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Diffstat (limited to 'intern/cycles/device')
-rw-r--r--intern/cycles/device/CMakeLists.txt2
-rw-r--r--intern/cycles/device/device.cpp17
-rw-r--r--intern/cycles/device/device_cpu.cpp18
-rw-r--r--intern/cycles/device/device_cuda.cpp131
-rw-r--r--intern/cycles/device/device_intern.h2
-rw-r--r--intern/cycles/device/device_multi.cpp13
-rw-r--r--intern/cycles/device/device_opencl.cpp86
7 files changed, 120 insertions, 149 deletions
diff --git a/intern/cycles/device/CMakeLists.txt b/intern/cycles/device/CMakeLists.txt
index 318e4467e00..998b35351e3 100644
--- a/intern/cycles/device/CMakeLists.txt
+++ b/intern/cycles/device/CMakeLists.txt
@@ -11,6 +11,8 @@ set(INC
set(INC_SYS
${GLEW_INCLUDE_PATH}
+ ../../../extern/cuew/include
+ ../../../extern/clew/include
)
set(SRC
diff --git a/intern/cycles/device/device.cpp b/intern/cycles/device/device.cpp
index fa1f0acadde..efdfa98cfb5 100644
--- a/intern/cycles/device/device.cpp
+++ b/intern/cycles/device/device.cpp
@@ -20,12 +20,13 @@
#include "device.h"
#include "device_intern.h"
-#include "util_cuda.h"
+#include "cuew.h"
+#include "clew.h"
+
#include "util_debug.h"
#include "util_foreach.h"
#include "util_half.h"
#include "util_math.h"
-#include "util_opencl.h"
#include "util_opengl.h"
#include "util_time.h"
#include "util_types.h"
@@ -141,7 +142,7 @@ Device *Device::create(DeviceInfo& info, Stats &stats, bool background)
break;
#ifdef WITH_CUDA
case DEVICE_CUDA:
- if(cuLibraryInit())
+ if(device_cuda_init())
device = device_cuda_create(info, stats, background);
else
device = NULL;
@@ -159,7 +160,7 @@ Device *Device::create(DeviceInfo& info, Stats &stats, bool background)
#endif
#ifdef WITH_OPENCL
case DEVICE_OPENCL:
- if(clLibraryInit())
+ if(device_opencl_init())
device = device_opencl_create(info, stats, background);
else
device = NULL;
@@ -213,12 +214,12 @@ vector<DeviceType>& Device::available_types()
types.push_back(DEVICE_CPU);
#ifdef WITH_CUDA
- if(cuLibraryInit())
+ if(device_cuda_init())
types.push_back(DEVICE_CUDA);
#endif
#ifdef WITH_OPENCL
- if(clLibraryInit())
+ if(device_opencl_init())
types.push_back(DEVICE_OPENCL);
#endif
@@ -242,12 +243,12 @@ vector<DeviceInfo>& Device::available_devices()
if(!devices_init) {
#ifdef WITH_CUDA
- if(cuLibraryInit())
+ if(device_cuda_init())
device_cuda_info(devices);
#endif
#ifdef WITH_OPENCL
- if(clLibraryInit())
+ if(device_opencl_init())
device_opencl_info(devices);
#endif
diff --git a/intern/cycles/device/device_cpu.cpp b/intern/cycles/device/device_cpu.cpp
index 4fdeef6bdcb..fd5ae1d7828 100644
--- a/intern/cycles/device/device_cpu.cpp
+++ b/intern/cycles/device/device_cpu.cpp
@@ -435,7 +435,8 @@ public:
if(system_cpu_support_avx2()) {
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_avx2_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_avx2_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
@@ -449,7 +450,8 @@ public:
if(system_cpu_support_avx()) {
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_avx_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_avx_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
@@ -463,7 +465,8 @@ public:
if(system_cpu_support_sse41()) {
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_sse41_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_sse41_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
@@ -477,7 +480,8 @@ public:
if(system_cpu_support_sse3()) {
