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diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md new file mode 100644 index 0000000000..8a58147fcb --- /dev/null +++ b/src/armnnTfLiteParser/TensorFlowLiteSupport.md @@ -0,0 +1,27 @@ +# TensorFlow Lite operators that the Arm NN SDK supports + +This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports. + +The Arm NN SDK TensorFlow Lite parser currently only supports uint8. + +## Fully supported + +The Arm NN SDK TensorFlow Lite parser currently supports the following operators: + +* AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE + +* CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE + +* DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE + +* SOFTMAX + +* SQUEEZE + +## Tested networks + +Arm tested these operators with the following TensorFlow Lite neural network: + +* [Quantized MobileNet](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz) + +More machine learning operators will be supported in future releases.
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