Open filwu8 opened 1 year ago
Remove --min-active=200 in config file model/conf/model.conf
And use https://alphacephei.com/vosk/models/vosk-model-cn-0.22.zip, it is much more accurate
when i Remove --min-active=200 in config file model/conf/model.conf AND And use https://alphacephei.com/vosk/models/vosk-model-cn-0.22.zip
IT’s wrong
WARNING ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:243) Not in compute-exclusive mode. Suggestion: use 'nvidia-smi -c 3' to set compute exclusive mode
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:438) Selecting from 1 GPUs
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:453) cudaSetDevice(0): NVIDIA GeForce RTX 3090 free:23286M, used:1289M, total:24575M, free/total:0.947529
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:501) Device: 0, mem_ratio: 0.947529
LOG ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:382) Trying to select device: 0
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:511) Success selecting device 0 free mem ratio: 0.947529
LOG ([5.5.1027~1-59386]:FinalizeActiveGpu():cu-device.cc:338) The active GPU is [0]: NVIDIA GeForce RTX 3090 free:22780M, used:1795M, total:24575M, free/total:0.926939 version 8.6
LOG ([5.5.1027~1-59386]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 0 orphan nodes.
LOG ([5.5.1027~1-59386]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 0 orphan components.
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:52) Loading HCLG from model/graph/HCLG.fst
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:56) Loading words from model/graph/words.txt
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:64) Loading winfo model/graph/phones/word_boundary.int
ERROR ([5.5.1027~1-59386]:ReadConfigFile():parse-options.cc:462) Cannot open config file: model/conf/ivector.conf
[ Stack-Trace: ]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogMessage() const+0x7fe) [0x7f19ff9021de]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x2a) [0x7f19ff403aca]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::ParseOptions::ReadConfigFile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x6cd) [0x7f19ff8f6fbd]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(void kaldi::ReadConfigFromFile<kaldi::OnlineIvectorExtractionConfig>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, kaldi::OnlineIvectorExtractionConfig*)+0x239) [0x7f19ff4db0c9]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::OnlineNnet2FeaturePipelineInfo::OnlineNnet2FeaturePipelineInfo(kaldi::OnlineNnet2FeaturePipelineConfig const&)+0x79a) [0x7f19ff4f098a]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::ReadParametersFromModel()+0x44) [0x7f19ff4afd34]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::Initialize(fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&)+0x16) [0x7f19ff4b0586]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::BatchedThreadedNnet3CudaOnlinePipeline(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipelineConfig const&, fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&, kaldi::nnet3::AmNnetSimple const&, kaldi::TransitionModel const&)+0x952) [0x7f19ff4a70e2]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(BatchModel::BatchModel()+0x93f) [0x7f19ff4a3aaf]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(vosk_batch_model_new+0x20) [0x7f19ff4a0120]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x6ff5) [0x7f1a028d2ff5]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x640a) [0x7f1a028d240a]
/usr/lib/python3/dist-packages/_cffi_backend.cpython-38-x86_64-linux-gnu.so(+0x1afd7) [0x7f1a028f8fd7]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3(_PyEval_EvalFrameDefault+0x5cf4) [0x570674]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3() [0x59bf26]
python3(_PyObject_MakeTpCall+0x1ff) [0x5f3d7f]
python3(_PyEval_EvalFrameDefault+0x58e6) [0x570266]
python3() [0x5002d8]
/usr/lib/python3.8/lib-dynload/_asyncio.cpython-38-x86_64-linux-gnu.so(+0x7ef9) [0x7f1a031d8ef9]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3() [0x5fef43]
python3() [0x5c4927]
python3(PyVectorcall_Call+0x18d) [0x5f2f5d]
python3(_PyEval_EvalFrameDefault+0x68ed) [0x57126d]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(_PyFunction_Vectorcall+0x393) [0x5f6a13]
python3(_PyEval_EvalFrameDefault+0x56b5) [0x570035]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(PyEval_EvalCode+0x27) [0x68d047]
python3() [0x67e351]
python3() [0x67e3cf]
python3() [0x67e471]
python3(PyRun_SimpleFileExFlags+0x197) [0x67e817]
python3(Py_RunMain+0x212) [0x6b6fe2]
python3(Py_BytesMain+0x2d) [0x6b736d]
/usr/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf3) [0x7f1a035540b3]
python3(_start+0x2e) [0x5fa5ce]
terminate called after throwing an instance of 'kaldi::KaldiFatalError'
what(): kaldi::KaldiFatalError
WARNING ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:243) Not in compute-exclusive mode. Suggestion: use 'nvidia-smi -c 3' to set compute exclusive mode
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:438) Selecting from 1 GPUs
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:453) cudaSetDevice(0): NVIDIA GeForce RTX 3090 free:23286M, used:1289M, total:24575M, free/total:0.947529
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:501) Device: 0, mem_ratio: 0.947529
LOG ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:382) Trying to select device: 0
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:511) Success selecting device 0 free mem ratio: 0.947529
LOG ([5.5.1027~1-59386]:FinalizeActiveGpu():cu-device.cc:338) The active GPU is [0]: NVIDIA GeForce RTX 3090 free:22780M, used:1795M, total:24575M, free/total:0.926939 version 8.6
LOG ([5.5.1027~1-59386]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 0 orphan nodes.
LOG ([5.5.1027~1-59386]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 0 orphan components.
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:52) Loading HCLG from model/graph/HCLG.fst
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:56) Loading words from model/graph/words.txt
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:64) Loading winfo model/graph/phones/word_boundary.int
ERROR ([5.5.1027~1-59386]:ReadConfigFile():parse-options.cc:462) Cannot open config file: model/conf/ivector.conf
[ Stack-Trace: ]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogMessage() const+0x7fe) [0x7f3bb3af11de]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x2a) [0x7f3bb35f2aca]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::ParseOptions::ReadConfigFile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x6cd) [0x7f3bb3ae5fbd]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(void kaldi::ReadConfigFromFile<kaldi::OnlineIvectorExtractionConfig>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, kaldi::OnlineIvectorExtractionConfig*)+0x239) [0x7f3bb36ca0c9]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::OnlineNnet2FeaturePipelineInfo::OnlineNnet2FeaturePipelineInfo(kaldi::OnlineNnet2FeaturePipelineConfig const&)+0x79a) [0x7f3bb36df98a]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::ReadParametersFromModel()+0x44) [0x7f3bb369ed34]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::Initialize(fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&)+0x16) [0x7f3bb369f586]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::BatchedThreadedNnet3CudaOnlinePipeline(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipelineConfig const&, fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&, kaldi::nnet3::AmNnetSimple const&, kaldi::TransitionModel const&)+0x952) [0x7f3bb36960e2]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(BatchModel::BatchModel()+0x93f) [0x7f3bb3692aaf]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(vosk_batch_model_new+0x20) [0x7f3bb368f120]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x6ff5) [0x7f3bb6ac1ff5]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x640a) [0x7f3bb6ac140a]
/usr/lib/python3/dist-packages/_cffi_backend.cpython-38-x86_64-linux-gnu.so(+0x1afd7) [0x7f3bb6ae7fd7]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3(_PyEval_EvalFrameDefault+0x5cf4) [0x570674]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3() [0x59bf26]
python3(_PyObject_MakeTpCall+0x1ff) [0x5f3d7f]
python3(_PyEval_EvalFrameDefault+0x58e6) [0x570266]
python3() [0x5002d8]
/usr/lib/python3.8/lib-dynload/_asyncio.cpython-38-x86_64-linux-gnu.so(+0x7ef9) [0x7f3bb73c7ef9]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3() [0x5fef43]
python3() [0x5c4927]
python3(PyVectorcall_Call+0x18d) [0x5f2f5d]
python3(_PyEval_EvalFrameDefault+0x68ed) [0x57126d]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(_PyFunction_Vectorcall+0x393) [0x5f6a13]
python3(_PyEval_EvalFrameDefault+0x56b5) [0x570035]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(PyEval_EvalCode+0x27) [0x68d047]
python3() [0x67e351]
python3() [0x67e3cf]
python3() [0x67e471]
python3(PyRun_SimpleFileExFlags+0x197) [0x67e817]
python3(Py_RunMain+0x212) [0x6b6fe2]
python3(Py_BytesMain+0x2d) [0x6b736d]
/usr/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf3) [0x7f3bb77430b3]
python3(_start+0x2e) [0x5fa5ce]
terminate called after throwing an instance of 'kaldi::KaldiFatalError'
what(): kaldi::KaldiFatalError
WARNING ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:243) Not in compute-exclusive mode. Suggestion: use 'nvidia-smi -c 3' to set compute exclusive mode
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:438) Selecting from 1 GPUs
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:453) cudaSetDevice(0): NVIDIA GeForce RTX 3090 free:23286M, used:1289M, total:24575M, free/total:0.947529
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:501) Device: 0, mem_ratio: 0.947529
LOG ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:382) Trying to select device: 0
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:511) Success selecting device 0 free mem ratio: 0.947529
LOG ([5.5.1027~1-59386]:FinalizeActiveGpu():cu-device.cc:338) The active GPU is [0]: NVIDIA GeForce RTX 3090 free:22780M, used:1795M, total:24575M, free/total:0.926939 version 8.6
LOG ([5.5.1027~1-59386]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 0 orphan nodes.
LOG ([5.5.1027~1-59386]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 0 orphan components.
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:52) Loading HCLG from model/graph/HCLG.fst
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:56) Loading words from model/graph/words.txt
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:64) Loading winfo model/graph/phones/word_boundary.int
ERROR ([5.5.1027~1-59386]:ReadConfigFile():parse-options.cc:462) Cannot open config file: model/conf/ivector.conf
[ Stack-Trace: ]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogMessage() const+0x7fe) [0x7ffbd46451de]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x2a) [0x7ffbd4146aca]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::ParseOptions::ReadConfigFile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x6cd) [0x7ffbd4639fbd]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(void kaldi::ReadConfigFromFile<kaldi::OnlineIvectorExtractionConfig>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, kaldi::OnlineIvectorExtractionConfig*)+0x239) [0x7ffbd421e0c9]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::OnlineNnet2FeaturePipelineInfo::OnlineNnet2FeaturePipelineInfo(kaldi::OnlineNnet2FeaturePipelineConfig const&)+0x79a) [0x7ffbd423398a]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::ReadParametersFromModel()+0x44) [0x7ffbd41f2d34]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::Initialize(fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&)+0x16) [0x7ffbd41f3586]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::BatchedThreadedNnet3CudaOnlinePipeline(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipelineConfig const&, fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&, kaldi::nnet3::AmNnetSimple const&, kaldi::TransitionModel const&)+0x952) [0x7ffbd41ea0e2]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(BatchModel::BatchModel()+0x93f) [0x7ffbd41e6aaf]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(vosk_batch_model_new+0x20) [0x7ffbd41e3120]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x6ff5) [0x7ffbd7615ff5]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x640a) [0x7ffbd761540a]
/usr/lib/python3/dist-packages/_cffi_backend.cpython-38-x86_64-linux-gnu.so(+0x1afd7) [0x7ffbd763bfd7]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3(_PyEval_EvalFrameDefault+0x5cf4) [0x570674]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3() [0x59bf26]
python3(_PyObject_MakeTpCall+0x1ff) [0x5f3d7f]
python3(_PyEval_EvalFrameDefault+0x58e6) [0x570266]
python3() [0x5002d8]
/usr/lib/python3.8/lib-dynload/_asyncio.cpython-38-x86_64-linux-gnu.so(+0x7ef9) [0x7ffbd7f1bef9]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3() [0x5fef43]
python3() [0x5c4927]
python3(PyVectorcall_Call+0x18d) [0x5f2f5d]
python3(_PyEval_EvalFrameDefault+0x68ed) [0x57126d]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(_PyFunction_Vectorcall+0x393) [0x5f6a13]
python3(_PyEval_EvalFrameDefault+0x56b5) [0x570035]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(PyEval_EvalCode+0x27) [0x68d047]
python3() [0x67e351]
python3() [0x67e3cf]
python3() [0x67e471]
python3(PyRun_SimpleFileExFlags+0x197) [0x67e817]
python3(Py_RunMain+0x212) [0x6b6fe2]
python3(Py_BytesMain+0x2d) [0x6b736d]
/usr/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf3) [0x7ffbd82970b3]
python3(_start+0x2e) [0x5fa5ce]
terminate called after throwing an instance of 'kaldi::KaldiFatalError'
what(): kaldi::KaldiFatalError
WARNING ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:243) Not in compute-exclusive mode. Suggestion: use 'nvidia-smi -c 3' to set compute exclusive mode
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:438) Selecting from 1 GPUs
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:453) cudaSetDevice(0): NVIDIA GeForce RTX 3090 free:23286M, used:1289M, total:24575M, free/total:0.947529
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:501) Device: 0, mem_ratio: 0.947529
LOG ([5.5.1027~1-59386]:SelectGpuId():cu-device.cc:382) Trying to select device: 0
LOG ([5.5.1027~1-59386]:SelectGpuIdAuto():cu-device.cc:511) Success selecting device 0 free mem ratio: 0.947529
LOG ([5.5.1027~1-59386]:FinalizeActiveGpu():cu-device.cc:338) The active GPU is [0]: NVIDIA GeForce RTX 3090 free:22780M, used:1795M, total:24575M, free/total:0.926939 version 8.6
LOG ([5.5.1027~1-59386]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 0 orphan nodes.
