message: Add a flag to fix Flex delegate linking error fix iOS
diff: @@ -142,14 +142,18 @@ alongside the `TensorFlowLiteSwift` or `TensorFlowLiteObjC` CocoaPods.
  pod 'TensorFlowLiteSelectTfOps', '~> 0.0.1-nightly'
  ```
  -After running `pod install`, you need to provide an additional linker flag to
  +After running `pod install`, you need to provide additional linker flags to
  force load the select TF ops framework into your project. In your Xcode project,
  go to `Build Settings` -> `Other Linker Flags`, and add:
  ```text
  -force_load $(SRCROOT)/Pods/TensorFlowLiteSelectTfOps/Frameworks/TensorFlowLiteSelectTfOps.framework/TensorFlowLiteSelectTfOps
  +-u _TF_AcquireFlexDelegate
  ```
  +Note that the `-u` flag is only required in the current nightly versions and the
  +upcoming v2.4.0 release.
  +
  You should then be able to run any models converted with the `SELECT_TF_OPS` in
  your iOS app. For example, you can modify the
  [Image Classification iOS app](https://github.com/tensorflow/examples/tree/master/lite/examples/image_classification/ios)
  @@ -183,13 +187,13 @@ similar steps described under the
  [Xcode project settings](./build_ios.md#modify_xcode_project_settings_directly)
  section in the iOS build guide.
  -After adding the framework into your app project, an additional linker flag
  -should be specified in your app project to force load the select TF ops
  -framework. In your Xcode project, go to `Build Settings` -> `Other Linker
  -Flags`, and add:
  +After adding the framework into your app project, additional linker flags should
  +be specified in your app project to force load the select TF ops framework. In
  +your Xcode project, go to `Build Settings` -> `Other Linker Flags`, and add:
  ```text
  -force_load <path/to/your/TensorFlowLiteSelectTfOps.framework/TensorFlowLiteSelectTfOps>
  +-u _TF_AcquireFlexDelegate
  ```
  ### C++
  