Differential D6068 Diff 19022 intern/cycles/device/device_optix.cpp

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intern/cycles/device/device_optix.cpp

Show First 20 Lines • Show All 171 Lines • ▼ Show 20 Lines	# endif
bool motion_blur = false;		bool motion_blur = false;
bool need_texture_info = false;		bool need_texture_info = false;
device_vector<SbtRecord> sbt_data;		device_vector<SbtRecord> sbt_data;
device_vector<TextureInfo> texture_info;		device_vector<TextureInfo> texture_info;
device_only_memory<KernelParams> launch_params;		device_only_memory<KernelParams> launch_params;
vector<device_only_memory<uint8_t>> blas;		vector<device_only_memory<uint8_t>> blas;
OptixTraversableHandle tlas_handle = 0;		OptixTraversableHandle tlas_handle = 0;

		// TODO(pmours): This is copied from device_cuda.cpp, so move to common code eventually
		int can_map_host = 0;
		size_t map_host_used = 0;
		size_t map_host_limit = 0;
		size_t device_working_headroom = 32 * 1024 * 1024LL; // 32MB
		size_t device_texture_headroom = 128 * 1024 * 1024LL; // 128MB
map<device_memory *, CUDAMem> cuda_mem_map;		map<device_memory *, CUDAMem> cuda_mem_map;
		bool move_texture_to_host = false;

public:		public:
OptiXDevice(DeviceInfo &info_, Stats &stats_, Profiler &profiler_, bool background_)		OptiXDevice(DeviceInfo &info_, Stats &stats_, Profiler &profiler_, bool background_)
: Device(info_, stats_, profiler_, background_),		: Device(info_, stats_, profiler_, background_),
sbt_data(this, "__sbt", MEM_READ_ONLY),		sbt_data(this, "__sbt", MEM_READ_ONLY),
texture_info(this, "__texture_info", MEM_TEXTURE),		texture_info(this, "__texture_info", MEM_TEXTURE),
launch_params(this, "__params")		launch_params(this, "__params")
{		{
// Store number of CUDA streams in device info		// Store number of CUDA streams in device info
info.cpu_threads = DebugFlags().optix.cuda_streams;		info.cpu_threads = DebugFlags().optix.cuda_streams;

// Initialize CUDA driver API		// Initialize CUDA driver API
check_result_cuda(cuInit(0));		check_result_cuda(cuInit(0));

// Retrieve the primary CUDA context for this device		// Retrieve the primary CUDA context for this device
check_result_cuda(cuDeviceGet(&cuda_device, info.num));		check_result_cuda(cuDeviceGet(&cuda_device, info.num));
check_result_cuda(cuDevicePrimaryCtxRetain(&cuda_context, cuda_device));		check_result_cuda(cuDevicePrimaryCtxRetain(&cuda_context, cuda_device));

// Make that CUDA context current		// Make that CUDA context current
const CUDAContextScope scope(cuda_context);		const CUDAContextScope scope(cuda_context);

		// Limit amount of host mapped memory (see init_host_memory in device_cuda.cpp)
		size_t default_limit = 4 * 1024 * 1024 * 1024LL;
		size_t system_ram = system_physical_ram();
		if (system_ram > 0) {
		if (system_ram / 2 > default_limit) {
		map_host_limit = system_ram - default_limit;
		}
		else {
		map_host_limit = system_ram / 2;
		}
		}
		else {
		VLOG(1) << "Mapped host memory disabled, failed to get system RAM";
		}

		// Check device support for pinned host memory
		check_result_cuda(
		cuDeviceGetAttribute(&can_map_host, CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY, cuda_device));

