diff --git a/include/core/operator.h b/include/core/operator.h
index cca67297..5ca1e918 100644
--- a/include/core/operator.h
+++ b/include/core/operator.h
@@ -121,6 +121,7 @@ class OpRegistry {
             FOP(ConvBackwardData);
             FOP(Matmul);
             FOP(ConvTrans);
+            FOP(ConvTransNHWC);
             FOP(G2BMM);
             FOP(GBMM);
             FOP(Pad);
@@ -209,7 +210,8 @@ class OpRegistry {
             //
             FOP(MemBound);
         default:
-            IT_ASSERT(false);
+            IT_ASSERT(false, "Unknown OpType " +
+                                 std::to_string(enum_to_underlying(opType)));
             break;
         }
 #undef FOP
diff --git a/include/core/tensor.h b/include/core/tensor.h
index 8417a2b2..61ba2bac 100644
--- a/include/core/tensor.h
+++ b/include/core/tensor.h
@@ -109,13 +109,13 @@ class TensorObj : public TensorBaseObj {
     size_t getOffsetByBroadcastOffset(size_t bcOffset, Shape bcShape) const;
 
   private:
-    template <class T> string dataToString() const {
+    template <class T> string dataToString(void *rawPtr) const {
         std::stringstream builder;
         builder << "Tensor: " << guid << std::endl;
 
         auto numDims = shape.size();
         auto dimSzVec = vector<int>(numDims, 1);
-        auto ptr = data->getPtr<T *>();
+        T *ptr = (T *)rawPtr;
         dimSzVec[numDims - 1] = shape[numDims - 1];
 
         for (int i = numDims - 1; i != 0; --i)
diff --git a/include/operators/unary.h b/include/operators/unary.h
index 7d096269..1df2b4a7 100644
--- a/include/operators/unary.h
+++ b/include/operators/unary.h
@@ -304,5 +304,4 @@ DEFINE_UNARY_OBJ(Sqrt, OpType::Sqrt)
 DEFINE_UNARY_OBJ(Rsqrt, OpType::Rsqrt)
 DEFINE_UNARY_OBJ(Round, OpType::Round)
 DEFINE_UNARY_OBJ(Square, OpType::Square)
-DEFINE_UNARY_OBJ(PRelu, OpType::PRelu)
 }; // namespace infini
diff --git a/src/core/tensor.cc b/src/core/tensor.cc
index 00ee1b7d..bc173216 100644
--- a/src/core/tensor.cc
+++ b/src/core/tensor.cc
@@ -67,12 +67,19 @@ vector<size_t> TensorObj::getStride() const {
 
 void TensorObj::printData() const {
     IT_ASSERT(data != nullptr);
-    if (!runtime->isCpu())
-        IT_TODO_HALT();
+    void *ptr = nullptr;
+    Blob buffer;
+    if (!runtime->isCpu()) { // copy data to main memory
+        buffer = NativeCpuRuntimeObj::getInstance()->allocBlob(getBytes());
+        runtime->copyBlobToCPU(buffer->getPtr<void *>(),
+                               getRawDataPtr<void *>(), getBytes());
+        ptr = buffer->getPtr<void *>();
+    } else
+        ptr = data->getPtr<float *>();
 
 #define TRY_PRINT(N)                                                           \
     if (dtype == DataType(N))                                                  \
-        std::cout << dataToString<DT<N>::t>() << std::endl;
+        std::cout << dataToString<DT<N>::t>(ptr) << std::endl;
 
     TRY_PRINT(0)          // fmt: new line
     else TRY_PRINT(1)     //