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tools/cub-1.8.0/test/test_block_reduce.cu
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/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, 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.
*
******************************************************************************/
/******************************************************************************
* Test of BlockReduce utilities
******************************************************************************/
// Ensure printing of CUDA runtime errors to console
#define CUB_STDERR
#include <stdio.h>
#include <device_functions.h>
#include <typeinfo>
#include <cub/block/block_reduce.cuh>
#include <cub/block/block_load.cuh>
#include <cub/util_ptx.cuh>
#include <cub/util_allocator.cuh>
#include <cub/util_debug.cuh>
#include "test_util.h"
using namespace cub;
//---------------------------------------------------------------------
// Globals, constants and typedefs
//---------------------------------------------------------------------
bool g_verbose = false;
int g_repeat = 0;
CachingDeviceAllocator g_allocator(true);
//---------------------------------------------------------------------
// Test kernels
//---------------------------------------------------------------------
/// Generic reduction (full, 1)
template <typename BlockReduceT, typename T, typename ReductionOp>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T (&data)[1], ReductionOp &reduction_op)
{
return block_reduce.Reduce(data[0], reduction_op);
}
/// Generic reduction (full, ITEMS_PER_THREAD)
template <typename BlockReduceT, typename T, int ITEMS_PER_THREAD, typename ReductionOp>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T (&data)[ITEMS_PER_THREAD], ReductionOp &reduction_op)
{
return block_reduce.Reduce(data, reduction_op);
}
/// Generic reduction (partial, 1)
template <typename BlockReduceT, typename T, typename ReductionOp>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T &data, ReductionOp &reduction_op, int valid_threads)
{
return block_reduce.Reduce(data, reduction_op, valid_threads);
}
/// Sum reduction (full, 1)
template <typename BlockReduceT, typename T>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T (&data)[1], Sum &reduction_op)
{
return block_reduce.Sum(data[0]);
}
/// Sum reduction (full, ITEMS_PER_THREAD)
template <typename BlockReduceT, typename T, int ITEMS_PER_THREAD>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T (&data)[ITEMS_PER_THREAD], Sum &reduction_op)
{
return block_reduce.Sum(data);
}
/// Sum reduction (partial, 1)
template <typename BlockReduceT, typename T>
__device__ __forceinline__ T DeviceTest(
BlockReduceT &block_reduce, T &data, Sum &reduction_op, int valid_threads)
{
return block_reduce.Sum(data, valid_threads);
}
/**
* Test full-tile reduction kernel (where num_items is an even
* multiple of BLOCK_THREADS)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
int ITEMS_PER_THREAD,
typename T,
typename ReductionOp>
__launch_bounds__ (BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z)
__global__ void FullTileReduceKernel(
T *d_in,
T *d_out,
ReductionOp reduction_op,
int tiles,
clock_t *d_elapsed)
{
const int BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z;
const int TILE_SIZE = BLOCK_THREADS * ITEMS_PER_THREAD;
// Cooperative thread block reduction utility type (returns aggregate in thread 0)
typedef BlockReduce<T, BLOCK_DIM_X, ALGORITHM, BLOCK_DIM_Y, BLOCK_DIM_Z> BlockReduceT;
// Allocate temp storage in shared memory
__shared__ typename BlockReduceT::TempStorage temp_storage;
int linear_tid = RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z);
// Per-thread tile data
T data[ITEMS_PER_THREAD];
// Load first tile of data
int block_offset = 0;
if (block_offset < TILE_SIZE * tiles)
{
LoadDirectBlocked(linear_tid, d_in + block_offset, data);
block_offset += TILE_SIZE;
// Start cycle timer
clock_t start = clock();
// Cooperative reduce first tile
BlockReduceT block_reduce(temp_storage) ;
T block_aggregate = DeviceTest(block_reduce, data, reduction_op);
