Author: tim

Original Prusa Enclosure assembly v1.02

    If you decide to generate your G-codes, it is recommended to use:

    Material: PETG
    0.2 mm layer height QUALITY preset
    Infill: 20% GRID

    Print items before assembly.

    [Door-hinge.stl] X 4

    [SILVER-PSU-retainer.stl]

    [MK3S Printed Parts]

    [Enclosure spool holder – base]

    [Prusa Enclosure Spool Holder Rod / Arm]

    (Optional) It could be easier to upgrade from MK3S to MK3S+ outside the enclosure – [Original Prusa i3 MK3/MK3S to MK3S+ upgrade]

    All the enclosure assembly steps for all models – [Original Prusa Enclosure assembly v1.02]

    Assemble the enclosure up to adding the PSU – [3. Assembling the enclosure]

    Disconnect the Silver PSU/LED – [2B. Preparing the printer (MK3S+ Silver PSU)]

    Reassemble everything in the enclosure – [4B. Installing the printer (MK3S+ Silver PSU)]

    Optional Add-On – [9. Quick release PSU cable – MK3S+ Black PSU (add-on)]

    Upgrade PyTorch

    Looks like I need to upgrade PyTorch! The error message:

    NVIDIA GeForce RTX 3070 with CUDA capability sm_86 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70. If you want to use the NVIDIA GeForce RTX 3070 GPU with PyTorch, please check the instructions at

    https://pytorch.org/get-started/locally/

    Install the latest CUDA version on Windows (3.0GB) – https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_local

    Upgrade PyTorch:

    conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

    Get arch list in Python.

    import torch
    torch.cuda.get_arch_list()

    [‘sm_37’, ‘sm_50’, ‘sm_60’, ‘sm_61’, ‘sm_70’, ‘sm_75’, ‘sm_80’, ‘sm_86’, ‘compute_37’]

    And works!

    Python for ChromeOS

    [How to enable Developer mode on a Chromebook]

    [Set up Linux on your Chromebook]

    [Linux container not installing]

    [How to install and update Anaconda on Chromebook]

    From within the Linux penguin terminal:

    mkdir tmp && cd tmp

    curl -O https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh

    chmod +x ./Anaconda3-2022.10-Linux-x86_64.sh

    Recreate python and pip symbolic links:

    sudo rm /usr/bin/python

    sudo rm /usr/bin/pip

    sudo ln -s ~/anaconda3/bin/python /usr/bin/python

    sudo ln -s ~/anaconda3/bin/pip /usr/bin/pip

    [Python for ChromeOS]

    [How to install Visual Studio Code on a Chromebook]

    [Setting Up Run by Line and Debugging for Notebooks]

    [How to share files with Linux apps on Chrome OS]