LOG ([5.5.1027~1-59386]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 0 orphan components.
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:52) Loading HCLG from model/graph/HCLG.fst
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:56) Loading words from model/graph/words.txt
LOG ([5.5.1027~1-59386]:BatchModel():batch_model.cc:64) Loading winfo model/graph/phones/word_boundary.int
ERROR ([5.5.1027~1-59386]:ReadConfigFile():parse-options.cc:462) Cannot open config file: model/conf/ivector.conf
[ Stack-Trace: ]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogMessage() const+0x7fe) [0x7f869a2a21de]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x2a) [0x7f8699da3aca]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::ParseOptions::ReadConfigFile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x6cd) [0x7f869a296fbd]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(void kaldi::ReadConfigFromFile<kaldi::OnlineIvectorExtractionConfig>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, kaldi::OnlineIvectorExtractionConfig*)+0x239) [0x7f8699e7b0c9]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::OnlineNnet2FeaturePipelineInfo::OnlineNnet2FeaturePipelineInfo(kaldi::OnlineNnet2FeaturePipelineConfig const&)+0x79a) [0x7f8699e9098a]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::ReadParametersFromModel()+0x44) [0x7f8699e4fd34]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::Initialize(fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&)+0x16) [0x7f8699e50586]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipeline::BatchedThreadedNnet3CudaOnlinePipeline(kaldi::cuda_decoder::BatchedThreadedNnet3CudaOnlinePipelineConfig const&, fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&, kaldi::nnet3::AmNnetSimple const&, kaldi::TransitionModel const&)+0x952) [0x7f8699e470e2]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(BatchModel::BatchModel()+0x93f) [0x7f8699e43aaf]
/usr/local/lib/python3.8/dist-packages/vosk-0.3.32-py3.8.egg/vosk/libvosk.so(vosk_batch_model_new+0x20) [0x7f8699e40120]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x6ff5) [0x7f869d272ff5]
/usr/lib/x86_64-linux-gnu/libffi.so.7(+0x640a) [0x7f869d27240a]
/usr/lib/python3/dist-packages/_cffi_backend.cpython-38-x86_64-linux-gnu.so(+0x1afd7) [0x7f869d298fd7]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3(_PyEval_EvalFrameDefault+0x5cf4) [0x570674]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3() [0x59bf26]
python3(_PyObject_MakeTpCall+0x1ff) [0x5f3d7f]
python3(_PyEval_EvalFrameDefault+0x58e6) [0x570266]
python3() [0x5002d8]
/usr/lib/python3.8/lib-dynload/_asyncio.cpython-38-x86_64-linux-gnu.so(+0x7ef9) [0x7f869db78ef9]
python3(_PyObject_MakeTpCall+0x29e) [0x5f3e1e]
python3() [0x5fef43]
python3() [0x5c4927]
python3(PyVectorcall_Call+0x18d) [0x5f2f5d]
python3(_PyEval_EvalFrameDefault+0x68ed) [0x57126d]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyFunction_Vectorcall+0x1b6) [0x5f6836]
python3(_PyEval_EvalFrameDefault+0x85a) [0x56b1da]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(_PyFunction_Vectorcall+0x393) [0x5f6a13]
python3(_PyEval_EvalFrameDefault+0x56b5) [0x570035]
python3(_PyEval_EvalCodeWithName+0x26a) [0x56939a]
python3(PyEval_EvalCode+0x27) [0x68d047]
python3() [0x67e351]
python3() [0x67e3cf]
python3() [0x67e471]
python3(PyRun_SimpleFileExFlags+0x197) [0x67e817]
python3(Py_RunMain+0x212) [0x6b6fe2]
python3(Py_BytesMain+0x2d) [0x6b736d]
/usr/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf3) [0x7f869def40b3]
python3(_start+0x2e) [0x5fa5ce]
terminate called after throwing an instance of 'kaldi::KaldiFatalError'
what(): kaldi::KaldiFatalError
when i volumes model vosk-model-cn-kaldi-multicn-0.15,it's happend i‘m used image: alphacep/kaldi-vosk-server-gpu