diff options
| author |  Billy Lamberta <blamb@google.com> | 2018-07-18 12:25:53 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-07-18 12:30:59 -0700 |
| commit | 3faa88ff355e22e0ac7b21d7a797d3b8dbfa88b8 (patch) | |
| tree | 02bd4e429390b50307f8450d934438607ecb7136 /tensorflow/docs_src | |
| parent | a4a2d0a9654a5c2c75faf6dd91ee82dcd37cc004 (diff) | |
Remove mentions of developer preview in TFLite docs.
PiperOrigin-RevId: 205117878
Diffstat (limited to 'tensorflow/docs_src')
| -rw-r--r-- | tensorflow/docs_src/mobile/index.md | 3 | ||||
| -rw-r--r-- | tensorflow/docs_src/mobile/tflite/index.md | 16 |
2 files changed, 4 insertions, 15 deletions
diff --git a/tensorflow/docs_src/mobile/index.md b/tensorflow/docs_src/mobile/index.md index 419ae7094a..6032fcad02 100644 --- a/tensorflow/docs_src/mobile/index.md +++ b/tensorflow/docs_src/mobile/index.md @@ -13,9 +13,6 @@ Here are a few of the differences between the two: developed with TensorFlow Lite will have a smaller binary size, fewer dependencies, and better performance. -- TensorFlow Lite is in developer preview, so not all use cases are covered yet. - We expect you to use TensorFlow Mobile to cover production cases. - - TensorFlow Lite supports only a limited set of operators, so not all models will work on it by default. TensorFlow for Mobile has a fuller set of supported functionality. diff --git a/tensorflow/docs_src/mobile/tflite/index.md b/tensorflow/docs_src/mobile/tflite/index.md index 3d1733024e..cc4af2a875 100644 --- a/tensorflow/docs_src/mobile/tflite/index.md +++ b/tensorflow/docs_src/mobile/tflite/index.md @@ -70,10 +70,9 @@ There are several factors which are fueling interest in this domain: We believe the next wave of machine learning applications will have significant processing on mobile and embedded devices. -## TensorFlow Lite developer preview highlights +## TensorFlow Lite highlights -TensorFlow Lite is available as a developer preview and includes the -following: +TensorFlow Lite provides: - A set of core operators, both quantized and float, many of which have been tuned for mobile platforms. These can be used to create and run custom @@ -129,9 +128,6 @@ following: - Java and C++ API support -Note: This is a developer release, and it’s likely that there will be changes in -the API in upcoming versions. We do not guarantee backward or forward -compatibility with this release. ## Getting Started @@ -201,9 +197,5 @@ possible performance for a particular model on a particular device. ## Next Steps -For the developer preview, most of our documentation is on GitHub. Please take a -look at the [TensorFlow Lite -repository](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite) -on GitHub for more information and for code samples, demo applications, and -more. - +The TensorFlow Lite [GitHub repository](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite). +contains additional docs, code samples, and demo applications. |