Created by: Vincent-Zh

After reading LM model (successfully), then error occurs.

root@7a87c4436d18:~/DeepSpeech/examples/tiny# sh run_infer_golden.sh ----------- Configuration Arguments ----------- alpha: 2.5 beam_size: 500 beta: 0.3 cutoff_prob: 1.0 cutoff_top_n: 40 decoding_method: ctc_beam_search error_rate_type: wer infer_manifest: data/tiny/manifest.test-clean lang_model_path: models/lm/common_crawl_00.prune01111.trie.klm mean_std_path: models/librispeech/mean_std.npz model_path: models/librispeech/params.tar.gz num_conv_layers: 2 num_proc_bsearch: 8 num_rnn_layers: 3 num_samples: 10 rnn_layer_size: 2048 share_rnn_weights: 1 specgram_type: linear trainer_count: 1 use_gpu: 0 use_gru: 0 vocab_path: models/librispeech/vocab.txt

I1009 19:13:51.660266 442 Util.cpp:166] commandline: --use_gpu=0 --rnn_use_batch=True --trainer_count=1 [INFO 2018-10-09 19:13:51,872 layers.py:2716] output for conv_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-10-09 19:13:51,873 layers.py:3361] output for batch_norm_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-10-09 19:13:51,874 layers.py:7533] output for scale_sub_region_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-10-09 19:13:51,874 layers.py:2716] output for conv_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-10-09 19:13:51,875 layers.py:3361] output for batch_norm_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-10-09 19:13:51,875 layers.py:7533] output for scale_sub_region_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-10-09 19:13:54,459 model.py:243] begin to initialize the external scorer for decoding Loading the LM will be faster if you build a binary file. Reading models/lm/common_crawl_00.prune01111.trie.klm ----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 terminate called after throwing an instance of 'util::EndOfFileException' what(): End of file Byte: 0

* Aborted at 1539112434 (unix time) try "date -d @1539112434" if you are using GNU date *

PC: @ 0x0 (unknown)

* SIGABRT (@0x1ba) received by PID 442 (TID 0x7f704cc49700) from PID 442; stack trace: *

@ 0x7f704c826390 (unknown) @ 0x7f704c480428 gsignal @ 0x7f704c48202a abort @ 0x7f703388684d __gnu_cxx::__verbose_terminate_handler() @ 0x7f70338846b6 (unknown) @ 0x7f7033884701 std::terminate() @ 0x7f7033884969 __cxa_rethrow @ 0x7f702102d2f8 lm::ngram::detail::GenericModel<>::InitializeFromARPA() @ 0x7f702102f0eb lm::ngram::detail::GenericModel<>::GenericModel() @ 0x7f7021026aab lm::ngram::LoadVirtual() @ 0x7f702113ecbf Scorer::load_lm() @ 0x7f70211422a1 Scorer::setup() @ 0x7f702114239d Scorer::Scorer() @ 0x7f70210fd1a8 _wrap_new_Scorer @ 0x4bc3fa PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx @ 0x4d54b9 (unknown) @ 0x4eebee (unknown) @ 0x4c15bf PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx @ 0x4d54b9 (unknown) @ 0x4eebee (unknown) @ 0x4ee7f6 (unknown) @ 0x4aa9ab (unknown) @ 0x4c15bf PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx @ 0x4c1e6f PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx @ 0x4c1e6f PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx @ 0x4c1e6f PyEval_EvalFrameEx @ 0x4b9ab6 PyEval_EvalCodeEx Aborted (core dumped) Failed in inference!