| ------ 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 interface. |
| android.hardware.neuralnetworks@1.1 models available in Android P can be executed if they return true from the utility method compliantWithV1_0(model). |
| |
| 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 operations are currently supported. |
| |
| AndroidNN operator Tensor type supported |
| ADD (FLOAT32,QUANT8_ASYMM) |
| AVERAGE_POOL_2D (FLOAT32,QUANT8_ASYMM) |
| BATCH_TO_SPACE_ND (FLOAT32,QUANT8_ASYMM) |
| CONCATENATION (FLOAT32) |
| CONV_2D (FLOAT32,QUANT8_ASYMM) |
| DEPTHWISE_CONV_2D* (FLOAT32,QUANT8_ASYMM) |
| DIV (FLOAT32,QUANT8_ASYMM) |
| FLOOR (FLOAT32) |
| FULLY_CONNECTED (FLOAT32,QUANT8_ASYMM) |
| L2_NORMALIZATION (FLOAT32) |
| L2_POOL_2D (FLOAT32) |
| LOCAL_RESPONSE_NORMALIZATION (FLOAT32) |
| LOGISTIC (FLOAT32,QUANT8_ASYMM) |
| LSTM (FLOAT32) |
| MAX_POOL_2D (FLOAT32,QUANT8_ASYMM) |
| MEAN (FLOAT32,QUANT8_ASYMM) |
| MUL (FLOAT32,QUANT8_ASYMM) |
| PAD (FLOAT32,QUANT8_ASYMM) |
| RELU (FLOAT32,QUANT8_ASYMM) |
| RELU1 (FLOAT32,QUANT8_ASYMM) |
| RELU6 (FLOAT32,QUANT8_ASYMM) |
| RESHAPE (FLOAT32,QUANT8_ASYMM) |
| RESIZE_BILINEAR (FLOAT32) |
| SOFTMAX (FLOAT32,QUANT8_ASYMM) |
| SPACE_TO_BATCH_ND (FLOAT32,QUANT8_ASYMM) |
| SQUEEZE (FLOAT32,QUANT8_ASYMM) |
| STRIDED_SLICE (FLOAT32,QUANT8_ASYMM) |
| SUB (FLOAT32,QUANT8_ASYMM) |
| TANH (FLOAT32) |
| TRANSPOSE (FLOAT32,QUANT8_ASYMM) |
| |
| * Depthwise convolution only supports a value of 1 for the depth multiplier. In addition, the QUANT8_ASYMM version only supports 3x3 kernels. |
| |
| --- Unsupported operators --- |
| |
| The following AndroidNN 1.0 operations are currently not supported. |
| |
| DEPTH_TO_SPACE |
| DEQUANTIZE |
| EMBEDDING_LOOKUP |
| HASHTABLE_LOOKUP |
| LSH_PROJECTION |
| RNN |
| SPACE_TO_DEPTH |
| SVDF |
| |
| 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. |
