bn_s: (512,) => s5.pathway0_res2.branch2.b_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2c_bn_s: (1024,) => s4.pathway0_res3.branch2.c_bn.weight: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2b_bn_s: (512,) => s5.pathway0_res0.branch2.b_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2a_bn_s: (256,) => s4.pathway0_res2.branch2.a_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2b_bn_b: (512,) => s5.pathway0_res2.branch2.b_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2c_bn_b: (1024,) => s4.pathway0_res3.branch2.c_bn.bias: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2b_bn_rm: (128,) => s3.pathway0_res0.branch2.b_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2b_bn_b: (512,) => s5.pathway0_res0.branch2.b_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2a_bn_b: (512,) => s5.pathway0_res2.branch2.a_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2c_bn_riv: (512,) => s3.pathway0_res3.branch2.c_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch1_bn_s: (256,) => s2.pathway0_res0.branch1_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2a_bn_s: (512,) => s5.pathway0_res2.branch2.a_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2c_bn_riv: (256,) => s2.pathway0_res0.branch2.c_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch1_bn_b: (256,) => s2.pathway0_res0.branch1_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2b_bn_rm: (256,) => s4.pathway0_res0.branch2.b_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch1_bn_s: (1024,) => s4.pathway0_res0.branch1_bn.weight: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2a_bn_rm: (256,) => s4.pathway0_res2.branch2.a_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res0.branch2.b.weight: (64, 64, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch1_bn_b: (1024,) => s4.pathway0_res0.branch1_bn.bias: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2c_bn_rm: (1024,) => s4.pathway0_res1.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2a_bn_rm: (256,) => s4.pathway0_res3.branch2.a_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res2.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch1_bn_b: (512,) => s3.pathway0_res0.branch1_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch1_bn_s: (512,) => s3.pathway0_res0.branch1_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2b_bn_rm: (256,) => s4.pathway0_res1.branch2.b_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2b_bn_b: (256,) => s4.pathway0_res0.branch2.b_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2c_bn_riv: (512,) => s3.pathway0_res1.branch2.c_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2c_bn_b: (512,) => s3.pathway0_res0.branch2.c_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2a_bn_rm: (128,) => s3.pathway0_res0.branch2.a_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2c_bn_s: (2048,) => s5.pathway0_res0.branch2.c_bn.weight: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2b_bn_rm: (256,) => s4.pathway0_res2.branch2.b_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res2.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2c_bn_s: (512,) => s3.pathway0_res0.branch2.c_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2c_bn_b: (2048,) => s5.pathway0_res0.branch2.c_bn.bias: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2b_bn_riv: (64,) => s2.pathway0_res2.branch2.b_bn.running_var: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2a_bn_riv: (256,) => s4.pathway0_res3.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res0.branch2.c.weight: (512, 128, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res2.branch2.c.weight: (256, 64, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2b_bn_riv: (128,) => s3.pathway0_res0.branch2.b_bn.running_var: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2a_w: (128, 256, 1, 1, 1) => s3.pathway0_res0.branch2.a.weight: (128, 256, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2a_bn_s: (64,) => s2.pathway0_res0.branch2.a_bn.weight: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2a_bn_b: (256,) => s4.pathway0_res3.branch2.a_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2a_bn_s: (64,) => s2.pathway0_res1.branch2.a_bn.weight: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2c_bn_rm: (512,) => s3.pathway0_res0.branch2.c_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2c_bn_b: (512,) => s3.pathway0_res2.branch2.c_bn.bias: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2a_bn_b: (64,) => s2.pathway0_res0.branch2.a_bn.bias: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2b_bn_rm: (256,) => s4.pathway0_res5.branch2.b_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2a_bn_b: (64,) => s2.pathway0_res1.branch2.a_bn.bias: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res2.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res1.branch2.b.weight: (128, 128, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2c_bn_s: (512,) => s3.pathway0_res2.branch2.c_bn.weight: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2a_bn_rm: (128,) => s3.pathway0_res1.branch2.a_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res3.branch2.c.weight: (512, 128, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2b_bn_b: (64,) => s2.pathway0_res0.branch2.b_bn.bias: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2a_bn_s: (256,) => s4.pathway0_res0.branch2.a_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res3.branch2.a.weight: (128, 512, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2b_bn_riv: (128,) => s3.pathway0_res1.branch2.b_bn.running_var: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2b_bn_s: (64,) => s2.pathway0_res0.branch2.b_bn.weight: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2a_bn_b: (256,) => s4.pathway0_res0.branch2.a_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2b_bn_rm: (512,) => s5.pathway0_res2.branch2.b_bn.running_mean: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2c_bn_b: (256,) => s2.pathway0_res0.branch2.c_bn.bias: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2b_bn_rm: (128,) => s3.pathway0_res3.branch2.b_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2c_bn_s: (256,) => s2.pathway0_res0.branch2.c_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res3.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2b_bn_b: (128,) => s3.pathway0_res0.branch2.b_bn.bias: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch1_w: (256, 64, 1, 1, 1) => s2.pathway0_res0.branch1.weight: (256, 64, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2c_bn_rm: (256,) => s2.pathway0_res1.branch2.c_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2b_bn_s: (128,) => s3.pathway0_res0.branch2.b_bn.weight: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2c_bn_rm: (2048,) => s5.pathway0_res2.branch2.c_bn.running_mean: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res_conv1_bn_riv: (64,) => s1.pathway0_stem.bn.running_var: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2a_bn_riv: (256,) => s4.pathway0_res4.branch2.a_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_1_branch2b_bn_riv: (512,) => s5.pathway0_res1.branch2.b_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2c_bn_s: (2048,) => s5.pathway0_res2.branch2.c_bn.weight: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res0.branch2.c.weight: (256, 64, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_2_branch2c_bn_b: (2048,) => s5.pathway0_res2.branch2.c_bn.bias: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2a_bn_s: (256,) => s4.pathway0_res3.branch2.a_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2b_bn_riv: (256,) => s4.pathway0_res3.branch2.b_bn.running_var: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_2_branch2c_bn_riv: (1024,) => s4.pathway0_res2.branch2.c_bn.running_var: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res2.branch2.b.weight: (128, 128, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2a_w: (64, 256, 1, 1, 1) => s2.pathway0_res1.branch2.a.weight: (64, 256, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch1_w: (1024, 512, 1, 1, 1) => s4.pathway0_res0.branch1.weight: (1024, 512, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2b_bn_riv: (128,) => s3.pathway0_res2.branch2.b_bn.running_var: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res5.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_0_branch1_bn_rm: (256,) => s2.pathway0_res0.branch1_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2b_bn_s: (64,) => s2.pathway0_res2.branch2.b_bn.weight: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res_conv1_bn_rm: (64,) => s1.pathway0_stem.bn.running_mean: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2b_bn_rm: (128,) => s3.pathway0_res2.branch2.b_bn.running_mean: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2b_bn_b: (64,) => s2.pathway0_res2.branch2.b_bn.bias: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2c_bn_s: (256,) => s2.pathway0_res2.branch2.c_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch1_bn_rm: (1024,) => s4.pathway0_res0.branch1_bn.running_mean: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch1_bn_riv: (1024,) => s4.pathway0_res0.branch1_bn.running_var: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch1_bn_s: (2048,) => s5.pathway0_res0.branch1_bn.weight: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res0.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2b_bn_b: (64,) => s2.pathway0_res1.branch2.b_bn.bias: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch2c_bn_rm: (2048,) => s5.pathway0_res0.branch2.c_bn.running_mean: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res5_0_branch1_bn_b: (2048,) => s5.pathway0_res0.branch1_bn.bias: (2048,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_0_branch2a_w: (256, 512, 3, 1, 1) => s4.pathway0_res0.branch2.a.weight: (256, 512, 3, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_4_branch2c_bn_rm: (1024,) => s4.pathway0_res4.branch2.c_bn.running_mean: (1024,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2b_bn_s: (64,) => s2.pathway0_res1.branch2.b_bn.weight: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch1_bn_riv: (512,) => s3.pathway0_res0.branch1_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2a_bn_rm: (256,) => s4.pathway0_res1.branch2.a_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_0_branch2c_bn_riv: (512,) => s3.pathway0_res0.branch2.c_bn.running_var: (512,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res1.branch2.a.weight: (128, 512, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res1.branch2.b.weight: (64, 64, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_1_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res1.branch2.c.weight: (512, 128, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_2_branch2a_bn_riv: (128,) => s3.pathway0_res2.branch2.a_bn.running_var: (128,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_2_branch2c_bn_rm: (256,) => s2.pathway0_res2.branch2.c_bn.running_mean: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: !! pred_b: (400,) does not match head.projection.bias: (80,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res3_3_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res3.branch2.b.weight: (128, 128, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res2_1_branch2b_bn_riv: (64,) => s2.pathway0_res1.branch2.b_bn.running_var: (64,)
[03/28 16:27:33] pa.utils.checkpoint INFO: !! pred_w: (400, 2048) does not match head.projection.weight: (80, 2048)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res3.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_1_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res1.branch2.b.weight: (256, 256, 1, 3, 3)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_3_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res3.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2a_bn_s: (256,) => s4.pathway0_res5.branch2.a_bn.weight: (256,)
[03/28 16:27:33] pa.utils.checkpoint INFO: res4_5_branch2a_bn_b: (256,) => s4.pathway0_res5.branch2.a_bn.bias: (256,)
[03/28 16:27:47] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/train.csv
[03/28 16:28:00] pa.datasets.ava_helper INFO: Finished loading annotations from: /public/sist/home/hexm/Projects/pyaction/data/ava/annotations/ava_train_v2.2.csv, /public/sist/home/hexm/Projects/pyaction/data/ava/annotations/ava_train_v2.2.csv, /public/sist/home/hexm/Projects/pyaction/data/ava/annotations/person_box_67091280_iou90/ava_detection_train_boxes_and_labels_include_negative_v2.2.csv
[03/28 16:28:00] pa.datasets.ava_helper INFO: Detection threshold: 0.9
[03/28 16:28:00] pa.datasets.ava_helper INFO: Number of unique boxes: 666191
[03/28 16:28:00] pa.datasets.ava_helper INFO: Number of annotations: 2507679
[03/28 16:28:01] pa.datasets.ava_helper INFO: 193301 keyframes used.
[03/28 16:28:01] pa.datasets.ava_dataset INFO: === AVA dataset summary ===
[03/28 16:28:01] pa.datasets.ava_dataset INFO: Split: train
[03/28 16:28:01] pa.datasets.ava_dataset INFO: Number of videos: 235
[03/28 16:28:01] pa.datasets.ava_dataset INFO: Number of frames: 6352104
[03/28 16:28:01] pa.datasets.ava_dataset INFO: Number of key frames: 193301
[03/28 16:28:01] pa.datasets.ava_dataset INFO: Number of boxes: 666191.
[03/28 16:28:06] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/val.csv
[03/28 16:28:06] pa.datasets.ava_helper INFO: Finished loading annotations from: /public/sist/home/hexm/Projects/pyaction/data/ava/annotations/person_box_67091280_iou90/ava_detection_val_boxes_and_labels.csv
[03/28 16:28:06] pa.datasets.ava_helper INFO: Detection threshold: 0.9
[03/28 16:28:06] pa.datasets.ava_helper INFO: Number of unique boxes: 23011
[03/28 16:28:06] pa.datasets.ava_helper INFO: Number of annotations: 0
[03/28 16:28:06] pa.datasets.ava_helper INFO: 12880 keyframes used.
[03/28 16:28:06] pa.datasets.ava_dataset INFO: === AVA dataset summary ===
[03/28 16:28:06] pa.datasets.ava_dataset INFO: Split: val
[03/28 16:28:06] pa.datasets.ava_dataset INFO: Number of videos: 64
[03/28 16:28:06] pa.datasets.ava_dataset INFO: Number of frames: 1729931
[03/28 16:28:06] pa.datasets.ava_dataset INFO: Number of key frames: 12880
[03/28 16:28:06] pa.datasets.ava_dataset INFO: Number of boxes: 23011.
[03/28 16:28:22] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/train.csv
[03/28 16:28:28] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/val.csv
[03/28 16:28:28] pyaction INFO: Start epoch: 1
[03/28 16:37:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "10", "eta": "0:47:08", "loss": 0.821197, "lr": 0.000185, "mode": "train", "time_backward": 0.484244, "time_data": 0.003926, "time_diff": 0.939542, "time_forward": 0.348630, "time_loss": 0.000254}
[03/28 16:37:46] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "20", "eta": "1:24:48", "loss": 0.719133, "lr": 0.000251, "mode": "train", "time_backward": 0.484792, "time_data": 0.003777, "time_diff": 2.451850, "time_forward": 0.346180, "time_loss": 0.000298}
[03/28 16:37:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "30", "eta": "1:13:32", "loss": 0.572535, "lr": 0.000317, "mode": "train", "time_backward": 0.484364, "time_data": 0.097993, "time_diff": 1.034585, "time_forward": 0.349630, "time_loss": 0.000262}
[03/28 16:38:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "40", "eta": "2:45:35", "loss": 0.456814, "lr": 0.000383, "mode": "train", "time_backward": 0.485034, "time_data": 0.003804, "time_diff": 8.906402, "time_forward": 0.346693, "time_loss": 0.000409}
[03/28 16:39:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "50", "eta": "2:21:20", "loss": 0.363062, "lr": 0.000449, "mode": "train", "time_backward": 0.484155, "time_data": 0.003841, "time_diff": 0.940148, "time_forward": 0.348282, "time_loss": 0.000476}
[03/28 16:39:26] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "60", "eta": "2:08:53", "loss": 0.297838, "lr": 0.000515, "mode": "train", "time_backward": 0.484271, "time_data": 0.003855, "time_diff": 1.397572, "time_forward": 0.347778, "time_loss": 0.000289}
[03/28 16:39:37] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "70", "eta": "1:56:42", "loss": 0.259877, "lr": 0.000581, "mode": "train", "time_backward": 0.485297, "time_data": 0.003748, "time_diff": 0.941446, "time_forward": 0.346671, "time_loss": 0.000519}
[03/28 16:40:12] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "80", "eta": "1:53:58", "loss": 0.231846, "lr": 0.000648, "mode": "train", "time_backward": 0.485292, "time_data": 0.003535, "time_diff": 1.991415, "time_forward": 0.348005, "time_loss": 0.000554}
[03/28 16:40:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "90", "eta": "1:46:18", "loss": 0.220430, "lr": 0.000714, "mode": "train", "time_backward": 0.485790, "time_data": 0.003836, "time_diff": 0.982253, "time_forward": 0.347784, "time_loss": 0.000741}
[03/28 16:40:41] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "100", "eta": "1:45:00", "loss": 0.207208, "lr": 0.000780, "mode": "train", "time_backward": 0.483758, "time_data": 0.003720, "time_diff": 1.984284, "time_forward": 0.347363, "time_loss": 0.000280}
[03/28 16:41:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "110", "eta": "1:39:18", "loss": 0.204384, "lr": 0.000846, "mode": "train", "time_backward": 0.485320, "time_data": 0.004029, "time_diff": 0.947278, "time_forward": 0.348283, "time_loss": 0.000277}
[03/28 16:41:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "120", "eta": "1:34:30", "loss": 0.193677, "lr": 0.000912, "mode": "train", "time_backward": 0.484041, "time_data": 0.003633, "time_diff": 0.939794, "time_forward": 0.347794, "time_loss": 0.000349}
[03/28 16:41:43] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "130", "eta": "1:30:26", "loss": 0.188800, "lr": 0.000978, "mode": "train", "time_backward": 0.486005, "time_data": 0.003743, "time_diff": 0.945532, "time_forward": 0.348044, "time_loss": 0.000342}
[03/28 16:41:55] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "140", "eta": "1:26:55", "loss": 0.182891, "lr": 0.001044, "mode": "train", "time_backward": 0.484278, "time_data": 0.003676, "time_diff": 0.940715, "time_forward": 0.347802, "time_loss": 0.000566}
[03/28 16:42:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "150", "eta": "1:23:50", "loss": 0.185808, "lr": 0.001111, "mode": "train", "time_backward": 0.484238, "time_data": 0.004193, "time_diff": 0.940757, "time_forward": 0.347806, "time_loss": 0.000520}
[03/28 16:42:33] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "160", "eta": "1:21:26", "loss": 0.170569, "lr": 0.001177, "mode": "train", "time_backward": 0.487465, "time_data": 0.003672, "time_diff": 1.044364, "time_forward": 0.347639, "time_loss": 0.000227}
[03/28 16:42:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "170", "eta": "1:19:01", "loss": 0.180116, "lr": 0.001243, "mode": "train", "time_backward": 0.483478, "time_data": 0.004306, "time_diff": 0.944949, "time_forward": 0.354618, "time_loss": 0.000214}
[03/28 16:43:17] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "180", "eta": "1:16:51", "loss": 0.170161, "lr": 0.001309, "mode": "train", "time_backward": 0.484989, "time_data": 0.003946, "time_diff": 0.942735, "time_forward": 0.348360, "time_loss": 0.000410}
[03/28 16:43:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "190", "eta": "1:14:53", "loss": 0.169758, "lr": 0.001375, "mode": "train", "time_backward": 0.484649, "time_data": 0.004006, "time_diff": 0.943714, "time_forward": 0.348101, "time_loss": 0.000849}
[03/28 16:43:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "200", "eta": "1:13:06", "loss": 0.190758, "lr": 0.001441, "mode": "train", "time_backward": 0.484559, "time_data": 0.003869, "time_diff": 0.940245, "time_forward": 0.348444, "time_loss": 0.001139}
[03/28 16:44:00] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "210", "eta": "1:20:59", "loss": 0.160124, "lr": 0.001507, "mode": "train", "time_backward": 0.990663, "time_data": 0.003822, "time_diff": 5.207303, "time_forward": 0.348194, "time_loss": 0.000637}
[03/28 16:44:26] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "220", "eta": "1:39:25", "loss": 0.163179, "lr": 0.001574, "mode": "train", "time_backward": 0.484130, "time_data": 0.003605, "time_diff": 10.551889, "time_forward": 0.347394, "time_loss": 0.000329}
[03/28 16:44:56] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "230", "eta": "1:36:40", "loss": 0.168531, "lr": 0.001640, "mode": "train", "time_backward": 0.486028, "time_data": 0.003647, "time_diff": 0.942717, "time_forward": 0.348615, "time_loss": 0.000525}
[03/28 16:45:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "240", "eta": "1:34:07", "loss": 0.150685, "lr": 0.001706, "mode": "train", "time_backward": 0.484689, "time_data": 0.003672, "time_diff": 0.940120, "time_forward": 0.347558, "time_loss": 0.000271}
