blender/intern/cycles/session/denoising.h
Nikita Sirgienko 4651f8a08f Fix: Respect Blender Cycles setting for GPU denoising
Previously, GPU denoisers were ignoring settings about render
configuration and were using any available GPU. With these changes,
GPU denoisers will use the device selected in Blender Cycles
settings.
This allows any GPU denoiser to be used with CPU rendering.

Pull Request: https://projects.blender.org/blender/blender/pulls/118841
2024-06-03 22:41:25 +02:00

174 lines
4.4 KiB
C++

/* SPDX-FileCopyrightText: 2011-2022 Blender Foundation
*
* SPDX-License-Identifier: Apache-2.0 */
#ifndef __DENOISING_H__
#define __DENOISING_H__
/* TODO(sergey): Make it explicit and clear when something is a denoiser, its pipeline or
* parameters. Currently it is an annoying mixture of terms used interchangeably. */
#include "device/device.h"
#include "integrator/denoiser.h"
#include "util/string.h"
#include "util/unique_ptr.h"
#include "util/vector.h"
#include <OpenImageIO/imageio.h>
OIIO_NAMESPACE_USING
CCL_NAMESPACE_BEGIN
/* Denoiser pipeline */
class DenoiserPipeline {
public:
DenoiserPipeline(DeviceInfo &denoiser_device_info, const DenoiseParams &params);
~DenoiserPipeline();
bool run();
/* Error message after running, in case of failure. */
string error;
/* Sequential list of frame filepaths to denoise. */
vector<string> input;
/* Sequential list of frame filepaths to write result to. Empty entries
* are skipped, so only a subset of the sequence can be denoised while
* taking into account all input frames. */
vector<string> output;
protected:
friend class DenoiseTask;
Stats stats;
Profiler profiler;
Device *device;
Device *cpu_device;
std::unique_ptr<Denoiser> denoiser;
};
/* Denoise Image Layer */
struct DenoiseImageLayer {
string name;
/* All channels belonging to this DenoiseImageLayer. */
vector<string> channels;
/* Layer to image channel mapping. */
vector<int> layer_to_image_channel;
/* Sample amount that was used for rendering this layer. */
int samples;
/* Device input channel will be copied from image channel input_to_image_channel[i]. */
vector<int> input_to_image_channel;
/* Write i-th channel of the processing output to output_to_image_channel[i]-th channel of the
* file. */
vector<int> output_to_image_channel;
/* output_to_image_channel of the previous frame, if used. */
vector<int> previous_output_to_image_channel;
/* Detect whether this layer contains a full set of channels and set up the offsets accordingly.
*/
bool detect_denoising_channels();
/* Map the channels of a secondary frame to the channels that are required for processing,
* fill neighbor_input_to_image_channel if all are present or return false if a channel are
* missing. */
bool match_channels(const std::vector<string> &channelnames,
const std::vector<string> &neighbor_channelnames);
};
/* Denoise Image Data */
class DenoiseImage {
public:
DenoiseImage();
~DenoiseImage();
/* Dimensions */
int width, height, num_channels;
/* Samples */
int samples;
/* Pixel buffer with interleaved channels. */
array<float> pixels;
/* Image file handles */
ImageSpec in_spec;
unique_ptr<ImageInput> in_previous;
/* Render layers */
vector<DenoiseImageLayer> layers;
void free();
/* Open the input image, parse its channels, open the output image and allocate the output
* buffer. */
bool load(const string &in_filepath, string &error);
/* Load neighboring frames. */
bool load_previous(const string &in_filepath, string &error);
/* Load subset of pixels from file buffer into input buffer, as needed for denoising
* on the device. Channels are reshuffled following the provided mapping. */
void read_pixels(const DenoiseImageLayer &layer,
const BufferParams &params,
float *input_pixels);
bool read_previous_pixels(const DenoiseImageLayer &layer,
const BufferParams &params,
float *input_pixels);
bool save_output(const string &out_filepath, string &error);
protected:
/* Parse input file channels, separate them into DenoiseImageLayers,
* detect DenoiseImageLayers with full channel sets,
* fill layers and set up the output channels and passthrough map. */
bool parse_channels(const ImageSpec &in_spec, string &error);
void close_input();
};
/* Denoise Task */
class DenoiseTask {
public:
DenoiseTask(Device *device, DenoiserPipeline *denoiser, int frame);
~DenoiseTask();
/* Task stages */
bool load();
bool exec();
bool save();
void free();
string error;
protected:
/* Denoiser parameters and device */
DenoiserPipeline *denoiser;
Device *device;
/* Frame number to be denoised */
int frame;
/* Image file data */
DenoiseImage image;
int current_layer;
RenderBuffers buffers;
/* Task handling */
bool load_input_pixels(int layer);
};
CCL_NAMESPACE_END
#endif /* __DENOISING_H__ */