forked from mrq/DL-Art-School
misc updates
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@ -39,4 +39,5 @@ vector_quantize_pytorch
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linear_attention_transformer
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rotary-embedding-torch
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axial_positional_embedding
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g-mlp-pytorch
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g-mlp-pytorch
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x-clip
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@ -94,9 +94,9 @@ if __name__ == '__main__':
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parser.add_argument('-diffusion_model_name', type=str, help='Name of the diffusion model in opt.', default='generator')
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parser.add_argument('-diffusion_model_path', type=str, help='Diffusion model checkpoint to load.', default='X:\\dlas\\experiments\\train_diffusion_vocoder_with_cond_new_dvae_full\\models\\6100_generator_ema.pth')
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parser.add_argument('-dvae_model_name', type=str, help='Name of the DVAE model in opt.', default='dvae')
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parser.add_argument('-opt_gpt_tts', type=str, help='Path to options YAML file used to train the GPT-TTS model', default='X:\\dlas\\experiments\\train_gpt_tts_unified.yml')
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parser.add_argument('-opt_gpt_tts', type=str, help='Path to options YAML file used to train the GPT-TTS model', default='X:\\dlas\\experiments\\train_gpt_tts_unified\\train_gpt_tts_unified.yml')
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parser.add_argument('-gpt_tts_model_name', type=str, help='Name of the GPT TTS model in opt.', default='gpt')
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parser.add_argument('-gpt_tts_model_path', type=str, help='GPT TTS model checkpoint to load.', default='X:\\dlas\\experiments\\train_gpt_tts_unified\\models\\60000_gpt.pth')
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parser.add_argument('-gpt_tts_model_path', type=str, help='GPT TTS model checkpoint to load.', default='X:\\dlas\\experiments\\train_gpt_tts_unified\\models\\60000_gpt_ema.pth')
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parser.add_argument('-opt_clip', type=str, help='Path to options YAML file used to train the CLIP model', default='X:\\dlas\\experiments\\train_clip_text_to_voice.yml')
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parser.add_argument('-clip_model_name', type=str, help='Name of the CLIP model in opt.', default='clip')
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parser.add_argument('-clip_model_path', type=str, help='CLIP model checkpoint to load.', default='X:\\dlas\\experiments\\train_clip_text_to_voice_masking_bigger_batch\\models\\23500_clip_ema.pth')
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@ -300,7 +300,7 @@ class Trainer:
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_gpt_asr_hf2_lg_distill.yml')
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../experiments/train_gpt_asr_mass_hf2_audio_only_fp32/train_gpt_asr_mass_hf2.yml')
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
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parser.add_argument('--local_rank', type=int, default=0)
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args = parser.parse_args()
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