forked from bartvdbraak/blender
a754e35198
* Split GPUDisplay into two classes. PathTraceDisplay to implement the Cycles side, and DisplayDriver to implement the host application side. The DisplayDriver is now a fully abstract base class, embedded in the PathTraceDisplay. * Move copy_pixels_to_texture implementation out of the host side into the Cycles side, since it can be implemented in terms of the texture buffer mapping. * Move definition of DeviceGraphicsInteropDestination into display driver header, so that we do not need to expose private device headers in the public API. * Add more detailed comments about how the DisplayDriver should be implemented. The "driver" terminology might not be obvious, but is also used in other renderers. Differential Revision: https://developer.blender.org/D12626
83 lines
2.8 KiB
C++
83 lines
2.8 KiB
C++
/*
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* Copyright 2011-2021 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include "kernel/integrator/integrator_state.h"
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#include "device/cpu/kernel_thread_globals.h"
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#include "device/device_queue.h"
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#include "integrator/path_trace_work.h"
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#include "util/util_vector.h"
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CCL_NAMESPACE_BEGIN
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struct KernelWorkTile;
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struct KernelGlobals;
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class CPUKernels;
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/* Implementation of PathTraceWork which schedules work on to queues pixel-by-pixel,
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* for CPU devices.
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*
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* NOTE: For the CPU rendering there are assumptions about TBB arena size and number of concurrent
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* queues on the render device which makes this work be only usable on CPU. */
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class PathTraceWorkCPU : public PathTraceWork {
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public:
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PathTraceWorkCPU(Device *device,
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Film *film,
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DeviceScene *device_scene,
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bool *cancel_requested_flag);
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virtual void init_execution() override;
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virtual void render_samples(RenderStatistics &statistics,
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int start_sample,
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int samples_num) override;
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virtual void copy_to_display(PathTraceDisplay *display,
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PassMode pass_mode,
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int num_samples) override;
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virtual void destroy_gpu_resources(PathTraceDisplay *display) override;
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virtual bool copy_render_buffers_from_device() override;
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virtual bool copy_render_buffers_to_device() override;
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virtual bool zero_render_buffers() override;
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virtual int adaptive_sampling_converge_filter_count_active(float threshold, bool reset) override;
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virtual void cryptomatte_postproces() override;
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protected:
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/* Core path tracing routine. Renders given work time on the given queue. */
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void render_samples_full_pipeline(KernelGlobals *kernel_globals,
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const KernelWorkTile &work_tile,
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const int samples_num);
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/* CPU kernels. */
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const CPUKernels &kernels_;
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/* Copy of kernel globals which is suitable for concurrent access from multiple threads.
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*
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* More specifically, the `kernel_globals_` is local to each threads and nobody else is
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* accessing it, but some "localization" is required to decouple from kernel globals stored
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* on the device level. */
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vector<CPUKernelThreadGlobals> kernel_thread_globals_;
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};
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CCL_NAMESPACE_END
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