From 5610661023a4170e677027570db18a379842dac3 Mon Sep 17 00:00:00 2001 From: Sadik Armagan Date: Mon, 22 Oct 2018 12:32:39 +0100 Subject: IVGCVSW-2063 Documentation for new operations in TfLite Parser * Updated TfLite Parser read me file for new operations added Change-Id: Idd4dcbe03ee8cd8c65377e03b6e52f3766312b70 --- src/armnnTfLiteParser/TensorFlowLiteSupport.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) 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. -- cgit v1.2.1