#!/usr/bin/env bash
# Set bash to 'debug' mode, it will exit on :
# -e 'error', -u 'undefined variable', -o ... 'error in pipeline', -x 'print commands',
set -e
set -u
set -o pipefail

# start command: 
# bash run_wavlm_smollm.sh --stage 8 --stop_stage 8 --ngpu 8 --tag tts_smollm_whole_rinit --train_args "--codec_token_per_frame 8 --codec_token_in_use 8 --loss_region whole"

train_jsons=""
valid_jsons=""
test_jsons=""

# TTS
train_jsons+="dump_wavlm/raw_tts_librispeech/train_960/data.json dump_wavlm/raw_tts_mls_en/mls_en_train/data.json"
valid_jsons+="dump_wavlm/raw_tts_librispeech/dev/data.json "

# Test sets
test_jsons+="dump_wavlm/raw_codec_ssl_asr_librispeech/test_clean/data.json "
test_jsons+="dump_wavlm/raw_codec_ssl_tts_librispeech/test_clean/data.json "

train_config=conf/train_multiscale_smollm_360m.yaml
inference_config=conf/decode_asr.yaml

token_list_dir=data/token_list/llm_vocab # use lllm vocab
bpe_opts="--subword_choice huggingface --subword_model HuggingFaceTB/SmolLM-1.7B"
codec_opts="--codec_choice inhouse"

./speechlm.sh \
    --skip_data_prep true \
    --data_combo_name ls960_mlsen \
    --fs 16000 \
    --ngpu 4 \
    --nj 16 \
    --inference_nj 16 \
    --nbest 10 \
    --gpu_inference true \
    --g2p g2p_en_no_space \
    --cleaner tacotron \
    --token_list_dir ${token_list_dir} \
    --train_config ${train_config} \
    --inference_config ${inference_config} \
    --audio_format "flac.ark" \
    --train_jsons "${train_jsons}" \
    --valid_jsons "${valid_jsons}" \
    --test_jsons "${test_jsons}" \
    --dumpdir dump_wavlm \
    ${bpe_opts} ${codec_opts} \
    "$@"