| /* |
| * Copyright (c) 2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEGather.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/GatherDataset.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/GatherFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(NEON) |
| TEST_SUITE(Gather) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices data type |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices dimensionality |
| TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), // Invalid Input dimensionality |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Mismatching data type input/output |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid positive axis value |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Invalid negative axis value |
| }), |
| framework::dataset::make("IndicesInfo", { |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U8), |
| TensorInfo(TensorShape(10U, 10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| TensorInfo(TensorShape(10U), 1, DataType::U32), |
| })), |
| framework::dataset::make("OutputInfo", { |
| TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), |
| TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), |
| TensorInfo(TensorShape(10U, 27U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), |
| TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 10U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), |
| })), |
| framework::dataset::make("Axis", { |
| 0, |
| 1, |
| -2, |
| 0, |
| 1, |
| 0, |
| 1, |
| 2, |
| -3, |
| })), |
| framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })), |
| input_info, indices_info, output_info, axis, expected) |
| { |
| const Status status = NEGather::validate(&input_info.clone()->set_is_resizable(true), &indices_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), axis); |
| ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| DATA_TEST_CASE(Configuration, |
| framework::DatasetMode::ALL, |
| combine(arm_compute::test::datasets::SmallGatherDataset(), framework::dataset::make("DataType", { DataType::F32 })), |
| input_shape, indices_shape, axis, data_type) |
| { |
| const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| Tensor src = create_tensor<Tensor>(input_shape, data_type); |
| Tensor indices = create_tensor<Tensor>(indices_shape, DataType::U32); |
| TensorShape dst_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input_shape, indices_shape, actual_axis); |
| Tensor dst = create_tensor<Tensor>(dst_shape, data_type); |
| |
| // Create and Configure function |
| NEGather gather; |
| gather.configure(&src, &indices, &dst, axis); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape()); |
| validate(dst.info()->valid_region(), valid_region); |
| } |
| |
| template <typename T> |
| using NEGatherFixture = GatherFixture<Tensor, Accessor, NEGather, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEGatherFixture<half>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEGatherFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP16 |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEGatherFixture<float>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEGatherFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEGatherFixture<uint8_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U8))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEGatherFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U8))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // U8 |
| |
| TEST_SUITE(U16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| NEGatherFixture<uint16_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| NEGatherFixture<uint16_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // U16 |
| |
| TEST_SUITE_END() // Gather |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |