| /* |
| * Copyright (c) 2017-2019 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/NETranspose.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/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/TransposeFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(NEON) |
| TEST_SUITE(Transpose) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::U8), // Input not a multiple of 8 |
| TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), // Invalid shape |
| TensorInfo(TensorShape(20U, 13U), 1, DataType::U32), // Window shrink |
| TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), // Wrong data type |
| TensorInfo(TensorShape(20U, 16U), 1, DataType::U16), |
| TensorInfo(TensorShape(20U, 16U), 1, DataType::U32), |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(13U, 21U), 1, DataType::U8), |
| TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), |
| TensorInfo(TensorShape(13U, 20U), 1, DataType::U32), |
| TensorInfo(TensorShape(31U, 20U), 1, DataType::U16), |
| TensorInfo(TensorShape(16U, 20U), 1, DataType::U16), |
| TensorInfo(TensorShape(16U, 20U), 1, DataType::U32), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, true, true })), |
| a_info, output_info, expected) |
| { |
| // Lock tensors |
| Status status = NETranspose::validate(&a_info.clone()->set_is_resizable(false), |
| &output_info.clone()->set_is_resizable(false)); |
| ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), |
| shape, data_type) |
| { |
| // Make rows the columns of the original shape |
| TensorShape output_shape{ shape[1], shape[0] }; |
| |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(output_shape, data_type); |
| |
| // Create and Configure function |
| NETranspose trans; |
| trans.configure(&src, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(output_shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const unsigned int num_elems_processed_per_iteration_x = 1; |
| const unsigned int num_elems_processed_per_iteration_y = std::max(4, static_cast<int>(8 / src.info()->element_size())); |
| const unsigned int max_in_x = ceil_to_multiple(shape[0], num_elems_processed_per_iteration_x); |
| const unsigned int max_in_y = ceil_to_multiple(shape[1], num_elems_processed_per_iteration_y); |
| const unsigned int max_out_x = ceil_to_multiple(output_shape[0], num_elems_processed_per_iteration_y); |
| const unsigned int max_out_y = ceil_to_multiple(output_shape[1], num_elems_processed_per_iteration_x); |
| |
| const PaddingSize in_padding(0, max_in_x - shape[0], max_in_y - shape[1], 0); |
| const PaddingSize out_padding(0, max_out_x - output_shape[0], max_out_y - output_shape[1], 0); |
| validate(src.info()->padding(), in_padding); |
| validate(dst.info()->padding(), out_padding); |
| } |
| |
| template <typename T> |
| using NETransposeFixture = TransposeValidationFixture<Tensor, Accessor, NETranspose, T>; |
| |
| TEST_SUITE(U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), |
| framework::dataset::make("DataType", DataType::U8))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), |
| framework::dataset::make("DataType", DataType::U8))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(U16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), |
| framework::dataset::make("DataType", DataType::U16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), |
| framework::dataset::make("DataType", DataType::U16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(U32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint32_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()), |
| framework::dataset::make("DataType", DataType::U32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint32_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()), |
| framework::dataset::make("DataType", DataType::U32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |