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Diffstat (limited to 'intern/cycles/integrator/adaptive_sampling.cpp')
-rw-r--r-- | intern/cycles/integrator/adaptive_sampling.cpp | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/intern/cycles/integrator/adaptive_sampling.cpp b/intern/cycles/integrator/adaptive_sampling.cpp new file mode 100644 index 00000000000..23fbcfea5c2 --- /dev/null +++ b/intern/cycles/integrator/adaptive_sampling.cpp @@ -0,0 +1,71 @@ +/* + * 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. + */ + +#include "integrator/adaptive_sampling.h" + +#include "util/util_math.h" + +CCL_NAMESPACE_BEGIN + +AdaptiveSampling::AdaptiveSampling() +{ +} + +int AdaptiveSampling::align_samples(int start_sample, int num_samples) const +{ + if (!use) { + return num_samples; + } + + /* + * The naive implementation goes as following: + * + * int count = 1; + * while (!need_filter(start_sample + count - 1) && count < num_samples) { + * ++count; + * } + * return count; + */ + + /* 0-based sample index at which first filtering will happen. */ + const int first_filter_sample = (min_samples + 1) | (adaptive_step - 1); + + /* Allow as many samples as possible until the first filter sample. */ + if (start_sample + num_samples <= first_filter_sample) { + return num_samples; + } + + const int next_filter_sample = max(first_filter_sample, start_sample | (adaptive_step - 1)); + + const int num_samples_until_filter = next_filter_sample - start_sample + 1; + + return min(num_samples_until_filter, num_samples); +} + +bool AdaptiveSampling::need_filter(int sample) const +{ + if (!use) { + return false; + } + + if (sample <= min_samples) { + return false; + } + + return (sample & (adaptive_step - 1)) == (adaptive_step - 1); +} + +CCL_NAMESPACE_END |