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Tilman Kamp db702817b0 Removing old training scripts and website support - #1534 #1538
2018-09-13 15:56:35 +02:00
..
benchmark_nc.py Non positionnal arguments. Everywhere. 2018-07-04 17:12:52 +02:00
benchmark_plotter.py Remove keyword argument that has default value 2018-05-29 18:28:59 +01:00
gpu_usage_chart Remove deprecated automation code 2018-07-30 12:36:31 +02:00
gpu_usage_plot Remove deprecated automation code 2018-07-30 12:36:31 +02:00
graphdef_binary_to_text.py Add tool to convert graph protobuf to pbtxt 2018-08-02 13:22:24 -03:00
import_cv.py Use progressbar2 in import_cv.py 2018-07-11 13:10:49 -03:00
import_fisher.py Remove audio file too large for its transcript 2017-11-01 18:14:34 -02:00
import_ldc93s1.py Fix #715; removed wrong and unused import 2017-07-13 14:28:59 +02:00
import_librivox.py Save absolute paths in dataset definition files 2017-04-25 23:58:13 -03:00
import_swb.py Fixed #789 2017-08-25 10:06:58 +02:00
import_ted.py Keep unsplit WAV files in the TED corpus 2017-05-10 12:04:45 -03:00
import_timit.py removed blank 2017-09-12 15:09:02 +01:00
import_voxforge.py parallelized import_voxforge.py 2017-10-22 23:43:36 -07:00
job-template.sbatch Fix #590; Fix #551; Fix #615; Better process exit and exception handlin 2017-06-07 08:10:57 -07:00
ops_in_graph.py Address review comments 2018-08-03 14:46:05 -03:00
README.md Fix #328; distributed TensorFlow 2017-03-31 17:10:34 +02:00
run-cluster.sh Fix #328; distributed TensorFlow 2017-03-31 17:10:34 +02:00
run-ldc93s1.sh Streaming inference 2018-08-02 13:22:24 -03:00
run-tc-ldc93s1_frozen.sh Add test coverage for training from frozen model 2018-07-24 13:02:53 +02:00
run-tc-ldc93s1_new.sh Increase CI training epochs to guarantee overfitting 2018-08-02 13:22:24 -03:00

README.md

Utility scripts

This folder contains scripts that can be used to do training on the various included importers from the command line. This is useful to be able to run training without a browser open, or unattended on a remote machine. They should be run from the base directory of the repository. Note that the default settings assume a very well-specified machine. In the situation that out-of-memory errors occur, you may find decreasing the values of --train_batch_size, --dev_batch_size and --test_batch_size will allow you to continue, at the expense of speed.