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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-12 11:11:40 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-12 11:11:40 -0800
commit42673c3a588ce4cc20b02ab20e5e9d38b64a3cb4 (patch)
tree1545b8e2411a774728685a4da519058897d49ee5 /third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h
parentccf01f9d77b28b649777f5a937a295f6dee2a130 (diff)
Deleted the remainder of the local copy of eigen that is shipped with
TensorFlow.
Diffstat (limited to 'third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h')
-rw-r--r--third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h94
1 files changed, 0 insertions, 94 deletions
diff --git a/third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h b/third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h
deleted file mode 100644
index 91496ae5bd..0000000000
--- a/third_party/eigen3/Eigen/src/Eigenvalues/ComplexSchur_MKL.h
+++ /dev/null
@@ -1,94 +0,0 @@
-/*
- Copyright (c) 2011, Intel Corporation. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this
- list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
- * Neither the name of Intel Corporation nor the names of its contributors may
- be used to endorse or promote products derived from this software without
- specific prior written permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
- ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
- ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
- ********************************************************************************
- * Content : Eigen bindings to Intel(R) MKL
- * Complex Schur needed to complex unsymmetrical eigenvalues/eigenvectors.
- ********************************************************************************
-*/
-
-#ifndef EIGEN_COMPLEX_SCHUR_MKL_H
-#define EIGEN_COMPLEX_SCHUR_MKL_H
-
-#include "Eigen/src/Core/util/MKL_support.h"
-
-namespace Eigen {
-
-/** \internal Specialization for the data types supported by MKL */
-
-#define EIGEN_MKL_SCHUR_COMPLEX(EIGTYPE, MKLTYPE, MKLPREFIX, MKLPREFIX_U, EIGCOLROW, MKLCOLROW) \
-template<> inline \
-ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
-ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
-{ \
- typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> MatrixType; \
- typedef MatrixType::Scalar Scalar; \
- typedef MatrixType::RealScalar RealScalar; \
- typedef std::complex<RealScalar> ComplexScalar; \
-\
- eigen_assert(matrix.cols() == matrix.rows()); \
-\
- m_matUisUptodate = false; \
- if(matrix.cols() == 1) \
- { \
- m_matT = matrix.cast<ComplexScalar>(); \
- if(computeU) m_matU = ComplexMatrixType::Identity(1,1); \
- m_info = Success; \
- m_isInitialized = true; \
- m_matUisUptodate = computeU; \
- return *this; \
- } \
- lapack_int n = matrix.cols(), sdim, info; \
- lapack_int lda = matrix.outerStride(); \
- lapack_int matrix_order = MKLCOLROW; \
- char jobvs, sort='N'; \
- LAPACK_##MKLPREFIX_U##_SELECT1 select = 0; \
- jobvs = (computeU) ? 'V' : 'N'; \
- m_matU.resize(n, n); \
- lapack_int ldvs = m_matU.outerStride(); \
- m_matT = matrix; \
- Matrix<EIGTYPE, Dynamic, Dynamic> w; \
- w.resize(n, 1);\
- info = LAPACKE_##MKLPREFIX##gees( matrix_order, jobvs, sort, select, n, (MKLTYPE*)m_matT.data(), lda, &sdim, (MKLTYPE*)w.data(), (MKLTYPE*)m_matU.data(), ldvs ); \
- if(info == 0) \
- m_info = Success; \
- else \
- m_info = NoConvergence; \
-\
- m_isInitialized = true; \
- m_matUisUptodate = computeU; \
- return *this; \
-\
-}
-
-EIGEN_MKL_SCHUR_COMPLEX(dcomplex, MKL_Complex16, z, Z, ColMajor, LAPACK_COL_MAJOR)
-EIGEN_MKL_SCHUR_COMPLEX(scomplex, MKL_Complex8, c, C, ColMajor, LAPACK_COL_MAJOR)
-EIGEN_MKL_SCHUR_COMPLEX(dcomplex, MKL_Complex16, z, Z, RowMajor, LAPACK_ROW_MAJOR)
-EIGEN_MKL_SCHUR_COMPLEX(scomplex, MKL_Complex8, c, C, RowMajor, LAPACK_ROW_MAJOR)
-
-} // end namespace Eigen
-
-#endif // EIGEN_COMPLEX_SCHUR_MKL_H