| IMPORTANT POINTS |
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| You MUST have an Nvidia GPU for the TensorFlow related modes to work in Visions of Chaos. If you are unsure, check your graphics card is listed here. |
| If you do not have a supported Nvidia GPU stop now and don't bother with the rest of this page. |
| Version numbers are important. If these instructions specify a version number make sure you download and install that version. |
| These steps only seem to work on Windows 10 64-bit. I have not yet been able to get them working on earlier versions of Windows. |
| Movie Tutorial |
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| The following movie explains the steps on this page in more detail. |
| NOTE that I missed covering the add to path step that is covered on this page. That must be done after the other steps. |
| Installing Python and TensorFlow for Visions of Chaos |
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| Python and TensorFlow enable the machine learning and neural network features of Visions of Chaos. |
| Follow these steps to get TensorFlow working on your PC so Visions of Chaos can make use of it. |
| Python |
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| Download Python from here. v3.7.4 worked for me but I also confirmed v3.7.5. Newer versions cause TensorFlow to fail so use the older version. Make sure it is the 64 bit version. If the first setup page shows 32-bit, cancel and download the 64-bit version. |
| Install it making sure you check the "Add Python to PATH" checkbox. |
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| If you also install Python outside the "Program Files" directory (eg to C:\Python\) it saves potential security rights hassles in the next stage. |
| Update Python Libraries |
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| If you installed Python to a directory outside "Program Files" you can copy the following commands into a command prompt windows. If you did install Python to the default subdirectory under "Program Files" you will need to run the following commands from an Administrator command prompt. |
| To prevent other possible access errors make sure there are no instances of python.exe running in task manager before trying these commands. |
| The commands can all be copied and pasted into the command line in one go and will execute one after the other. |
| python -m pip install --upgrade pip pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall pyyaml pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall tensorflow-gpu==1.14 pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall tensorflow-datasets pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall keras pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall matplotlib pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall pillow pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall pydot pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall opencv-python pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall scipy pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall pandas pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall music21 pip install --no-cache-dir --ignore-installed --upgrade --force-reinstall imageio |
| CUDA |
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| CUDA |
| Download CUDA v10.0 from here and install it. |
| NOTE: by default the Nvidia installer wants to install extra drivers etc, you only need the libraries option checked, ie |
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| cuDNN |
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| 1. Download cuDNN v10.0 from here. Make sure you get the version for CUDA 10.0, ie "Download cuDNN v7.6.4 (September 27, 2019), for CUDA 10.0" |
| You do have to register, but if you do not want to use your real name and email to register, use a fake name and a free temp mail service like temp mail or 10 minute mail to get the verification email. |
| 2. Extract the cuDNN zip to a temp folder. |
| 3. Copy the \cuda\bin\cudnn64_7.dll into the C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\ folder. |
| The C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\ folder should now have a bunch of DLLs and look like the following |
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| 4. Add the CUDA bin folder (ie C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin) to your path. |
| Add CUDA to Path |
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| 1. Hold the Windows key and press Pause to bring up the System Control Panel. |
| 2. Click Advanced system settings. |
| 3. Click the Environment Variables button. |
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| 4. Highlight Path in the lower "System variables" section as above and click Edit. |
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| 5. Click New and add C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin as follows. |
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| 6. Click OK, OK, OK to close all dialogs. |
| 7. Reboot Windows. |
| Test TensorFlow Support in Visions of Chaos |
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| Start Visions of Chaos, click the Options menu and then select Options to open the Options dialog. Under the TensorFlow tab, click the "Check and enable TensorFlow" button. |
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| If the installs went OK then TensorFlow should be detected and the TensorFlow functionality will be enabled in Visions of Chaos. |
| TensorFlow and CUDA may fail if another program is using it. If you have a problem, try rebooting and then running only Visions of Chaos and try again. If you are rendering a long movie it is best to have only Visions of Chaos running for the best chance of a trouble free result. |
| How Can You Use TensorFlow in Visions of Chaos |
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| 1. Cellular automata searching Select Mode->Cellular Automata->2D->2D Cellular Automata. You should see a "Search" button. Clicking that uses TensorFlow Convolutional Neural Networks to detect interesting CA rules. |
| 2. Style Transfer GANs Select Image->Image Procesing->Style Transfer |
| 3. LSTM Music Composer Select Mode->Music->LSTM Composer |
| 4. DeepDream Select Image->Image Procesing->DeepDream |