| /* |
| * 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/NEBatchToSpaceLayer.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/BatchToSpaceDataset.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/BatchToSpaceLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(NEON) |
| TEST_SUITE(BatchToSpaceLayer) |
| |
| template <typename T> |
| using NEBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<Tensor, Accessor, NEBatchToSpaceLayer, T>; |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky |
| TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape |
| }), |
| framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(2U, 4U), 1, DataType::S32), |
| TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(2U, 2U), 1, DataType::F16), |
| TensorInfo(TensorShape(2U, 2U), 1, DataType::S32), |
| })), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16), |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Expected", { true, true, true, false, false, false})), |
| input_info, block_shape_info, output_info, expected) |
| { |
| bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))); |
| ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); |
| } |
| DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky |
| TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx |
| TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Mismatching data types |
| TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Negative block shapes |
| TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), // Wrong tensor shape |
| }), |
| framework::dataset::make("BlockShapeX", { 2, 4, 2, 2, 2, 2 })), |
| framework::dataset::make("BlockShapeY", { 2, 2, 4, 2, -2, 2 })), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16), |
| TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), |
| TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Expected", { true, true, true, false, false, false})), |
| input_info, block_shape_x, block_shape_y, output_info, expected) |
| { |
| bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, &output_info.clone()->set_is_resizable(false))); |
| ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEBatchToSpaceLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEBatchToSpaceLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() // BatchToSpace |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |