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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
* ARGMAX
* ARGMIN
* 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
* DEPTH_TO_SPACE
* DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* DEQUANTIZE
* DIV
* EQUAL
* ELU
* EXP
* FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* GATHER
* GREATER
* GREATER_OR_EQUAL
* HARD_SWISH
* LESS
* LESS_OR_EQUAL
* LOCAL_RESPONSE_NORMALIZATION
* LOGICAL_AND
* LOGICAL_NOT
* LOGICAL_OR
* LOGISTIC
* LOG_SOFTMAX
* L2_NORMALIZATION
* L2_POOL_2D
* MAXIMUM
* MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
* MEAN
* MINIMUM
* MUL
* NEG
* NOT_EQUAL
* PAD
* QUANTIZE
* RESHAPE
* RESIZE_BILINEAR
* RESIZE_NEAREST_NEIGHBOR
* RELU
* RELU6
* RSQRT
* SOFTMAX
* SPACE_TO_DEPTH
* SPLIT
* SPLIT_V
* SQRT
* SUB
* TANH
* TRANSPOSE
* TRANSPOSE_CONV
More machine learning operators will be supported in future releases.
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