segmentation fault

[menghuadeng]

Hi, I copied my dataset to ./data/train folder, then I ran the sh inference_SRGAN command, but the code not work, it reminded "segmentaion fault" and no other error. The detail is as follows, can you tell what the problem may be, thank you. @brade31919

/PycharmProjects/SRGAN-tensorflow$ sh inference_SRGAN.sh
/home/menghua/anaconda3/lib/python3.6/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
[Configurations]:
output_dir: <absl.flags._flag.Flag object at 0x7f0e9163d1d0>
summary_dir: <absl.flags._flag.Flag object at 0x7f0e50c65c18>
mode: <absl.flags._flag.Flag object at 0x7f0e50c65c88>
checkpoint: <absl.flags._flag.Flag object at 0x7f0e50c74048>
pre_trained_model: <absl.flags._flag.BooleanFlag object at 0x7f0e50c74128>
pre_trained_model_type: <absl.flags._flag.Flag object at 0x7f0e50c869b0>
is_training: <absl.flags._flag.BooleanFlag object at 0x7f0e50c86e48>
vgg_ckpt: <absl.flags._flag.Flag object at 0x7f0e50c22630>
task: <absl.flags._flag.Flag object at 0x7f0e50c226a0>
batch_size: <absl.flags._flag.Flag object at 0x7f0e50c22748>
input_dir_LR: <absl.flags._flag.Flag object at 0x7f0e50c227f0>
input_dir_HR: <absl.flags._flag.Flag object at 0x7f0e50c22860>
flip: <absl.flags._flag.BooleanFlag object at 0x7f0e50c22898>
random_crop: <absl.flags._flag.BooleanFlag object at 0x7f0e50c22908>
crop_size: <absl.flags._flag.Flag object at 0x7f0e50c229b0>
name_queue_capacity: <absl.flags._flag.Flag object at 0x7f0e50c22a58>
image_queue_capacity: <absl.flags._flag.Flag object at 0x7f0e50c22b00>
queue_thread: <absl.flags._flag.Flag object at 0x7f0e50c22ba8>
num_resblock: <absl.flags._flag.Flag object at 0x7f0e50c22c50>
perceptual_mode: <absl.flags._flag.Flag object at 0x7f0e50c22cf8>
EPS: <absl.flags._flag.Flag object at 0x7f0e50c22dd8>
ratio: <absl.flags._flag.Flag object at 0x7f0e50c22e80>
vgg_scaling: <absl.flags._flag.Flag object at 0x7f0e50c22f28>
learning_rate: <absl.flags._flag.Flag object at 0x7f0e50c22f98>
decay_step: <absl.flags._flag.Flag object at 0x7f0e50c2b048>
decay_rate: <absl.flags._flag.Flag object at 0x7f0e50c2b0b8>
stair: <absl.flags._flag.BooleanFlag object at 0x7f0e50c2b0f0>
beta: <absl.flags._flag.Flag object at 0x7f0e50c2b1d0>
max_epoch: <absl.flags._flag.Flag object at 0x7f0e50c2b278>
max_iter: <absl.flags._flag.Flag object at 0x7f0e50c2b2e8>
display_freq: <absl.flags._flag.Flag object at 0x7f0e50c2b358>
summary_freq: <absl.flags._flag.Flag object at 0x7f0e50c2b400>
save_freq: <absl.flags._flag.Flag object at 0x7f0e50c2b4a8>
End of configuration
Finish building the network
2018-09-04 16:08:21.109872: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-09-04 16:08:21.114524: I tensorflow/core/common_runtime/process_util.cc:69] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Loading weights from the pre-trained model
Evaluation starts!!
Segmentation fault

[lxk1990727]

same too

[CognitiveClouds-Prasad]

Same here. I am facing the same problem for few of the images only though.