72 lines
1.8 KiB
C++
72 lines
1.8 KiB
C++
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/*
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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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#include "integrator/adaptive_sampling.h"
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#include "util/util_math.h"
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CCL_NAMESPACE_BEGIN
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AdaptiveSampling::AdaptiveSampling()
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{
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}
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int AdaptiveSampling::align_samples(int start_sample, int num_samples) const
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{
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if (!use) {
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return num_samples;
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}
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/*
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* The naive implementation goes as following:
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*
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* int count = 1;
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* while (!need_filter(start_sample + count - 1) && count < num_samples) {
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* ++count;
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* }
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* return count;
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*/
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/* 0-based sample index at which first filtering will happen. */
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const int first_filter_sample = (min_samples + 1) | (adaptive_step - 1);
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/* Allow as many samples as possible until the first filter sample. */
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if (start_sample + num_samples <= first_filter_sample) {
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return num_samples;
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}
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const int next_filter_sample = max(first_filter_sample, start_sample | (adaptive_step - 1));
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const int num_samples_until_filter = next_filter_sample - start_sample + 1;
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return min(num_samples_until_filter, num_samples);
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}
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bool AdaptiveSampling::need_filter(int sample) const
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{
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if (!use) {
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return false;
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}
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if (sample <= min_samples) {
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return false;
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}
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return (sample & (adaptive_step - 1)) == (adaptive_step - 1);
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}
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CCL_NAMESPACE_END
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