Simply installing the alternate runtime as shown above. You cannot have both versions of the runtime installed at the same time, but you can switch by
#Install linux on mac mini 2005 model install#
Otherwise, you can install the maximum frequency runtime as follows: sudo apt-get install libedgetpu1-max If you're not certain your application requires increased performance, you should use the reduced This increases the inferencing speed but also increases powerĬonsumption and causes the USB Accelerator to become very hot. You can instead install a runtime version that operates at the maximumĬlock frequency. The above command installs the standard Edge TPU runtime for Linux, which operates the device at a Install with maximum operating frequency (optional) Then continue to install the P圜oral library. Plugged it in, remove it and replug it so the newly-installed udev rule can take effect. Now connect the USB Accelerator to your computer using the provided USB 3.0 cable. Install the Edge TPU runtime: sudo apt-get install libedgetpu1-std Your host computer as follows, on Linux, on Mac, orĪdd our Debian package repository to your system: echo "deb coral-edgetpu-stable main" | sudo tee /etc/apt//coral-edgetpu.list The Edge TPU runtime provides the core programming interface for the Edge TPU. One available USB port (for the best performance, use a USB 3.0 port).macOS 10.15 (Catalina) or 11 (Big Sur), with either MacPorts or.(Raspberry Pi is supported, but we have only tested Raspberry Pi 3 Model B+ Linux Debian 10, or a derivative thereof (such as Ubuntu 18.04),Īnd a system architecture of either x86-64, Armv7 (32-bit), or Armv8 (64-bit).A computer with one of the following operating systems:.If you want to learn more about the hardware, see the
#Install linux on mac mini 2005 model how to#
Then we'll show you how to run a TensorFlow Lite model using the accelerator. This page is your guide to get started.Īll you need to do is download the Edge TPU runtime and the P圜oral library on yourĬomputer. It accelerates inferencing for your machine learning models when attached to eitherĪ Linux, Mac, or Windows host computer. The Coral USB Accelerator is a USB device that provides an Edge TPU as a coprocessor for yourĬomputer.
Retrain a classification model with backpropagation.Retrain a classification model with weight imprinting.
Run multiple models with multiple Edge TPUs.
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