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Add a flag to fix Flex delegate linking error fix iOS

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PiperOrigin-RevId: 343990557
Change-Id: I876dba09ddb675b9e678e8fc9010f4c9a0444953
This commit is contained in:
Thai Nguyen 2020-11-23 22:17:04 -08:00 committed by TensorFlower Gardener
parent 6e10cbf9e2
commit fc72a2069e
1 changed files with 9 additions and 5 deletions
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14
tensorflow/lite/g3doc/guide/ops_select.md
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@ -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++