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authorNarumol Prangnawarat <narumol.prangnawarat@arm.com>2020-05-25 14:44:46 +0100
committerJan Eilers <jan.eilers@arm.com>2020-05-26 13:56:40 +0100
commitedcd7417c2bddc1d9155fda86f078b11583c4b2a (patch)
treee992daf0e68f765ea09512b1e9acab6a0025b3fb /src/armnnCaffeParser/CaffeSupport.md
parent68d827f1e433664c05fe03b91891b268b012a708 (diff)
downloadarmnn-edcd7417c2bddc1d9155fda86f078b11583c4b2a.tar.gz
IVGCVSW-4792 Update armnn readme and support files
* Add TPIP used by Arm NN * Add SqueezeNet to CaffeSupport.md * Add ResNet v2 50 to TensorFlowSupport.md * Update tested networks in TensorFlowLiteSupported.md Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I15927ea600a3dfffee082933d32f235f3940730e
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diff --git a/src/armnnCaffeParser/CaffeSupport.md b/src/armnnCaffeParser/CaffeSupport.md
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--- a/src/armnnCaffeParser/CaffeSupport.md
+++ b/src/armnnCaffeParser/CaffeSupport.md
@@ -11,6 +11,7 @@ Although some other neural networks might work, Arm tests the Arm NN SDK with Ca
- Yolov1_tiny.
- Lenet.
- MobileNetv1.
+- SqueezeNet v1.0 and SqueezeNet v1.1
The Arm NN SDK supports the following machine learning layers for Caffe networks: