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tonysy/slowfast.ava.32x2.res50.short_train_log.txt

Created April 1, 2020 06:21
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slowfast.ava.32x2.res50.short_train_log.txt
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[03/27 20:46:20] pyaction INFO: Running with full config:
{'AVA': {'ANNOTATION_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/annotations/',
'BGR': False,
'DETECTION_SCORE_THRESH': 0.8,
'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, 3],
'MEAN': [0.45, 0.45, 0.45],
'NUM_FRAMES': 32,
'PATH_PREFIX': '',
'PATH_TO_DATA_DIR': '',
'SAMPLING_RATE': 2,
'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': 16,
'PIN_MEMORY': True},
'DETECTION': {'ALIGNED': True,
'ENABLE': True,
'ROI_XFORM_RESOLUTION': 7,
'SPATIAL_SCALE_FACTOR': 16},
'DIST_BACKEND': 'nccl',
'LOG_PERIOD': 10,
'MODEL': {'ARCH': 'slowfast',
'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], [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/slowfast.ava.32x2.res50.short',
'RESNET': {'DEPTH': 50,
'INPLACE_RELU': True,
'NUM_BLOCK_TEMP_KERNEL': [[3, 3], [4, 4], [6, 6], [3, 3]],
'NUM_GROUPS': 1,
'SPATIAL_DILATIONS': [[1, 1], [1, 1], [1, 1], [2, 2]],
'SPATIAL_STRIDES': [[1, 1], [2, 2], [2, 2], [1, 1]],
'STRIDE_1X1': False,
'TRANS_FUNC': 'bottleneck_transform',
'WIDTH_PER_GROUP': 64,
'ZERO_INIT_FINAL_BN': True},
'RNG_SEED': 0,
'SHARD_ID': 0,
'SLOWFAST': {'ALPHA': 4,
'BETA_INV': 8,
'FUSION_CONV_CHANNEL_RATIO': 2,
'FUSION_KERNEL_SZ': 7},
'SOLVER': {'BASE_LR': 0.05,
'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': 32,
'CHECKPOINT_FILE_PATH': '/public/sist/home/hexm/Projects/pyaction/model_zoo/ava/pretrain/SLOWFAST_8x8_R50.pkl',
'CHECKPOINT_INFLATE': False,
'CHECKPOINT_PERIOD': 1,
'CHECKPOINT_TYPE': 'caffe2',
'DATASET': 'ava',
'ENABLE': True,
'EVAL_PERIOD': 5}}
[03/27 20:46:20] pyaction INFO: different config with base class:
{'AVA': {'ANNOTATION_DIR': '/public/sist/home/hexm/Projects/pyaction/data/ava/annotations/',
'BGR': False,
'DETECTION_SCORE_THRESH': 0.8,
'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': {'NUM_FRAMES': 32, 'SAMPLING_RATE': 2},
'DATA_LOADER': {'NUM_WORKERS': 16},
'DETECTION': {'ALIGNED': True,
'ENABLE': True,
'ROI_XFORM_RESOLUTION': 7,
'SPATIAL_SCALE_FACTOR': 16},
'MODEL': {'LOSS_FUNC': 'bce', 'NUM_CLASSES': 80},
'NONLOCAL': {'GROUP': [[1, 1], [1, 1], [1, 1], [1, 1]],
'LOCATION': [[[], []], [[], []], [[], []], [[], []]]},
'NUM_GPUS': 4,
'OUTPUT_DIR': '/public/sist/home/hexm/Models/pyaction/model_logs/ava/slowfast.ava.32x2.res50.short',
'RESNET': {'NUM_BLOCK_TEMP_KERNEL': [[3, 3], [4, 4], [6, 6], [3, 3]],
'SPATIAL_DILATIONS': [[1, 1], [1, 1], [1, 1], [2, 2]],
'SPATIAL_STRIDES': [[1, 1], [2, 2], [2, 2], [1, 1]],
'ZERO_INIT_FINAL_BN': True},
'RNG_SEED': 0,
'SLOWFAST': {'ALPHA': 4,
'BETA_INV': 8,
'FUSION_CONV_CHANNEL_RATIO': 2,
'FUSION_KERNEL_SZ': 7},
'SOLVER': {'BASE_LR': 0.05,
'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': {'BATCH_SIZE': 32,
'CHECKPOINT_FILE_PATH': '/public/sist/home/hexm/Projects/pyaction/model_zoo/ava/pretrain/SLOWFAST_8x8_R50.pkl',
'CHECKPOINT_TYPE': 'caffe2',
'DATASET': 'ava',
'EVAL_PERIOD': 5}}
[03/27 20:46:54] pa.utils.misc INFO: Model:
SlowFastModel(
(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)
)
(pathway1_stem): ResNetBasicStem(
(conv): Conv3d(3, 8, kernel_size=[5, 7, 7], stride=[1, 2, 2], padding=[2, 3, 3], bias=False)
(bn): BatchNorm3d(8, 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)
)
)
(s1_fuse): FuseFastToSlow(
(conv_f2s): Conv3d(8, 16, kernel_size=[7, 1, 1], stride=[4, 1, 1], padding=[3, 0, 0], bias=False)
(bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(s2): ResStage(
(pathway0_res0): ResBlock(
(branch1): Conv3d(80, 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(80, 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)
)
(pathway1_res0): ResBlock(
(branch1): Conv3d(8, 32, kernel_size=(1, 1, 1), stride=[1, 1, 1], bias=False)
(branch1_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(branch2): BottleneckTransform(
(a): Conv3d(8, 8, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(8, 8, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(8, 32, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res1): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(32, 8, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(8, 8, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(8, 32, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res2): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(32, 8, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(8, 8, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(8, 32, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
)
(s2_fuse): FuseFastToSlow(
(conv_f2s): Conv3d(32, 64, kernel_size=[7, 1, 1], stride=[4, 1, 1], padding=[3, 0, 0], bias=False)
(bn): BatchNorm3d(64, 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)
(pathway1_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(320, 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(320, 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)
)
(pathway1_res0): ResBlock(
(branch1): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=[1, 2, 2], bias=False)
(branch1_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(branch2): BottleneckTransform(
(a): Conv3d(32, 16, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(16, 16, kernel_size=[1, 3, 3], stride=[1, 2, 2], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(16, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res1): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(64, 16, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(16, 16, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(16, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res2): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(64, 16, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(16, 16, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(16, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res3): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(64, 16, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(16, 16, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(16, 64, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
)
(s3_fuse): FuseFastToSlow(
(conv_f2s): Conv3d(64, 128, kernel_size=[7, 1, 1], stride=[4, 1, 1], padding=[3, 0, 0], bias=False)
(bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(s4): ResStage(
(pathway0_res0): ResBlock(
(branch1): Conv3d(640, 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(640, 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)
)
(pathway1_res0): ResBlock(
(branch1): Conv3d(64, 128, kernel_size=(1, 1, 1), stride=[1, 2, 2], bias=False)
(branch1_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(branch2): BottleneckTransform(
(a): Conv3d(64, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 2, 2], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res1): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(128, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res2): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(128, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res3): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(128, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res4): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(128, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
(pathway1_res5): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(128, 32, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 0, 0], bias=False)
(a_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(a_relu): ReLU(inplace=True)
(b): Conv3d(32, 32, kernel_size=[1, 3, 3], stride=[1, 1, 1], padding=[0, 1, 1], dilation=[1, 1, 1], bias=False)
(b_bn): BatchNorm3d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(b_relu): ReLU(inplace=True)
(c): Conv3d(32, 128, kernel_size=[1, 1, 1], stride=[1, 1, 1], padding=[0, 0, 0], bias=False)
(c_bn): BatchNorm3d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
(relu): ReLU(inplace=True)
)
)
(s4_fuse): FuseFastToSlow(
(conv_f2s): Conv3d(128, 256, kernel_size=[7, 1, 1], stride=[4, 1, 1], padding=[3, 0, 0], bias=False)
(bn): BatchNorm3d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(s5): ResStage(
(pathway0_res0): ResBlock(
(branch1): Conv3d(1280, 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(1280, 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)
)
(pathway1_res0): ResBlock(
(branch1): Conv3d(128, 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(128, 64, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 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, 2, 2], dilation=[1, 2, 2], 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)
)
(pathway1_res1): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(256, 64, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 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, 2, 2], dilation=[1, 2, 2], 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)
)
(pathway1_res2): ResBlock(
(branch2): BottleneckTransform(
(a): Conv3d(256, 64, kernel_size=[3, 1, 1], stride=[1, 1, 1], padding=[1, 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, 2, 2], dilation=[1, 2, 2], 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)
)
)
(head): ResNetRoIHead(
(s0_tpool): AvgPool3d(kernel_size=[8, 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)
(s1_tpool): AvgPool3d(kernel_size=[32, 1, 1], stride=1, padding=0)
(s1_roi): ROIAlign(output_size=[7, 7], spatial_scale=0.0625, sampling_ratio=0, aligned=True)
(s1_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=2304, out_features=80, bias=True)
(act): Sigmoid()
)
)
[03/27 20:46:54] pa.utils.misc INFO: Params: 33,828,888
[03/27 20:46:54] pa.utils.misc INFO: Mem: 260.05322265625 MB
[03/27 20:46:54] pa.utils.misc INFO: FLOPs: 74.18038272 GFLOPs
[03/27 20:46:54] pa.utils.misc INFO: nvidia-smi
[03/27 20:46:54] pyaction INFO: Load from given checkpoint file.
[03/27 20:46:55] pa.utils.checkpoint INFO: res_conv1_bn_b: (64,) => s1.pathway0_stem.bn.bias: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_2_branch2a_bn_riv: (512,) => s5.pathway0_res2.branch2.a_bn.running_var: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_1_branch2c_bn_riv: (128,) => s4.pathway1_res1.branch2.c_bn.running_var: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_2_branch2b_bn_rm: (16,) => s3.pathway1_res2.branch2.b_bn.running_mean: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res_conv1_bn_s: (64,) => s1.pathway0_stem.bn.weight: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_3_branch2b_bn_riv: (16,) => s3.pathway1_res3.branch2.b_bn.running_var: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_4_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res4.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_1_branch2b_w: (8, 8, 1, 3, 3) => s2.pathway1_res1.branch2.b.weight: (8, 8, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_1_branch2b_bn_riv: (64,) => s5.pathway1_res1.branch2.b_bn.running_var: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_2_branch2a_bn_riv: (32,) => s4.pathway1_res2.branch2.a_bn.running_var: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_1_branch2c_bn_s: (512,) => s3.pathway0_res1.branch2.c_bn.weight: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_1_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res1.branch2.b.weight: (512, 512, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_0_branch2a_bn_riv: (128,) => s3.pathway0_res0.branch2.a_bn.running_var: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_2_branch2a_bn_rm: (8,) => s2.pathway1_res2.branch2.a_bn.running_mean: (8,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_0_branch1_bn_rm: (256,) => s5.pathway1_res0.branch1_bn.running_mean: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_1_branch2b_bn_rm: (8,) => s2.pathway1_res1.branch2.b_bn.running_mean: (8,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_riv: (64,) => s3.pathway1_res3.branch2.c_bn.running_var: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res2_2_branch2b_bn_rm: (64,) => s2.pathway0_res2.branch2.b_bn.running_mean: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_3_branch2c_bn_rm: (128,) => s4.pathway1_res3.branch2.c_bn.running_mean: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_3_branch2c_bn_riv: (512,) => s3.pathway0_res3.branch2.c_bn.running_var: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_0_branch2c_bn_riv: (2048,) => s5.pathway0_res0.branch2.c_bn.running_var: (2048,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_2_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res2.branch2.a.weight: (128, 512, 1, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_5_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res5.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_0_branch1_bn_b: (512,) => s3.pathway0_res0.branch1_bn.bias: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_pool1_subsample_bn_rm: (16,) => s1_fuse.bn.running_mean: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_2_branch2c_bn_riv: (256,) => s5.pathway1_res2.branch2.c_bn.running_var: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_2_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res2.branch2.c.weight: (512, 128, 1, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: res2_2_branch2a_bn_riv: (64,) => s2.pathway0_res2.branch2.a_bn.running_var: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_2_branch2a_bn_rm: (512,) => s5.pathway0_res2.branch2.a_bn.running_mean: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_2_branch2b_bn_b: (16,) => s3.pathway1_res2.branch2.b_bn.bias: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_1_branch2a_bn_b: (16,) => s3.pathway1_res1.branch2.a_bn.bias: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_5_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res5.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_0_branch2c_bn_riv: (256,) => s5.pathway1_res0.branch2.c_bn.running_var: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_0_branch2a_w: (8, 8, 3, 1, 1) => s2.pathway1_res0.branch2.a.weight: (8, 8, 3, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_2_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res2.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: res2_2_branch2a_bn_b: (64,) => s2.pathway0_res2.branch2.a_bn.bias: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_2_branch2c_bn_rm: (256,) => s5.pathway1_res2.branch2.c_bn.running_mean: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res2_2_branch2a_bn_s: (64,) => s2.pathway0_res2.branch2.a_bn.weight: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_1_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res1.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_1_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res1.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_2_branch2a_bn_s: (64,) => s5.pathway1_res2.branch2.a_bn.weight: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_0_branch2c_bn_s: (128,) => s4.pathway1_res0.branch2.c_bn.weight: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_1_branch2c_bn_rm: (2048,) => s5.pathway0_res1.branch2.c_bn.running_mean: (2048,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_2_branch2a_bn_b: (64,) => s5.pathway1_res2.branch2.a_bn.bias: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_0_branch2c_bn_riv: (64,) => s3.pathway1_res0.branch2.c_bn.running_var: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_0_branch2c_bn_b: (128,) => s4.pathway1_res0.branch2.c_bn.bias: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_0_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res0.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_2_branch2c_bn_rm: (128,) => s4.pathway1_res2.branch2.c_bn.running_mean: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_1_branch2b_bn_riv: (32,) => s4.pathway1_res1.branch2.b_bn.running_var: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_2_branch2a_bn_b: (128,) => s3.pathway0_res2.branch2.a_bn.bias: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_1_branch2b_bn_b: (8,) => s2.pathway1_res1.branch2.b_bn.bias: (8,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_4_branch2b_bn_b: (256,) => s4.pathway0_res4.branch2.b_bn.bias: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_0_branch1_bn_rm: (128,) => s4.pathway1_res0.branch1_bn.running_mean: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res5_0_branch2b_bn_riv: (64,) => s5.pathway1_res0.branch2.b_bn.running_var: (64,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_1_branch2c_bn_b: (512,) => s3.pathway0_res1.branch2.c_bn.bias: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_0_branch2c_bn_riv: (1024,) => s4.pathway0_res0.branch2.c_bn.running_var: (1024,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_1_branch2a_bn_s: (32,) => s4.pathway1_res1.branch2.a_bn.weight: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_3_branch2b_bn_riv: (128,) => s3.pathway0_res3.branch2.b_bn.running_var: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_1_branch2a_bn_riv: (512,) => s5.pathway0_res1.branch2.a_bn.running_var: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_4_branch2b_bn_s: (256,) => s4.pathway0_res4.branch2.b_bn.weight: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_0_branch1_bn_rm: (2048,) => s5.pathway0_res0.branch1_bn.running_mean: (2048,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_1_branch2a_bn_b: (32,) => s4.pathway1_res1.branch2.a_bn.bias: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_subsample_bn_s: (128,) => s3_fuse.bn.weight: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_4_branch2a_bn_rm: (256,) => s4.pathway0_res4.branch2.a_bn.running_mean: (256,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res3_0_branch1_w: (512, 320, 1, 1, 1) => s3.pathway0_res0.branch1.weight: (512, 320, 1, 1, 1)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_0_branch2b_bn_rm: (16,) => s3.pathway1_res0.branch2.b_bn.running_mean: (16,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_subsample_bn_b: (128,) => s3_fuse.bn.bias: (128,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res5_0_branch2a_bn_riv: (512,) => s5.pathway0_res0.branch2.a_bn.running_var: (512,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res4_4_branch2a_bn_riv: (32,) => s4.pathway1_res4.branch2.a_bn.running_var: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: res4_5_branch2c_bn_riv: (1024,) => s4.pathway0_res5.branch2.c_bn.running_var: (1024,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_0_branch2c_bn_riv: (32,) => s2.pathway1_res0.branch2.c_bn.running_var: (32,)
[03/27 20:46:55] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_s: (32,) => s2.pathway1_res2.branch2.c_bn.weight: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_3_branch2a_bn_riv: (32,) => s4.pathway1_res3.branch2.a_bn.running_var: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2a_bn_s: (32,) => s4.pathway1_res5.branch2.a_bn.weight: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_0_branch2b_bn_b: (8,) => s2.pathway1_res0.branch2.b_bn.bias: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_b: (32,) => s2.pathway1_res2.branch2.c_bn.bias: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_4_branch2b_bn_rm: (32,) => s4.pathway1_res4.branch2.b_bn.running_mean: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_2_branch2b_bn_b: (8,) => s2.pathway1_res2.branch2.b_bn.bias: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_0_branch1_bn_rm: (512,) => s3.pathway0_res0.branch1_bn.running_mean: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_1_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res1.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_1_branch2c_bn_riv: (256,) => s2.pathway0_res1.branch2.c_bn.running_var: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_2_branch2b_w: (64, 64, 1, 3, 3) => s5.pathway1_res2.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_0_branch2c_w: (32, 8, 1, 1, 1) => s2.pathway1_res0.branch2.c.weight: (32, 8, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_5_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res5.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_3_branch2c_bn_b: (512,) => s3.pathway0_res3.branch2.c_bn.bias: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2c_bn_rm: (64,) => s3.pathway1_res2.branch2.c_bn.running_mean: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_0_branch1_bn_riv: (128,) => s4.pathway1_res0.branch1_bn.running_var: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_1_branch2b_bn_b: (64,) => s5.pathway1_res1.branch2.b_bn.bias: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_1_branch2b_w: (64, 64, 1, 3, 3) => s5.pathway1_res1.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_3_branch2c_bn_s: (512,) => s3.pathway0_res3.branch2.c_bn.weight: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_2_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res2.branch2.b.weight: (128, 128, 1, 3, 3)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2a_w: (512, 2048, 3, 1, 1) => s5.pathway0_res1.branch2.a.weight: (512, 2048, 3, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_3_branch2a_bn_riv: (16,) => s3.pathway1_res3.branch2.a_bn.running_var: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_2_branch2c_w: (32, 8, 1, 1, 1) => s2.pathway1_res2.branch2.c.weight: (32, 8, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_subsample_bn_b: (256,) => s4_fuse.bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_5_branch2b_bn_b: (256,) => s4.pathway0_res5.branch2.b_bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2a_bn_riv: (16,) => s3.pathway1_res2.branch2.a_bn.running_var: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_2_branch2a_w: (8, 32, 3, 1, 1) => s2.pathway1_res2.branch2.a.weight: (8, 32, 3, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_0_branch1_bn_s: (256,) => s2.pathway0_res0.branch1_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_0_branch2b_bn_s: (8,) => s2.pathway1_res0.branch2.b_bn.weight: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_subsample_bn_s: (256,) => s4_fuse.bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_5_branch2b_bn_s: (256,) => s4.pathway0_res5.branch2.b_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_1_branch2b_bn_rm: (16,) => s3.pathway1_res1.branch2.b_bn.running_mean: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_2_branch2b_bn_riv: (64,) => s5.pathway1_res2.branch2.b_bn.running_var: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_4_branch2c_bn_b: (1024,) => s4.pathway0_res4.branch2.c_bn.bias: (1024,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2c_bn_b: (32,) => s2.pathway1_res1.branch2.c_bn.bias: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_3_branch2b_bn_s: (128,) => s3.pathway0_res3.branch2.b_bn.weight: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2c_bn_riv: (64,) => s3.pathway1_res2.branch2.c_bn.running_var: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_1_branch2a_bn_rm: (64,) => s2.pathway0_res1.branch2.a_bn.running_mean: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_subsample_bn_rm: (256,) => s4_fuse.bn.running_mean: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2b_bn_b: (512,) => s5.pathway0_res1.branch2.b_bn.bias: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_1_branch2a_bn_riv: (128,) => s3.pathway0_res1.branch2.a_bn.running_var: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2b_bn_s: (512,) => s5.pathway0_res1.branch2.b_bn.weight: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_4_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res4.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2c_w: (32, 8, 1, 1, 1) => s2.pathway1_res1.branch2.c.weight: (32, 8, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_0_branch1_w: (256, 128, 1, 1, 1) => s5.pathway1_res0.branch1.weight: (256, 128, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_2_branch2c_bn_riv: (256,) => s2.pathway0_res2.branch2.c_bn.running_var: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_subsample_w: (256, 128, 7, 1, 1) => s4_fuse.conv_f2s.weight: (256, 128, 7, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_3_branch2b_bn_rm: (256,) => s4.pathway0_res3.branch2.b_bn.running_mean: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res_conv1_bn_rm: (8,) => s1.pathway1_stem.bn.running_mean: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2b_bn_riv: (16,) => s3.pathway1_res2.branch2.b_bn.running_var: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_2_branch2c_bn_b: (1024,) => s4.pathway0_res2.branch2.c_bn.bias: (1024,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_3_branch2a_bn_riv: (128,) => s3.pathway0_res3.branch2.a_bn.running_var: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_1_branch2a_w: (16, 64, 3, 1, 1) => s3.pathway1_res1.branch2.a.weight: (16, 64, 3, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_2_branch2a_w: (64, 256, 1, 1, 1) => s2.pathway0_res2.branch2.a.weight: (64, 256, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_0_branch2c_bn_riv: (256,) => s2.pathway0_res0.branch2.c_bn.running_var: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_0_branch2b_bn_riv: (64,) => s2.pathway0_res0.branch2.b_bn.running_var: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_2_branch2b_bn_riv: (512,) => s5.pathway0_res2.branch2.b_bn.running_var: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_4_branch2a_bn_rm: (32,) => s4.pathway1_res4.branch2.a_bn.running_mean: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_0_branch2a_bn_s: (32,) => s4.pathway1_res0.branch2.a_bn.weight: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_4_branch2a_bn_s: (32,) => s4.pathway1_res4.branch2.a_bn.weight: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_1_branch2c_w: (64, 16, 1, 1, 1) => s3.pathway1_res1.branch2.c.weight: (64, 16, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_3_branch2b_bn_rm: (32,) => s4.pathway1_res3.branch2.b_bn.running_mean: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_1_branch2a_bn_s: (256,) => s4.pathway0_res1.branch2.a_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_1_branch2c_bn_b: (256,) => s2.pathway0_res1.branch2.c_bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_2_branch2b_bn_b: (128,) => s3.pathway0_res2.branch2.b_bn.bias: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_1_branch2b_bn_s: (128,) => s3.pathway0_res1.branch2.b_bn.weight: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_1_branch2a_bn_b: (256,) => s4.pathway0_res1.branch2.a_bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_1_branch2a_bn_b: (128,) => s3.pathway0_res1.branch2.a_bn.bias: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2a_w: (8, 32, 3, 1, 1) => s2.pathway1_res1.branch2.a.weight: (8, 32, 3, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_1_branch2c_bn_s: (256,) => s2.pathway0_res1.branch2.c_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2b_bn_rm: (32,) => s4.pathway1_res5.branch2.b_bn.running_mean: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res3_2_branch2b_bn_s: (128,) => s3.pathway0_res2.branch2.b_bn.weight: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2a_bn_rm: (16,) => s3.pathway1_res2.branch2.a_bn.running_mean: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2c_bn_s: (32,) => s2.pathway1_res1.branch2.c_bn.weight: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_2_branch2c_bn_riv: (2048,) => s5.pathway0_res2.branch2.c_bn.running_var: (2048,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2c_bn_s: (2048,) => s5.pathway0_res1.branch2.c_bn.weight: (2048,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_3_branch2a_bn_rm: (32,) => s4.pathway1_res3.branch2.a_bn.running_mean: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2c_bn_b: (2048,) => s5.pathway0_res1.branch2.c_bn.bias: (2048,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2a_bn_riv: (32,) => s4.pathway1_res5.branch2.a_bn.running_var: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res2_1_branch2b_bn_rm: (64,) => s2.pathway0_res1.branch2.b_bn.running_mean: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_3_branch2a_bn_s: (16,) => s3.pathway1_res3.branch2.a_bn.weight: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_0_branch2c_bn_b: (2048,) => s5.pathway0_res0.branch2.c_bn.bias: (2048,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_0_branch2c_bn_b: (64,) => s3.pathway1_res0.branch2.c_bn.bias: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_4_branch2b_bn_rm: (256,) => s4.pathway0_res4.branch2.b_bn.running_mean: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_1_branch2b_bn_rm: (512,) => s5.pathway0_res1.branch2.b_bn.running_mean: (512,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res5_0_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res0.branch2.b.weight: (512, 512, 1, 3, 3)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2b_bn_riv: (8,) => s2.pathway1_res1.branch2.b_bn.running_var: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_0_branch2c_bn_s: (64,) => s3.pathway1_res0.branch2.c_bn.weight: (64,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2a_bn_s: (8,) => s2.pathway1_res1.branch2.a_bn.weight: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_4_branch2a_bn_s: (256,) => s4.pathway0_res4.branch2.a_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_2_branch2b_bn_s: (16,) => s3.pathway1_res2.branch2.b_bn.weight: (16,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_0_branch2c_bn_rm: (128,) => s4.pathway1_res0.branch2.c_bn.running_mean: (128,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_2_branch2b_bn_s: (256,) => s4.pathway0_res2.branch2.b_bn.weight: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res2_1_branch2a_bn_b: (8,) => s2.pathway1_res1.branch2.a_bn.bias: (8,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_4_branch2a_bn_b: (256,) => s4.pathway0_res4.branch2.a_bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_subsample_bn_riv: (256,) => s4_fuse.bn.running_var: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_2_branch2b_bn_b: (256,) => s4.pathway0_res2.branch2.b_bn.bias: (256,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res5_2_branch2c_w: (256, 64, 1, 1, 1) => s5.pathway1_res2.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_3_branch2c_bn_rm: (1024,) => s4.pathway0_res3.branch2.c_bn.running_mean: (1024,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_3_branch2a_bn_b: (32,) => s4.pathway1_res3.branch2.a_bn.bias: (32,)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res3_0_branch2c_w: (64, 16, 1, 1, 1) => s3.pathway1_res0.branch2.c.weight: (64, 16, 1, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_2_branch2a_w: (32, 128, 3, 1, 1) => s4.pathway1_res2.branch2.a.weight: (32, 128, 3, 1, 1)
