58 lines
1.4 KiB
C++
58 lines
1.4 KiB
C++
// sherpa-onnx/csrc/offline-model-config.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-model-config.h"
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#include <string>
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#include "sherpa-onnx/csrc/file-utils.h"
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#include "sherpa-onnx/csrc/macros.h"
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namespace sherpa_onnx {
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void OfflineModelConfig::Register(ParseOptions *po) {
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transducer.Register(po);
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paraformer.Register(po);
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po->Register("tokens", &tokens, "Path to tokens.txt");
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po->Register("num-threads", &num_threads,
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"Number of threads to run the neural network");
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po->Register("debug", &debug,
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"true to print model information while loading it.");
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}
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bool OfflineModelConfig::Validate() const {
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if (num_threads < 1) {
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SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
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return false;
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}
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if (!FileExists(tokens)) {
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SHERPA_ONNX_LOGE("%s does not exist", tokens.c_str());
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return false;
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}
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if (!paraformer.model.empty()) {
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return paraformer.Validate();
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}
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return transducer.Validate();
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}
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std::string OfflineModelConfig::ToString() const {
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std::ostringstream os;
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os << "OfflineModelConfig(";
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os << "transducer=" << transducer.ToString() << ", ";
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os << "paraformer=" << paraformer.ToString() << ", ";
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os << "tokens=\"" << tokens << "\", ";
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os << "num_threads=" << num_threads << ", ";
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os << "debug=" << (debug ? "True" : "False") << ")";
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return os.str();
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}
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} // namespace sherpa_onnx
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