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// cudamatrix/cu-device-test.cc
// Copyright 2015 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-matrix.h"
#include "cudamatrix/cu-vector.h"
using namespace kaldi;
namespace kaldi {
template<typename Real>
std::string NameOf() {
return (sizeof(Real) == 8 ? "<double>" : "<float>");
}
template<typename Real> void TestCuMatrixResize(int32 size_multiple) {
int32 num_matrices = 256;
BaseFloat time_in_secs = 0.2;
std::vector<std::pair<int32, int32> > sizes(num_matrices);
for (int32 i = 0; i < num_matrices; i++) {
int32 num_rows = RandInt(1, 10);
num_rows *= num_rows;
num_rows *= size_multiple;
int32 num_cols = RandInt(1, 10);
num_cols *= num_cols;
num_cols *= size_multiple;
sizes[i].first = num_rows;
sizes[i].second = num_rows;
}
std::vector<CuMatrix<BaseFloat> > matrices(num_matrices);
Timer tim;
size_t num_floats_processed = 0;
for (;tim.Elapsed() < time_in_secs; ) {
int32 matrix = RandInt(0, num_matrices - 1);
if (matrices[matrix].NumRows() == 0) {
int32 num_rows = sizes[matrix].first,
num_cols = sizes[matrix].second;
matrices[matrix].Resize(num_rows, num_cols, kUndefined);
num_floats_processed += num_rows * num_cols;
} else {
matrices[matrix].Resize(0, 0);
}
}
BaseFloat gflops = num_floats_processed / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Resize" << NameOf<Real>() << ", for size_multiple = "
<< size_multiple << ", speed was " << gflops << " gigaflops.";
}
template <typename Real>
void CudaMatrixResizeTest() {
std::vector<int32> sizes;
sizes.push_back(1);
sizes.push_back(2);
sizes.push_back(4);
sizes.push_back(8);
sizes.push_back(16);
//sizes.push_back(24);
//sizes.push_back(32);
//sizes.push_back(40);
int32 ns = sizes.size();
for (int32 s = 0; s < ns; s++)
TestCuMatrixResize<Real>(sizes[s]);
}
} // namespace kaldi
int main() {
SetVerboseLevel(1);
#if HAVE_CUDA == 1
for (int32 loop = 0; loop < 2; loop++) {
CuDevice::Instantiate().SetDebugStrideMode(true);
if (loop == 0)
CuDevice::Instantiate().SelectGpuId("no");
else
CuDevice::Instantiate().SelectGpuId("yes");
#endif
kaldi::CudaMatrixResizeTest<float>();
#if HAVE_CUDA == 1
if (CuDevice::Instantiate().DoublePrecisionSupported()) {
kaldi::CudaMatrixResizeTest<double>();
} else {
KALDI_WARN << "Double precision not supported";
}
#else
kaldi::CudaMatrixResizeTest<double>();
#endif
#if HAVE_CUDA == 1
}
CuDevice::Instantiate().PrintProfile();
#endif
KALDI_LOG << "Tests succeeded.";
}
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