// Stop cycle timer
#if CUB_PTX_ARCH == 100
// Bug: recording stop clock causes mis-write of running prefix value
clock_t stop = 0;
#else
clock_t stop = clock();
#endif // CUB_PTX_ARCH == 100
clock_t elapsed = (start > stop) ? start - stop : stop - start;
// Loop over input tiles
while (block_offset < TILE_SIZE * tiles)
{
// TestBarrier between thread block reductions
__syncthreads();
// Load tile of data
LoadDirectBlocked(linear_tid, d_in + block_offset, data);
block_offset += TILE_SIZE;
// Start cycle timer
clock_t start = clock();
// Cooperatively reduce the tile's aggregate
BlockReduceT block_reduce(temp_storage) ;
T tile_aggregate = DeviceTest(block_reduce, data, reduction_op);
// Stop cycle timer
#if CUB_PTX_ARCH == 100
// Bug: recording stop clock causes mis-write of running prefix value
clock_t stop = 0;
#else
clock_t stop = clock();
#endif // CUB_PTX_ARCH == 100
elapsed += (start > stop) ? start - stop : stop - start;
// Reduce thread block aggregate
block_aggregate = reduction_op(block_aggregate, tile_aggregate);
}
// Store data
if (linear_tid == 0)
{
d_out[0] = block_aggregate;
*d_elapsed = elapsed;
}
}
}
/**
* Test partial-tile reduction kernel (where num_items < BLOCK_THREADS)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
typename T,
typename ReductionOp>
__launch_bounds__ (BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z)
__global__ void PartialTileReduceKernel(
T *d_in,
T *d_out,
int num_items,
ReductionOp reduction_op,
clock_t *d_elapsed)
{
// Cooperative thread block reduction utility type (returns aggregate only in thread-0)
typedef BlockReduce<T, BLOCK_DIM_X, ALGORITHM, BLOCK_DIM_Y, BLOCK_DIM_Z> BlockReduceT;
// Allocate temp storage in shared memory
__shared__ typename BlockReduceT::TempStorage temp_storage;
int linear_tid = RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z);
// Per-thread tile data
T partial;
// Load partial tile data
if (linear_tid < num_items)
{
partial = d_in[linear_tid];
}
// Start cycle timer
clock_t start = clock();
// Cooperatively reduce the tile's aggregate
BlockReduceT block_reduce(temp_storage) ;
T tile_aggregate = DeviceTest(block_reduce, partial, reduction_op, num_items);
// Stop cycle timer
#if CUB_PTX_ARCH == 100
// Bug: recording stop clock causes mis-write of running prefix value
clock_t stop = 0;
#else
clock_t stop = clock();
#endif // CUB_PTX_ARCH == 100
clock_t elapsed = (start > stop) ? start - stop : stop - start;
// Store data
if (linear_tid == 0)
{
d_out[0] = tile_aggregate;
*d_elapsed = elapsed;
}
}
//---------------------------------------------------------------------
// Host utility subroutines
//---------------------------------------------------------------------
/**
* Initialize problem (and solution)
*/
template <
typename T,
typename ReductionOp>
void Initialize(
GenMode gen_mode,
T *h_in,
T h_reference[1],
ReductionOp reduction_op,
int num_items)
{
for (int i = 0; i < num_items; ++i)
{
InitValue(gen_mode, h_in[i], i);
if (i == 0)
h_reference[0] = h_in[0];
else
h_reference[0] = reduction_op(h_reference[0], h_in[i]);
}
if (g_verbose)
{
printf("Input:
");
DisplayResults(h_in, num_items);
printf("
");
}
}
//---------------------------------------------------------------------
// Full tile test generation
//---------------------------------------------------------------------
/**
* Test full-tile reduction. (Specialized for sufficient resources)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
int ITEMS_PER_THREAD,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
int tiles,
ReductionOp reduction_op,
Int2Type<true> sufficient_resources)
{
const int BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z;
const int TILE_SIZE = BLOCK_THREADS * ITEMS_PER_THREAD;
int num_items = TILE_SIZE * tiles;
// Allocate host arrays
T *h_in = new T[num_items];
T h_reference[1];
// Initialize problem
Initialize(gen_mode, h_in, h_reference, reduction_op, num_items);
// Initialize/clear device arrays
T *d_in = NULL;
T *d_out = NULL;
clock_t *d_elapsed = NULL;
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_elapsed, sizeof(unsigned long long)));