[03/28 16:45:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "250", "eta": "1:31:46", "loss": 0.161281, "lr": 0.001772, "mode": "train", "time_backward": 0.487358, "time_data": 0.003647, "time_diff": 0.942330, "time_forward": 0.348327, "time_loss": 0.000264}
[03/28 16:45:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "260", "eta": "1:29:36", "loss": 0.179131, "lr": 0.001838, "mode": "train", "time_backward": 0.485268, "time_data": 0.003823, "time_diff": 0.941270, "time_forward": 0.347718, "time_loss": 0.000648}
[03/28 16:46:00] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "270", "eta": "1:27:34", "loss": 0.173855, "lr": 0.001904, "mode": "train", "time_backward": 0.483753, "time_data": 0.003609, "time_diff": 0.943052, "time_forward": 0.348158, "time_loss": 0.000285}
[03/28 16:46:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "280", "eta": "1:25:40", "loss": 0.158841, "lr": 0.001970, "mode": "train", "time_backward": 0.484013, "time_data": 0.003689, "time_diff": 0.942284, "time_forward": 0.347980, "time_loss": 0.000529}
[03/28 16:46:22] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "290", "eta": "1:23:54", "loss": 0.152987, "lr": 0.002037, "mode": "train", "time_backward": 0.484200, "time_data": 0.008801, "time_diff": 0.945697, "time_forward": 0.348104, "time_loss": 0.000817}
[03/28 16:46:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "300", "eta": "1:22:13", "loss": 0.160384, "lr": 0.002103, "mode": "train", "time_backward": 0.485871, "time_data": 0.003767, "time_diff": 0.941634, "time_forward": 0.347669, "time_loss": 0.000378}
[03/28 16:46:43] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "310", "eta": "1:20:39", "loss": 0.154798, "lr": 0.002169, "mode": "train", "time_backward": 0.483540, "time_data": 0.003652, "time_diff": 0.941306, "time_forward": 0.347596, "time_loss": 0.000421}
[03/28 16:46:55] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "320", "eta": "1:19:10", "loss": 0.149999, "lr": 0.002235, "mode": "train", "time_backward": 0.486274, "time_data": 0.003687, "time_diff": 0.943040, "time_forward": 0.347798, "time_loss": 0.000767}
[03/28 16:47:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "330", "eta": "1:17:46", "loss": 0.161445, "lr": 0.002301, "mode": "train", "time_backward": 0.485482, "time_data": 0.003958, "time_diff": 0.940201, "time_forward": 0.347683, "time_loss": 0.000579}
[03/28 16:47:18] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "340", "eta": "1:16:26", "loss": 0.150506, "lr": 0.002367, "mode": "train", "time_backward": 0.485624, "time_data": 0.003739, "time_diff": 0.943372, "time_forward": 0.348220, "time_loss": 0.000253}
[03/28 16:47:33] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "350", "eta": "1:15:11", "loss": 0.164336, "lr": 0.002433, "mode": "train", "time_backward": 0.486452, "time_data": 0.004203, "time_diff": 0.950091, "time_forward": 0.348140, "time_loss": 0.000273}
[03/28 16:47:45] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "360", "eta": "1:13:59", "loss": 0.151104, "lr": 0.002500, "mode": "train", "time_backward": 0.485929, "time_data": 0.003756, "time_diff": 0.941295, "time_forward": 0.348433, "time_loss": 0.000529}
[03/28 16:47:57] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "370", "eta": "1:12:50", "loss": 0.152776, "lr": 0.002566, "mode": "train", "time_backward": 0.483985, "time_data": 0.003640, "time_diff": 0.942423, "time_forward": 0.348012, "time_loss": 0.000532}
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[03/28 18:24:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "2960", "eta": "0:01:56", "loss": 0.125765, "lr": 0.019697, "mode": "train", "time_backward": 0.485646, "time_data": 0.003665, "time_diff": 0.941362, "time_forward": 0.348593, "time_loss": 0.000584}
[03/28 18:25:08] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "2970", "eta": "0:01:37", "loss": 0.130817, "lr": 0.019763, "mode": "train", "time_backward": 0.486507, "time_data": 0.004316, "time_diff": 0.943081, "time_forward": 0.348691, "time_loss": 0.000661}
[03/28 18:25:36] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "2980", "eta": "0:01:18", "loss": 0.127051, "lr": 0.019829, "mode": "train", "time_backward": 0.491429, "time_data": 0.003829, "time_diff": 1.084763, "time_forward": 0.360127, "time_loss": 0.000501}
[03/28 18:25:52] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "2990", "eta": "0:00:59", "loss": 0.113920, "lr": 0.019895, "mode": "train", "time_backward": 0.486170, "time_data": 0.003960, "time_diff": 0.941644, "time_forward": 0.348633, "time_loss": 0.000384}
[03/28 18:26:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "3000", "eta": "0:00:39", "loss": 0.123450, "lr": 0.019961, "mode": "train", "time_backward": 0.486423, "time_data": 0.003732, "time_diff": 0.943630, "time_forward": 0.348830, "time_loss": 0.000637}
[03/28 18:26:33] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "3010", "eta": "0:00:20", "loss": 0.114379, "lr": 0.020027, "mode": "train", "time_backward": 0.486405, "time_data": 0.003542, "time_diff": 1.604517, "time_forward": 0.348095, "time_loss": 0.000422}
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[03/28 18:39:45] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "10", "eta": "1:35:15", "loss": 0.122454, "lr": 0.020160, "mode": "train", "time_backward": 0.487599, "time_data": 0.003788, "time_diff": 1.856847, "time_forward": 0.348498, "time_loss": 0.000600}
[03/28 18:39:55] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "20", "eta": "1:34:47", "loss": 0.131694, "lr": 0.020226, "mode": "train", "time_backward": 0.486009, "time_data": 0.003734, "time_diff": 0.942778, "time_forward": 0.348369, "time_loss": 0.000324}
[03/28 18:40:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "30", "eta": "1:34:19", "loss": 0.121003, "lr": 0.020292, "mode": "train", "time_backward": 0.485624, "time_data": 0.003796, "time_diff": 0.942525, "time_forward": 0.348506, "time_loss": 0.000555}
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[03/28 19:14:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1170", "eta": "0:59:56", "loss": 0.103439, "lr": 0.027832, "mode": "train", "time_backward": 0.486701, "time_data": 0.072202, "time_diff": 1.020442, "time_forward": 0.349269, "time_loss": 0.000446}
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[03/28 19:14:37] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1200", "eta": "0:58:47", "loss": 0.108715, "lr": 0.028030, "mode": "train", "time_backward": 0.485259, "time_data": 0.003758, "time_diff": 0.942235, "time_forward": 0.348188, "time_loss": 0.000332}
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[03/28 19:27:08] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1670", "eta": "0:42:24", "loss": 0.104650, "lr": 0.031139, "mode": "train", "time_backward": 0.487670, "time_data": 0.003767, "time_diff": 2.109052, "time_forward": 0.348495, "time_loss": 0.000276}
[03/28 19:27:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1680", "eta": "0:42:03", "loss": 0.114994, "lr": 0.031205, "mode": "train", "time_backward": 0.485892, "time_data": 0.003758, "time_diff": 0.942887, "time_forward": 0.348303, "time_loss": 0.000354}
[03/28 19:27:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1690", "eta": "0:41:42", "loss": 0.109485, "lr": 0.031271, "mode": "train", "time_backward": 0.485662, "time_data": 0.003743, "time_diff": 1.402132, "time_forward": 0.349385, "time_loss": 0.000406}
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[03/28 19:28:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1720", "eta": "0:40:38", "loss": 0.121403, "lr": 0.031470, "mode": "train", "time_backward": 0.484904, "time_data": 0.004176, "time_diff": 0.947190, "time_forward": 0.350203, "time_loss": 0.000378}
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[03/28 19:29:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1740", "eta": "0:39:56", "loss": 0.104819, "lr": 0.031602, "mode": "train", "time_backward": 0.488455, "time_data": 0.003977, "time_diff": 0.946812, "time_forward": 0.349325, "time_loss": 0.000420}
