@Vengineerの戯言 : Twitter
SystemVerilogの世界へようこそ、すべては、SystemC v0.9公開から始まった
TLから
tensorflow model-optimizationのロードマップが更新された。
— nb.o (@Nextremer_nb_o) 2020年8月7日
・[WIP] Post training quantization for (8b) fixed-point RNNs
・[WIP] Quality and performance improvements to post training dynamic-range quantizationhttps://t.co/nTlRozZ4lY
これだけいろいろロードマップあって、改善しているのって、TensorFlow Liteだけ?
引用します。
Quantization
- Post training quantization for dynamic-range kernels -- Launched
- Post training quantization for (8b) fixed-point kernels -- Launched
- Quantization aware training for (8b) fixed-point kernels and experimentation for <8b -- Launched
- [WIP] Post training quantization for (8b) fixed-point RNNs
- Quantization aware training for (8b) fixed-point RNNs
- [WIP] Quality and performance improvements to post training dynamic-range quantization
Pruning / Sparsity
- During-training magnitude-based weight pruning -- Launched
- Sparse model execution support in TensorFlow Lite -- WIP
こちらは、Latency完全っぽい
Weight clustering
- During-training weight clustering
- Cascading compression techniques
- [WIP] Additional support for combining different compression techniques. Today, users can only combine one during-training technique with post-training quantization. The proposal is coming soon.
Compression