[Relax][PyTorch] Add mul_.Tensor, max.default, min.default and pow.Scalar Op Support into Exported Program Frontend #17843
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Hzfengsy
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Apr 18, 2025
ShiboXing
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Aug 10, 2025
…alar Op Support into Exported Program Frontend (apache#17843) * add mapping to the missing binary ops * add test script for the supported ops --------- Co-authored-by: deivanayakisankaralingam <deiva@Deivanayaki>
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This pull request adds support for the following operations in the exported program frontend for TVM Relax: mul_.Tensor, max.default, min.default, and pow.Scalar. These operations enable efficient inference for various models across multiple domains, including text generation, object detection, and image classification.
Supported Operations and Models:
tinyBloom- Text Classification:
ms-marco-MiniLM-L6-v2- Image Classification:
microsoft/beit-base-patch16-224-pt22k-ft22k- ASR:
openai/whisper-base.en- Depth Estimation:
Intel/dpt-beit-large-512T5-Base_GNAD- Text Classification:
twitter-roberta-base-sentiment-latest- Text2Text Generation:
google/flan-t5-smallmicrosoft/table-transformer-detection,facebook/detr-resnet-50- Image Segmentation:
facebook/mask2former-swin-tiny-coco-instance