1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194
|
/******************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
#include "insert_nested_NVTX_range_guard.h"
// above header needs to be included first
#include <cub/device/device_scan.cuh>
#include <cstdint>
#include "c2h/custom_type.cuh"
#include "c2h/extended_types.cuh"
#include "catch2_test_device_reduce.cuh"
#include "catch2_test_device_scan.cuh"
#include "catch2_test_helper.h"
#include "catch2_test_launch_helper.h"
DECLARE_LAUNCH_WRAPPER(cub::DeviceScan::ExclusiveSumByKey, device_exclusive_sum_by_key);
DECLARE_LAUNCH_WRAPPER(cub::DeviceScan::ExclusiveScanByKey, device_exclusive_scan_by_key);
DECLARE_LAUNCH_WRAPPER(cub::DeviceScan::InclusiveSumByKey, device_inclusive_sum_by_key);
DECLARE_LAUNCH_WRAPPER(cub::DeviceScan::InclusiveScanByKey, device_inclusive_scan_by_key);
// %PARAM% TEST_LAUNCH lid 0:1
// %PARAM% TEST_TYPES types 0:1:2:3
// List of types to test
using custom_t =
c2h::custom_type_t<c2h::accumulateable_t,
c2h::equal_comparable_t,
c2h::lexicographical_less_comparable_t,
c2h::lexicographical_greater_comparable_t>;
// type_quad's parameters and defaults:
// type_quad<value_in_t, value_out_t=value_in_t, key_t=int32_t, equality_op_t=cub::Equality>
#if TEST_TYPES == 0
using full_type_list = c2h::type_list<type_quad<std::uint8_t, std::int32_t, float>,
type_quad<std::int8_t, std::int8_t, std::int32_t, Mod2Equality>>;
#elif TEST_TYPES == 1
using full_type_list = c2h::type_list<type_quad<std::int32_t>, type_quad<std::uint64_t>>;
#elif TEST_TYPES == 2
using full_type_list =
c2h::type_list<type_quad<uchar3, uchar3, custom_t>, type_quad<ulonglong4, ulonglong4, std::uint8_t, Mod2Equality>>;
#elif TEST_TYPES == 3
using full_type_list = c2h::type_list<type_quad<custom_t, custom_t, custom_t>>;
#endif
/**
* @brief Input data generation mode
*/
enum class gen_data_t : int
{
/// Uniform random data generation
GEN_TYPE_RANDOM,
/// Constant value as input data
GEN_TYPE_CONST
};
CUB_TEST("Device scan works with fancy iterators", "[by_key][scan][device]", full_type_list)
{
using params = params_t<TestType>;
using key_t = typename params::type_pair_t::key_t;
using value_t = typename params::item_t;
using output_t = typename params::output_t;
using offset_t = std::uint32_t;
using eq_op_t = typename params::type_pair_t::eq_op_t;
constexpr offset_t min_items = 1;
constexpr offset_t max_items = 1000000;
// Generate the input sizes to test for
const offset_t num_items = GENERATE_COPY(
take(2, random(min_items, max_items)),
values({
min_items,
max_items,
}));
INFO("Test num_items: " << num_items);
// Range of segment sizes to generate (a segment is a series of consecutive equal keys)
const std::tuple<offset_t, offset_t> seg_size_range =
GENERATE_COPY(table<offset_t, offset_t>({{1, 1}, {1, num_items}, {num_items, num_items}}));
INFO("Test seg_size_range: [" << std::get<0>(seg_size_range) << ", " << std::get<1>(seg_size_range) << "]");
// Generate input segments
c2h::device_vector<offset_t> segment_offsets = c2h::gen_uniform_offsets<offset_t>(
CUB_SEED(1), num_items, std::get<0>(seg_size_range), std::get<1>(seg_size_range));
// Get array of keys from segment offsets
c2h::device_vector<key_t> segment_keys(num_items);
c2h::init_key_segments(segment_offsets, segment_keys);
auto d_keys_it = segment_keys.begin();
c2h::host_vector<key_t> h_segment_keys(segment_keys);
// Prepare input data
value_t default_constant{};
init_default_constant(default_constant);
auto values_in_it = thrust::make_constant_iterator(default_constant);
SECTION("inclusive sum")
{
using op_t = cub::Sum;
// Prepare verification data
c2h::host_vector<output_t> expected_result(num_items);
compute_inclusive_scan_by_key_reference(
values_in_it, h_segment_keys.cbegin(), expected_result.begin(), op_t{}, eq_op_t{}, num_items);
// Run test
c2h::device_vector<output_t> out_values(num_items);
device_inclusive_sum_by_key(d_keys_it, values_in_it, out_values.begin(), num_items, eq_op_t{});
// Verify result
REQUIRE(expected_result == out_values);
}
SECTION("exclusive sum")
{
using op_t = cub::Sum;
// Prepare verification data
c2h::host_vector<output_t> expected_result(num_items);
compute_exclusive_scan_by_key_reference(
values_in_it, h_segment_keys.cbegin(), expected_result.begin(), op_t{}, eq_op_t{}, output_t{}, num_items);
// Run test
c2h::device_vector<output_t> out_values(num_items);
device_exclusive_sum_by_key(d_keys_it, values_in_it, out_values.begin(), num_items, eq_op_t{});
// Verify result
REQUIRE(expected_result == out_values);
}
SECTION("inclusive scan")
{
using op_t = cub::Min;
// Prepare verification data
c2h::host_vector<output_t> expected_result(num_items);
compute_inclusive_scan_by_key_reference(
values_in_it, h_segment_keys.cbegin(), expected_result.begin(), op_t{}, eq_op_t{}, num_items);
// Run test
c2h::device_vector<output_t> out_values(num_items);
device_inclusive_scan_by_key(d_keys_it, values_in_it, out_values.begin(), op_t{}, num_items, eq_op_t{});
// Verify result
REQUIRE(expected_result == out_values);
}
SECTION("exclusive scan")
{
using op_t = cub::Sum;
// Scan operator
auto scan_op = op_t{};
// Prepare verification data
c2h::host_vector<output_t> expected_result(num_items);
compute_exclusive_scan_by_key_reference(
values_in_it, h_segment_keys.cbegin(), expected_result.begin(), scan_op, eq_op_t{}, output_t{}, num_items);
// Run test
c2h::device_vector<output_t> out_values(num_items);
using init_t = value_t;
device_exclusive_scan_by_key(d_keys_it, values_in_it, out_values.begin(), scan_op, init_t{}, num_items, eq_op_t{});
// Verify result
REQUIRE(expected_result == out_values);
}
}
|