// Create OptiX context for this device		// Create OptiX context for this device
OptixDeviceContextOptions options = {};		OptixDeviceContextOptions options = {};
# ifdef WITH_CYCLES_LOGGING		# ifdef WITH_CYCLES_LOGGING
options.logCallbackLevel = 4; // Fatal = 1, Error = 2, Warning = 3, Print = 4		options.logCallbackLevel = 4; // Fatal = 1, Error = 2, Warning = 3, Print = 4
options.logCallbackFunction =		options.logCallbackFunction =
[](unsigned int level, const char , const char message, void *) {		[](unsigned int level, const char , const char message, void *) {
switch (level) {		switch (level) {
case 1:		case 1:
▲ Show 20 Lines • Show All 611 Lines • ▼ Show 20 Lines	bool build_optix_bvh(const OptixBuildInput &build_input,

check_result_optix_ret(		check_result_optix_ret(
optixAccelComputeMemoryUsage(context, &options, &build_input, 1, &sizes));		optixAccelComputeMemoryUsage(context, &options, &build_input, 1, &sizes));

// Allocate required output buffers		// Allocate required output buffers
device_only_memory<char> temp_mem(this, "temp_build_mem");		device_only_memory<char> temp_mem(this, "temp_build_mem");
temp_mem.alloc_to_device(sizes.tempSizeInBytes);		temp_mem.alloc_to_device(sizes.tempSizeInBytes);

		out_data.type = MEM_DEVICE_ONLY;
out_data.data_type = TYPE_UNKNOWN;		out_data.data_type = TYPE_UNKNOWN;
out_data.data_elements = 1;		out_data.data_elements = 1;
out_data.data_size = sizes.outputSizeInBytes;		out_data.data_size = sizes.outputSizeInBytes;
mem_alloc(out_data);		mem_alloc(out_data);

// Finally build the acceleration structure		// Finally build the acceleration structure
check_result_optix_ret(optixAccelBuild(context,		check_result_optix_ret(optixAccelBuild(context,
NULL,		NULL,
▲ Show 20 Lines • Show All 326 Lines • ▼ Show 20 Lines	void update_launch_params(const char name, size_t offset, void data, size_t data_size)
CUdeviceptr mem = 0;		CUdeviceptr mem = 0;
check_result_cuda(cuModuleGetGlobal(&mem, &bytes, cuda_module, name));		check_result_cuda(cuModuleGetGlobal(&mem, &bytes, cuda_module, name));
assert(mem != NULL && bytes == data_size);		assert(mem != NULL && bytes == data_size);
check_result_cuda(cuMemcpyHtoD(mem, data, data_size));		check_result_cuda(cuMemcpyHtoD(mem, data, data_size));
}		}

void mem_alloc(device_memory &mem) override		void mem_alloc(device_memory &mem) override
{		{
const CUDAContextScope scope(cuda_context);		generic_alloc(mem);
		}

mem.device_size = mem.memory_size();		CUDAMem *generic_alloc(device_memory &mem, size_t pitch_padding = 0)
		{
		CUDAContextScope scope(cuda_context);

if (mem.type == MEM_TEXTURE && mem.interpolation != INTERPOLATION_NONE) {		CUdeviceptr device_pointer = 0;
CUDAMem &cmem = cuda_mem_map[&mem]; // Lock and get associated memory information		size_t size = mem.memory_size() + pitch_padding;

		CUresult mem_alloc_result = CUDA_ERROR_OUT_OF_MEMORY;
		const char *status = "";

		/* First try allocating in device memory, respecting headroom. We make
		* an exception for texture info. It is small and frequently accessed,
		* so treat it as working memory.
		*
		* If there is not enough room for working memory, we will try to move
		* textures to host memory, assuming the performance impact would have
		* been worse for working memory. */
		bool is_texture = (mem.type == MEM_TEXTURE) && (&mem != &texture_info);
		bool is_image = is_texture && (mem.data_height > 1);

CUDA_TEXTURE_DESC tex_desc = {};		size_t headroom = (is_texture) ? device_texture_headroom : device_working_headroom;
tex_desc.flags = CU_TRSF_NORMALIZED_COORDINATES;
CUDA_RESOURCE_DESC res_desc = {};

		size_t total = 0, free = 0;
		cuMemGetInfo(&free, &total);

