Release version 0.7.0
Breaking changes
- DPUv1 specific export flow has been deprecated (since DPUv1 has been deprecated in Vitis AI).
- Support for PyTorch < 1.5 has been deprecated.
- The previous implementation of graph quantization has been deprecated.
Fixes
- Issues between statistics collection in quantized activations and BREVITAS_JIT=1 should be solved.
- Statistics collection in quantized activations is now done with a Buffer before switching to a learned Parameter, to keep things consistent in distributed training.
- Custom ONNX functions are now properly registered with PyTorch.
- Various other minor fixes, see full changelog below.
Features
- Support for various more operators in QuantTensor.
- Initial support for post-training quantization through statistics collection, bias correction, and equalization.
- Initial support for FX-based graph quantization, currently targeting FlexML (an internal toolchain) only.
- Various other minor enhancements, see full changelog below.
Full Changelog: v0.6.0...v0.7.0