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| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-12 11:43:58 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-12 12:50:27 +0000 |
| commit | 818f56a50164d5cd8420f195a570693500885eda (patch) | |
| tree | 36d1e166d5c22d2f8d9642938841d07917edd3ec /README.md | |
| parent | 9f184c4cce711891a194ff05f68af6082aa920e9 (diff) | |
| download | armnn-818f56a50164d5cd8420f195a570693500885eda.tar.gz | |
Update the graph path in Readme and update project number in doxyfile
* Move all the image files used in doxygen to docs/
* Have a single path for all images in Doxyfile
* Update project number to 21.11 in Doxyfile
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ic9102d36b69a8261caf8e55da645463540e0b9f3
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -27,7 +27,7 @@ hardware you want to execute it on. This results in a great boost of execution s network can be executed depends on the operations it contains and the available hardware. Below you can see the speedup we've been experiencing in our experiments with a few common networks. -\image html docs/PerformanceChart.odt +\image html PerformanceChart.png Arm NN is written using portable C++14 and the build system uses [CMake](https://cmake.org/), therefore it is possible to build for a wide variety of target platforms, from a wide variety of host environments. |