autoplugin_accelerate (#14839)

2023-01-03 14:55:28 +01:00 · 2023-01-03 14:55:28 +01:00 · 048667ca70
parent afc7f8f3a0
commit 048667ca70
3 changed files with 1075 additions and 7 deletions
--- a/docs/OV_Runtime_UG/auto_device_selection.md
+++ b/docs/OV_Runtime_UG/auto_device_selection.md
@ -54,7 +54,7 @@ For example, if you use a CPU and a GPU, the first-inference latency of AUTO wil

 Note that if you choose to exclude CPU from the priority list, it will be unable to support the initial model compilation stage.
     
-![autoplugin_accelerate]
+![](../img/autoplugin_accelerate.svg)

 This mechanism can be easily observed in the [Using AUTO with Benchmark app sample](#using-auto-with-openvino-samples-and-benchmark-app) section, showing how the first-inference latency (the time it takes to compile the model and perform the first inference) is reduced when using AUTO. For example: 

@ -318,11 +318,9 @@ For more information, refer to the [C++](../../samples/cpp/benchmark_app/README.
   No demos are yet fully optimized for AUTO, by means of selecting the most suitable device, using the GPU streams/throttling, and so on.
@endsphinxdirective

-## See Also
+## Additional Resources

 - [Debugging AUTO](AutoPlugin_Debugging.md)
 - [Running on Multiple Devices Simultaneously](./multi_device.md)
 - [Supported Devices](supported_plugins/Supported_Devices.md)

-
-[autoplugin_accelerate]: ../img/autoplugin_accelerate.png
--- a/docs/img/autoplugin_accelerate.png
+++ b/docs/img/autoplugin_accelerate.png
@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ba092e65d9c5c6fb585c4a394ba3e6a913bf4f129a386b7a8664b94aeb47878b
-size 61218
--- a/docs/img/autoplugin_accelerate.svg
+++ b/docs/img/autoplugin_accelerate.svg