IVGCVSW-5695 Update supported operators

[platform/upstream/armnn.git] / README.md

diff --git a/README.md b/README.md
index 69f1561..d645bff 100644 (file)
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ to build for a wide variety of target platforms, from a wide variety of host env
 Depending on what kind of framework (Tensorflow, Caffe, ONNX) you've been using to create your model there are multiple 
 software tools available within Arm NN that can serve your needs.
 
-Generally, there is a **parser** available **for each supported framework**. Each parser allows you to run a models from 
+Generally, there is a **parser** available **for each supported framework**. Each parser allows you to run models from 
 one framework e.g. the TfLite-Parser lets you run TfLite models. You can integrate these parsers into your own 
 application to load, optimize and execute your model. We also provide **python bindings** for our parsers and the Arm NN core.
 We call the result **PyArmNN**. Therefore your application can be conveniently written in either C++ using the "original"
@@ -70,7 +70,12 @@ or take a look at previous [github issues](https://github.com/ARM-software/armnn
 
 
 ## Note
-We are currently in the process of removing [boost](https://www.boost.org/) as a dependency to Arm NN. This process 
+1. The following tools are **deprecated** in Arm NN 21.02 and will be removed in 21.05:
+    * TensorflowParser
+    * CaffeParser
+    * Quantizer
+
+2. We are currently in the process of removing [boost](https://www.boost.org/) as a dependency to Arm NN. This process 
 is finished for everything apart from our unit tests. This means you don't need boost to build and use Arm NN but 
 you need it to execute our unit tests. Boost will soon be removed from Arm NN entirely.