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# Licensed under the Apache License, Version 2.0 (the "License");
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Run training
torchrun --nproc-per-node 1 --no-python \
  coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
    examples/speechlm2/s2s_duplex_speech_decoder_train.py \
      model.pretrained_llm=/home/TestData/speechlm/pretrained_models/TinyLlama--TinyLlama_v1.1 \
      model.pretrained_audio_codec=/home/TestData/speechlm/pretrained_models/Low_Frame-rate_Speech_Codec++_bf16_nodiscrim.nemo \
      model.pretrained_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_hybrid_large_streaming_80ms.nemo \
      model.scoring_asr=/home/TestData/speechlm/pretrained_models/stt_en_fastconformer_transducer_large.nemo \
      data.train_ds.input_cfg.0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
      data.validation_ds.datasets.val_set_0.shar_path=/home/TestData/speechlm/lhotse/speechlm2/train_micro \
      trainer.devices=1 \
      trainer.max_steps=10

# Convert to HF format
coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo \
  examples/speechlm2/to_hf.py \
    class_path=nemo.collections.speechlm2.models.DuplexS2SSpeechDecoderModel \
    ckpt_path=s2s_sdv2_results/checkpoints/step\\=10-last.ckpt \
    ckpt_config=s2s_sdv2_results/exp_config.yaml \
    output_dir=test_speechlm2_speech_decoder_hf_model