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[03/28 19:31:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "1800", "eta": "0:37:54", "loss": 0.107725, "lr": 0.031999, "mode": "train", "time_backward": 0.485794, "time_data": 0.003711, "time_diff": 0.945040, "time_forward": 0.348437, "time_loss": 0.000250}
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[03/28 20:01:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "2840", "eta": "0:05:28", "loss": 0.104563, "lr": 0.038878, "mode": "train", "time_backward": 0.487676, "time_data": 0.003697, "time_diff": 0.945023, "time_forward": 0.349344, "time_loss": 0.000712}
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[03/28 20:01:22] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "2860", "eta": "0:04:49", "loss": 0.092190, "lr": 0.039010, "mode": "train", "time_backward": 0.486565, "time_data": 0.078053, "time_diff": 1.043502, "time_forward": 0.357803, "time_loss": 0.017133}
[03/28 20:01:33] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "2870", "eta": "0:04:31", "loss": 0.093140, "lr": 0.039076, "mode": "train", "time_backward": 0.487094, "time_data": 0.003685, "time_diff": 0.944805, "time_forward": 0.349327, "time_loss": 0.000736}
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[03/28 20:02:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "2900", "eta": "0:03:37", "loss": 0.097206, "lr": 0.039275, "mode": "train", "time_backward": 0.486902, "time_data": 0.003857, "time_diff": 0.943597, "time_forward": 0.349892, "time_loss": 0.000284}
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[03/28 20:34:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1070", "eta": "0:52:37", "loss": 0.079821, "lr": 0.047146, "mode": "train", "time_backward": 0.487839, "time_data": 0.003777, "time_diff": 0.944745, "time_forward": 0.349353, "time_loss": 0.000537}
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[03/28 20:36:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1170", "eta": "0:49:48", "loss": 0.088682, "lr": 0.047807, "mode": "train", "time_backward": 0.485648, "time_data": 0.003720, "time_diff": 0.945245, "time_forward": 0.349277, "time_loss": 0.000339}
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[03/28 20:45:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1560", "eta": "0:39:15", "loss": 0.089043, "lr": 0.050387, "mode": "train", "time_backward": 0.485048, "time_data": 0.003739, "time_diff": 0.944728, "time_forward": 0.348641, "time_loss": 0.000511}
[03/28 20:45:37] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1570", "eta": "0:38:59", "loss": 0.086952, "lr": 0.050453, "mode": "train", "time_backward": 0.487109, "time_data": 0.003669, "time_diff": 0.943511, "time_forward": 0.349567, "time_loss": 0.000375}
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[03/28 20:58:31] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2150", "eta": "0:23:32", "loss": 0.075938, "lr": 0.054289, "mode": "train", "time_backward": 0.485964, "time_data": 0.608011, "time_diff": 1.546254, "time_forward": 0.349500, "time_loss": 0.000317}
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[03/28 20:59:01] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2170", "eta": "0:22:34", "loss": 0.082601, "lr": 0.054421, "mode": "train", "time_backward": 0.485831, "time_data": 0.003860, "time_diff": 0.941994, "time_forward": 0.348368, "time_loss": 0.000324}
[03/28 20:59:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2180", "eta": "0:22:07", "loss": 0.083616, "lr": 0.054487, "mode": "train", "time_backward": 0.485602, "time_data": 0.003845, "time_diff": 0.944218, "time_forward": 0.348376, "time_loss": 0.000255}
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[03/28 20:59:57] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2200", "eta": "0:21:36", "loss": 0.085176, "lr": 0.054620, "mode": "train", "time_backward": 0.485137, "time_data": 0.003774, "time_diff": 0.951867, "time_forward": 0.360190, "time_loss": 0.000255}
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[03/28 21:00:28] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2230", "eta": "0:20:49", "loss": 0.081404, "lr": 0.054818, "mode": "train", "time_backward": 0.580910, "time_data": 0.012479, "time_diff": 1.487376, "time_forward": 0.779311, "time_loss": 0.000353}
[03/28 21:00:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2240", "eta": "0:20:34", "loss": 0.076063, "lr": 0.054884, "mode": "train", "time_backward": 0.486620, "time_data": 0.003879, "time_diff": 0.947078, "time_forward": 0.349736, "time_loss": 0.000524}
[03/28 21:00:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2250", "eta": "0:20:18", "loss": 0.076316, "lr": 0.054950, "mode": "train", "time_backward": 0.486483, "time_data": 0.003765, "time_diff": 0.946653, "time_forward": 0.349010, "time_loss": 0.000294}
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[03/28 21:11:12] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2710", "eta": "0:07:55", "loss": 0.082893, "lr": 0.057993, "mode": "train", "time_backward": 0.486817, "time_data": 0.003998, "time_diff": 0.951470, "time_forward": 0.349184, "time_loss": 0.000596}
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[03/28 21:12:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2750", "eta": "0:06:56", "loss": 0.074180, "lr": 0.058258, "mode": "train", "time_backward": 0.487220, "time_data": 0.003857, "time_diff": 0.943157, "time_forward": 0.348594, "time_loss": 0.000690}
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[03/28 21:13:01] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2770", "eta": "0:06:24", "loss": 0.079204, "lr": 0.058390, "mode": "train", "time_backward": 0.486669, "time_data": 0.003736, "time_diff": 0.944795, "time_forward": 0.348394, "time_loss": 0.000472}
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[03/28 21:13:43] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2790", "eta": "0:05:56", "loss": 0.078078, "lr": 0.058522, "mode": "train", "time_backward": 0.487266, "time_data": 0.004164, "time_diff": 0.946922, "time_forward": 0.349671, "time_loss": 0.000253}
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[03/28 21:15:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "2850", "eta": "0:04:24", "loss": 0.072503, "lr": 0.058919, "mode": "train", "time_backward": 0.486644, "time_data": 0.003879, "time_diff": 1.638033, "time_forward": 0.348894, "time_loss": 0.000288}
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[03/28 22:11:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "1400", "eta": "0:41:23", "loss": 0.069932, "lr": 0.069303, "mode": "train", "time_backward": 0.486398, "time_data": 0.003678, "time_diff": 0.943818, "time_forward": 0.349286, "time_loss": 0.000325}
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[03/28 22:12:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "1460", "eta": "0:39:43", "loss": 0.070925, "lr": 0.069700, "mode": "train", "time_backward": 0.486671, "time_data": 0.003830, "time_diff": 0.946094, "time_forward": 0.349702, "time_loss": 0.000369}
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[03/28 22:12:40] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "1490", "eta": "0:38:57", "loss": 0.069620, "lr": 0.069899, "mode": "train", "time_backward": 0.488418, "time_data": 0.003923, "time_diff": 0.944575, "time_forward": 0.349534, "time_loss": 0.000360}
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[03/28 22:13:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "1530", "eta": "0:37:46", "loss": 0.069682, "lr": 0.070163, "mode": "train", "time_backward": 0.487694, "time_data": 0.003786, "time_diff": 0.944380, "time_forward": 0.349541, "time_loss": 0.000478}
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[03/28 22:29:36] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2020", "eta": "0:27:05", "loss": 0.067909, "lr": 0.073404, "mode": "train", "time_backward": 0.487082, "time_data": 0.003740, "time_diff": 10.224446, "time_forward": 0.349141, "time_loss": 0.000368}
