Created by: xuzhaoqing

I cannot finish the baseline of aishell example for the following problem:

root@a6a7c2f6ef28:/DeepSpeech/examples/aishell# sh run_infer_golden.sh ----------- Configuration Arguments ----------- alpha: 2.6 beam_size: 300 beta: 5.0 cutoff_prob: 0.99 cutoff_top_n: 40 decoding_method: ctc_beam_search error_rate_type: cer infer_manifest: data/aishell/manifest.test lang_model_path: models/lm/zh_giga.no_cna_cmn.prune01244.klm mean_std_path: models/aishell/mean_std.npz model_path: models/aishell/params.tar.gz num_conv_layers: 2 num_proc_bsearch: 8 num_rnn_layers: 3 num_samples: 10 rnn_layer_size: 1024 share_rnn_weights: 0 specgram_type: linear trainer_count: 1 use_gpu: 1 use_gru: 1 vocab_path: models/aishell/vocab.txt

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I0410 03:30:05.007586 65 Util.cpp:166] commandline: --use_gpu=1 --rnn_use_batch=True --trainer_count=1 [INFO 2018-04-10 03:30:10,774 layers.py:2606] output for conv_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-04-10 03:30:10,775 layers.py:3133] output for batch_norm_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-04-10 03:30:10,776 layers.py:7224] output for scale_sub_region_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-04-10 03:30:10,777 layers.py:2606] output for conv_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-04-10 03:30:10,777 layers.py:3133] output for batch_norm_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-04-10 03:30:10,778 layers.py:7224] output for scale_sub_region_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-04-10 03:30:14,952 model.py:243] begin to initialize the external scorer for decoding terminate called after throwing an instance of 'lm::FormatLoadException' what(): 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 1087809998 but the headers say it should be at least 2953349384

* Aborted at 1523331015 (unix time) try "date -d @1523331015" if you are using GNU date *

PC: @ 0x0 (unknown)

* SIGABRT (@0x41) received by PID 65 (TID 0x7f7bf9cc6700) from PID 65; stack trace: *

@ 0x7f7bf98a2390 (unknown) @ 0x7f7bf94fc428 gsignal @ 0x7f7bf94fe02a abort @ 0x7f7bea3c484d __gnu_cxx::__verbose_terminate_handler() @ 0x7f7bea3c26b6 (unknown) @ 0x7f7bea3c2701 std::terminate() @ 0x7f7bea3c2919 __cxa_throw @ 0x7f7bdebd565f lm::ngram::BinaryFormat::LoadBinary() @ 0x7f7bdebe0605 lm::ngram::detail::GenericModel<>::GenericModel() @ 0x7f7bdebd73db lm::ngram::LoadVirtual() @ 0x7f7bded08a5f Scorer::load_lm() @ 0x7f7bded0c041 Scorer::setup() @ 0x7f7bded0c13d Scorer::Scorer() @ 0x7f7bdecc6f48 _wrap_new_Scorer @ 0x4c468a PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4de6fe (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4f492e (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4c9faf PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4de6fe (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4f492e (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4f46a7 (unknown) @ 0x4b670c (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4c9faf PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4ca8d1 PyEval_EvalFrameEx Aborted (core dumped) Failed in inference!

and I'm running in the docker. Could you please help me solve it?