| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "../DriverTestHelpers.hpp" |
| #include "../../1.0/FullyConnected.hpp" |
| |
| #include <doctest/doctest.h> |
| |
| TEST_SUITE("FullyConnectedReshapeTests") |
| { |
| TEST_CASE("TestFlattenFullyConnectedInput") |
| { |
| using armnn::TensorShape; |
| |
| // Pass through 2d input |
| 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})); |
| |
| // Flatten single batch of rows |
| 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})); |
| |
| // Move batches into input dimension |
| 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})); |
| } |
| |
| } |