Prerequisites

Please answer the following questions for yourself before submitting an issue.

[ ] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
[x] I am reporting the issue to the correct repository. (Model Garden official or research directory)
[x] I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/feelvos

2. Describe the bug

I got the following error when running bash train.sh. The README doesn't tell us which TF to use. See also #8877

Traceback (most recent call last):
  File "/mnt/lustre/xiehaozhe/Development/feelvos/train.py", line 630, in <module>
    tf.app.run()
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/platform/app.p
y", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/absl/app.py", line 299, in run
    _run_main(main, args)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main
    sys.exit(main(argv))
  File "/mnt/lustre/xiehaozhe/Development/feelvos/train.py", line 405, in main
    three_frame_dataset)])
  File "/mnt/lustre/xiehaozhe/Development/feelvos/train.py", line 403, in <listcomp>
    three_frame_dataset_ in zip(FLAGS.dataset, FLAGS.dataset_dir,
  File "/mnt/lustre/xiehaozhe/Development/feelvos/train.py", line 622, in _get_dataset_and_samples
    add_prev_frame_label=not FLAGS.also_attend_to_previous_frame
  File "/mnt/lustre/xiehaozhe/Development/feelvos/utils/video_input_generator.py", line 537, in get
    dynamic_pad=True)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/util/deprecati
on.py", line 324, in new_func
    return func(*args, **kwargs)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/training/input
.py", line 1077, in maybe_batch
    name=name)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/training/input
.py", line 789, in _batch
    dequeued = queue.dequeue_many(batch_size, name=name)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/ops/data_flow_
ops.py", line 489, in dequeue_many
    self._queue_ref, n=n, component_types=self._dtypes, name=name)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/ops/gen_data_f
low_ops.py", line 3862, in queue_dequeue_many_v2
    timeout_ms=timeout_ms, name=name)
  File "/mnt/lustre/xiehaozhe/Applications/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/framework/op_d
ef_library.py", line 537, in _apply_op_helper
    repr(values), type(values).__name__, err))
TypeError: Expected int32 passed to parameter 'n' of op 'QueueDequeueManyV2', got 1.0 of type 'float' instead. Error: 
Expected int32, got 1.0 of type 'float' instead.

3. Steps to reproduce

bash train.sh

4. Expected behavior

The program runs normally without raising TypeError: Expected int32 passed to parameter 'n' of op 'QueueDequeueManyV2', got 1.0 of type 'float' instead.'.

5. Additional context

None

6. System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Cent OS 7.3
Mobile device name if the issue happens on a mobile device: N/a
TensorFlow installed from (source or binary): Binary
TensorFlow version (use command below): 1.14.0 / 1.15.3
Python version: 3.6.5
Bazel version (if compiling from source): N/a
GCC/Compiler version (if compiling from source): 5.4.0
CUDA/cuDNN version: 9.0
GPU model and memory: NVIDIA TITAN Xp / 12GB

tensorflow / models

TypeError: Expected int32 passed to parameter 'n' of op 'QueueDequeueManyV2', got 1.0 of type 'float' instead. #8878