Created by: MrCuiHao

运行时只使用了一个显卡，１张GTX 1080TI ，显存11GB

root@1e103b8c3b19:/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: 1 use_gru: 0 vocab_path: models/librispeech/vocab.txt

I0923 13:29:14.188905 36 Util.cpp:166] commandline: --use_gpu=1 --rnn_use_batch=True --trainer_count=1 [INFO 2019-09-23 13:29:20,204 layers.py:2606] output for conv_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-09-23 13:29:20,207 layers.py:3133] output for batch_norm_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-09-23 13:29:20,209 layers.py:7224] output for scale_sub_region_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-09-23 13:29:20,211 layers.py:2606] output for conv_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2019-09-23 13:29:20,214 layers.py:3133] output for batch_norm_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2019-09-23 13:29:20,215 layers.py:7224] output for scale_sub_region_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2019-09-23 13:29:24,914 model.py:243] begin to initialize the external scorer for decoding [INFO 2019-09-23 13:33:51,108 model.py:253] language model: is_character_based = 0, max_order = 5, dict_size = 400000 [INFO 2019-09-23 13:33:51,589 model.py:254] end initializing scorer [INFO 2019-09-23 13:33:51,589 infer.py:103] start inference ... F0923 13:33:57.753219 36 hl_cuda_device.cc:273] Check failed: cudaSuccess == cudaStat (0 vs. 2) Cuda Error: out of memory

* Check failure stack trace: *

@ 0x7f475d89b04d google::LogMessage::Fail() @ 0x7f475d89d398 google::LogMessage::SendToLog() @ 0x7f475d89ab5b google::LogMessage::Flush() @ 0x7f475d89e26e google::LogMessageFatal::~LogMessageFatal() @ 0x7f475d843a9f hl_malloc_device() @ 0x7f475d6977c7 paddle::GpuAllocator::alloc() @ 0x7f475d684458 paddle::PoolAllocator::alloc() @ 0x7f475d683e33 paddle::GpuMemoryHandle::GpuMemoryHandle() @ 0x7f475d69efef paddle::GpuVectorT<>::GpuVectorT() @ 0x7f475d69f388 paddle::VectorT<>::create() @ 0x7f475d69f3f8 paddle::VectorT<>::createParallelVector() @ 0x7f475d53de84 ZNSt17_Function_handlerIFviPN6paddle9ParameterEEZNS0_15GradientMachine6createERKNS0_11ModelConfigEiRKSt6vectorINS0_19enumeration_wrapper13ParameterTypeESaISA_EEEUliS2_E_E9_M_invokeERKSt9_Any_dataOiOS2 @ 0x7f475d527933 paddle::NeuralNetwork::init() @ 0x7f475d53f331 paddle::GradientMachine::create() @ 0x7f475d86b8bb GradientMachine::createFromPaddleModelPtr() @ 0x7f475d86c4ce GradientMachine::createByConfigProtoStr() @ 0x7f475d3533aa _wrap_GradientMachine_createByConfigProtoStr @ 0x4cb45e PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4ca8d1 PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4ca099 PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx @ 0x4de8b8 (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4f492e (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4f46a7 (unknown) @ 0x4b670c (unknown) @ 0x4b0cb3 PyObject_Call @ 0x4c9faf PyEval_EvalFrameEx @ 0x4c2765 PyEval_EvalCodeEx Aborted (core dumped) Failed in inference!