diff --git a/NnapiSupport.txt b/NnapiSupport.txt
index 3cd85cb..169a869 100644
--- a/NnapiSupport.txt
+++ b/NnapiSupport.txt
@@ -17,10 +17,10 @@
 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))
+CONCATENATION                (FLOAT32, FLOAT16, QUANT8_ASYMM)
+CONV_2D                      (FLOAT32, QUANT8_ASYMM)
 DEPTH_TO_SPACE               (FLOAT32, FLOAT16, QUANT8_ASYMM)
-DEPTHWISE_CONV_2D            (FLOAT32, QUANT8_ASYMM, QUANT8_SYMM_PER_CHANNEL(only for weights))
+DEPTHWISE_CONV_2D            (FLOAT32, QUANT8_ASYMM)
 DEQUANTIZE                   (FLOAT32 (output only), QUANT8_ASYMM (input only))
 DIV                          (FLOAT32, QUANT8_ASYMM)
 EQUAL                        (FLOAT32, QUANT8_ASYMM)
@@ -29,7 +29,7 @@
 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))
+GROUPED_CONV_2D              (FLOAT32, QUANT8_ASYMM)
 INSTANCE_NORMALIZATION       (FLOAT32)
 L2_NORMALIZATION             (FLOAT32)
 L2_POOL_2D                   (FLOAT32, QUANT8_ASYMM)
@@ -45,28 +45,28 @@
 MINIMUM                      (FLOAT32, QUANT8_ASYMM)
 MUL                          (FLOAT32, QUANT8_ASYMM)
 NOT_EQUAL                    (FLOAT32, QUANT8_ASYMM)
-PAD                          (FLOAT32, QUANT8_ASYMM)
-PAD_V2                       (FLOAT32, QUANT8_ASYMM)
+PAD                          (FLOAT32, FLOAT16, QUANT8_ASYMM)
+PAD_V2                       (FLOAT32, FLOAT16, 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)
+RESHAPE                      (FLOAT32, FLOAT16, 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               (FLOAT32, QUANT8_ASYMM)
+SPACE_TO_DEPTH               (FLOAT32, FLOAT16, QUANT8_ASYMM)
 SQRT                         (FLOAT32)
-SQUEEZE                      (FLOAT32, QUANT8_ASYMM)
+SQUEEZE                      (FLOAT32, FLOAT16, 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))
+TRANSPOSE_CONV_2D            (FLOAT32, QUANT8_ASYMM)
 
 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.