diff --git a/nn/common/Utils.cpp b/nn/common/Utils.cpp
index 169845a..706c01e 100644
--- a/nn/common/Utils.cpp
+++ b/nn/common/Utils.cpp
@@ -1741,7 +1741,8 @@
             if (inputType == OperandType::TENSOR_FLOAT16 ||
                 inputType == OperandType::TENSOR_FLOAT32 ||
                 inputType == OperandType::TENSOR_INT32 ||
-                inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+                inputType == OperandType::TENSOR_QUANT8_ASYMM ||
+                inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
                 inExpectedTypes = {inputType, OperandType::INT32};
                 outExpectedTypes = {inputType, OperandType::TENSOR_INT32};
             } else {
@@ -1749,7 +1750,11 @@
                            << getOperationName(opType);
                 return ANEURALNETWORKS_BAD_DATA;
             }
-            NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+            if (inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
+                NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_3));
+            } else {
+                NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+            }
             return validateOperationOperandTypes(operands, inputCount, inputIndexes,
                                                  inExpectedTypes, outputCount, outputIndexes,
                                                  outExpectedTypes);
diff --git a/nn/common/operations/TopK_V2.cpp b/nn/common/operations/TopK_V2.cpp
index 010d380..00c88a1 100644
--- a/nn/common/operations/TopK_V2.cpp
+++ b/nn/common/operations/TopK_V2.cpp
@@ -22,6 +22,8 @@
 #include "OperationsUtils.h"
 
 #include <algorithm>
+#include <utility>
+#include <vector>
 
 namespace android {
 namespace nn {
@@ -93,6 +95,11 @@
                                reinterpret_cast<uint8_t*>(valuesData), valuesShape,
                                reinterpret_cast<int32_t*>(indicesData), indicesShape);
         } break;
+        case OperandType::TENSOR_QUANT8_ASYMM_SIGNED: {
+            return evalGeneric(reinterpret_cast<const int8_t*>(inputData), inputShape, k,
+                               reinterpret_cast<int8_t*>(valuesData), valuesShape,
+                               reinterpret_cast<int32_t*>(indicesData), indicesShape);
+        } break;
         default: {
             LOG(ERROR) << "Unsupported data type: " << toString(inputShape.type);
             return false;