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Workaround "misleading-indentation" warnings

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This commit is contained in:
Christoph Hertzberg 2016-05-11 08:41:36 +02:00
parent 4ede059de1
commit 3bfc9b47ca
2 changed files with 13 additions and 12 deletions
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16
Eigen/src/SparseLU/SparseLU_gemm_kernel.h
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@ -72,14 +72,14 @@ void sparselu_gemm(Index m, Index n, Index d, const Scalar* A, Index lda, const
// load and expand a RN x RK block of B // load and expand a RN x RK block of B
Packet b00, b10, b20, b30, b01, b11, b21, b31; Packet b00, b10, b20, b30, b01, b11, b21, b31;
b00 = pset1<Packet>(Bc0[0]); { b00 = pset1<Packet>(Bc0[0]); }
b10 = pset1<Packet>(Bc0[1]); { b10 = pset1<Packet>(Bc0[1]); }
if(RK==4) b20 = pset1<Packet>(Bc0[2]); if(RK==4) { b20 = pset1<Packet>(Bc0[2]); }
if(RK==4) b30 = pset1<Packet>(Bc0[3]); if(RK==4) { b30 = pset1<Packet>(Bc0[3]); }
b01 = pset1<Packet>(Bc1[0]); { b01 = pset1<Packet>(Bc1[0]); }
b11 = pset1<Packet>(Bc1[1]); { b11 = pset1<Packet>(Bc1[1]); }
if(RK==4) b21 = pset1<Packet>(Bc1[2]); if(RK==4) { b21 = pset1<Packet>(Bc1[2]); }
if(RK==4) b31 = pset1<Packet>(Bc1[3]); if(RK==4) { b31 = pset1<Packet>(Bc1[3]); }
Packet a0, a1, a2, a3, c0, c1, t0, t1; Packet a0, a1, a2, a3, c0, c1, t0, t1;

9
lapack/svd.cpp
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@ -124,14 +124,15 @@ EIGEN_LAPACK_FUNC(gesvd,(char *jobu, char *jobv, int *m, int* n, Scalar* a, int
JacobiSVD<PlainMatrixType> svd(mat,option); JacobiSVD<PlainMatrixType> svd(mat,option);
make_vector(s,diag_size) = svd.singularValues().head(diag_size); make_vector(s,diag_size) = svd.singularValues().head(diag_size);
{
if(*jobu=='A') matrix(u,*m,*m,*ldu) = svd.matrixU(); if(*jobu=='A') matrix(u,*m,*m,*ldu) = svd.matrixU();
else if(*jobu=='S') matrix(u,*m,diag_size,*ldu) = svd.matrixU(); else if(*jobu=='S') matrix(u,*m,diag_size,*ldu) = svd.matrixU();
else if(*jobu=='O') matrix(a,*m,diag_size,*lda) = svd.matrixU(); else if(*jobu=='O') matrix(a,*m,diag_size,*lda) = svd.matrixU();
}
{
if(*jobv=='A') matrix(vt,*n,*n,*ldvt) = svd.matrixV().adjoint(); if(*jobv=='A') matrix(vt,*n,*n,*ldvt) = svd.matrixV().adjoint();
else if(*jobv=='S') matrix(vt,diag_size,*n,*ldvt) = svd.matrixV().adjoint(); else if(*jobv=='S') matrix(vt,diag_size,*n,*ldvt) = svd.matrixV().adjoint();
else if(*jobv=='O') matrix(a,diag_size,*n,*lda) = svd.matrixV().adjoint(); else if(*jobv=='O') matrix(a,diag_size,*n,*lda) = svd.matrixV().adjoint();
}
return 0; return 0;
} }