IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[DOCS] feature transition section (#19506) (#19732)

Browse Source 
port: https://github.com/openvinotoolkit/openvino/pull/19506
This commit is contained in:
Karol Blaszczak
2023-09-11 12:14:05 +02:00
committed by GitHub
parent e0391a5855
commit 79aefc49af
35 changed files with 287 additions and 184 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
docs/optimization_guide/ptq_introduction.md
View File

@@ -8,7 +8,6 @@
basic_quantization_flow
quantization_w_accuracy_control
pot_introduction
Post-training model optimization is the process of applying special methods that transform the model into a more hardware-friendly representation without retraining or fine-tuning. The most popular and widely-spread method here is 8-bit post-training quantization because it is: