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Fixed formatting on 2019 Roadmap for TensorFlow Lite

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A. Unique TensorFlower 2019-03-05 20:53:15 -08:00 committed by TensorFlower Gardener
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# 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