		/* Move textures to host memory if needed. */
		if (!move_texture_to_host && !is_image && (size + headroom) >= free) {
		move_textures_to_host(size + headroom - free, is_texture);
		cuMemGetInfo(&free, &total);
		}

		/* Allocate in device memory. */
		if (!move_texture_to_host && (size + headroom) < free) {
		mem_alloc_result = cuMemAlloc(&device_pointer, size);
		if (mem_alloc_result == CUDA_SUCCESS) {
		status = " in device memory";
		}
		}

		/* Fall back to mapped host memory if needed and possible. */
		void *map_host_pointer = 0;
		bool free_map_host = false;

		if (mem_alloc_result != CUDA_SUCCESS && can_map_host &&
		map_host_used + size < map_host_limit) {
		if (mem.shared_pointer) {
		/* Another device already allocated host memory. */
		mem_alloc_result = CUDA_SUCCESS;
		map_host_pointer = mem.shared_pointer;
		}
		else {
		/* Allocate host memory ourselves. */
		mem_alloc_result = cuMemHostAlloc(
		&map_host_pointer, size, CU_MEMHOSTALLOC_DEVICEMAP \| CU_MEMHOSTALLOC_WRITECOMBINED);
		mem.shared_pointer = map_host_pointer;
		free_map_host = true;
		}

		if (mem_alloc_result == CUDA_SUCCESS) {
		cuMemHostGetDevicePointer_v2(&device_pointer, mem.shared_pointer, 0);
		map_host_used += size;
		status = " in host memory";

		/* Replace host pointer with our host allocation. Only works if
		* CUDA memory layout is the same and has no pitch padding. Also
		* does not work if we move textures to host during a render,
		* since other devices might be using the memory. */
		if (!move_texture_to_host && pitch_padding == 0 && mem.host_pointer &&
		mem.host_pointer != mem.shared_pointer) {
		memcpy(mem.shared_pointer, mem.host_pointer, size);
		mem.host_free();
		mem.host_pointer = mem.shared_pointer;
		}
		}
		else {
		status = " failed, out of host memory";
		}
		}
		else if (mem_alloc_result != CUDA_SUCCESS) {
		status = " failed, out of device and host memory";
		}

		if (mem.name) {
		VLOG(1) << "Buffer allocate: " << mem.name << ", "
		<< string_human_readable_number(mem.memory_size()) << " bytes. ("
		<< string_human_readable_size(mem.memory_size()) << ")" << status;
		}

		if (mem_alloc_result != CUDA_SUCCESS) {
		set_error(string_printf("Buffer allocate %s", status));
		return NULL;
		}

		mem.device_pointer = (device_ptr)device_pointer;
		mem.device_size = size;
		stats.mem_alloc(size);

		if (!mem.device_pointer) {
		return NULL;
		}

		/* Insert into map of allocations. */
		CUDAMem *cmem = &cuda_mem_map[&mem];
		cmem->map_host_pointer = map_host_pointer;
		cmem->free_map_host = free_map_host;
		return cmem;
		}

		void tex_alloc(device_memory &mem)
		{
		CUDAContextScope scope(cuda_context);

		/* General variables for both architectures */
		string bind_name = mem.name;
		size_t dsize = datatype_size(mem.data_type);
		size_t size = mem.memory_size();

		CUaddress_mode address_mode = CU_TR_ADDRESS_MODE_WRAP;
switch (mem.extension) {		switch (mem.extension) {
default:
assert(0);
case EXTENSION_REPEAT:		case EXTENSION_REPEAT:
tex_desc.addressMode[0] = tex_desc.addressMode[1] = tex_desc.addressMode[2] =		address_mode = CU_TR_ADDRESS_MODE_WRAP;
CU_TR_ADDRESS_MODE_WRAP;
break;		break;
case EXTENSION_EXTEND:		case EXTENSION_EXTEND:
tex_desc.addressMode[0] = tex_desc.addressMode[1] = tex_desc.addressMode[2] =		address_mode = CU_TR_ADDRESS_MODE_CLAMP;
CU_TR_ADDRESS_MODE_CLAMP;
break;		break;
case EXTENSION_CLIP:		case EXTENSION_CLIP:
tex_desc.addressMode[0] = tex_desc.addressMode[1] = tex_desc.addressMode[2] =		address_mode = CU_TR_ADDRESS_MODE_BORDER;
CU_TR_ADDRESS_MODE_BORDER;		break;
		default:
		assert(0);
break;		break;
}		}

switch (mem.interpolation) {		CUfilter_mode filter_mode;
default: // Default to linear for unsupported interpolation types		if (mem.interpolation == INTERPOLATION_CLOSEST) {
case INTERPOLATION_LINEAR:		filter_mode = CU_TR_FILTER_MODE_POINT;
tex_desc.filterMode = CU_TR_FILTER_MODE_LINEAR;		}
break;		else {
case INTERPOLATION_CLOSEST:		filter_mode = CU_TR_FILTER_MODE_LINEAR;
tex_desc.filterMode = CU_TR_FILTER_MODE_POINT;
break;
}		}

CUarray_format format;		/* Data Storage */
		if (mem.interpolation == INTERPOLATION_NONE) {
		generic_alloc(mem);
		generic_copy_to(mem);

		// Update data storage pointers in launch parameters
		# define KERNEL_TEX(data_type, tex_name) \
		if (strcmp(mem.name, #tex_name) == 0) \
		update_launch_params( \
		mem.name, offsetof(KernelParams, tex_name), &mem.device_pointer, sizeof(device_ptr));
		# include "kernel/kernel_textures.h"
		# undef KERNEL_TEX
		return;
		}

		/* Image Texture Storage */
		CUarray_format_enum format;
switch (mem.data_type) {		switch (mem.data_type) {
default:
assert(0);
case TYPE_UCHAR:		case TYPE_UCHAR:
format = CU_AD_FORMAT_UNSIGNED_INT8;		format = CU_AD_FORMAT_UNSIGNED_INT8;
break;		break;
case TYPE_UINT16:		case TYPE_UINT16:
format = CU_AD_FORMAT_UNSIGNED_INT16;		format = CU_AD_FORMAT_UNSIGNED_INT16;
break;		break;
case TYPE_UINT:		case TYPE_UINT:
format = CU_AD_FORMAT_UNSIGNED_INT32;		format = CU_AD_FORMAT_UNSIGNED_INT32;
break;		break;
case TYPE_INT:		case TYPE_INT:
format = CU_AD_FORMAT_SIGNED_INT32;		format = CU_AD_FORMAT_SIGNED_INT32;
break;		break;
case TYPE_FLOAT:		case TYPE_FLOAT:
format = CU_AD_FORMAT_FLOAT;		format = CU_AD_FORMAT_FLOAT;
break;		break;
case TYPE_HALF:		case TYPE_HALF:
format = CU_AD_FORMAT_HALF;		format = CU_AD_FORMAT_HALF;
break;		break;
		default:
		assert(0);
		return;
}		}

if (mem.data_depth > 1) { /* 3D texture using array. */		CUDAMem *cmem = NULL;
		CUarray array_3d = NULL;
		size_t src_pitch = mem.data_width * dsize * mem.data_elements;
		size_t dst_pitch = src_pitch;

		if (mem.data_depth > 1) {
		/* 3D texture using array, there is no API for linear memory. */
CUDA_ARRAY3D_DESCRIPTOR desc;		CUDA_ARRAY3D_DESCRIPTOR desc;

desc.Width = mem.data_width;		desc.Width = mem.data_width;
desc.Height = mem.data_height;		desc.Height = mem.data_height;
desc.Depth = mem.data_depth;		desc.Depth = mem.data_depth;
desc.Format = format;		desc.Format = format;
desc.NumChannels = mem.data_elements;		desc.NumChannels = mem.data_elements;
desc.Flags = 0;		desc.Flags = 0;

