OutOfRangeError (see above for traceback): Read less bytes than requested

[ghost]

Hi I am trying to infer with the pre-trained model you provided. I am using one of the .PLY files from ScanNet dataset. But it just gives the same error;

The command I use to infer:

python main.py --mode predict --config sessions/session_0/config.json --colors datasets/scannet/metadata/colors.txt --input datasets/scene0000_00_vh_clean_2.labels.ply

The error logs are:

Loaded configuration from: sessions/session_0/config.json
Size: 8.424978, 8.743941, 3.025378, # Points: 81369
Model Receptive Field Size: 9.000000, 9.000000, 3.600000
2019-12-18 15:59:51.956596: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-18 15:59:52.045512: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-12-18 15:59:52.046023: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x563cab617650 executing computations on platform CUDA. Devices:
2019-12-18 15:59:52.046042: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): GeForce GTX 1060 with Max-Q Design, Compute Capability 6.1
2019-12-18 15:59:52.065024: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2808000000 Hz
2019-12-18 15:59:52.066188: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x563cab67fdb0 executing computations on platform Host. Devices:
2019-12-18 15:59:52.066248: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
2019-12-18 15:59:52.067183: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties: 
name: GeForce GTX 1060 with Max-Q Design major: 6 minor: 1 memoryClockRate(GHz): 1.3415
pciBusID: 0000:01:00.0
totalMemory: 5.94GiB freeMemory: 5.24GiB
2019-12-18 15:59:52.067247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-12-18 15:59:52.069467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-12-18 15:59:52.069515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0 
2019-12-18 15:59:52.069535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N 
2019-12-18 15:59:52.070138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5067 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060 with Max-Q Design, pci bus id: 0000:01:00.0, compute capability: 6.1)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  * https://github.com/tensorflow/addons
If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From /home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From util/util.py:960: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
WARNING:tensorflow:From /home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
2019-12-18 15:59:54.401315: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Out of range: Read less bytes than requested
Traceback (most recent call last):
  File "main.py", line 31, in <module>
    main()
  File "main.py", line 24, in main
    inference.predict(cla.config, cla.input, cla.device, cla.colors)
  File "/home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py", line 186, in predict
    sess, placeholders, pred_op, pointnet_locations, constant_features = setup_model(model, receptive_field_size, points.shape[0], config['model']['pointnet']['spacing'], config['dataset']['num_learnable_classes'], checkpoint_path, device)
  File "/home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py", line 87, in setup_model
    tf.train.Saver().restore(sess, checkpoint_path)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1276, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 929, in run
    run_metadata_ptr)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    run_metadata)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: Read less bytes than requested
	 [[node save/RestoreV2 (defined at /home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py:87) ]]
	 [[node save/RestoreV2 (defined at /home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py:87) ]]

Caused by op u'save/RestoreV2', defined at:
  File "main.py", line 31, in <module>
    main()
  File "main.py", line 24, in main
    inference.predict(cla.config, cla.input, cla.device, cla.colors)
  File "/home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py", line 186, in predict
    sess, placeholders, pred_op, pointnet_locations, constant_features = setup_model(model, receptive_field_size, points.shape[0], config['model']['pointnet']['spacing'], config['dataset']['num_learnable_classes'], checkpoint_path, device)
  File "/home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py", line 87, in setup_model
    tf.train.Saver().restore(sess, checkpoint_path)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 832, in __init__
    self.build()
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 844, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 881, in _build
    build_save=build_save, build_restore=build_restore)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 513, in _build_internal
    restore_sequentially, reshape)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 332, in _AddRestoreOps
    restore_sequentially)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 580, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1572, in restore_v2
    name=name)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
    op_def=op_def)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
    op_def=op_def)
  File "/home/x23/miniconda3/envs/pcs2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
    self._traceback = tf_stack.extract_stack()

OutOfRangeError (see above for traceback): Read less bytes than requested
	 [[node save/RestoreV2 (defined at /home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py:87) ]]
	 [[node save/RestoreV2 (defined at /home/x23/workspace_3D_pc/fully-convolutional-point-network/inference.py:87) ]]

[shymaz]

I even tried with increasing the RAM size to 32 (previously it was 16). I looked at other sources, this problem might arise because of corrupted checkpoint file. Is it possible?