tensorflow / tensorflow/datasets
No examples were yielded in 'the300w_lp' datasets
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bug
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Description
When performing the following code in colab:
import tensorflow_datasets as tfds
tfds.load("the300w_lp")
The error:
Shuffling and writing examples to /root/tensorflow_datasets/the300w_lp/1.0.0.incompleteOUFQPN/the300w_lp-train.tfrecord
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-8-d9a26eef8c59> in <module>()
1 import tensorflow_datasets as tfds
----> 2 tfds.load("the300w_lp")
7 frames
/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/tfrecords_writer.py in _get_shard_boundaries(num_examples, number_of_shards)
114 ) -> List[int]:
115 if num_examples == 0:
--> 116 raise AssertionError("No examples were yielded.")
117 if num_examples < number_of_shards:
118 raise AssertionError("num_examples ({}) < number_of_shards ({})".format(
AssertionError: No examples were yielded.
The 'coco', 'mnist' etc. were loaded successfully. So I think there was something wrong with 'the300w_lp'.
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.
Research direction
Start by running the reported tfds.load("the300w_lp") example and tracing the dataset's generation path to determine why it yields no examples. Done means the dataset loads successfully and produces examples without the No examples were yielded assertion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100