[03/28 22:29:48] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2030", "eta": "0:26:48", "loss": 0.070114, "lr": 0.073470, "mode": "train", "time_backward": 0.488256, "time_data": 0.003783, "time_diff": 0.944630, "time_forward": 0.349242, "time_loss": 0.000624}
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[03/28 22:30:48] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2070", "eta": "0:25:51", "loss": 0.067356, "lr": 0.073735, "mode": "train", "time_backward": 0.486725, "time_data": 0.003873, "time_diff": 0.947657, "time_forward": 0.348907, "time_loss": 0.000438}
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[03/28 22:31:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2090", "eta": "0:25:21", "loss": 0.064250, "lr": 0.073867, "mode": "train", "time_backward": 0.487283, "time_data": 0.003664, "time_diff": 2.188457, "time_forward": 0.348948, "time_loss": 0.000386}
[03/28 22:31:33] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2100", "eta": "0:24:59", "loss": 0.067154, "lr": 0.073933, "mode": "train", "time_backward": 0.488637, "time_data": 0.003819, "time_diff": 1.019217, "time_forward": 0.349209, "time_loss": 0.000537}
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[03/28 22:34:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "2200", "eta": "0:22:34", "loss": 0.068972, "lr": 0.074595, "mode": "train", "time_backward": 0.485567, "time_data": 0.003764, "time_diff": 0.944641, "time_forward": 0.349138, "time_loss": 0.000328}
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[03/29 00:26:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2820", "eta": "0:05:10", "loss": 0.056686, "lr": 0.098671, "mode": "train", "time_backward": 0.487045, "time_data": 0.003727, "time_diff": 1.494912, "time_forward": 0.349025, "time_loss": 0.000331}
[03/29 00:26:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2830", "eta": "0:04:51", "loss": 0.057757, "lr": 0.098737, "mode": "train", "time_backward": 0.485188, "time_data": 0.003753, "time_diff": 0.943812, "time_forward": 0.348601, "time_loss": 0.000301}
[03/29 00:26:48] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2840", "eta": "0:04:33", "loss": 0.060305, "lr": 0.098803, "mode": "train", "time_backward": 0.486343, "time_data": 0.003879, "time_diff": 0.944498, "time_forward": 0.349245, "time_loss": 0.000525}
[03/29 00:27:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2850", "eta": "0:04:18", "loss": 0.060528, "lr": 0.098869, "mode": "train", "time_backward": 0.486234, "time_data": 0.004134, "time_diff": 0.945496, "time_forward": 0.349295, "time_loss": 0.000289}
[03/29 00:27:18] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2860", "eta": "0:04:03", "loss": 0.056274, "lr": 0.098935, "mode": "train", "time_backward": 0.488499, "time_data": 0.003759, "time_diff": 0.944594, "time_forward": 0.349492, "time_loss": 0.000621}
[03/29 00:27:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2870", "eta": "0:03:48", "loss": 0.058119, "lr": 0.099001, "mode": "train", "time_backward": 0.486871, "time_data": 0.003931, "time_diff": 0.945973, "time_forward": 0.348903, "time_loss": 0.000256}
[03/29 00:28:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2880", "eta": "0:03:33", "loss": 0.056213, "lr": 0.099067, "mode": "train", "time_backward": 0.486385, "time_data": 0.003772, "time_diff": 0.953484, "time_forward": 0.360818, "time_loss": 0.000255}
[03/29 00:28:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2890", "eta": "0:03:18", "loss": 0.059667, "lr": 0.099134, "mode": "train", "time_backward": 0.486287, "time_data": 0.003822, "time_diff": 0.954096, "time_forward": 0.349039, "time_loss": 0.000485}
[03/29 00:28:40] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2900", "eta": "0:03:03", "loss": 0.058458, "lr": 0.099200, "mode": "train", "time_backward": 0.487416, "time_data": 0.003793, "time_diff": 0.953711, "time_forward": 0.359819, "time_loss": 0.000313}
[03/29 00:28:55] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2910", "eta": "0:02:47", "loss": 0.056982, "lr": 0.099266, "mode": "train", "time_backward": 0.489450, "time_data": 0.003874, "time_diff": 0.945063, "time_forward": 0.348510, "time_loss": 0.000792}
[03/29 00:29:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2920", "eta": "0:02:32", "loss": 0.056032, "lr": 0.099332, "mode": "train", "time_backward": 0.485119, "time_data": 0.003960, "time_diff": 0.945654, "time_forward": 0.349293, "time_loss": 0.000518}
[03/29 00:29:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2930", "eta": "0:02:17", "loss": 0.058376, "lr": 0.099398, "mode": "train", "time_backward": 0.484582, "time_data": 0.003681, "time_diff": 0.944177, "time_forward": 0.348898, "time_loss": 0.000212}
[03/29 00:29:45] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2940", "eta": "0:02:02", "loss": 0.059562, "lr": 0.099464, "mode": "train", "time_backward": 0.489321, "time_data": 0.031925, "time_diff": 1.078009, "time_forward": 0.357609, "time_loss": 0.000266}
[03/29 00:30:01] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2950", "eta": "0:01:47", "loss": 0.058818, "lr": 0.099530, "mode": "train", "time_backward": 0.485799, "time_data": 0.602856, "time_diff": 1.542679, "time_forward": 0.349416, "time_loss": 0.000264}
[03/29 00:30:18] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2960", "eta": "0:01:32", "loss": 0.056564, "lr": 0.099597, "mode": "train", "time_backward": 0.485255, "time_data": 0.004067, "time_diff": 0.944138, "time_forward": 0.348639, "time_loss": 0.000457}
[03/29 00:30:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2970", "eta": "0:01:17", "loss": 0.058321, "lr": 0.099663, "mode": "train", "time_backward": 0.487008, "time_data": 0.003660, "time_diff": 0.945508, "time_forward": 0.349236, "time_loss": 0.000478}
[03/29 00:30:53] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2980", "eta": "0:01:01", "loss": 0.057469, "lr": 0.099729, "mode": "train", "time_backward": 0.489392, "time_data": 0.003722, "time_diff": 0.945603, "time_forward": 0.349274, "time_loss": 0.000331}
[03/29 00:31:14] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2990", "eta": "0:00:46", "loss": 0.055067, "lr": 0.099795, "mode": "train", "time_backward": 0.485986, "time_data": 0.003832, "time_diff": 0.945116, "time_forward": 0.348955, "time_loss": 0.000724}
[03/29 00:31:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "3000", "eta": "0:00:31", "loss": 0.061014, "lr": 0.099861, "mode": "train", "time_backward": 0.485989, "time_data": 0.003786, "time_diff": 0.942238, "time_forward": 0.348142, "time_loss": 0.000790}
[03/29 00:32:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "3010", "eta": "0:00:16", "loss": 0.058082, "lr": 0.099927, "mode": "train", "time_backward": 0.487209, "time_data": 0.003755, "time_diff": 0.944203, "time_forward": 0.348542, "time_loss": 0.000648}
[03/29 00:32:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "3020", "eta": "0:00:01", "loss": 0.056522, "lr": 0.099993, "mode": "train", "time_backward": 0.484764, "time_data": 0.003625, "time_diff": 4.184408, "time_forward": 0.348157, "time_loss": 0.000606}
[03/29 00:41:55] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "10", "eta": "0:02:49", "mode": "val", "time_diff": 0.879292}
[03/29 00:42:04] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "20", "eta": "0:02:42", "mode": "val", "time_diff": 0.895645}
[03/29 00:42:12] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "30", "eta": "0:02:32", "mode": "val", "time_diff": 0.872858}
[03/29 00:42:22] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "40", "eta": "0:02:24", "mode": "val", "time_diff": 0.886965}
[03/29 00:42:31] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "50", "eta": "0:02:15", "mode": "val", "time_diff": 0.888411}
[03/29 00:42:41] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "60", "eta": "0:02:07", "mode": "val", "time_diff": 0.922045}
[03/29 00:42:50] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "70", "eta": "0:01:59", "mode": "val", "time_diff": 0.930902}
[03/29 00:42:59] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "80", "eta": "0:01:50", "mode": "val", "time_diff": 0.897314}
