decoder for open vocabulary keyword spotting (#505)
* various fixes to ContextGraph to support open vocabulary keywords decoder * Add keyword spotter runtime * Add binary * First version works * Minor fixes * update text2token * default values * Add jni for kws * add kws android project * Minor fixes * Remove unused interface * Minor fixes * Add workflow * handle extra info in texts * Minor fixes * Add more comments * Fix ci * fix cpp style * Add input box in android demo so that users can specify their keywords * Fix cpp style * Fix comments * Minor fixes * Minor fixes * minor fixes * Minor fixes * Minor fixes * Add CI * Fix code style * cpplint * Fix comments * Fix error
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@@ -93,8 +93,8 @@ OfflineTransducerModifiedBeamSearchDecoder::Decode(
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Repeat(model_->Allocator(), &cur_encoder_out, hyps_row_splits);
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// now cur_encoder_out is of shape (num_hyps, joiner_dim)
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Ort::Value logit = model_->RunJoiner(
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std::move(cur_encoder_out), View(&decoder_out));
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Ort::Value logit =
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model_->RunJoiner(std::move(cur_encoder_out), View(&decoder_out));
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float *p_logit = logit.GetTensorMutableData<float>();
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LogSoftmax(p_logit, vocab_size, num_hyps);
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@@ -134,8 +134,8 @@ OfflineTransducerModifiedBeamSearchDecoder::Decode(
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if (context_graphs[i] != nullptr) {
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auto context_res =
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context_graphs[i]->ForwardOneStep(context_state, new_token);
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context_score = context_res.first;
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new_hyp.context_state = context_res.second;
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context_score = std::get<0>(context_res);
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new_hyp.context_state = std::get<1>(context_res);
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}
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}
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