[03/27 20:46:56] pa.utils.checkpoint INFO: res4_5_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res5.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:46:56] pa.utils.checkpoint INFO: t_res4_3_branch2a_bn_s: (32,) => s4.pathway1_res3.branch2.a_bn.weight: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_3_branch2c_bn_riv: (1024,) => s4.pathway0_res3.branch2.c_bn.running_var: (1024,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_2_branch2a_bn_rm: (32,) => s4.pathway1_res2.branch2.a_bn.running_mean: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_2_branch2a_bn_rm: (128,) => s3.pathway0_res2.branch2.a_bn.running_mean: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_2_branch2c_bn_rm: (1024,) => s4.pathway0_res2.branch2.c_bn.running_mean: (1024,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_0_branch2c_bn_rm: (1024,) => s4.pathway0_res0.branch2.c_bn.running_mean: (1024,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res5_1_branch2c_bn_riv: (256,) => s5.pathway1_res1.branch2.c_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_4_branch2c_bn_rm: (128,) => s4.pathway1_res4.branch2.c_bn.running_mean: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_0_branch2a_bn_s: (128,) => s3.pathway0_res0.branch2.a_bn.weight: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch2b_bn_riv: (16,) => s3.pathway1_res0.branch2.b_bn.running_var: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_subsample_bn_rm: (128,) => s3_fuse.bn.running_mean: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_0_branch2a_bn_b: (128,) => s3.pathway0_res0.branch2.a_bn.bias: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_4_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res4.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_riv: (32,) => s2.pathway1_res2.branch2.c_bn.running_var: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_3_branch2a_bn_rm: (16,) => s3.pathway1_res3.branch2.a_bn.running_mean: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_2_branch2b_w: (8, 8, 1, 3, 3) => s2.pathway1_res2.branch2.b.weight: (8, 8, 1, 3, 3)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch2a_bn_rm: (8,) => s2.pathway1_res0.branch2.a_bn.running_mean: (8,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch2c_bn_rm: (64,) => s3.pathway1_res0.branch2.c_bn.running_mean: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_5_branch2a_bn_rm: (256,) => s4.pathway0_res5.branch2.a_bn.running_mean: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_4_branch2b_bn_s: (32,) => s4.pathway1_res4.branch2.b_bn.weight: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_0_branch2b_bn_riv: (512,) => s5.pathway0_res0.branch2.b_bn.running_var: (512,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_1_branch2b_bn_b: (32,) => s4.pathway1_res1.branch2.b_bn.bias: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_1_branch2c_bn_rm: (512,) => s3.pathway0_res1.branch2.c_bn.running_mean: (512,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_4_branch2b_bn_b: (32,) => s4.pathway1_res4.branch2.b_bn.bias: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_1_branch2a_bn_s: (128,) => s3.pathway0_res1.branch2.a_bn.weight: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_b: (64,) => s3.pathway1_res3.branch2.c_bn.bias: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_1_branch2b_bn_s: (32,) => s4.pathway1_res1.branch2.b_bn.weight: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_4_branch2a_bn_b: (32,) => s4.pathway1_res4.branch2.a_bn.bias: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_1_branch2a_bn_s: (512,) => s5.pathway0_res1.branch2.a_bn.weight: (512,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_0_branch2a_bn_riv: (256,) => s4.pathway0_res0.branch2.a_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_1_branch2a_bn_b: (512,) => s5.pathway0_res1.branch2.a_bn.bias: (512,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_2_branch2b_bn_riv: (256,) => s4.pathway0_res2.branch2.b_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_2_branch2b_bn_rm: (8,) => s2.pathway1_res2.branch2.b_bn.running_mean: (8,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_0_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res0.branch2.c.weight: (512, 128, 1, 1, 1)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch2a_bn_s: (16,) => s3.pathway1_res0.branch2.a_bn.weight: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_2_branch2c_bn_riv: (128,) => s4.pathway1_res2.branch2.c_bn.running_var: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch2a_bn_b: (16,) => s3.pathway1_res0.branch2.a_bn.bias: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_1_branch2a_bn_riv: (16,) => s3.pathway1_res1.branch2.a_bn.running_var: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch2b_bn_riv: (8,) => s2.pathway1_res0.branch2.b_bn.running_var: (8,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_1_branch2a_bn_s: (16,) => s3.pathway1_res1.branch2.a_bn.weight: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_5_branch2b_bn_riv: (256,) => s4.pathway0_res5.branch2.b_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_2_branch2b_bn_rm: (512,) => s5.pathway0_res2.branch2.b_bn.running_mean: (512,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_s: (64,) => s3.pathway1_res3.branch2.c_bn.weight: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch1_bn_riv: (32,) => s2.pathway1_res0.branch1_bn.running_var: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res2_2_branch2b_bn_riv: (64,) => s2.pathway0_res2.branch2.b_bn.running_var: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res2_0_branch1_bn_rm: (256,) => s2.pathway0_res0.branch1_bn.running_mean: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res2_2_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res2.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:46:57] pa.utils.checkpoint INFO: res2_1_branch2a_bn_riv: (64,) => s2.pathway0_res1.branch2.a_bn.running_var: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_2_branch2b_bn_rm: (32,) => s4.pathway1_res2.branch2.b_bn.running_mean: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_2_branch2a_bn_riv: (256,) => s4.pathway0_res2.branch2.a_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_2_branch2c_bn_s: (1024,) => s4.pathway0_res2.branch2.c_bn.weight: (1024,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_3_branch2a_bn_s: (128,) => s3.pathway0_res3.branch2.a_bn.weight: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch2a_bn_riv: (8,) => s2.pathway1_res0.branch2.a_bn.running_var: (8,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res3_0_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res0.branch2.b.weight: (128, 128, 1, 3, 3)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_5_branch2a_bn_riv: (256,) => s4.pathway0_res5.branch2.a_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_3_branch2b_bn_rm: (16,) => s3.pathway1_res3.branch2.b_bn.running_mean: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch1_bn_s: (32,) => s2.pathway1_res0.branch1_bn.weight: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res4_0_branch2b_bn_riv: (256,) => s4.pathway0_res0.branch2.b_bn.running_var: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_0_branch2b_bn_riv: (32,) => s4.pathway1_res0.branch2.b_bn.running_var: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch2b_bn_b: (16,) => s3.pathway1_res0.branch2.b_bn.bias: (16,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_0_branch1_bn_b: (32,) => s2.pathway1_res0.branch1_bn.bias: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res5_0_branch1_bn_s: (256,) => s5.pathway1_res0.branch1_bn.weight: (256,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res5_1_branch2b_bn_s: (64,) => s5.pathway1_res1.branch2.b_bn.weight: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res3_0_branch1_bn_riv: (64,) => s3.pathway1_res0.branch1_bn.running_var: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_subsample_bn_s: (64,) => s2_fuse.bn.weight: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_0_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res0.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_s: (128,) => s4.pathway1_res5.branch2.c_bn.weight: (128,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res5_0_branch2b_bn_rm: (64,) => s5.pathway1_res0.branch2.b_bn.running_mean: (64,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_5_branch2b_bn_s: (32,) => s4.pathway1_res5.branch2.b_bn.weight: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: t_res4_5_branch2b_bn_riv: (32,) => s4.pathway1_res5.branch2.b_bn.running_var: (32,)
[03/27 20:46:57] pa.utils.checkpoint INFO: res5_2_branch2a_w: (512, 2048, 3, 1, 1) => s5.pathway0_res2.branch2.a.weight: (512, 2048, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_1_branch2a_w: (64, 256, 3, 1, 1) => s5.pathway1_res1.branch2.a.weight: (64, 256, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_3_branch2b_bn_riv: (32,) => s4.pathway1_res3.branch2.b_bn.running_var: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_subsample_bn_b: (64,) => s2_fuse.bn.bias: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_b: (128,) => s4.pathway1_res5.branch2.c_bn.bias: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_5_branch2b_bn_b: (32,) => s4.pathway1_res5.branch2.b_bn.bias: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_0_branch2c_bn_rm: (256,) => s2.pathway0_res0.branch2.c_bn.running_mean: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch1_w: (2048, 1280, 1, 1, 1) => s5.pathway0_res0.branch1.weight: (2048, 1280, 1, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_2_branch2c_bn_b: (256,) => s2.pathway0_res2.branch2.c_bn.bias: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_5_branch2c_bn_b: (1024,) => s4.pathway0_res5.branch2.c_bn.bias: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_subsample_bn_rm: (64,) => s2_fuse.bn.running_mean: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_0_branch2c_bn_b: (32,) => s2.pathway1_res0.branch2.c_bn.bias: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_3_branch2b_bn_s: (256,) => s4.pathway0_res3.branch2.b_bn.weight: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_2_branch2c_bn_riv: (512,) => s3.pathway0_res2.branch2.c_bn.running_var: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch2a_w: (512, 1280, 3, 1, 1) => s5.pathway0_res0.branch2.a.weight: (512, 1280, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_0_branch2c_bn_s: (32,) => s2.pathway1_res0.branch2.c_bn.weight: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_1_branch2a_bn_rm: (8,) => s2.pathway1_res1.branch2.a_bn.running_mean: (8,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_0_branch2b_bn_rm: (64,) => s2.pathway0_res0.branch2.b_bn.running_mean: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_2_branch2a_bn_rm: (64,) => s2.pathway0_res2.branch2.a_bn.running_mean: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_0_branch2a_bn_riv: (16,) => s3.pathway1_res0.branch2.a_bn.running_var: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_5_branch2a_bn_rm: (32,) => s4.pathway1_res5.branch2.a_bn.running_mean: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_0_branch2b_bn_s: (16,) => s3.pathway1_res0.branch2.b_bn.weight: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_2_branch2a_bn_b: (16,) => s3.pathway1_res2.branch2.a_bn.bias: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_2_branch2b_bn_b: (64,) => s5.pathway1_res2.branch2.b_bn.bias: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_1_branch2a_bn_rm: (512,) => s5.pathway0_res1.branch2.a_bn.running_mean: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_0_branch2a_bn_b: (32,) => s4.pathway1_res0.branch2.a_bn.bias: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_2_branch2b_w: (512, 512, 1, 3, 3) => s5.pathway0_res2.branch2.b.weight: (512, 512, 1, 3, 3)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_2_branch2a_bn_riv: (8,) => s2.pathway1_res2.branch2.a_bn.running_var: (8,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_1_branch2c_bn_riv: (32,) => s2.pathway1_res1.branch2.c_bn.running_var: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_2_branch2b_bn_s: (64,) => s5.pathway1_res2.branch2.b_bn.weight: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_1_branch2a_bn_rm: (64,) => s5.pathway1_res1.branch2.a_bn.running_mean: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_0_branch2c_bn_b: (1024,) => s4.pathway0_res0.branch2.c_bn.bias: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_2_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res2.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_0_branch2a_w: (16, 32, 3, 1, 1) => s3.pathway1_res0.branch2.a.weight: (16, 32, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_0_branch2c_bn_s: (1024,) => s4.pathway0_res0.branch2.c_bn.weight: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_3_branch2b_bn_b: (128,) => s3.pathway0_res3.branch2.b_bn.bias: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_1_branch2c_bn_riv: (2048,) => s5.pathway0_res1.branch2.c_bn.running_var: (2048,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_0_branch1_w: (64, 32, 1, 1, 1) => s3.pathway1_res0.branch1.weight: (64, 32, 1, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_1_branch2a_bn_riv: (256,) => s4.pathway0_res1.branch2.a_bn.running_var: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: conv1_w: (64, 3, 1, 7, 7) => s1.pathway0_stem.conv.weight: (64, 3, 1, 7, 7)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_0_branch1_bn_riv: (256,) => s2.pathway0_res0.branch1_bn.running_var: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_2_branch2c_bn_rm: (512,) => s3.pathway0_res2.branch2.c_bn.running_mean: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_4_branch2c_bn_s: (1024,) => s4.pathway0_res4.branch2.c_bn.weight: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_1_branch2c_bn_b: (1024,) => s4.pathway0_res1.branch2.c_bn.bias: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch2b_bn_rm: (512,) => s5.pathway0_res0.branch2.b_bn.running_mean: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_1_branch2c_bn_s: (256,) => s5.pathway1_res1.branch2.c_bn.weight: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_1_branch2c_bn_rm: (32,) => s2.pathway1_res1.branch2.c_bn.running_mean: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_4_branch2b_bn_riv: (256,) => s4.pathway0_res4.branch2.b_bn.running_var: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_1_branch2c_bn_s: (1024,) => s4.pathway0_res1.branch2.c_bn.weight: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_1_branch2c_bn_riv: (1024,) => s4.pathway0_res1.branch2.c_bn.running_var: (1024,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_1_branch2c_bn_b: (256,) => s5.pathway1_res1.branch2.c_bn.bias: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_5_branch2b_bn_rm: (256,) => s4.pathway0_res5.branch2.b_bn.running_mean: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_5_branch2a_w: (32, 128, 3, 1, 1) => s4.pathway1_res5.branch2.a.weight: (32, 128, 3, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_0_branch2a_bn_b: (64,) => s5.pathway1_res0.branch2.a_bn.bias: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_1_branch2b_bn_rm: (128,) => s3.pathway0_res1.branch2.b_bn.running_mean: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_pool1_subsample_bn_riv: (16,) => s1_fuse.bn.running_var: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_1_branch2a_bn_rm: (256,) => s4.pathway0_res1.branch2.a_bn.running_mean: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_0_branch2a_bn_s: (64,) => s5.pathway1_res0.branch2.a_bn.weight: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_1_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res1.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_1_branch2b_bn_s: (16,) => s3.pathway1_res1.branch2.b_bn.weight: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res2_0_branch2a_bn_riv: (64,) => s2.pathway0_res0.branch2.a_bn.running_var: (64,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch2a_bn_rm: (512,) => s5.pathway0_res0.branch2.a_bn.running_mean: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_0_branch2c_bn_riv: (512,) => s3.pathway0_res0.branch2.c_bn.running_var: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_2_branch2c_bn_s: (512,) => s3.pathway0_res2.branch2.c_bn.weight: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_1_branch2b_bn_b: (16,) => s3.pathway1_res1.branch2.b_bn.bias: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res3_2_branch2a_bn_s: (16,) => s3.pathway1_res2.branch2.a_bn.weight: (16,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_4_branch2c_bn_s: (128,) => s4.pathway1_res4.branch2.c_bn.weight: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res2_2_branch2b_bn_riv: (8,) => s2.pathway1_res2.branch2.b_bn.running_var: (8,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch2a_bn_b: (512,) => s5.pathway0_res0.branch2.a_bn.bias: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_4_branch2c_bn_b: (128,) => s4.pathway1_res4.branch2.c_bn.bias: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_1_branch2b_bn_b: (128,) => s3.pathway0_res1.branch2.b_bn.bias: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res3_2_branch2a_bn_s: (128,) => s3.pathway0_res2.branch2.a_bn.weight: (128,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_1_branch2a_bn_rm: (32,) => s4.pathway1_res1.branch2.a_bn.running_mean: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_0_branch2a_bn_s: (512,) => s5.pathway0_res0.branch2.a_bn.weight: (512,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res5_2_branch2c_bn_b: (256,) => s5.pathway1_res2.branch2.c_bn.bias: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_0_branch2b_bn_rm: (32,) => s4.pathway1_res0.branch2.b_bn.running_mean: (32,)
