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authorGravatar Gael Guennebaud <g.gael@free.fr>2018-07-09 11:23:16 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2018-07-09 11:23:16 +0200
commit6190aa5632fb698fa66d2dad2949275089f15738 (patch)
treec0096e08b3ffe11b582ff059e05df0836c1424c4 /unsupported/test/cxx11_tensor_broadcasting.cpp
parentec323b7e6643d9da3d9cda86570cc7724e0a8d3c (diff)
bug #1567: add optimized path for tensor broadcasting and 'Channel First' shape
Diffstat (limited to 'unsupported/test/cxx11_tensor_broadcasting.cpp')
-rw-r--r--unsupported/test/cxx11_tensor_broadcasting.cpp57
1 files changed, 57 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_broadcasting.cpp b/unsupported/test/cxx11_tensor_broadcasting.cpp
index a9d268ea6..f0ff03184 100644
--- a/unsupported/test/cxx11_tensor_broadcasting.cpp
+++ b/unsupported/test/cxx11_tensor_broadcasting.cpp
@@ -238,6 +238,59 @@ static void test_simple_broadcasting_n_by_one()
}
}
+template <int DataLayout>
+static void test_simple_broadcasting_one_by_n_by_one_1d()
+{
+ Tensor<float, 3, DataLayout> tensor(1,7,1);
+ tensor.setRandom();
+ array<ptrdiff_t, 3> broadcasts;
+ broadcasts[0] = 5;
+ broadcasts[1] = 1;
+ broadcasts[2] = 13;
+ Tensor<float, 3, DataLayout> broadcasted;
+ broadcasted = tensor.broadcast(broadcasts);
+
+ VERIFY_IS_EQUAL(broadcasted.dimension(0), 5);
+ VERIFY_IS_EQUAL(broadcasted.dimension(1), 7);
+ VERIFY_IS_EQUAL(broadcasted.dimension(2), 13);
+
+ for (int i = 0; i < 5; ++i) {
+ for (int j = 0; j < 7; ++j) {
+ for (int k = 0; k < 13; ++k) {
+ VERIFY_IS_EQUAL(tensor(0,j%7,0), broadcasted(i,j,k));
+ }
+ }
+ }
+}
+
+template <int DataLayout>
+static void test_simple_broadcasting_one_by_n_by_one_2d()
+{
+ Tensor<float, 4, DataLayout> tensor(1,7,13,1);
+ tensor.setRandom();
+ array<ptrdiff_t, 4> broadcasts;
+ broadcasts[0] = 5;
+ broadcasts[1] = 1;
+ broadcasts[2] = 1;
+ broadcasts[3] = 19;
+ Tensor<float, 4, DataLayout> broadcast;
+ broadcast = tensor.broadcast(broadcasts);
+
+ VERIFY_IS_EQUAL(broadcast.dimension(0), 5);
+ VERIFY_IS_EQUAL(broadcast.dimension(1), 7);
+ VERIFY_IS_EQUAL(broadcast.dimension(2), 13);
+ VERIFY_IS_EQUAL(broadcast.dimension(3), 19);
+
+ for (int i = 0; i < 5; ++i) {
+ for (int j = 0; j < 7; ++j) {
+ for (int k = 0; k < 13; ++k) {
+ for (int l = 0; l < 19; ++l) {
+ VERIFY_IS_EQUAL(tensor(0,j%7,k%13,0), broadcast(i,j,k,l));
+ }
+ }
+ }
+ }
+}
void test_cxx11_tensor_broadcasting()
{
@@ -253,4 +306,8 @@ void test_cxx11_tensor_broadcasting()
CALL_SUBTEST(test_simple_broadcasting_n_by_one<RowMajor>());
CALL_SUBTEST(test_simple_broadcasting_one_by_n<ColMajor>());
CALL_SUBTEST(test_simple_broadcasting_n_by_one<ColMajor>());
+ CALL_SUBTEST(test_simple_broadcasting_one_by_n_by_one_1d<ColMajor>());
+ CALL_SUBTEST(test_simple_broadcasting_one_by_n_by_one_2d<ColMajor>());
+ CALL_SUBTEST(test_simple_broadcasting_one_by_n_by_one_1d<RowMajor>());
+ CALL_SUBTEST(test_simple_broadcasting_one_by_n_by_one_2d<RowMajor>());
}