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+# TensorFlow Lite operators that the Arm NN TensorFlow Lite Delegate 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 delegate currently supports the following operators:
+
+* ABS
+
+* ADD
+
+* 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
+
+* DEQUANTIZE
+
+* DIV
+
+* EQUAL
+
+* EXP
+
+* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
+
+* GREATER
+
+* GREATER_OR_EQUAL
+
+* LESS
+
+* LESS_OR_EQUAL
+
+* LOGISTIC
+
+* LOG_SOFTMAX
+
+* L2_POOL_2D
+
+* MAXIMUM
+
+* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
+
+* MEAN
+
+* MINIMUM
+
+* MUL
+
+* NEG
+
+* NOT_EQUAL
+
+* QUANTIZE
+
+* RESHAPE
+
+* RESIZE_BILINEAR
+
+* RESIZE_NEAREST_NEIGHBOR
+
+* RELU
+
+* RELU6
+
+* RSQRT
+
+* SOFTMAX
+
+* SQRT
+
+* SUB
+
+* TANH
+
+* TRANSPOSE
+
+* TRANSPOSE_CONV
+
+More machine learning operators will be supported in future releases.