Blog tagged news

NNEF from Khronos will enable universal interoperability for machine learning developers and implementersThe Khronos Group is about to release a new standard method of moving trained neural networks among frameworks, and between frameworks and inference engines. The new standard is the Neural Network Exchange Format (NNEF™); it has been in design for over a year and will be available to the public by the end of 2017. Learn more about NNEF and the upcoming released in the Khronos blog post.

Arm releases PerfDoc v1.0PerfDoc is a Vulkan layer which aims to validate applications against the Mali Application Developer Best Practices Guide. Just like the LunarG validation layers, this layer tracks your application and attempts to find API usage which is discouraged. PerfDoc focuses on checks which can be done up-front, and checks which can portably run on all platforms which support Vulkan. The intended use of PerfDoc is to be used during development to catch potential performance issues early. The layer will run on any Vulkan implementation, so Mali-related optimizations can be found even when doing bringup on desktop platforms. Just like Vulkan validation layers, errors are reported either through VK_EXT_debug_report to the application as callbacks, or via console/logcat if enabled. Dynamic checking (i.e. profiling) of how an application is behaving in run-time is not currently in the scope of PerfDoc. Some heuristics in PerfDoc are based on "arbitrary limits" in case where there is no obvious limit to use. These values can be tweaked later via config files if needed. Some checks which are CPU intensive (index scanning for example), can also be disabled by the config file. Please visit the GitHub repository for PerfDoc.

With SIGGRAPH 2017 almost behind us, we wanted to ensure you could find everything Khronos related one place: