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/*
* 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 "testing/testing.h"
#include "integrator/adaptive_sampling.h"
#include "util/util_vector.h"
CCL_NAMESPACE_BEGIN
TEST(AdaptiveSampling, schedule_samples)
{
AdaptiveSampling adaptive_sampling;
adaptive_sampling.use = true;
adaptive_sampling.min_samples = 0;
adaptive_sampling.adaptive_step = 4;
for (int sample = 2; sample < 32; ++sample) {
for (int num_samples = 8; num_samples < 32; ++num_samples) {
const int num_samples_aligned = adaptive_sampling.align_samples(sample, num_samples);
/* NOTE: `sample + num_samples_aligned` is the number of samples after rendering, so need
* to convert this to the 0-based index of the last sample. */
EXPECT_TRUE(adaptive_sampling.need_filter(sample + num_samples_aligned - 1));
}
}
}
TEST(AdaptiveSampling, align_samples)
{
AdaptiveSampling adaptive_sampling;
adaptive_sampling.use = true;
adaptive_sampling.min_samples = 11 /* rounded of sqrt(128) */;
adaptive_sampling.adaptive_step = 4;
/* Filtering will happen at the following samples:
* 15, 19, 23, 27, 31, 35, 39, 43 */
/* Requested sample and number of samples will result in number of samples lower than
* `min_samples`. */
EXPECT_EQ(adaptive_sampling.align_samples(0, 4), 4);
EXPECT_EQ(adaptive_sampling.align_samples(0, 7), 7);
/* Request number of samples higher than the minimum samples before filter, but prior to the
* first sample at which filtering will happen. */
EXPECT_EQ(adaptive_sampling.align_samples(0, 15), 15);
/* When rendering many samples from the very beginning, limit number of samples by the first
* sample at which filtering is to happen. */
EXPECT_EQ(adaptive_sampling.align_samples(0, 16), 16);
EXPECT_EQ(adaptive_sampling.align_samples(0, 17), 16);
EXPECT_EQ(adaptive_sampling.align_samples(0, 20), 16);
EXPECT_EQ(adaptive_sampling.align_samples(0, 60), 16);
/* Similar to above, but start sample is not 0. */
EXPECT_EQ(adaptive_sampling.align_samples(9, 8), 7);
EXPECT_EQ(adaptive_sampling.align_samples(9, 20), 7);
EXPECT_EQ(adaptive_sampling.align_samples(9, 60), 7);
/* Start sample is past the minimum required samples, but prior to the first filter sample. */
EXPECT_EQ(adaptive_sampling.align_samples(12, 6), 4);
EXPECT_EQ(adaptive_sampling.align_samples(12, 20), 4);
EXPECT_EQ(adaptive_sampling.align_samples(12, 60), 4);
/* Start sample is the sample which is to be filtered. */
EXPECT_EQ(adaptive_sampling.align_samples(15, 4), 1);
EXPECT_EQ(adaptive_sampling.align_samples(15, 6), 1);
EXPECT_EQ(adaptive_sampling.align_samples(15, 10), 1);
EXPECT_EQ(adaptive_sampling.align_samples(58, 2), 2);
/* Start sample is past the sample which is to be filtered. */
EXPECT_EQ(adaptive_sampling.align_samples(16, 3), 3);
EXPECT_EQ(adaptive_sampling.align_samples(16, 4), 4);
EXPECT_EQ(adaptive_sampling.align_samples(16, 5), 4);
EXPECT_EQ(adaptive_sampling.align_samples(16, 10), 4);
/* Should never exceed requested number of samples. */
EXPECT_EQ(adaptive_sampling.align_samples(15, 2), 1);
EXPECT_EQ(adaptive_sampling.align_samples(16, 2), 2);
EXPECT_EQ(adaptive_sampling.align_samples(17, 2), 2);
EXPECT_EQ(adaptive_sampling.align_samples(18, 2), 2);
}
TEST(AdaptiveSampling, need_filter)
{
AdaptiveSampling adaptive_sampling;
adaptive_sampling.use = true;
adaptive_sampling.min_samples = 11 /* rounded of sqrt(128) */;
adaptive_sampling.adaptive_step = 4;
const vector<int> expected_samples_to_filter = {
{15, 19, 23, 27, 31, 35, 39, 43, 47, 51, 55, 59}};
vector<int> actual_samples_to_filter;
for (int sample = 0; sample < 60; ++sample) {
if (adaptive_sampling.need_filter(sample)) {
actual_samples_to_filter.push_back(sample);
}
}
EXPECT_EQ(actual_samples_to_filter, expected_samples_to_filter);
}
CCL_NAMESPACE_END
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