![]() cmake -DCMAKE_TOOLCHAIN_FILE=/build/cmake/ \ DCMAKE_TOOLCHAIN_FILE flag mentioned above. Cmake ubuntu android#tensorflow/lite/įor Android cross-compilation, you need to installĪndroid NDK and provide the NDK path with ARM64 SDK or NDK in Android's case) with -DCMAKE_TOOLCHAIN_FILEįlag. In order to cross-compile the TF Lite, you namely need to provide the path to You can use CMake to build binaries for ARM64 or Android target architectures. To learn more about handling and locating packages. DFlatbuffers_DIR=/lib/cmake/flatbuffers \ tensorflow_src/tensorflow/lite -DTFLITE_ENABLE_INSTALL=ON \ Variables to point to your library installations. Use the -DCMAKE_FIND_PACKAGE_PREFER_CONFIG=ON and set the _DIR These will also need to used by the project that depends on TF Lite. You should ideally also provide your own versions of library dependencies. To build an installable package that can be used as a dependency by anotherĬMake project with find_package(tensorflow-lite CONFIG), use the tensorflow_src/tensorflow/lite -DTFLITE_KERNEL_TEST=on Unit test cross-compilation specifics can beįound in the next subsection. In order to be able to run kernel tests, you need to provide tensorflow_src/tensorflow/lite -DCMAKE_BUILD_TYPE=Debug If you need to produce a debug build which has symbol information, you need to Your workstation, simply run the following command. It generates an optimized release binary by default. Run CMake tool with configurations Release build Create CMake build directory mkdir tflite_build Note: If you're using the TensorFlow Docker image, the repo is already Clone TensorFlow repository git clone tensorflow_src The official cmake installation guide Step 2. On Ubuntu, you can simply run the following Note: This feature is available since version 2.4. Cmake ubuntu windows 10#, macOS Catalina (x86_64), Windows 10 and TensorFlow devel Docker image The following instructions have been tested on Ubuntu 16.04.3 64-bit PC (AMD64) Cmake ubuntu how to#That’s it, now you have the latest version of CMake installed on your Ubuntu Linux machine, as you can see from the output of the cmake -version command below.This page describes how to build and use the TensorFlow Lite library with Cmake ubuntu install#(Note: replace v3.20.2 with the version you want to install, see the CMake download page for a list of versions) sudo apt install build-essential libssl-dev Run the following commands to download, compile and install CMake: Advertisements This can take much longer, depending on how powerful your machines processor is. The second option is to download the source code from the CMake website and compile it on your Linux machine. You can check to see if it’s installed by running: cmake -version Install it with Snappy by running the following command: sudo snap install cmake -classic Using the Snappy package manager is the quickest and easiest way to install the latest version of CMake on Ubuntu Linux. Run the following commands to remove it: sudo apt remove -purge cmakeĪs of writing the latest version of CMake is 3.20.2 which can be installed using one of the following two options: Remove old versionīefore we begin, you’ll want to remove any previous versions of CMake that were installed with APT. This tutorial shows you how to install the latest version so that you can build software that requires newer CMake features. When you install CMake with APT, you’ll notice it installs an older version. Perfect for development environments and practice labs. Run Linux, macOS, vSphere and more on a single PC or Mac. Run Multiple Operating Systems on PC and Macĭownload VMware's Powerful desktop virtualization tool for Developers and IT Professionals. ![]()
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