| /* |
| * Copyright (c) 2018 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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLUnstack.h" |
| |
| #include "tests/CL/CLAccessor.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/UnstackFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| const auto unstack_axis_dataset = framework::dataset::make("Axis", -3, 3); |
| const auto unstack_num_dataset = framework::dataset::make("Num", 1, 3); // The length of the dimension axis |
| const auto unstack_dataset_small = datasets::Small3DShapes() * unstack_axis_dataset * unstack_num_dataset; |
| } //namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(Unstack) |
| |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", |
| { |
| TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), // Passes, 1 slice on x axis |
| TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), // fails because axis > input's rank |
| TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), // fails axis < (- input's rank) |
| TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), // passes, 3 slices along X |
| TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), // fails, too few output slices |
| TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), // fails mismatching data types |
| }), |
| framework::dataset::make("OutputInfo", |
| { |
| std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, |
| |
| std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, |
| })), |
| framework::dataset::make("Axis", { -3, 3, -4, -3, 1, 1 })), |
| framework::dataset::make("Num", { 1, 1, 1, 1, 0, 1 })), |
| framework::dataset::make("Expected", { true, false, false, true, false, false })), |
| input_info, output_info, axis, num, expected) |
| { |
| std::vector<TensorInfo> ti(output_info); |
| std::vector<ITensorInfo *> vec(num); |
| for(size_t j = 0; j < vec.size(); ++j) |
| { |
| vec[j] = &ti[j]; |
| } |
| ARM_COMPUTE_EXPECT(bool(CLUnstack::validate(&input_info.clone()->set_is_resizable(false), vec, axis)) == expected, framework::LogLevel::ERRORS); |
| } |
| |
| template <typename T> |
| using CLUnstackFixture = UnstackValidationFixture<CLTensor, ICLTensor, CLAccessor, CLUnstack, T>; |
| |
| TEST_SUITE(F32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<float>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F32 })) |
| { |
| ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| // Validate output |
| for(size_t k = 0; k < _target.size(); ++k) |
| { |
| validate(CLAccessor(_target[k]), _reference[k]); |
| } |
| } |
| TEST_SUITE_END() // F32 |
| |
| TEST_SUITE(F16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<half>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F16 })) |
| { |
| ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| // Validate output |
| for(size_t k = 0; k < _target.size(); ++k) |
| { |
| validate(CLAccessor(_target[k]), _reference[k]); |
| } |
| } |
| TEST_SUITE_END() // F16 |
| |
| TEST_SUITE(Quantized) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::QASYMM8 })) |
| { |
| ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| // Validate output |
| for(size_t k = 0; k < _target.size(); ++k) |
| { |
| validate(CLAccessor(_target[k]), _reference[k]); |
| } |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE_END() // Unstack |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |