Lukas Zilka | 21d8c98 | 2018-01-24 11:11:20 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (C) 2017 The Android Open Source Project |
| 3 | * |
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | * you may not use this file except in compliance with the License. |
| 6 | * You may obtain a copy of the License at |
| 7 | * |
| 8 | * http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | * |
| 10 | * Unless required by applicable law or agreed to in writing, software |
| 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | * See the License for the specific language governing permissions and |
| 14 | * limitations under the License. |
| 15 | */ |
| 16 | |
| 17 | #include "tensor-view.h" |
| 18 | |
| 19 | #include "gmock/gmock.h" |
| 20 | #include "gtest/gtest.h" |
| 21 | |
| 22 | namespace libtextclassifier2 { |
| 23 | namespace { |
| 24 | |
| 25 | TEST(TensorViewTest, TestSize) { |
| 26 | std::vector<float> data{0.1, 0.2, 0.3, 0.4, 0.5, 0.6}; |
| 27 | const TensorView<float> tensor(data.data(), {3, 1, 2}); |
| 28 | EXPECT_TRUE(tensor.is_valid()); |
| 29 | EXPECT_EQ(tensor.shape(), (std::vector<int>{3, 1, 2})); |
| 30 | EXPECT_EQ(tensor.data(), data.data()); |
| 31 | EXPECT_EQ(tensor.size(), 6); |
| 32 | EXPECT_EQ(tensor.dims(), 3); |
| 33 | EXPECT_EQ(tensor.dim(0), 3); |
| 34 | EXPECT_EQ(tensor.dim(1), 1); |
| 35 | EXPECT_EQ(tensor.dim(2), 2); |
| 36 | std::vector<float> output_data(6); |
| 37 | EXPECT_TRUE(tensor.copy_to(output_data.data(), output_data.size())); |
| 38 | EXPECT_EQ(data, output_data); |
| 39 | |
| 40 | // Should not copy when the output is small. |
| 41 | std::vector<float> small_output_data{-1, -1, -1}; |
| 42 | EXPECT_FALSE( |
| 43 | tensor.copy_to(small_output_data.data(), small_output_data.size())); |
| 44 | // The output buffer should not be changed. |
| 45 | EXPECT_EQ(small_output_data, (std::vector<float>{-1, -1, -1})); |
| 46 | |
| 47 | const TensorView<float> invalid_tensor = TensorView<float>::Invalid(); |
| 48 | EXPECT_FALSE(invalid_tensor.is_valid()); |
| 49 | } |
| 50 | |
| 51 | } // namespace |
| 52 | } // namespace libtextclassifier2 |