EngineX-Iluvatar/enginex_bi_series-sherpa-onnx
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Limit number of tokens per second for whisper. (#1958)

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Otherwise, it spends lots of time in the loop if the EOT token
is not predicted.
This commit is contained in:
Fangjun Kuang
2025-03-04 15:45:28 +08:00
committed by GitHub
parent 49177530ff
commit 209eaaae1d
4 changed files with 14 additions and 6 deletions
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10
sherpa-onnx/csrc/offline-whisper-greedy-search-decoder.cc
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@@ -19,7 +19,8 @@ void OfflineWhisperGreedySearchDecoder::SetConfig(
std::vector<OfflineWhisperDecoderResult>
OfflineWhisperGreedySearchDecoder::Decode(Ort::Value cross_k,
Ort::Value cross_v) {
Ort::Value cross_v,
int32_t num_feature_frames) {
auto memory_info =
Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
@@ -99,7 +100,12 @@ OfflineWhisperGreedySearchDecoder::Decode(Ort::Value cross_k,
int32_t n_text_ctx = model_->TextCtx();
std::vector<int32_t> predicted_tokens;
for (int32_t i = 0; i < n_text_ctx / 2; ++i) {
// assume at most 6 tokens per second
int32_t num_possible_tokens = num_feature_frames / 100 * 6;
num_possible_tokens = std::min<int32_t>(num_possible_tokens, n_text_ctx / 2);
for (int32_t i = 0; i < num_possible_tokens; ++i) {
if (max_token_id == model_->EOT()) {
break;
}