Basic Error

[Imbernoulli]

I follow the direction and error happens.

(pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# virtualenv -p python3 $HOME/tmp/deepspeech-venv/
created virtual environment CPython3.6.9.final.0-64 in 306ms
  creator CPython3Posix(dest=/root/tmp/deepspeech-venv, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/root/.local/share/virtualenv)
    added seed packages: pip==21.3.1, setuptools==59.6.0, wheel==0.37.1
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
(pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# source $HOME/tmp/deepspeech-venv/bin/activate
(deepspeech-venv) (pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# pip3 install deepspeech
Looking in indexes: https://10.251.102.1:443/simple
Collecting deepspeech
  Using cached https://10.251.102.1:443/packages/6a/d4/790e77b46e76f5bada961b02e8f8afec2455f42d134c1730ae84e276de64/deepspeech-0.9.3-cp36-cp36m-manylinux1_x86_64.whl (9.2 MB)
Collecting numpy
  Downloading https://10.251.102.1:443/packages/14/32/d3fa649ad7ec0b82737b92fefd3c4dd376b0bb23730715124569f38f3a08/numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl (14.8 MB)
     |################################| 14.8 MB 1.9 MB/s            
Installing collected packages: numpy, deepspeech
Successfully installed deepspeech-0.9.3 numpy-1.19.5
(deepspeech-venv) (pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# pip3 install --upgrade deepspeech
Looking in indexes: https://10.251.102.1:443/simple
Requirement already satisfied: deepspeech in /root/tmp/deepspeech-venv/lib/python3.6/site-packages (0.9.3)
Requirement already satisfied: numpy in /root/tmp/deepspeech-venv/lib/python3.6/site-packages (from deepspeech) (1.19.5)
(deepspeech-venv) (pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# pip3 install --upgrade deepspeech-gpu
Looking in indexes: https://10.251.102.1:443/simple
Collecting deepspeech-gpu
  Using cached https://10.251.102.1:443/packages/59/ff/f0a16fabbad933f1e5eca297840d0ed3582ee9ddb0ac996823cca7a61c1a/deepspeech_gpu-0.9.3-cp36-cp36m-manylinux1_x86_64.whl (22.3 MB)
Requirement already satisfied: numpy in /root/tmp/deepspeech-venv/lib/python3.6/site-packages (from deepspeech-gpu) (1.19.5)
Installing collected packages: deepspeech-gpu
Successfully installed deepspeech-gpu-0.9.3
(deepspeech-venv) (pytorch) root@8ikb0p7c24u18-0:/bjzhyai03/bohan# deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio my_audio_file.wav
2024-03-21 13:41:30.288967: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2024-03-21 13:41:30.289045: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Loading model from file deepspeech-0.9.3-models.pbmm
TensorFlow: v2.3.0-6-g23ad988
DeepSpeech: v0.9.3-0-gf2e9c85
2024-03-21 13:41:30.423185: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-21 13:41:30.437042: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2024-03-21 13:41:32.468837: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:0e:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.469786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 1 with properties: 
pciBusID: 0000:0f:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.470612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 2 with properties: 
pciBusID: 0000:1f:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.471419: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 3 with properties: 
pciBusID: 0000:20:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.472184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 4 with properties: 
pciBusID: 0000:b5:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.473097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 5 with properties: 
pciBusID: 0000:b6:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.473874: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 6 with properties: 
pciBusID: 0000:ce:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.474625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 7 with properties: 
pciBusID: 0000:cf:00.0 name: NVIDIA A100-SXM4-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2024-03-21 13:41:32.474895: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2024-03-21 13:41:32.475047: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory
2024-03-21 13:41:32.478016: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2024-03-21 13:41:32.478639: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2024-03-21 13:41:32.484268: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2024-03-21 13:41:32.484412: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcusparse.so.10'; dlerror: libcusparse.so.10: cannot open shared object file: No such file or directory
2024-03-21 13:41:32.484512: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory
2024-03-21 13:41:32.484542: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2024-03-21 13:41:32.484759: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2024-03-21 13:41:32.484786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 1 2 3 4 5 6 7 
2024-03-21 13:41:32.484835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N Y Y Y Y Y Y Y 
2024-03-21 13:41:32.484863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 1:   Y N Y Y Y Y Y Y 
2024-03-21 13:41:32.484883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 2:   Y Y N Y Y Y Y Y 
2024-03-21 13:41:32.484903: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 3:   Y Y Y N Y Y Y Y 
2024-03-21 13:41:32.484927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 4:   Y Y Y Y N Y Y Y 
2024-03-21 13:41:32.484948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 5:   Y Y Y Y Y N Y Y 
2024-03-21 13:41:32.484968: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 6:   Y Y Y Y Y Y N Y 
2024-03-21 13:41:32.484987: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 7:   Y Y Y Y Y Y Y N 
Loaded model in 2.09s.
Loading scorer from files deepspeech-0.9.3-models.scorer
terminate called after throwing an instance of 'lm::FormatLoadException'
  what():  native_client/kenlm/lm/binary_format.cc:160 in void* lm::ngram::BinaryFormat::LoadBinary(std::size_t) threw FormatLoadException because `file_size != util::kBadSize && file_size < total_map'.
Binary file has size 573880774 but the headers say it should be at least 941209108
Aborted (core dumped)