tests/validation/fixtures/GEMMInterleave4x4Fixture.h

/*
 * Copyright (c) 2017-2021, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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 * 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.
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 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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#ifndef ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_FIXTURE
#define ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_FIXTURE

#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/GEMMInterleave4x4.h"

#include <random>

namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class GEMMInterleave4x4ValidationFixture : public framework::Fixture
{
public:
    void setup(size_t x, size_t y, DataType data_type)
    {
        _data_type = data_type;
        const TensorShape shape_a(x, y);
        const TensorShape shape_b(static_cast<size_t>(x * 4.f), static_cast<size_t>(std::ceil(y / 4.f)));
        _target    = compute_target(shape_a, shape_b, data_type);
        _reference = compute_reference(shape_a, shape_b, data_type);
    }

protected:
    template <typename U>
    void fill(U &&tensor, int i)
    {
        switch(tensor.data_type())
        {
            case DataType::F16:
            {
                arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
                library->fill(tensor, distribution, i);
                break;
            }
            case DataType::F32:
            {
                std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
                library->fill(tensor, distribution, i);
                break;
            }
            default:
                library->fill_tensor_uniform(tensor, i);
                break;
        }
    }

    TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
    {
        // Create tensors
        TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
        TensorType b = create_tensor<TensorType>(shape_b, data_type, 1);

        // Create and configure function
        FunctionType f;
        f.configure(a.info(), b.info());

        ARM_COMPUTE_ASSERT(a.info()->is_resizable());
        ARM_COMPUTE_ASSERT(b.info()->is_resizable());

        // Allocate tensors
        a.allocator()->allocate();
        b.allocator()->allocate();

        ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
        ARM_COMPUTE_ASSERT(!b.info()->is_resizable());

        // Fill tensors
        fill(AccessorType(a), 0);
        fill(AccessorType(b), 0);

        // Compute GEMM interleave kernel
        ITensorPack tensors{ { ACL_SRC, &a }, { ACL_DST, &b } };
        f.run(tensors);
        return b;
    }

    SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
    {
        // Create reference
        SimpleTensor<T> a{ shape_a, data_type, 1 };
        SimpleTensor<T> b{ shape_b, data_type, 1 };

        // Fill reference
        fill(a, 0);
        fill(b, 0);

        return reference::gemm_interleave_4x4<T>(a, b);
    }

    TensorType      _target{};
    SimpleTensor<T> _reference{};
    DataType        _data_type{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_FIXTURE */