forked from bartvdbraak/blender
6eec49ed20
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.
235 lines
5.0 KiB
C++
235 lines
5.0 KiB
C++
/*
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* Copyright 2011, Blender Foundation.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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#include <stdlib.h>
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#include <string.h>
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#include "device.h"
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#include "device_intern.h"
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#include "util_cuda.h"
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#include "util_debug.h"
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#include "util_foreach.h"
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#include "util_math.h"
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#include "util_opencl.h"
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#include "util_opengl.h"
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#include "util_time.h"
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#include "util_types.h"
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#include "util_vector.h"
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CCL_NAMESPACE_BEGIN
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/* Device */
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void Device::pixels_alloc(device_memory& mem)
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{
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mem_alloc(mem, MEM_READ_WRITE);
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}
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void Device::pixels_copy_from(device_memory& mem, int y, int w, int h)
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{
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mem_copy_from(mem, y, w, h, sizeof(uint8_t)*4);
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}
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void Device::pixels_free(device_memory& mem)
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{
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mem_free(mem);
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}
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void Device::draw_pixels(device_memory& rgba, int y, int w, int h, int dy, int width, int height, bool transparent)
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{
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pixels_copy_from(rgba, y, w, h);
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if(transparent) {
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glEnable(GL_BLEND);
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glBlendFunc(GL_ONE, GL_ONE_MINUS_SRC_ALPHA);
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}
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glPixelZoom((float)width/(float)w, (float)height/(float)h);
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glRasterPos2f(0, dy);
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uint8_t *pixels = (uint8_t*)rgba.data_pointer;
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/* for multi devices, this assumes the ineffecient method that we allocate
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* all pixels on the device even though we only render to a subset */
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pixels += 4*y*w;
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glDrawPixels(w, h, GL_RGBA, GL_UNSIGNED_BYTE, pixels);
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glRasterPos2f(0.0f, 0.0f);
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glPixelZoom(1.0f, 1.0f);
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if(transparent)
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glDisable(GL_BLEND);
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}
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Device *Device::create(DeviceInfo& info, Stats &stats, bool background, int threads)
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{
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Device *device;
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switch(info.type) {
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case DEVICE_CPU:
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device = device_cpu_create(info, stats, threads);
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break;
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#ifdef WITH_CUDA
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case DEVICE_CUDA:
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if(cuLibraryInit())
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device = device_cuda_create(info, stats, background);
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else
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device = NULL;
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break;
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#endif
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#ifdef WITH_MULTI
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case DEVICE_MULTI:
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device = device_multi_create(info, stats, background);
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break;
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#endif
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#ifdef WITH_NETWORK
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case DEVICE_NETWORK:
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device = device_network_create(info, stats, "127.0.0.1");
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break;
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#endif
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#ifdef WITH_OPENCL
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case DEVICE_OPENCL:
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if(clLibraryInit())
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device = device_opencl_create(info, stats, background);
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else
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device = NULL;
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break;
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#endif
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default:
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return NULL;
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}
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if(device)
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device->info = info;
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return device;
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}
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DeviceType Device::type_from_string(const char *name)
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{
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if(strcmp(name, "cpu") == 0)
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return DEVICE_CPU;
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else if(strcmp(name, "cuda") == 0)
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return DEVICE_CUDA;
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else if(strcmp(name, "opencl") == 0)
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return DEVICE_OPENCL;
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else if(strcmp(name, "network") == 0)
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return DEVICE_NETWORK;
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else if(strcmp(name, "multi") == 0)
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return DEVICE_MULTI;
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return DEVICE_NONE;
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}
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string Device::string_from_type(DeviceType type)
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{
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if(type == DEVICE_CPU)
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return "cpu";
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else if(type == DEVICE_CUDA)
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return "cuda";
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else if(type == DEVICE_OPENCL)
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return "opencl";
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else if(type == DEVICE_NETWORK)
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return "network";
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else if(type == DEVICE_MULTI)
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return "multi";
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return "";
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}
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vector<DeviceType>& Device::available_types()
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{
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static vector<DeviceType> types;
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static bool types_init = false;
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if(!types_init) {
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types.push_back(DEVICE_CPU);
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#ifdef WITH_CUDA
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if(cuLibraryInit())
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types.push_back(DEVICE_CUDA);
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#endif
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#ifdef WITH_OPENCL
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if(clLibraryInit())
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types.push_back(DEVICE_OPENCL);
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#endif
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#ifdef WITH_NETWORK
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types.push_back(DEVICE_NETWORK);
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#endif
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#ifdef WITH_MULTI
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types.push_back(DEVICE_MULTI);
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#endif
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types_init = true;
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}
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return types;
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}
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vector<DeviceInfo>& Device::available_devices()
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{
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static vector<DeviceInfo> devices;
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static bool devices_init = false;
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static double device_update_time = 0.0;
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/* only update device list if we're not actively rendering already, things
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* could go very wrong if a device suddenly becomes (un)available. also do
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* it only every 5 seconds. it not super cpu intensive but don't want to do
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* it on every redraw. */
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if(devices_init) {
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if(!TaskScheduler::active() && (time_dt() > device_update_time + 5.0)) {
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devices.clear();
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devices_init = false;
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}
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}
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if(!devices_init) {
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#ifdef WITH_CUDA
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if(cuLibraryInit())
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device_cuda_info(devices);
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#endif
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#ifdef WITH_OPENCL
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if(clLibraryInit())
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device_opencl_info(devices);
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#endif
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#ifdef WITH_MULTI
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device_multi_info(devices);
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#endif
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device_cpu_info(devices);
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#ifdef WITH_NETWORK
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device_network_info(devices);
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#endif
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devices_init = true;
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device_update_time = time_dt();
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}
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return devices;
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}
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CCL_NAMESPACE_END
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