blender/intern/cycles/kernel/SConscript

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#!/usr/bin/python
import sys
import os
import Blender as B
def normpath(path):
return os.path.abspath(os.path.normpath(path))
Import ('env')
kernel_binaries = []
#Bitness
if B.bitness == 32:
bits = 32
else:
bits = 64
if env['WITH_BF_CYCLES_CUDA_BINARIES']:
kernel = env.Clone()
# cuda info
nvcc = env['BF_CYCLES_CUDA_NVCC']
cuda_archs = env['BF_CYCLES_CUDA_BINARIES_ARCH']
# build directory
root_build_dir = normpath(env['BF_BUILDDIR'])
build_dir = os.path.join(root_build_dir, 'intern/cycles/kernel')
# source directories and files
source_dir = Dir('.').srcnode().path
kernel_file = os.path.join(source_dir, "kernel.cu")
util_dir = os.path.join(source_dir, "../util")
svm_dir = os.path.join(source_dir, "../svm")
# nvcc flags
nvcc_flags = "-m%s" % (bits)
nvcc_flags += " --cubin -use_fast_math --ptxas-options=\"-v\" --maxrregcount=24"
nvcc_flags += " --opencc-options -OPT:Olimit=0"
nvcc_flags += " -DCCL_NAMESPACE_BEGIN= -DCCL_NAMESPACE_END= -DNVCC"
nvcc_flags += " -I \"%s\" -I \"%s\"" % (util_dir, svm_dir)
# dependencies
dependencies = ['kernel.cu'] + kernel.Glob('*.h') + kernel.Glob('../util/*.h') + kernel.Glob('svm/*.h')
last_cubin_file = None
# add command for each cuda architecture
for arch in cuda_archs:
cubin_file = os.path.join(build_dir, "kernel_%s.cubin" % arch)
command = "\"%s\" -arch=%s %s \"%s\" -o \"%s\"" % (nvcc, arch, nvcc_flags, kernel_file, cubin_file)
kernel.Command(cubin_file, 'kernel.cu', command)
kernel.Depends(cubin_file, dependencies)
kernel_binaries.append(cubin_file)
if not env['WITH_BF_CYCLES_CUDA_THREADED_COMPILE']:
# trick to compile one kernel at a time to reduce memory usage
if last_cubin_file:
kernel.Depends(cubin_file, last_cubin_file)
last_cubin_file = cubin_file
Return('kernel_binaries')