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| author | surmeh01 <surabhi.mehta@arm.com> | 2018-05-17 14:11:25 +0100 |
|---|---|---|
| committer | telsoa01 <telmo.soares@arm.com> | 2018-05-23 16:23:49 +0100 |
| commit | 49b9e100bfbb3b8da01472a0ff48b2bd92944e01 (patch) | |
| tree | 1a998fa12f665ff0a15b299d8bae5590e0aed884 /ReleaseNotes.txt | |
| parent | 28adb40e1bb1d3f3a06a7f333f7f2a4f42d3ed4b (diff) | |
| download | android-nn-driver-49b9e100bfbb3b8da01472a0ff48b2bd92944e01.tar.gz | |
Release 18.05
Diffstat (limited to 'ReleaseNotes.txt')
| -rw-r--r-- | ReleaseNotes.txt | 59 |
1 files changed, 0 insertions, 59 deletions
diff --git a/ReleaseNotes.txt b/ReleaseNotes.txt deleted file mode 100644 index 89f7e761..00000000 --- a/ReleaseNotes.txt +++ /dev/null @@ -1,59 +0,0 @@ ------- 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. |