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/*
* Copyright 2011-2021 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.
*/
#pragma once
#include "kernel/integrator/integrator_state.h"
#include "device/cpu/kernel_thread_globals.h"
#include "device/device_queue.h"
#include "integrator/path_trace_work.h"
#include "util/util_vector.h"
CCL_NAMESPACE_BEGIN
struct KernelWorkTile;
struct KernelGlobals;
class CPUKernels;
/* Implementation of PathTraceWork which schedules work on to queues pixel-by-pixel,
* for CPU devices.
*
* NOTE: For the CPU rendering there are assumptions about TBB arena size and number of concurrent
* queues on the render device which makes this work be only usable on CPU. */
class PathTraceWorkCPU : public PathTraceWork {
public:
PathTraceWorkCPU(Device *device,
Film *film,
DeviceScene *device_scene,
bool *cancel_requested_flag);
virtual void init_execution() override;
virtual void render_samples(RenderStatistics &statistics,
int start_sample,
int samples_num) override;
virtual void copy_to_gpu_display(GPUDisplay *gpu_display,
PassMode pass_mode,
int num_samples) override;
virtual void destroy_gpu_resources(GPUDisplay *gpu_display) override;
virtual bool copy_render_buffers_from_device() override;
virtual bool copy_render_buffers_to_device() override;
virtual bool zero_render_buffers() override;
virtual int adaptive_sampling_converge_filter_count_active(float threshold, bool reset) override;
virtual void cryptomatte_postproces() override;
protected:
/* Core path tracing routine. Renders given work time on the given queue. */
void render_samples_full_pipeline(KernelGlobals *kernel_globals,
const KernelWorkTile &work_tile,
const int samples_num);
/* CPU kernels. */
const CPUKernels &kernels_;
/* Copy of kernel globals which is suitable for concurrent access from multiple threads.
*
* More specifically, the `kernel_globals_` is local to each threads and nobody else is
* accessing it, but some "localization" is required to decouple from kernel globals stored
* on the device level. */
vector<CPUKernelThreadGlobals> kernel_thread_globals_;
};
CCL_NAMESPACE_END
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