42 lines
1001 B
Python
Executable File
42 lines
1001 B
Python
Executable File
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def get_model(config, training=True):
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name = config.name
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if not config.experimental:
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from .ar_nar import AR_NAR
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model = AR_NAR(
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n_text_tokens=config.text_tokens,
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n_audio_tokens=config.audio_tokens,
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d_model=config.dim,
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n_heads=config.heads,
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n_layers=config.layers,
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n_experts=config.experts,
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p_dropout=config.dropout,
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l_padding = config.input_alignment,
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training = training,
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config = config,
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)
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else:
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from .experimental import Model as Experimental
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model = Experimental(
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n_text_tokens=config.text_tokens,
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n_audio_tokens=config.audio_tokens,
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d_model=config.dim,
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n_layers=config.layers,
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n_heads=config.heads,
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p_dropout=config.dropout,
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config = config,
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)
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print(f"{name} ({next(model.parameters()).dtype}): {sum(p.numel() for p in model.parameters() if p.requires_grad)} parameters")
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return model
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def get_models(models, training=True):
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return { model.full_name: get_model(model, training=training) for model in models }
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