| # TensorFlow Lite operators that the Arm NN TensorFlow Lite Delegate supports |
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| This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports. |
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| ## Fully supported |
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| The Arm NN SDK TensorFlow Lite delegate currently supports the following operators: |
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| * ABS |
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| * ADD |
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| * AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * DEQUANTIZE |
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| * DIV |
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| * EQUAL |
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| * EXP |
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| * FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * GREATER |
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| * GREATER_OR_EQUAL |
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| * LESS |
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| * LESS_OR_EQUAL |
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| * LOGISTIC |
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| * LOG_SOFTMAX |
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| * L2_POOL_2D |
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| * MAXIMUM |
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| * MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE |
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| * MEAN |
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| * MINIMUM |
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| * MUL |
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| * NEG |
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| * NOT_EQUAL |
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| * QUANTIZE |
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| * RESHAPE |
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| * RESIZE_BILINEAR |
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| * RESIZE_NEAREST_NEIGHBOR |
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| * RELU |
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| * RELU6 |
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| * RSQRT |
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| * SOFTMAX |
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| * SQRT |
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| * SUB |
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| * TANH |
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| * TRANSPOSE |
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| * TRANSPOSE_CONV |
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| More machine learning operators will be supported in future releases. |