[03/27 20:46:58] pa.utils.checkpoint INFO: t_res4_0_branch1_w: (128, 64, 1, 1, 1) => s4.pathway1_res0.branch1.weight: (128, 64, 1, 1, 1)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_0_branch2b_bn_s: (256,) => s4.pathway0_res0.branch2.b_bn.weight: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res4_2_branch2a_bn_b: (256,) => s4.pathway0_res2.branch2.a_bn.bias: (256,)
[03/27 20:46:58] pa.utils.checkpoint INFO: res5_2_branch2b_bn_s: (512,) => s5.pathway0_res2.branch2.b_bn.weight: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_3_branch2c_bn_s: (1024,) => s4.pathway0_res3.branch2.c_bn.weight: (1024,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_2_branch2a_bn_s: (256,) => s4.pathway0_res2.branch2.a_bn.weight: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_2_branch2b_bn_b: (512,) => s5.pathway0_res2.branch2.b_bn.bias: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res2_0_branch1_bn_rm: (32,) => s2.pathway1_res0.branch1_bn.running_mean: (32,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_1_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res1.branch2.a.weight: (128, 512, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_3_branch2c_bn_b: (1024,) => s4.pathway0_res3.branch2.c_bn.bias: (1024,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2b_bn_rm: (128,) => s3.pathway0_res0.branch2.b_bn.running_mean: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_0_branch2b_bn_b: (512,) => s5.pathway0_res0.branch2.b_bn.bias: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_2_branch2a_bn_b: (512,) => s5.pathway0_res2.branch2.a_bn.bias: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_0_branch1_bn_riv: (256,) => s5.pathway1_res0.branch1_bn.running_var: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_0_branch1_bn_b: (64,) => s3.pathway1_res0.branch1_bn.bias: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_1_branch2c_bn_b: (128,) => s4.pathway1_res1.branch2.c_bn.bias: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_3_branch2a_bn_b: (128,) => s3.pathway0_res3.branch2.a_bn.bias: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res0.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_2_branch2a_bn_s: (512,) => s5.pathway0_res2.branch2.a_bn.weight: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_0_branch1_bn_s: (64,) => s3.pathway1_res0.branch1_bn.weight: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_1_branch2c_bn_s: (128,) => s4.pathway1_res1.branch2.c_bn.weight: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res2_0_branch1_bn_b: (256,) => s2.pathway0_res0.branch1_bn.bias: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_1_branch2b_bn_riv: (256,) => s4.pathway0_res1.branch2.b_bn.running_var: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_0_branch2b_bn_rm: (256,) => s4.pathway0_res0.branch2.b_bn.running_mean: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_0_branch1_bn_s: (1024,) => s4.pathway0_res0.branch1_bn.weight: (1024,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_2_branch2c_w: (64, 16, 1, 1, 1) => s3.pathway1_res2.branch2.c.weight: (64, 16, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_2_branch2a_bn_rm: (256,) => s4.pathway0_res2.branch2.a_bn.running_mean: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch1_bn_b: (128,) => s4.pathway1_res0.branch1_bn.bias: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res2_0_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res0.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_0_branch2c_w: (256, 64, 1, 1, 1) => s5.pathway1_res0.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_0_branch1_bn_b: (1024,) => s4.pathway0_res0.branch1_bn.bias: (1024,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_1_branch2c_bn_rm: (1024,) => s4.pathway0_res1.branch2.c_bn.running_mean: (1024,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_2_branch2b_bn_riv: (32,) => s4.pathway1_res2.branch2.b_bn.running_var: (32,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_3_branch2a_bn_rm: (256,) => s4.pathway0_res3.branch2.a_bn.running_mean: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_0_branch2b_bn_b: (64,) => s5.pathway1_res0.branch2.b_bn.bias: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_1_branch2a_w: (32, 128, 3, 1, 1) => s4.pathway1_res1.branch2.a.weight: (32, 128, 3, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_2_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res2.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_1_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res1.branch2.c.weight: (512, 128, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch1_bn_s: (512,) => s3.pathway0_res0.branch1_bn.weight: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_1_branch2b_w: (16, 16, 1, 3, 3) => s3.pathway1_res1.branch2.b.weight: (16, 16, 1, 3, 3)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_0_branch2a_w: (64, 128, 3, 1, 1) => s5.pathway1_res0.branch2.a.weight: (64, 128, 3, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_2_branch2a_bn_rm: (64,) => s5.pathway1_res2.branch2.a_bn.running_mean: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_1_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res1.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_2_branch2c_bn_s: (64,) => s3.pathway1_res2.branch2.c_bn.weight: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_1_branch2b_bn_rm: (256,) => s4.pathway0_res1.branch2.b_bn.running_mean: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_3_branch2b_bn_rm: (128,) => s3.pathway0_res3.branch2.b_bn.running_mean: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_0_branch2b_bn_b: (256,) => s4.pathway0_res0.branch2.b_bn.bias: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_2_branch2c_bn_b: (64,) => s3.pathway1_res2.branch2.c_bn.bias: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_1_branch2a_bn_riv: (64,) => s5.pathway1_res1.branch2.a_bn.running_var: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_1_branch2c_bn_riv: (512,) => s3.pathway0_res1.branch2.c_bn.running_var: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2c_bn_b: (512,) => s3.pathway0_res0.branch2.c_bn.bias: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2a_bn_rm: (128,) => s3.pathway0_res0.branch2.a_bn.running_mean: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_0_branch2c_bn_s: (2048,) => s5.pathway0_res0.branch2.c_bn.weight: (2048,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_1_branch2a_bn_b: (64,) => s5.pathway1_res1.branch2.a_bn.bias: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_2_branch2b_bn_rm: (256,) => s4.pathway0_res2.branch2.b_bn.running_mean: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res5_2_branch2c_w: (2048, 512, 1, 1, 1) => s5.pathway0_res2.branch2.c.weight: (2048, 512, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2c_bn_s: (512,) => s3.pathway0_res0.branch2.c_bn.weight: (512,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res2_0_branch2a_w: (64, 80, 1, 1, 1) => s2.pathway0_res0.branch2.a.weight: (64, 80, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_1_branch2a_bn_s: (64,) => s5.pathway1_res1.branch2.a_bn.weight: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res4_3_branch2a_bn_riv: (256,) => s4.pathway0_res3.branch2.a_bn.running_var: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_1_branch2c_bn_s: (64,) => s3.pathway1_res1.branch2.c_bn.weight: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_2_branch2c_bn_s: (256,) => s5.pathway1_res2.branch2.c_bn.weight: (256,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_4_branch2a_w: (32, 128, 3, 1, 1) => s4.pathway1_res4.branch2.a.weight: (32, 128, 3, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_1_branch2c_bn_b: (64,) => s3.pathway1_res1.branch2.c_bn.bias: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_3_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res3.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res0.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:46:59] pa.utils.checkpoint INFO: res2_2_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res2.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res5_2_branch2a_bn_riv: (64,) => s5.pathway1_res2.branch2.a_bn.running_var: (64,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch2b_bn_b: (32,) => s4.pathway1_res0.branch2.b_bn.bias: (32,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch2c_bn_riv: (128,) => s4.pathway1_res0.branch2.c_bn.running_var: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_0_branch2b_bn_s: (32,) => s4.pathway1_res0.branch2.b_bn.weight: (32,)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res3_0_branch2b_w: (16, 16, 1, 3, 3) => s3.pathway1_res0.branch2.b.weight: (16, 16, 1, 3, 3)
[03/27 20:46:59] pa.utils.checkpoint INFO: t_res4_3_branch2a_w: (32, 128, 3, 1, 1) => s4.pathway1_res3.branch2.a.weight: (32, 128, 3, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2b_bn_riv: (128,) => s3.pathway0_res0.branch2.b_bn.running_var: (128,)
[03/27 20:46:59] pa.utils.checkpoint INFO: res3_0_branch2a_w: (128, 320, 1, 1, 1) => s3.pathway0_res0.branch2.a.weight: (128, 320, 1, 1, 1)
[03/27 20:46:59] pa.utils.checkpoint INFO: res2_0_branch2a_bn_s: (64,) => s2.pathway0_res0.branch2.a_bn.weight: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_1_branch2c_bn_rm: (64,) => s3.pathway1_res1.branch2.c_bn.running_mean: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res_conv1_bn_b: (8,) => s1.pathway1_stem.bn.bias: (8,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_3_branch2a_bn_b: (256,) => s4.pathway0_res3.branch2.a_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_1_branch2a_bn_s: (64,) => s2.pathway0_res1.branch2.a_bn.weight: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_0_branch2c_bn_rm: (512,) => s3.pathway0_res0.branch2.c_bn.running_mean: (512,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res2_1_branch2b_bn_s: (8,) => s2.pathway1_res1.branch2.b_bn.weight: (8,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_2_branch2c_bn_b: (512,) => s3.pathway0_res2.branch2.c_bn.bias: (512,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2a_bn_b: (64,) => s2.pathway0_res0.branch2.a_bn.bias: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_1_branch2b_bn_s: (256,) => s4.pathway0_res1.branch2.b_bn.weight: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_2_branch2b_w: (16, 16, 1, 3, 3) => s3.pathway1_res2.branch2.b.weight: (16, 16, 1, 3, 3)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res_conv1_bn_s: (8,) => s1.pathway1_stem.bn.weight: (8,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res2_0_branch2b_bn_rm: (8,) => s2.pathway1_res0.branch2.b_bn.running_mean: (8,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_1_branch2a_bn_b: (64,) => s2.pathway0_res1.branch2.a_bn.bias: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_2_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res2.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_1_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res1.branch2.b.weight: (128, 128, 1, 3, 3)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_1_branch2a_bn_rm: (128,) => s3.pathway0_res1.branch2.a_bn.running_mean: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_3_branch2c_w: (512, 128, 1, 1, 1) => s3.pathway0_res3.branch2.c.weight: (512, 128, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_1_branch2a_bn_riv: (32,) => s4.pathway1_res1.branch2.a_bn.running_var: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_4_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res4.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2a_bn_rm: (64,) => s2.pathway0_res0.branch2.a_bn.running_mean: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2b_bn_b: (64,) => s2.pathway0_res0.branch2.b_bn.bias: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_0_branch2a_bn_s: (256,) => s4.pathway0_res0.branch2.a_bn.weight: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_3_branch2a_w: (128, 512, 1, 1, 1) => s3.pathway0_res3.branch2.a.weight: (128, 512, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_4_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res4.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_1_branch2b_bn_riv: (128,) => s3.pathway0_res1.branch2.b_bn.running_var: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2b_bn_s: (64,) => s2.pathway0_res0.branch2.b_bn.weight: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_0_branch2a_bn_b: (256,) => s4.pathway0_res0.branch2.a_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch2c_bn_s: (256,) => s5.pathway1_res0.branch2.c_bn.weight: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_rm: (128,) => s4.pathway1_res5.branch2.c_bn.running_mean: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_subsample_w: (128, 64, 7, 1, 1) => s3_fuse.conv_f2s.weight: (128, 64, 7, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2c_bn_b: (256,) => s2.pathway0_res0.branch2.c_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_rm: (32,) => s2.pathway1_res2.branch2.c_bn.running_mean: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res5_0_branch2b_bn_s: (512,) => s5.pathway0_res0.branch2.b_bn.weight: (512,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch2a_bn_rm: (64,) => s5.pathway1_res0.branch2.a_bn.running_mean: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res5_2_branch2c_bn_rm: (2048,) => s5.pathway0_res2.branch2.c_bn.running_mean: (2048,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2c_bn_s: (256,) => s2.pathway0_res0.branch2.c_bn.weight: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_3_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res3.