tensorflow / tensorflow/recommenders
ValueError: Shape must be rank 2 but is rank 3
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 300
- PR merge metrics
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Description
ValueError: Shape must be rank 2 but is rank 3 for '{{node concat}} = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32](args_0, args_2, concat/axis)' with input shapes: [128,0], [?,128,100], [].
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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Research direction
The issue provides only a TensorFlow ValueError and tensor shapes; it names no source files, tests, or entry points. Start by obtaining the affected model code and a minimal reproduction, then locate the concat operation and add a regression test that confirms the input ranks are compatible.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100