From 16934a511ccd37a28000a9fabb3e6e5fc6f51ec9 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Tue, 21 Aug 2018 18:03:58 +0100 Subject: COMPMID-1227 Implementing Space to Batch on OpenCL Change-Id: I6fd83d6584c56a4fd2470948f1987e23237c16d3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145577 Reviewed-by: Georgios Pinitas Tested-by: bsgcomp --- tests/validation/CL/SpaceToBatchLayer.cpp | 161 ++++++++++++++++++++++++++++++ 1 file changed, 161 insertions(+) create mode 100644 tests/validation/CL/SpaceToBatchLayer.cpp (limited to 'tests/validation/CL/SpaceToBatchLayer.cpp') diff --git a/tests/validation/CL/SpaceToBatchLayer.cpp b/tests/validation/CL/SpaceToBatchLayer.cpp new file mode 100644 index 0000000000..63d4022d08 --- /dev/null +++ b/tests/validation/CL/SpaceToBatchLayer.cpp @@ -0,0 +1,161 @@ +/* + * 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/CLSpaceToBatchLayer.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/datasets/SpaceToBatchDataset.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/SpaceToBatchFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(CL) +TEST_SUITE(SpaceToBatchLayer) + +template +using CLSpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture; + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallSpaceToBatchLayerDataset(), + framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), + input_shape, block_shape_shape, paddings_shape, output_shape, dt) +{ + // Create tensors + CLTensor src = create_tensor(input_shape, dt, 1); + CLTensor dst = create_tensor(output_shape, dt, 1); + CLTensor block_shape = create_tensor(block_shape_shape, DataType::S32, 1); + CLTensor paddings = create_tensor(paddings_shape, DataType::S32, 1); + + // Create and Configure function + CLSpaceToBatchLayer batch_to_space; + batch_to_space.configure(&src, &block_shape, &paddings, &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(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("PaddingsShapeInfo",{ 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, paddings_info, output_info, expected) +{ + bool has_error = bool(CLSpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &paddings_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(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 + TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong paddings + }), + framework::dataset::make("BlockShapeX", { 2, 2, 2, 2, 2 })), + framework::dataset::make("BlockShapeY", { 2, 2, -2, 2, 2 })), + framework::dataset::make("PadLeft", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), + framework::dataset::make("PadRight", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })), + 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), + TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, false, false, false, false})), + input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected) +{ + bool has_error = bool(CLSpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, padding_left, padding_right, &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(Small, CLSpaceToBatchLayerFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // FP32 + +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // FP16 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // SpaceToBatch +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1