Problems with python3 train/train.py

[ya2]

Trying to train with the CPU (just to know training works), RF 1.1.0 , then:

tom@ubuntu:~/FastMaskRCNN-master$ python3 train/train.py P4 P3 P2 P5 anchor_scales = [8, 16, 32] anchor_scales = [4, 8, 16] anchor_scales = [2, 4, 8] anchor_scales = [1, 2, 4] 5 4 3 2 /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gradients_impl.py:93: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory. "Converting sparse IndexedSlices to a dense Tensor of unknown shape. " 2017-08-16 04:01:39.273422: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-16 04:01:39.273483: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-16 04:01:39.273497: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. --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 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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(640) vars from ./data/pretrained_models/resnet_v1_50.ckpt Killed