tensorflow / tensorflow/models
TypeError: Expected int32 passed to parameter 'n' of op 'QueueDequeueManyV2', got 1.0 of type 'float' instead.
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@aquariusjay is already working on this.
Since Jul 17, 2020.
models:research
type:bug
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Description
Prerequisites
Please answer the following questions for yourself before submitting an issue.
- I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- I am reporting the issue to the correct repository. (Model Garden official or research directory)
- 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
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.