Fix doc error/typo in using TFLite through C++
PiperOrigin-RevId: 315855497 Change-Id: If1676c8803259e6f42f7a1468ab8f3a6f2c7f46c
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@ -270,9 +270,10 @@ There are two ways to use TFLite through C++ if you build your app with the NDK:
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This is the *recommended* approach. Download the
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This is the *recommended* approach. Download the
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[TensorFlow Lite AAR hosted at JCenter](https://bintray.com/google/tensorflow/tensorflow-lite),
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[TensorFlow Lite AAR hosted at JCenter](https://bintray.com/google/tensorflow/tensorflow-lite),
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rename it to `tensorflow-lite-*.zip`, and unzip it. You must include the three
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rename it to `tensorflow-lite-*.zip`, and unzip it. You must include the four
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header files in `headers/tensorflow/lite/c/` folder and the relevant
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header files in `headers/tensorflow/lite/` and `headers/tensorflow/lite/c/`
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`libtensorflowlite_jni.so` dynamic library in `jni/` folder in your NDK project.
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folder and the relevant `libtensorflowlite_jni.so` dynamic library in `jni/`
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folder in your NDK project.
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The `c_api.h` header file contains basic documentation about using the TFLite C
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The `c_api.h` header file contains basic documentation about using the TFLite C
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API.
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API.
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@ -297,5 +298,5 @@ bazel build -c opt --config=android_arm64 //tensorflow/lite:libtensorflowlite.so
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Currently, there is no straightforward way to extract all header files needed,
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Currently, there is no straightforward way to extract all header files needed,
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so you must include all header files in `tensorflow/lite/` from the TensorFlow
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so you must include all header files in `tensorflow/lite/` from the TensorFlow
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repository. Additionally, you will need header files from
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repository. Additionally, you will need header files from
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[FlatBUffers](https://github.com/google/flatbuffers) and
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[FlatBuffers](https://github.com/google/flatbuffers) and
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[Abseil](https://github.com/abseil/abseil-cpp).
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[Abseil](https://github.com/abseil/abseil-cpp).
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