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232 lines
5.8 KiB
C++
232 lines
5.8 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include <cstdint>
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#include <ostream>
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#include <random>
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#include <vector>
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#include <hipdnn_data_sdk/utilities/StringUtil.hpp>
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#include <hipdnn_test_sdk/utilities/Seeds.hpp>
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namespace test_bn_common
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{
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struct BatchnormTestCase
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{
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std::vector<int64_t> dims;
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unsigned int seed;
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BatchnormTestCase(std::vector<int64_t>&& dimsLocal, unsigned int seedLocal)
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: dims(std::move(dimsLocal))
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, seed(seedLocal)
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{
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if(dims.size() < 3 || dims.size() > 5)
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{
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throw std::invalid_argument(
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"dims must be 3D (N, C, L), 4D (N, C, H, W), or 5D (N, C, D, H, W)");
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}
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}
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friend std::ostream& operator<<(std::ostream& ss, const BatchnormTestCase& tc)
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{
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ss << "(dims:";
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hipdnn_data_sdk::utilities::vecToStream(ss, tc.dims);
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ss << " seed:" << tc.seed;
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ss << ")";
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return ss;
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}
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};
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inline std::vector<BatchnormTestCase> getBnFwdInference1dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 224}, seed},
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{{2, 16, 512}, seed}, // Multi-batch
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{{1, 64, 1024}, seed}, // Longer sequence
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{{4, 3, 1}, seed}, // Minimal spatial (L=1)
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdInference1dFullTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{8, 32, 2048}, seed}, // Large sequence
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{{16, 128, 512}, seed}, // Many channels
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};
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}
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inline std::vector<BatchnormTestCase> getBnBwd1dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 224}, seed},
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{{2, 16, 512}, seed},
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{{1, 64, 1024}, seed},
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{{4, 3, 1}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnBwd1dFullTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{8, 32, 2048}, seed},
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{{16, 128, 512}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingSmoke1dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 1}, seed}, // B=2, L=1 → B×L=2 > 1
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{{1, 16, 14}, seed}, // B=1, L=14 → B×L=14 > 1
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingFull1dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 1}, seed}, // Minimal case
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{{1, 3, 14}, seed}, // Small batch, moderate length
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{{4, 8, 56}, seed}, // Medium size
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{{2, 64, 128}, seed}, // Larger
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};
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}
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// This is used for operation tests
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inline std::vector<BatchnormTestCase> getBatchnorm2dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 14, 14}, seed},
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{{2, 3, 14, 14}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdInferenceTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 14, 14}, seed},
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{{1, 256, 1, 1}, seed},
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{{2, 3, 1, 1}, seed},
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{{32, 1, 14, 14}, seed},
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{{32, 3, 1, 14}, seed},
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{{32, 3, 14, 1}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdInferenceFullTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 16, 112, 112}, seed},
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{{5, 256, 14, 14}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdInference3dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 3, 1, 1}, seed},
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{{16, 3, 8, 14, 14}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnBwdTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 14, 14}, seed},
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{{2, 3, 1, 1}, seed},
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{{32, 1, 14, 14}, seed},
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{{32, 3, 1, 14}, seed},
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{{32, 3, 14, 1}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnBwdFullTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 16, 112, 112}, seed},
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{{5, 256, 14, 14}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnBwd3dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 3, 1, 1}, seed},
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{{16, 3, 8, 14, 14}, seed},
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingSmoke2dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 1, 1}, seed}, // Minimal case
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{{32, 3, 1, 14}, seed}, // Typical small training case
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingFull2dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{1, 3, 14, 14}, seed}, // Small batch
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{{2, 3, 1, 1}, seed}, // Edge case: 1x1 spatial
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{{8, 16, 28, 28}, seed}, // Medium size
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{{4, 64, 7, 7}, seed}, // Many channels, smaller spatial
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingSmoke3dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 3, 1, 1}, seed}, // Minimal 3D case
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{{2, 3, 2, 4, 4}, seed}, // Small case with non-1 spatial dims
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};
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}
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inline std::vector<BatchnormTestCase> getBnFwdTrainingFull3dTestCases()
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{
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unsigned seed = hipdnn_test_sdk::utilities::getGlobalTestSeed();
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return {
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{{2, 3, 3, 1, 1}, seed}, // Minimal case
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{{2, 3, 2, 4, 4}, seed}, // Small case
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{{16, 3, 8, 14, 14}, seed}, // Larger regression case
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};
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}
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} // namespace test_bn_common
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