[03/29 00:43:08] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "90", "eta": "0:01:41", "mode": "val", "time_diff": 0.874528}
[03/29 00:43:24] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "100", "eta": "0:01:32", "mode": "val", "time_diff": 0.885682}
[03/29 00:43:35] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "110", "eta": "0:01:23", "mode": "val", "time_diff": 0.884322}
[03/29 00:43:44] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "120", "eta": "0:01:14", "mode": "val", "time_diff": 0.886122}
[03/29 00:43:53] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "130", "eta": "0:01:05", "mode": "val", "time_diff": 0.885014}
[03/29 00:44:03] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "140", "eta": "0:00:56", "mode": "val", "time_diff": 0.873553}
[03/29 00:44:12] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "150", "eta": "0:00:47", "mode": "val", "time_diff": 0.914350}
[03/29 00:44:23] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "160", "eta": "0:00:40", "mode": "val", "time_diff": 1.666837}
[03/29 00:44:36] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "170", "eta": "0:00:31", "mode": "val", "time_diff": 1.245646}
[03/29 00:44:45] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "180", "eta": "0:00:21", "mode": "val", "time_diff": 0.918971}
[03/29 00:44:57] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "190", "eta": "0:00:12", "mode": "val", "time_diff": 0.992951}
[03/29 00:45:09] pa.utils.logging INFO: json_stats: {"_type": "val_iter", "cur_epoch": "5", "cur_iter": "200", "eta": "0:00:02", "mode": "val", "time_diff": 1.207042}
[03/29 00:45:33] pa.utils.ava_eval_helper INFO: Evaluating with 12521 unique GT frames.
[03/29 00:45:33] pa.utils.ava_eval_helper INFO: Evaluating with 12880 unique detection frames
[03/29 00:45:44] pa.utils.ava_eval_helper INFO: AVA results wrote to /public/sist/home/hexm/Models/pyaction/model_logs/ava/c2d.ava.8x8.res50.short/detections_latest.csv
[03/29 00:45:44] pa.utils.ava_eval_helper INFO: 	took 10 seconds.
[03/29 00:45:44] pa.utils.ava_eval_helper INFO: AVA results wrote to /public/sist/home/hexm/Models/pyaction/model_logs/ava/c2d.ava.8x8.res50.short/groundtruth_latest.csv
[03/29 00:45:44] pa.utils.ava_eval_helper INFO: 	took 0 seconds.
[03/29 00:47:52] pa.utils.ava_eval_helper INFO:
{   'PascalBoxes_PerformanceByCategory/AP@0.5IOU/answer phone': 0.5818318880996192,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/bend/bow (at the waist)': 0.28634644938889353,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/carry/hold (an object)': 0.49937396071362455,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/climb (e.g., a mountain)': 0.005492173057116309,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/close (e.g., a door, a box)': 0.1079478348088395,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/crouch/kneel': 0.13177698866493145,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/cut': 0.0047545914317335325,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/dance': 0.3840013613544837,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/dress/put on clothing': 0.008302424250690015,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/drink': 0.21148180104185013,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/drive (e.g., a car, a truck)': 0.4097361602075096,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/eat': 0.19008118223501258,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/enter': 0.005081678044686655,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/fall down': 0.032881573985914445,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/fight/hit (a person)': 0.3153699867812839,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/get up': 0.0483086252338871,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/give/serve (an object) to (a person)': 0.014874972549648322,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/grab (a person)': 0.026149457228123344,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/hand clap': 0.022586086773048072,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/hand shake': 0.0544672055620196,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/hand wave': 0.0426696047343579,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/hit (an object)': 0.001297843707921568,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/hug (a person)': 0.10673963800798679,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/jump/leap': 0.00523602816620649,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/kiss (a person)': 0.20534940281429198,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/lie/sleep': 0.35150153964457087,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/lift (a person)': 0.006049500597247646,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/lift/pick up': 0.008335193208353743,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/listen (e.g., to music)': 0.009016607249006332,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/listen to (a person)': 0.515495113067188,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/martial art': 0.3835161752104652,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/open (e.g., a window, a car door)': 0.12259442428500507,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/play musical instrument': 0.3087535648269693,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/point to (an object)': 0.00040524171489920264,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/pull (an object)': 0.005164410809554153,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/push (an object)': 0.0051164808132064974,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/push (another person)': 0.006128769204015971,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/put down': 0.0047767669906836445,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/read': 0.1446954651635948,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/ride (e.g., a bike, a car, a horse)': 0.2736090873404685,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/run/jog': 0.2648070615564696,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/sail boat': 0.2778021330089839,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/shoot': 0.0004742260706503072,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/sing to (e.g., self, a person, a group)': 0.10953160597099246,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/sit': 0.7443493552856874,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/smoke': 0.11098250270860602,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/stand': 0.7741377454754585,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/swim': 0.34257037943696456,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/take (an object) from (a person)': 0.009345303586728679,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/take a photo': 0.0005182731868451059,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/talk to (e.g., self, a person, a group)': 0.6631148739522293,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/text on/look at a cellphone': 0.00879930483544889,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/throw': 0.004070494486447435,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/touch (an object)': 0.3398600507194446,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/turn (e.g., a screwdriver)': 0.003109121228662416,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/walk': 0.6240819251920217,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/watch (a person)': 0.6445915621285492,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/watch (e.g., TV)': 0.23092628001773763,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/work on a computer': 0.007628672083443741,
    'PascalBoxes_PerformanceByCategory/AP@0.5IOU/write': 0.018840785159686037,
    'PascalBoxes_Precision/mAP@0.5IOU': 0.18378064858433277}
[03/29 00:47:52] pa.utils.ava_eval_helper INFO: AVA eval done in 144.379875 seconds.
