diff options
Diffstat (limited to 'test/1.0/FullyConnectedReshape.cpp')
| -rw-r--r-- | test/1.0/FullyConnectedReshape.cpp | 27 |
1 files changed, 15 insertions, 12 deletions
diff --git a/test/1.0/FullyConnectedReshape.cpp b/test/1.0/FullyConnectedReshape.cpp index 4585c95b..e481f2d2 100644 --- a/test/1.0/FullyConnectedReshape.cpp +++ b/test/1.0/FullyConnectedReshape.cpp @@ -1,36 +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 <doctest/doctest.h> - -TEST_SUITE("FullyConnectedReshapeTests") +DOCTEST_TEST_SUITE("FullyConnectedReshapeTests") { -TEST_CASE("TestFlattenFullyConnectedInput") +DOCTEST_TEST_CASE("TestFlattenFullyConnectedInput") { using armnn::TensorShape; // Pass through 2d input - CHECK(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 - CHECK(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 - CHECK(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 - CHECK(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 - CHECK(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) - CHECK(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})); } } |