xref: /aosp_15_r20/external/android-nn-driver/test/1.0/FullyConnectedReshape.cpp (revision 3e777be0405cee09af5d5785ff37f7cfb5bee59a)
1*3e777be0SXin Li //
2*3e777be0SXin Li // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3*3e777be0SXin Li // SPDX-License-Identifier: MIT
4*3e777be0SXin Li //
5*3e777be0SXin Li 
6*3e777be0SXin Li #include "../DriverTestHelpers.hpp"
7*3e777be0SXin Li 
8*3e777be0SXin Li DOCTEST_TEST_SUITE("FullyConnectedReshapeTests")
9*3e777be0SXin Li {
10*3e777be0SXin Li DOCTEST_TEST_CASE("TestFlattenFullyConnectedInput")
11*3e777be0SXin Li {
12*3e777be0SXin Li     using armnn::TensorShape;
13*3e777be0SXin Li 
14*3e777be0SXin Li     // Pass through 2d input
15*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({2,2048}),
16*3e777be0SXin Li                                              TensorShape({512, 2048})) == TensorShape({2, 2048}));
17*3e777be0SXin Li 
18*3e777be0SXin Li     // Trivial flattening of batched channels
19*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({97,1,1,2048}),
20*3e777be0SXin Li                                              TensorShape({512, 2048})) == TensorShape({97, 2048}));
21*3e777be0SXin Li 
22*3e777be0SXin Li     // Flatten single batch of rows
23*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({1,97,1,2048}),
24*3e777be0SXin Li                                              TensorShape({512, 2048})) == TensorShape({97, 2048}));
25*3e777be0SXin Li 
26*3e777be0SXin Li     // Flatten single batch of columns
27*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({1,1,97,2048}),
28*3e777be0SXin Li                                              TensorShape({512, 2048})) == TensorShape({97, 2048}));
29*3e777be0SXin Li 
30*3e777be0SXin Li     // Move batches into input dimension
31*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({50,1,1,10}),
32*3e777be0SXin Li                                              TensorShape({512, 20})) == TensorShape({25, 20}));
33*3e777be0SXin Li 
34*3e777be0SXin Li     // Flatten single batch of 3D data (e.g. convolution output)
35*3e777be0SXin Li     DOCTEST_CHECK(FlattenFullyConnectedInput(TensorShape({1,16,16,10}),
36*3e777be0SXin Li                                              TensorShape({512, 2560})) == TensorShape({1, 2560}));
37*3e777be0SXin Li }
38*3e777be0SXin Li 
39*3e777be0SXin Li }
40