diff options
Diffstat (limited to 'test/1.0/FullyConnectedReshape.cpp')
| -rw-r--r-- | test/1.0/FullyConnectedReshape.cpp | 37 |
1 files changed, 17 insertions, 20 deletions
diff --git a/test/1.0/FullyConnectedReshape.cpp b/test/1.0/FullyConnectedReshape.cpp index 72c90ca5..e481f2d2 100644 --- a/test/1.0/FullyConnectedReshape.cpp +++ b/test/1.0/FullyConnectedReshape.cpp @@ -1,42 +1,39 @@ // -// Copyright © 2017 Arm Ltd. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "../DriverTestHelpers.hpp" -#include "../../1.0/FullyConnected.hpp" -#include <boost/test/unit_test.hpp> - -BOOST_AUTO_TEST_SUITE(FullyConnectedReshapeTests) - -BOOST_AUTO_TEST_CASE(TestFlattenFullyConnectedInput) +DOCTEST_TEST_SUITE("FullyConnectedReshapeTests") +{ +DOCTEST_TEST_CASE("TestFlattenFullyConnectedInput") { using armnn::TensorShape; // Pass through 2d input - BOOST_TEST(FlattenFullyConnectedInput(TensorShape({2,2048}), TensorShape({512, 2048})) == - TensorShape({2, 2048})); + DOCTEST_CHECK(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})); + DOCTEST_CHECK(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})); + DOCTEST_CHECK(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})); + DOCTEST_CHECK(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})); + DOCTEST_CHECK(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})); + DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({1,16,16,10}), + TensorShape({512, 2560})) == TensorShape({1, 2560})); } -BOOST_AUTO_TEST_SUITE_END() +} |