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-# 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.
-
-## Fully supported
-
-The Arm NN SDK TensorFlow Lite parser currently supports the following operators:
-
-* ADD
-
-* AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* BATCH_TO_SPACE
-
-* CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* DEPTH_TO_SPACE
-
-* DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* DEQUANTIZE
-
-* DIV
-
-* ELU
-
-* EXP
-
-* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* GATHER
-
-* HARD_SWISH
-
-* LEAKY_RELU
-
-* LOGISTIC
-
-* L2_NORMALIZATION
-
-* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-* MAXIMUM
-
-* MEAN
-
-* MINIMUM
-
-* MUL
-
-* NEG
-
-* PACK
-
-* PAD
-
-* QUANTIZE
-
-* RELU
-
-* RELU6
-
-* RESHAPE
-
-* RESIZE_BILINEAR
-
-* RESIZE_NEAREST_NEIGHBOR
-
-* SLICE
-
-* SOFTMAX
-
-* SPACE_TO_BATCH
-
-* SPLIT
-
-* SPLIT_V
-
-* SQUEEZE
-
-* STRIDED_SLICE
-
-* SUB
-
-* TANH
-
-* TRANSPOSE
-
-* TRANSPOSE_CONV
-
-* UNPACK
-
-## Custom Operator
-
-* TFLite_Detection_PostProcess
-
-## 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)
-
-* [Quantized SSD MobileNet](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18.tar.gz)
-
-* DeepSpeech v1 converted from [TensorFlow model](https://github.com/mozilla/DeepSpeech/releases/tag/v0.4.1)
-
-* DeepSpeaker
-
-* [DeepLab v3+](https://www.tensorflow.org/lite/models/segmentation/overview)
-
-* FSRCNN
-
-* EfficientNet-lite
-
-* RDN converted from [TensorFlow model](https://github.com/hengchuan/RDN-TensorFlow)
-
-* Quantized RDN (CpuRef)
-
-* [Quantized Inception v3](http://download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz)
-
-* [Quantized Inception v4](http://download.tensorflow.org/models/inception_v4_299_quant_20181026.tgz) (CpuRef)
-
-* Quantized ResNet v2 50 (CpuRef)
-
-* Quantized Yolo v3 (CpuRef)
-
-More machine learning operators will be supported in future releases.