Differential D13043 Diff 44273 intern/cycles/device/cuda/device_impl.cpp

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intern/cycles/device/cuda/device_impl.cpp

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# include <climits>		# include <climits>
# include <limits.h>		# include <limits.h>
# include <stdio.h>		# include <stdio.h>
# include <stdlib.h>		# include <stdlib.h>
# include <string.h>		# include <string.h>

# include "device/cuda/device_impl.h"		# include "device/cuda/device_impl.h"

# include "render/buffers.h"		# include "util/debug.h"
		# include "util/foreach.h"
# include "util/util_debug.h"		# include "util/log.h"
# include "util/util_foreach.h"		# include "util/map.h"
# include "util/util_logging.h"		# include "util/md5.h"
# include "util/util_map.h"		# include "util/path.h"
# include "util/util_md5.h"		# include "util/string.h"
# include "util/util_path.h"		# include "util/system.h"
# include "util/util_string.h"		# include "util/time.h"
# include "util/util_system.h"		# include "util/types.h"
# include "util/util_time.h"		# include "util/windows.h"
# include "util/util_types.h"
# include "util/util_windows.h"

CCL_NAMESPACE_BEGIN		CCL_NAMESPACE_BEGIN

class CUDADevice;		class CUDADevice;

bool CUDADevice::have_precompiled_kernels()		bool CUDADevice::have_precompiled_kernels()
{		{
string cubins_path = path_get("lib");		string cubins_path = path_get("lib");
▲ Show 20 Lines • Show All 327 Lines • ▼ Show 20 Lines	string command = string_printf(
kernel_arch,		kernel_arch,
major,		major,
minor,		minor,
kernel_ext,		kernel_ext,
source_path.c_str(),		source_path.c_str(),
cubin.c_str(),		cubin.c_str(),
common_cflags.c_str());		common_cflags.c_str());

printf("Compiling CUDA kernel ...\n%s\n", command.c_str());		printf("Compiling %sCUDA kernel ...\n%s\n",
		(use_adaptive_compilation()) ? "adaptive " : "",
		command.c_str());

# ifdef _WIN32		# ifdef _WIN32
command = "call " + command;		command = "call " + command;
# endif		# endif
if (system(command.c_str()) != 0) {		if (system(command.c_str()) != 0) {
set_error(		set_error(
"Failed to execute compilation command, "		"Failed to execute compilation command, "
"see console for details.");		"see console for details.");
Show All 10 Lines	# endif

printf("Kernel compilation finished in %.2lfs.\n", time_dt() - starttime);		printf("Kernel compilation finished in %.2lfs.\n", time_dt() - starttime);

return cubin;		return cubin;
}		}

bool CUDADevice::load_kernels(const uint kernel_features)		bool CUDADevice::load_kernels(const uint kernel_features)
{		{
/* TODO(sergey): Support kernels re-load for CUDA devices.		/* TODO(sergey): Support kernels re-load for CUDA devices adaptive compile.
*		*
* Currently re-loading kernel will invalidate memory pointers,		* Currently re-loading kernel will invalidate memory pointers,
* causing problems in cuCtxSynchronize.		* causing problems in cuCtxSynchronize.
*/		*/
if (cuModule) {		if (cuModule) {
VLOG(1) << "Skipping kernel reload, not currently supported.";		if (use_adaptive_compilation()) {
		VLOG(1) << "Skipping CUDA kernel reload for adaptive compilation, not currently supported.";
		}
return true;		return true;
}		}

/* check if cuda init succeeded */		/* check if cuda init succeeded */
if (cuContext == 0)		if (cuContext == 0)
return false;		return false;

/* check if GPU is supported */		/* check if GPU is supported */
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