error when executing small, Aborted (core dumped)
Created by: DemonPrince
hello tried to run deepspeech with docker, it downloaded from docker hub, but I could not configure it correctly to only use CPUs. I would appreciate knowing the complete configuration to only use CPU.
run_train configuration
*********** Configuration Arguments ********** augment_conf_path: conf/augmentation.config batch_size: 8 dev_manifest: data/tiny/manifest.tiny init_model_path: None is_local: 1 learning_rate: 1e-05 max_duration: 27.0 mean_std_path: data/tiny/mean_std.npz min_duration: 0.0 num_conv_layers: 2 num_iter_print: 100 num_passes: 20 num_proc_data: 1 num_rnn_layers: 3 output_model_dir: ./checkpoints/tiny rnn_layer_size: 2048 share_rnn_weights: 1 shuffle_method: batch_shuffle_clipped specgram_type: linear test_off: 0 train_manifest: data/tiny/manifest.tiny trainer_count: 0 use_gpu: 0 use_gru: 0 use_sortagrad: 1 vocab_path: data/tiny/vocab.txt
error: I0717 19:07:04.436843 647 Util.cpp:166] commandline: --use_gpu=0 --rnn_use_batch=True --log_clipping=True --trainer_count=0 [INFO 2019-07-17 19:07:04,477 layers.py:2606] output for conv_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-07-17 19:07:04,479 layers.py:3133] output for batch_norm_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-07-17 19:07:04,479 layers.py:7224] output for scale_sub_region_0: c = 32, h = 81, w = 54, size = 139968 [INFO 2019-07-17 19:07:04,480 layers.py:2606] output for conv_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2019-07-17 19:07:04,482 layers.py:3133] output for batch_norm_1: c = 32, h = 41, w = 54, size = 70848 [INFO 2019-07-17 19:07:04,483 layers.py:7224] output for scale_sub_region_1: c = 32, h = 41, w = 54, size = 70848 F0717 19:07:04.529284 647 GradientMachine.cpp:67] Unknown model type: nn