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nnet-precondition-test.cc
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nnet-precondition-test.cc
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// nnet2/nnet-precondition-test.cc
// Copyright 2012 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 "nnet2/nnet-precondition.h"
#include "util/common-utils.h"
namespace kaldi {
namespace nnet2 {
void UnitTestPreconditionDirections() {
MatrixIndexT N = 2 + Rand() % 30,
D = 1 + Rand() % 20;
BaseFloat lambda = 0.1;
CuMatrix<BaseFloat> R(N, D), P(N, D);
R.SetRandn();
P.SetRandn(); // contents should be overwritten.
PreconditionDirections(R, lambda, &P);
// The rest of this function will do the computation the function is doing in
// a different, less efficient way and compare with the function call.
CuSpMatrix<BaseFloat> G(D);
G.SetUnit();
G.ScaleDiag(lambda);
// G += R^T R.
G.AddMat2(1.0/(N-1), R, kTrans, 1.0);
for (int32 n = 0; n < N; n++) {
CuSubVector<BaseFloat> rn(R, n);
CuSpMatrix<BaseFloat> Gn(G);
Gn.AddVec2(-1.0/(N-1), rn); // subtract the
// outer product of "this" vector.
Gn.Invert();
CuSubVector<BaseFloat> pn(P, n);
CuVector<BaseFloat> pn_compare(D);
pn_compare.AddSpVec(1.0, Gn, rn, 0.0);
KALDI_ASSERT(pn.ApproxEqual(pn_compare, 0.1));
}
}
} // namespace nnet2
} // namespace kaldi
int main() {
using namespace kaldi;
using namespace kaldi::nnet2;
for (int32 i = 0; i < 10; i++)
UnitTestPreconditionDirections();
}