From 741e7ae94feb17de80c573b551bb08419e9f6d45 Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Tue, 5 Mar 2019 20:53:15 -0800
Subject: [PATCH] Fixed formatting on 2019 Roadmap for TensorFlow Lite

PiperOrigin-RevId: 236974986
---
 tensorflow/lite/g3doc/guide/roadmap.md | 38 +++++++++++++-------------
 1 file changed, 19 insertions(+), 19 deletions(-)

diff --git a/tensorflow/lite/g3doc/guide/roadmap.md b/tensorflow/lite/g3doc/guide/roadmap.md
index eab222fe6b5..a93591813c3 100644
--- a/tensorflow/lite/g3doc/guide/roadmap.md
+++ b/tensorflow/lite/g3doc/guide/roadmap.md
@@ -1,6 +1,6 @@
 # TensorFlow Lite 2019 Roadmap
 
-** Updated: March 6th, 2019**
+**Updated: March 6th, 2019**
 
 The following represents a high level overview of our 2019 plan. You should be
 conscious that this roadmap may change at anytime relative to a range of factors
@@ -14,64 +14,64 @@ roadmap and provide us feedback in the TF Lite discussion groups and forums.
 
 ## Usability
 
-*   More ops coverage
+*   **More ops coverage**
     *   Prioritize many more ops based on user feedback
-*   Op versioning & signatures
+*   **Op versioning & signatures**
     *   Op kernels will get version numbers
     *   Op kernels will be identifiable by signature
-*   New Convertor
+*   **New Convertor**
     *   Implementing a new TensorFlow Lite convertor that will better handle
         graph conversion (i.e. control flow, conditionals etc) and replace TOCO
-*   Continue to improve TF Select Ops
+*   **Continue to improve TF Select Ops**
     *   Support more types of conversion utilizing TF Selects such as hash
         tables, strings etc.
     *   Support smaller binary size when using select TF ops via op stripping
-*   LSTM / RNN support
+*   **LSTM / RNN support**
     *   Add full support of conversion for LSTMs and RNNs
-*   Graph Visualization Tooling
+*   **Graph Visualization Tooling**
     *   Provide enhanced graph visualization tooling
-*   Pre-and-post processing support
+*   **Pre-and-post processing support**
     *   Add more support for pre-and-post processing of inference
-*   Control Flow & Training on-device
+*   **Control Flow & Training on-device**
     *   Add support for control flow related ops
     *   Add support for training on-device
-*   New APIs
+*   **New APIs**
     *   New C API as core for language bindings and most clients
     *   Objective-C API for iOS
     *   SWIFT API for iOS
     *   Updated Java API for Android
     *   C# Unity language bindings
-*   Add more Models
+*   **Add more Models**
     *   Add more models to the support section of the site
 
 ## Performance
 
-*   More hardware delegates
+*   **More hardware delegates**
     *   Add support for more hardware delegates
-*   Support NN API
+*   **Support NN API**
     *   Continually support and improve support for NN API
-*   Framework Extensibility
+*   **Framework Extensibility**
     *   Enable simplistic overwriting of CPU kernels with customized optimized
         versions
-*   GPU Delegate
+*   **GPU Delegate**
     *   Continue to extend the total support ops for OpenGL and Metal ops
     *   Open-source
-*   Improve TFLite CPU performance
+*   **Improve TFLite CPU performance**
     *   Optimizations for float and quantized models
 
 ## Optimization
 
-*   Model Optimization Toolkit
+*   **Model Optimization Toolkit**
     *   Post training quantization + hybrid kernels
     *   Post Training quantization + fixed-point kernels
     *   Training with quantization
-*   More support for more techniques
+*   **More support for more techniques**
     *   RNN Support
     *   Sparsity/Pruning
     *   Lower bit-width support
 
 ## Portability
 
-*   Microcontroller Support
+*   **Microcontroller Support**
     *   Add support for a range of 8-bit, 16-bit and 32-bit MCU architecture use
         cases for Speech and Image Classification