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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-01-16 09:09:23 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-01-16 09:09:23 -0800
commit14f537c296710173c76379d8efec59bfb1d78eb7 (patch)
tree896ee4bf9c776ae7aa6dda0e5de643d58f7f203c /unsupported/test
parent641e824c56db8fffb2f6091d18f913e040c1ea95 (diff)
gcc doesn't consider that
template<typename OtherDerived> TensorStridingOp& operator = (const OtherDerived& other) provides a valid assignment operator for the striding operation, and therefore refuses to compile code like: result.stride(foo) = source.stride(bar); Added the explicit TensorStridingOp& operator = (const TensorStridingOp& other) as a workaround to get the code to compile, and did the same in all the operations that can be used as lvalues.
Diffstat (limited to 'unsupported/test')
-rw-r--r--unsupported/test/cxx11_tensor_chipping.cpp21
-rw-r--r--unsupported/test/cxx11_tensor_morphing.cpp13
-rw-r--r--unsupported/test/cxx11_tensor_shuffling.cpp17
-rw-r--r--unsupported/test/cxx11_tensor_striding.cpp18
4 files changed, 69 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_chipping.cpp b/unsupported/test/cxx11_tensor_chipping.cpp
index 0de7bbac6..d83417872 100644
--- a/unsupported/test/cxx11_tensor_chipping.cpp
+++ b/unsupported/test/cxx11_tensor_chipping.cpp
@@ -318,8 +318,29 @@ static void test_chip_as_lvalue()
}
}
}
+
+ Tensor<float, 5, DataLayout> input7(2,3,5,7,11);
+ input7.setRandom();
+ tensor = input1;
+ tensor.chip(0, 0) = input7.chip(0, 0);
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 3; ++j) {
+ for (int k = 0; k < 5; ++k) {
+ for (int l = 0; l < 7; ++l) {
+ for (int m = 0; m < 11; ++m) {
+ if (i != 0) {
+ VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
+ } else {
+ VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input7(i,j,k,l,m));
+ }
+ }
+ }
+ }
+ }
+ }
}
+
template<int DataLayout>
static void test_chip_raw_data()
{
diff --git a/unsupported/test/cxx11_tensor_morphing.cpp b/unsupported/test/cxx11_tensor_morphing.cpp
index b4b0a55b6..7fd7a283a 100644
--- a/unsupported/test/cxx11_tensor_morphing.cpp
+++ b/unsupported/test/cxx11_tensor_morphing.cpp
@@ -161,6 +161,8 @@ static void test_slice_as_lvalue()
tensor3.setRandom();
Tensor<float, 3, DataLayout> tensor4(4,3,2);
tensor4.setRandom();
+ Tensor<float, 3, DataLayout> tensor5(10,13,12);
+ tensor5.setRandom();
Tensor<float, 3, DataLayout> result(4,5,7);
Eigen::DSizes<ptrdiff_t, 3> sizes12(2,2,7);
@@ -195,6 +197,17 @@ static void test_slice_as_lvalue()
}
}
}
+
+ Eigen::DSizes<ptrdiff_t, 3> sizes5(4,5,7);
+ Eigen::DSizes<ptrdiff_t, 3> fifth_slice(0,0,0);
+ result.slice(fifth_slice, sizes5) = tensor5.slice(fifth_slice, sizes5);
+ for (int i = 0; i < 4; ++i) {
+ for (int j = 2; j < 5; ++j) {
+ for (int k = 0; k < 7; ++k) {
+ VERIFY_IS_EQUAL(result(i,j,k), tensor5(i,j,k));
+ }
+ }
+ }
}
template<int DataLayout>
diff --git a/unsupported/test/cxx11_tensor_shuffling.cpp b/unsupported/test/cxx11_tensor_shuffling.cpp
index ec623e1f9..2f7fd9e50 100644
--- a/unsupported/test/cxx11_tensor_shuffling.cpp
+++ b/unsupported/test/cxx11_tensor_shuffling.cpp
@@ -157,6 +157,23 @@ static void test_shuffling_as_value()
}
}
}
+
+ array<ptrdiff_t, 4> no_shuffle;
+ no_shuffle[0] = 0;
+ no_shuffle[1] = 1;
+ no_shuffle[2] = 2;
+ no_shuffle[3] = 3;
+ Tensor<float, 4, DataLayout> shuffle2(5,7,3,2);
+ shuffle2.shuffle(shuffles) = tensor.shuffle(no_shuffle);
+ for (int i = 0; i < 5; ++i) {
+ for (int j = 0; j < 7; ++j) {
+ for (int k = 0; k < 3; ++k) {
+ for (int l = 0; l < 2; ++l) {
+ VERIFY_IS_EQUAL(shuffle2(i,j,k,l), shuffle(i,j,k,l));
+ }
+ }
+ }
+ }
}
void test_cxx11_tensor_shuffling()
diff --git a/unsupported/test/cxx11_tensor_striding.cpp b/unsupported/test/cxx11_tensor_striding.cpp
index 1feb39dca..935b908cc 100644
--- a/unsupported/test/cxx11_tensor_striding.cpp
+++ b/unsupported/test/cxx11_tensor_striding.cpp
@@ -89,6 +89,24 @@ static void test_striding_as_lvalue()
}
}
}
+
+ array<ptrdiff_t, 4> no_strides;
+ no_strides[0] = 1;
+ no_strides[1] = 1;
+ no_strides[2] = 1;
+ no_strides[3] = 1;
+ Tensor<float, 4, DataLayout> result2(3, 12, 10, 21);
+ result2.stride(strides) = tensor.stride(no_strides);
+
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 3; ++j) {
+ for (int k = 0; k < 5; ++k) {
+ for (int l = 0; l < 7; ++l) {
+ VERIFY_IS_EQUAL(tensor(i,j,k,l), result2(2*i,4*j,2*k,3*l));
+ }
+ }
+ }
+ }
}