0616039115
* Implemented a new version of Kernel and the CustomOp to support output that matches the HuggingFace model's input without the need for intermediate python logic. * Implemented a e2e tutorial for exporting and inferencing using the HuggingFace's QuestionAnsering model. Known Issue: Python side doesn't have an implementation of Bert Decoder and so the augmented model is only half-complete. At the time of inferencing the HuggingFace tokenizer is used to decode the result back to string. |
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| .. | ||
| data/gpt-2 | ||
| bert_e2e.py | ||
| cpp_custom_ops_tutorial.md | ||
| gpt2bs.py | ||
| hf_bert_e2e.py | ||
| imagenet_processing.ipynb | ||
| pytorch_custom_ops_tutorial.ipynb | ||
| tf2onnx_custom_ops_tutorial.ipynb | ||