tests/validation/CL/RsqrtLayer.cpp

/*
 * Copyright (c) 2018-2019, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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 * of this software and associated documentation files (the "Software"), to
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 * furnished to do so, subject to the following conditions:
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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/functions/CLElementwiseUnaryLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.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/ElementwiseUnaryFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float>             tolerance_fp32(0.000001f);
RelativeTolerance<float>             tolerance_fp16(0.001f);
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);   /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric type */
constexpr AbsoluteTolerance<int8_t>  tolerance_qasymm8_s(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric type */

} // namespace
TEST_SUITE(CL)
TEST_SUITE(RsqrtLayer)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching data types
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Valid
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                     }),
               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
                                                     })),
               framework::dataset::make("Expected", { false, true, false })),
               input_info, output_info, expected)
{
    ARM_COMPUTE_EXPECT(bool(CLRsqrtLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using CLRsqrtLayerFixture = RsqrtValidationFixture<CLTensor, CLAccessor, CLRsqrtLayer, T>;
template <typename T>
using CLRsqrtLayerQuantizedFixture = RsqrtQuantizedValidationFixture<CLTensor, CLAccessor, CLRsqrtLayer, T>;

TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                       DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_fp16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                     DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_fp16);
}

TEST_SUITE_END() // FP16
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                        DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLRsqrtLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                      DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_fp32);
}

TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float

TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                                  DataType::QASYMM8_SIGNED)),
                                                                                                                  framework::dataset::make("SrcQInfo", { QuantizationInfo(0.4044, -128) })),
                                                                                                                  framework::dataset::make("OutQInfo", { QuantizationInfo(0.0027, -128) })))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_qasymm8_s);
}
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE(QASYMM8)

FIXTURE_DATA_TEST_CASE(RunSmall, CLRsqrtLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                                   DataType::QASYMM8)),
                                                                                                                   framework::dataset::make("SrcQInfo", { QuantizationInfo(0.4044, 0) })),
                                                                                                                   framework::dataset::make("OutQInfo", { QuantizationInfo(0.0027, 0) })))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE_END() // Quantized

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