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author | Jan Eilers <jan.eilers@arm.com> | 2021-02-19 09:38:03 +0000 |
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committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-22 08:32:32 +0000 |
commit | 1121c6bf3fc4ff34b6fce2e17a2cda71be185112 (patch) | |
tree | 868a1cc73d7c8ce06da8d97eb1b7260647f7d472 /README.md | |
parent | 8548e9ccb0b8a5a8780a7d35e5abf19bb13f9dbc (diff) | |
download | armnn-1121c6bf3fc4ff34b6fce2e17a2cda71be185112.tar.gz |
IVGCVSW-5695 Update supported operators
* Update supported operators for the delegate, parsers,
serializer and deserializer
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I33ac99a29d894eec055cd05411014075d78b3168
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -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" |