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Add new GA models (next set) #12398
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Add new GA models (next set) #12398
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12398
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Cancelled Job, 7 Unrelated FailuresAs of commit 0ad47d3 with merge base 7c300e7 ( NEW FAILURE - The following job has failed:
CANCELLED JOB - The following job was cancelled. Please retry:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Added 8 new representative models to ExecutorTorch examples: EfficientNet-B4: Image classification with CNN architecture DETR-ResNet50: Object detection using transformer decoder SegFormer-ADE: Semantic segmentation transformer Swin2SR: Super-resolution with Swin transformer ALBERT: Lightweight BERT for NLP tasks TrOCR: Optical character recognition transformer Wav2Vec2: Cross-lingual speech representation learning All models include XNNPACK backend support with appropriate quantization configurations and full CI integration. Test plan: Validate model export and execution with portable backend Test XNNPACK delegation and quantization (with appropriate exclusions) Integrate into CI workflows for automated testing Verify all models perform their intended tasks accurately
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Summary: Add a few more tasks: 1. Image-Text Understanding (OpenCLIP) 2. Semantic Text Search (Sentence Transformers) 3. Document Q&A (DistilBERT QA) 4. Practical Image Enhancement (Real-ESRGAN) 5. Audio Classification (AST) 6. Text Sentiment Analysis (RoBERTa) 7. Depth estimation (Depth Anything 2)
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@mergennachin - As I was going through this list, I realized most of them are from HF transformers. So, [1] https://github.com/huggingface/optimum-executorch/tree/main/tests/models |
Add next set of GA models
Summary:
On top of #12340
Add a few more tasks: