pretrained model not loadable

using predict.py, while loading final model downloaded using the link in README returns following error: OutOfRangeError (see above for traceback): Read less bytes than requested [[node save_2/RestoreV2 (defined at /nfs/CLEF2019/e2e-coref-master/coref_model.py:90) ]] Can you please share a new link to the pretrained model. Thanks
2020-07-16 20:30:15.205796: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2020-07-16 20:30:15.229038: E tensorflow/stream_executor/cuda/cuda_driver.cc:300] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2020-07-16 20:30:15.229075: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:155] no NVIDIA GPU device is present: /dev/nvidia0 does not exist
2020-07-16 20:30:15.230836: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3600000000 Hz
2020-07-16 20:30:15.232275: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x30ee060 executing computations on platform Host. Devices:
2020-07-16 20:30:15.232299: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
Restoring from logs/final/model.max.ckpt
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-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.
W0716 20:30:16.235934 140203840706368 deprecation.py:323] From /usr/local/lib/python3.6/dist-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.
2020-07-16 20:30:16.470614: 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 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.OutOfRangeError: Read less bytes than requested
         [[{{node save_2/RestoreV2}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "predict.py", line 24, in <module>
    model.restore(session)
  File "/nfs/CLEF2019/e2e-coref-master/coref_model.py", line 94, in restore
    saver.restore(session, checkpoint_path)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1276, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 929, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    run_metadata)
  File "/usr/local/lib/python3.6/dist-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_2/RestoreV2 (defined at /nfs/CLEF2019/e2e-coref-master/coref_model.py:90) ]]

Caused by op 'save_2/RestoreV2', defined at:
  File "predict.py", line 24, in <module>
    model.restore(session)
  File "/nfs/CLEF2019/e2e-coref-master/coref_model.py", line 90, in restore
    saver = tf.train.Saver(vars_to_restore)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 832, in __init__
    self.build()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 844, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 881, in _build
    build_save=build_save, build_restore=build_restore)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 513, in _build_internal
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 332, in _AddRestoreOps
    restore_sequentially)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 580, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1572, in restore_v2
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-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_2/RestoreV2 (defined at /nfs/CLEF2019/e2e-coref-master/coref_model.py:90) ]]
kentonl / e2e-coref

pretrained model not loadable #93
