Created by: yyhlvdl

因为实验室硬件的问题，我实在是无法自己训练完aishell数据，那估计需要一个月。所以，我使用了你们发布的中文模型，来尝试识别我自己的语音。 warmup_manifest是使用aishell的test数据，然后出现这样的错误。

root@70ae495f3c96:/DeepSpeech# python deploy/demo_server.py 
-----------  Configuration Arguments -----------
alpha: 2.15
beam_size: 500
beta: 0.35
cutoff_prob: 1.0
cutoff_top_n: 40
decoding_method: ctc_beam_search
host_ip: localhost
host_port: 8086
lang_model_path: models/lm/zh_giga.no_cna_cmn.prune01244.klm
mean_std_path: asset/preprocess/mean_std.npz
model_path: asset/train/aishell_model .tar.gz
num_conv_layers: 2
num_rnn_layers: 3
rnn_layer_size: 2048
share_rnn_weights: True
specgram_type: linear
speech_save_dir: demo_cache
use_gpu: True
use_gru: False
vocab_path: asset/preprocess/vocab.txt
warmup_manifest: asset/preprocess/test
------------------------------------------------
I1205 06:26:07.198161    93 Util.cpp:166] commandline:  --use_gpu=True --trainer_count=1 
[INFO 2017-12-05 06:26:09,496 layers.py:2606] output for __conv_0__: c = 32, h = 81, w = 54, size = 139968
[INFO 2017-12-05 06:26:09,498 layers.py:3133] output for __batch_norm_0__: c = 32, h = 81, w = 54, size = 139968
[INFO 2017-12-05 06:26:09,499 layers.py:7224] output for __scale_sub_region_0__: c = 32, h = 81, w = 54, size = 139968
[INFO 2017-12-05 06:26:09,500 layers.py:2606] output for __conv_1__: c = 32, h = 41, w = 54, size = 70848
[INFO 2017-12-05 06:26:09,502 layers.py:3133] output for __batch_norm_1__: c = 32, h = 41, w = 54, size = 70848
[INFO 2017-12-05 06:26:09,503 layers.py:7224] output for __scale_sub_region_1__: c = 32, h = 41, w = 54, size = 70848
-----------------------------------------------------------
Warming up ...
('Warm-up Test Case %d: %s', 0, u'asset/data/aishell/wav/test/S0765/BAC009S0765W0205.wav')
Traceback (most recent call last):
  File "deploy/demo_server.py", line 219, in <module>
    main()
  File "deploy/demo_server.py", line 215, in main
    start_server()
  File "deploy/demo_server.py", line 199, in start_server
    num_test_cases=3)
  File "deploy/demo_server.py", line 135, in warm_up_test
    transcript = audio_process_handler(sample['audio_filepath'])
  File "deploy/demo_server.py", line 190, in file_to_transcript
    feeding_dict=data_generator.feeding)
  File "/DeepSpeech/deploy/../model_utils/model.py", line 207, in infer_batch
    output_layer=self._log_probs, parameters=self._parameters)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/inference.py", line 50, in __init__
    val.copyFromNumpyArray(parameters.get(name).flatten())
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/parameters.py", line 242, in get
    return self.__getitem__(key=parameter_name)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/parameters.py", line 186, in __getitem__
    return self.__getter_inner(key, api.PARAMETER_VALUE)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/parameters.py", line 153, in __getter_inner
    shape = self.get_shape(key)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/parameters.py", line 200, in get_shape
    raise ValueError("No such parameter %s" % key)
ValueError: No such parameter ___conv_0__.w0