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diff --git a/ReleaseNotes.txt b/ReleaseNotes.txt new file mode 100644 index 00000000..89f7e761 --- /dev/null +++ b/ReleaseNotes.txt @@ -0,0 +1,59 @@ +------ ArmNN for Android 18.02 Release Notes ------ + +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. + +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) +AVERAGE_POOL_2D (FLOAT32,QUANT8_ASYMM) +CONCATENATION (FLOAT32) +CONV_2D (FLOAT32,QUANT8_ASYMM**) +DEPTHWISE_CONV_2D*** (FLOAT32,QUANT8_ASYMM) +FLOOR (FLOAT32) +FULLY_CONNECTED (FLOAT32) +L2_NORMALIZATION (FLOAT32) +L2_POOL_2D (FLOAT32) +LOCAL_RESPONSE_NORMALIZATION (FLOAT32) +LOGISTIC (FLOAT32,QUANT8_ASYMM) +MAX_POOL_2D (FLOAT32,QUANT8_ASYMM) +MUL* (FLOAT32) +RELU (FLOAT32,QUANT8_ASYMM) +RELU1 (FLOAT32,QUANT8_ASYMM) +RELU6 (FLOAT32,QUANT8_ASYMM) +RESHAPE (FLOAT32,QUANT8_ASYMM) +RESIZE_BILINEAR (FLOAT32) +SOFTMAX (FLOAT32,QUANT8_ASYMM) +TANH (FLOAT32) + +* MUL currently does not support mixing of different tensor sizes. + +** QUANT8_ASYMM version does not support asymmetric padding. In addition, only the following configurations are supported: + 1) 1x1 convolution with strides of 1 or 2 or 3 + 2) 3x3 convolution with strides of 1 or 2 + 3) 5x5 convolution with strides of 1 or 2 + +*** 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 operations are currently not supported. + +DEPTH_TO_SPACE +DEQUANTIZE +EMBEDDING_LOOKUP +HASHTABLE_LOOKUP +LSH_PROJECTION +LSTM +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. |