Fix memory leaks.

Shutdown CUDA properly when nvtt context is destroyed.
Fixes issue 83.
This commit is contained in:
castano 2009-03-18 05:46:53 +00:00
parent 56543e1a92
commit 8529dcf755
4 changed files with 282 additions and 224 deletions

View File

@ -224,8 +224,13 @@ Compressor::Compressor() : m(*new Compressor::Private())
{
// Select fastest CUDA device.
int device = cuda::getFastestDevice();
cuda::setDevice(device);
if (!cuda::setDevice(device))
{
m.cudaEnabled = false;
m.cuda = NULL;
}
else
{
m.cuda = new CudaCompressor();
if (!m.cuda->isValid())
@ -235,10 +240,12 @@ Compressor::Compressor() : m(*new Compressor::Private())
}
}
}
}
Compressor::~Compressor()
{
delete &m;
cuda::exit();
}
@ -254,8 +261,13 @@ void Compressor::enableCudaAcceleration(bool enable)
{
// Select fastest CUDA device.
int device = cuda::getFastestDevice();
cuda::setDevice(device);
if (!cuda::setDevice(device))
{
m.cudaEnabled = false;
m.cuda = NULL;
}
else
{
m.cuda = new CudaCompressor();
if (!m.cuda->isValid())
@ -265,6 +277,7 @@ void Compressor::enableCudaAcceleration(bool enable)
}
}
}
}
/// Check if CUDA acceleration is enabled.
bool Compressor::isCudaAccelerationEnabled() const

View File

@ -90,20 +90,34 @@ CudaCompressor::CudaCompressor() : m_bitmapTable(NULL), m_bitmapTableCTX(NULL),
#if defined HAVE_CUDA
// Allocate and upload bitmaps.
cudaMalloc((void**) &m_bitmapTable, 992 * sizeof(uint));
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess) {
fprintf(stderr, "CUDA Error: %s\n", cudaGetErrorString(err));
fflush(stderr);
nvDebugBreak();
}
if (m_bitmapTable != NULL)
{
cudaMemcpy(m_bitmapTable, s_bitmapTable, 992 * sizeof(uint), cudaMemcpyHostToDevice);
if (cudaGetLastError() != cudaSuccess) nvDebugBreak();
}
cudaMalloc((void**) &m_bitmapTableCTX, 704 * sizeof(uint));
if (cudaGetLastError() != cudaSuccess) nvDebugBreak();
if (m_bitmapTableCTX != NULL)
{
cudaMemcpy(m_bitmapTableCTX, s_bitmapTableCTX, 704 * sizeof(uint), cudaMemcpyHostToDevice);
if (cudaGetLastError() != cudaSuccess) nvDebugBreak();
}
// Allocate scratch buffers.
cudaMalloc((void**) &m_data, MAX_BLOCKS * 64U);
if (cudaGetLastError() != cudaSuccess) nvDebugBreak();
cudaMalloc((void**) &m_result, MAX_BLOCKS * 8U);
if (cudaGetLastError() != cudaSuccess) nvDebugBreak();
#endif
}
@ -114,14 +128,17 @@ CudaCompressor::~CudaCompressor()
cudaFree(m_data);
cudaFree(m_result);
cudaFree(m_bitmapTable);
cudaFree(m_bitmapTableCTX);
#endif
}
bool CudaCompressor::isValid() const
{
#if defined HAVE_CUDA
if (cudaGetLastError() != cudaSuccess)
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess)
{
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(err));
return false;
}
#endif

View File

@ -84,19 +84,26 @@ static bool isCudaDriverAvailable(int version)
if (!nvcuda.isValid())
{
nvDebug("*** CUDA driver not found.\n");
return false;
}
if (version >= 2000)
{
void * address = nvcuda.bindSymbol("cuStreamCreate");
if (address == NULL) return false;
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.0.\n");
return false;
}
}
if (version >= 2010)
{
void * address = nvcuda.bindSymbol("cuModuleLoadDataEx");
if (address == NULL) return false;
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.1.\n");
return false;
}
}
if (version >= 2020)
@ -104,16 +111,23 @@ static bool isCudaDriverAvailable(int version)
typedef CUresult (CUDAAPI * PFCU_DRIVERGETVERSION)(int * version);
PFCU_DRIVERGETVERSION driverGetVersion = (PFCU_DRIVERGETVERSION)nvcuda.bindSymbol("cuDriverGetVersion");
if (driverGetVersion == NULL) return false;
if (driverGetVersion == NULL) {
nvDebug("*** CUDA driver version < 2.2.\n");
return false;
}
int driverVersion;
if (driverGetVersion(&driverVersion) != CUDA_SUCCESS) return false;
CUresult err = driverGetVersion(&driverVersion);
if (err != CUDA_SUCCESS) {
nvDebug("*** Error querying driver version: '%s'.\n", cudaGetErrorString((cudaError_t)err));
return false;
}
return driverVersion >= version;
}
#endif // HAVE_CUDA
return false;
return true;
}
@ -121,10 +135,13 @@ static bool isCudaDriverAvailable(int version)
bool nv::cuda::isHardwarePresent()
{
#if defined HAVE_CUDA
#if NV_OS_WIN32
//if (isWindowsVista()) return false;
//if (isWindowsVista() || !isWow32()) return false;
#endif
// Make sure that CUDA driver matches CUDA runtime.
if (!isCudaDriverAvailable(CUDART_VERSION))
{
nvDebug("CUDA driver not available for CUDA runtime %d\n", CUDART_VERSION);
return false;
}
int count = deviceCount();
if (count == 1)
{
@ -137,15 +154,9 @@ bool nv::cuda::isHardwarePresent()
{
return false;
}
// Make sure that CUDA driver matches CUDA runtime.
if (!isCudaDriverAvailable(CUDART_VERSION))
{
return false;
}
// @@ Make sure that warp size == 32
}
return count > 0;
#else
@ -205,8 +216,24 @@ bool nv::cuda::setDevice(int i)
nvCheck(i < deviceCount());
#if defined HAVE_CUDA
cudaError_t result = cudaSetDevice(i);
if (result != cudaSuccess) {
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
}
return result == cudaSuccess;
#else
return false;
#endif
}
void nv::cuda::exit()
{
#if defined HAVE_CUDA
cudaError_t result = cudaThreadExit();
if (result != cudaSuccess) {
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
}
#endif
}

View File

@ -33,6 +33,7 @@ namespace nv
int deviceCount();
int getFastestDevice();
bool setDevice(int i);
void exit();
};
} // nv namespace