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch2a_bn_riv: (64,) => s5.pathway1_res0.branch2.a_bn.running_var: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_0_branch2b_bn_b: (128,) => s3.pathway0_res0.branch2.b_bn.bias: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_1_branch2c_bn_riv: (64,) => s3.pathway1_res1.branch2.c_bn.running_var: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_1_branch2b_bn_b: (256,) => s4.pathway0_res1.branch2.b_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_0_branch2a_bn_rm: (256,) => s4.pathway0_res0.branch2.a_bn.running_mean: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_3_branch2c_bn_s: (128,) => s4.pathway1_res3.branch2.c_bn.weight: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch1_w: (256, 80, 1, 1, 1) => s2.pathway0_res0.branch1.weight: (256, 80, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch2c_bn_b: (256,) => s5.pathway1_res0.branch2.c_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_1_branch2c_bn_rm: (256,) => s2.pathway0_res1.branch2.c_bn.running_mean: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res3_0_branch2b_bn_s: (128,) => s3.pathway0_res0.branch2.b_bn.weight: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_3_branch2b_w: (16, 16, 1, 3, 3) => s3.pathway1_res3.branch2.b.weight: (16, 16, 1, 3, 3)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_0_branch2a_bn_rm: (32,) => s4.pathway1_res0.branch2.a_bn.running_mean: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_rm: (64,) => s3.pathway1_res3.branch2.c_bn.running_mean: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_3_branch2c_bn_b: (128,) => s4.pathway1_res3.branch2.c_bn.bias: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_2_branch2a_bn_s: (32,) => s4.pathway1_res2.branch2.a_bn.weight: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_5_branch2c_bn_rm: (1024,) => s4.pathway0_res5.branch2.c_bn.running_mean: (1024,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_2_branch2a_bn_b: (32,) => s4.pathway1_res2.branch2.a_bn.bias: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res_conv1_bn_riv: (64,) => s1.pathway0_stem.bn.running_var: (64,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch1_bn_b: (256,) => s5.pathway1_res0.branch1_bn.bias: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_4_branch2c_bn_riv: (128,) => s4.pathway1_res4.branch2.c_bn.running_var: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_0_branch2a_w: (32, 64, 3, 1, 1) => s4.pathway1_res0.branch2.a.weight: (32, 64, 3, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_5_branch2c_bn_riv: (128,) => s4.pathway1_res5.branch2.c_bn.running_var: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res4_4_branch2a_bn_riv: (256,) => s4.pathway0_res4.branch2.a_bn.running_var: (256,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res2_1_branch2a_bn_riv: (8,) => s2.pathway1_res1.branch2.a_bn.running_var: (8,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_1_branch2c_w: (256, 64, 1, 1, 1) => s5.pathway1_res1.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: res5_1_branch2b_bn_riv: (512,) => s5.pathway0_res1.branch2.b_bn.running_var: (512,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res2_0_branch2c_bn_rm: (32,) => s2.pathway1_res0.branch2.c_bn.running_mean: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_3_branch2c_bn_subsample_bn_riv: (128,) => s3_fuse.bn.running_var: (128,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res5_2_branch2c_bn_s: (2048,) => s5.pathway0_res2.branch2.c_bn.weight: (2048,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res3_3_branch2a_bn_b: (16,) => s3.pathway1_res3.branch2.a_bn.bias: (16,)
[03/27 20:47:00] pa.utils.checkpoint INFO: res2_0_branch2c_w: (256, 64, 1, 1, 1) => s2.pathway0_res0.branch2.c.weight: (256, 64, 1, 1, 1)
[03/27 20:47:00] pa.utils.checkpoint INFO: res5_2_branch2c_bn_b: (2048,) => s5.pathway0_res2.branch2.c_bn.bias: (2048,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res4_5_branch2a_bn_b: (32,) => s4.pathway1_res5.branch2.a_bn.bias: (32,)
[03/27 20:47:00] pa.utils.checkpoint INFO: t_res5_0_branch2b_w: (64, 64, 1, 3, 3) => s5.pathway1_res0.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_5_branch2c_w: (128, 32, 1, 1, 1) => s4.pathway1_res5.branch2.c.weight: (128, 32, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_2_branch2a_bn_s: (8,) => s2.pathway1_res2.branch2.a_bn.weight: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_3_branch2a_bn_s: (256,) => s4.pathway0_res3.branch2.a_bn.weight: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_3_branch2b_bn_riv: (256,) => s4.pathway0_res3.branch2.b_bn.running_var: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_2_branch2c_bn_riv: (1024,) => s4.pathway0_res2.branch2.c_bn.running_var: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_1_branch2b_w: (256, 256, 1, 3, 3) => s4.pathway0_res1.branch2.b.weight: (256, 256, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_2_branch2b_bn_rm: (64,) => s5.pathway1_res2.branch2.b_bn.running_mean: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_1_branch2a_w: (64, 256, 1, 1, 1) => s2.pathway0_res1.branch2.a.weight: (64, 256, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_0_branch1_w: (1024, 640, 1, 1, 1) => s4.pathway0_res0.branch1.weight: (1024, 640, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_2_branch2b_bn_b: (32,) => s4.pathway1_res2.branch2.b_bn.bias: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_2_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res2.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res_conv1_bn_riv: (8,) => s1.pathway1_stem.bn.running_var: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_3_branch2b_bn_s: (16,) => s3.pathway1_res3.branch2.b_bn.weight: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_2_branch2b_bn_s: (32,) => s4.pathway1_res2.branch2.b_bn.weight: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_3_branch2c_bn_rm: (512,) => s3.pathway0_res3.branch2.c_bn.running_mean: (512,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_0_branch2a_bn_riv: (32,) => s4.pathway1_res0.branch2.a_bn.running_var: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_2_branch2b_bn_riv: (128,) => s3.pathway0_res2.branch2.b_bn.running_var: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_3_branch2b_bn_b: (16,) => s3.pathway1_res3.branch2.b_bn.bias: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_0_branch2b_w: (8, 8, 1, 3, 3) => s2.pathway1_res0.branch2.b.weight: (8, 8, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_3_branch2a_bn_rm: (128,) => s3.pathway0_res3.branch2.a_bn.running_mean: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res5_0_branch1_bn_riv: (2048,) => s5.pathway0_res0.branch1_bn.running_var: (2048,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_4_branch2c_bn_riv: (1024,) => s4.pathway0_res4.branch2.c_bn.running_var: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_1_branch2b_bn_rm: (32,) => s4.pathway1_res1.branch2.b_bn.running_mean: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_2_branch2b_bn_s: (64,) => s2.pathway0_res2.branch2.b_bn.weight: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res_conv1_bn_rm: (64,) => s1.pathway0_stem.bn.running_mean: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_2_branch2b_bn_rm: (128,) => s3.pathway0_res2.branch2.b_bn.running_mean: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_2_branch2b_bn_b: (64,) => s2.pathway0_res2.branch2.b_bn.bias: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_2_branch2c_bn_s: (256,) => s2.pathway0_res2.branch2.c_bn.weight: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_1_branch2c_bn_rm: (128,) => s4.pathway1_res1.branch2.c_bn.running_mean: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_conv1_w: (8, 3, 5, 7, 7) => s1.pathway1_stem.conv.weight: (8, 3, 5, 7, 7)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_0_branch1_bn_rm: (1024,) => s4.pathway0_res0.branch1_bn.running_mean: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_0_branch1_bn_riv: (1024,) => s4.pathway0_res0.branch1_bn.running_var: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res5_0_branch1_bn_s: (2048,) => s5.pathway0_res0.branch1_bn.weight: (2048,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_0_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res0.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_1_branch2b_bn_b: (64,) => s2.pathway0_res1.branch2.b_bn.bias: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res5_0_branch2c_bn_rm: (2048,) => s5.pathway0_res0.branch2.c_bn.running_mean: (2048,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res5_0_branch1_bn_b: (2048,) => s5.pathway0_res0.branch1_bn.bias: (2048,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_0_branch2a_w: (256, 640, 3, 1, 1) => s4.pathway0_res0.branch2.a.weight: (256, 640, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_4_branch2c_bn_rm: (1024,) => s4.pathway0_res4.branch2.c_bn.running_mean: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_1_branch2b_bn_s: (64,) => s2.pathway0_res1.branch2.b_bn.weight: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_0_branch2c_bn_rm: (256,) => s5.pathway1_res0.branch2.c_bn.running_mean: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_1_branch2a_bn_rm: (16,) => s3.pathway1_res1.branch2.a_bn.running_mean: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_3_branch2b_w: (32, 32, 1, 3, 3) => s4.pathway1_res3.branch2.b.weight: (32, 32, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_0_branch1_bn_riv: (512,) => s3.pathway0_res0.branch1_bn.running_var: (512,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_2_branch2a_bn_b: (8,) => s2.pathway1_res2.branch2.a_bn.bias: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_3_branch2c_w: (1024, 256, 1, 1, 1) => s4.pathway0_res3.branch2.c.weight: (1024, 256, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_0_branch2b_bn_s: (64,) => s5.pathway1_res0.branch2.b_bn.weight: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_1_branch2b_bn_rm: (64,) => s5.pathway1_res1.branch2.b_bn.running_mean: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_3_branch2b_bn_s: (32,) => s4.pathway1_res3.branch2.b_bn.weight: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_pool1_subsample_bn_s: (16,) => s1_fuse.bn.weight: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_2_branch2b_bn_s: (8,) => s2.pathway1_res2.branch2.b_bn.weight: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_1_branch2b_w: (64, 64, 1, 3, 3) => s2.pathway0_res1.branch2.b.weight: (64, 64, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_1_branch2c_bn_rm: (256,) => s5.pathway1_res1.branch2.c_bn.running_mean: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_2_branch2a_bn_riv: (128,) => s3.pathway0_res2.branch2.a_bn.running_var: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_3_branch2b_bn_b: (32,) => s4.pathway1_res3.branch2.b_bn.bias: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_pool1_subsample_bn_b: (16,) => s1_fuse.bn.bias: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_0_branch1_bn_s: (128,) => s4.pathway1_res0.branch1_bn.weight: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_4_branch2b_bn_riv: (32,) => s4.pathway1_res4.branch2.b_bn.running_var: (32,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_0_branch1_bn_rm: (64,) => s3.pathway1_res0.branch1_bn.running_mean: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_0_branch2a_bn_rm: (16,) => s3.pathway1_res0.branch2.a_bn.running_mean: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_3_branch2c_bn_riv: (128,) => s4.pathway1_res3.branch2.c_bn.running_var: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_2_branch2c_bn_rm: (256,) => s2.pathway0_res2.branch2.c_bn.running_mean: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: !! pred_b: (400,) does not match head.projection.bias: (80,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res3_3_branch2b_w: (128, 128, 1, 3, 3) => s3.pathway0_res3.branch2.b.weight: (128, 128, 1, 3, 3)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_2_branch2a_w: (16, 64, 3, 1, 1) => s3.pathway1_res2.branch2.a.weight: (16, 64, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_2_branch2c_bn_s: (128,) => s4.pathway1_res2.branch2.c_bn.weight: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res2_1_branch2b_bn_riv: (64,) => s2.pathway0_res1.branch2.b_bn.running_var: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: !! pred_w: (400, 2304) does not match head.projection.weight: (80, 2304)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_3_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res3.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_subsample_bn_riv: (64,) => s2_fuse.bn.running_var: (64,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_3_branch2a_w: (16, 64, 3, 1, 1) => s3.pathway1_res3.branch2.a.weight: (16, 64, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_1_branch2b_bn_riv: (16,) => s3.pathway1_res1.branch2.b_bn.running_var: (16,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_1_branch2a_w: (256, 1024, 3, 1, 1) => s4.pathway0_res1.branch2.a.weight: (256, 1024, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_0_branch1_w: (32, 8, 1, 1, 1) => s2.pathway1_res0.branch1.weight: (32, 8, 1, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_5_branch2c_bn_s: (1024,) => s4.pathway0_res5.branch2.c_bn.weight: (1024,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res4_2_branch2c_bn_b: (128,) => s4.pathway1_res2.branch2.c_bn.bias: (128,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_0_branch2a_bn_s: (8,) => s2.pathway1_res0.branch2.a_bn.weight: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_2_branch2c_bn_subsample_w: (64, 32, 7, 1, 1) => s2_fuse.conv_f2s.weight: (64, 32, 7, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_5_branch2a_bn_s: (256,) => s4.pathway0_res5.branch2.a_bn.weight: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_3_branch2b_bn_b: (256,) => s4.pathway0_res3.branch2.b_bn.bias: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res5_2_branch2a_w: (64, 256, 3, 1, 1) => s5.pathway1_res2.branch2.a.weight: (64, 256, 3, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_pool1_subsample_w: (16, 8, 7, 1, 1) => s1_fuse.conv_f2s.weight: (16, 8, 7, 1, 1)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res2_0_branch2a_bn_b: (8,) => s2.pathway1_res0.branch2.a_bn.bias: (8,)
[03/27 20:47:01] pa.utils.checkpoint INFO: res4_5_branch2a_bn_b: (256,) => s4.pathway0_res5.branch2.a_bn.bias: (256,)
[03/27 20:47:01] pa.utils.checkpoint INFO: t_res3_3_branch2c_w: (64, 16, 1, 1, 1) => s3.pathway1_res3.branch2.c.weight: (64, 16, 1, 1, 1)
[03/27 20:47:20] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/train.csv
[03/27 20:47:39] 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
[03/27 20:47:39] pa.datasets.ava_helper INFO: Detection threshold: 0.8
[03/27 20:47:39] pa.datasets.ava_helper INFO: Number of unique boxes: 690084
[03/27 20:47:39] pa.datasets.ava_helper INFO: Number of annotations: 2532665
[03/27 20:47:40] pa.datasets.ava_helper INFO: 195528 keyframes used.
[03/27 20:47:40] pa.datasets.ava_dataset INFO: === AVA dataset summary ===
[03/27 20:47:40] pa.datasets.ava_dataset INFO: Split: train
[03/27 20:47:40] pa.datasets.ava_dataset INFO: Number of videos: 235
[03/27 20:47:40] pa.datasets.ava_dataset INFO: Number of frames: 6352104
[03/27 20:47:40] pa.datasets.ava_dataset INFO: Number of key frames: 195528
[03/27 20:47:40] pa.datasets.ava_dataset INFO: Number of boxes: 690084.
[03/27 20:47:44] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/val.csv
[03/27 20:47:45] 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
[03/27 20:47:45] pa.datasets.ava_helper INFO: Detection threshold: 0.8
[03/27 20:47:45] pa.datasets.ava_helper INFO: Number of unique boxes: 24863
[03/27 20:47:45] pa.datasets.ava_helper INFO: Number of annotations: 0
[03/27 20:47:45] pa.datasets.ava_helper INFO: 13169 keyframes used.
[03/27 20:47:45] pa.datasets.ava_dataset INFO: === AVA dataset summary ===
[03/27 20:47:45] pa.datasets.ava_dataset INFO: Split: val
[03/27 20:47:45] pa.datasets.ava_dataset INFO: Number of videos: 64
[03/27 20:47:45] pa.datasets.ava_dataset INFO: Number of frames: 1729931
[03/27 20:47:45] pa.datasets.ava_dataset INFO: Number of key frames: 13169
[03/27 20:47:45] pa.datasets.ava_dataset INFO: Number of boxes: 24863.
[03/27 20:48:08] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/train.csv
[03/27 20:48:16] pa.datasets.ava_helper INFO: Finished loading image paths from: /public/sist/home/hexm/Projects/pyaction/data/ava/frame_lists/val.csv
[03/27 20:48:16] pyaction INFO: Start epoch: 1
[03/27 20:59:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "10", "eta": "2:30:25", "loss": 0.796501, "lr": 0.000140, "mode": "train", "time_backward": 1.053365, "time_data": 0.016666, "time_diff": 1.479310, "time_forward": 0.397781, "time_loss": 0.000255}
[03/27 21:01:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "20", "eta": "2:29:56", "loss": 0.747410, "lr": 0.000156, "mode": "train", "time_backward": 1.052257, "time_data": 0.016767, "time_diff": 1.474750, "time_forward": 0.397484, "time_loss": 0.000427}
[03/27 21:01:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "30", "eta": "2:32:08", "loss": 0.674784, "lr": 0.000172, "mode": "train", "time_backward": 1.071878, "time_data": 0.018006, "time_diff": 1.549273, "time_forward": 0.451809, "time_loss": 0.001739}
[03/27 21:02:57] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "40", "eta": "2:31:17", "loss": 0.601069, "lr": 0.000189, "mode": "train", "time_backward": 1.055730, "time_data": 0.016559, "time_diff": 1.477719, "time_forward": 0.397241, "time_loss": 0.000219}
[03/27 21:04:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "50", "eta": "2:30:33", "loss": 0.535168, "lr": 0.000205, "mode": "train", "time_backward": 1.051377, "time_data": 0.017000, "time_diff": 1.470868, "time_forward": 0.398615, "time_loss": 0.000410}
[03/27 21:05:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "60", "eta": "2:30:01", "loss": 0.475768, "lr": 0.000221, "mode": "train", "time_backward": 1.052909, "time_data": 0.017185, "time_diff": 1.473610, "time_forward": 0.398260, "time_loss": 0.000353}
[03/27 21:07:15] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "70", "eta": "2:29:36", "loss": 0.424088, "lr": 0.000238, "mode": "train", "time_backward": 1.054096, "time_data": 0.016826, "time_diff": 1.476302, "time_forward": 0.398277, "time_loss": 0.000359}
[03/27 21:07:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "80", "eta": "2:29:10", "loss": 0.384106, "lr": 0.000254, "mode": "train", "time_backward": 1.050626, "time_data": 0.017274, "time_diff": 1.470264, "time_forward": 0.395730, "time_loss": 0.000213}
[03/27 21:09:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "90", "eta": "2:28:52", "loss": 0.349996, "lr": 0.000270, "mode": "train", "time_backward": 1.057339, "time_data": 0.017229, "time_diff": 1.479886, "time_forward": 0.397781, "time_loss": 0.000240}
[03/27 21:10:56] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "100", "eta": "2:28:31", "loss": 0.334040, "lr": 0.000287, "mode": "train", "time_backward": 1.052148, "time_data": 0.016860, "time_diff": 1.472812, "time_forward": 0.397293, "time_loss": 0.000327}
[03/27 21:11:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "110", "eta": "2:28:12", "loss": 0.295782, "lr": 0.000303, "mode": "train", "time_backward": 1.052467, "time_data": 0.017784, "time_diff": 1.474913, "time_forward": 0.397803, "time_loss": 0.000425}
[03/27 21:13:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "120", "eta": "2:27:55", "loss": 0.290701, "lr": 0.000319, "mode": "train", "time_backward": 1.053718, "time_data": 0.017917, "time_diff": 1.478532, "time_forward": 0.397030, "time_loss": 0.000271}
[03/27 21:15:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "130", "eta": "2:27:50", "loss": 0.266116, "lr": 0.000336, "mode": "train", "time_backward": 1.054458, "time_data": 0.017434, "time_diff": 1.501917, "time_forward": 0.426346, "time_loss": 0.000475}
[03/27 21:15:17] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "140", "eta": "2:27:31", "loss": 0.248174, "lr": 0.000352, "mode": "train", "time_backward": 1.052329, "time_data": 0.018224, "time_diff": 1.473923, "time_forward": 0.397865, "time_loss": 0.000248}
[03/27 21:16:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "150", "eta": "2:27:14", "loss": 0.237931, "lr": 0.000368, "mode": "train", "time_backward": 1.060402, "time_data": 0.016767, "time_diff": 1.475962, "time_forward": 0.396182, "time_loss": 0.000279}
[03/27 21:17:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "160", "eta": "2:26:55", "loss": 0.249510, "lr": 0.000385, "mode": "train", "time_backward": 1.054352, "time_data": 0.016638, "time_diff": 1.471985, "time_forward": 0.397408, "time_loss": 0.000229}
[03/27 21:18:17] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "170", "eta": "2:28:54", "loss": 0.222165, "lr": 0.000401, "mode": "train", "time_backward": 1.443239, "time_data": 0.017308, "time_diff": 1.864279, "time_forward": 0.396350, "time_loss": 0.000241}
[03/27 21:19:17] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "180", "eta": "2:28:30", "loss": 0.213863, "lr": 0.000417, "mode": "train", "time_backward": 1.056159, "time_data": 0.016916, "time_diff": 1.476219, "time_forward": 0.397133, "time_loss": 0.000204}
[03/27 21:19:44] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "190", "eta": "2:28:06", "loss": 0.211041, "lr": 0.000434, "mode": "train", "time_backward": 1.051362, "time_data": 0.016995, "time_diff": 1.473135, "time_forward": 0.397665, "time_loss": 0.000285}
[03/27 21:21:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "200", "eta": "2:27:52", "loss": 0.213719, "lr": 0.000450, "mode": "train", "time_backward": 1.083601, "time_data": 0.017246, "time_diff": 1.505653, "time_forward": 0.396507, "time_loss": 0.000226}
[03/27 21:23:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "210", "eta": "2:27:38", "loss": 0.197307, "lr": 0.000466, "mode": "train", "time_backward": 1.054447, "time_data": 0.018487, "time_diff": 1.503529, "time_forward": 0.426916, "time_loss": 0.000478}
[03/27 21:23:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "220", "eta": "2:27:16", "loss": 0.212175, "lr": 0.000483, "mode": "train", "time_backward": 1.052618, "time_data": 0.017095, "time_diff": 1.474547, "time_forward": 0.397680, "time_loss": 0.000245}
[03/27 21:25:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "230", "eta": "2:26:57", "loss": 0.201842, "lr": 0.000499, "mode": "train", "time_backward": 1.052373, "time_data": 0.018848, "time_diff": 1.483158, "time_forward": 0.398974, "time_loss": 0.000271}
[03/27 21:25:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "240", "eta": "2:26:36", "loss": 0.206133, "lr": 0.000515, "mode": "train", "time_backward": 1.052207, "time_data": 0.017471, "time_diff": 1.476281, "time_forward": 0.398083, "time_loss": 0.000336}
[03/27 21:27:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "250", "eta": "2:26:16", "loss": 0.188669, "lr": 0.000532, "mode": "train", "time_backward": 1.055062, "time_data": 0.016841, "time_diff": 1.477323, "time_forward": 0.397756, "time_loss": 0.000340}
[03/27 21:28:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "260", "eta": "2:25:56", "loss": 0.192497, "lr": 0.000548, "mode": "train", "time_backward": 1.054851, "time_data": 0.016997, "time_diff": 1.475561, "time_forward": 0.398187, "time_loss": 0.000330}
[03/27 21:29:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "270", "eta": "2:25:37", "loss": 0.184402, "lr": 0.000564, "mode": "train", "time_backward": 1.056176, "time_data": 0.017046, "time_diff": 1.476683, "time_forward": 0.399696, "time_loss": 0.000344}
[03/27 21:30:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "280", "eta": "3:28:14", "loss": 0.173302, "lr": 0.000580, "mode": "train", "time_backward": 1.052850, "time_data": 18.145059, "time_diff": 19.608438, "time_forward": 0.406989, "time_loss": 0.000225}
[03/27 21:31:55] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "290", "eta": "3:25:38", "loss": 0.161519, "lr": 0.000597, "mode": "train", "time_backward": 1.054373, "time_data": 0.016896, "time_diff": 1.474579, "time_forward": 0.399754, "time_loss": 0.000372}
[03/27 21:32:38] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "300", "eta": "3:23:12", "loss": 0.186068, "lr": 0.000613, "mode": "train", "time_backward": 1.051568, "time_data": 0.017669, "time_diff": 1.474772, "time_forward": 0.398420, "time_loss": 0.000221}
[03/27 21:34:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "310", "eta": "3:20:55", "loss": 0.182363, "lr": 0.000629, "mode": "train", "time_backward": 1.053432, "time_data": 0.017172, "time_diff": 1.475118, "time_forward": 0.397580, "time_loss": 0.000346}
[03/27 21:34:38] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "320", "eta": "3:18:46", "loss": 0.179973, "lr": 0.000646, "mode": "train", "time_backward": 1.058279, "time_data": 0.018114, "time_diff": 1.482690, "time_forward": 0.397865, "time_loss": 0.000331}
[03/27 21:36:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "330", "eta": "3:46:25", "loss": 0.163829, "lr": 0.000662, "mode": "train", "time_backward": 11.221742, "time_data": 0.017220, "time_diff": 11.644044, "time_forward": 0.398268, "time_loss": 0.000266}
[03/27 21:37:46] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "340", "eta": "5:22:10", "loss": 0.151912, "lr": 0.000678, "mode": "train", "time_backward": 32.642229, "time_data": 0.017199, "time_diff": 36.338213, "time_forward": 0.397883, "time_loss": 3.275110}
[03/27 21:38:28] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "350", "eta": "5:16:34", "loss": 0.170898, "lr": 0.000695, "mode": "train", "time_backward": 1.090923, "time_data": 0.018068, "time_diff": 1.512890, "time_forward": 0.396538, "time_loss": 0.000312}
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[03/27 22:02:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "610", "eta": "6:49:28", "loss": 0.162621, "lr": 0.001119, "mode": "train", "time_backward": 13.571403, "time_data": 0.016959, "time_diff": 14.012484, "time_forward": 0.403943, "time_loss": 0.000318}
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[03/27 22:22:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1160", "eta": "4:30:02", "loss": 0.155822, "lr": 0.002017, "mode": "train", "time_backward": 1.053787, "time_data": 0.016667, "time_diff": 1.474332, "time_forward": 0.400381, "time_loss": 0.000285}
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[03/27 22:25:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1230", "eta": "4:17:59", "loss": 0.143735, "lr": 0.002131, "mode": "train", "time_backward": 1.063342, "time_data": 0.017937, "time_diff": 1.525792, "time_forward": 0.440863, "time_loss": 0.000450}
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[03/27 22:27:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1280", "eta": "4:10:13", "loss": 0.139624, "lr": 0.002213, "mode": "train", "time_backward": 1.132212, "time_data": 0.018346, "time_diff": 1.565456, "time_forward": 0.406667, "time_loss": 0.000251}
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[03/27 22:27:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1300", "eta": "4:07:29", "loss": 0.152704, "lr": 0.002246, "mode": "train", "time_backward": 1.054262, "time_data": 0.016609, "time_diff": 1.476661, "time_forward": 0.396675, "time_loss": 0.000312}
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[03/27 22:28:31] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1320", "eta": "4:04:39", "loss": 0.162405, "lr": 0.002278, "mode": "train", "time_backward": 1.125318, "time_data": 0.017625, "time_diff": 1.674234, "time_forward": 0.527679, "time_loss": 0.000274}
[03/27 22:29:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "1330", "eta": "4:03:21", "loss": 0.147378, "lr": 0.002295, "mode": "train", "time_backward": 1.321623, "time_data": 0.020148, "time_diff": 1.763486, "time_forward": 0.400558, "time_loss": 0.000374}
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[03/28 01:02:26] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5440", "eta": "0:26:38", "loss": 0.111735, "lr": 0.009005, "mode": "train", "time_backward": 1.082846, "time_data": 0.017165, "time_diff": 1.509839, "time_forward": 0.401820, "time_loss": 0.000234}
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[03/28 01:24:17] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5780", "eta": "0:12:19", "loss": 0.129842, "lr": 0.009560, "mode": "train", "time_backward": 1.062982, "time_data": 0.020621, "time_diff": 1.498265, "time_forward": 0.409777, "time_loss": 0.000382}
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[03/28 01:24:48] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5800", "eta": "0:11:34", "loss": 0.128009, "lr": 0.009592, "mode": "train", "time_backward": 1.054453, "time_data": 0.017793, "time_diff": 1.477126, "time_forward": 0.398499, "time_loss": 0.000256}
[03/28 01:25:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5810", "eta": "0:11:11", "loss": 0.137648, "lr": 0.009609, "mode": "train", "time_backward": 1.325717, "time_data": 0.021209, "time_diff": 1.778682, "time_forward": 0.423107, "time_loss": 0.000752}
[03/28 01:25:37] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5820", "eta": "0:10:49", "loss": 0.115339, "lr": 0.009625, "mode": "train", "time_backward": 1.061385, "time_data": 0.019277, "time_diff": 1.504936, "time_forward": 0.409231, "time_loss": 0.000281}
[03/28 01:25:53] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5830", "eta": "0:10:26", "loss": 0.118975, "lr": 0.009641, "mode": "train", "time_backward": 1.111216, "time_data": 0.019681, "time_diff": 1.688731, "time_forward": 0.557224, "time_loss": 0.000273}
[03/28 01:26:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5840", "eta": "0:10:04", "loss": 0.133714, "lr": 0.009658, "mode": "train", "time_backward": 1.090448, "time_data": 0.021014, "time_diff": 1.563047, "time_forward": 0.401552, "time_loss": 0.000647}
[03/28 01:26:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5850", "eta": "0:09:42", "loss": 0.110017, "lr": 0.009674, "mode": "train", "time_backward": 1.087207, "time_data": 0.022344, "time_diff": 1.576753, "time_forward": 0.451571, "time_loss": 0.000611}
[03/28 01:26:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5860", "eta": "0:09:20", "loss": 0.125330, "lr": 0.009690, "mode": "train", "time_backward": 1.239350, "time_data": 0.054891, "time_diff": 2.242820, "time_forward": 0.919725, "time_loss": 0.000624}
[03/28 01:26:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5870", "eta": "0:08:58", "loss": 0.113248, "lr": 0.009707, "mode": "train", "time_backward": 1.113288, "time_data": 0.017573, "time_diff": 1.541067, "time_forward": 0.399899, "time_loss": 0.000406}
[03/28 01:27:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5880", "eta": "0:08:35", "loss": 0.112876, "lr": 0.009723, "mode": "train", "time_backward": 1.079705, "time_data": 0.017931, "time_diff": 1.602264, "time_forward": 0.479985, "time_loss": 0.000288}
[03/28 01:27:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5890", "eta": "0:08:10", "loss": 0.099267, "lr": 0.009739, "mode": "train", "time_backward": 1.062635, "time_data": 0.017935, "time_diff": 1.486592, "time_forward": 0.401859, "time_loss": 0.000326}
[03/28 01:27:45] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5900", "eta": "0:07:48", "loss": 0.117990, "lr": 0.009756, "mode": "train", "time_backward": 1.060845, "time_data": 0.020089, "time_diff": 1.624945, "time_forward": 0.535290, "time_loss": 0.000273}
[03/28 01:28:01] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5910", "eta": "0:07:25", "loss": 0.121134, "lr": 0.009772, "mode": "train", "time_backward": 1.105970, "time_data": 0.018177, "time_diff": 1.531460, "time_forward": 0.399387, "time_loss": 0.000366}
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[03/28 01:28:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5930", "eta": "0:06:41", "loss": 0.103498, "lr": 0.009805, "mode": "train", "time_backward": 1.101943, "time_data": 0.019520, "time_diff": 1.548588, "time_forward": 0.398813, "time_loss": 0.000256}
[03/28 01:28:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5940", "eta": "0:06:19", "loss": 0.112648, "lr": 0.009821, "mode": "train", "time_backward": 1.054738, "time_data": 0.016951, "time_diff": 1.475212, "time_forward": 0.397670, "time_loss": 0.000248}
[03/28 01:29:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5950", "eta": "0:05:55", "loss": 0.114619, "lr": 0.009837, "mode": "train", "time_backward": 1.058867, "time_data": 0.065343, "time_diff": 1.575301, "time_forward": 0.447450, "time_loss": 0.000383}
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[03/28 01:30:53] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5980", "eta": "0:04:49", "loss": 0.132721, "lr": 0.009886, "mode": "train", "time_backward": 1.113678, "time_data": 0.019517, "time_diff": 1.539584, "time_forward": 0.402888, "time_loss": 0.000269}
[03/28 01:31:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "5990", "eta": "0:04:27", "loss": 0.121789, "lr": 0.009902, "mode": "train", "time_backward": 1.158577, "time_data": 0.017613, "time_diff": 1.600299, "time_forward": 0.420561, "time_loss": 0.000289}
[03/28 01:31:26] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "6000", "eta": "0:04:05", "loss": 0.115179, "lr": 0.009919, "mode": "train", "time_backward": 1.082487, "time_data": 0.019265, "time_diff": 1.514428, "time_forward": 0.402900, "time_loss": 0.000347}
[03/28 01:31:41] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "6010", "eta": "0:03:43", "loss": 0.100979, "lr": 0.009935, "mode": "train", "time_backward": 1.057229, "time_data": 0.019047, "time_diff": 1.480858, "time_forward": 0.400822, "time_loss": 0.000306}
[03/28 01:31:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "6020", "eta": "0:03:21", "loss": 0.111269, "lr": 0.009951, "mode": "train", "time_backward": 1.210028, "time_data": 0.018155, "time_diff": 1.649989, "time_forward": 0.398883, "time_loss": 0.000332}
[03/28 01:32:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "6030", "eta": "0:02:59", "loss": 0.121194, "lr": 0.009968, "mode": "train", "time_backward": 1.088449, "time_data": 0.022479, "time_diff": 1.538458, "time_forward": 0.424613, "time_loss": 0.000382}
[03/28 01:32:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "1", "cur_iter": "6040", "eta": "0:02:36", "loss": 0.108200, "lr": 0.009984, "mode": "train", "time_backward": 1.060879, "time_data": 0.017677, "time_diff": 1.486340, "time_forward": 0.399899, "time_loss": 0.000273}
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[03/28 02:18:53] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "10", "eta": "3:44:42", "loss": 0.123567, "lr": 0.010115, "mode": "train", "time_backward": 1.056743, "time_data": 0.016965, "time_diff": 1.477906, "time_forward": 0.398725, "time_loss": 0.000238}
[03/28 02:20:08] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "20", "eta": "3:44:19", "loss": 0.116037, "lr": 0.010131, "mode": "train", "time_backward": 1.057069, "time_data": 0.017386, "time_diff": 1.480900, "time_forward": 0.399579, "time_loss": 0.000346}
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[03/28 02:45:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "330", "eta": "3:54:22", "loss": 0.117056, "lr": 0.010637, "mode": "train", "time_backward": 4.341770, "time_data": 0.016913, "time_diff": 4.811771, "time_forward": 0.406738, "time_loss": 0.000486}
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[03/28 06:37:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "5560", "eta": "0:28:07", "loss": 0.102542, "lr": 0.019175, "mode": "train", "time_backward": 1.112240, "time_data": 0.016594, "time_diff": 1.534578, "time_forward": 0.402220, "time_loss": 0.000254}
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[03/28 06:59:27] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6010", "eta": "0:05:18", "loss": 0.097497, "lr": 0.019910, "mode": "train", "time_backward": 1.064009, "time_data": 0.017295, "time_diff": 1.481355, "time_forward": 0.399042, "time_loss": 0.000421}
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[03/28 07:02:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6060", "eta": "0:02:42", "loss": 0.093438, "lr": 0.019992, "mode": "train", "time_backward": 1.055165, "time_data": 0.018546, "time_diff": 1.528056, "time_forward": 0.450580, "time_loss": 0.000481}
[03/28 07:02:28] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6070", "eta": "0:02:11", "loss": 0.099585, "lr": 0.020008, "mode": "train", "time_backward": 1.064002, "time_data": 0.016822, "time_diff": 1.482700, "time_forward": 0.399684, "time_loss": 0.000332}
[03/28 07:03:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6080", "eta": "0:01:39", "loss": 0.092680, "lr": 0.020024, "mode": "train", "time_backward": 1.074478, "time_data": 0.033397, "time_diff": 1.713373, "time_forward": 0.598674, "time_loss": 0.000259}
[03/28 07:03:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6090", "eta": "0:01:07", "loss": 0.087654, "lr": 0.020041, "mode": "train", "time_backward": 3.726689, "time_data": 0.017040, "time_diff": 4.148294, "time_forward": 0.398332, "time_loss": 0.000238}
[03/28 07:03:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6100", "eta": "0:00:35", "loss": 0.096394, "lr": 0.020057, "mode": "train", "time_backward": 1.055650, "time_data": 0.016853, "time_diff": 1.476525, "time_forward": 0.399009, "time_loss": 0.000259}
[03/28 07:05:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "2", "cur_iter": "6110", "eta": "0:00:03", "loss": 0.096031, "lr": 0.020073, "mode": "train", "time_backward": 1.055107, "time_data": 0.017093, "time_diff": 1.473318, "time_forward": 0.397713, "time_loss": 0.000202}
[03/28 08:15:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "10", "eta": "5:25:31", "loss": 0.088245, "lr": 0.020090, "mode": "train", "time_backward": 1.058720, "time_data": 0.017308, "time_diff": 1.482401, "time_forward": 0.398824, "time_loss": 0.000263}
[03/28 08:16:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "20", "eta": "5:12:01", "loss": 0.095343, "lr": 0.020106, "mode": "train", "time_backward": 1.099535, "time_data": 0.017079, "time_diff": 1.572367, "time_forward": 0.436709, "time_loss": 0.000539}
[03/28 08:16:40] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "30", "eta": "5:11:30", "loss": 0.099067, "lr": 0.020122, "mode": "train", "time_backward": 1.055915, "time_data": 0.017019, "time_diff": 1.479389, "time_forward": 0.401197, "time_loss": 0.000382}
[03/28 08:17:43] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "40", "eta": "5:11:00", "loss": 0.093708, "lr": 0.020139, "mode": "train", "time_backward": 1.062417, "time_data": 0.017094, "time_diff": 1.486478, "time_forward": 0.399681, "time_loss": 0.000286}
[03/28 08:17:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "50", "eta": "5:10:29", "loss": 0.086447, "lr": 0.020155, "mode": "train", "time_backward": 1.101332, "time_data": 0.017339, "time_diff": 1.528431, "time_forward": 0.402024, "time_loss": 0.000515}
[03/28 08:18:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "60", "eta": "5:09:59", "loss": 0.086376, "lr": 0.020171, "mode": "train", "time_backward": 1.090511, "time_data": 0.035100, "time_diff": 1.576213, "time_forward": 0.409905, "time_loss": 0.000271}
[03/28 08:18:32] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "70", "eta": "5:09:27", "loss": 0.097915, "lr": 0.020188, "mode": "train", "time_backward": 1.098131, "time_data": 0.017466, "time_diff": 1.544425, "time_forward": 0.417252, "time_loss": 0.000260}
[03/28 08:18:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "80", "eta": "5:08:56", "loss": 0.086576, "lr": 0.020204, "mode": "train", "time_backward": 1.079073, "time_data": 0.018955, "time_diff": 1.522204, "time_forward": 0.399641, "time_loss": 0.000243}
[03/28 08:19:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "90", "eta": "5:08:25", "loss": 0.092661, "lr": 0.020220, "mode": "train", "time_backward": 1.069900, "time_data": 0.018517, "time_diff": 1.504988, "time_forward": 0.409030, "time_loss": 0.000270}
[03/28 08:19:21] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "100", "eta": "5:07:54", "loss": 0.094346, "lr": 0.020237, "mode": "train", "time_backward": 1.082513, "time_data": 0.020157, "time_diff": 1.516894, "time_forward": 0.403650, "time_loss": 0.000367}
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[03/28 08:20:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "130", "eta": "5:06:30", "loss": 0.092696, "lr": 0.020286, "mode": "train", "time_backward": 1.056162, "time_data": 0.017616, "time_diff": 1.481192, "time_forward": 0.403721, "time_loss": 0.000396}
[03/28 08:22:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "140", "eta": "5:06:30", "loss": 0.100219, "lr": 0.020302, "mode": "train", "time_backward": 3.929594, "time_data": 0.016587, "time_diff": 4.354867, "time_forward": 0.400856, "time_loss": 0.000318}
[03/28 08:22:18] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "150", "eta": "5:05:59", "loss": 0.090921, "lr": 0.020318, "mode": "train", "time_backward": 1.079217, "time_data": 0.017009, "time_diff": 1.501207, "time_forward": 0.398704, "time_loss": 0.000248}
[03/28 08:22:36] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "160", "eta": "5:05:30", "loss": 0.086049, "lr": 0.020335, "mode": "train", "time_backward": 1.156378, "time_data": 0.016744, "time_diff": 1.711452, "time_forward": 0.423848, "time_loss": 0.000275}
[03/28 08:22:51] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "170", "eta": "5:05:00", "loss": 0.088617, "lr": 0.020351, "mode": "train", "time_backward": 1.118892, "time_data": 0.017829, "time_diff": 1.549158, "time_forward": 0.401321, "time_loss": 0.000389}
[03/28 08:23:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "180", "eta": "5:04:03", "loss": 0.086632, "lr": 0.020367, "mode": "train", "time_backward": 1.056975, "time_data": 0.038294, "time_diff": 1.541623, "time_forward": 0.442366, "time_loss": 0.000649}
[03/28 08:24:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "190", "eta": "5:03:33", "loss": 0.097942, "lr": 0.020384, "mode": "train", "time_backward": 1.069771, "time_data": 0.016942, "time_diff": 1.509725, "time_forward": 0.403264, "time_loss": 0.000283}
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[03/28 08:26:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "230", "eta": "5:02:15", "loss": 0.097027, "lr": 0.020449, "mode": "train", "time_backward": 1.056369, "time_data": 0.018128, "time_diff": 1.479407, "time_forward": 0.400053, "time_loss": 0.000611}
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[03/28 09:04:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1090", "eta": "4:14:17", "loss": 0.082301, "lr": 0.021853, "mode": "train", "time_backward": 1.057265, "time_data": 0.016906, "time_diff": 1.479001, "time_forward": 0.399472, "time_loss": 0.000328}
[03/28 09:04:39] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1100", "eta": "4:13:47", "loss": 0.083181, "lr": 0.021869, "mode": "train", "time_backward": 1.088718, "time_data": 0.018884, "time_diff": 1.518768, "time_forward": 0.404239, "time_loss": 0.001020}
[03/28 09:04:56] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1110", "eta": "4:13:16", "loss": 0.086828, "lr": 0.021886, "mode": "train", "time_backward": 1.055358, "time_data": 0.017450, "time_diff": 1.476544, "time_forward": 0.399411, "time_loss": 0.000340}
[03/28 09:05:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1120", "eta": "4:12:46", "loss": 0.100425, "lr": 0.021902, "mode": "train", "time_backward": 1.100626, "time_data": 0.017515, "time_diff": 1.526347, "time_forward": 0.400072, "time_loss": 0.000257}
[03/28 09:06:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1130", "eta": "4:12:16", "loss": 0.086534, "lr": 0.021918, "mode": "train", "time_backward": 1.057571, "time_data": 0.023062, "time_diff": 1.488366, "time_forward": 0.404295, "time_loss": 0.000260}
[03/28 09:06:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1140", "eta": "4:06:13", "loss": 0.082382, "lr": 0.021934, "mode": "train", "time_backward": 1.057721, "time_data": 0.017272, "time_diff": 1.481327, "time_forward": 0.399159, "time_loss": 0.000304}
[03/28 09:07:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1150", "eta": "4:05:43", "loss": 0.076844, "lr": 0.021951, "mode": "train", "time_backward": 1.057475, "time_data": 0.017137, "time_diff": 1.486272, "time_forward": 0.400001, "time_loss": 0.000244}
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[03/28 09:08:16] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1170", "eta": "4:07:25", "loss": 0.083844, "lr": 0.021983, "mode": "train", "time_backward": 1.057609, "time_data": 0.016758, "time_diff": 1.478276, "time_forward": 0.400314, "time_loss": 0.000474}
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[03/28 09:09:30] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1200", "eta": "4:08:35", "loss": 0.098879, "lr": 0.022032, "mode": "train", "time_backward": 1.245345, "time_data": 15.727960, "time_diff": 17.834522, "time_forward": 0.852786, "time_loss": 0.000400}
[03/28 09:09:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1210", "eta": "4:08:06", "loss": 0.090581, "lr": 0.022049, "mode": "train", "time_backward": 1.126314, "time_data": 0.018029, "time_diff": 1.594850, "time_forward": 0.432110, "time_loss": 0.000265}
[03/28 09:10:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1220", "eta": "4:07:36", "loss": 0.082921, "lr": 0.022065, "mode": "train", "time_backward": 1.054749, "time_data": 0.017785, "time_diff": 1.477522, "time_forward": 0.400075, "time_loss": 0.000419}
[03/28 09:10:31] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1230", "eta": "4:07:04", "loss": 0.106990, "lr": 0.022081, "mode": "train", "time_backward": 1.056438, "time_data": 0.016997, "time_diff": 1.479083, "time_forward": 0.399438, "time_loss": 0.000277}
[03/28 09:11:09] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1240", "eta": "4:09:18", "loss": 0.080252, "lr": 0.022098, "mode": "train", "time_backward": 17.784941, "time_data": 0.017091, "time_diff": 18.328987, "time_forward": 0.398879, "time_loss": 0.000251}
[03/28 09:11:24] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1250", "eta": "4:08:47", "loss": 0.081497, "lr": 0.022114, "mode": "train", "time_backward": 1.080510, "time_data": 0.018040, "time_diff": 1.504652, "time_forward": 0.402146, "time_loss": 0.000270}
[03/28 09:11:42] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1260", "eta": "4:08:16", "loss": 0.085538, "lr": 0.022130, "mode": "train", "time_backward": 1.084356, "time_data": 0.016783, "time_diff": 1.506042, "time_forward": 0.399215, "time_loss": 0.000252}
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[03/28 09:12:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1280", "eta": "4:07:16", "loss": 0.088624, "lr": 0.022163, "mode": "train", "time_backward": 1.057344, "time_data": 0.017577, "time_diff": 1.529068, "time_forward": 0.450605, "time_loss": 0.000296}
[03/28 09:12:49] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1290", "eta": "4:06:49", "loss": 0.090286, "lr": 0.022179, "mode": "train", "time_backward": 1.369125, "time_data": 0.016863, "time_diff": 1.834018, "time_forward": 0.440890, "time_loss": 0.000576}
