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@ -133,6 +133,12 @@
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#define EIGEN_HAS_VARIADIC_TEMPLATES 1
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#endif
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// Does the compiler support const expressions?
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#if (defined(__plusplus) && __cplusplus >= 201402L) || \
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EIGEN_GNUC_AT_LEAST(4,9)
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#define EIGEN_HAS_CONSTEXPR 1
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#endif
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/** Allows to disable some optimizations which might affect the accuracy of the result.
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* Such optimization are enabled by default, and set EIGEN_FAST_MATH to 0 to disable them.
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* They currently include:
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@ -10,7 +10,7 @@
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#ifndef EIGEN_CXX11_TENSOR_TENSOR_INDEX_LIST_H
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#define EIGEN_CXX11_TENSOR_TENSOR_INDEX_LIST_H
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#if __cplusplus > 199711L
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#ifdef EIGEN_HAS_CONSTEXPR
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namespace Eigen {
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@ -53,7 +53,7 @@ struct preserve_inner_most_dims {
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static const bool value = false;
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};
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#if __cplusplus > 199711L
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#ifdef EIGEN_HAS_CONSTEXPR
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template <typename ReducedDims, int NumTensorDims>
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struct are_inner_most_dims<ReducedDims, NumTensorDims, ColMajor>{
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static const bool value = indices_statically_known_to_increase<ReducedDims>()() &&
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@ -114,7 +114,15 @@ static void test_static_broadcasting()
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{
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Tensor<float, 3, DataLayout> tensor(8,3,5);
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tensor.setRandom();
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#ifdef EIGEN_HAS_CONSTEXPR
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Eigen::IndexList<Eigen::type2index<2>, Eigen::type2index<3>, Eigen::type2index<4>> broadcasts;
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#else
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Eigen::array<int, 3> broadcasts;
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broadcasts[0] = 2;
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broadcasts[1] = 3;
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broadcasts[2] = 4;
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#endif
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Tensor<float, 3, DataLayout> broadcast;
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broadcast = tensor.broadcast(broadcasts);
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@ -11,6 +11,7 @@
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#include <Eigen/CXX11/Tensor>
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#ifdef EIGEN_HAS_CONSTEXPR
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static void test_static_index_list()
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{
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@ -254,11 +255,14 @@ static void test_mixed_index_list()
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VERIFY_IS_APPROX(result3(0), expected);
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}
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#endif
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void test_cxx11_tensor_index_list()
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{
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#ifdef EIGEN_HAS_CONSTEXPR
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CALL_SUBTEST(test_static_index_list());
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CALL_SUBTEST(test_type2index_list());
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CALL_SUBTEST(test_dynamic_index_list());
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CALL_SUBTEST(test_mixed_index_list());
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#endif
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}
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@ -284,7 +284,7 @@ static void test_static_dims() {
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Tensor<float, 2, DataLayout> out(72, 97);
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in.setRandom();
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#if __cplusplus <= 199711L
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#ifndef EIGEN_HAS_CONSTEXPR
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array<int, 2> reduction_axis;
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reduction_axis[0] = 1;
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reduction_axis[1] = 3;
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@ -314,7 +314,7 @@ static void test_innermost_last_dims() {
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in.setRandom();
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// Reduce on the innermost dimensions.
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#if __cplusplus <= 199711L
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#ifndef EIGEN_HAS_CONSTEXPR
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array<int, 2> reduction_axis;
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reduction_axis[0] = 0;
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reduction_axis[1] = 1;
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@ -345,7 +345,7 @@ static void test_innermost_first_dims() {
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in.setRandom();
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// Reduce on the innermost dimensions.
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#if __cplusplus <= 199711L
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#ifndef EIGEN_HAS_CONSTEXPR
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array<int, 2> reduction_axis;
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reduction_axis[0] = 2;
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reduction_axis[1] = 3;
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@ -376,7 +376,7 @@ static void test_reduce_middle_dims() {
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in.setRandom();
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// Reduce on the innermost dimensions.
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#if __cplusplus <= 199711L
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#ifndef EIGEN_HAS_CONSTEXPR
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array<int, 2> reduction_axis;
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reduction_axis[0] = 1;
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reduction_axis[1] = 2;
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