- Lower default `trt_min_shape`. - Mildly decrease TRT engine building time. - Bump PyTorch to 2.4.0.dev. - Remove vstools dependency.
4.0.0
- Add support for TensorRT dynamic shapes. - Add support for TensorRT INT8 mode using Post Training Quantization (PTQ), giving 2x performance increase over FP16 mode. - Bump PyTorch to 2.3. - Bump VapourSynth to R66. - Bump TensorRT to 10.0.1.
3.1.1
- Remove `nvfuser` and `cuda_graphs` parameters. - Bump PyTorch to 2.0.1. - Bump TensorRT to 8.6.1. - Bump VapourSynth to R60.
3.0.1
- Allow `strength` clip to be any GRAY format. - Don't globally set default floating point tensor type when the input is of RGBH format.
3.0.0
- Switch to PyTorch again for inference. - Change function name to lowercase.
2.3.0
- Fix strength clip not properly normalized. - Allow GRAY8 format for strength clip. - Add `dual` parameter to perform inference in two threads for better performance. Mostly useful for TensorRT, not so useful for CUDA, and not supported for DirectML.