170 lines
11 KiB
C++
170 lines
11 KiB
C++
/*
|
|
* Copyright (c) 2018-2020 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 <typename T>
|
|
using CLSpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
|
|
|
|
// *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
|
|
|
|
template <typename T>
|
|
using CLSpaceToBatchLayerQuantizedFixture = SpaceToBatchLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
|
|
|
|
TEST_SUITE(Quantized)
|
|
TEST_SUITE(QASYMM8)
|
|
FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8
|
|
TEST_SUITE_END() // Quantized
|
|
TEST_SUITE_END() // SpaceToBatch
|
|
TEST_SUITE_END() // CL
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|