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<div class="title">TensorFlow Lite operators that the Arm NN SDK supports </div> </div>
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<div class="textblock"><p>This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports.</p>
<h2>Fully supported</h2>
<p>The Arm NN SDK TensorFlow Lite parser currently supports the following operators:</p>
<ul>
<li>ADD</li>
<li>AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>BATCH_TO_SPACE</li>
<li>CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>DEQUANTIZE</li>
<li>FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>LOGISTIC</li>
<li>L2_NORMALIZATION</li>
<li>MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE</li>
<li>MAXIMUM</li>
<li>MEAN</li>
<li>MINIMUM</li>
<li>MUL</li>
<li>PACK</li>
<li>PAD</li>
<li>QUANTIZE</li>
<li>RELU</li>
<li>RELU6</li>
<li>RESHAPE</li>
<li>RESIZE_BILINEAR</li>
<li>RESIZE_NEAREST_NEIGHBOR</li>
<li>SLICE</li>
<li>SOFTMAX</li>
<li>SPACE_TO_BATCH</li>
<li>SPLIT</li>
<li>SQUEEZE</li>
<li>STRIDED_SLICE</li>
<li>SUB</li>
<li>TANH</li>
<li>TRANSPOSE</li>
<li>TRANSPOSE_CONV</li>
<li>UNPACK</li>
</ul>
<h2>Custom Operator</h2>
<ul>
<li>TFLite_Detection_PostProcess</li>
</ul>
<h2>Tested networks</h2>
<p>Arm tested these operators with the following TensorFlow Lite neural network:</p>
<ul>
<li><a href="http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz">Quantized MobileNet</a></li>
<li><a href="http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18.tar.gz">Quantized SSD MobileNet</a></li>
<li>DeepSpeech v1 converted from <a href="https://github.com/mozilla/DeepSpeech/releases/tag/v0.4.1">TensorFlow model</a></li>
<li>DeepSpeaker</li>
</ul>
<p>More machine learning operators will be supported in future releases. </p>
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