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src/cudamatrix/cu-sp-matrix-speed-test.cc 3.96 KB
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8dcb6dfcb   Yannick Estève   first commit 
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  // cudamatrix/cu-sp-matrix-speed-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-matrix.h"
  #include "cudamatrix/cu-vector.h"
  #include "cudamatrix/cu-math.h"
  #include "cudamatrix/cu-sp-matrix.h"
  
  using namespace kaldi;
  
  
  namespace kaldi {
  
  template<typename Real>
  std::string NameOf() {
    return (sizeof(Real) == 8 ? "<double>" : "<float>");
  }
  
  template<typename Real>
  static void UnitTestCuSpMatrixInvert(int32 dim) {
    BaseFloat time_in_secs = 0.01;
    int32 iter = 0;
    Timer tim;
    CuSpMatrix<Real> A(dim);
    A.SetRandn();
    for (;tim.Elapsed() < time_in_secs; iter++) {
      KALDI_ASSERT(A.Trace() != 0.0); // true with probability 1...
      CuSpMatrix<Real> B(A);
  
      if (iter  > 0) {
        B.Invert();
      } else { // do some more testing...
  
        CuMatrix<Real> D(A);
        A.AddMat2(1.0, D, kTrans, 1.0);
        A.AddToDiag(0.1 * dim);
  
        CuMatrix<Real> C(B);
        B.AddMat2(1.0, C, kTrans, 1.0);
        B.AddToDiag(0.1 * dim);
  
        A.Invert();
        B.Invert();
  
        SpMatrix<Real> E(dim);
        B.CopyToSp(&E);
  
        SpMatrix<Real> A2(A);
        AssertEqual(A2, E);
      }
    }
    BaseFloat fdim = dim;
    BaseFloat gflops = (fdim * fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
    KALDI_LOG << "For CuSpMatrix::Invert" << NameOf<Real>() << ", for dim = "
              << dim << ", speed was " << gflops << " gigaflops.";
  }
  
  
  
  template<typename Real>
  static void UnitTestCuSpMatrixCopyFromMat(int32 dim, SpCopyType copy_type) {
    BaseFloat time_in_secs = 0.01;
    int32 iter = 0;
    Timer tim;
    CuMatrix<Real> A(dim, dim);
    CuSpMatrix<Real> S(dim);
  
    for (;tim.Elapsed() < time_in_secs; iter++) {
      S.CopyFromMat(A, copy_type);
    }
    BaseFloat fdim = dim;
    BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
    KALDI_LOG << "For CuSpMatrix::CopyFromMat" << NameOf<Real>()
              << ", with copy-type "
              <<(copy_type == kTakeLower ? "kTakeLower" :
                 (copy_type == kTakeUpper ? "kTakeUpper" :
                  "kTakeMeanAndCheck")) << " and dim = "
              << dim << ", speed was " << gflops << " gigaflops.";
  }
  
  
  
  
  template<typename Real> void CuSpMatrixSpeedTest() {
    std::vector<int32> sizes;
    sizes.push_back(16);
    sizes.push_back(32);
    sizes.push_back(64);
    sizes.push_back(128);
    sizes.push_back(256);
    sizes.push_back(512);
    sizes.push_back(1024);
    int32 ns = sizes.size();
  
    for (int32 s = 0; s < ns; s++) {
      UnitTestCuSpMatrixInvert<Real>(sizes[s]);
      UnitTestCuSpMatrixCopyFromMat<Real>(sizes[s], kTakeLower);
      UnitTestCuSpMatrixCopyFromMat<Real>(sizes[s], kTakeUpper);
      UnitTestCuSpMatrixCopyFromMat<Real>(sizes[s], kTakeMean);
    }
  }
  
  
  } // namespace kaldi
  
  
  int main() {
    SetVerboseLevel(1);
    //Select the GPU
  #if HAVE_CUDA == 1
    CuDevice::Instantiate().SelectGpuId("yes"); //-2 .. automatic selection
  #endif
  
    kaldi::CuSpMatrixSpeedTest<float>();
  #if HAVE_CUDA == 1
    if (CuDevice::Instantiate().DoublePrecisionSupported()) {
      kaldi::CuSpMatrixSpeedTest<double>();
    } else {
      KALDI_WARN << "Double precision not supported";
    }
  #else
    kaldi::CuSpMatrixSpeedTest<double>();
  #endif
  #if HAVE_CUDA == 1
    CuDevice::Instantiate().PrintProfile();
  #endif
    KALDI_LOG << "Tests succeeded.";
  }