diff --git a/NnapiSupport.txt b/NnapiSupport.txt
index 9fdb617..10837a2 100644
--- a/NnapiSupport.txt
+++ b/NnapiSupport.txt
@@ -14,70 +14,73 @@
 The following AndroidNN HAL 1.0, 1.1, 1.2 and 1.3 operations are currently supported:
 
 AndroidNN operator           Tensor type supported
-ABS                          (FLOAT32)
-ADD                          (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-ARGMAX                       (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-ARGMIN                       (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-AVERAGE_POOL_2D              (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-BATCH_TO_SPACE_ND            (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+ABS                          (FLOAT32, FLOAT16, INT32)
+ADD                          (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+ARGMAX                       (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+ARGMIN                       (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+AVERAGE_POOL_2D              (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+BATCH_TO_SPACE_ND            (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 CAST                         (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM)
 CONCATENATION                (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 CONV_2D                      (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 DEPTH_TO_SPACE               (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 DEPTHWISE_CONV_2D            (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 DEQUANTIZE                   (FLOAT32 (output only), QUANT8_ASYMM and QUANT8_ASYMM_SIGNED (input only))
-DIV                          (FLOAT32, QUANT8_ASYMM)
-ELU                          (FLOAT32, QUANT8_ASYMM)
-EQUAL                        (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+DIV                          (FLOAT32, FLOAT16, INT32)
+ELU                          (FLOAT32, FLOAT16, QUANT8_ASYMM)
+EQUAL                        (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 EXP                          (FLOAT32, FLOAT16)
-EXPAND_DIMS                  (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+EXPAND_DIMS                  (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 FILL                         (FLOAT32, FLOAT16, INT32)
-FLOOR                        (FLOAT32)
+FLOOR                        (FLOAT32, FLOAT16)
 FULLY_CONNECTED              (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-GREATER                      (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-GREATER_EQUAL                (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-GROUPED_CONV_2D              (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-HARD_SWISH                   (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-INSTANCE_NORMALIZATION       (FLOAT32)
+GREATER                      (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+GREATER_EQUAL                (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+GROUPED_CONV_2D              (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+HARD_SWISH                   (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+INSTANCE_NORMALIZATION       (FLOAT32, FLOAT16)
 L2_NORMALIZATION             (FLOAT32)
-L2_POOL_2D                   (FLOAT32, QUANT8_ASYMM)
-LESS                         (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-LESS_EQUAL                   (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+L2_POOL_2D                   (FLOAT32, FLOAT16)
+LESS                         (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+LESS_EQUAL                   (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 LOCAL_RESPONSE_NORMALIZATION (FLOAT32)
 LOGICAL_AND                  (BOOL8)
 LOGICAL_NOT                  (BOOL8)
 LOGICAL_OR                   (BOOL8)
-LOGISTIC                     (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-LOG_SOFTMAX                  (FLOAT32)
+LOGISTIC                     (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+LOG_SOFTMAX                  (FLOAT32, FLOAT16)
 LSTM                         (FLOAT32)
-MAXIMUM                      (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-MAX_POOL_2D                  (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-MEAN                         (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-MINIMUM                      (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-MUL                          (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-NEG                          (FLOAT32)
-NOT_EQUAL                    (FLOAT32, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-PAD                          (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+MAXIMUM                      (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+MAX_POOL_2D                  (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+MEAN                         (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+MINIMUM                      (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+MUL                          (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+NEG                          (FLOAT32, FLOAT16)
+NOT_EQUAL                    (BOOL8, FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+PAD                          (FLOAT32, FLOAT16, QUANT8_ASYMM)
 PAD_V2                       (FLOAT32, FLOAT16, QUANT8_ASYMM)
-PRELU                        (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+PRELU                        (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 QUANTIZE                     (FLOAT32 (input only), QUANT8_ASYMM and QUANT8_ASYMM_SIGNED (output only))
 QUANTIZED_16BIT_LSTM         (QUANT8_ASYMM)
 QUANTIZED_LSTM               (QUANT8_ASYMM)
-RELU                         (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-RELU1                        (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-RELU6                        (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+REDUCE_MAX                   (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+REDUCE_MIN                   (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+REDUCE_SUM                   (FLOAT32, FLOAT16)
+RELU                         (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+RELU1                        (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+RELU6                        (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 RESHAPE                      (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-RESIZE_BILINEAR              (FLOAT32, QUANT8_ASYMM)
-RESIZE_NEAREST_NEIGHBOR      (FLOAT32, QUANT8_ASYMM)
-RSQRT                        (FLOAT32)
+RESIZE_BILINEAR              (FLOAT32, FLOAT16, QUANT8_ASYMM)
+RESIZE_NEAREST_NEIGHBOR      (FLOAT32, FLOAT16, QUANT8_ASYMM)
+RSQRT                        (FLOAT32, FLOAT16)
 SOFTMAX                      (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-SPACE_TO_BATCH_ND            (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+SPACE_TO_BATCH_ND            (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 SPACE_TO_DEPTH               (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-SQRT                         (FLOAT32)
+SQRT                         (FLOAT32, FLOAT16)
 SQUEEZE                      (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 STRIDED_SLICE                (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-SUB                          (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
-TANH                         (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+SUB                          (FLOAT32, FLOAT16, INT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
+TANH                         (FLOAT32, FLOAT16, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 TRANSPOSE                    (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 TRANSPOSE_CONV_2D            (FLOAT32, QUANT8_ASYMM, QUANT8_ASYMM_SIGNED)
 
@@ -86,5 +89,5 @@
 
 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.
\ No newline at end of file
+    - FLOAT16 input tensors are partially supported on most HAL 1.2 and 1.3 operators on the GpuAcc and
+    CpuRef backends, however not on CpuAcc.