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Cycles: Remove Fermi support from CMake and update runtime checks in device_cuda.cpp. 

Fermi code in Cycles kernel and texture system are coming next.
This commit is contained in:
Thomas Dinges 2018-02-17 16:15:07 +01:00
parent 75396edb31
commit 2eaf90b305
Notes: blender-bot 2023-02-14 05:50:09 +01:00 
Referenced by issue #55173, gpu render error on smoke and fire 'cuda error: not found in cumodulegettexref'
4 changed files with 17 additions and 25 deletions
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2
CMakeLists.txt
View File

@ -409,7 +409,7 @@ option(WITH_CYCLES_OSL "Build Cycles with OSL support" ${_init_CYCLES_OSL})
option(WITH_CYCLES_OPENSUBDIV "Build Cycles with OpenSubdiv support" ${_init_CYCLES_OPENSUBDIV})
option(WITH_CYCLES_CUDA_BINARIES "Build Cycles CUDA binaries" OFF)
option(WITH_CYCLES_CUBIN_COMPILER "Build cubins with nvrtc based compiler instead of nvcc" OFF)
set(CYCLES_CUDA_BINARIES_ARCH sm_20 sm_21 sm_30 sm_35 sm_37 sm_50 sm_52 sm_60 sm_61 CACHE STRING "CUDA architectures to build binaries for")
set(CYCLES_CUDA_BINARIES_ARCH sm_30 sm_35 sm_37 sm_50 sm_52 sm_60 sm_61 CACHE STRING "CUDA architectures to build binaries for")
mark_as_advanced(CYCLES_CUDA_BINARIES_ARCH)
unset(PLATFORM_DEFAULT)
option(WITH_CYCLES_LOGGING "Build Cycles with logging support" ON)

2
build_files/cmake/config/blender_release.cmake
View File

@ -54,7 +54,7 @@ set(WITH_X11_XF86VMODE ON CACHE BOOL "" FORCE)
set(WITH_PLAYER ON CACHE BOOL "" FORCE)
set(WITH_MEM_JEMALLOC ON CACHE BOOL "" FORCE)
set(WITH_CYCLES_CUDA_BINARIES ON CACHE BOOL "" FORCE)
set(CYCLES_CUDA_BINARIES_ARCH sm_20;sm_21;sm_30;sm_35;sm_37;sm_50;sm_52;sm_60;sm_61 CACHE STRING "" FORCE)
set(CYCLES_CUDA_BINARIES_ARCH sm_30;sm_35;sm_37;sm_50;sm_52;sm_60;sm_61 CACHE STRING "" FORCE)
# platform dependent options
if(UNIX AND NOT APPLE)

14
intern/cycles/device/device_cuda.cpp
View File

@ -322,9 +322,9 @@ public:
cuDeviceGetAttribute(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevId);
cuDeviceGetAttribute(&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevId);
/* We only support sm_20 and above */
if(major < 2) {
cuda_error_message(string_printf("CUDA device supported only with compute capability 2.0 or up, found %d.%d.", major, minor));
/* We only support sm_30 and above */
if(major < 3) {
cuda_error_message(string_printf("CUDA device supported only with compute capability 3.0 or up, found %d.%d.", major, minor));
return false;
}
@ -462,9 +462,9 @@ public:
#ifdef _WIN32
if(have_precompiled_kernels()) {
if(major < 2) {
if(major < 3) {
cuda_error_message(string_printf(
"CUDA device requires compute capability 2.0 or up, "
"CUDA device requires compute capability 3.0 or up, "
"found %d.%d. Your GPU is not supported.",
major, minor));
}
@ -2532,7 +2532,7 @@ void device_cuda_info(vector<DeviceInfo>& devices)
int major;
cuDeviceGetAttribute(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, num);
if(major < 2) {
if(major < 3) {
VLOG(1) << "Ignoring device \"" << name
<< "\", compute capability is too low.";
continue;
@ -2544,7 +2544,7 @@ void device_cuda_info(vector<DeviceInfo>& devices)
info.description = string(name);
info.num = num;
info.advanced_shading = (major >= 2);
info.advanced_shading = (major >= 3);
info.has_fermi_limits = !(major >= 3);
info.has_half_images = (major >= 3);
info.has_volume_decoupled = false;

24
intern/cycles/kernel/CMakeLists.txt
View File

@ -316,12 +316,8 @@ set(SRC_SPLIT_HEADERS
# CUDA module
if(WITH_CYCLES_CUDA_BINARIES)
# 32 bit or 64 bit
if(CUDA_64_BIT_DEVICE_CODE)
set(CUDA_BITS 64)
else()
set(CUDA_BITS 32)
endif()
# 64 bit only
set(CUDA_BITS 64)
# CUDA version
execute_process(COMMAND ${CUDA_NVCC_EXECUTABLE} "--version" OUTPUT_VARIABLE NVCC_OUT)
@ -420,17 +416,13 @@ if(WITH_CYCLES_CUDA_BINARIES)
endmacro()
foreach(arch ${CYCLES_CUDA_BINARIES_ARCH})
if(CUDA_VERSION GREATER "89" AND ${arch} MATCHES "sm_2.")
message(STATUS "CUDA binaries for ${arch} disabled, not supported by CUDA 9.")
else()
# Compile regular kernel
CYCLES_CUDA_KERNEL_ADD(${arch} filter "" "${cuda_filter_sources}" FALSE)
CYCLES_CUDA_KERNEL_ADD(${arch} kernel "" "${cuda_sources}" FALSE)
# Compile regular kernel
CYCLES_CUDA_KERNEL_ADD(${arch} filter "" "${cuda_filter_sources}" FALSE)
CYCLES_CUDA_KERNEL_ADD(${arch} kernel "" "${cuda_sources}" FALSE)
if(WITH_CYCLES_CUDA_SPLIT_KERNEL_BINARIES)
# Compile split kernel
CYCLES_CUDA_KERNEL_ADD(${arch} kernel_split "-D __SPLIT__" ${cuda_sources} FALSE)
endif()
if(WITH_CYCLES_CUDA_SPLIT_KERNEL_BINARIES)
# Compile split kernel
CYCLES_CUDA_KERNEL_ADD(${arch} kernel_split "-D __SPLIT__" ${cuda_sources} FALSE)
endif()
endforeach()