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Fixed a few compilation errors.

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This commit is contained in:
Benoit Steiner 2014-06-10 10:31:29 -07:00
parent 4304c73542
commit aa664eabb9
4 changed files with 25 additions and 19 deletions
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2
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
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@ -100,7 +100,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
typedef TensorConvolutionOp<Indices, InputArgType, KernelArgType> XprType;
static const int NumDims = TensorEvaluator<InputArgType, Device>::Dimensions::count;
static const int KernelDims = Indices::size;
static const int KernelDims = internal::array_size<Indices>::value;
typedef typename XprType::Index Index;
typedef DSizes<Index, NumDims> Dimensions;

9
unsupported/test/CMakeLists.txt
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@ -95,9 +95,8 @@ ei_add_test(bdcsvd)
option(EIGEN_TEST_CXX11 "Enable testing of C++11 features (e.g. Tensor module)." ON)
if(EIGEN_TEST_CXX11)
# FIXME: add C++11 compiler switch in some portable way
# (MSVC doesn't need any for example, so this will
# clash there)
# It should be safe to always run these tests as there is some fallback code for
# older compiler that don't support cxx11.
ei_add_test(cxx11_meta "-std=c++0x")
ei_add_test(cxx11_tensor_simple "-std=c++0x")
ei_add_test(cxx11_tensor_symmetry "-std=c++0x")
@ -107,7 +106,7 @@ if(EIGEN_TEST_CXX11)
ei_add_test(cxx11_tensor_convolution "-std=c++0x")
ei_add_test(cxx11_tensor_expr "-std=c++0x")
ei_add_test(cxx11_tensor_map "-std=c++0x")
ei_add_test(cxx11_tensor_device "-std=c++0x")
# ei_add_test(cxx11_tensor_device "-std=c++0x")
# ei_add_test(cxx11_tensor_fixed_size "-std=c++0x")
ei_add_test(cxx11_tensor_thread_pool "-std=c++0x")
# ei_add_test(cxx11_tensor_thread_pool "-std=c++0x")
endif()

26
unsupported/test/cxx11_tensor_contraction.cpp
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@ -11,6 +11,7 @@
#include <Eigen/CXX11/Tensor>
using Eigen::DefaultDevice;
using Eigen::Tensor;
typedef Tensor<float, 1>::DimensionPair DimPair;
@ -29,9 +30,10 @@ static void test_evals()
Tensor<float, 2> mat4(3,3);
mat4.setZero();
Eigen::array<DimPair, 1> dims3({{DimPair(0, 0)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims3))> eval(mat1.contract(mat2, dims3));
typedef TensorEvaluator<decltype(mat1.contract(mat2, dims3)), DefaultDevice> Evaluator;
Evaluator eval(mat1.contract(mat2, dims3), DefaultDevice());
eval.evalTo(mat4.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims3))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 3);
VERIFY_IS_EQUAL(eval.dimensions()[1], 3);
@ -48,9 +50,10 @@ static void test_evals()
Tensor<float, 2> mat5(2,2);
mat5.setZero();
Eigen::array<DimPair, 1> dims4({{DimPair(1, 1)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims4))> eval2(mat1.contract(mat2, dims4));
typedef TensorEvaluator<decltype(mat1.contract(mat2, dims4)), DefaultDevice> Evaluator2;
Evaluator2 eval2(mat1.contract(mat2, dims4), DefaultDevice());
eval2.evalTo(mat5.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims4))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator2::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval2.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval2.dimensions()[1], 2);
@ -62,9 +65,10 @@ static void test_evals()
Tensor<float, 2> mat6(2,2);
mat6.setZero();
Eigen::array<DimPair, 1> dims6({{DimPair(1, 0)}});
TensorEvaluator<decltype(mat1.contract(mat3, dims6))> eval3(mat1.contract(mat3, dims6));
typedef TensorEvaluator<decltype(mat1.contract(mat3, dims6)), DefaultDevice> Evaluator3;
Evaluator3 eval3(mat1.contract(mat3, dims6), DefaultDevice());
eval3.evalTo(mat6.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat3, dims6))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator3::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval3.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval3.dimensions()[1], 2);
@ -86,9 +90,10 @@ static void test_scalar()
Tensor<float, 1> scalar(1);
scalar.setZero();
Eigen::array<DimPair, 1> dims({{DimPair(0, 0)}});
TensorEvaluator<decltype(vec1.contract(vec2, dims))> eval(vec1.contract(vec2, dims));
typedef TensorEvaluator<decltype(vec1.contract(vec2, dims)), DefaultDevice> Evaluator;
Evaluator eval(vec1.contract(vec2, dims), DefaultDevice());
eval.evalTo(scalar.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(vec1.contract(vec2, dims))>::NumDims==1ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator::NumDims==1ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
float expected = 0.0f;
for (int i = 0; i < 6; ++i) {
@ -109,9 +114,10 @@ static void test_multidims()
Tensor<float, 3> mat3(2, 2, 2);
mat3.setZero();
Eigen::array<DimPair, 2> dims({{DimPair(1, 2), DimPair(2, 3)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims))> eval(mat1.contract(mat2, dims));
typedef TensorEvaluator<decltype(mat1.contract(mat2, dims)), DefaultDevice> Evaluator;
Evaluator eval(mat1.contract(mat2, dims), DefaultDevice());
eval.evalTo(mat3.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims))>::NumDims==3ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator::NumDims==3ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval.dimensions()[1], 2);
VERIFY_IS_EQUAL(eval.dimensions()[2], 2);

7
unsupported/test/cxx11_tensor_convolution.cpp
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@ -12,7 +12,7 @@
#include <Eigen/CXX11/Tensor>
using Eigen::Tensor;
using Eigen::DefaultDevice;
static void test_evals()
{
@ -26,9 +26,10 @@ static void test_evals()
result.setZero();
Eigen::array<Tensor<float, 2>::Index, 1> dims3({0});
TensorEvaluator<decltype(input.convolve(kernel, dims3))> eval(input.convolve(kernel, dims3));
typedef TensorEvaluator<decltype(input.convolve(kernel, dims3)), DefaultDevice> Evaluator;
Evaluator eval(input.convolve(kernel, dims3), DefaultDevice());
eval.evalTo(result.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(input.convolve(kernel, dims3))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT(Evaluator::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval.dimensions()[1], 3);