Export of Openai Whisper with batched prompts#19854
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YUNQIUGUO merged 9 commits intomicrosoft:mainfrom Apr 3, 2024
Merged
Export of Openai Whisper with batched prompts#19854YUNQIUGUO merged 9 commits intomicrosoft:mainfrom
YUNQIUGUO merged 9 commits intomicrosoft:mainfrom
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onnxruntime/python/tools/transformers/models/whisper/whisper_helper.py
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onnxruntime/python/tools/transformers/models/whisper/whisper_encoder_decoder_init.py
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Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
kunal-vaishnavi
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Apr 2, 2024
YUNQIUGUO
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Adds an example to demonstrate the export of openai whipser implemenation with batch_size > 1 and addition of prompts for each audio snippet. Also handles the scenario for when prompts are not of the same size. For example if our prompt ids are [p1_id_1, p1_id_2] and [p2_id_1], the final decoder_input_ids will look as such after padding: `[prev_token, p1_id_1, p1_id_2, start_token, lang_token, transcribe_token] [prev_token, p2_id_1, PAD_TOKEN, start_token, lang_token, transcribe_token]` --------- Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
TedThemistokleous
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May 7, 2024
Adds an example to demonstrate the export of openai whipser implemenation with batch_size > 1 and addition of prompts for each audio snippet. Also handles the scenario for when prompts are not of the same size. For example if our prompt ids are [p1_id_1, p1_id_2] and [p2_id_1], the final decoder_input_ids will look as such after padding: `[prev_token, p1_id_1, p1_id_2, start_token, lang_token, transcribe_token] [prev_token, p2_id_1, PAD_TOKEN, start_token, lang_token, transcribe_token]` --------- Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
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Adds an example to demonstrate the export of openai whipser implemenation with batch_size > 1 and addition of prompts for each audio snippet.
Also handles the scenario for when prompts are not of the same size. For example if our prompt ids are [p1_id_1, p1_id_2] and [p2_id_1], the final decoder_input_ids will look as such after padding:
[prev_token, p1_id_1, p1_id_2, start_token, lang_token, transcribe_token] [prev_token, p2_id_1, PAD_TOKEN, start_token, lang_token, transcribe_token]