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-rw-r--r--src/armnnTfLiteParser/TensorFlowLiteSupport.md14
1 files changed, 13 insertions, 1 deletions
diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md
index 8a58147fcb..507552da99 100644
--- a/src/armnnTfLiteParser/TensorFlowLiteSupport.md
+++ b/src/armnnTfLiteParser/TensorFlowLiteSupport.md
@@ -10,10 +10,22 @@ The Arm NN SDK TensorFlow Lite parser currently supports the following operators
* AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
+* CONCATENATION, 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
+* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
+
+* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
+
+* RELU
+
+* RELU6
+
+* RESHAPE
+
* SOFTMAX
* SQUEEZE
@@ -24,4 +36,4 @@ 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. \ No newline at end of file
+More machine learning operators will be supported in future releases.