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Made the supression of unused variables portable.
EIGEN_UNUSED is not supported on non GCC systems.
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@ -160,7 +160,8 @@ static void run(Index rows, Index cols, Index depth,
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else
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#endif // EIGEN_HAS_OPENMP
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{
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(void)info; // info is not used
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EIGEN_UNUSED_VARIABLE(info);
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// this is the sequential version!
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Scalar* blockA = ei_aligned_stack_new(Scalar, kc*mc);
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std::size_t sizeB = kc*Blocking::PacketSize*Blocking::nr + kc*cols;
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@ -176,6 +176,9 @@
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#define EIGEN_UNUSED
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#endif
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// Suppresses 'unused variable' warnings.
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#define EIGEN_UNUSED_VARIABLE(var) (void)var;
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#if (defined __GNUC__)
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#define EIGEN_ASM_COMMENT(X) asm("#"X)
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#else
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@ -218,7 +218,7 @@ inline void ei_aligned_free(void *ptr)
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**/
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inline void* ei_aligned_realloc(void *ptr, size_t new_size, size_t old_size)
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{
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(void)old_size; // Suppress 'unused variable' warning. Seen in boost tee.
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EIGEN_UNUSED_VARIABLE(old_size);
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void *result;
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#if !EIGEN_ALIGN
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@ -382,9 +382,9 @@ struct ei_sparse_product_selector2<Lhs,Rhs,ResultType,RowMajor,ColMajor,ColMajor
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static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
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{
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// prevent warnings until the code is fixed
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(void) lhs;
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(void) rhs;
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(void) res;
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EIGEN_UNUSED_VARIABLE(lhs);
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EIGEN_UNUSED_VARIABLE(rhs);
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EIGEN_UNUSED_VARIABLE(res);
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// typedef SparseMatrix<typename ResultType::Scalar,RowMajor> RowMajorMatrix;
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// RowMajorMatrix rhsRow = rhs;
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@ -34,9 +34,8 @@ void test_first_aligned_helper(Scalar *array, int size)
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template<typename Scalar>
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void test_none_aligned_helper(Scalar *array, int size)
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{
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// Suppress 'unreferenced formal parameter's warnings.
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(void)array;
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(void)size;
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EIGEN_UNUSED_VARIABLE(array);
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EIGEN_UNUSED_VARIABLE(size);
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VERIFY(ei_packet_traits<Scalar>::size == 1 || ei_first_aligned(array, size) == size);
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}
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@ -235,8 +235,8 @@ void test_triangular()
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{
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for(int i = 0; i < g_repeat ; i++)
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{
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EIGEN_UNUSED int r = ei_random<int>(2,20);
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EIGEN_UNUSED int c = ei_random<int>(2,20);
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int r = ei_random<int>(2,20); EIGEN_UNUSED_VARIABLE(r);
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int c = ei_random<int>(2,20); EIGEN_UNUSED_VARIABLE(c);
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CALL_SUBTEST_1( triangular_square(Matrix<float, 1, 1>()) );
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CALL_SUBTEST_2( triangular_square(Matrix<float, 2, 2>()) );
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