check_result_cuda(cuArray3DCreate(&cmem.array, &desc));		VLOG(1) << "Array 3D allocate: " << mem.name << ", "
mem.device_pointer = (device_ptr)cmem.array;		<< string_human_readable_number(mem.memory_size()) << " bytes. ("
		<< string_human_readable_size(mem.memory_size()) << ")";

		check_result_cuda(cuArray3DCreate(&array_3d, &desc));

res_desc.resType = CU_RESOURCE_TYPE_ARRAY;		if (!array_3d) {
res_desc.res.array.hArray = cmem.array;		return;
}		}
else if (mem.data_height > 0) { /* 2D texture using array. */
CUDA_ARRAY_DESCRIPTOR desc;
desc.Width = mem.data_width;
desc.Height = mem.data_height;
desc.Format = format;
desc.NumChannels = mem.data_elements;

check_result_cuda(cuArrayCreate(&cmem.array, &desc));		CUDA_MEMCPY3D param;
mem.device_pointer = (device_ptr)cmem.array;		memset(&param, 0, sizeof(param));
		param.dstMemoryType = CU_MEMORYTYPE_ARRAY;
		param.dstArray = array_3d;
		param.srcMemoryType = CU_MEMORYTYPE_HOST;
		param.srcHost = mem.host_pointer;
		param.srcPitch = src_pitch;
		param.WidthInBytes = param.srcPitch;
		param.Height = mem.data_height;
		param.Depth = mem.data_depth;

		check_result_cuda(cuMemcpy3D(&param));

res_desc.resType = CU_RESOURCE_TYPE_ARRAY;		mem.device_pointer = (device_ptr)array_3d;
res_desc.res.array.hArray = cmem.array;		mem.device_size = size;
		stats.mem_alloc(size);

		cmem = &cuda_mem_map[&mem];
		cmem->texobject = 0;
		cmem->array = array_3d;
}		}
else {		else if (mem.data_height > 0) {
check_result_cuda(cuMemAlloc((CUdeviceptr *)&mem.device_pointer, mem.device_size));		/* 2D texture, using pitch aligned linear memory. */
		int alignment = 0;
		check_result_cuda(cuDeviceGetAttribute(
		&alignment, CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT, cuda_device));
		dst_pitch = align_up(src_pitch, alignment);
		size_t dst_size = dst_pitch * mem.data_height;

		cmem = generic_alloc(mem, dst_size - mem.memory_size());
		if (!cmem) {
		return;
		}

		CUDA_MEMCPY2D param;
		memset(&param, 0, sizeof(param));
		param.dstMemoryType = CU_MEMORYTYPE_DEVICE;
		param.dstDevice = mem.device_pointer;
		param.dstPitch = dst_pitch;
		param.srcMemoryType = CU_MEMORYTYPE_HOST;
		param.srcHost = mem.host_pointer;
		param.srcPitch = src_pitch;
		param.WidthInBytes = param.srcPitch;
		param.Height = mem.data_height;

res_desc.resType = CU_RESOURCE_TYPE_LINEAR;		check_result_cuda(cuMemcpy2DUnaligned(&param));
res_desc.res.linear.devPtr = (CUdeviceptr)mem.device_pointer;		}
res_desc.res.linear.format = format;		else {
res_desc.res.linear.numChannels = mem.data_elements;		/* 1D texture, using linear memory. */
res_desc.res.linear.sizeInBytes = mem.device_size;		cmem = generic_alloc(mem);
		if (!cmem) {
		return;
}		}

check_result_cuda(cuTexObjectCreate(&cmem.texobject, &res_desc, &tex_desc, NULL));		check_result_cuda(cuMemcpyHtoD(mem.device_pointer, mem.host_pointer, size));
		}

		/* Kepler+, bindless textures. */
int flat_slot = 0;		int flat_slot = 0;
if (string_startswith(mem.name, "__tex_image")) {		if (string_startswith(mem.name, "__tex_image")) {
flat_slot = atoi(mem.name + string(mem.name).rfind("_") + 1);		int pos = string(mem.name).rfind("_");
		flat_slot = atoi(mem.name + pos + 1);
}		}
		else {
		assert(0);
		}

