Hardware Adaptation Program
- CPU mode: Set the device parameter to "cpu" for environments without GPUs.
- Video Memory Optimization: Add when loading the modellow_cpu_mem_usage=Trueparameters
- Quantitative loading: 8bit quantization of the model using torch.quantization
Software Optimization Solutions
- Limit generation duration (default ~30 seconds)
- Preprocessing stage turns off unwanted features (e.g., does not enable sound cloning)
- adoptionstreaming generationPattern Segmentation Processing
alternative
It can be run using a cloud platform such as Google Colab, and the choice of a T4 GPU instance will suffice.
This answer comes from the articleSongGen: A Single-Stage Autoregressive Transformer for Automatic Song GenerationThe
May not be reproduced without permission:AI productivity tools " How to optimize SongGen's operational efficiency in resource-limited environments?
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