/* * Copyright 2011-2013 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 #include /* So ImathMath is included before our kernel_cpu_compat. */ #ifdef WITH_OSL /* So no context pollution happens from indirectly included windows.h */ # include "util/util_windows.h" # include #endif #include "device/device.h" #include "device/device_intern.h" #include "device/device_split_kernel.h" #include "kernel/kernel.h" #include "kernel/kernel_compat_cpu.h" #include "kernel/kernel_types.h" #include "kernel/split/kernel_split_data.h" #include "kernel/kernel_globals.h" #include "kernel/osl/osl_shader.h" #include "kernel/osl/osl_globals.h" #include "render/buffers.h" #include "util/util_debug.h" #include "util/util_foreach.h" #include "util/util_function.h" #include "util/util_logging.h" #include "util/util_map.h" #include "util/util_opengl.h" #include "util/util_progress.h" #include "util/util_system.h" #include "util/util_thread.h" CCL_NAMESPACE_BEGIN class CPUDevice; class CPUSplitKernel : public DeviceSplitKernel { CPUDevice *device; public: explicit CPUSplitKernel(CPUDevice *device); virtual bool enqueue_split_kernel_data_init(const KernelDimensions& dim, RenderTile& rtile, int num_global_elements, device_memory& kernel_globals, device_memory& kernel_data_, device_memory& split_data, device_memory& ray_state, device_memory& queue_index, device_memory& use_queues_flag, device_memory& work_pool_wgs); virtual SplitKernelFunction* get_split_kernel_function(string kernel_name, const DeviceRequestedFeatures&); virtual int2 split_kernel_local_size(); virtual int2 split_kernel_global_size(device_memory& kg, device_memory& data, DeviceTask *task); virtual uint64_t state_buffer_size(device_memory& kg, device_memory& data, size_t num_threads); }; class CPUDevice : public Device { static unordered_map kernel_functions; static void register_kernel_function(const char* name, void* func) { kernel_functions[name] = func; } static const char* get_arch_name() { #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { return "cpu_avx2"; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { return "cpu_avx"; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { return "cpu_sse41"; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { return "cpu_sse3"; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { return "cpu_sse2"; } else #endif { return "cpu"; } } template static F get_kernel_function(string name) { name = string("kernel_") + get_arch_name() + "_" + name; unordered_map::iterator it = kernel_functions.find(name); if(it == kernel_functions.end()) { assert(!"kernel function not found"); return NULL; } return (F)it->second; } friend class CPUSplitKernel; public: TaskPool task_pool; KernelGlobals kernel_globals; #ifdef WITH_OSL OSLGlobals osl_globals; #endif bool use_split_kernel; DeviceRequestedFeatures requested_features; CPUDevice(DeviceInfo& info, Stats &stats, bool background) : Device(info, stats, background) { #ifdef WITH_OSL kernel_globals.osl = &osl_globals; #endif /* do now to avoid thread issues */ system_cpu_support_sse2(); system_cpu_support_sse3(); system_cpu_support_sse41(); system_cpu_support_avx(); system_cpu_support_avx2(); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { VLOG(1) << "Will be using AVX2 kernels."; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { VLOG(1) << "Will be using AVX kernels."; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { VLOG(1) << "Will be using SSE4.1 kernels."; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { VLOG(1) << "Will be using SSE3kernels."; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { VLOG(1) << "Will be using SSE2 kernels."; } else #endif { VLOG(1) << "Will be using regular kernels."; } use_split_kernel = DebugFlags().cpu.split_kernel; if(use_split_kernel) { VLOG(1) << "Will be using split kernel."; } kernel_cpu_register_functions(register_kernel_function); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 kernel_cpu_sse2_register_functions(register_kernel_function); #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 kernel_cpu_sse3_register_functions(register_kernel_function); #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 kernel_cpu_sse41_register_functions(register_kernel_function); #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX kernel_cpu_avx_register_functions(register_kernel_function); #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 kernel_cpu_avx2_register_functions(register_kernel_function); #endif } ~CPUDevice() { task_pool.stop(); } virtual bool show_samples() const { return (TaskScheduler::num_threads() == 1); } void mem_alloc(const char *name, device_memory& mem, MemoryType /*type*/) { if(name) { VLOG(1) << "Buffer allocate: " << name << ", " << string_human_readable_number(mem.memory_size()) << " bytes. (" << string_human_readable_size(mem.memory_size()) << ")"; } mem.device_pointer = mem.data_pointer; if(!mem.device_pointer) { mem.device_pointer = (device_ptr)malloc(mem.memory_size()); } mem.device_size = mem.memory_size(); stats.mem_alloc(mem.device_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) { if(mem.device_pointer) { if(!mem.data_pointer) { free((void*)mem.device_pointer); } mem.device_pointer = 0; stats.mem_free(mem.device_size); mem.device_size = 0; } } void const_copy_to(const char *name, void *host, size_t size) { kernel_const_copy(&kernel_globals, name, host, size); } void tex_alloc(const char *name, device_memory& mem, InterpolationType interpolation, ExtensionType extension) { VLOG(1) << "Texture allocate: " << name << ", " << string_human_readable_number(mem.memory_size()) << " bytes. (" << string_human_readable_size(mem.memory_size()) << ")"; kernel_tex_copy(&kernel_globals, name, mem.data_pointer, mem.data_width, mem.data_height, mem.data_depth, interpolation, extension); mem.device_pointer = mem.data_pointer; mem.device_size = mem.memory_size(); stats.mem_alloc(mem.device_size); } void tex_free(device_memory& mem) { if(mem.device_pointer) { mem.device_pointer = 0; stats.mem_free(mem.device_size); mem.device_size = 0; } } void *osl_memory() { #ifdef WITH_OSL return &osl_globals; #else return NULL; #endif } void thread_run(DeviceTask *task) { if(task->type == DeviceTask::PATH_TRACE) { if(!use_split_kernel) { thread_path_trace(*task); } else { thread_path_trace_split(*task); } } else if(task->type == DeviceTask::FILM_CONVERT) thread_film_convert(*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.canceled()) { if(task.need_finish_queue == false) return; } KernelGlobals kg = thread_kernel_globals_init(); RenderTile tile; void(*path_trace_kernel)(KernelGlobals*, float*, unsigned int*, int, int, int, int, int); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { path_trace_kernel = kernel_cpu_avx2_path_trace; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { path_trace_kernel = kernel_cpu_avx_path_trace; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { path_trace_kernel = kernel_cpu_sse41_path_trace; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { path_trace_kernel = kernel_cpu_sse3_path_trace; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { path_trace_kernel = kernel_cpu_sse2_path_trace; } else #endif { path_trace_kernel = kernel_cpu_path_trace; } 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; for(int sample = start_sample; sample < end_sample; sample++) { if(task.get_cancel() || task_pool.canceled()) { 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++) { path_trace_kernel(&kg, render_buffer, rng_state, sample, x, y, tile.offset, tile.stride); } } tile.sample = sample + 1; task.update_progress(&tile, tile.w*tile.h); } task.release_tile(tile); if(task_pool.canceled()) { if(task.need_finish_queue == false) break; } } thread_kernel_globals_free(&kg); } void thread_path_trace_split(DeviceTask& task) { if(task_pool.canceled()) { if(task.need_finish_queue == false) return; } RenderTile tile; CPUSplitKernel split_kernel(this); /* allocate buffer for kernel globals */ device_memory kgbuffer; kgbuffer.resize(sizeof(KernelGlobals)); mem_alloc("kernel_globals", kgbuffer, MEM_READ_WRITE); KernelGlobals *kg = (KernelGlobals*)kgbuffer.device_pointer; *kg = thread_kernel_globals_init(); requested_features.max_closure = MAX_CLOSURE; if(!split_kernel.load_kernels(requested_features)) { thread_kernel_globals_free((KernelGlobals*)kgbuffer.device_pointer); mem_free(kgbuffer); return; } while(task.acquire_tile(this, tile)) { device_memory data; split_kernel.path_trace(&task, tile, kgbuffer, data); task.release_tile(tile); if(task_pool.canceled()) { if(task.need_finish_queue == false) break; } } thread_kernel_globals_free((KernelGlobals*)kgbuffer.device_pointer); mem_free(kgbuffer); } void thread_film_convert(DeviceTask& task) { float sample_scale = 1.0f/(task.sample + 1); if(task.rgba_half) { void(*convert_to_half_float_kernel)(KernelGlobals *, uchar4 *, float *, float, int, int, int, int); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { convert_to_half_float_kernel = kernel_cpu_avx2_convert_to_half_float; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { convert_to_half_float_kernel = kernel_cpu_avx_convert_to_half_float; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { convert_to_half_float_kernel = kernel_cpu_sse41_convert_to_half_float; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { convert_to_half_float_kernel = kernel_cpu_sse3_convert_to_half_float; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { convert_to_half_float_kernel = kernel_cpu_sse2_convert_to_half_float; } else #endif { convert_to_half_float_kernel = kernel_cpu_convert_to_half_float; } for(int y = task.y; y < task.y + task.h; y++) for(int x = task.x; x < task.x + task.w; x++) convert_to_half_float_kernel(&kernel_globals, (uchar4*)task.rgba_half, (float*)task.buffer, sample_scale, x, y, task.offset, task.stride); } else { void(*convert_to_byte_kernel)(KernelGlobals *, uchar4 *, float *, float, int, int, int, int); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { convert_to_byte_kernel = kernel_cpu_avx2_convert_to_byte; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { convert_to_byte_kernel = kernel_cpu_avx_convert_to_byte; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { convert_to_byte_kernel = kernel_cpu_sse41_convert_to_byte; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { convert_to_byte_kernel = kernel_cpu_sse3_convert_to_byte; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { convert_to_byte_kernel = kernel_cpu_sse2_convert_to_byte; } else #endif { convert_to_byte_kernel = kernel_cpu_convert_to_byte; } for(int y = task.y; y < task.y + task.h; y++) for(int x = task.x; x < task.x + task.w; x++) convert_to_byte_kernel(&kernel_globals, (uchar4*)task.rgba_byte, (float*)task.buffer, sample_scale, x, y, task.offset, task.stride); } } void thread_shader(DeviceTask& task) { KernelGlobals kg = kernel_globals; #ifdef WITH_OSL OSLShader::thread_init(&kg, &kernel_globals, &osl_globals); #endif void(*shader_kernel)(KernelGlobals*, uint4*, float4*, float*, int, int, int, int, int); #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { shader_kernel = kernel_cpu_avx2_shader; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { shader_kernel = kernel_cpu_avx_shader; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { shader_kernel = kernel_cpu_sse41_shader; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { shader_kernel = kernel_cpu_sse3_shader; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { shader_kernel = kernel_cpu_sse2_shader; } else #endif { shader_kernel = kernel_cpu_shader; } for(int sample = 0; sample < task.num_samples; sample++) { for(int x = task.shader_x; x < task.shader_x + task.shader_w; x++) shader_kernel(&kg, (uint4*)task.shader_input, (float4*)task.shader_output, (float*)task.shader_output_luma, task.shader_eval_type, task.shader_filter, x, task.offset, sample); if(task.get_cancel() || task_pool.canceled()) break; task.update_progress(NULL); } #ifdef WITH_OSL OSLShader::thread_free(&kg); #endif } int get_split_task_count(DeviceTask& task) { if(task.type == DeviceTask::SHADER) return task.get_subtask_count(TaskScheduler::num_threads(), 256); else return task.get_subtask_count(TaskScheduler::num_threads()); } void task_add(DeviceTask& task) { /* split task into smaller ones */ list tasks; if(task.type == DeviceTask::SHADER) task.split(tasks, TaskScheduler::num_threads(), 256); else task.split(tasks, TaskScheduler::num_threads()); foreach(DeviceTask& task, tasks) task_pool.push(new CPUDeviceTask(this, task)); } void task_wait() { task_pool.wait_work(); } void task_cancel() { task_pool.cancel(); } protected: inline KernelGlobals thread_kernel_globals_init() { KernelGlobals kg = kernel_globals; kg.transparent_shadow_intersections = NULL; const int decoupled_count = sizeof(kg.decoupled_volume_steps) / sizeof(*kg.decoupled_volume_steps); for(int i = 0; i < decoupled_count; ++i) { kg.decoupled_volume_steps[i] = NULL; } kg.decoupled_volume_steps_index = 0; #ifdef WITH_OSL OSLShader::thread_init(&kg, &kernel_globals, &osl_globals); #endif return kg; } inline void thread_kernel_globals_free(KernelGlobals *kg) { if(kg == NULL) { return; } if(kg->transparent_shadow_intersections != NULL) { free(kg->transparent_shadow_intersections); } const int decoupled_count = sizeof(kg->decoupled_volume_steps) / sizeof(*kg->decoupled_volume_steps); for(int i = 0; i < decoupled_count; ++i) { if(kg->decoupled_volume_steps[i] != NULL) { free(kg->decoupled_volume_steps[i]); } } #ifdef WITH_OSL OSLShader::thread_free(kg); #endif } virtual bool load_kernels(DeviceRequestedFeatures& requested_features_) { requested_features = requested_features_; return true; } }; /* split kernel */ class CPUSplitKernelFunction : public SplitKernelFunction { public: CPUDevice* device; void (*func)(KernelGlobals *kg, KernelData *data); CPUSplitKernelFunction(CPUDevice* device) : device(device), func(NULL) {} ~CPUSplitKernelFunction() {} virtual bool enqueue(const KernelDimensions& dim, device_memory& kernel_globals, device_memory& data) { if(!func) { return false; } KernelGlobals *kg = (KernelGlobals*)kernel_globals.device_pointer; kg->global_size = make_int2(dim.global_size[0], dim.global_size[1]); for(int y = 0; y < dim.global_size[1]; y++) { for(int x = 0; x < dim.global_size[0]; x++) { kg->global_id = make_int2(x, y); func(kg, (KernelData*)data.device_pointer); } } return true; } }; CPUSplitKernel::CPUSplitKernel(CPUDevice *device) : DeviceSplitKernel(device), device(device) { } bool CPUSplitKernel::enqueue_split_kernel_data_init(const KernelDimensions& dim, RenderTile& rtile, int num_global_elements, device_memory& kernel_globals, device_memory& data, device_memory& split_data, device_memory& ray_state, device_memory& queue_index, device_memory& use_queues_flags, device_memory& work_pool_wgs) { typedef void(*data_init_t)(KernelGlobals *kg, ccl_constant KernelData *data, ccl_global void *split_data_buffer, int num_elements, ccl_global char *ray_state, ccl_global uint *rng_state, int start_sample, int end_sample, int sx, int sy, int sw, int sh, int offset, int stride, ccl_global int *Queue_index, int queuesize, ccl_global char *use_queues_flag, ccl_global unsigned int *work_pool_wgs, unsigned int num_samples, ccl_global float *buffer); data_init_t data_init; #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX2 if(system_cpu_support_avx2()) { data_init = kernel_cpu_avx2_data_init; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_AVX if(system_cpu_support_avx()) { data_init = kernel_cpu_avx_data_init; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE41 if(system_cpu_support_sse41()) { data_init = kernel_cpu_sse41_data_init; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE3 if(system_cpu_support_sse3()) { data_init = kernel_cpu_sse3_data_init; } else #endif #ifdef WITH_CYCLES_OPTIMIZED_KERNEL_SSE2 if(system_cpu_support_sse2()) { data_init = kernel_cpu_sse2_data_init; } else #endif { data_init = kernel_cpu_data_init; } KernelGlobals *kg = (KernelGlobals*)kernel_globals.device_pointer; kg->global_size = make_int2(dim.global_size[0], dim.global_size[1]); for(int y = 0; y < dim.global_size[1]; y++) { for(int x = 0; x < dim.global_size[0]; x++) { kg->global_id = make_int2(x, y); data_init((KernelGlobals*)kernel_globals.device_pointer, (KernelData*)data.device_pointer, (void*)split_data.device_pointer, num_global_elements, (char*)ray_state.device_pointer, (uint*)rtile.rng_state, rtile.start_sample, rtile.start_sample + rtile.num_samples, rtile.x, rtile.y, rtile.w, rtile.h, rtile.offset, rtile.stride, (int*)queue_index.device_pointer, dim.global_size[0] * dim.global_size[1], (char*)use_queues_flags.device_pointer, (uint*)work_pool_wgs.device_pointer, rtile.num_samples, (float*)rtile.buffer); } } return true; } SplitKernelFunction* CPUSplitKernel::get_split_kernel_function(string kernel_name, const DeviceRequestedFeatures&) { CPUSplitKernelFunction *kernel = new CPUSplitKernelFunction(device); kernel->func = device->get_kernel_function(kernel_name); if(!kernel->func) { delete kernel; return NULL; } return kernel; } int2 CPUSplitKernel::split_kernel_local_size() { return make_int2(1, 1); } int2 CPUSplitKernel::split_kernel_global_size(device_memory& /*kg*/, device_memory& /*data*/, DeviceTask * /*task*/) { return make_int2(1, 1); } uint64_t CPUSplitKernel::state_buffer_size(device_memory& kernel_globals, device_memory& /*data*/, size_t num_threads) { KernelGlobals *kg = (KernelGlobals*)kernel_globals.device_pointer; return split_data_buffer_size(kg, num_threads); } unordered_map CPUDevice::kernel_functions; Device *device_cpu_create(DeviceInfo& info, Stats &stats, bool background) { return new CPUDevice(info, stats, background); } void device_cpu_info(vector& 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); } string device_cpu_capabilities(void) { string capabilities = ""; capabilities += system_cpu_support_sse2() ? "SSE2 " : ""; capabilities += system_cpu_support_sse3() ? "SSE3 " : ""; capabilities += system_cpu_support_sse41() ? "SSE41 " : ""; capabilities += system_cpu_support_avx() ? "AVX " : ""; capabilities += system_cpu_support_avx2() ? "AVX2" : ""; if(capabilities[capabilities.size() - 1] == ' ') capabilities.resize(capabilities.size() - 1); return capabilities; } CCL_NAMESPACE_END