The auto-installer fails to install TVM correctly due to llvm not being installed on Ubuntu 18.04 systems. In fact, the command
sudo apt-get install llvm12
fails in Ubuntu 18.04 since llvm12 seems to be not supported. I tested the OS with llvm10 and it seems to work.
So, to solve this issue it should be enough to locate the version of ubuntu and for 18.04 install lllvm10 instead of l
In version 0.5.x we have full support for YOLOv5, at the cost of introducing more dependencies. If someone just wants to use the models for inference, he/she doesn't need all additional features like:
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
This project contains a code generator that produces static C NN inference deployment code targeting tiny micro-controllers (TinyML) as replacement for other µTVM runtimes. This tools generates a runtime, which statically executes the compiled model. This reduces the overhead in terms of code size and execution time compared to having a dynamic on-device runtime.
Canopy is a machine learning learning compiler stack with the capability of adopting high-end FPGAs. As a part of OpenAIOS project, Canopy is an evolved version of Apache TVM. Canopy is able to support a variety of hardware backends such as PCIE-based cloud FPGAs, CPUs and GPUs.
The auto-installer fails to install TVM correctly due to llvm not being installed on Ubuntu 18.04 systems. In fact, the command
fails in Ubuntu 18.04 since llvm12 seems to be not supported. I tested the OS with llvm10 and it seems to work.
So, to solve this issue it should be enough to locate the version of ubuntu and for 18.04 install lllvm10 instead of l