IVGCVSW-4056 Update NNAPISupport.txt for 19.11

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I3e8069d6cb4a2149396329fee4643d0fc5a12181

1 files changed, 48 insertions, 37 deletions

diff --git a/NnapiSupport.txt b/NnapiSupport.txt
index a3981578..3cd85cbe 100644
--- a/NnapiSupport.txt
+++ b/NnapiSupport.txt
@@ -14,52 +14,63 @@ 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)
+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))
+DEPTH_TO_SPACE               (FLOAT32, FLOAT16, QUANT8_ASYMM)
+DEPTHWISE_CONV_2D            (FLOAT32, QUANT8_ASYMM, QUANT8_SYMM_PER_CHANNEL(only for weights))
+DEQUANTIZE                   (FLOAT32 (output only), QUANT8_ASYMM (input only))
+DIV                          (FLOAT32, QUANT8_ASYMM)
+EQUAL                        (FLOAT32, QUANT8_ASYMM)
+EXPAND_DIMS                  (FLOAT32, FLOAT16, QUANT8_ASYMM)
 FLOOR                        (FLOAT32)
-FULLY_CONNECTED              (FLOAT32,QUANT8_ASYMM)
-GROUPED_CONV_2D              (FLOAT32,QUANT8_ASYMM,QUANT8_SYMM_PER_CHANNEL(only for weights))
+FULLY_CONNECTED              (FLOAT32, QUANT8_ASYMM)
+GREATER                      (FLOAT32, QUANT8_ASYMM)
+GREATER_EQUAL                (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)
+L2_POOL_2D                   (FLOAT32, QUANT8_ASYMM)
+LESS                         (FLOAT32, QUANT8_ASYMM)
+LESS_EQUAL                   (FLOAT32, QUANT8_ASYMM)
 LOCAL_RESPONSE_NORMALIZATION (FLOAT32)
-LOGISTIC                     (FLOAT32,QUANT8_ASYMM)
+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)
+MAXIMUM                      (FLOAT32, QUANT8_ASYMM)
+MAX_POOL_2D                  (FLOAT32, QUANT8_ASYMM)
+MEAN                         (FLOAT32, QUANT8_ASYMM)
+MINIMUM                      (FLOAT32, QUANT8_ASYMM)
+MUL                          (FLOAT32, QUANT8_ASYMM)
+NOT_EQUAL                    (FLOAT32, QUANT8_ASYMM)
+PAD                          (FLOAT32, QUANT8_ASYMM)
+PAD_V2                       (FLOAT32, QUANT8_ASYMM)
+PRELU                        (FLOAT32, QUANT8_ASYMM)
+QUANTIZE                     (FLOAT32 (input only), QUANT8_ASYMM (output only))
 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)
+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)
+SOFTMAX                      (FLOAT32, QUANT8_ASYMM)
+SPACE_TO_BATCH_ND            (FLOAT32, QUANT8_ASYMM)
+SPACE_TO_DEPTH               (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))
+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.
+
+NOTE: By convention, only those tensor types have been listed above, which are fully supported across all
+ArmNN backends. FLOAT16 input tensors are partially supported on most HAL 1.2 operators on the GpuAcc and
+CpuRef backends, however not on CpuAcc.