Michalis Spyrou | 0a88792 | 2018-06-11 16:30:23 +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/CL/CLTensor.h" |
| 26 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLArithmeticDivision.h" |
| 28 | #include "tests/CL/CLAccessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/ConvertPolicyDataset.h" |
| 31 | #include "tests/datasets/ShapeDatasets.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Macros.h" |
| 34 | #include "tests/framework/datasets/Datasets.h" |
| 35 | #include "tests/validation/Validation.h" |
| 36 | #include "tests/validation/fixtures/ArithmeticDivisionFixture.h" |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | namespace |
| 45 | { |
| 46 | RelativeTolerance<float> tolerance_fp32(0.000001f); |
| 47 | RelativeTolerance<float> tolerance_fp16(0.0001f); |
| 48 | } // namespace |
| 49 | |
| 50 | TEST_SUITE(CL) |
| 51 | TEST_SUITE(ArithmeticDivision) |
| 52 | |
| 53 | // *INDENT-OFF* |
| 54 | // clang-format off |
| 55 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| 56 | framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Wrong data type |
| 57 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink |
| 58 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination |
| 59 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| 60 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), |
| 61 | }), |
| 62 | framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 63 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), |
| 64 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), |
| 65 | TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| 66 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), |
| 67 | })), |
| 68 | framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), |
| 69 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), |
| 70 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 71 | TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| 72 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), |
| 73 | })), |
| 74 | framework::dataset::make("Expected", { false, false, false, false, true })), |
| 75 | input1_info, input2_info, output_info, expected) |
| 76 | { |
| 77 | ARM_COMPUTE_EXPECT(bool(CLArithmeticDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); |
| 78 | } |
| 79 | // clang-format on |
| 80 | // *INDENT-ON* |
| 81 | |
| 82 | template <typename T> |
| 83 | using CLArithmeticDivisionFixture = ArithmeticDivisionValidationFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>; |
| 84 | |
| 85 | TEST_SUITE(Float) |
| 86 | TEST_SUITE(FP16) |
| 87 | FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16))) |
| 88 | { |
| 89 | // Validate output |
| 90 | validate(CLAccessor(_target), _reference, tolerance_fp16); |
| 91 | } |
| 92 | TEST_SUITE_END() // FP16 |
| 93 | |
| 94 | TEST_SUITE(FP32) |
| 95 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, concat(datasets::SmallShapes(), datasets::LargeShapes()), shape) |
| 96 | { |
| 97 | // Create tensors |
| 98 | CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::F32); |
| 99 | CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::F32); |
| 100 | CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32); |
| 101 | |
| 102 | // Create and Configure function |
| 103 | CLArithmeticDivision div; |
| 104 | div.configure(&ref_src1, &ref_src2, &dst); |
| 105 | |
| 106 | // Validate valid region |
| 107 | const ValidRegion valid_region = shape_to_valid_region(shape); |
| 108 | validate(dst.info()->valid_region(), valid_region); |
| 109 | |
| 110 | // Validate padding |
| 111 | const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| 112 | validate(ref_src1.info()->padding(), padding); |
| 113 | validate(ref_src2.info()->padding(), padding); |
| 114 | validate(dst.info()->padding(), padding); |
| 115 | } |
| 116 | |
| 117 | FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))) |
| 118 | { |
| 119 | // Validate output |
| 120 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 121 | } |
| 122 | |
| 123 | FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32))) |
| 124 | { |
| 125 | // Validate output |
| 126 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 127 | } |
| 128 | |
| 129 | template <typename T> |
| 130 | using CLArithmeticDivisionBroadcastFixture = ArithmeticDivisionBroadcastValidationFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>; |
| 131 | |
| 132 | FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), |
| 133 | framework::dataset::make("DataType", DataType::F32))) |
| 134 | { |
| 135 | // Validate output |
| 136 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 137 | } |
| 138 | |
| 139 | FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), |
| 140 | framework::dataset::make("DataType", DataType::F32))) |
| 141 | { |
| 142 | // Validate output |
| 143 | validate(CLAccessor(_target), _reference, tolerance_fp32); |
| 144 | } |
| 145 | TEST_SUITE_END() // FP32 |
| 146 | TEST_SUITE_END() // Float |
| 147 | |
| 148 | TEST_SUITE_END() // ArithmeticDivision |
| 149 | TEST_SUITE_END() // CL |
| 150 | } // namespace validation |
| 151 | } // namespace test |
| 152 | } // namespace arm_compute |