diff options
Diffstat (limited to 'test/1.0/FullyConnectedReshape.cpp')
| -rw-r--r-- | test/1.0/FullyConnectedReshape.cpp | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/test/1.0/FullyConnectedReshape.cpp b/test/1.0/FullyConnectedReshape.cpp index 250f8837..72c90ca5 100644 --- a/test/1.0/FullyConnectedReshape.cpp +++ b/test/1.0/FullyConnectedReshape.cpp @@ -13,8 +13,30 @@ BOOST_AUTO_TEST_SUITE(FullyConnectedReshapeTests) BOOST_AUTO_TEST_CASE(TestFlattenFullyConnectedInput) { using armnn::TensorShape; + + // Pass through 2d input + BOOST_TEST(FlattenFullyConnectedInput(TensorShape({2,2048}), TensorShape({512, 2048})) == + TensorShape({2, 2048})); + + // Trivial flattening of batched channels BOOST_TEST(FlattenFullyConnectedInput(TensorShape({97,1,1,2048}), TensorShape({512, 2048})) == TensorShape({97, 2048})); + + // Flatten single batch of rows + BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,97,1,2048}), TensorShape({512, 2048})) == + TensorShape({97, 2048})); + + // Flatten single batch of columns + BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,1,97,2048}), TensorShape({512, 2048})) == + TensorShape({97, 2048})); + + // Move batches into input dimension + BOOST_TEST(FlattenFullyConnectedInput(TensorShape({50,1,1,10}), TensorShape({512, 20})) == + TensorShape({25, 20})); + + // Flatten single batch of 3D data (e.g. convolution output) + BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,16,16,10}), TensorShape({512, 2560})) == + TensorShape({1, 2560})); } BOOST_AUTO_TEST_SUITE_END() |