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/*
* Adopted from OpenSubdiv with the following license:
*
* Copyright 2015 Pixar
*
* Licensed under the Apache License, Version 2.0 (the "Apache License")
* with the following modification; you may not use this file except in
* compliance with the Apache License and the following modification to it:
* Section 6. Trademarks. is deleted and replaced with:
*
* 6. Trademarks. This License does not grant permission to use the trade
* names, trademarks, service marks, or product names of the Licensor
* and its affiliates, except as required to comply with Section 4(c) of
* the License and to reproduce the content of the NOTICE file.
*
* You may obtain a copy of the Apache License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the Apache License with the above modification is
* distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the Apache License for the specific
* language governing permissions and limitations under the Apache License.
*/
#ifdef OPENSUBDIV_HAS_CUDA
#ifdef _MSC_VER
# include "iso646.h"
#endif
#include "opensubdiv_device_context_cuda.h"
#if defined(_WIN32)
# include <windows.h>
#elif defined(__APPLE__)
# include <OpenGL/OpenGL.h>
#else
# include <X11/Xlib.h>
# include <GL/glx.h>
#endif
#include <cstdio>
#include <algorithm>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cuda_gl_interop.h>
#define message(fmt, ...)
//#define message(fmt, ...) fprintf(stderr, fmt, __VA_ARGS__)
#define error(fmt, ...) fprintf(stderr, fmt, __VA_ARGS__)
static int _GetCudaDeviceForCurrentGLContext()
{
// Find and use the CUDA device for the current GL context
unsigned int interopDeviceCount = 0;
int interopDevices[1];
cudaError_t status = cudaGLGetDevices(&interopDeviceCount, interopDevices,
1, cudaGLDeviceListCurrentFrame);
if (status == cudaErrorNoDevice or interopDeviceCount != 1) {
message("CUDA no interop devices found.\n");
return 0;
}
int device = interopDevices[0];
#if defined(_WIN32)
return device;
#elif defined(__APPLE__)
return device;
#else // X11
Display * display = glXGetCurrentDisplay();
int screen = DefaultScreen(display);
if (device != screen) {
error("The CUDA interop device (%d) does not match "
"the screen used by the current GL context (%d), "
"which may cause slow performance on systems "
"with multiple GPU devices.", device, screen);
}
message("CUDA init using device for current GL context: %d\n", device);
return device;
#endif
}
/* From "NVIDIA GPU Computing SDK 4.2/C/common/inc/cutil_inline_runtime.h": */
/* Beginning of GPU Architecture definitions */
inline int _ConvertSMVer2Cores_local(int major, int minor)
{
/* Defines for GPU Architecture types (using the SM version to determine
* the # of cores per SM
*/
typedef struct {
int SM; /* 0xMm (hexidecimal notation),
* M = SM Major version,
* and m = SM minor version
*/
int Cores;
} sSMtoCores;
sSMtoCores nGpuArchCoresPerSM[] =
{ { 0x10, 8 }, /* Tesla Generation (SM 1.0) G80 class */
{ 0x11, 8 }, /* Tesla Generation (SM 1.1) G8x class */
{ 0x12, 8 }, /* Tesla Generation (SM 1.2) G9x class */
{ 0x13, 8 }, /* Tesla Generation (SM 1.3) GT200 class */
{ 0x20, 32 }, /* Fermi Generation (SM 2.0) GF100 class */
{ 0x21, 48 }, /* Fermi Generation (SM 2.1) GF10x class */
{ 0x30, 192}, /* Fermi Generation (SM 3.0) GK10x class */
{ -1, -1 }
};
int index = 0;
while (nGpuArchCoresPerSM[index].SM != -1) {
if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor)) {
return nGpuArchCoresPerSM[index].Cores;
}
index++;
}
printf("MapSMtoCores undefined SMversion %d.%d!\n", major, minor);
return -1;
}
/* End of GPU Architecture definitions. */
/* This function returns the best GPU (with maximum GFLOPS) */
inline int cutGetMaxGflopsDeviceId()
{
int current_device = 0, sm_per_multiproc = 0;
int max_compute_perf = 0, max_perf_device = -1;
int device_count = 0, best_SM_arch = 0;
int compat_major, compat_minor;
cuDeviceGetCount(&device_count);
/* Find the best major SM Architecture GPU device. */
while (current_device < device_count) {
cuDeviceComputeCapability(&compat_major, &compat_minor, current_device);
if (compat_major > 0 && compat_major < 9999) {
best_SM_arch = std::max(best_SM_arch, compat_major);
}
current_device++;
}
/* Find the best CUDA capable GPU device. */
current_device = 0;
while (current_device < device_count) {
cuDeviceComputeCapability(&compat_major, &compat_minor, current_device);
if (compat_major == 9999 && compat_minor == 9999) {
sm_per_multiproc = 1;
} else {
sm_per_multiproc = _ConvertSMVer2Cores_local(compat_major,
compat_minor);
}
int multi_processor_count;
cuDeviceGetAttribute(&multi_processor_count,
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
current_device);
int clock_rate;
cuDeviceGetAttribute(&clock_rate,
CU_DEVICE_ATTRIBUTE_CLOCK_RATE,
current_device);
int compute_perf = multi_processor_count * sm_per_multiproc * clock_rate;
if (compute_perf > max_compute_perf) {
/* If we find GPU with SM major > 2, search only these */
if (best_SM_arch > 2) {
/* If our device==dest_SM_arch, choose this, or else pass. */
if (compat_major == best_SM_arch) {
max_compute_perf = compute_perf;
max_perf_device = current_device;
}
} else {
max_compute_perf = compute_perf;
max_perf_device = current_device;
}
}
++current_device;
}
return max_perf_device;
}
bool CudaDeviceContext::HAS_CUDA_VERSION_4_0()
{
#ifdef OPENSUBDIV_HAS_CUDA
static bool cudaInitialized = false;
static bool cudaLoadSuccess = true;
if (!cudaInitialized) {
cudaInitialized = true;
# ifdef OPENSUBDIV_HAS_CUEW
cudaLoadSuccess = cuewInit(CUEW_INIT_CUDA) == CUEW_SUCCESS;
if (!cudaLoadSuccess) {
fprintf(stderr, "Loading CUDA failed.\n");
}
# endif
// Need to initialize CUDA here so getting device
// with the maximum FPLOS works fine.
if (cuInit(0) == CUDA_SUCCESS) {
// This is to deal with cases like NVidia Optimus,
// when there might be CUDA library installed but
// NVidia card is not being active.
if (cutGetMaxGflopsDeviceId() < 0) {
cudaLoadSuccess = false;
}
}
else {
cudaLoadSuccess = false;
}
}
return cudaLoadSuccess;
#else
return false;
#endif
}
CudaDeviceContext::CudaDeviceContext()
: _initialized(false) {
}
CudaDeviceContext::~CudaDeviceContext() {
cudaDeviceReset();
}
bool CudaDeviceContext::Initialize()
{
/* See if any cuda device is available. */
int deviceCount = 0;
cudaGetDeviceCount(&deviceCount);
message("CUDA device count: %d\n", deviceCount);
if (deviceCount <= 0) {
return false;
}
cudaGLSetGLDevice(_GetCudaDeviceForCurrentGLContext());
_initialized = true;
return true;
}
#endif /* OPENSUBDIV_HAS_CUDA */
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