31 lines
1.0 KiB
Bash
Executable File
31 lines
1.0 KiB
Bash
Executable File
#!/bin/sh
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set -xe
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ldc93s1_dir="./data/smoke_test"
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ldc93s1_csv="${ldc93s1_dir}/ldc93s1.csv"
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if [ ! -f "${ldc93s1_dir}/ldc93s1.csv" ]; then
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echo "Downloading and preprocessing LDC93S1 example data, saving in ${ldc93s1_dir}."
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python -u bin/import_ldc93s1.py ${ldc93s1_dir}
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fi;
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# Force only one visible device because we have a single-sample dataset
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# and when trying to run on multiple devices (like GPUs), this will break
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export CUDA_VISIBLE_DEVICES=0
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python -u train.py --show_progressbar false --early_stop false \
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--train_files ${ldc93s1_csv} --train_batch_size 1 \
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--dev_files ${ldc93s1_csv} --dev_batch_size 1 \
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--test_files ${ldc93s1_csv} --test_batch_size 1 \
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--n_hidden 100 --epochs 1 \
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--max_to_keep 1 --checkpoint_dir '/tmp/ckpt' --checkpoint_secs 0 \
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--learning_rate 0.001 --dropout_rate 0.05 \
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--scorer_path 'data/smoke_test/pruned_lm.scorer'
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python -u train.py \
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--n_hidden 100 \
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--checkpoint_dir '/tmp/ckpt' \
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--scorer_path 'data/smoke_test/pruned_lm.scorer' \
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--one_shot_infer 'data/smoke_test/LDC93S1.wav'
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