diff options
-rw-r--r-- | README.md | 2 | ||||
-rw-r--r-- | docs/Doxyfile | 4 | ||||
-rw-r--r-- | docs/pyarmnn.png (renamed from python/pyarmnn/images/pyarmnn.png) | bin | 74951 -> 74951 bytes | |||
-rw-r--r-- | python/pyarmnn/README.md | 2 |
4 files changed, 4 insertions, 4 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. diff --git a/docs/Doxyfile b/docs/Doxyfile index 43fd269621..7dd51b50bc 100644 --- a/docs/Doxyfile +++ b/docs/Doxyfile @@ -61,7 +61,7 @@ PROJECT_NAME = "ArmNN" # could be handy for archiving the generated documentation or if some version # control system is used. -PROJECT_NUMBER = 21.08 +PROJECT_NUMBER = 21.11 # Using the PROJECT_BRIEF tag one can provide an optional one line description # for a project that appears at the top of each page and should give viewer a @@ -978,7 +978,7 @@ EXAMPLE_RECURSIVE = NO # that contain images that are to be included in the documentation (see the # \image command). -IMAGE_PATH = python/pyarmnn/ +IMAGE_PATH = docs/ # The INPUT_FILTER tag can be used to specify a program that doxygen should # invoke to filter for each input file. Doxygen will invoke the filter program diff --git a/python/pyarmnn/images/pyarmnn.png b/docs/pyarmnn.png Binary files differindex 7a900d8e3a..7a900d8e3a 100644 --- a/python/pyarmnn/images/pyarmnn.png +++ b/docs/pyarmnn.png diff --git a/python/pyarmnn/README.md b/python/pyarmnn/README.md index ae263463da..dc3b8a1fb0 100644 --- a/python/pyarmnn/README.md +++ b/python/pyarmnn/README.md @@ -10,7 +10,7 @@ delegated to the Arm NN library. The [SWIG](http://www.swig.org/) project is used to generate the Arm NN python shadow classes and C wrapper. The following diagram shows the conceptual architecture of this library: -![PyArmNN](./images/pyarmnn.png) +![PyArmNN](docs/pyarmnn.png) # Setup development environment |