cuda-samples/Samples/4_CUDA_Libraries/batchCUBLAS/batchCUBLAS.h

/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *  * Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *  * Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in the
 *    documentation and/or other materials provided with the distribution.
 *  * Neither the name of NVIDIA CORPORATION nor the names of its
 *    contributors may be used to endorse or promote products derived
 *    from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
 * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
 * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
 * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
 * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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 * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

/*
 * This example demonstrates how to get better performance by
 * batching CUBLAS calls with the use of using streams
 */

#include <cublas_v2.h>
#include <cuda_runtime_api.h>
#include <math.h>
#include <stdlib.h>

#define SWITCH_CHAR '-'

#define REFFUNC(funcname) ref_##funcname
#define TESTGEN(funcname) get_##funcname##_params
#define TESTPARAMS(funcname) funcname##TestParams

#define DEV_VER_DBL_SUPPORT (130)
#define DEV_VER_ALL_SUPPORT (999)

/* Errors Tests to be returned by all the Cublas test */
#define CUBLASTEST_PASSED 0
#define CUBLASTEST_FAILED 1
#define CUBLASTEST_WAIVED 2

//==============================================================================
// Device information utilities
//==============================================================================

#if defined(__cplusplus)
extern "C" {
#endif /* __cplusplus */
int getDeviceVersion(void);
size_t getDeviceMemory(void);
#if defined(__cplusplus)
}
#endif /* __cplusplus */

//==============================================================================
// Math utilities
//==============================================================================

static __inline__ int imax(int x, int y) { return (x > y) ? x : y; }

static __inline__ unsigned floatAsUInt(float x) {
  volatile union {
    float f;
    unsigned i;
  } xx;
  xx.f = x;
  return xx.i;
}

static __inline__ unsigned long long doubleAsULL(double x) {
  volatile union {
    double f;
    unsigned long long i;
  } xx;
  xx.f = x;
  return xx.i;
}

static __inline__ unsigned cuRand(void) {
  /* George Marsaglia's fast inline random number generator */
#define CUDA_ZNEW (cuda_z = 36969 * (cuda_z & 65535) + (cuda_z >> 16))
#define CUDA_WNEW (cuda_w = 18000 * (cuda_w & 65535) + (cuda_w >> 16))
#define CUDA_MWC ((CUDA_ZNEW << 16) + CUDA_WNEW)
#define CUDA_SHR3                          \
  (cuda_jsr = cuda_jsr ^ (cuda_jsr << 17), \
   cuda_jsr = cuda_jsr ^ (cuda_jsr >> 13), \
   cuda_jsr = cuda_jsr ^ (cuda_jsr << 5))
#define CUDA_CONG (cuda_jcong = 69069 * cuda_jcong + 1234567)
#define KISS ((CUDA_MWC ^ CUDA_CONG) + CUDA_SHR3)
  static unsigned int cuda_z = 362436069, cuda_w = 521288629;
  static unsigned int cuda_jsr = 123456789, cuda_jcong = 380116160;
  return KISS;
}

//==============================================================================
// cuGet and cuEqual versions
//==============================================================================

template <typename T_ELEM>
__inline__ __device__ __host__ T_ELEM cuGet(double);
template <>
__inline__ __device__ __host__ float cuGet<float>(double x) {
  return float(x);
}
template <>
__inline__ __device__ __host__ double cuGet<double>(double x) {
  return double(x);
}

template <typename T_ELEM>
__inline__ __device__ __host__ T_ELEM cuGet(double, double);
template <>
__inline__ __device__ __host__ float cuGet<float>(double x, double y) {
  return float(x);
}
template <>
__inline__ __device__ __host__ double cuGet<double>(double x, double y) {
  return double(x);
}
static __inline__ __device__ __host__ bool cuEqual(float x, float y) {
  return (x == y);
}
static __inline__ __device__ __host__ bool cuEqual(double x, double y) {
  return (x == y);
}

//==============================================================================
// Platform dependent timing utility
//==============================================================================

#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
#if !defined(WIN32_LEAN_AND_MEAN)
#define WIN32_LEAN_AND_MEAN
#endif
#include <windows.h>
static __inline__ double second(void) {
  LARGE_INTEGER t;
  static double oofreq;
  static int checkedForHighResTimer;
  static BOOL hasHighResTimer;

  if (!checkedForHighResTimer) {
    hasHighResTimer = QueryPerformanceFrequency(&t);
    oofreq = 1.0 / (double)t.QuadPart;
    checkedForHighResTimer = 1;
  }

  if (hasHighResTimer) {
    QueryPerformanceCounter(&t);
    return (double)t.QuadPart * oofreq;
  } else {
    return (double)GetTickCount() / 1000.0;
  }
}
#elif defined(__linux__) || defined(__QNX__)
#include <stddef.h>
#include <sys/resource.h>
#include <sys/time.h>
static double second(void) {
  struct timeval tv;
  gettimeofday(&tv, NULL);
  return (double)tv.tv_sec + (double)tv.tv_usec / 1000000.0;
}
#elif defined(__APPLE__)
#include <stddef.h>
#include <sys/resource.h>
#include <sys/sysctl.h>
#include <sys/time.h>
#include <sys/types.h>
static double second(void) {
  struct timeval tv;
  gettimeofday(&tv, NULL);
  return (double)tv.tv_sec + (double)tv.tv_usec / 1000000.0;
}
#else
#error unsupported platform
#endif