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_in, sizeof(T) * num_items));
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_out, sizeof(T) * 1));
CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(T) * num_items, cudaMemcpyHostToDevice));
CubDebugExit(cudaMemset(d_out, 0, sizeof(T) * 1));
// Test multi-tile (unguarded)
printf("TestFullTile %s, %s, gen-mode %d, num_items(%d), BLOCK_THREADS(%d) (%d,%d,%d), ITEMS_PER_THREAD(%d), tiles(%d), %s (%d bytes) elements:
",
Equals<ReductionOp, Sum>::VALUE ? "Sum" : "Max",
(ALGORITHM == BLOCK_REDUCE_RAKING) ? "BLOCK_REDUCE_RAKING" : (ALGORITHM == BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY) ? "BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY" : "BLOCK_REDUCE_WARP_REDUCTIONS",
gen_mode,
num_items,
BLOCK_THREADS, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z,
ITEMS_PER_THREAD,
tiles,
typeid(T).name(),
(int) sizeof(T));
fflush(stdout);
dim3 block_dims(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z);
FullTileReduceKernel<ALGORITHM, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z, ITEMS_PER_THREAD><<<1, block_dims>>>(
d_in,
d_out,
reduction_op,
tiles,
d_elapsed);
CubDebugExit(cudaPeekAtLastError());
CubDebugExit(cudaDeviceSynchronize());
// Copy out and display results
printf("\tReduction results: ");
int compare = CompareDeviceResults(h_reference, d_out, 1, g_verbose, g_verbose);
printf("%s
", compare ? "FAIL" : "PASS");
AssertEquals(0, compare);
printf("\tElapsed clocks: ");
DisplayDeviceResults(d_elapsed, 1);
// Cleanup
if (h_in) delete[] h_in;
if (d_in) CubDebugExit(g_allocator.DeviceFree(d_in));
if (d_out) CubDebugExit(g_allocator.DeviceFree(d_out));
if (d_elapsed) CubDebugExit(g_allocator.DeviceFree(d_elapsed));
}
/**
* Test full-tile reduction. (Specialized for insufficient resources)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
int ITEMS_PER_THREAD,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
int tiles,
ReductionOp reduction_op,
Int2Type<false> sufficient_resources)
{}
/**
* Test full-tile reduction.
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
int ITEMS_PER_THREAD,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
int tiles,
ReductionOp reduction_op)
{
// Check size of smem storage for the target arch to make sure it will fit
typedef BlockReduce<T, BLOCK_DIM_X, ALGORITHM, BLOCK_DIM_Y, BLOCK_DIM_Z, TEST_ARCH> BlockReduceT;
enum
{
#if defined(SM100) || defined(SM110) || defined(SM130)
sufficient_smem = (sizeof(typename BlockReduceT::TempStorage) <= 16 * 1024),
sufficient_threads = ((BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z) <= 512),
#else
sufficient_smem = (sizeof(typename BlockReduceT::TempStorage) <= 48 * 1024),
sufficient_threads = ((BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z) <= 1024),
#endif
};
TestFullTile<ALGORITHM, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z, ITEMS_PER_THREAD, T>(gen_mode, tiles, reduction_op, Int2Type<sufficient_smem && sufficient_threads>());
}
/**
* Run battery of tests for different thread block dimensions
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_THREADS,
int ITEMS_PER_THREAD,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
int tiles,
ReductionOp reduction_op)
{
TestFullTile<ALGORITHM, BLOCK_THREADS, 1, 1, ITEMS_PER_THREAD, T>(gen_mode, tiles, reduction_op);
TestFullTile<ALGORITHM, BLOCK_THREADS, 2, 2, ITEMS_PER_THREAD, T>(gen_mode, tiles, reduction_op);
}
/**
* Run battery of tests for different thread items
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_THREADS,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
int tiles,
ReductionOp reduction_op)
{
TestFullTile<ALGORITHM, BLOCK_THREADS, 1, T>(gen_mode, tiles, reduction_op);
TestFullTile<ALGORITHM, BLOCK_THREADS, 4, T>(gen_mode, tiles, reduction_op);
}
/**
* Run battery of full-tile tests for different numbers of tiles
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_THREADS,
typename T,
typename ReductionOp>
void TestFullTile(
GenMode gen_mode,
ReductionOp reduction_op)
{
for (int tiles = 1; tiles < 3; tiles++)
{
TestFullTile<ALGORITHM, BLOCK_THREADS, T>(gen_mode, tiles, reduction_op);
}
}
//---------------------------------------------------------------------
// Partial-tile test generation
//---------------------------------------------------------------------
/**
* Test partial-tile reduction. (Specialized for sufficient resources)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
typename T,
typename ReductionOp>
void TestPartialTile(
GenMode gen_mode,
int num_items,
ReductionOp reduction_op,
Int2Type<true> sufficient_resources)
{
const int BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z;
const int TILE_SIZE = BLOCK_THREADS;
// Allocate host arrays
T *h_in = new T[num_items];
T h_reference[1];
// Initialize problem
Initialize(gen_mode, h_in, h_reference, reduction_op, num_items);
// Initialize/clear device arrays
T *d_in = NULL;
T *d_out = NULL;
clock_t *d_elapsed = NULL;
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_elapsed, sizeof(unsigned long long)));
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_in, sizeof(T) * TILE_SIZE));
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_out, sizeof(T) * 1));
CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(T) * num_items, cudaMemcpyHostToDevice));
CubDebugExit(cudaMemset(d_out, 0, sizeof(T) * 1));
printf("TestPartialTile %s, gen-mode %d, num_items(%d), BLOCK_THREADS(%d) (%d,%d,%d), %s (%d bytes) elements:
",
(ALGORITHM == BLOCK_REDUCE_RAKING) ? "BLOCK_REDUCE_RAKING" : (ALGORITHM == BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY) ? "BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY" : "BLOCK_REDUCE_WARP_REDUCTIONS",
gen_mode,
num_items,
BLOCK_THREADS, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z,
typeid(T).name(),
(int) sizeof(T));
fflush(stdout);
dim3 block_dims(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z);
PartialTileReduceKernel<ALGORITHM, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z><<<1, block_dims>>>(
d_in,
d_out,
num_items,
reduction_op,
d_elapsed);
CubDebugExit(cudaPeekAtLastError());
CubDebugExit(cudaDeviceSynchronize());
// Copy out and display results
printf("\tReduction results: ");
int compare = CompareDeviceResults(h_reference, d_out, 1, g_verbose, g_verbose);
printf("%s
", compare ? "FAIL" : "PASS");
AssertEquals(0, compare);
printf("\tElapsed clocks: ");
DisplayDeviceResults(d_elapsed, 1);
// Cleanup
if (h_in) delete[] h_in;
if (d_in) CubDebugExit(g_allocator.DeviceFree(d_in));
if (d_out) CubDebugExit(g_allocator.DeviceFree(d_out));
if (d_elapsed) CubDebugExit(g_allocator.DeviceFree(d_elapsed));
}
/**
* Test partial-tile reduction (specialized for insufficient resources)
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
typename T,
typename ReductionOp>
void TestPartialTile(
GenMode gen_mode,
int num_items,
ReductionOp reduction_op,
Int2Type<false> sufficient_resources)
{}
/**
* Run battery of partial-tile tests for different numbers of effective threads and thread dimensions
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_DIM_X,
int BLOCK_DIM_Y,
int BLOCK_DIM_Z,
typename T,
typename ReductionOp>
void TestPartialTile(
GenMode gen_mode,
int num_items,
ReductionOp reduction_op)
{
// Check size of smem storage for the target arch to make sure it will fit
typedef BlockReduce<T, BLOCK_DIM_X, ALGORITHM, BLOCK_DIM_Y, BLOCK_DIM_Z, TEST_ARCH> BlockReduceT;
enum
{
#if defined(SM100) || defined(SM110) || defined(SM130)
sufficient_smem = sizeof(typename BlockReduceT::TempStorage) <= 16 * 1024,
sufficient_threads = (BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z) <= 512,
#else
sufficient_smem = sizeof(typename BlockReduceT::TempStorage) <= 48 * 1024,
sufficient_threads = (BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z) <= 1024,
#endif
};
TestPartialTile<ALGORITHM, BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z, T>(gen_mode, num_items, reduction_op, Int2Type<sufficient_smem && sufficient_threads>());
}
/**
* Run battery of partial-tile tests for different numbers of effective threads and thread dimensions
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_THREADS,
typename T,
typename ReductionOp>
void TestPartialTile(
GenMode gen_mode,
ReductionOp reduction_op)
{
for (
int num_items = 1;
num_items < BLOCK_THREADS;
num_items += CUB_MAX(1, BLOCK_THREADS / 5))
{
TestPartialTile<ALGORITHM, BLOCK_THREADS, 1, 1, T>(gen_mode, num_items, reduction_op);
TestPartialTile<ALGORITHM, BLOCK_THREADS, 2, 2, T>(gen_mode, num_items, reduction_op);
}
}
//---------------------------------------------------------------------
// Main
//---------------------------------------------------------------------
/**
* Run battery of full-tile tests for different gen modes
*/
template <
BlockReduceAlgorithm ALGORITHM,
int BLOCK_THREADS,
typename T,
typename ReductionOp>
void Test(
ReductionOp reduction_op)
{
TestFullTile<ALGORITHM, BLOCK_THREADS, T>(UNIFORM, reduction_op);
TestPartialTile<ALGORITHM, BLOCK_THREADS, T>(UNIFORM, reduction_op);
TestFullTile<ALGORITHM, BLOCK_THREADS, T>(INTEGER_SEED, reduction_op);
TestPartialTile<ALGORITHM, BLOCK_THREADS, T>(INTEGER_SEED, reduction_op);
if (Traits<T>::CATEGORY != FLOATING_POINT)
{
// Don't test randomly-generated floats b/c of stability
TestFullTile<ALGORITHM, BLOCK_THREADS, T>(RANDOM, reduction_op);
TestPartialTile<ALGORITHM, BLOCK_THREADS, T>(RANDOM, reduction_op);
}
}
/**
* Run battery of tests for different block-reduction algorithmic variants
*/
template <
int BLOCK_THREADS,
typename T,
typename ReductionOp>
void Test(
ReductionOp reduction_op)
{
#ifdef TEST_RAKING
Test<BLOCK_REDUCE_RAKING, BLOCK_THREADS, T>(reduction_op);
Test<BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY, BLOCK_THREADS, T>(reduction_op);
#endif
#ifdef TEST_WARP_REDUCTIONS
Test<BLOCK_REDUCE_WARP_REDUCTIONS, BLOCK_THREADS, T>(reduction_op);
#endif
}
/**
* Run battery of tests for different block sizes
*/
template <
typename T,
typename ReductionOp>
void Test(
ReductionOp reduction_op)
{
Test<7, T>(reduction_op);
Test<32, T>(reduction_op);
Test<63, T>(reduction_op);
Test<97, T>(reduction_op);
Test<128, T>(reduction_op);
Test<238, T>(reduction_op);
}
/**
* Run battery of tests for different block sizes
*/
template <typename T>
void Test()
{
Test<T>(Sum());
Test<T>(Max());
}
/**
* Main
*/
int main(int argc, char** argv)
{
// Initialize command line
CommandLineArgs args(argc, argv);
g_verbose = args.CheckCmdLineFlag("v");
args.GetCmdLineArgument("repeat", g_repeat);
// Print usage
if (args.CheckCmdLineFlag("help"))
{
printf("%s "
"[--device=<device-id>] "
"[--repeat=<repetitions of entire test suite>]"
"[--v] "
"
", argv[0]);
exit(0);
}
// Initialize device
CubDebugExit(args.DeviceInit());
// Get ptx version
int ptx_version;
CubDebugExit(PtxVersion(ptx_version));
#ifdef QUICK_TEST
// Compile/run quick tests
printf("
full tile ------------------------
");
TestFullTile<BLOCK_REDUCE_RAKING, 128, 1, 1, 4, int>(RANDOM, 1, Sum());
TestFullTile<BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY, 128, 1, 1, 4, int>(RANDOM, 1, Sum());
TestFullTile<BLOCK_REDUCE_WARP_REDUCTIONS, 128, 1, 1, 4, int>(RANDOM, 1, Sum());
TestFullTile<BLOCK_REDUCE_RAKING, 128, 1, 1, 1, int>(RANDOM, 1, Sum());
TestFullTile<BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY, 128, 1, 1, 1, int>(RANDOM, 1, Sum());
TestFullTile<BLOCK_REDUCE_WARP_REDUCTIONS, 128, 1, 1, 1, int>(RANDOM, 1, Sum());
printf("
partial tile ------------------------
");
TestPartialTile<BLOCK_REDUCE_RAKING, 128, 1, 1, int>(RANDOM, 7, Sum());
TestPartialTile<BLOCK_REDUCE_RAKING_COMMUTATIVE_ONLY, 128, 1, 1, int>(RANDOM, 7, Sum());
TestPartialTile<BLOCK_REDUCE_WARP_REDUCTIONS, 128, 1, 1, int>(RANDOM, 7, Sum());
#else
// Compile/run thorough tests
for (int i = 0; i <= g_repeat; ++i)
{
// primitives
Test<char>();
Test<short>();
Test<int>();
Test<long long>();
if (ptx_version > 120) // Don't check doubles on PTX120 or below because they're down-converted
Test<double>();
Test<float>();
// vector types
Test<char2>();
Test<short2>();
Test<int2>();
Test<longlong2>();
Test<char4>();
Test<short4>();
Test<int4>();
Test<longlong4>();
// Complex types
Test<TestFoo>();
Test<TestBar>();
}
#endif
return 0;
}
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