[03/29 00:47:52] pa.utils.logging INFO: json_stats: {"_type": "val_epoch", "cur_epoch": "5", "map": 0.183781, "mode": "val"}
[03/29 00:58:36] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "10", "eta": "1:15:25", "loss": 0.057066, "lr": 0.100000, "mode": "train", "time_backward": 0.492532, "time_data": 0.003989, "time_diff": 0.948130, "time_forward": 0.348884, "time_loss": 0.000263}
[03/29 00:58:53] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "20", "eta": "1:15:10", "loss": 0.055339, "lr": 0.100000, "mode": "train", "time_backward": 0.486540, "time_data": 0.003828, "time_diff": 0.945639, "time_forward": 0.349341, "time_loss": 0.000459}
[03/29 00:59:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "30", "eta": "1:14:55", "loss": 0.058745, "lr": 0.100000, "mode": "train", "time_backward": 0.486579, "time_data": 0.079821, "time_diff": 1.019671, "time_forward": 0.349428, "time_loss": 0.000709}
[03/29 00:59:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "40", "eta": "1:14:40", "loss": 0.059742, "lr": 0.100000, "mode": "train", "time_backward": 0.486584, "time_data": 0.003709, "time_diff": 0.947793, "time_forward": 0.349432, "time_loss": 0.000637}
[03/29 00:59:22] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "50", "eta": "1:14:25", "loss": 0.056824, "lr": 0.100000, "mode": "train", "time_backward": 0.485918, "time_data": 0.003667, "time_diff": 0.946116, "time_forward": 0.349308, "time_loss": 0.000589}
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[03/29 01:23:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "1010", "eta": "0:48:57", "loss": 0.057237, "lr": 0.100000, "mode": "train", "time_backward": 0.487302, "time_data": 0.003819, "time_diff": 0.947572, "time_forward": 0.348974, "time_loss": 0.000545}
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[03/29 01:34:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "1470", "eta": "0:36:38", "loss": 0.057375, "lr": 0.100000, "mode": "train", "time_backward": 0.485493, "time_data": 0.003682, "time_diff": 0.945708, "time_forward": 0.349280, "time_loss": 0.000402}
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[03/29 01:37:14] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "1580", "eta": "0:34:17", "loss": 0.054610, "lr": 0.100000, "mode": "train", "time_backward": 0.488963, "time_data": 0.003724, "time_diff": 0.944765, "time_forward": 0.348776, "time_loss": 0.000635}
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[03/29 01:49:51] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "6", "cur_iter": "2060", "eta": "0:22:54", "loss": 0.054813, "lr": 0.100000, "mode": "train", "time_backward": 0.486907, "time_data": 0.003621, "time_diff": 0.944710, "time_forward": 0.349246, "time_loss": 0.000268}
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[03/29 03:18:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2880", "eta": "0:02:43", "loss": 0.048791, "lr": 0.100000, "mode": "train", "time_backward": 0.486732, "time_data": 0.003833, "time_diff": 0.946290, "time_forward": 0.350016, "time_loss": 0.000428}
[03/29 03:18:51] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2890", "eta": "0:02:31", "loss": 0.049328, "lr": 0.100000, "mode": "train", "time_backward": 0.487677, "time_data": 0.003914, "time_diff": 0.945171, "time_forward": 0.350239, "time_loss": 0.000444}
[03/29 03:19:01] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2900", "eta": "0:02:20", "loss": 0.047983, "lr": 0.100000, "mode": "train", "time_backward": 0.487747, "time_data": 0.003863, "time_diff": 0.945266, "time_forward": 0.349622, "time_loss": 0.000356}
[03/29 03:19:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2910", "eta": "0:02:08", "loss": 0.048018, "lr": 0.100000, "mode": "train", "time_backward": 0.487806, "time_data": 0.003635, "time_diff": 0.955624, "time_forward": 0.349556, "time_loss": 0.000490}
[03/29 03:19:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2920", "eta": "0:01:57", "loss": 0.050403, "lr": 0.100000, "mode": "train", "time_backward": 0.488914, "time_data": 0.003873, "time_diff": 0.945390, "time_forward": 0.349741, "time_loss": 0.000491}
[03/29 03:19:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2930", "eta": "0:01:45", "loss": 0.051981, "lr": 0.100000, "mode": "train", "time_backward": 0.486393, "time_data": 0.005475, "time_diff": 1.015395, "time_forward": 0.421056, "time_loss": 0.000281}
[03/29 03:19:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2940", "eta": "0:01:33", "loss": 0.050617, "lr": 0.100000, "mode": "train", "time_backward": 0.501027, "time_data": 0.003741, "time_diff": 0.945906, "time_forward": 0.349955, "time_loss": 0.000354}
[03/29 03:19:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2950", "eta": "0:01:22", "loss": 0.048237, "lr": 0.100000, "mode": "train", "time_backward": 0.485640, "time_data": 0.003831, "time_diff": 0.949117, "time_forward": 0.356906, "time_loss": 0.000294}
[03/29 03:19:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2960", "eta": "0:01:10", "loss": 0.050077, "lr": 0.100000, "mode": "train", "time_backward": 0.486879, "time_data": 0.003733, "time_diff": 1.020581, "time_forward": 0.426099, "time_loss": 0.000340}
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[03/29 03:20:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2980", "eta": "0:00:47", "loss": 0.050541, "lr": 0.100000, "mode": "train", "time_backward": 0.487655, "time_data": 0.003730, "time_diff": 0.945710, "time_forward": 0.349911, "time_loss": 0.000303}
[03/29 03:20:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "2990", "eta": "0:00:35", "loss": 0.050447, "lr": 0.100000, "mode": "train", "time_backward": 0.486380, "time_data": 0.003735, "time_diff": 0.945331, "time_forward": 0.349676, "time_loss": 0.000227}
[03/29 03:20:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "3000", "eta": "0:00:24", "loss": 0.047359, "lr": 0.100000, "mode": "train", "time_backward": 0.488713, "time_data": 0.003612, "time_diff": 0.952434, "time_forward": 0.349859, "time_loss": 0.000582}
[03/29 03:20:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "3010", "eta": "0:00:12", "loss": 0.050284, "lr": 0.100000, "mode": "train", "time_backward": 0.486791, "time_data": 0.003799, "time_diff": 0.943371, "time_forward": 0.349997, "time_loss": 0.000381}
[03/29 03:20:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "7", "cur_iter": "3020", "eta": "0:00:01", "loss": 0.050354, "lr": 0.100000, "mode": "train", "time_backward": 0.485968, "time_data": 0.003450, "time_diff": 0.940810, "time_forward": 0.347741, "time_loss": 0.000862}
[03/29 18:57:31] pyaction INFO: Start epoch: 8
[03/29 19:08:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "10", "eta": "1:06:20", "loss": 0.048063, "lr": 0.100000, "mode": "train", "time_backward": 0.644966, "time_data": 0.004085, "time_diff": 1.321844, "time_forward": 0.468227, "time_loss": 0.000698}
[03/29 19:08:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "20", "eta": "0:58:15", "loss": 0.049585, "lr": 0.100000, "mode": "train", "time_backward": 0.585825, "time_data": 0.003822, "time_diff": 1.007384, "time_forward": 0.287429, "time_loss": 0.000513}
[03/29 19:08:37] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "30", "eta": "1:01:04", "loss": 0.049301, "lr": 0.100000, "mode": "train", "time_backward": 0.642849, "time_data": 0.004067, "time_diff": 1.346332, "time_forward": 0.558448, "time_loss": 0.000328}
[03/29 19:08:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "40", "eta": "1:03:21", "loss": 0.051125, "lr": 0.100000, "mode": "train", "time_backward": 0.709087, "time_data": 0.003774, "time_diff": 1.425495, "time_forward": 0.574716, "time_loss": 0.004048}
[03/29 19:09:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "50", "eta": "1:03:25", "loss": 0.052567, "lr": 0.100000, "mode": "train", "time_backward": 0.767762, "time_data": 0.003731, "time_diff": 1.303265, "time_forward": 0.321667, "time_loss": 0.004309}
[03/29 19:09:16] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "60", "eta": "1:03:25", "loss": 0.049932, "lr": 0.100000, "mode": "train", "time_backward": 0.742433, "time_data": 0.004011, "time_diff": 1.307463, "time_forward": 0.353466, "time_loss": 0.004436}
[03/29 19:09:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "70", "eta": "1:03:53", "loss": 0.048006, "lr": 0.100000, "mode": "train", "time_backward": 0.800084, "time_data": 0.003801, "time_diff": 1.380809, "time_forward": 0.362574, "time_loss": 0.000338}
