tests/validation/CL/SpaceToBatchLayer.cpp

/*
 * Copyright (c) 2018 ARM Limited.
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 * SPDX-License-Identifier: MIT
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 * The above copyright notice and this permission notice shall be included in all
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#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 <typename T>
using CLSpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;

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<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);
    CLTensor paddings    = create_tensor<CLTensor>(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), 1, DataType::S32),
                                                       TensorInfo(TensorShape(2U), 1, DataType::S32),
                                                       TensorInfo(TensorShape(2U), 1, DataType::F16),
                                                       TensorInfo(TensorShape(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<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
                                                                                                                    DataType::F32)),
                                                                                                            framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
                                                                                                                  DataType::F32)),
                                                                                                          framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP32

TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
                                                                                                                   DataType::F16)),
                                                                                                           framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
                                                                                                                 DataType::F16)),
                                                                                                         framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
    // 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