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Catch exception from whisper (#408)

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This commit is contained in:
Fangjun Kuang
2023-11-05 11:10:24 +08:00
committed by GitHub
parent d1a450bf82
commit 606cb26a62
1 changed files with 15 additions and 7 deletions
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16
sherpa-onnx/csrc/offline-recognizer-whisper-impl.h
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@@ -107,8 +107,10 @@ class OfflineRecognizerWhisperImpl : public OfflineRecognizerImpl {
int32_t num_frames = f.size() / feat_dim;
if (num_frames > max_num_frames) {
SHERPA_ONNX_LOGE("Only waves less than 30 seconds are supported.");
exit(-1);
SHERPA_ONNX_LOGE(
"Only waves less than 30 seconds are supported. We process only the "
"first 30 seconds and discard the remaining data");
num_frames = max_num_frames;
}
NormalizeFeatures(f.data(), num_frames, feat_dim);
@@ -124,13 +126,19 @@ class OfflineRecognizerWhisperImpl : public OfflineRecognizerImpl {
(max_num_frames - num_frames) * feat_dim * sizeof(float));
mel = Transpose12(model_->Allocator(), &mel);
try {
auto cross_kv = model_->ForwardEncoder(std::move(mel));
auto results =
decoder_->Decode(std::move(cross_kv.first), std::move(cross_kv.second));
auto results = decoder_->Decode(std::move(cross_kv.first),
std::move(cross_kv.second));
auto r = Convert(results[0], symbol_table_);
s->SetResult(r);
} catch (const Ort::Exception &ex) {
SHERPA_ONNX_LOGE("\n\nCaught exception:\n\n%s\n\nReturn an empty result",
ex.what());
return;
}
}
private: