From 2faf2800a08634918c1c7abc5872a7850bb73ecd Mon Sep 17 00:00:00 2001
From: Chris Kitching <chriskitching@linux.com>
Date: Wed, 18 Oct 2017 13:58:34 +0100
Subject: [PATCH] Add square.cu to lit testsuite

---
 tests/hipify-clang/square.cu | 114 +++++++++++++++++++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 tests/hipify-clang/square.cu

diff --git a/tests/hipify-clang/square.cu b/tests/hipify-clang/square.cu
new file mode 100644
index 0000000000..e0c72094a8
--- /dev/null
+++ b/tests/hipify-clang/square.cu
@@ -0,0 +1,114 @@
+// RUN: %run_test hipify "%s" "%t" %cuda_args
+
+/*
+Copyright (c) 2015-2016 Advanced Micro Devices, Inc. All rights reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+*/
+#include <stdio.h>
+#include <cuda_runtime.h>
+
+#define CHECK(cmd) \
+{\
+    cudaError_t error  = cmd;\
+    if (error != cudaSuccess) { \
+        fprintf(stderr, "error: '%s'(%d) at %s:%d\n", cudaGetErrorString(error), error,__FILE__, __LINE__); \
+        exit(EXIT_FAILURE);\
+	  }\
+}
+
+
+/*
+ * Square each element in the array A and write to array C.
+ */
+template <typename T>
+__global__ void
+vector_square(T *C_d, const T *A_d, size_t N)
+{
+    // CHECK: size_t offset = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x);
+    // CHECK: size_t stride = hipBlockDim_x * hipGridDim_x;
+    size_t offset = (blockIdx.x * blockDim.x + threadIdx.x);
+    size_t stride = blockDim.x * gridDim.x;
+
+    for (size_t i=offset; i<N; i+=stride) {
+        C_d[i] = A_d[i] * A_d[i];
+    }
+}
+
+
+int main(int argc, char *argv[])
+{
+    float *A_d, *C_d;
+    float *A_h, *C_h;
+    size_t N = 1000000;
+    size_t Nbytes = N * sizeof(float);
+
+    // CHECK: hipDeviceProp_t props;
+    cudaDeviceProp props;
+
+    // CHECK: CHECK(hipGetDeviceProperties(&props, 0/*deviceID*/));
+    CHECK(cudaGetDeviceProperties(&props, 0/*deviceID*/));
+    printf ("info: running on device %s\n", props.name);
+
+    printf ("info: allocate host mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
+    A_h = (float*)malloc(Nbytes);
+
+    // CHECK: CHECK(A_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
+    CHECK(A_h == 0 ? cudaErrorMemoryAllocation : cudaSuccess );
+    C_h = (float*)malloc(Nbytes);
+
+    // CHECK: CHECK(C_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
+    CHECK(C_h == 0 ? cudaErrorMemoryAllocation : cudaSuccess );
+    // Fill with Phi + i
+    for (size_t i=0; i<N; i++)
+    {
+        A_h[i] = 1.618f + i;
+    }
+
+    printf ("info: allocate device mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
+    // CHECK: CHECK(hipMalloc(&A_d, Nbytes));
+    // CHECK: CHECK(hipMalloc(&C_d, Nbytes));
+    CHECK(cudaMalloc(&A_d, Nbytes));
+    CHECK(cudaMalloc(&C_d, Nbytes));
+
+
+    printf ("info: copy Host2Device\n");
+    // CHECK: CHECK ( hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
+    CHECK ( cudaMemcpy(A_d, A_h, Nbytes, cudaMemcpyHostToDevice));
+
+    const unsigned blocks = 512;
+    const unsigned threadsPerBlock = 256;
+
+    printf ("info: launch 'vector_square' kernel\n");
+    // CHECK: hipLaunchKernelGGL(vector_square, dim3(blocks), dim3(threadsPerBlock), 0, 0, C_d, A_d, N);
+    vector_square <<<blocks, threadsPerBlock>>> (C_d, A_d, N);
+
+    printf ("info: copy Device2Host\n");
+    // CHECK: CHECK ( hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
+    CHECK ( cudaMemcpy(C_h, C_d, Nbytes, cudaMemcpyDeviceToHost));
+
+    printf ("info: check result\n");
+    for (size_t i=0; i<N; i++)  {
+        if (C_h[i] != A_h[i] * A_h[i]) {
+            // CHECK: CHECK(hipErrorUnknown);
+            CHECK(cudaErrorUnknown);
+        }
+    }
+    printf ("PASSED!\n");
+}