Created by: lightsailpro

I got this error when running CUDA_VISIBLE_DEVICES=0 python deploy/demo_server.py with baidu_en8k. Here is command output. Could someone help?

ml@tesla1a:~/Paddle/DeepSpeech$ CUDA_VISIBLE_DEVICES=0 python deploy/demo_server.py ----------- Configuration Arguments ----------- alpha: 2.5 beam_size: 500 beta: 0.3 cutoff_prob: 1.0 cutoff_top_n: 40 decoding_method: ctc_beam_search host_ip: localhost host_port: 8086 lang_model_path: models/lm/common_crawl_00.prune01111.trie.klm mean_std_path: models/baidu_en8k/mean_std.npz model_path: models/baidu_en8k/params.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: models/baidu_en8k/vocab.txt warmup_manifest: data/librispeech/manifest.test-clean

I0119 13:57:54.665096 60035 Util.cpp:166] commandline: --use_gpu=True --trainer_count=1 [INFO 2018-01-19 13:57:59,480 layers.py:2714] output for conv_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-01-19 13:57:59,482 layers.py:3282] output for batch_norm_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-01-19 13:57:59,483 layers.py:7454] output for scale_sub_region_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2018-01-19 13:57:59,484 layers.py:2714] output for conv_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-01-19 13:57:59,485 layers.py:3282] output for batch_norm_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-01-19 13:57:59,486 layers.py:7454] output for scale_sub_region_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2018-01-19 13:58:04,793 model.py:243] begin to initialize the external scorer for decoding [INFO 2018-01-19 13:58:17,973 model.py:253] language model: is_character_based = 0, max_order = 5, dict_size = 400000 [INFO 2018-01-19 13:58:18,154 model.py:254] end initializing scorer

Warming up ... ('Warm-up Test Case %d: %s', 0, u'/home/ml/.cache/paddle/dataset/speech/libri/test-clean/LibriSpeech/test-clean/7176/92135/7176-92135-0025.flac') Traceback (most recent call last): File "deploy/demo_server.py", line 217, in main() File "deploy/demo_server.py", line 213, in main start_server() File "deploy/demo_server.py", line 196, 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 171, in file_to_transcript feeding_dict=data_generator.feeding) File "/home/ml/Paddle/DeepSpeech/deploy/../model_utils/model.py", line 193, in infer_batch_probs output_layer=self._log_probs, parameters=self._parameters) File "/usr/local/lib/python2.7/dist-packages/paddle/v2/inference.py", line 63, 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 _recurrent_layer_0.w0