		CUDA_RESOURCE_DESC resDesc;
		memset(&resDesc, 0, sizeof(resDesc));

if (flat_slot >= texture_info.size())		if (array_3d) {
		resDesc.resType = CU_RESOURCE_TYPE_ARRAY;
		resDesc.res.array.hArray = array_3d;
		resDesc.flags = 0;
		}
		else if (mem.data_height > 0) {
		resDesc.resType = CU_RESOURCE_TYPE_PITCH2D;
		resDesc.res.pitch2D.devPtr = mem.device_pointer;
		resDesc.res.pitch2D.format = format;
		resDesc.res.pitch2D.numChannels = mem.data_elements;
		resDesc.res.pitch2D.height = mem.data_height;
		resDesc.res.pitch2D.width = mem.data_width;
		resDesc.res.pitch2D.pitchInBytes = dst_pitch;
		}
		else {
		resDesc.resType = CU_RESOURCE_TYPE_LINEAR;
		resDesc.res.linear.devPtr = mem.device_pointer;
		resDesc.res.linear.format = format;
		resDesc.res.linear.numChannels = mem.data_elements;
		resDesc.res.linear.sizeInBytes = mem.device_size;
		}

		CUDA_TEXTURE_DESC texDesc;
		memset(&texDesc, 0, sizeof(texDesc));
		texDesc.addressMode[0] = address_mode;
		texDesc.addressMode[1] = address_mode;
		texDesc.addressMode[2] = address_mode;
		texDesc.filterMode = filter_mode;
		texDesc.flags = CU_TRSF_NORMALIZED_COORDINATES;

		check_result_cuda(cuTexObjectCreate(&cmem->texobject, &resDesc, &texDesc, NULL));

		/* Resize once */
		if (flat_slot >= texture_info.size()) {
		/* Allocate some slots in advance, to reduce amount
		* of re-allocations. */
texture_info.resize(flat_slot + 128);		texture_info.resize(flat_slot + 128);
		}

		/* Set Mapping and tag that we need to (re-)upload to device */
TextureInfo &info = texture_info[flat_slot];		TextureInfo &info = texture_info[flat_slot];
info.data = (uint64_t)cmem.texobject;		info.data = (uint64_t)cmem->texobject;
info.cl_buffer = 0;		info.cl_buffer = 0;
info.interpolation = mem.interpolation;		info.interpolation = mem.interpolation;
info.extension = mem.extension;		info.extension = mem.extension;
info.width = mem.data_width;		info.width = mem.data_width;
info.height = mem.data_height;		info.height = mem.data_height;
info.depth = mem.data_depth;		info.depth = mem.data_depth;

// Texture information has changed and needs an update, delay this to next launch
need_texture_info = true;		need_texture_info = true;
}		}
else {
// This is not a texture but simple linear memory
check_result_cuda(cuMemAlloc((CUdeviceptr *)&mem.device_pointer, mem.device_size));

// Update data storage pointers in launch parameters		void mem_copy_to(device_memory &mem) override
# define KERNEL_TEX(data_type, tex_name) \		{
if (strcmp(mem.name, #tex_name) == 0) \		if (mem.type == MEM_TEXTURE) {
update_launch_params( \		tex_free(mem);
mem.name, offsetof(KernelParams, tex_name), &mem.device_pointer, sizeof(device_ptr));		tex_alloc(mem);
# include "kernel/kernel_textures.h"		}
# undef KERNEL_TEX		else {
		if (!mem.device_pointer) {
		generic_alloc(mem);
}		}

stats.mem_alloc(mem.device_size);		generic_copy_to(mem);
		}
}		}

void mem_copy_to(device_memory &mem) override		void generic_copy_to(device_memory &mem)
{		{
if (!mem.host_pointer \|\| mem.host_pointer == mem.shared_pointer)		if (mem.host_pointer && mem.device_pointer) {
return;		CUDAContextScope scope(cuda_context);
if (!mem.device_pointer)
mem_alloc(mem); // Need to allocate memory first if it does not exist yet

const CUDAContextScope scope(cuda_context);

if (mem.type == MEM_TEXTURE && mem.interpolation != INTERPOLATION_NONE) {
const CUDAMem &cmem = cuda_mem_map[&mem]; // Lock and get associated memory information

size_t src_pitch = mem.data_width * datatype_size(mem.data_type) * mem.data_elements;

if (mem.data_depth > 1) {
CUDA_MEMCPY3D param;
memset(&param, 0, sizeof(param));
param.dstMemoryType = CU_MEMORYTYPE_ARRAY;
param.dstArray = cmem.array;
param.srcMemoryType = CU_MEMORYTYPE_HOST;
param.srcHost = mem.host_pointer;
param.srcPitch = src_pitch;
param.WidthInBytes = param.srcPitch;
param.Height = mem.data_height;
param.Depth = mem.data_depth;

check_result_cuda(cuMemcpy3D(&param));
}
else if (mem.data_height > 0) {
CUDA_MEMCPY2D param;
memset(&param, 0, sizeof(param));
param.dstMemoryType = CU_MEMORYTYPE_ARRAY;
param.dstArray = cmem.array;
param.srcMemoryType = CU_MEMORYTYPE_HOST;
param.srcHost = mem.host_pointer;
param.srcPitch = src_pitch;
param.WidthInBytes = param.srcPitch;
param.Height = mem.data_height;

check_result_cuda(cuMemcpy2D(&param));		if (mem.host_pointer != mem.shared_pointer) {
}
else {
check_result_cuda(		check_result_cuda(
cuMemcpyHtoD((CUdeviceptr)mem.device_pointer, mem.host_pointer, mem.device_size));		cuMemcpyHtoD((CUdeviceptr)mem.device_pointer, mem.host_pointer, mem.memory_size()));
}
}		}
else {
// This is not a texture but simple linear memory
check_result_cuda(
cuMemcpyHtoD((CUdeviceptr)mem.device_pointer, mem.host_pointer, mem.device_size));
}		}
}		}

void mem_copy_from(device_memory &mem, int y, int w, int h, int elem) override		void mem_copy_from(device_memory &mem, int y, int w, int h, int elem) override
{		{
// Calculate linear memory offset and size		// Calculate linear memory offset and size
const size_t size = elem * w * h;		const size_t size = elem * w * h;
const size_t offset = elem * y * w;		const size_t offset = elem * y * w;
Show All 19 Lines	if (!mem.device_pointer)
mem_alloc(mem); // Need to allocate memory first if it does not exist yet		mem_alloc(mem); // Need to allocate memory first if it does not exist yet

const CUDAContextScope scope(cuda_context);		const CUDAContextScope scope(cuda_context);
check_result_cuda(cuMemsetD8((CUdeviceptr)mem.device_pointer, 0, mem.memory_size()));		check_result_cuda(cuMemsetD8((CUdeviceptr)mem.device_pointer, 0, mem.memory_size()));
}		}

void mem_free(device_memory &mem) override		void mem_free(device_memory &mem) override
{		{
assert(mem.device_pointer);		if (mem.type == MEM_TEXTURE) {
		tex_free(mem);
const CUDAContextScope scope(cuda_context);		}
		else {
		generic_free(mem);
		}
		}

if (mem.type == MEM_TEXTURE && mem.interpolation != INTERPOLATION_NONE) {		void generic_free(device_memory &mem)
CUDAMem &cmem = cuda_mem_map[&mem]; // Lock and get associated memory information		{
		if (mem.device_pointer) {
		CUDAContextScope scope(cuda_context);
		const CUDAMem &cmem = cuda_mem_map[&mem];

if (cmem.array)		if (cmem.map_host_pointer) {
cuArrayDestroy(cmem.array);		/* Free host memory. */
else		if (cmem.free_map_host) {
cuMemFree((CUdeviceptr)mem.device_pointer);		cuMemFreeHost(cmem.map_host_pointer);
		if (mem.host_pointer == mem.shared_pointer) {
		mem.host_pointer = 0;
		}
		mem.shared_pointer = 0;
		}

if (cmem.texobject)		map_host_used -= mem.device_size;
cuTexObjectDestroy(cmem.texobject);
}		}
else {		else {
// This is not a texture but simple linear memory		/* Free device memory. */
cuMemFree((CUdeviceptr)mem.device_pointer);		cuMemFree(mem.device_pointer);
}		}

stats.mem_free(mem.device_size);		stats.mem_free(mem.device_size);
		mem.device_pointer = 0;
mem.device_size = 0;		mem.device_size = 0;

		cuda_mem_map.erase(cuda_mem_map.find(&mem));
		}
		}

		void tex_free(device_memory &mem)
		{
		if (mem.device_pointer) {
		CUDAContextScope scope(cuda_context);
		const CUDAMem &cmem = cuda_mem_map[&mem];

		if (cmem.texobject) {
		/* Free bindless texture. */
		cuTexObjectDestroy(cmem.texobject);
		}

		if (cmem.array) {
		/* Free array. */
		cuArrayDestroy(cmem.array);
		stats.mem_free(mem.device_size);
mem.device_pointer = 0;		mem.device_pointer = 0;
		mem.device_size = 0;

		cuda_mem_map.erase(cuda_mem_map.find(&mem));
		}
		else {
		generic_free(mem);
		}
		}
		}

		void move_textures_to_host(size_t size, bool for_texture)
		{
		/* Signal to reallocate textures in host memory only. */
		move_texture_to_host = true;

		while (size > 0) {
		/* Find suitable memory allocation to move. */
		device_memory *max_mem = NULL;
		size_t max_size = 0;
		bool max_is_image = false;

		foreach (auto &pair, cuda_mem_map) {
		device_memory &mem = *pair.first;
		CUDAMem *cmem = &pair.second;

		bool is_texture = (mem.type == MEM_TEXTURE) && (&mem != &texture_info);
		bool is_image = is_texture && (mem.data_height > 1);

		/* Can't move this type of memory. */
		if (!is_texture \|\| cmem->array) {
		continue;
		}

		/* Already in host memory. */
		if (cmem->map_host_pointer) {
		continue;
		}

		/* For other textures, only move image textures. */
		if (for_texture && !is_image) {
		continue;
		}

		/* Try to move largest allocation, prefer moving images. */
		if (is_image > max_is_image \|\| (is_image == max_is_image && mem.device_size > max_size)) {
		max_is_image = is_image;
		max_size = mem.device_size;
		max_mem = &mem;
		}
		}

		/* Move to host memory. This part is mutex protected since
		* multiple CUDA devices could be moving the memory. The
		* first one will do it, and the rest will adopt the pointer. */
		if (max_mem) {
		VLOG(1) << "Move memory from device to host: " << max_mem->name;

		static thread_mutex move_mutex;
		thread_scoped_lock lock(move_mutex);

		/* Preserve the original device pointer, in case of multi device
		* we can't change it because the pointer mapping would break. */
		device_ptr prev_pointer = max_mem->device_pointer;
		size_t prev_size = max_mem->device_size;

		tex_free(*max_mem);
		tex_alloc(*max_mem);
		size = (max_size >= size) ? 0 : size - max_size;

		max_mem->device_pointer = prev_pointer;
		max_mem->device_size = prev_size;
		}
		else {
		break;
		}
		}

		/* Update texture info array with new pointers. */
		update_texture_info();

		move_texture_to_host = false;
}		}

void const_copy_to(const char name, void host, size_t size) override		void const_copy_to(const char name, void host, size_t size) override
{		{
if (strcmp(name, "__data") == 0) {		if (strcmp(name, "__data") == 0) {
assert(size <= sizeof(KernelData));		assert(size <= sizeof(KernelData));

// Fix traversable handle on multi devices		// Fix traversable handle on multi devices
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