blender/intern/cycles/util/util_debug.cpp
2018-08-30 17:34:11 +02:00

210 lines
5.7 KiB
C++

/*
* Copyright 2011-2016 Blender Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "util/util_debug.h"
#include <stdlib.h>
#include "bvh/bvh_params.h"
#include "util/util_logging.h"
#include "util/util_string.h"
CCL_NAMESPACE_BEGIN
DebugFlags::CPU::CPU()
: avx2(true),
avx(true),
sse41(true),
sse3(true),
sse2(true),
bvh_layout(BVH_LAYOUT_DEFAULT),
split_kernel(false)
{
reset();
}
void DebugFlags::CPU::reset()
{
#define STRINGIFY(x) #x
#define CHECK_CPU_FLAGS(flag, env) \
do { \
flag = (getenv(env) == NULL); \
if(!flag) { \
VLOG(1) << "Disabling " << STRINGIFY(flag) << " instruction set."; \
} \
} while(0)
CHECK_CPU_FLAGS(avx2, "CYCLES_CPU_NO_AVX2");
CHECK_CPU_FLAGS(avx, "CYCLES_CPU_NO_AVX");
CHECK_CPU_FLAGS(sse41, "CYCLES_CPU_NO_SSE41");
CHECK_CPU_FLAGS(sse3, "CYCLES_CPU_NO_SSE3");
CHECK_CPU_FLAGS(sse2, "CYCLES_CPU_NO_SSE2");
#undef STRINGIFY
#undef CHECK_CPU_FLAGS
if(getenv("CYCLES_BVH2") != NULL) {
bvh_layout = BVH_LAYOUT_BVH2;
}
else if(getenv("CYCLES_BVH4") != NULL) {
bvh_layout = BVH_LAYOUT_BVH4;
}
else if(getenv("CYCLES_BVH8") != NULL) {
bvh_layout = BVH_LAYOUT_BVH8;
}
else {
bvh_layout = BVH_LAYOUT_DEFAULT;
}
split_kernel = false;
}
DebugFlags::CUDA::CUDA()
: adaptive_compile(false),
split_kernel(false)
{
reset();
}
void DebugFlags::CUDA::reset()
{
if(getenv("CYCLES_CUDA_ADAPTIVE_COMPILE") != NULL)
adaptive_compile = true;
split_kernel = false;
}
DebugFlags::OpenCL::OpenCL()
: device_type(DebugFlags::OpenCL::DEVICE_ALL),
kernel_type(DebugFlags::OpenCL::KERNEL_DEFAULT),
debug(false),
single_program(false)
{
reset();
}
void DebugFlags::OpenCL::reset()
{
/* Initialize device type from environment variables. */
device_type = DebugFlags::OpenCL::DEVICE_ALL;
char *device = getenv("CYCLES_OPENCL_TEST");
if(device) {
if(strcmp(device, "NONE") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_NONE;
}
else if(strcmp(device, "ALL") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_ALL;
}
else if(strcmp(device, "DEFAULT") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_DEFAULT;
}
else if(strcmp(device, "CPU") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_CPU;
}
else if(strcmp(device, "GPU") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_GPU;
}
else if(strcmp(device, "ACCELERATOR") == 0) {
device_type = DebugFlags::OpenCL::DEVICE_ACCELERATOR;
}
}
/* Initialize kernel type from environment variables. */
kernel_type = DebugFlags::OpenCL::KERNEL_DEFAULT;
if(getenv("CYCLES_OPENCL_MEGA_KERNEL_TEST") != NULL) {
kernel_type = DebugFlags::OpenCL::KERNEL_MEGA;
}
else if(getenv("CYCLES_OPENCL_SPLIT_KERNEL_TEST") != NULL) {
kernel_type = DebugFlags::OpenCL::KERNEL_SPLIT;
}
/* Initialize other flags from environment variables. */
debug = (getenv("CYCLES_OPENCL_DEBUG") != NULL);
single_program = (getenv("CYCLES_OPENCL_MULTI_PROGRAM") == NULL);
}
DebugFlags::DebugFlags()
: viewport_static_bvh(false)
{
/* Nothing for now. */
}
void DebugFlags::reset()
{
viewport_static_bvh = false;
cpu.reset();
cuda.reset();
opencl.reset();
}
std::ostream& operator <<(std::ostream &os,
DebugFlagsConstRef debug_flags)
{
os << "CPU flags:\n"
<< " AVX2 : " << string_from_bool(debug_flags.cpu.avx2) << "\n"
<< " AVX : " << string_from_bool(debug_flags.cpu.avx) << "\n"
<< " SSE4.1 : " << string_from_bool(debug_flags.cpu.sse41) << "\n"
<< " SSE3 : " << string_from_bool(debug_flags.cpu.sse3) << "\n"
<< " SSE2 : " << string_from_bool(debug_flags.cpu.sse2) << "\n"
<< " BVH layout : " << bvh_layout_name(debug_flags.cpu.bvh_layout) << "\n"
<< " Split : " << string_from_bool(debug_flags.cpu.split_kernel) << "\n";
os << "CUDA flags:\n"
<< " Adaptive Compile: " << string_from_bool(debug_flags.cuda.adaptive_compile) << "\n";
const char *opencl_device_type,
*opencl_kernel_type;
switch(debug_flags.opencl.device_type) {
case DebugFlags::OpenCL::DEVICE_NONE:
opencl_device_type = "NONE";
break;
case DebugFlags::OpenCL::DEVICE_ALL:
opencl_device_type = "ALL";
break;
case DebugFlags::OpenCL::DEVICE_DEFAULT:
opencl_device_type = "DEFAULT";
break;
case DebugFlags::OpenCL::DEVICE_CPU:
opencl_device_type = "CPU";
break;
case DebugFlags::OpenCL::DEVICE_GPU:
opencl_device_type = "GPU";
break;
case DebugFlags::OpenCL::DEVICE_ACCELERATOR:
opencl_device_type = "ACCELERATOR";
break;
}
switch(debug_flags.opencl.kernel_type) {
case DebugFlags::OpenCL::KERNEL_DEFAULT:
opencl_kernel_type = "DEFAULT";
break;
case DebugFlags::OpenCL::KERNEL_MEGA:
opencl_kernel_type = "MEGA";
break;
case DebugFlags::OpenCL::KERNEL_SPLIT:
opencl_kernel_type = "SPLIT";
break;
}
os << "OpenCL flags:\n"
<< " Device type : " << opencl_device_type << "\n"
<< " Kernel type : " << opencl_kernel_type << "\n"
<< " Debug : " << string_from_bool(debug_flags.opencl.debug) << "\n"
<< " Single program : " << string_from_bool(debug_flags.opencl.single_program) << "\n"
<< " Memory limit : " << string_human_readable_size(debug_flags.opencl.mem_limit) << "\n";
return os;
}
CCL_NAMESPACE_END