offline-source-separation-model-config.cc
1.3 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
// sherpa-onnx/csrc/offline-source-separation-model-config.cc
//
// Copyright (c) 2025 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-source-separation-model-config.h"
#include "sherpa-onnx/csrc/macros.h"
namespace sherpa_onnx {
void OfflineSourceSeparationModelConfig::Register(ParseOptions *po) {
spleeter.Register(po);
uvr.Register(po);
po->Register("num-threads", &num_threads,
"Number of threads to run the neural network");
po->Register("debug", &debug,
"true to print model information while loading it.");
po->Register("provider", &provider,
"Specify a provider to use: cpu, cuda, coreml");
}
bool OfflineSourceSeparationModelConfig::Validate() const {
if (!spleeter.vocals.empty()) {
return spleeter.Validate();
}
if (!uvr.model.empty()) {
return uvr.Validate();
}
SHERPA_ONNX_LOGE("Please specify a source separation model");
return false;
}
std::string OfflineSourceSeparationModelConfig::ToString() const {
std::ostringstream os;
os << "OfflineSourceSeparationModelConfig(";
os << "spleeter=" << spleeter.ToString() << ", ";
os << "uvr=" << uvr.ToString() << ", ";
os << "num_threads=" << num_threads << ", ";
os << "debug=" << (debug ? "True" : "False") << ", ";
os << "provider=\"" << provider << "\")";
return os.str();
}
} // namespace sherpa_onnx