@lissyx , I restarted the process with the same command, and not I don’t see that error. Bellow is my command for training.
python -u DeepSpeech.py
–checkpoint_dir checkpoint
–checkpoint_step 1
–dropout_rate 0.2367
–default_stddev 0.046875
–epoch 13
–export_dir /my_exportdir/model.pb
–initialize_from_frozen_model models/output_graph.pb
–learning_rate 0.0001
–train_files CVD/cv-valid-train.csv,CVD/cv-other-train.csv
–dev_files CVD/cv-valid-dev.csv
–test_files CVD/cv-valid-test.csv
–train_batch_size 12
–dev_batch_size 8
–test_batch_size 8
–display_step 0
–validation_step 1
–log_level 0
–summary_dir summary3
–summary_secs 60
As I am using checkpoint, I believe every time I start the training, it is continuing from that point. But I get the below message in between the training. Can you tell me if its just a warning or any thing wrong in the process.
D Starting batch…
2018-03-26 11:26:10.350260: W tensorflow/core/util/ctc/ctc_loss_calculator.cc:144]No valid path found.
D Finished batch step 104690.
D Sending Job (ID: 84, worker: 0, epoch: 3, set_name: train)…
D Computing Job (ID: 85, worker: 0, epoch: 3, set_name: train)…
D Starting batch…
D Finished batch step 104691.
D Sending Job (ID: 85, worker: 0, epoch: 3, set_name: train)…
D Computing Job (ID: 86, worker: 0, epoch: 3, set_name: train)…
D Starting batch…
D Finished batch step 104692.
D Sending Job (ID: 86, worker: 0, epoch: 3, set_name: train)…
D Computing Job (ID: 87, worker: 0, epoch: 3, set_name: train)…
Thank you