From 1121c6bf3fc4ff34b6fce2e17a2cda71be185112 Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Fri, 19 Feb 2021 09:38:03 +0000 Subject: IVGCVSW-5695 Update supported operators * Update supported operators for the delegate, parsers, serializer and deserializer Signed-off-by: Jan Eilers Change-Id: I33ac99a29d894eec055cd05411014075d78b3168 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'README.md') diff --git a/README.md b/README.md index d6028614e3..d645bffe49 100644 --- 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" -- cgit v1.2.1