Michele Di Giorgio | 56dd726 | 2017-07-27 09:53:49 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 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/CL/CLTensor.h" |
| 26 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLDequantizationLayer.h" |
| 28 | #include "tests/CL/CLAccessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/ShapeDatasets.h" |
| 31 | #include "tests/framework/Asserts.h" |
| 32 | #include "tests/framework/Macros.h" |
| 33 | #include "tests/framework/datasets/Datasets.h" |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/fixtures/DequantizationLayerFixture.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | const auto DequantizationShapes = concat(concat(concat(datasets::Small3DShapes(), |
| 46 | datasets::Large3DShapes()), |
| 47 | datasets::Small4DShapes()), |
| 48 | datasets::Large4DShapes()); |
| 49 | } // namespace |
| 50 | |
| 51 | TEST_SUITE(CL) |
| 52 | TEST_SUITE(DequantizationLayer) |
| 53 | |
| 54 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type) |
| 55 | { |
| 56 | TensorShape shape_min_max = shape; |
| 57 | shape_min_max.set(Window::DimX, 2); |
| 58 | |
| 59 | // Remove Y and Z dimensions and keep the batches |
| 60 | shape_min_max.remove_dimension(1); |
| 61 | shape_min_max.remove_dimension(1); |
| 62 | |
| 63 | // Create tensors |
| 64 | CLTensor src = create_tensor<CLTensor>(shape, data_type); |
| 65 | CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32); |
| 66 | CLTensor min_max = create_tensor<CLTensor>(shape_min_max, DataType::F32); |
| 67 | |
| 68 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 69 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 70 | ARM_COMPUTE_EXPECT(min_max.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 71 | |
| 72 | // Create and configure function |
| 73 | CLDequantizationLayer dequant_layer; |
| 74 | dequant_layer.configure(&src, &dst, &min_max); |
| 75 | |
| 76 | // Validate valid region |
| 77 | const ValidRegion valid_region = shape_to_valid_region(shape); |
| 78 | validate(src.info()->valid_region(), valid_region); |
| 79 | validate(dst.info()->valid_region(), valid_region); |
| 80 | |
| 81 | // Validate valid region of min_max tensor |
| 82 | const ValidRegion valid_region_min_max = shape_to_valid_region(shape_min_max); |
| 83 | validate(min_max.info()->valid_region(), valid_region_min_max); |
| 84 | |
| 85 | // Validate padding |
| 86 | const PaddingSize padding = PaddingCalculator(shape.x(), 4).required_padding(); |
| 87 | validate(src.info()->padding(), padding); |
| 88 | validate(dst.info()->padding(), padding); |
| 89 | |
| 90 | // Validate padding of min_max tensor |
| 91 | const PaddingSize padding_min_max = PaddingCalculator(shape_min_max.x(), 2).required_padding(); |
| 92 | validate(min_max.info()->padding(), padding_min_max); |
| 93 | } |
| 94 | |
| 95 | template <typename T> |
| 96 | using CLDequantizationLayerFixture = DequantizationValidationFixture<CLTensor, CLAccessor, CLDequantizationLayer, T>; |
| 97 | |
| 98 | TEST_SUITE(Integer) |
| 99 | TEST_SUITE(U8) |
| 100 | FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), |
| 101 | framework::dataset::make("DataType", DataType::U8))) |
| 102 | { |
| 103 | // Validate output |
| 104 | validate(CLAccessor(_target), _reference); |
| 105 | } |
| 106 | FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), |
| 107 | framework::dataset::make("DataType", DataType::U8))) |
| 108 | { |
| 109 | // Validate output |
| 110 | validate(CLAccessor(_target), _reference); |
| 111 | } |
| 112 | TEST_SUITE_END() |
| 113 | TEST_SUITE_END() |
| 114 | |
| 115 | TEST_SUITE_END() |
| 116 | TEST_SUITE_END() |
| 117 | } // namespace validation |
| 118 | } // namespace test |
| 119 | } // namespace arm_compute |