43 lines
1.4 KiB
C++
43 lines
1.4 KiB
C++
//
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// Copyright © 2017 Arm Ltd. All rights reserved.
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// SPDX-License-Identifier: MIT
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//
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#include "../DriverTestHelpers.hpp"
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#include "../../1.0/FullyConnected.hpp"
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#include <boost/test/unit_test.hpp>
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BOOST_AUTO_TEST_SUITE(FullyConnectedReshapeTests)
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BOOST_AUTO_TEST_CASE(TestFlattenFullyConnectedInput)
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{
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using armnn::TensorShape;
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// Pass through 2d input
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({2,2048}), TensorShape({512, 2048})) ==
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TensorShape({2, 2048}));
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// Trivial flattening of batched channels
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({97,1,1,2048}), TensorShape({512, 2048})) ==
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TensorShape({97, 2048}));
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// Flatten single batch of rows
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,97,1,2048}), TensorShape({512, 2048})) ==
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TensorShape({97, 2048}));
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// Flatten single batch of columns
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,1,97,2048}), TensorShape({512, 2048})) ==
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TensorShape({97, 2048}));
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// Move batches into input dimension
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({50,1,1,10}), TensorShape({512, 20})) ==
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TensorShape({25, 20}));
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// Flatten single batch of 3D data (e.g. convolution output)
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BOOST_TEST(FlattenFullyConnectedInput(TensorShape({1,16,16,10}), TensorShape({512, 2560})) ==
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TensorShape({1, 2560}));
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}
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BOOST_AUTO_TEST_SUITE_END()
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