tensorflow / tensorflow/datasets
tfds.load to GCS hangs
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bug
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
Repro snippet:
! Please use your own writable GCS bucket in place of "your_bucket"
tfds.load(name="caltech_birds2011", shuffle_files=True, data_dir="gs://your_bucket")
Hangs indefinitely with "Extraction completed...: 0% 0/2 [00:21<?, ? file/s]"
- Operating System: Linux (Vertex AI Workbench default)
- Python version: 3.6
tensorflow-datasets/tfds-nightlyversion: 4.6.0tensorflow/tf-nightlyversion: 2.9.1- Does the issue still exists with the last
tfds-nightlypackage (pip install --upgrade tfds-nightly) YES
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.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file or test is named. Start by running the provided tfds.load reproduction with a writable GCS bucket under the listed Python, TensorFlow, and TFDS versions, then trace the extraction path responsible for the 0% hang. Done means the load completes without hanging and the behavior is covered by an appropriate regression test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- google-cloud, python, tensorflow
- Domain
- cloud, data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100