commit 1ba9989c4d4fe152d2cb02c83c2da1c18b6aaf37
author Sadik Armagan <sadik.armagan@arm.com> Wed Aug 21 15:03:44 2019 +0100
committer Sadik Armagan <sadik.armagan@arm.com> Wed Aug 21 15:54:04 2019 +0000
tree 140bb785a4481eab7e1fda62bba4b663ea6c63eb
parent 5eb5f1f8e6ae4d8efbd2c57572f2aa5c4e8805f4

IVGCVSW-3512 Update NNAPISupport.txt for 19.08

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ie222e046f2fe832ad48d4b2279c8815f860f76d5

NnapiSupport.txt

diff --git a/NnapiSupport.txt b/NnapiSupport.txt
index 6f74097..3310f0e 100644
--- a/NnapiSupport.txt
+++ b/NnapiSupport.txt
@@ -10,7 +10,7 @@
 
 --- Support for Android Neural Networks HAL operations ---
 
-The following AndroidNN HAL 1.0 and 1.1 operations are currently supported:
+The following AndroidNN HAL 1.0, 1.1 and 1.2 operations are currently supported:
 
 AndroidNN operator           Tensor type supported
 ADD                          (FLOAT32,QUANT8_ASYMM)
@@ -28,15 +28,22 @@
 LOCAL_RESPONSE_NORMALIZATION (FLOAT32)
 LOGISTIC                     (FLOAT32,QUANT8_ASYMM)
 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)
 SOFTMAX                      (FLOAT32,QUANT8_ASYMM)
 SPACE_TO_BATCH_ND            (FLOAT32,QUANT8_ASYMM)
 SPACE_TO_DEPTH_ND            (FLOAT32,QUANT8_ASYMM)
@@ -45,19 +52,6 @@
 SUB                          (FLOAT32,QUANT8_ASYMM)
 TANH                         (FLOAT32,QUANT8_ASYMM)
 TRANSPOSE                    (FLOAT32,QUANT8_ASYMM)
-
-The following AndroidNN HAL 1.2 operations are currently supported:
-
-CONV_2D                      (FLOAT32,QUANT8_ASYMM)
-DEPTHWISE_CONV_2D            (FLOAT32,QUANT8_ASYMM)
-MAXIMUM                      (FLOAT32,QUANT8_ASYMM)
-MINIMUM                      (FLOAT32,QUANT8_ASYMM)
-PAD_V2                       (FLOAT32,QUANT8_ASYMM)
-PRELU                        (FLOAT32,QUANT8_ASYMM)
-QUANTIZE                     (FLOAT32,QUANT8_ASYMM)
-QUANTIZED_16BIT_LSTM         (QUANT8_ASYMM)
-RESIZE_NEAREST_NEIGHBOR      (FLOAT32,QUANT8_ASYMM)
-SOFTMAX                      (FLOAT32,QUANT8_ASYMM)
 TRANSPOSE_CONV_2D            (FLOAT32,QUANT8_ASYMM)
 
 --- Unsupported operators ---
@@ -74,7 +68,6 @@
 The following AndroidNN HAL 1.2 operations are currently not supported:
 
 CONCATENATION
-LSTM
 
 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.