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Apply .clangformat to all repo source files

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Change-Id: I7e79c6058f0303f9a98911e3b7dd2e8596079344


[ROCm/clr commit: 9e47fccc89]
Este commit está contenido en:
Maneesh Gupta
2018-03-12 11:29:03 +05:30
padre ecbb701440
commit 46ddefedee
Se han modificado 293 ficheros con 43980 adiciones y 45830 borrados
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projects/clr/hipamd/samples/0_Intro/square/square.hipref.cpp
+32 -35
Ver fichero
@@ -23,33 +23,31 @@ THE SOFTWARE.
#include <stdio.h>
#include "hip/hip_runtime.h"
#define CHECK(cmd) \
{\
hipError_t error = cmd;\
if (error != hipSuccess) { \
fprintf(stderr, "error: '%s'(%d) at %s:%d\n", hipGetErrorString(error), error,__FILE__, __LINE__); \
exit(EXIT_FAILURE);\
}\
}
#define CHECK(cmd) \
{ \
hipError_t error = cmd; \
if (error != hipSuccess) { \
fprintf(stderr, "error: '%s'(%d) at %s:%d\n", hipGetErrorString(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(hipLaunchParm lp, T *C_d, const T *A_d, size_t N)
{
__global__ void vector_square(hipLaunchParm lp, T* C_d, const T* A_d, size_t N) {
size_t offset = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x);
size_t stride = hipBlockDim_x * hipGridDim_x ;
size_t stride = hipBlockDim_x * hipGridDim_x;
for (size_t i=offset; i<N; i+=stride) {
for (size_t i = offset; i < N; i += stride) {
C_d[i] = A_d[i] * A_d[i];
}
}
int main(int argc, char *argv[])
{
int main(int argc, char* argv[]) {
float *A_d, *C_d;
float *A_h, *C_h;
size_t N = 1000000;
@@ -57,43 +55,42 @@ int main(int argc, char *argv[])
static int device = 0;
CHECK(hipSetDevice(device));
hipDeviceProp_t props;
CHECK(hipGetDeviceProperties(&props, device/*deviceID*/));
printf ("info: running on device %s\n", props.name);
#ifdef __HIP_PLATFORM_HCC__
printf ("info: architecture on AMD GPU device is: %d\n",props.gcnArch);
#endif
printf ("info: allocate host mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
CHECK(hipGetDeviceProperties(&props, device /*deviceID*/));
printf("info: running on device %s\n", props.name);
#ifdef __HIP_PLATFORM_HCC__
printf("info: architecture on AMD GPU device is: %d\n", props.gcnArch);
#endif
printf("info: allocate host mem (%6.2f MB)\n", 2 * Nbytes / 1024.0 / 1024.0);
A_h = (float*)malloc(Nbytes);
CHECK(A_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
CHECK(A_h == 0 ? hipErrorMemoryAllocation : hipSuccess);
C_h = (float*)malloc(Nbytes);
CHECK(C_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
// Fill with Phi + i
for (size_t i=0; i<N; i++)
{
CHECK(C_h == 0 ? hipErrorMemoryAllocation : hipSuccess);
// 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);
printf("info: allocate device mem (%6.2f MB)\n", 2 * Nbytes / 1024.0 / 1024.0);
CHECK(hipMalloc(&A_d, Nbytes));
CHECK(hipMalloc(&C_d, Nbytes));
printf ("info: copy Host2Device\n");
CHECK ( hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
printf("info: copy Host2Device\n");
CHECK(hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
const unsigned blocks = 512;
const unsigned threadsPerBlock = 256;
printf ("info: launch 'vector_square' kernel\n");
printf("info: launch 'vector_square' kernel\n");
hipLaunchKernel(vector_square, dim3(blocks), dim3(threadsPerBlock), 0, 0, C_d, A_d, N);
printf ("info: copy Device2Host\n");
CHECK ( hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
printf("info: copy Device2Host\n");
CHECK(hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
printf ("info: check result\n");
for (size_t i=0; i<N; i++) {
printf("info: check result\n");
for (size_t i = 0; i < N; i++) {
if (C_h[i] != A_h[i] * A_h[i]) {
CHECK(hipErrorUnknown);
}
}
printf ("PASSED!\n");
printf("PASSED!\n");
}