-
- Downloads
Post-training quantization: Scale factor approximation (#261)
* Added scale factor approximation in post-training quantization using integer multiply + shift. # of bits for integer multiplier is user configurable * Updated documentation * Updated post-train quant command line examples readme file
Showing
- distiller/quantization/q_utils.py 22 additions, 0 deletionsdistiller/quantization/q_utils.py
- distiller/quantization/range_linear.py 111 additions, 46 deletionsdistiller/quantization/range_linear.py
- docs-src/docs/algo_quantization.md 7 additions, 1 deletiondocs-src/docs/algo_quantization.md
- docs-src/docs/schedule.md 5 additions, 1 deletiondocs-src/docs/schedule.md
- docs/algo_quantization.html 9 additions, 1 deletiondocs/algo_quantization.html
- docs/index.html 1 addition, 1 deletiondocs/index.html
- docs/schedule.html 5 additions, 1 deletiondocs/schedule.html
- docs/search/search_index.json 1 addition, 1 deletiondocs/search/search_index.json
- docs/sitemap.xml 17 additions, 17 deletionsdocs/sitemap.xml
- docs/sitemap.xml.gz 0 additions, 0 deletionsdocs/sitemap.xml.gz
- examples/quantization/post_train_quant/command_line.md 39 additions, 27 deletionsexamples/quantization/post_train_quant/command_line.md
Loading
Please register or sign in to comment