86 lines
1.1 KiB
Markdown
86 lines
1.1 KiB
Markdown
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# 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
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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.
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