tensorflow/lite/ios:TensorFlowLiteC_framework TensorFlowLiteC framework with the following command. Once Bazel is properly configured with iOS support, you can build the In theseĬases, skip to the Use in your own application You only want to test local changes to the Swift or Objective-C APIs. Build TensorFlowLiteC dynamic framework (recommended) Note: This step is not necessary if (1) you are using Bazel for your app, or (2) configure script in the root TensorFlow checkout directory, andĪnswer "Yes" when the script asks if you wish to build TensorFlow with iOS Version between _TF_MIN_BAZEL_VERSION and _TF_MAX_BAZEL_VERSION inĬonfigure.py file at the root of tensorflow repository. Users with the following command: sudo xcodebuild -license acceptīazel is the primary build system for TensorFlow. If this is a new install, you will need to accept the license agreement for all Using xcode-select: xcode-select -install If you have not already, you will need to install Xcode 8 or later and the tools You need to build it using Bazel on a macOS machine. To create a universal iOS framework for TensorFlow Lite locally, In some cases, you might wish to use a local build of TensorFlow Lite, forĮxample when you want to make local changes to TensorFlow Lite and test thoseĬhanges in your iOS app or you prefer using static framework to our providedĭynamic one. #Ios pod install how to#See iOS quickstart for moreĭetails on how to use them in your iOS projects. Releases of the TensorFlow Lite CocoaPods. ![]() Just want to use it, the easiest way is using the prebuilt stable or nightly Normally, you do not need to locally build TensorFlow Lite iOS library. This document describes how to build TensorFlow Lite iOS library on your own.
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