54 lines
1.5 KiB
C++
54 lines
1.5 KiB
C++
// sherpa-onnx/csrc/offline-punctuation-model-config.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-punctuation-model-config.h"
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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 OfflinePunctuationModelConfig::Register(ParseOptions *po) {
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po->Register("ct-transformer", &ct_transformer,
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"Path to the controllable time-delay (CT) transformer model");
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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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po->Register("provider", &provider,
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"Specify a provider to use: cpu, cuda, coreml");
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}
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bool OfflinePunctuationModelConfig::Validate() const {
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if (ct_transformer.empty()) {
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SHERPA_ONNX_LOGE("Please provide --ct-transformer");
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return false;
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}
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if (!FileExists(ct_transformer)) {
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SHERPA_ONNX_LOGE("--ct-transformer %s does not exist",
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ct_transformer.c_str());
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return false;
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}
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return true;
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}
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std::string OfflinePunctuationModelConfig::ToString() const {
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std::ostringstream os;
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os << "OfflinePunctuationModelConfig(";
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os << "ct_transformer=\"" << ct_transformer << "\", ";
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os << "num_threads=" << num_threads << ", ";
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os << "debug=" << (debug ? "True" : "False") << ", ";
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os << "provider=\"" << provider << "\")";
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return os.str();
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}
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} // namespace sherpa_onnx
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