Google-colaboratory: No backend with GPU available

Question

Here it is described how to use gpu with google-colaboratory:

Simply select "GPU" in the Accelerator drop-down in Notebook Settings (either thr

Answer 1

Add some pictures to make it clearer

Answer 2

You'll need to try again later when a GPU is available. The message indicates that all available GPUs are in use.

The FAQ provides additional info:

How may I use GPUs and why are they sometimes unavailable?

Colaboratory is intended for interactive use. Long-running background computations, particularly on GPUs, may be stopped. Please do not use Colaboratory for cryptocurrency mining. Doing so is unsupported and may result in service unavailability. We encourage users who wish to run continuous or long-running computations through Colaboratory’s UI to use a local runtime.

There seems to be a cooldown on continuous training with GPUs. So, if you encounter the error dialog, try again later, and perhaps try to limit long-term training in subsequent sessions.

Answer 3

After Reset runtime didn't work, I did:

Runtime -> Reset all runtimes -> Yes

I then got a happy:

Found GPU at: /device:GPU:0

Answer 4

You need to configure the Notebook with GPU device

Click Edit->notebook settings->hardware accelerator->GPU

Answer 5

Google Colab has by default tensorflow 2.0, Change it to tensorflow 1. Add the code,

%tensorflow_version 1.x Use it before any keras or tensorflow code.

Answer 6

This is the precise answer to your question man. According to a post from Colab : 'overall usage limits, as well as idle timeout periods, maximum VM lifetime, GPU types available, and other factors, vary over time.

GPUs and TPUs are sometimes prioritized for users who use Colab interactively rather than for long-running computations, or for users who have recently used less resources in Colab. As a result, users who use Colab for long-running computations, or users who have recently used more resources in Colab, are more likely to run into usage limits and have their access to GPUs and TPUs temporarily restricted. Users with high computational needs may be interested in using Colab’s UI with a local runtime running on their own hardware.'