35 lines
936 B
C++
35 lines
936 B
C++
// sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc
|
|
//
|
|
// Copyright (c) 2023 Xiaomi Corporation
|
|
|
|
#include "sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.h"
|
|
|
|
#include <vector>
|
|
|
|
namespace sherpa_onnx {
|
|
|
|
std::vector<OfflineParaformerDecoderResult>
|
|
OfflineParaformerGreedySearchDecoder::Decode(Ort::Value /*log_probs*/,
|
|
Ort::Value token_num) {
|
|
std::vector<int64_t> shape = token_num.GetTensorTypeAndShapeInfo().GetShape();
|
|
int32_t batch_size = shape[0];
|
|
int32_t num_tokens = shape[1];
|
|
|
|
std::vector<OfflineParaformerDecoderResult> results(batch_size);
|
|
|
|
const int64_t *p = token_num.GetTensorData<int64_t>();
|
|
for (int32_t i = 0; i != batch_size; ++i) {
|
|
for (int32_t k = 0; k != num_tokens; ++k) {
|
|
if (p[k] == eos_id_) break;
|
|
|
|
results[i].tokens.push_back(p[k]);
|
|
}
|
|
|
|
p += num_tokens;
|
|
}
|
|
|
|
return results;
|
|
}
|
|
|
|
} // namespace sherpa_onnx
|