For me, that would be CUDA Toolkit 10.1 update2 (update: CUDA Toolkit 11.2.2).ĭownload the installer for your operating system (which is probably Windows 10).
INSTALL ANACONDA WINDOWS 10 WHICH FOLDER INSTALL
Download the CUDA Toolkit version that is required for the TensorFlow version you wish to install (see the table in the Prerequisites section).
INSTALL ANACONDA WINDOWS 10 WHICH FOLDER ARCHIVE
So, you’ll need to click on Archive of Previous CUDA Releases. Note the CUDA version in the table above, as it’s likely not the latest CUDA release. Simply close out all of the installation windows. After installation is complete, you do not need to sign into Visual Studio. When asked about continuing installation without a workload, click Continue. For me, that was MSVC v142 – VS 2019 C++ 圆4/x86 build tools (Latest).Ĭlick Install. Search for “msvc 2019” and select the latest MSVC C++ 2019 build tools version for your computer.
You will need to install the older 2019 version by downloading from here. Note: at this time, the CUDA Toolkit installer will not find the latest version of Visual Studio Community (2022). Yes, it’s a full IDE that we won’t use–we just need the compiler that comes with it. The easiest way to install it is through Microsoft Visual Studio.ĭownload and install Visual Studio Community (which is free) from this site. The CUDA Toolkit uses the Microsoft Visual C++ (MSVC) compiler. While you could compile TensorFlow from source to support newer versions, it’s much easier to install the specific versions listed here so we can install TensorFlow using pip. Take a note of the particular required software versions listed for the particular TensorFlow version you wish to use. Take a look at this chart to view the required versions of CUDA and cuDNN.Īt the time of writing (updated Feb 13, 2022), this is the most recent TensorFlow version and required software: Version Then, we need to work backwards, as TensorFlow usually does not support the latest CUDA version (note that if you compile TensorFlow from source, you can likely enable support for the latest CUDA, but we won’t do that here). The Display tab should list your graphics card (if present on your computer). You can find the model of your graphics card by clicking in the Windows search bar and entering “dxdiag.” This tool will identify your system’s hardware. įor example, my laptop has a GeForce GTX 1060, which supports CUDA and Compute Capability 6.1. First, make sure your graphics card can support CUDA by finding it on this list. To start, you need to play the version tracking game.
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