tensorflow / tensorflow/models
Unable to train CenterNet MobileNetV2 FPN with transfer learning
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Description
Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [ x] 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
2. Describe the bug
I am trying to train the centernet_mobilenetv2_fpn_od using the following tutorial:
https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#preparing-the-workspace
I used this tutorial previously to train ssd_mobilenet_v2 and it worked fine. I followed the same steps for centernet, but I recieve the following error:
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0] = 0 is not in [0, 0)
3. Steps to reproduce
Follow this guide:
https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#preparing-the-workspace
but using the centernet_mobiletv2 model form the model zoo.
4. Expected behavior
CenterNet trains through transfer learning.
5. Additional context
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/context.py", line 2113, in execution_mode
yield
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/iterator_ops.py", line 733, in _next_internal
output_shapes=self._flat_output_shapes)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_dataset_ops.py", line 2579, in iterator_get_next
_ops.raise_from_not_ok_status(e, name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 6862, in raise_from_not_ok_status
six.raise_from(core._status_to_exception(e.code, message), None)
File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0] = 0 is not in [0, 0)
[[{{node GatherV2_8}}]]
[[MultiDeviceIteratorGetNextFromShard]]
[[RemoteCall]] [Op:IteratorGetNext]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "model_main_tf2.py", line 113, in <module>
tf.compat.v1.app.run()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 303, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "model_main_tf2.py", line 110, in main
record_summaries=FLAGS.record_summaries)
File "/content/drive/.shortcut-targets-by-id/1MNY3RVQFiMLhbbLGrZjkYHlMWIQeK7FY/Colab Notebooks/Tensorflow/workspace/training_demo/object_detection/model_lib_v2.py", line 597, in train_loop
train_input, unpad_groundtruth_tensors)
File "/content/drive/.shortcut-targets-by-id/1MNY3RVQFiMLhbbLGrZjkYHlMWIQeK7FY/Colab Notebooks/Tensorflow/workspace/training_demo/object_detection/model_lib_v2.py", line 392, in load_fine_tune_checkpoint
_ensure_model_is_built(model, input_dataset, unpad_groundtruth_tensors)
File "/content/drive/.shortcut-targets-by-id/1MNY3RVQFiMLhbbLGrZjkYHlMWIQeK7FY/Colab Notebooks/Tensorflow/workspace/training_demo/object_detection/model_lib_v2.py", line 155, in _ensure_model_is_built
features, labels = iter(input_dataset).next()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/input_lib.py", line 628, in next
return self.__next__()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/input_lib.py", line 632, in __next__
return self.get_next()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/input_lib.py", line 663, in get_next
self._iterators[i].get_next_as_list_static_shapes(new_name))
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/input_lib.py", line 1619, in get_next_as_list_static_shapes
return self._format_data_list_with_options(self._iterator.get_next())
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/multi_device_iterator_ops.py", line 585, in get_next
result.append(self._device_iterators[i].get_next())
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/iterator_ops.py", line 800, in get_next
return self._next_internal()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/iterator_ops.py", line 739, in _next_internal
return structure.from_compatible_tensor_list(self._element_spec, ret)
File "/usr/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/context.py", line 2116, in execution_mode
executor_new.wait()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/executor.py", line 69, in wait
pywrap_tfe.TFE_ExecutorWaitForAllPendingNodes(self._handle)
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0] = 0 is not in [0, 0)
[[{{node GatherV2_8}}]]
[[MultiDeviceIteratorGetNextFromShard]]
[[RemoteCall]]
6. System information
running on Google Collab. the following is installed before training:
- tf_slim
- lvis
- tf-models-official
- tensorflow-gpu
python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"
yeilds:
v2.4.1-0-g85c8b2a817f 2.4.1
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Assessment
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