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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-04-07 10:44:13 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-04-07 10:44:13 -0700
commit1de49ef4c2d96acc1c96628fa52e2330cf54dc19 (patch)
tree9cb5a5db035e2d86a44c0ad768a2df6b1114312d /unsupported/test/cxx11_tensor_chipping.cpp
parenta1f1e1e51df316d1b37733770f5e7ab17006113a (diff)
Fixed a bug when chipping tensors laid out in row major order.
Diffstat (limited to 'unsupported/test/cxx11_tensor_chipping.cpp')
-rw-r--r--unsupported/test/cxx11_tensor_chipping.cpp52
1 files changed, 40 insertions, 12 deletions
diff --git a/unsupported/test/cxx11_tensor_chipping.cpp b/unsupported/test/cxx11_tensor_chipping.cpp
index d83417872..bfc2bad18 100644
--- a/unsupported/test/cxx11_tensor_chipping.cpp
+++ b/unsupported/test/cxx11_tensor_chipping.cpp
@@ -340,11 +340,9 @@ static void test_chip_as_lvalue()
}
}
-
-template<int DataLayout>
-static void test_chip_raw_data()
+static void test_chip_raw_data_col_major()
{
- Tensor<float, 5, DataLayout> tensor(2,3,5,7,11);
+ Tensor<float, 5, ColMajor> tensor(2,3,5,7,11);
tensor.setRandom();
typedef TensorEvaluator<decltype(tensor.template chip<4>(3)), DefaultDevice> Evaluator4;
@@ -353,12 +351,7 @@ static void test_chip_raw_data()
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
- int chip_index;
- if (DataLayout == ColMajor) {
- chip_index = i + 2 * (j + 3 * (k + 5 * l));
- } else {
- chip_index = 11 * (l + 7 * (k + 5 * (j + 3 * i)));
- }
+ int chip_index = i + 2 * (j + 3 * (k + 5 * l));
VERIFY_IS_EQUAL(chip.data()[chip_index], tensor(i,j,k,l,3));
}
}
@@ -382,6 +375,41 @@ static void test_chip_raw_data()
VERIFY_IS_EQUAL(chip3.data(), static_cast<float*>(0));
}
+static void test_chip_raw_data_row_major()
+{
+ Tensor<float, 5, RowMajor> tensor(11,7,5,3,2);
+ tensor.setRandom();
+
+ typedef TensorEvaluator<decltype(tensor.template chip<0>(3)), DefaultDevice> Evaluator0;
+ auto chip = Evaluator0(tensor.template chip<0>(3), DefaultDevice());
+ for (int i = 0; i < 7; ++i) {
+ for (int j = 0; j < 5; ++j) {
+ for (int k = 0; k < 3; ++k) {
+ for (int l = 0; l < 2; ++l) {
+ int chip_index = l + 2 * (k + 3 * (j + 5 * i));
+ VERIFY_IS_EQUAL(chip.data()[chip_index], tensor(3,i,j,k,l));
+ }
+ }
+ }
+ }
+
+ typedef TensorEvaluator<decltype(tensor.template chip<1>(0)), DefaultDevice> Evaluator1;
+ auto chip1 = Evaluator1(tensor.template chip<1>(0), DefaultDevice());
+ VERIFY_IS_EQUAL(chip1.data(), static_cast<float*>(0));
+
+ typedef TensorEvaluator<decltype(tensor.template chip<2>(0)), DefaultDevice> Evaluator2;
+ auto chip2 = Evaluator2(tensor.template chip<2>(0), DefaultDevice());
+ VERIFY_IS_EQUAL(chip2.data(), static_cast<float*>(0));
+
+ typedef TensorEvaluator<decltype(tensor.template chip<3>(0)), DefaultDevice> Evaluator3;
+ auto chip3 = Evaluator3(tensor.template chip<3>(0), DefaultDevice());
+ VERIFY_IS_EQUAL(chip3.data(), static_cast<float*>(0));
+
+ typedef TensorEvaluator<decltype(tensor.template chip<4>(0)), DefaultDevice> Evaluator4;
+ auto chip4 = Evaluator4(tensor.template chip<4>(0), DefaultDevice());
+ VERIFY_IS_EQUAL(chip4.data(), static_cast<float*>(0));
+}
+
void test_cxx11_tensor_chipping()
{
CALL_SUBTEST(test_simple_chip<ColMajor>());
@@ -392,6 +420,6 @@ void test_cxx11_tensor_chipping()
CALL_SUBTEST(test_chip_in_expr<RowMajor>());
CALL_SUBTEST(test_chip_as_lvalue<ColMajor>());
CALL_SUBTEST(test_chip_as_lvalue<RowMajor>());
- CALL_SUBTEST(test_chip_raw_data<ColMajor>());
- CALL_SUBTEST(test_chip_raw_data<RowMajor>());
+ CALL_SUBTEST(test_chip_raw_data_col_major());
+ CALL_SUBTEST(test_chip_raw_data_row_major());
}