What does your typical work day as a (software) developer look like? You probably spend some time writing actual code, a lot of time integrating it with existing systems and finally spend weeks delivering it to production. In this short post I want to emphasize the importance of unified tooling. …

In this blog post i want to share a quick way (one command) of recompiling Linux kernel with PREEMPT_RT patch for NVIDIA Jetson AGX Xavier. Supported version: Jetpack 4.2.1 (L4T 32.2.1), kernel 4.9.140 Supported hw: Jetson AGX Xavier New platforms (Nano, TX2, etc.), new versions are welcomed here. Cross-compilation will…

Part 1: https://medium.com/@r7vme/converting-neural-network-to-tensorrt-part-1-using-existing-plugins-edd9c2b9e42a In part 1 i’ve described how to convert neural network with supported layers to TensorRT plan. In this part i’ll try to describe how to create a custom layer for TensorRT. Example will be a “l2norm_helper” plugin that i created to support TensorFlow l2_normalize operation. Source code…

What is TensorRT? TensorRT is a framework from NVIDIA that allows significantly speed-up inference performance of neural network. TensorRT does this by fusing multiple layers together and selecting optimized (cuda) kernels. In addition, lower-precision data type can be used (e.g. float16 or int8). …

This post describes mathematics behind TensorFlow’s tutorial example “Partial differential equations”. Please find a Jupyter notebook with blog post under the link below. https://colab.research.google.com/github/r7vme/tensorflow-example-pdes/blob/master/pdes.ipynb