tests/validation/NEON/GEMM.cpp

/*
 * Copyright (c) 2017-2020 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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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/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEGEMM.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/NEON/Helper.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/LargeGEMMDataset.h"
#include "tests/datasets/SmallGEMMDataset.h"
#include "tests/datasets/TinyGEMMDataset.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/GEMMFixture.h"
#include "tests/validation/fixtures/GEMMInterleave4x4Fixture.h"
#include "tests/validation/fixtures/GEMMTranspose1xWFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr AbsoluteTolerance<float> tolerance_f(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for FP32 data types */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<half_float::half> rel_tolerance_f16(half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for FP16 data types */
const AbsoluteTolerance<float>      abs_tolerance_f16(0.2f);      /**< Absolute tolerance value for comparing reference's output against implementation's output for FP16 data types */
constexpr float                     tolerance_num = 0.07f;        /**< Tolerance number for FP16 data types */
#endif                                                            /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
{
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
    DataType::F16,
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
    DataType::F32,
});

const auto data_interleave = framework::dataset::make("M", 8, 12) * framework::dataset::make("N", 8, 12);
const auto data_transpose  = framework::dataset::make("M", 8, 14) * framework::dataset::make("N", 7, 14);

/** Zero padding test */
bool validate_zero_padding(unsigned int m_value, unsigned int k_value)
{
    const unsigned int M = m_value;
    const unsigned int K = k_value;

    const TensorShape lhs_shape(K, M);
    const TensorShape lhs_shape_reshaped(K * 4, std::ceil(M / 4.0f));

    // Create tensors
    Tensor lhs = create_tensor<Tensor>(lhs_shape, DataType::U32);
    Tensor dst = create_tensor<Tensor>(lhs_shape_reshaped, DataType::U32);

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

    // Validate zero-padding
    NEGEMMInterleave4x4Kernel lhs_reshape;

    lhs_reshape.configure(&lhs, &dst);

    return lhs.info()->padding().empty();
}

} // namespace

TEST_SUITE(NEON)
TEST_SUITE(GEMM)

TEST_SUITE(TRANSPOSE_1XW)
using NEGEMMTranspose1xW        = NESynthetizeFunctionWithZeroConstantBorder<NEGEMMTranspose1xWKernel, 4>;
using NEGEMMTranspose1xWFixture = GEMMTranspose1xWValidationFixture<Tensor, Accessor, NEGEMMTranspose1xW, float>;
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMTranspose1xWFixture, framework::DatasetMode::PRECOMMIT, data_transpose * framework::dataset::make("DataType", DataType::F32))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32

TEST_SUITE_END() // TRANSPOSE_1XW

TEST_SUITE(INTERLEAVE_4X4)
using NEGEMMInterleave4x4 = NESynthetizeFunctionWithZeroConstantBorder<NEGEMMInterleave4x4Kernel, 4>;

DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(
                   framework::dataset::make("M", { 1, 23, 63, 101 }),
                   framework::dataset::make("K", { 1, 47, 29, 27 })),
               m_value, k_value)
{
    bool status = validate_zero_padding(m_value, k_value);
    ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
}

TEST_SUITE(U32)
using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint32_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::U32))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U32

TEST_SUITE(U16)
using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint16_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::U16))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U16

TEST_SUITE(U8)
using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint8_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::QASYMM8))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U8

TEST_SUITE_END() // INTERLEAVE_4X4

//TODO(COMPMID-415): Validate valid region

template <typename T>
using NEGEMMFixture = GEMMValidationFixture<Tensor, Accessor, NEGEMM, T>;

template <typename T>
using NEGEMMFixtureDisabledC = GEMMValidationFixture<Tensor, Accessor, NEGEMM, T, true>;

TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                         framework::dataset::make("ReshapeWeights", { true, false })),
                                                                                                 framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(),
                                                                                                       framework::dataset::make("ReshapeWeights", { true, false })),

                                                                                               framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16);
}
TEST_SUITE_END()
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                          framework::dataset::make("ReshapeWeights", { true, false })),

                                                                                                  framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_f);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(),
                                                                                                        framework::dataset::make("ReshapeWeights", { true, false })),

                                                                                                framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_f);
}
TEST_SUITE(DisabledC)
FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                                   framework::dataset::make("ReshapeWeights", { true, false })),

                                                                                                           framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_f);
}
TEST_SUITE_END()

TEST_SUITE_END()
TEST_SUITE_END()

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