diff options
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/CL/BatchToSpaceLayer.cpp | 151 | ||||
-rw-r--r-- | tests/validation/fixtures/BatchToSpaceLayerFixture.h | 120 | ||||
-rw-r--r-- | tests/validation/reference/BatchToSpaceLayer.cpp | 76 | ||||
-rw-r--r-- | tests/validation/reference/BatchToSpaceLayer.h | 44 |
4 files changed, 391 insertions, 0 deletions
diff --git a/tests/validation/CL/BatchToSpaceLayer.cpp b/tests/validation/CL/BatchToSpaceLayer.cpp new file mode 100644 index 0000000000..79fee145db --- /dev/null +++ b/tests/validation/CL/BatchToSpaceLayer.cpp @@ -0,0 +1,151 @@ +/* + * 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/CLBatchToSpaceLayer.h" +#include "tests/CL/CLAccessor.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/Helpers.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/BatchToSpaceLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(CL) +TEST_SUITE(BatchToSpaceLayer) + +template <typename T> +using CLBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<CLTensor, CLAccessor, CLBatchToSpaceLayer, T>; + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallBatchToSpaceLayerDataset(), + framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), + input_shape, block_shape_shape, output_shape, dt) +{ + // Create tensors + CLTensor src = create_tensor<CLTensor>(input_shape, dt, 1); + CLTensor dst = create_tensor<CLTensor>(output_shape, dt, 1); + CLTensor block_shape = create_tensor<CLTensor>(block_shape_shape, DataType::S32, 1); + + // Create and Configure function + CLBatchToSpaceLayer batch_to_space; + batch_to_space.configure(&src, &block_shape, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(output_shape); + validate(dst.info()->valid_region(), valid_region); +} + +// *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(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, 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(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, false, false, false})), + input_info, block_shape_info, output_info, expected) +{ + bool has_error = bool(CLBatchToSpaceLayer::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(32U, 16U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Negative block shapes + TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong tensor shape + }), + framework::dataset::make("BlockShapeX", { 2, 2, 2, 2 })), + framework::dataset::make("BlockShapeY", { 2, 2, -2, 2 })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, false, false, false})), + input_info, block_shape_x, block_shape_y, output_info, expected) +{ + bool has_error = bool(CLBatchToSpaceLayer::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, CLBatchToSpaceLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() // BatchToSpace +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/BatchToSpaceLayerFixture.h b/tests/validation/fixtures/BatchToSpaceLayerFixture.h new file mode 100644 index 0000000000..f124fecb9d --- /dev/null +++ b/tests/validation/fixtures/BatchToSpaceLayerFixture.h @@ -0,0 +1,120 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_FIXTURE + +#include "tests/Globals.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/reference/BatchToSpaceLayer.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class BatchToSpaceLayerValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape output_shape, DataType data_type) + { + _target = compute_target(input_shape, block_shape_shape, output_shape, data_type); + _reference = compute_reference(input_shape, block_shape_shape, output_shape, data_type); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, i); + } + TensorType compute_target(const TensorShape &input_shape, const TensorShape &block_shape_shape, const TensorShape &output_shape, + DataType data_type) + { + // Create tensors + TensorType input = create_tensor<TensorType>(input_shape, data_type); + TensorType block_shape = create_tensor<TensorType>(block_shape_shape, DataType::S32); + TensorType output = create_tensor<TensorType>(output_shape, data_type); + + // Create and configure function + FunctionType batch_to_space; + batch_to_space.configure(&input, &block_shape, &output); + + ARM_COMPUTE_EXPECT(input.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(block_shape.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(output.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + input.allocator()->allocate(); + block_shape.allocator()->allocate(); + output.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!input.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!block_shape.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!output.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(input), 0); + { + auto block_shape_data = AccessorType(block_shape); + for(unsigned int i = 0; i < block_shape_shape.x(); ++i) + { + static_cast<int32_t *>(block_shape_data.data())[i] = output_shape[i] / input_shape[i]; + } + } + // Compute function + batch_to_space.run(); + + return output; + } + + SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &block_shape_shape, + const TensorShape &output_shape, DataType data_type) + { + // Create reference + SimpleTensor<T> input{ input_shape, data_type }; + SimpleTensor<int32_t> block_shape{ block_shape_shape, DataType::S32 }; + + // Fill reference + fill(input, 0); + for(unsigned int i = 0; i < block_shape_shape.x(); ++i) + { + block_shape[i] = output_shape[i] / input_shape[i]; + } + + // Compute reference + return reference::batch_to_space(input, block_shape, output_shape); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_FIXTURE */ diff --git a/tests/validation/reference/BatchToSpaceLayer.cpp b/tests/validation/reference/BatchToSpaceLayer.cpp new file mode 100644 index 0000000000..662a7070b8 --- /dev/null +++ b/tests/validation/reference/BatchToSpaceLayer.cpp @@ -0,0 +1,76 @@ +/* + * 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 "BatchToSpaceLayer.h" + +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +// Batch to Space +template <typename T> +SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape) +{ + ARM_COMPUTE_ERROR_ON(block_shape[0] <= 0); + ARM_COMPUTE_ERROR_ON(block_shape[1] <= 0); + SimpleTensor<T> result(dst_shape, src.data_type()); + + int in_pos = 0; + const auto width_in = static_cast<int>(src.shape()[0]); + const auto height_in = static_cast<int>(src.shape()[1]); + const auto z_in = static_cast<int>(src.shape()[2]); + const auto batch_in = static_cast<int>(src.shape()[3]); + + for(int batch = 0; batch < batch_in; ++batch) + { + for(int z = 0; z < z_in; ++z) + { + for(int y = 0; y < height_in; ++y) + { + for(int x = 0; x < width_in; ++x) + { + const int r = src.shape()[3] / (block_shape[0] * block_shape[1]); + const int out_x = (block_shape[0] * x + (batch / r) % block_shape[0]); + const int out_y = (block_shape[1] * y + (batch / r) / block_shape[0]); + const int out_pos = out_x + dst_shape[0] * out_y + z * dst_shape[0] * dst_shape[1] + (batch % r) * dst_shape[0] * dst_shape[1] * dst_shape[2]; + result[out_pos] = src[in_pos]; + ++in_pos; + } + } + } + } + + return result; +} +template SimpleTensor<float> batch_to_space(const SimpleTensor<float> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape); +template SimpleTensor<half> batch_to_space(const SimpleTensor<half> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/reference/BatchToSpaceLayer.h b/tests/validation/reference/BatchToSpaceLayer.h new file mode 100644 index 0000000000..d17cbe5a06 --- /dev/null +++ b/tests/validation/reference/BatchToSpaceLayer.h @@ -0,0 +1,44 @@ +/* + * 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. + */ +#ifndef __ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_H__ +#define __ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_BATCH_TO_SPACE_LAYER_H__ */ |