Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/Types.h" |
| 25 | #include "arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h" |
| 26 | #include "arm_compute/runtime/Tensor.h" |
| 27 | #include "arm_compute/runtime/TensorAllocator.h" |
| 28 | #include "tests/NEON/Accessor.h" |
| 29 | #include "tests/datasets/ShapeDatasets.h" |
| 30 | #include "tests/framework/Asserts.h" |
| 31 | #include "tests/framework/Macros.h" |
| 32 | #include "tests/framework/datasets/Datasets.h" |
| 33 | #include "tests/validation/Validation.h" |
| 34 | #include "tests/validation/fixtures/WidthConcatenateLayerFixture.h" |
| 35 | |
| 36 | namespace arm_compute |
| 37 | { |
| 38 | namespace test |
| 39 | { |
| 40 | namespace validation |
| 41 | { |
| 42 | TEST_SUITE(NEON) |
| 43 | TEST_SUITE(WidthConcatenateLayer) |
| 44 | // *INDENT-OFF* |
| 45 | // clang-format off |
| 46 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| 47 | framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output |
| 48 | TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension |
| 49 | TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width |
| 50 | TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) |
| 51 | }), |
| 52 | framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), |
| 53 | TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), |
| 54 | TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32), |
| 55 | TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32) |
| 56 | })), |
| 57 | framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16), |
| 58 | TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32), |
| 59 | TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32), |
| 60 | TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32) |
| 61 | })), |
| 62 | framework::dataset::make("Expected", { false, false, false, true })), |
| 63 | input_info1, input_info2, output_info,expected) |
| 64 | { |
| 65 | std::vector<TensorInfo> inputs_vector_info; |
| 66 | inputs_vector_info.emplace_back(std::move(input_info1)); |
| 67 | inputs_vector_info.emplace_back(std::move(input_info2)); |
| 68 | |
| 69 | std::vector<ITensorInfo *> inputs_vector_info_raw; |
| 70 | for(auto &input : inputs_vector_info) |
| 71 | { |
| 72 | inputs_vector_info_raw.emplace_back(&input); |
| 73 | } |
| 74 | |
| 75 | bool is_valid = bool(NEWidthConcatenateLayer::validate(inputs_vector_info_raw, |
| 76 | &output_info.clone()->set_is_resizable(false))); |
| 77 | ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| 78 | } |
| 79 | // clang-format on |
| 80 | // *INDENT-ON* |
| 81 | |
| 82 | TEST_CASE(Configuration, framework::DatasetMode::ALL) |
| 83 | { |
| 84 | // Create tensors |
| 85 | Tensor src1 = create_tensor<Tensor>(TensorShape(128U, 32U, 32U), DataType::F32, 1); |
| 86 | Tensor src2 = create_tensor<Tensor>(TensorShape(32U, 32U, 32U), DataType::F32, 1); |
| 87 | Tensor src3 = create_tensor<Tensor>(TensorShape(15U, 32U, 32U), DataType::F32, 1); |
| 88 | Tensor dst; |
| 89 | |
| 90 | ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 91 | ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 92 | ARM_COMPUTE_EXPECT(src3.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 93 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 94 | |
| 95 | // Create and configure function |
| 96 | NEWidthConcatenateLayer concat_layer; |
| 97 | |
| 98 | concat_layer.configure({ &src1, &src2, &src3 }, &dst); |
| 99 | } |
| 100 | |
| 101 | template <typename T> |
| 102 | using NEWidthConcatenateLayerFixture = WidthConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEWidthConcatenateLayer, T>; |
| 103 | |
| 104 | TEST_SUITE(Float) |
| 105 | TEST_SUITE(FP32) |
| 106 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", |
| 107 | DataType::F32))) |
| 108 | { |
| 109 | // Validate output |
| 110 | validate(Accessor(_target), _reference); |
| 111 | } |
| 112 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType", |
| 113 | DataType::F32))) |
| 114 | { |
| 115 | // Validate output |
| 116 | validate(Accessor(_target), _reference); |
| 117 | } |
| 118 | TEST_SUITE_END() |
| 119 | TEST_SUITE_END() |
| 120 | |
| 121 | TEST_SUITE(Quantized) |
| 122 | TEST_SUITE(QASYMM8) |
| 123 | FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", |
| 124 | DataType::QASYMM8))) |
| 125 | { |
| 126 | // Validate output |
| 127 | validate(Accessor(_target), _reference); |
| 128 | } |
| 129 | FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType", |
| 130 | DataType::QASYMM8))) |
| 131 | { |
| 132 | // Validate output |
| 133 | validate(Accessor(_target), _reference); |
| 134 | } |
| 135 | TEST_SUITE_END() |
| 136 | TEST_SUITE_END() |
| 137 | |
| 138 | TEST_SUITE_END() |
| 139 | TEST_SUITE_END() |
| 140 | } // namespace validation |
| 141 | } // namespace test |
| 142 | } // namespace arm_compute |