mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-03-13 18:37:27 +08:00
Merge with upstream.
This commit is contained in:
commit
225fa112aa
@ -15,6 +15,7 @@
|
||||
#define ALIGNMENT 1
|
||||
#endif
|
||||
|
||||
typedef Matrix<float,16,1> Vector16f;
|
||||
typedef Matrix<float,8,1> Vector8f;
|
||||
|
||||
void check_handmade_aligned_malloc()
|
||||
@ -70,7 +71,7 @@ struct MyStruct
|
||||
{
|
||||
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
|
||||
char dummychar;
|
||||
Vector8f avec;
|
||||
Vector16f avec;
|
||||
};
|
||||
|
||||
class MyClassA
|
||||
@ -78,7 +79,7 @@ class MyClassA
|
||||
public:
|
||||
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
|
||||
char dummychar;
|
||||
Vector8f avec;
|
||||
Vector16f avec;
|
||||
};
|
||||
|
||||
template<typename T> void check_dynaligned()
|
||||
@ -145,6 +146,7 @@ EIGEN_DECLARE_TEST(dynalloc)
|
||||
CALL_SUBTEST(check_dynaligned<Vector4d>() );
|
||||
CALL_SUBTEST(check_dynaligned<Vector4i>() );
|
||||
CALL_SUBTEST(check_dynaligned<Vector8f>() );
|
||||
CALL_SUBTEST(check_dynaligned<Vector16f>() );
|
||||
}
|
||||
|
||||
{
|
||||
|
@ -50,7 +50,13 @@ static void test_static_dimension_failure()
|
||||
.reshape(Tensor<int, 3>::Dimensions(2, 3, 1))
|
||||
.concatenate(right, 0);
|
||||
Tensor<int, 2, DataLayout> alternative = left
|
||||
.concatenate(right.reshape(Tensor<int, 2>::Dimensions{{{2, 3}}}), 0);
|
||||
// Clang compiler break with {{{}}} with an ambigous error on copy constructor
|
||||
// the variadic DSize constructor added for #ifndef EIGEN_EMULATE_CXX11_META_H.
|
||||
// Solution:
|
||||
// either the code should change to
|
||||
// Tensor<int, 2>::Dimensions{{2, 3}}
|
||||
// or Tensor<int, 2>::Dimensions{Tensor<int, 2>::Dimensions{{2, 3}}}
|
||||
.concatenate(right.reshape(Tensor<int, 2>::Dimensions{{2, 3}}), 0);
|
||||
}
|
||||
|
||||
template<int DataLayout>
|
||||
|
@ -37,7 +37,7 @@ static void test_all_dimensions_trace() {
|
||||
VERIFY_IS_EQUAL(result1(), sum);
|
||||
|
||||
Tensor<float, 5, DataLayout> tensor2(7, 7, 7, 7, 7);
|
||||
array<ptrdiff_t, 5> dims({{2, 1, 0, 3, 4}});
|
||||
array<ptrdiff_t, 5> dims = { { 2, 1, 0, 3, 4 } };
|
||||
Tensor<float, 0, DataLayout> result2 = tensor2.trace(dims);
|
||||
VERIFY_IS_EQUAL(result2.rank(), 0);
|
||||
sum = 0.0f;
|
||||
@ -52,7 +52,7 @@ template <int DataLayout>
|
||||
static void test_simple_trace() {
|
||||
Tensor<float, 3, DataLayout> tensor1(3, 5, 3);
|
||||
tensor1.setRandom();
|
||||
array<ptrdiff_t, 2> dims1({{0, 2}});
|
||||
array<ptrdiff_t, 2> dims1 = { { 0, 2 } };
|
||||
Tensor<float, 1, DataLayout> result1 = tensor1.trace(dims1);
|
||||
VERIFY_IS_EQUAL(result1.rank(), 1);
|
||||
VERIFY_IS_EQUAL(result1.dimension(0), 5);
|
||||
@ -67,7 +67,7 @@ static void test_simple_trace() {
|
||||
|
||||
Tensor<float, 4, DataLayout> tensor2(5, 5, 7, 7);
|
||||
tensor2.setRandom();
|
||||
array<ptrdiff_t, 2> dims2({{2, 3}});
|
||||
array<ptrdiff_t, 2> dims2 = { { 2, 3 } };
|
||||
Tensor<float, 2, DataLayout> result2 = tensor2.trace(dims2);
|
||||
VERIFY_IS_EQUAL(result2.rank(), 2);
|
||||
VERIFY_IS_EQUAL(result2.dimension(0), 5);
|
||||
@ -82,7 +82,7 @@ static void test_simple_trace() {
|
||||
}
|
||||
}
|
||||
|
||||
array<ptrdiff_t, 2> dims3({{1, 0}});
|
||||
array<ptrdiff_t, 2> dims3 = { { 1, 0 } };
|
||||
Tensor<float, 2, DataLayout> result3 = tensor2.trace(dims3);
|
||||
VERIFY_IS_EQUAL(result3.rank(), 2);
|
||||
VERIFY_IS_EQUAL(result3.dimension(0), 7);
|
||||
@ -99,7 +99,7 @@ static void test_simple_trace() {
|
||||
|
||||
Tensor<float, 5, DataLayout> tensor3(3, 7, 3, 7, 3);
|
||||
tensor3.setRandom();
|
||||
array<ptrdiff_t, 3> dims4({{0, 2, 4}});
|
||||
array<ptrdiff_t, 3> dims4 = { { 0, 2, 4 } };
|
||||
Tensor<float, 2, DataLayout> result4 = tensor3.trace(dims4);
|
||||
VERIFY_IS_EQUAL(result4.rank(), 2);
|
||||
VERIFY_IS_EQUAL(result4.dimension(0), 7);
|
||||
@ -116,7 +116,7 @@ static void test_simple_trace() {
|
||||
|
||||
Tensor<float, 5, DataLayout> tensor4(3, 7, 4, 7, 5);
|
||||
tensor4.setRandom();
|
||||
array<ptrdiff_t, 2> dims5({{1, 3}});
|
||||
array<ptrdiff_t, 2> dims5 = { { 1, 3 } };
|
||||
Tensor<float, 3, DataLayout> result5 = tensor4.trace(dims5);
|
||||
VERIFY_IS_EQUAL(result5.rank(), 3);
|
||||
VERIFY_IS_EQUAL(result5.dimension(0), 3);
|
||||
@ -140,7 +140,7 @@ template<int DataLayout>
|
||||
static void test_trace_in_expr() {
|
||||
Tensor<float, 4, DataLayout> tensor(2, 3, 5, 3);
|
||||
tensor.setRandom();
|
||||
array<ptrdiff_t, 2> dims({{1, 3}});
|
||||
array<ptrdiff_t, 2> dims = { { 1, 3 } };
|
||||
Tensor<float, 2, DataLayout> result(2, 5);
|
||||
result = result.constant(1.0f) - tensor.trace(dims);
|
||||
VERIFY_IS_EQUAL(result.rank(), 2);
|
||||
@ -168,4 +168,4 @@ EIGEN_DECLARE_TEST(cxx11_tensor_trace) {
|
||||
CALL_SUBTEST(test_simple_trace<RowMajor>());
|
||||
CALL_SUBTEST(test_trace_in_expr<ColMajor>());
|
||||
CALL_SUBTEST(test_trace_in_expr<RowMajor>());
|
||||
}
|
||||
}
|
Loading…
x
Reference in New Issue
Block a user