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_sse3_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_sse3_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
@@ -491,7 +495,8 @@ public:
if(system_cpu_support_sse2()) {
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_sse2_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_sse2_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
@@ -504,7 +509,8 @@ public:
{
for(int sample = 0; sample < task.num_samples; sample++) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++)
- kernel_cpu_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x, sample);
+ kernel_cpu_shader(&kg, (uint4*)task.shader_input, (float4*)task.shader_output,
+ task.shader_eval_type, x, task.offset, sample);
if(task.get_cancel() || task_pool.canceled())
break;
diff --git a/intern/cycles/device/device_cuda.cpp b/intern/cycles/device/device_cuda.cpp
index f0f32f87eed..1ed26717f4b 100644
--- a/intern/cycles/device/device_cuda.cpp
+++ b/intern/cycles/device/device_cuda.cpp
@@ -23,7 +23,7 @@
#include "buffers.h"
-#include "util_cuda.h"
+#include "cuew.h"
#include "util_debug.h"
#include "util_map.h"
#include "util_opengl.h"
@@ -61,65 +61,10 @@ public:
return (CUdeviceptr)mem;
}
- static const char *cuda_error_string(CUresult result)
+ static bool have_precompiled_kernels()
{
- switch(result) {
- case CUDA_SUCCESS: return "No errors";
- case CUDA_ERROR_INVALID_VALUE: return "Invalid value";
- case CUDA_ERROR_OUT_OF_MEMORY: return "Out of memory";
- case CUDA_ERROR_NOT_INITIALIZED: return "Driver not initialized";
- case CUDA_ERROR_DEINITIALIZED: return "Driver deinitialized";
-
- case CUDA_ERROR_NO_DEVICE: return "No CUDA-capable device available";
- case CUDA_ERROR_INVALID_DEVICE: return "Invalid device";
-
- case CUDA_ERROR_INVALID_IMAGE: return "Invalid kernel image";
- case CUDA_ERROR_INVALID_CONTEXT: return "Invalid context";
- case CUDA_ERROR_MAP_FAILED: return "Map failed";
- case CUDA_ERROR_UNMAP_FAILED: return "Unmap failed";
- case CUDA_ERROR_ARRAY_IS_MAPPED: return "Array is mapped";
- case CUDA_ERROR_ALREADY_MAPPED: return "Already mapped";
- case CUDA_ERROR_NO_BINARY_FOR_GPU: return "No binary for GPU";
- case CUDA_ERROR_ALREADY_ACQUIRED: return "Already acquired";
- case CUDA_ERROR_NOT_MAPPED: return "Not mapped";
- case CUDA_ERROR_NOT_MAPPED_AS_ARRAY: return "Mapped resource not available for access as an array";
- case CUDA_ERROR_NOT_MAPPED_AS_POINTER: return "Mapped resource not available for access as a pointer";
- case CUDA_ERROR_ECC_UNCORRECTABLE: return "Uncorrectable ECC error detected";
- case CUDA_ERROR_UNSUPPORTED_LIMIT: return "CUlimit not supported by device";
- case CUDA_ERROR_CONTEXT_ALREADY_IN_USE: return "Context already in use";
- case CUDA_ERROR_PEER_ACCESS_UNSUPPORTED: return "Peer access unsupported";
- case CUDA_ERROR_INVALID_PTX: return "Invalid PTX code";
-
- case CUDA_ERROR_INVALID_SOURCE: return "Invalid source";
- case CUDA_ERROR_FILE_NOT_FOUND: return "File not found";
- case CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND: return "Link to a shared object failed to resolve";
- case CUDA_ERROR_SHARED_OBJECT_INIT_FAILED: return "Shared object initialization failed";
- case CUDA_ERROR_OPERATING_SYSTEM: return "OS call failed";
-
- case CUDA_ERROR_INVALID_HANDLE: return "Invalid handle";
-
- case CUDA_ERROR_NOT_FOUND: return "Not found";
-
- case CUDA_ERROR_NOT_READY: return "CUDA not ready";
-
- case CUDA_ERROR_ILLEGAL_ADDRESS: return "Illegal address";
- case CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES: return "Launch exceeded resources";
- case CUDA_ERROR_LAUNCH_TIMEOUT: return "Launch exceeded time out";
- case CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING: return "Launch with incompatible texturing";
- case CUDA_ERROR_HARDWARE_STACK_ERROR: return "Stack error";
- case CUDA_ERROR_ILLEGAL_INSTRUCTION: return "Illegal instruction";
- case CUDA_ERROR_MISALIGNED_ADDRESS: return "Misaligned address";
- case CUDA_ERROR_INVALID_ADDRESS_SPACE: return "Invalid address space";
- case CUDA_ERROR_INVALID_PC: return "Invalid program counter";
- case CUDA_ERROR_LAUNCH_FAILED: return "Launch failed";
-
- case CUDA_ERROR_NOT_PERMITTED: return "Operation not permitted";
- case CUDA_ERROR_NOT_SUPPORTED: return "Operation not supported";
-
- case CUDA_ERROR_UNKNOWN: return "Unknown error";
-
- default: return "Unknown CUDA error value";
- }
+ string cubins_path = path_get("lib");
+ return path_exists(cubins_path);
}
/*#ifdef NDEBUG
@@ -141,7 +86,7 @@ public:
CUresult result = stmt; \
\
if(result != CUDA_SUCCESS) { \
- string message = string_printf("CUDA error: %s in %s", cuda_error_string(result), #stmt); \
+ string message = string_printf("CUDA error: %s in %s", cuewErrorString(result), #stmt); \
if(error_msg == "") \
error_msg = message; \
fprintf(stderr, "%s\n", message.c_str()); \
@@ -155,7 +100,7 @@ public:
if(result == CUDA_SUCCESS)
return false;
- string message = string_printf("CUDA error at %s: %s", stmt.c_str(), cuda_error_string(result));
+ string message = string_printf("CUDA error at %s: %s", stmt.c_str(), cuewErrorString(result));
if(error_msg == "")
error_msg = message;
fprintf(stderr, "%s\n", message.c_str());
@@ -252,14 +197,18 @@ public:
return true;
}
- string compile_kernel()
+ string compile_kernel(bool experimental)
{
/* compute cubin name */
int major, minor;
cuDeviceComputeCapability(&major, &minor, cuDevId);
/* attempt to use kernel provided with blender */
- string cubin = path_get(string_printf("lib/kernel_sm_%d%d.cubin", major, minor));
+ string cubin;
+ if(experimental)
+ cubin = path_get(string_printf("lib/kernel_experimental_sm_%d%d.cubin", major, minor));
+ else
+ cubin = path_get(string_printf("lib/kernel_sm_%d%d.cubin", major, minor));
if(path_exists(cubin))
return cubin;
@@ -267,7 +216,10 @@ public:
string kernel_path = path_get("kernel");
string md5 = path_files_md5_hash(kernel_path);
- cubin = string_printf("cycles_kernel_sm%d%d_%s.cubin", major, minor, md5.c_str());
+ if(experimental)
+ cubin = string_printf("cycles_kernel_experimental_sm%d%d_%s.cubin", major, minor, md5.c_str());
+ else
+ cubin = string_printf("cycles_kernel_sm%d%d_%s.cubin", major, minor, md5.c_str());
cubin = path_user_get(path_join("cache", cubin));
/* if exists already, use it */
@@ -275,7 +227,7 @@ public:
return cubin;
#ifdef _WIN32
- if(cuHavePrecompiledKernels()) {
+ if(have_precompiled_kernels()) {
if(major < 2)
cuda_error_message(string_printf("CUDA device requires compute capability 2.0 or up, found %d.%d. Your GPU is not supported.", major, minor));
else
@@ -285,25 +237,25 @@ public:
#endif
/* if not, find CUDA compiler */
- string nvcc = cuCompilerPath();
+ const char *nvcc = cuewCompilerPath();
- if(nvcc == "") {
+ if(nvcc == NULL) {
cuda_error_message("CUDA nvcc compiler not found. Install CUDA toolkit in default location.");
return "";
}
- int cuda_version = cuCompilerVersion();
+ int cuda_version = cuewCompilerVersion();
if(cuda_version == 0) {
cuda_error_message("CUDA nvcc compiler version could not be parsed.");
return "";
}
- if(cuda_version < 50) {
- printf("Unsupported CUDA version %d.%d detected, you need CUDA 6.0.\n", cuda_version/10, cuda_version%10);
+ if(cuda_version < 60) {
+ printf("Unsupported CUDA version %d.%d detected, you need CUDA 6.5.\n", cuda_version/10, cuda_version%10);
return "";
}
- else if(cuda_version != 60)
- printf("CUDA version %d.%d detected, build may succeed but only CUDA 6.0 is officially supported.\n", cuda_version/10, cuda_version%10);
+ else if(cuda_version != 65)
+ printf("CUDA version %d.%d detected, build may succeed but only CUDA 6.5 is officially supported.\n", cuda_version/10, cuda_version%10);
/* compile */
string kernel = path_join(kernel_path, "kernel.cu");
@@ -317,7 +269,10 @@ public:
string command = string_printf("\"%s\" -arch=sm_%d%d -m%d --cubin \"%s\" "
"-o \"%s\" --ptxas-options=\"-v\" -I\"%s\" -DNVCC -D__KERNEL_CUDA_VERSION__=%d",
- nvcc.c_str(), major, minor, machine, kernel.c_str(), cubin.c_str(), include.c_str(), cuda_version);
+ nvcc, major, minor, machine, kernel.c_str(), cubin.c_str(), include.c_str(), cuda_version);
+
+ if(experimental)
+ command += " -D__KERNEL_CUDA_EXPERIMENTAL__";
printf("%s\n", command.c_str());
@@ -348,7 +303,7 @@ public:
return false;
/* get kernel */
- string cubin = compile_kernel();
+ string cubin = compile_kernel(experimental);
if(cubin == "")
return false;
@@ -731,6 +686,7 @@ public:
const int shader_chunk_size = 65536;
const int start = task.shader_x;
const int end = task.shader_x + task.shader_w;
+ int offset = task.offset;
bool canceled = false;
for(int sample = 0; sample < task.num_samples && !canceled; sample++) {
@@ -743,6 +699,7 @@ public:
&task.shader_eval_type,
&shader_x,
&shader_w,
+ &offset,
&sample};
/* launch kernel */
@@ -1050,6 +1007,28 @@ public:
}
};
+bool device_cuda_init(void)
+{
+ static bool initialized = false;
+ static bool result = false;
+
+ if (initialized)
+ return result;
+
+ initialized = true;
+
+ if (cuewInit() == CUEW_SUCCESS) {
+ if(CUDADevice::have_precompiled_kernels())
+ result = true;
+#ifndef _WIN32
+ else if(cuewCompilerPath() != NULL)
+ result = true;
+#endif
+ }
+
+ return result;
+}
+
Device *device_cuda_create(DeviceInfo& info, Stats &stats, bool background)
{
return new CUDADevice(info, stats, background);
@@ -1063,13 +1042,13 @@ void device_cuda_info(vector<DeviceInfo>& devices)
result = cuInit(0);
if(result != CUDA_SUCCESS) {
if(result != CUDA_ERROR_NO_DEVICE)
- fprintf(stderr, "CUDA cuInit: %s\n", CUDADevice::cuda_error_string(result));
+ fprintf(stderr, "CUDA cuInit: %s\n", cuewErrorString(result));
return;
}
result = cuDeviceGetCount(&count);
if(result != CUDA_SUCCESS) {
- fprintf(stderr, "CUDA cuDeviceGetCount: %s\n", CUDADevice::cuda_error_string(result));
+ fprintf(stderr, "CUDA cuDeviceGetCount: %s\n", cuewErrorString(result));
return;
}
diff --git a/intern/cycles/device/device_intern.h b/intern/cycles/device/device_intern.h
index 7eb66c25a81..80f1e2441a5 100644
--- a/intern/cycles/device/device_intern.h
+++ b/intern/cycles/device/device_intern.h
@@ -22,7 +22,9 @@ CCL_NAMESPACE_BEGIN
class Device;
Device *device_cpu_create(DeviceInfo& info, Stats &stats, bool background);
+bool device_opencl_init(void);
Device *device_opencl_create(DeviceInfo& info, Stats &stats, bool background);
+bool device_cuda_init(void);
Device *device_cuda_create(DeviceInfo& info, Stats &stats, bool background);
Device *device_network_create(DeviceInfo& info, Stats &stats, const char *address);
Device *device_multi_create(DeviceInfo& info, Stats &stats, bool background);
diff --git a/intern/cycles/device/device_multi.cpp b/intern/cycles/device/device_multi.cpp
index 564fbdbadf8..7f055c79491 100644
--- a/intern/cycles/device/device_multi.cpp
+++ b/intern/cycles/device/device_multi.cpp
@@ -280,7 +280,18 @@ public:
int get_split_task_count(DeviceTask& task)
{
- return 1;
+ int total_tasks = 0;
+ list<DeviceTask> tasks;
+ task.split(tasks, devices.size());
+ foreach(SubDevice& sub, devices) {
+ if(!tasks.empty()) {
+ DeviceTask subtask = tasks.front();
+ tasks.pop_front();
+
+ total_tasks += sub.device->get_split_task_count(subtask);
+ }
+ }
+ return total_tasks;
}
void task_add(DeviceTask& task)
diff --git a/intern/cycles/device/device_opencl.cpp b/intern/cycles/device/device_opencl.cpp
index 3abda6a54c1..82419cd62b1 100644
--- a/intern/cycles/device/device_opencl.cpp
+++ b/intern/cycles/device/device_opencl.cpp
@@ -25,11 +25,12 @@
#include "buffers.h"
+#include "clew.h"
+
#include "util_foreach.h"
#include "util_map.h"
#include "util_math.h"
#include "util_md5.h"
-#include "util_opencl.h"
#include "util_opengl.h"
#include "util_path.h"
#include "util_time.h"
@@ -334,63 +335,10 @@ public:
bool device_initialized;
string platform_name;
- const char *opencl_error_string(cl_int err)
- {
- switch (err) {
- case CL_SUCCESS: return "Success!";
- case CL_DEVICE_NOT_FOUND: return "Device not found.";
- case CL_DEVICE_NOT_AVAILABLE: return "Device not available";
- case CL_COMPILER_NOT_AVAILABLE: return "Compiler not available";
- case CL_MEM_OBJECT_ALLOCATION_FAILURE: return "Memory object allocation failure";
- case CL_OUT_OF_RESOURCES: return "Out of resources";
- case CL_OUT_OF_HOST_MEMORY: return "Out of host memory";
- case CL_PROFILING_INFO_NOT_AVAILABLE: return "Profiling information not available";
- case CL_MEM_COPY_OVERLAP: return "Memory copy overlap";
- case CL_IMAGE_FORMAT_MISMATCH: return "Image format mismatch";
- case CL_IMAGE_FORMAT_NOT_SUPPORTED: return "Image format not supported";
- case CL_BUILD_PROGRAM_FAILURE: return "Program build failure";
- case CL_MAP_FAILURE: return "Map failure";
- case CL_INVALID_VALUE: return "Invalid value";
- case CL_INVALID_DEVICE_TYPE: return "Invalid device type";
- case CL_INVALID_PLATFORM: return "Invalid platform";
- case CL_INVALID_DEVICE: return "Invalid device";
- case CL_INVALID_CONTEXT: return "Invalid context";
- case CL_INVALID_QUEUE_PROPERTIES: return "Invalid queue properties";
- case CL_INVALID_COMMAND_QUEUE: return "Invalid command queue";
- case CL_INVALID_HOST_PTR: return "Invalid host pointer";
- case CL_INVALID_MEM_OBJECT: return "Invalid memory object";
- case CL_INVALID_IMAGE_FORMAT_DESCRIPTOR: return "Invalid image format descriptor";
- case CL_INVALID_IMAGE_SIZE: return "Invalid image size";
- case CL_INVALID_SAMPLER: return "Invalid sampler";
- case CL_INVALID_BINARY: return "Invalid binary";
- case CL_INVALID_BUILD_OPTIONS: return "Invalid build options";
- case CL_INVALID_PROGRAM: return "Invalid program";
- case CL_INVALID_PROGRAM_EXECUTABLE: return "Invalid program executable";
- case CL_INVALID_KERNEL_NAME: return "Invalid kernel name";
- case CL_INVALID_KERNEL_DEFINITION: return "Invalid kernel definition";
- case CL_INVALID_KERNEL: return "Invalid kernel";
- case CL_INVALID_ARG_INDEX: return "Invalid argument index";
- case CL_INVALID_ARG_VALUE: return "Invalid argument value";
- case CL_INVALID_ARG_SIZE: return "Invalid argument size";
- case CL_INVALID_KERNEL_ARGS: return "Invalid kernel arguments";
- case CL_INVALID_WORK_DIMENSION: return "Invalid work dimension";
- case CL_INVALID_WORK_GROUP_SIZE: return "Invalid work group size";
- case CL_INVALID_WORK_ITEM_SIZE: return "Invalid work item size";
- case CL_INVALID_GLOBAL_OFFSET: return "Invalid global offset";
- case CL_INVALID_EVENT_WAIT_LIST: return "Invalid event wait list";
- case CL_INVALID_EVENT: return "Invalid event";
- case CL_INVALID_OPERATION: return "Invalid operation";
- case CL_INVALID_GL_OBJECT: return "Invalid OpenGL object";
- case CL_INVALID_BUFFER_SIZE: return "Invalid buffer size";
- case CL_INVALID_MIP_LEVEL: return "Invalid mip-map level";
- default: return "Unknown";
- }
- }
-
bool opencl_error(cl_int err)
{
if(err != CL_SUCCESS) {
- string message = string_printf("OpenCL error (%d): %s", err, opencl_error_string(err));
+ string message = string_printf("OpenCL error (%d): %s", err, clewErrorString(err));
if(error_msg == "")
error_msg = message;
fprintf(stderr, "%s\n", message.c_str());
@@ -412,7 +360,7 @@ public:
cl_int err = stmt; \
\
if(err != CL_SUCCESS) { \
- string message = string_printf("OpenCL error: %s in %s", opencl_error_string(err), #stmt); \
+ string message = string_printf("OpenCL error: %s in %s", clewErrorString(err), #stmt); \
if(error_msg == "") \
error_msg = message; \
fprintf(stderr, "%s\n", message.c_str()); \
@@ -422,7 +370,7 @@ public:
void opencl_assert_err(cl_int err, const char* where)
{
if(err != CL_SUCCESS) {
- string message = string_printf("OpenCL error (%d): %s in %s", err, opencl_error_string(err), where);
+ string message = string_printf("OpenCL error (%d): %s in %s", err, clewErrorString(err), where);
if(error_msg == "")
error_msg = message;
fprintf(stderr, "%s\n", message.c_str());
@@ -552,7 +500,7 @@ public:
device_initialized = true;
}
- static void context_notify_callback(const char *err_info,
+ static void CL_CALLBACK context_notify_callback(const char *err_info,
const void *private_info, size_t cb, void *user_data)
{
char name[256];
@@ -1056,6 +1004,7 @@ public:
cl_int d_shader_eval_type = task.shader_eval_type;
cl_int d_shader_x = task.shader_x;
cl_int d_shader_w = task.shader_w;
+ cl_int d_offset = task.offset;
/* sample arguments */
cl_uint narg = 0;
@@ -1085,6 +1034,7 @@ public:
opencl_assert(clSetKernelArg(kernel, narg++, sizeof(d_shader_eval_type), (void*)&d_shader_eval_type));
opencl_assert(clSetKernelArg(kernel, narg++, sizeof(d_shader_x), (void*)&d_shader_x));
opencl_assert(clSetKernelArg(kernel, narg++, sizeof(d_shader_w), (void*)&d_shader_w));
+ opencl_assert(clSetKernelArg(kernel, narg++, sizeof(d_offset), (void*)&d_offset));
opencl_assert(clSetKernelArg(kernel, narg++, sizeof(d_sample), (void*)&d_sample));
enqueue_kernel(kernel, task.shader_w, 1);
@@ -1162,6 +1112,26 @@ Device *device_opencl_create(DeviceInfo& info, Stats &stats, bool background)
return new OpenCLDevice(info, stats, background);
}
+bool device_opencl_init(void) {
+ static bool initialized = false;
+ static bool result = false;
+
+ if (initialized)
+ return result;
+
+ initialized = true;
+
+ // OpenCL disabled for now, only works with this environment variable set
+ if(!getenv("CYCLES_OPENCL_TEST")) {
+ result = false;
+ }
+ else {
+ result = clewInit() == CLEW_SUCCESS;
+ }
+
+ return result;
+}
+
void device_opencl_info(vector<DeviceInfo>& devices)
{
vector<cl_device_id> device_ids;