spoken-language-identification-impl.cc
2.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
// sherpa-onnx/csrc/spoken-language-identification-impl.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/spoken-language-identification-impl.h"
#include <memory>
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/spoken-language-identification-whisper-impl.h"
namespace sherpa_onnx {
namespace {
enum class ModelType {
kWhisper,
kUnknown,
};
}
static ModelType GetModelType(char *model_data, size_t model_data_length,
bool debug) {
Ort::Env env(ORT_LOGGING_LEVEL_WARNING);
Ort::SessionOptions sess_opts;
auto sess = std::make_unique<Ort::Session>(env, model_data, model_data_length,
sess_opts);
Ort::ModelMetadata meta_data = sess->GetModelMetadata();
if (debug) {
std::ostringstream os;
PrintModelMetadata(os, meta_data);
SHERPA_ONNX_LOGE("%s", os.str().c_str());
}
Ort::AllocatorWithDefaultOptions allocator;
auto model_type =
meta_data.LookupCustomMetadataMapAllocated("model_type", allocator);
if (!model_type) {
SHERPA_ONNX_LOGE(
"No model_type in the metadata!\n"
"Please make sure you have added metadata to the model.\n\n"
"For instance, you can use\n"
"https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/whisper/"
"export-onnx.py "
"to add metadata to models from whisper\n");
return ModelType::kUnknown;
}
auto model_type_str = std::string(model_type.get());
if (model_type_str.find("whisper") == 0) {
return ModelType::kWhisper;
} else {
SHERPA_ONNX_LOGE("Unsupported model_type: %s", model_type.get());
return ModelType::kUnknown;
}
}
std::unique_ptr<SpokenLanguageIdentificationImpl>
SpokenLanguageIdentificationImpl::Create(
const SpokenLanguageIdentificationConfig &config) {
ModelType model_type = ModelType::kUnknown;
{
if (config.whisper.encoder.empty()) {
SHERPA_ONNX_LOGE("Only whisper models are supported at present");
exit(-1);
}
auto buffer = ReadFile(config.whisper.encoder);
model_type = GetModelType(buffer.data(), buffer.size(), config.debug);
}
switch (model_type) {
case ModelType::kWhisper:
return std::make_unique<SpokenLanguageIdentificationWhisperImpl>(config);
case ModelType::kUnknown:
SHERPA_ONNX_LOGE(
"Unknown model type for spoken language identification!");
return nullptr;
}
// unreachable code
return nullptr;
}
} // namespace sherpa_onnx