cu-array-test.cc
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// cudamatrix/cu-array-test.cc
// Copyright 2013 Johns Hopkins University (author: Daniel Povey)
// See ../../COPYING for clarification regarding multiple authors
//
// 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
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#include <iostream>
#include <vector>
#include <cstdlib>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "cudamatrix/cu-array.h"
using namespace kaldi;
namespace kaldi {
template<class T>
void AssertEqual(const std::vector<T> &vec1,
const std::vector<T> &vec2) {
// use this instead of "vec1 == vec2" because
// for doubles and floats, this can fail if we
// have NaNs, even if identical.
KALDI_ASSERT(vec1.size() == vec2.size());
if (vec1.size() > 0) {
const char *p1 = reinterpret_cast<const char*>(&(vec1[0]));
const char *p2 = reinterpret_cast<const char*>(&(vec2[0]));
size_t size = sizeof(T) * vec1.size();
for (size_t i = 0; i < size; i++)
KALDI_ASSERT(p1[i] == p2[i]);
}
}
template<class T>
static void UnitTestCuArray() {
for (int32 i = 0; i < 30; i++) {
int32 size = Rand() % 5;
size = size * size * size; // Have a good distribution of sizes, including >256.
int32 size2 = Rand() % 4;
std::vector<T> vec(size);
std::vector<T> garbage_vec(size2); // We just use garbage_vec to make sure
// we sometimes resize from empty,
// sometimes not.
int32 byte_size = size * sizeof(T);
std::vector<char> rand_c(byte_size);
for (size_t i = 0; i < byte_size; i++)
rand_c[i] = Rand() % 256;
if (!vec.empty()) {
std::memcpy((void*)&(vec[0]), (void*)&(rand_c[0]),
byte_size);
}
{ // test constructor from vector and CopyToVec.
CuArray<T> cu_vec(vec);
std::vector<T> vec2;
cu_vec.CopyToVec(&vec2);
T *vec22 = new T[vec.size()];
cu_vec.CopyToHost(vec22);
delete[] vec22;
}
{ // test assignment operator from CuArray.
CuArray<T> cu_vec(vec);
CuArray<T> cu_vec2(garbage_vec);
cu_vec2 = cu_vec;
std::vector<T> vec2;
cu_vec2.CopyToVec(&vec2);
AssertEqual(vec, vec2);
KALDI_ASSERT(cu_vec2.Dim() == int32(vec2.size())); // test Dim()
}
{ // test resize with resize_type = kSetZero.
CuArray<T> cu_vec(vec);
cu_vec.Resize(size, kSetZero);
std::vector<T> vec2(vec);
if (!vec2.empty())
std::memset(&(vec2[0]), 0, vec2.size() * sizeof(T));
std::vector<T> vec3;
cu_vec.CopyToVec(&vec3);
AssertEqual(vec2, vec3); // testing equality of zero arrays.
}
if (sizeof(T) == sizeof(int32) && size > 0) { // test Set for type int32, or same size.
CuArray<T> cu_vec(vec);
cu_vec.Set(vec[0]);
for (size_t i = 1; i < vec.size(); i++) vec[i] = vec[0];
std::vector<T> vec2;
cu_vec.CopyToVec(&vec2);
AssertEqual(vec, vec2);
}
}
}
} // namespace kaldi
int main() {
SetVerboseLevel(1);
int32 loop = 0;
#if HAVE_CUDA == 1
for (; loop < 2; loop++) {
CuDevice::Instantiate().SetDebugStrideMode(true);
if (loop == 0)
CuDevice::Instantiate().SelectGpuId("no");
else
CuDevice::Instantiate().SelectGpuId("yes");
#endif
//kaldi::UnitTestCuArray<float>();
kaldi::UnitTestCuArray<double>();
kaldi::UnitTestCuArray<int32>();
kaldi::UnitTestCuArray<std::pair<int32, int32> >();
if (loop == 0)
KALDI_LOG << "Tests without GPU use succeeded.";
else
KALDI_LOG << "Tests with GPU use (if available) succeeded.";
#if HAVE_CUDA == 1
}
CuDevice::Instantiate().PrintProfile();
#endif
return 0;
}