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/* SPDX-License-Identifier: Apache-2.0
* Copyright 2011-2022 Blender Foundation */
#pragma once
CCL_NAMESPACE_BEGIN
class AdaptiveSampling {
public:
AdaptiveSampling();
/* Align number of samples so that they align with the adaptive filtering.
*
* Returns the new value for the `num_samples` so that after rendering so many samples on top
* of `start_sample` filtering is required.
*
* The alignment happens in a way that allows to render as many samples as possible without
* missing any filtering point. This means that the result is "clamped" by the nearest sample
* at which filtering is needed. This is part of mechanism which ensures that all devices will
* perform same exact filtering and adaptive sampling, regardless of their performance.
*
* `start_sample` is the 0-based index of sample.
*
* NOTE: The start sample is included into the number of samples to render. This means that
* if the number of samples is 1, then the path tracer will render samples [align_samples],
* if the number of samples is 2, then the path tracer will render samples [align_samples,
* align_samples + 1] and so on. */
int align_samples(int start_sample, int num_samples) const;
/* Check whether adaptive sampling filter should happen at this sample.
* Returns false if the adaptive sampling is not use.
*
* `sample` is the 0-based index of sample. */
bool need_filter(int sample) const;
bool use = false;
int adaptive_step = 0;
int min_samples = 0;
float threshold = 0.0f;
};
CCL_NAMESPACE_END
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