fix(HuggingFace, v1.2): drop unused TensorFlow import in sentiment analysis codegen - #7315
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… codegen (#6809) ### What changes were proposed in this PR? `HuggingFaceSentimentAnalysisOpDesc.generatePythonCode` emitted an import for `TFAutoModelForSequenceClassification` that the generated body never uses — the model is loaded through the PyTorch `AutoModelForSequenceClassification`. The symbol does not exist in the pinned `transformers`: the library dropped its TensorFlow backend in 5.0, and `amber/operator-requirements.txt` has been on 5.x since #5016 (5.5.0 today). So the import is not dead weight — it raises `ImportError` at module load and takes the whole generated script down before any inference runs, on every environment that installs the pinned requirements. Fix — remove the unused import: ```diff from transformers import pipeline from transformers import AutoModelForSequenceClassification -from transformers import TFAutoModelForSequenceClassification from transformers import AutoTokenizer, AutoConfig ``` ### Any related issues, documentation, discussions? Closes #6794 ### How was this PR tested? Manually, per @Yicong-Huang's request: the existing spec asserts on the emitted text and `py_compile` only parses it, so neither executes the template. The template was dumped from `generatePythonCode` (columns `text` → `pos`/`neu`/`neg`) and run against the `pytexera` in `amber/src/main/python`, in a virtualenv with the pinned `transformers` 5.5.0 and `numpy` 2.1.0. main's stops at line 4 with `ImportError: cannot import name 'TFAutoModelForSequenceClassification' from 'transformers'`, before the class body is defined; this PR's loads `cardiffnlp/twitter-roberta-base-sentiment-latest` and classifies all three rows, each row's three columns summing to 1: | text | pos | neu | neg | | --- | --- | --- | --- | | I love this new feature, it works beautifully! | 0.9884 | 0.007 | 0.0046 | | The meeting is scheduled for 3pm in room 204. | 0.0433 | 0.9438 | 0.0129 | | This is the worst release we have ever shipped. | 0.0066 | 0.0423 | 0.951 | ### Was this PR authored or co-authored using generative AI tooling? Generated-by: Claude Code (Claude Opus 4.8) --------- (backported from commit 2ae9a97) Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: carloea2 <carloea2@uci.edu> Co-authored-by: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Co-authored-by: Xuan Gu <162244362+xuang7@users.noreply.github.com>
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The cherry-pick applied cleanly but the backported tree failed its pre-merge build. Fix the build on this branch, then mark this PR ready for review. |
xuang7
approved these changes
Aug 5, 2026
…-import-in-sentime-v1.2
xuang7
enabled auto-merge
August 5, 2026 06:30
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What changes were proposed in this PR?
Automated backport of #6809 to
release/v1.2.Source: 2ae9a97 · automation run
Any related issues, documentation, discussions?
Backport of #6809. Originally linked #6794.
How was this PR tested?
Release-branch CI runs on this branch once the build is fixed and this PR is marked ready for review.
Was this PR authored or co-authored using generative AI tooling?
No.