Performance Optimization Guide for CPU Environments
For those who do not have a GPU, the following acceleration options are available:
- Environment Configuration:
- Creating a Dedicated Python 3.9 Environment with Conda
- Install the Intel-optimized version of TensorFlow (
pip install intel-tensorflow)
- Operational parameter adjustment:
- Limit the number of threads (
export OMP_NUM_THREADS=4) - increase
--jitParameters to enable on-the-fly compilation
- Limit the number of threads (
- Alternatives:
- Free GPU Resources with Google Colab
- Consider on-demand GPU instance rental for cloud services
- Caveats:
- Synthesis duration may be extended to 30-60 seconds
- Suggests batch processing of text to reduce startup overhead
When operating on the web interface, it is recommended to prepare multiple texts to be submitted at once to avoid starting the model frequently.
This answer comes from the articleMegaTTS3: A Lightweight Model for Synthesizing Chinese and English SpeechThe
May not be reproduced without permission:AI productivity tools " How to optimize the speed of MegaTTS3 on CPU devices?