[03/29 19:09:44] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "80", "eta": "1:03:44", "loss": 0.051429, "lr": 0.100000, "mode": "train", "time_backward": 0.724328, "time_data": 0.003694, "time_diff": 1.311835, "time_forward": 0.361288, "time_loss": 0.000368}
[03/29 19:09:57] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "90", "eta": "1:03:45", "loss": 0.049476, "lr": 0.100000, "mode": "train", "time_backward": 0.878455, "time_data": 0.004219, "time_diff": 1.342351, "time_forward": 0.335519, "time_loss": 0.000562}
[03/29 19:10:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "100", "eta": "1:04:30", "loss": 0.048506, "lr": 0.100000, "mode": "train", "time_backward": 0.640626, "time_data": 0.003706, "time_diff": 1.504610, "time_forward": 0.364879, "time_loss": 0.002612}
[03/29 19:10:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "110", "eta": "1:03:46", "loss": 0.049097, "lr": 0.100000, "mode": "train", "time_backward": 0.645259, "time_data": 0.004085, "time_diff": 1.206642, "time_forward": 0.387469, "time_loss": 0.000775}
[03/29 19:10:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "120", "eta": "1:03:44", "loss": 0.049612, "lr": 0.100000, "mode": "train", "time_backward": 0.810633, "time_data": 0.004184, "time_diff": 1.361189, "time_forward": 0.360021, "time_loss": 0.000789}
[03/29 19:10:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "130", "eta": "1:03:28", "loss": 0.048974, "lr": 0.100000, "mode": "train", "time_backward": 0.667925, "time_data": 0.003824, "time_diff": 1.308321, "time_forward": 0.520077, "time_loss": 0.000617}
[03/29 19:11:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "140", "eta": "1:02:56", "loss": 0.049095, "lr": 0.100000, "mode": "train", "time_backward": 0.643014, "time_data": 0.004274, "time_diff": 1.221990, "time_forward": 0.430213, "time_loss": 0.000548}
[03/29 19:11:15] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "150", "eta": "1:02:19", "loss": 0.048894, "lr": 0.100000, "mode": "train", "time_backward": 0.660782, "time_data": 0.007845, "time_diff": 1.186957, "time_forward": 0.295306, "time_loss": 0.000527}
[03/29 19:11:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "160", "eta": "1:01:48", "loss": 0.049302, "lr": 0.100000, "mode": "train", "time_backward": 0.739017, "time_data": 0.003678, "time_diff": 1.203491, "time_forward": 0.338464, "time_loss": 0.004486}
[03/29 19:11:40] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "170", "eta": "1:01:47", "loss": 0.050571, "lr": 0.100000, "mode": "train", "time_backward": 0.670279, "time_data": 0.003700, "time_diff": 1.369972, "time_forward": 0.577631, "time_loss": 0.000411}
[03/29 19:11:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "180", "eta": "1:01:19", "loss": 0.049722, "lr": 0.100000, "mode": "train", "time_backward": 0.658445, "time_data": 0.004078, "time_diff": 1.202491, "time_forward": 0.414184, "time_loss": 0.000796}
[03/29 19:12:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "190", "eta": "1:01:08", "loss": 0.048555, "lr": 0.100000, "mode": "train", "time_backward": 0.643304, "time_data": 0.003821, "time_diff": 1.305823, "time_forward": 0.518863, "time_loss": 0.000553}
[03/29 19:12:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "200", "eta": "1:00:52", "loss": 0.049247, "lr": 0.100000, "mode": "train", "time_backward": 0.647274, "time_data": 0.004441, "time_diff": 1.274936, "time_forward": 0.503758, "time_loss": 0.000569}
[03/29 19:12:34] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "210", "eta": "1:00:43", "loss": 0.053248, "lr": 0.100000, "mode": "train", "time_backward": 0.880927, "time_data": 0.004834, "time_diff": 1.328340, "time_forward": 0.300149, "time_loss": 0.000411}
[03/29 19:12:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "220", "eta": "1:00:24", "loss": 0.048039, "lr": 0.100000, "mode": "train", "time_backward": 0.616352, "time_data": 0.003924, "time_diff": 1.248299, "time_forward": 0.505013, "time_loss": 0.004668}
[03/29 19:13:00] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "230", "eta": "1:00:20", "loss": 0.047766, "lr": 0.100000, "mode": "train", "time_backward": 0.832967, "time_data": 0.003783, "time_diff": 1.365557, "time_forward": 0.381703, "time_loss": 0.000786}
[03/29 19:13:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "240", "eta": "1:00:01", "loss": 0.049977, "lr": 0.100000, "mode": "train", "time_backward": 0.646432, "time_data": 0.004134, "time_diff": 1.248552, "time_forward": 0.481300, "time_loss": 0.000589}
[03/29 19:13:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "250", "eta": "0:59:56", "loss": 0.048579, "lr": 0.100000, "mode": "train", "time_backward": 0.726957, "time_data": 0.003888, "time_diff": 1.365724, "time_forward": 0.376934, "time_loss": 0.000799}
[03/29 19:13:41] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "260", "eta": "0:59:47", "loss": 0.049791, "lr": 0.100000, "mode": "train", "time_backward": 0.766898, "time_data": 0.004052, "time_diff": 1.337598, "time_forward": 0.353916, "time_loss": 0.005012}
[03/29 19:13:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "270", "eta": "0:59:37", "loss": 0.049583, "lr": 0.100000, "mode": "train", "time_backward": 0.655079, "time_data": 0.003900, "time_diff": 1.329349, "time_forward": 0.473106, "time_loss": 0.004861}
[03/29 19:14:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "280", "eta": "0:59:15", "loss": 0.048982, "lr": 0.100000, "mode": "train", "time_backward": 0.644327, "time_data": 0.004124, "time_diff": 1.202032, "time_forward": 0.423782, "time_loss": 0.000920}
[03/29 19:14:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "290", "eta": "0:58:50", "loss": 0.050429, "lr": 0.100000, "mode": "train", "time_backward": 0.649215, "time_data": 0.007612, "time_diff": 1.174587, "time_forward": 0.283601, "time_loss": 0.000386}
[03/29 19:14:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "300", "eta": "0:58:07", "loss": 0.048082, "lr": 0.100000, "mode": "train", "time_backward": 0.498681, "time_data": 0.003692, "time_diff": 0.953601, "time_forward": 0.355311, "time_loss": 0.000531}
[03/29 19:14:41] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "310", "eta": "0:57:16", "loss": 0.050586, "lr": 0.100000, "mode": "train", "time_backward": 0.484012, "time_data": 0.014076, "time_diff": 0.849851, "time_forward": 0.248454, "time_loss": 0.000382}
[03/29 19:14:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "320", "eta": "0:56:28", "loss": 0.049061, "lr": 0.100000, "mode": "train", "time_backward": 0.492403, "time_data": 0.003728, "time_diff": 0.852782, "time_forward": 0.248878, "time_loss": 0.000298}
[03/29 19:14:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "330", "eta": "0:55:42", "loss": 0.048645, "lr": 0.100000, "mode": "train", "time_backward": 0.483754, "time_data": 0.003968, "time_diff": 0.842004, "time_forward": 0.248591, "time_loss": 0.000749}
[03/29 19:15:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "340", "eta": "0:54:59", "loss": 0.048044, "lr": 0.100000, "mode": "train", "time_backward": 0.483620, "time_data": 0.003881, "time_diff": 0.847067, "time_forward": 0.248815, "time_loss": 0.000484}
[03/29 19:15:15] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "350", "eta": "0:54:17", "loss": 0.048896, "lr": 0.100000, "mode": "train", "time_backward": 0.485292, "time_data": 0.003947, "time_diff": 0.844010, "time_forward": 0.248533, "time_loss": 0.000884}
[03/29 19:15:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "360", "eta": "0:53:37", "loss": 0.051115, "lr": 0.100000, "mode": "train", "time_backward": 0.487148, "time_data": 0.004245, "time_diff": 0.844218, "time_forward": 0.248911, "time_loss": 0.000360}
[03/29 19:15:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "370", "eta": "0:52:58", "loss": 0.048185, "lr": 0.100000, "mode": "train", "time_backward": 0.483300, "time_data": 0.004016, "time_diff": 0.841399, "time_forward": 0.249072, "time_loss": 0.000490}
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[03/29 19:15:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "390", "eta": "0:51:47", "loss": 0.051149, "lr": 0.100000, "mode": "train", "time_backward": 0.485112, "time_data": 0.003798, "time_diff": 0.843477, "time_forward": 0.248662, "time_loss": 0.000636}
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[03/29 19:16:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "8", "cur_iter": "410", "eta": "0:50:56", "loss": 0.049602, "lr": 0.100000, "mode": "train", "time_backward": 0.487097, "time_data": 0.004057, "time_diff": 0.843116, "time_forward": 0.249148, "time_loss": 0.000560}
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