meta-pytorch / meta-pytorch/data
Enforce the version of Protobuf via the optional dependency
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
🐛 Describe the bug
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
Versions
Lastest version.
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
Start with torchdata/datapipes/iter/util/protobuf_template/_tfrecord_example_pb2.py at the linked descriptor code, then inspect the repository's dependency metadata for the optional Protobuf dependency. Reproduce the import error with the latest dependency and verify that the supported version constraint prevents the generated-code incompatibility.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100