问题描述
从头开始训练模型后，我试图解码wav文件，我完成了训练和测试阶段，没有错误，并且获得了WER＆CER和Loss值。 注意：我已经使用此命令完成了解码，没有任何错误，但是当我使用新型号进行测试时，它就会出现。
native_client/deepspeech --model /home/xyz/DeepSpeech/data/exprt_dir/output_graph.pb --scorer /home/xyz/DeepSpeech/data/lm/lm.scorer --audio data/test5.wav --beam_width 9000 > data/decoding.txt
TensorFlow: v2.2.0-15-g518c1d0
DeepSpeech: v0.9.0-alpha.3-0-g78ae08c
Warning: reading entire model file into memory. Transform model file into an mmapped graph to reduce heap usage.
2020-09-22 12:15:00.293543: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
terminate called after throwing an instance of 'std::length_error'
what(): vector::_M_default_append
Abandon (core dumped)`
我尝试了没有得分器，管道和横梁以及火车数据集中的文件的命令，但错误仍然存在。
native_client/deepspeech --model /home/xyz/DeepSpeech/data/exprt_dir/output_graph.pb --audio data/decoding_online/test5.wav
TensorFlow: v2.2.0-15-g518c1d0
DeepSpeech: v0.9.0-alpha.3-0-g78ae08c
Warning: reading entire model file into memory. Transform model file into an mmapped graph to reduce heap usage.
2020-09-22 13:56:17.511266: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
terminate called after throwing an instance of 'std::length_error'
what(): vector::_M_default_append
Abandon (core dumped)
您会在下面找到我拥有的软件包的版本（运行中的点列表显示的不仅仅是这些软件包，但我只是保留了重要的软件包）
(deepspeech-venv) (base) root@xyz:/home/xyz/DeepSpeech# pip list
Package Version Location
-------------------- ------------ ------------------------------------
deepspeech-training 0.9.0a3 /home/xyz/DeepSpeech/training
ds-ctcdecoder 0.9.0a3
tensorboard 1.15.0
tensorflow-estimator 1.15.1
tensorflow-gpu 1.15.2
解决方法
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