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1 | 1 | #include <vector> |
2 | 2 |
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3 | 3 | #include "gtest/gtest.h" |
4 | | -#include "layers/ConCatLayer.hpp" |
| 4 | +#include "layers/ConсatLayer.hpp" |
5 | 5 | #include "layers/Tensor.hpp" |
6 | 6 |
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7 | 7 | using namespace it_lab_ai; |
8 | 8 |
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| 9 | +TEST(ConcatLayerTests, ConcatEmptyTensors) { |
| 10 | + ConcatLayer layer(0); |
| 11 | + |
| 12 | + Tensor empty1 = make_tensor<float>({}, {0}); |
| 13 | + Tensor empty2 = make_tensor<float>({}, {2, 0, 3}); |
| 14 | + |
| 15 | + Tensor output; |
| 16 | + |
| 17 | + EXPECT_THROW(layer.run({empty1, empty2}, output), std::runtime_error); |
| 18 | +} |
| 19 | + |
| 20 | +TEST(ConcatLayerTests, ConcatSingleElementTensors) { |
| 21 | + ConcatLayer layer(0); |
| 22 | + |
| 23 | + Tensor single1 = make_tensor<float>({42.0f}, {1}); |
| 24 | + Tensor single2 = make_tensor<float>({99.0f}, {1}); |
| 25 | + |
| 26 | + Tensor output; |
| 27 | + |
| 28 | + layer.run({single1, single2}, output); |
| 29 | + |
| 30 | + ASSERT_EQ(output.get_shape(), Shape({2})); |
| 31 | + EXPECT_FLOAT_EQ(output.get<float>({0}), 42.0f); |
| 32 | + EXPECT_FLOAT_EQ(output.get<float>({1}), 99.0f); |
| 33 | +} |
| 34 | + |
| 35 | +TEST(ConcatLayerTests, ConcatAlongAxisWithSize1) { |
| 36 | + ConcatLayer layer(0); |
| 37 | + |
| 38 | + Tensor input1 = make_tensor<float>({1, 2, 3, 4, 5, 6}, {1, 3, 2}); |
| 39 | + Tensor input2 = make_tensor<float>({7, 8, 9, 10, 11, 12}, {1, 3, 2}); |
| 40 | + |
| 41 | + Tensor output; |
| 42 | + |
| 43 | + layer.run({input1, input2}, output); |
| 44 | + |
| 45 | + ASSERT_EQ(output.get_shape(), Shape({2, 3, 2})); |
| 46 | + |
| 47 | + EXPECT_FLOAT_EQ(output.get<float>({0, 0, 0}), 1.0f); |
| 48 | + EXPECT_FLOAT_EQ(output.get<float>({0, 0, 1}), 2.0f); |
| 49 | + EXPECT_FLOAT_EQ(output.get<float>({0, 1, 0}), 3.0f); |
| 50 | + EXPECT_FLOAT_EQ(output.get<float>({0, 1, 1}), 4.0f); |
| 51 | + EXPECT_FLOAT_EQ(output.get<float>({0, 2, 0}), 5.0f); |
| 52 | + EXPECT_FLOAT_EQ(output.get<float>({0, 2, 1}), 6.0f); |
| 53 | + |
| 54 | + EXPECT_FLOAT_EQ(output.get<float>({1, 0, 0}), 7.0f); |
| 55 | + EXPECT_FLOAT_EQ(output.get<float>({1, 0, 1}), 8.0f); |
| 56 | + EXPECT_FLOAT_EQ(output.get<float>({1, 1, 0}), 9.0f); |
| 57 | + EXPECT_FLOAT_EQ(output.get<float>({1, 1, 1}), 10.0f); |
| 58 | + EXPECT_FLOAT_EQ(output.get<float>({1, 2, 0}), 11.0f); |
| 59 | + EXPECT_FLOAT_EQ(output.get<float>({1, 2, 1}), 12.0f); |
| 60 | +} |
| 61 | + |
| 62 | +TEST(ConcatLayerTests, ConcatScalars) { |
| 63 | + ConcatLayer layer(0); |
| 64 | + |
| 65 | + Tensor scalar1 = make_tensor<float>({42.0f}, {}); |
| 66 | + Tensor scalar2 = make_tensor<float>({99.0f}, {}); |
| 67 | + |
| 68 | + Tensor output; |
| 69 | + |
| 70 | + EXPECT_THROW(layer.run({scalar1, scalar2}, output), std::runtime_error); |
| 71 | +} |
| 72 | + |
9 | 73 | TEST(ConcatLayerTests, ConcatSameShapeFloatAxis0) { |
10 | 74 | ConcatLayer layer; |
11 | 75 | Tensor input1 = make_tensor<float>({1.0f, 2.0f, 3.0f, 4.0f}, {2, 2}); |
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