diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index 61af70b..5fe1513 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -44,38 +44,43 @@
 enum OperationType : uint32_t {
     OEM_OPERATION                = 0,
     ADD                          = 1,
-    AVERAGE_POOL                 = 2,
-    CAST                         = 3,
-    CONCATENATION                = 4,
-    CONV                         = 5,
-    DEPTHWISE_CONV               = 6,
-    DEPTH_TO_SPACE               = 7,
-    DEQUANTIZE                   = 8,
-    EMBEDDING_LOOKUP             = 9,
-    FAKE_QUANT                   = 10,
-    FLOOR                        = 11,
-    FULLY_CONNECTED              = 12,
-    GATHER                       = 13,
-    HASHTABLE_LOOKUP             = 14,
-    L2_NORMALIZATION             = 15,
-    L2_POOL                      = 16,
-    LOCAL_RESPONSE_NORMALIZATION = 17,
-    LOGISTIC                     = 18,
-    LSH_PROJECTION               = 19,
-    LSTM                         = 20,
-    MAX_POOL                     = 21,
-    MUL                          = 22,
-    RELU                         = 23,
-    RELU1                        = 24,
-    RELU6                        = 25,
-    RESHAPE                      = 26,
-    RESIZE_BILINEAR              = 27,
-    RNN                          = 28,
-    SOFTMAX                      = 29,
-    SPACE_TO_DEPTH               = 30,
-    SPLIT                        = 31,
-    SVDF                         = 32,
-    TANH                         = 33,
+    AVERAGE_POOL_2D              = 2,
+    CONCATENATION                = 3,
+    CONV_2D                      = 4,
+    DEPTHWISE_CONV_2D            = 5,
+    DEPTH_TO_SPACE               = 6,
+    DEQUANTIZE                   = 7,
+    EMBEDDING_LOOKUP             = 8,
+    FAKE_QUANT                   = 9,
+    FLOOR                        = 10,
+    FULLY_CONNECTED              = 11,
+    HASHTABLE_LOOKUP             = 12,
+    L2_NORMALIZATION             = 13,
+    L2_POOL_2D                   = 14,
+    LOCAL_RESPONSE_NORMALIZATION = 15,
+    LOGISTIC                     = 16,
+    LSH_PROJECTION               = 17,
+    LSTM                         = 18,
+    MAX_POOL_2D                  = 19,
+    MUL                          = 20,
+    RELU                         = 21,
+    RELU1                        = 22,
+    RELU6                        = 23,
+    RESHAPE                      = 24,
+    RESIZE_BILINEAR              = 25,
+    RNN                          = 26,
+    SOFTMAX                      = 27,
+    SPACE_TO_DEPTH               = 28,
+    SVDF                         = 29,
+    TANH                         = 30,
+};
+
+// Fused activation functions
+enum FusedActivationFunc : int32_t {
+    NONE  = 0,
+    RELU  = 1,
+    RELU1 = 2,
+    RELU6 = 3,
 };
 
 // Two special values that can be used instead of a regular poolIndex.
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp
index 6655ad3..bb9f942 100644
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp
+++ b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp
@@ -150,7 +150,7 @@
     std::vector<uint8_t> operandValues(
         reinterpret_cast<const uint8_t*>(operand2Data.data()),
         reinterpret_cast<const uint8_t*>(operand2Data.data()) + size);
-    int32_t activation[1] = {0};
+    int32_t activation[1] = {static_cast<int32_t>(FusedActivationFunc::NONE)};
     operandValues.insert(operandValues.end(), reinterpret_cast<const uint8_t*>(&activation[0]),
                          reinterpret_cast<const uint8_t*>(&activation[1]));
 
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.h b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.h
index fdd3b0b..9c56e6a 100644
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.h
+++ b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.h
@@ -31,6 +31,7 @@
 using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
 using ::android::hardware::neuralnetworks::V1_0::Capabilities;
 using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
+using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
 using ::android::hardware::neuralnetworks::V1_0::Model;
 using ::android::hardware::neuralnetworks::V1_0::OperationType;
 using ::android::hardware::neuralnetworks::V1_0::PerformanceInfo;