[03/28 09:13:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1300", "eta": "4:06:19", "loss": 0.090368, "lr": 0.022196, "mode": "train", "time_backward": 1.126806, "time_data": 0.069080, "time_diff": 1.609082, "time_forward": 0.400428, "time_loss": 0.000359}
[03/28 09:13:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1310", "eta": "4:05:49", "loss": 0.095707, "lr": 0.022212, "mode": "train", "time_backward": 1.071296, "time_data": 0.019587, "time_diff": 1.519114, "time_forward": 0.412210, "time_loss": 0.000389}
[03/28 09:13:58] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1320", "eta": "4:05:18", "loss": 0.080042, "lr": 0.022228, "mode": "train", "time_backward": 1.060849, "time_data": 0.017005, "time_diff": 1.489893, "time_forward": 0.399998, "time_loss": 0.000755}
[03/28 09:14:14] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1330", "eta": "4:04:48", "loss": 0.085868, "lr": 0.022245, "mode": "train", "time_backward": 1.062099, "time_data": 0.018726, "time_diff": 1.565620, "time_forward": 0.481182, "time_loss": 0.000353}
[03/28 09:14:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1340", "eta": "4:06:19", "loss": 0.082445, "lr": 0.022261, "mode": "train", "time_backward": 13.861831, "time_data": 0.027268, "time_diff": 14.300714, "time_forward": 0.404609, "time_loss": 0.000490}
[03/28 09:15:46] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1350", "eta": "4:05:48", "loss": 0.089157, "lr": 0.022277, "mode": "train", "time_backward": 1.056501, "time_data": 0.017308, "time_diff": 1.528924, "time_forward": 0.451398, "time_loss": 0.000348}
[03/28 09:16:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1360", "eta": "4:05:18", "loss": 0.088211, "lr": 0.022294, "mode": "train", "time_backward": 1.142398, "time_data": 0.017657, "time_diff": 1.567168, "time_forward": 0.399175, "time_loss": 0.000285}
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[03/28 09:18:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1400", "eta": "4:03:14", "loss": 0.083348, "lr": 0.022359, "mode": "train", "time_backward": 1.092178, "time_data": 0.017592, "time_diff": 1.517945, "time_forward": 0.399977, "time_loss": 0.000442}
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[03/28 09:19:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1430", "eta": "4:01:40", "loss": 0.088006, "lr": 0.022408, "mode": "train", "time_backward": 1.056820, "time_data": 0.033039, "time_diff": 1.503617, "time_forward": 0.406885, "time_loss": 0.000372}
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[03/28 09:19:43] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1450", "eta": "3:58:46", "loss": 0.088458, "lr": 0.022441, "mode": "train", "time_backward": 1.055715, "time_data": 0.018080, "time_diff": 1.478866, "time_forward": 0.401174, "time_loss": 0.000673}
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[03/28 09:27:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1600", "eta": "4:07:08", "loss": 0.093959, "lr": 0.022685, "mode": "train", "time_backward": 1.054565, "time_data": 0.017893, "time_diff": 1.477034, "time_forward": 0.400833, "time_loss": 0.000311}
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[03/28 09:29:04] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1650", "eta": "4:03:12", "loss": 0.093355, "lr": 0.022767, "mode": "train", "time_backward": 1.104643, "time_data": 20.510814, "time_diff": 22.305995, "time_forward": 0.671359, "time_loss": 0.000435}
[03/28 09:29:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1660", "eta": "4:02:39", "loss": 0.078721, "lr": 0.022783, "mode": "train", "time_backward": 1.084654, "time_data": 0.016890, "time_diff": 1.503044, "time_forward": 0.398255, "time_loss": 0.000299}
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[03/28 09:29:59] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1680", "eta": "4:01:17", "loss": 0.084866, "lr": 0.022816, "mode": "train", "time_backward": 1.053468, "time_data": 0.017083, "time_diff": 1.484443, "time_forward": 0.402520, "time_loss": 0.000504}
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[03/28 09:31:46] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1700", "eta": "3:59:41", "loss": 0.080732, "lr": 0.022849, "mode": "train", "time_backward": 1.055405, "time_data": 0.018076, "time_diff": 1.478478, "time_forward": 0.398496, "time_loss": 0.000285}
[03/28 09:32:52] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1710", "eta": "3:59:09", "loss": 0.091940, "lr": 0.022865, "mode": "train", "time_backward": 1.074051, "time_data": 0.017230, "time_diff": 1.527604, "time_forward": 0.401941, "time_loss": 0.000789}
[03/28 09:33:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1720", "eta": "3:58:36", "loss": 0.080457, "lr": 0.022881, "mode": "train", "time_backward": 1.106358, "time_data": 0.016804, "time_diff": 1.525168, "time_forward": 0.398479, "time_loss": 0.000267}
[03/28 09:33:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1730", "eta": "3:58:04", "loss": 0.086597, "lr": 0.022898, "mode": "train", "time_backward": 1.054031, "time_data": 0.032673, "time_diff": 1.501793, "time_forward": 0.399669, "time_loss": 0.000345}
[03/28 09:33:38] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1740", "eta": "3:57:31", "loss": 0.080000, "lr": 0.022914, "mode": "train", "time_backward": 1.056682, "time_data": 0.016910, "time_diff": 1.478125, "time_forward": 0.400860, "time_loss": 0.000516}
[03/28 09:34:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1750", "eta": "3:56:58", "loss": 0.086710, "lr": 0.022930, "mode": "train", "time_backward": 1.071007, "time_data": 0.017066, "time_diff": 1.495992, "time_forward": 0.401481, "time_loss": 0.000294}
[03/28 09:34:20] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1760", "eta": "3:53:11", "loss": 0.095443, "lr": 0.022947, "mode": "train", "time_backward": 1.061338, "time_data": 0.016970, "time_diff": 1.485608, "time_forward": 0.399102, "time_loss": 0.000241}
[03/28 09:35:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1770", "eta": "3:52:40", "loss": 0.085497, "lr": 0.022963, "mode": "train", "time_backward": 1.129293, "time_data": 0.016909, "time_diff": 1.561894, "time_forward": 0.401372, "time_loss": 0.000302}
[03/28 09:35:34] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1780", "eta": "3:46:26", "loss": 0.082589, "lr": 0.022979, "mode": "train", "time_backward": 1.083390, "time_data": 0.017362, "time_diff": 1.510154, "time_forward": 0.401787, "time_loss": 0.000275}
[03/28 09:35:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1790", "eta": "3:45:55", "loss": 0.093356, "lr": 0.022996, "mode": "train", "time_backward": 1.135989, "time_data": 0.017789, "time_diff": 1.569379, "time_forward": 0.401078, "time_loss": 0.000840}
[03/28 09:36:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1800", "eta": "3:46:00", "loss": 0.082021, "lr": 0.023012, "mode": "train", "time_backward": 5.297804, "time_data": 0.017922, "time_diff": 5.722058, "time_forward": 0.399465, "time_loss": 0.000249}
[03/28 09:36:52] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1810", "eta": "3:45:29", "loss": 0.090757, "lr": 0.023028, "mode": "train", "time_backward": 1.151410, "time_data": 0.017932, "time_diff": 1.584210, "time_forward": 0.407667, "time_loss": 0.000364}
[03/28 09:37:07] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1820", "eta": "3:44:58", "loss": 0.087558, "lr": 0.023045, "mode": "train", "time_backward": 1.088130, "time_data": 0.061903, "time_diff": 1.558699, "time_forward": 0.401591, "time_loss": 0.000270}
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[03/28 09:37:50] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1840", "eta": "3:43:55", "loss": 0.092720, "lr": 0.023077, "mode": "train", "time_backward": 1.130893, "time_data": 0.017975, "time_diff": 1.555479, "time_forward": 0.400056, "time_loss": 0.000355}
[03/28 09:38:06] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1850", "eta": "3:43:24", "loss": 0.091989, "lr": 0.023094, "mode": "train", "time_backward": 1.052597, "time_data": 0.016816, "time_diff": 1.474650, "time_forward": 0.398031, "time_loss": 0.000278}
[03/28 09:38:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1860", "eta": "3:33:29", "loss": 0.082401, "lr": 0.023110, "mode": "train", "time_backward": 1.106345, "time_data": 0.017017, "time_diff": 1.525544, "time_forward": 0.398991, "time_loss": 0.000350}
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[03/28 09:39:31] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1880", "eta": "3:32:28", "loss": 0.096977, "lr": 0.023143, "mode": "train", "time_backward": 1.059216, "time_data": 0.017143, "time_diff": 1.518854, "time_forward": 0.438494, "time_loss": 0.000740}
[03/28 09:40:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1890", "eta": "3:34:32", "loss": 0.089984, "lr": 0.023159, "mode": "train", "time_backward": 19.437624, "time_data": 0.016841, "time_diff": 19.859268, "time_forward": 0.398530, "time_loss": 0.000248}
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[03/28 09:41:05] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1920", "eta": "3:33:00", "loss": 0.093095, "lr": 0.023208, "mode": "train", "time_backward": 1.058037, "time_data": 0.019239, "time_diff": 1.481536, "time_forward": 0.398163, "time_loss": 0.000248}
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[03/28 09:42:23] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1940", "eta": "3:30:10", "loss": 0.089757, "lr": 0.023241, "mode": "train", "time_backward": 1.055596, "time_data": 0.017434, "time_diff": 1.480889, "time_forward": 0.399863, "time_loss": 0.000377}
[03/28 09:43:22] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1950", "eta": "3:29:41", "loss": 0.084817, "lr": 0.023257, "mode": "train", "time_backward": 1.057621, "time_data": 0.017543, "time_diff": 1.569466, "time_forward": 0.490653, "time_loss": 0.000451}
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[03/28 09:45:03] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "3", "cur_iter": "1970", "eta": "3:28:40", "loss": 0.076120, "lr": 0.023290, "mode": "train", "time_backward": 1.095112, "time_data": 0.017896, "time_diff": 1.523926, "time_forward": 0.403022, "time_loss": 0.000468}
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[03/28 13:34:19] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "4", "cur_iter": "1470", "eta": "2:31:19", "loss": 0.068177, "lr": 0.032448, "mode": "train", "time_backward": 1.056157, "time_data": 0.017030, "time_diff": 1.482808, "time_forward": 0.401952, "time_loss": 0.000376}
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[03/28 17:27:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2000", "eta": "2:12:16", "loss": 0.060827, "lr": 0.043289, "mode": "train", "time_backward": 1.082905, "time_data": 0.018925, "time_diff": 1.821281, "time_forward": 0.715569, "time_loss": 0.000605}
[03/28 17:27:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2010", "eta": "2:12:30", "loss": 0.057767, "lr": 0.043305, "mode": "train", "time_backward": 5.239832, "time_data": 0.022573, "time_diff": 5.667977, "time_forward": 0.399135, "time_loss": 0.000251}
[03/28 17:28:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2020", "eta": "2:12:11", "loss": 0.057888, "lr": 0.043321, "mode": "train", "time_backward": 1.057073, "time_data": 0.017373, "time_diff": 1.481628, "time_forward": 0.403553, "time_loss": 0.000491}
[03/28 17:28:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2030", "eta": "2:11:51", "loss": 0.057140, "lr": 0.043337, "mode": "train", "time_backward": 1.100587, "time_data": 0.016714, "time_diff": 1.523407, "time_forward": 0.399538, "time_loss": 0.000334}
[03/28 17:29:02] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2040", "eta": "2:11:32", "loss": 0.053013, "lr": 0.043354, "mode": "train", "time_backward": 1.150490, "time_data": 0.017518, "time_diff": 1.579497, "time_forward": 0.402508, "time_loss": 0.000313}
[03/28 17:29:18] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2050", "eta": "2:11:12", "loss": 0.054267, "lr": 0.043370, "mode": "train", "time_backward": 1.055885, "time_data": 0.018249, "time_diff": 1.478650, "time_forward": 0.400611, "time_loss": 0.000684}
[03/28 17:29:56] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2060", "eta": "2:10:53", "loss": 0.055660, "lr": 0.043386, "mode": "train", "time_backward": 1.065032, "time_data": 0.037009, "time_diff": 1.587320, "time_forward": 0.470565, "time_loss": 0.000297}
[03/28 17:30:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2070", "eta": "2:10:34", "loss": 0.058711, "lr": 0.043403, "mode": "train", "time_backward": 1.054949, "time_data": 0.016675, "time_diff": 1.475767, "time_forward": 0.398590, "time_loss": 0.000263}
[03/28 17:30:47] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2080", "eta": "2:10:16", "loss": 0.059303, "lr": 0.043419, "mode": "train", "time_backward": 1.105960, "time_data": 0.018055, "time_diff": 1.618317, "time_forward": 0.431271, "time_loss": 0.000256}
[03/28 17:31:14] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2090", "eta": "2:11:12", "loss": 0.064037, "lr": 0.043435, "mode": "train", "time_backward": 10.640812, "time_data": 0.017092, "time_diff": 11.076156, "time_forward": 0.401132, "time_loss": 0.000943}
[03/28 17:31:31] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2100", "eta": "2:11:10", "loss": 0.062169, "lr": 0.043452, "mode": "train", "time_backward": 3.215830, "time_data": 0.017294, "time_diff": 3.636506, "time_forward": 0.399996, "time_loss": 0.000240}
[03/28 17:31:57] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2110", "eta": "2:10:50", "loss": 0.058431, "lr": 0.043468, "mode": "train", "time_backward": 1.063115, "time_data": 0.017137, "time_diff": 1.487557, "time_forward": 0.398871, "time_loss": 0.000266}
[03/28 17:32:13] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2120", "eta": "2:10:24", "loss": 0.063620, "lr": 0.043484, "mode": "train", "time_backward": 1.058087, "time_data": 0.018024, "time_diff": 1.523375, "time_forward": 0.399536, "time_loss": 0.000359}
[03/28 17:32:29] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2130", "eta": "2:10:05", "loss": 0.061237, "lr": 0.043501, "mode": "train", "time_backward": 1.120780, "time_data": 0.024629, "time_diff": 1.572247, "time_forward": 0.405821, "time_loss": 0.000273}
[03/28 17:32:54] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2140", "eta": "2:09:42", "loss": 0.063446, "lr": 0.043517, "mode": "train", "time_backward": 1.057308, "time_data": 0.016879, "time_diff": 1.478939, "time_forward": 0.400171, "time_loss": 0.000346}
[03/28 17:33:10] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2150", "eta": "2:09:22", "loss": 0.057618, "lr": 0.043533, "mode": "train", "time_backward": 1.075359, "time_data": 0.016894, "time_diff": 1.511239, "time_forward": 0.411163, "time_loss": 0.000267}
[03/28 17:33:25] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2160", "eta": "2:08:59", "loss": 0.052811, "lr": 0.043550, "mode": "train", "time_backward": 1.055598, "time_data": 0.016896, "time_diff": 1.476751, "time_forward": 0.399703, "time_loss": 0.000297}
[03/28 17:34:11] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2170", "eta": "2:08:38", "loss": 0.059543, "lr": 0.043566, "mode": "train", "time_backward": 1.059720, "time_data": 0.016879, "time_diff": 1.486106, "time_forward": 0.398153, "time_loss": 0.000272}
[03/28 17:34:35] pa.utils.logging INFO: json_stats: {"_type": "train_iter", "cur_epoch": "5", "cur_iter": "2180", "eta": "2:09:24", "loss": 0.063249, "lr": 0.043582, "mode": "train", "time_backward": 9.451243, "
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