blender/intern/cycles/device/device_cpu.cpp
Sergey Sharybin 6eec49ed20 Cycles: memory usage report
This commit adds memory usage information while rendering.

It reports memory used by device, meaning:

- For CPU it'll report real memory consumption
- For GPU rendering it'll report GPU memory consumption, but it'll
  also mean the same memory is used from host side.

This information displays information about memory requested by Cycles,
not memory really allocated on a device. Real memory usage might be
higher because of memory fragmentation or optimistic memory allocator.

There's really nothing we can do against this.

Also in contrast with blender internal's render cycles memory usage
does not include memory used by scene, only memory needed by cycles
itself will be displayed. So don't freak out if memory usage reported
by cycles would be much lower than blender internal's.

This commit also adds RenderEngine.update_memory_stats callback which
is used to tell memory consumption from external engine to blender.
This information is used to generate information line after rendering
is finished.
2012-11-05 08:04:57 +00:00

315 lines
6.9 KiB
C++

/*
* Copyright 2011, Blender Foundation.
*
* 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.
*/
#include <stdlib.h>
#include <string.h>
#include "device.h"
#include "device_intern.h"
#include "kernel.h"
#include "kernel_types.h"
#include "osl_shader.h"
#include "buffers.h"
#include "util_debug.h"
#include "util_foreach.h"
#include "util_function.h"
#include "util_opengl.h"
#include "util_progress.h"
#include "util_system.h"
#include "util_thread.h"
CCL_NAMESPACE_BEGIN
class CPUDevice : public Device
{
public:
TaskPool task_pool;
KernelGlobals *kg;
CPUDevice(Stats &stats, int threads_num) : Device(stats)
{
kg = kernel_globals_create();
/* do now to avoid thread issues */
system_cpu_support_optimized();
}
~CPUDevice()
{
task_pool.stop();
kernel_globals_free(kg);
}
bool support_advanced_shading()
{
return true;
}
void mem_alloc(device_memory& mem, MemoryType type)
{
mem.device_pointer = mem.data_pointer;
stats.mem_alloc(mem.memory_size());
}
void mem_copy_to(device_memory& mem)
{
/* no-op */
}
void mem_copy_from(device_memory& mem, int y, int w, int h, int elem)
{
/* no-op */
}
void mem_zero(device_memory& mem)
{
memset((void*)mem.device_pointer, 0, mem.memory_size());
}
void mem_free(device_memory& mem)
{
mem.device_pointer = 0;
stats.mem_free(mem.memory_size());
}
void const_copy_to(const char *name, void *host, size_t size)
{
kernel_const_copy(kg, name, host, size);
}
void tex_alloc(const char *name, device_memory& mem, bool interpolation, bool periodic)
{
kernel_tex_copy(kg, name, mem.data_pointer, mem.data_width, mem.data_height);
mem.device_pointer = mem.data_pointer;
stats.mem_alloc(mem.memory_size());
}
void tex_free(device_memory& mem)
{
mem.device_pointer = 0;
stats.mem_free(mem.memory_size());
}
void *osl_memory()
{
#ifdef WITH_OSL
return kernel_osl_memory(kg);
#else
return NULL;
#endif
}
void thread_run(DeviceTask *task)
{
if(task->type == DeviceTask::PATH_TRACE)
thread_path_trace(*task);
else if(task->type == DeviceTask::TONEMAP)
thread_tonemap(*task);
else if(task->type == DeviceTask::SHADER)
thread_shader(*task);
}
class CPUDeviceTask : public DeviceTask {
public:
CPUDeviceTask(CPUDevice *device, DeviceTask& task)
: DeviceTask(task)
{
run = function_bind(&CPUDevice::thread_run, device, this);
}
};
void thread_path_trace(DeviceTask& task)
{
if(task_pool.cancelled()) {
if(task.need_finish_queue == false)
return;
}
#ifdef WITH_OSL
if(kernel_osl_use(kg))
OSLShader::thread_init(kg);
#endif
RenderTile tile;
while(task.acquire_tile(this, tile)) {
float *render_buffer = (float*)tile.buffer;
uint *rng_state = (uint*)tile.rng_state;
int start_sample = tile.start_sample;
int end_sample = tile.start_sample + tile.num_samples;
#ifdef WITH_OPTIMIZED_KERNEL
if(system_cpu_support_optimized()) {
for(int sample = start_sample; sample < end_sample; sample++) {
if (task.get_cancel() || task_pool.cancelled()) {
if(task.need_finish_queue == false)
break;
}
for(int y = tile.y; y < tile.y + tile.h; y++) {
for(int x = tile.x; x < tile.x + tile.w; x++) {
kernel_cpu_optimized_path_trace(kg, render_buffer, rng_state,
sample, x, y, tile.offset, tile.stride);
}
}
tile.sample = sample + 1;
task.update_progress(tile);
}
}
else
#endif
{
for(int sample = start_sample; sample < end_sample; sample++) {
if (task.get_cancel() || task_pool.cancelled()) {
if(task.need_finish_queue == false)
break;
}
for(int y = tile.y; y < tile.y + tile.h; y++) {
for(int x = tile.x; x < tile.x + tile.w; x++) {
kernel_cpu_path_trace(kg, render_buffer, rng_state,
sample, x, y, tile.offset, tile.stride);
}
}
tile.sample = sample + 1;
task.update_progress(tile);
}
}
task.release_tile(tile);
if(task_pool.cancelled()) {
if(task.need_finish_queue == false)
break;
}
}
#ifdef WITH_OSL
if(kernel_osl_use(kg))
OSLShader::thread_free(kg);
#endif
}
void thread_tonemap(DeviceTask& task)
{
#ifdef WITH_OPTIMIZED_KERNEL
if(system_cpu_support_optimized()) {
for(int y = task.y; y < task.y + task.h; y++)
for(int x = task.x; x < task.x + task.w; x++)
kernel_cpu_optimized_tonemap(kg, (uchar4*)task.rgba, (float*)task.buffer,
task.sample, task.resolution, x, y, task.offset, task.stride);
}
else
#endif
{
for(int y = task.y; y < task.y + task.h; y++)
for(int x = task.x; x < task.x + task.w; x++)
kernel_cpu_tonemap(kg, (uchar4*)task.rgba, (float*)task.buffer,
task.sample, task.resolution, x, y, task.offset, task.stride);
}
}
void thread_shader(DeviceTask& task)
{
#ifdef WITH_OSL
if(kernel_osl_use(kg))
OSLShader::thread_init(kg);
#endif
#ifdef WITH_OPTIMIZED_KERNEL
if(system_cpu_support_optimized()) {
for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++) {
kernel_cpu_optimized_shader(kg, (uint4*)task.shader_input, (float4*)task.shader_output, task.shader_eval_type, x);
if(task_pool.cancelled())
break;
}
}
else
#endif
{
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);
if(task_pool.cancelled())
break;
}
}
#ifdef WITH_OSL
if(kernel_osl_use(kg))
OSLShader::thread_free(kg);
#endif
}
void task_add(DeviceTask& task)
{
/* split task into smaller ones, more than number of threads for uneven
* workloads where some parts of the image render slower than others */
list<DeviceTask> tasks;
task.split(tasks, TaskScheduler::num_threads()+1);
foreach(DeviceTask& task, tasks)
task_pool.push(new CPUDeviceTask(this, task));
}
void task_wait()
{
task_pool.wait_work();
}
void task_cancel()
{
task_pool.cancel();
}
};
Device *device_cpu_create(DeviceInfo& info, Stats &stats, int threads)
{
return new CPUDevice(stats, threads);
}
void device_cpu_info(vector<DeviceInfo>& devices)
{
DeviceInfo info;
info.type = DEVICE_CPU;
info.description = system_cpu_brand_string();
info.id = "CPU";
info.num = 0;
info.advanced_shading = true;
info.pack_images = false;
devices.insert(devices.begin(), info);
}
CCL_NAMESPACE_END