Late answer, but anyway. I had the same issue and the solution was to go to the session control menu (you can access it by clicking the resources in the top right corner), and just finish the target session. You will have to restart colab environment and will have clear disk space. Pleasant-Tie-2156. • 2 yr. ago.
Files that you save in Google Colab are there only for the duration of the session - they will all get deleted when you end it. That's why it's common to move the files outside of this space. This is done either through your local file system or via some other online service - especially popular is using Google Drive for that purpose, as it's
The two different methods are del and gc.collect (). del and gc.collect () are the two different methods to delete the memory in python. The clear memory method is helpful to prevent the overflow of memory. We can delete that memory whenever we have an unused variable, list, or array using these two methods. It will save the memory. This way, no caching directory is needed, which is especially helpful in environments that provide little disk space but a fast internet connection. Running on TPU in Colab notebooks On colab.research.google.com , downloading compressed models will conflict with the TPU runtime since the computation workload is delegated to another machine that after get access a Google Drive file from Colab by: from google.colab import drive drive.mount ('/content/drive') you can use this command line to make copy from file or directory. First, navigate to the directory where the file you want to copy is located. You can use the %cd command to change to the directory. Run the command "!nvidia-smi" inside a notebook block. Take a note of the process id for the GPU. Then run command "!kill process_id". 2. dxjustice. vQ6eC.
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    • google colab clear disk space