tests/validation/CL/DequantizationLayer.cpp

/*
 * Copyright (c) 2017-2019 Arm Limited.
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 * SPDX-License-Identifier: MIT
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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/CLDequantizationLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/DatatypeDataset.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/DequantizationLayerFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto dataset_quant_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
                                               framework::dataset::make("DataType", DataType::F32)),
                                       framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
                                               framework::dataset::make("DataType", DataType::F16)),
                                       framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_per_channel_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
                                                           framework::dataset::make("DataType", DataType::F32)),
                                                   framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_per_channel_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
                                                           framework::dataset::make("DataType", DataType::F16)),
                                                   framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
                                                       framework::dataset::make("DataType", DataType::F32)),
                                               framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
                                                       framework::dataset::make("DataType", DataType::F16)),
                                               framework::dataset::make("DataLayout", { DataLayout::NCHW }));
const auto dataset_quant_per_channel_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
                                                                   framework::dataset::make("DataType", DataType::F32)),
                                                           framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
const auto dataset_quant_per_channel_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
                                                                   framework::dataset::make("DataType", DataType::F16)),
                                                           framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
} // namespace
TEST_SUITE(CL)
TEST_SUITE(DequantizationLayer)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),      // Wrong input data type
                                                       TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),  // Wrong output data type
                                                       TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8),   // Missmatching shapes
                                                       TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8),  // Valid
                                                       TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),  // Valid
                                                     }),
               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8),
                                                       TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
                                                     })),
               framework::dataset::make("Expected", { false, false, false, true, true})),
               input_info, output_info, expected)
{
    ARM_COMPUTE_EXPECT(bool(CLDequantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*

DATA_TEST_CASE(Configuration,
               framework::DatasetMode::ALL,
               combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
               shape, data_type)
{
    // Create tensors
    CLTensor src = create_tensor<CLTensor>(shape, DataType::QASYMM8, 1, QuantizationInfo(0.5f, -10));
    CLTensor dst = create_tensor<CLTensor>(shape, data_type);

    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

    // Create and configure function
    CLDequantizationLayer dequant_layer;
    dequant_layer.configure(&src, &dst);

    // Validate valid region
    const ValidRegion valid_region = shape_to_valid_region(shape);
    validate(src.info()->valid_region(), valid_region);
    validate(dst.info()->valid_region(), valid_region);

    // Validate padding
    validate(src.info()->padding(), PaddingSize());
    validate(dst.info()->padding(), PaddingSize());
}

template <typename T>
using CLDequantizationLayerFixture = DequantizationValidationFixture<CLTensor, CLAccessor, CLDequantizationLayer, T>;

TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, concat(dataset_quant_f16, dataset_quant_per_channel_f16))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, concat(dataset_quant_nightly_f16, dataset_quant_per_channel_nightly_f16))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP16

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, concat(dataset_quant_f32, dataset_quant_per_channel_f32))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, concat(dataset_quant_nightly_f32, dataset_quant_per_channel_nightly_f32))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP32

TEST_SUITE_END() // DequantizationLayer
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute