blender/intern/cycles/kernel/SConscript

#!/usr/bin/env python
#
# ***** BEGIN GPL LICENSE BLOCK *****
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# The Original Code is Copyright (C) 2011, Blender Foundation
# All rights reserved.
#
# The Original Code is: all of this file.
#
# Contributor(s): Nathan Letwory.
#
# ***** END GPL LICENSE BLOCK *****

import re
import subprocess
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")
    closure_dir = os.path.join(source_dir, "../closure")

    # get CUDA version
    nvcc_pipe = subprocess.Popen([nvcc, "--version"],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
    output, erroroutput = nvcc_pipe.communicate()
    cuda_major_minor = re.findall(r'release (\d+).(\d+)', output)[0]
    cuda_version = int(cuda_major_minor[0])*10 + int(cuda_major_minor[1])

    if cuda_version != 50:
        print("CUDA version %d.%d detected, build may succeed but only CUDA 5.0 is officially supported." % (cuda_version/10, cuda_version%10))

    # nvcc flags
    nvcc_flags = "-m%s" % (bits)
    nvcc_flags += " --cubin --ptxas-options=\"-v\""
    nvcc_flags += " -D__KERNEL_CUDA_VERSION__=%d" % (cuda_version)
    nvcc_flags += " -DCCL_NAMESPACE_BEGIN= -DCCL_NAMESPACE_END= -DNVCC"
    nvcc_flags += " -I \"%s\" -I \"%s\" -I \"%s\"" % (util_dir, svm_dir, closure_dir)

    # dependencies
    dependencies = ['kernel.cu'] + kernel.Glob('*.h') + kernel.Glob('../util/*.h') + kernel.Glob('svm/*.h') + kernel.Glob('closure/*.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)

		# build flags depending on CUDA version and arch
        if cuda_version < 50:
            if arch == "sm_35":
                print("Can't build kernel for CUDA sm_35 architecture, skipping")
                continue

            # CUDA 4.x
            if arch.startswith("sm_1"):
                # sm_1x
                cuda_arch_flags = "--maxrregcount=24 --opencc-options -OPT:Olimit=0"
            elif arch.startswith("sm_2"):
                # sm_2x
                cuda_arch_flags = "--maxrregcount=24"
            else:
                # sm_3x
                cuda_arch_flags = "--maxrregcount=32"
        else:
            # CUDA 5.x
            if arch.startswith("sm_1"):
                # sm_1x
                cuda_arch_flags = "--maxrregcount=24 --opencc-options -OPT:Olimit=0 --use_fast_math"
            elif arch.startswith("sm_2"):
                # sm_2x
                cuda_arch_flags = "--maxrregcount=32 --use_fast_math"
            else:
                # sm_3x
                cuda_arch_flags = "--maxrregcount=32 --use_fast_math"

        command = "\"%s\" -arch=%s %s %s \"%s\" -o \"%s\"" % (nvcc, arch, nvcc_flags, cuda_arch_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')