| /* |
| * Copyright (c) 2018-2019 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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLSelect.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.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/SelectFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| auto run_small_dataset = combine(datasets::SmallShapes(), framework::dataset::make("has_same_rank", { false, true })); |
| auto run_large_dataset = combine(datasets::LargeShapes(), framework::dataset::make("has_same_rank", { false, true })); |
| |
| } // namespace |
| TEST_SUITE(CL) |
| TEST_SUITE(Select) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("CInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid condition datatype |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid output datatype |
| TensorInfo(TensorShape(13U), 1, DataType::U8), // Invalid c shape |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(2U), 1, DataType::U8), |
| }), |
| framework::dataset::make("XInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("YInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, true, true})), |
| c_info, x_info, y_info, output_info, expected) |
| { |
| Status s = CLSelect::validate(&c_info.clone()->set_is_resizable(false), |
| &x_info.clone()->set_is_resizable(false), |
| &y_info.clone()->set_is_resizable(false), |
| &output_info.clone()->set_is_resizable(false)); |
| ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLSelectFixture = SelectValidationFixture<CLTensor, CLAccessor, CLSelect, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(F16) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, |
| shape, same_rank) |
| { |
| const DataType dt = DataType::F16; |
| |
| // Create tensors |
| CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8); |
| CLTensor ref_x = create_tensor<CLTensor>(shape, dt); |
| CLTensor ref_y = create_tensor<CLTensor>(shape, dt); |
| CLTensor dst = create_tensor<CLTensor>(shape, dt); |
| |
| // Create and Configure function |
| CLSelect select; |
| select.configure(&ref_c, &ref_x, &ref_y, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const int step = 16 / arm_compute::data_size_from_type(dt); |
| const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); |
| if(same_rank) |
| { |
| validate(ref_c.info()->padding(), padding); |
| } |
| validate(ref_x.info()->padding(), padding); |
| validate(ref_y.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| CLSelectFixture<half>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| CLSelectFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // F16 |
| |
| TEST_SUITE(FP32) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, |
| shape, same_rank) |
| { |
| const DataType dt = DataType::F32; |
| |
| // Create tensors |
| CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8); |
| CLTensor ref_x = create_tensor<CLTensor>(shape, dt); |
| CLTensor ref_y = create_tensor<CLTensor>(shape, dt); |
| CLTensor dst = create_tensor<CLTensor>(shape, dt); |
| |
| // Create and Configure function |
| CLSelect select; |
| select.configure(&ref_c, &ref_x, &ref_y, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const int step = 16 / arm_compute::data_size_from_type(dt); |
| const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); |
| if(same_rank) |
| { |
| validate(ref_c.info()->padding(), padding); |
| } |
| validate(ref_x.info()->padding(), padding); |
| validate(ref_y.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| CLSelectFixture<float>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| CLSelectFixture<float>, |
| framework::DatasetMode::NIGHTLY, |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // F32 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, run_small_dataset, |
| shape, same_rank) |
| { |
| const DataType dt = DataType::QASYMM8; |
| |
| // Create tensors |
| CLTensor ref_c = create_tensor<CLTensor>(detail::select_condition_shape(shape, same_rank), DataType::U8); |
| CLTensor ref_x = create_tensor<CLTensor>(shape, dt); |
| CLTensor ref_y = create_tensor<CLTensor>(shape, dt); |
| CLTensor dst = create_tensor<CLTensor>(shape, dt); |
| |
| // Create and Configure function |
| CLSelect select; |
| select.configure(&ref_c, &ref_x, &ref_y, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const int step = 16 / arm_compute::data_size_from_type(dt); |
| const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); |
| if(same_rank) |
| { |
| validate(ref_c.info()->padding(), padding); |
| } |
| validate(ref_x.info()->padding(), padding); |
| validate(ref_y.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| CLSelectFixture<uint8_t>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| CLSelectFixture<uint8_t>, |
| framework::DatasetMode::NIGHTLY, |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // Select |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |