updated symbol usage in docs

Change-Id: I522c793f9cfa6a912dcb4a3d0044e94de3d3cd0e


[ROCm/hip commit: 239ba104fd]

projects/hip/docs/markdown/hip_porting_guide.md

@@ -411,29 +411,55 @@ For example:
 
 Device Code:
 ```
-// Cuda Device Code
-__constant__ float Array[1024];
-__global__ void Inc(float *Out){
-   Int tx = hipThreadIdx_x;
-   Out[tx] = Array[tx] + 1;
+#include<hip_runtime_api.h>
+#include<hip_runtime.h>
+#include<iostream>
+
+#ifdef __HIP_PLATFORM_HCC__
+__global__ void Inc(hipLaunchParm lp, float *Ad, float *Out)
+#endif
+#ifdef __HIP_PLATFORM_NVCC__
+__constant__ float Ad[1024];
+__global__ void Inc(hipLaunchParm lp, float *Out)
+#endif
+{
+    int tx = hipThreadIdx_x;
+    Out[tx] = Ad[tx] + 1.0f;
 }
- 
-// HIP Device Code
-__global__ void Inc(hipLaunchParm lp, float *Array, float *Out){
-   Int tx = hipThreadIdx_x;
-   Out[tx] = Array[tx] + 1;
+
+int main()
+{
+    float *A, *Ad;
+    float *Out, *Outd;
+    A = new float[1024];
+    Out = new float[1024];
+
+    for(uint32_t i=0;i<1024;i++)
+    {
+        A[i] = 1.0f*i;
+        Out[i] = 0.0f;
+    }
+
+    hipMalloc((void**)&Ad, 1024*sizeof(float));
+    hipMalloc((void**)&Outd, 1024*sizeof(float));
+
+    hipMemcpy(Outd, Out, 1024*sizeof(float), hipMemcpyHostToDevice);
+
+#ifdef __HIP_PLATFORM_HCC__
+    assert(hipSuccess == hipMemcpy(Ad, A, 1024*sizeof(float), hipMemcpyHostToDevice));
+    hipLaunchKernel(Inc, dim3(1,1,1), dim3(1024,1,1), 0, 0, Ad, Outd);
+#endif
+#ifdef __HIP_PLATFORM_NVCC__
+    assert(hipSuccess == hipMemcpyToSymbol(Ad, A, 1024*sizeof(float)));
+    hipLaunchKernel(Inc, dim3(1,1,1), dim3(1024,1,1), 0, 0, Outd);
+#endif
+
+    hipMemcpy(Out, Outd, 1024*sizeof(float), hipMemcpyDeviceToHost);
+    std::cout<<Out[10]<<" "<<A[10]<<std::endl;
+    assert(Out[10] - A[10] == 1.0f);
 }
 ```
  
-Host Code:
-```
-// CUDA Host Code
-cudaMemcpyToSymbol(Array, hostArray, sizeofArray);
- 
-// HIP Host Code
-hipMemcpy(Array, hostArray, sizeofArray);
-```
- 
 ## threadfence_system
 Threadfence_system makes all device memory writes, all writes to mapped host memory, and all writes to peer memory visible to CPU and other GPU devices.
 Some implementations can provide this behavior by flushing the GPU L2 cache.