a trouble in train.py

[bbidong]

When I run python train/train.py , it shows me as the follow , I guess there is something wrong , but the process next don't appear error , I don't know if it's true ,please help me !

--restore_previous_if_exists is set, but failed to restore in ./output/mask_rcnn/ None restoring resnet_v1_50/conv1/weights:0 restoring resnet_v1_50/conv1/BatchNorm/beta:0 restoring resnet_v1_50/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/weights:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/weights:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/weights:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/weights:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/weights:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/weights:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/weights:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0 restoring resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0 restoring resnet_v1_50/logits/weights:0 restoring resnet_v1_50/logits/biases:0 Restored 267(544) vars from ./data/pretrained_models/resnet_v1_50.ckpt

[Hxx2048]

it just show the parameters are loaded correctly in tensor. not errors