tsukumi
1a44c9d437
Merge branch 'dev' of github.com:litagin02/Style-Bert-VITS2
2025-03-26 20:09:40 +09:00
tsukumi
2aa503233a
Improve: Add option to generate AIVM/AIVMX files directly when running convert_onnx.py, add license information
2025-03-26 20:01:17 +09:00
tsukumi
810ca43615
Improve: Disable enable_cpu_mem_arena for CPU inference only to prevent excessive memory consumption during the inference session of the BERT model
2024-12-22 09:17:31 +09:00
tsukumi
405c5deddd
Improve: Adjusted the default Execution Provider options
2024-12-22 07:04:20 +09:00
tsukumi
15af441cba
Improve: Convert ONNX version of BERT models to FP16
...
I have found that half-precision has little effect on speech synthesis quality and, depending on the environment, can reduce file size and memory usage by half, so I have decided to use FP16.
2024-12-19 14:51:30 +09:00
tsukumi
ebd249bca8
Fix: spm.model is missing
2024-12-19 13:16:25 +09:00
litagin02
a6bc65271c
hatch fmt
2024-11-17 12:41:05 +09:00
tsukumi
9723f75f99
Fix: g2p process fails in PyTorch-independent environment
2024-11-08 02:56:05 +09:00
tsukumi
0e0b4bea31
Fix: Disable optimization on InferenceSession initialization to speed up loading of ONNX models
2024-09-22 23:08:00 +09:00
tsukumi
9b27ba9777
Improve: Graphical display of ONNX conversion script logs
2024-09-18 06:11:10 +09:00
tsukumi
449927616a
Fix: Suppress many warning logs
2024-09-18 05:48:37 +09:00
tsukumi
fa7123c422
Fix: ONNX BERT model/tokenizer is not preloaded by default to avoid wasting VRAM
2024-09-18 05:11:15 +09:00
tsukumi
5e2c83c6c7
Improve: Support ONNX inference, add ONNX conversion script
2024-09-17 16:55:03 +09:00
tsukumi
9de6e04ad7
Add: Preparation for ONNX inference support ④
2024-09-17 13:25:17 +09:00
