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------ ArmNN for Android NNAPI supported operations ------
This release of ArmNN for Android supports use as a driver for the Android Neural Networks API. It implements the
android.hardware.neuralnetworks@1.0, android.hardware.neuralnetworks@1.1 and android.hardware.neuralnetworks@1.2
HAL interfaces.
For more information on the Android Neural Networks API, see https://developer.android.com/ndk/guides/neuralnetworks/index.html
For integration and usage documentation, please see README.md.
--- Support for Android Neural Networks HAL operations ---
The following AndroidNN HAL 1.0, 1.1 and 1.2 operations are currently supported:
AndroidNN operator Tensor type supported
ABS (FLOAT32)
ADD (FLOAT32,QUANT8_ASYMM)
AVERAGE_POOL_2D (FLOAT32,QUANT8_ASYMM)
BATCH_TO_SPACE_ND (FLOAT32,QUANT8_ASYMM)
CONCATENATION (FLOAT32,QUANT8_ASYMM)
CONV_2D (FLOAT32,QUANT8_ASYMM,QUANT8_SYMM_PER_CHANNEL(only for weights))
DEPTHWISE_CONV_2D (FLOAT32,QUANT8_ASYMM,QUANT8_SYMM_PER_CHANNEL(only for weights))
DIV (FLOAT32,QUANT8_ASYMM)
DEQUANTIZE (FLOAT32,QUANT8_ASYMM)
EXPAND_DIMS (FLOAT32,QUANT8_ASYMM)
FLOOR (FLOAT32)
FULLY_CONNECTED (FLOAT32,QUANT8_ASYMM)
GROUPED_CONV_2D (FLOAT32,QUANT8_ASYMM,QUANT8_SYMM_PER_CHANNEL(only for weights))
INSTANCE_NORMALIZATION (FLOAT32)
L2_NORMALIZATION (FLOAT32)
L2_POOL_2D (FLOAT32,QUANT8_ASYMM)
LOCAL_RESPONSE_NORMALIZATION (FLOAT32)
LOGISTIC (FLOAT32,QUANT8_ASYMM)
LOG_SOFTMAX (FLOAT32)
LSTM (FLOAT32)
MAXIMUM (FLOAT32,QUANT8_ASYMM)
MAX_POOL_2D (FLOAT32,QUANT8_ASYMM)
MEAN (FLOAT32,QUANT8_ASYMM)
MINIMUM (FLOAT32,QUANT8_ASYMM)
MUL (FLOAT32,QUANT8_ASYMM)
PAD (FLOAT32,QUANT8_ASYMM)
PAD_V2 (FLOAT32,QUANT8_ASYMM)
PRELU (FLOAT32,QUANT8_ASYMM)
QUANTIZE (FLOAT32,QUANT8_ASYMM)
QUANTIZED_16BIT_LSTM (QUANT8_ASYMM)
RELU (FLOAT32,QUANT8_ASYMM)
RELU1 (FLOAT32,QUANT8_ASYMM)
RELU6 (FLOAT32,QUANT8_ASYMM)
RESHAPE (FLOAT32,QUANT8_ASYMM)
RESIZE_BILINEAR (FLOAT32,QUANT8_ASYMM)
RESIZE_NEAREST_NEIGHBOR (FLOAT32,QUANT8_ASYMM)
RSQRT (FLOAT32)
SOFTMAX (FLOAT32,QUANT8_ASYMM)
SPACE_TO_BATCH_ND (FLOAT32,QUANT8_ASYMM)
SPACE_TO_DEPTH_ND (FLOAT32,QUANT8_ASYMM)
SQRT (FLOAT32)
SQUEEZE (FLOAT32,QUANT8_ASYMM)
STRIDED_SLICE (FLOAT32,QUANT8_ASYMM)
SUB (FLOAT32,QUANT8_ASYMM)
TANH (FLOAT32,QUANT8_ASYMM)
TRANSPOSE (FLOAT32,QUANT8_ASYMM)
TRANSPOSE_CONV_2D (FLOAT32,QUANT8_ASYMM,QUANT8_SYMM_PER_CHANNEL(only for weights))
Where operations are not supported by the ArmNN Android NN Driver, the driver indicates this to the framework
appropriately and the framework implements those operations using a CPU implementation.
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