tests/validation/fixtures/GEMMReshapeRHSMatrixFixture.h

/*
 * Copyright (c) 2018-2021, 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
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 *
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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_GEMMRESHAPERHSMATRIX_FIXTURE
#define ARM_COMPUTE_TEST_GEMMRESHAPERHSMATRIX_FIXTURE

#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.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/GEMMReshapeRHSMatrix.h"
#include "tests/validation/reference/Utils.h"

#include <random>

namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::misc::shape_calculator;

template <typename TensorType, typename AccessorType, typename OperatorType, typename T>
class GEMMReshapeRHSMatrixValidationFixture : public framework::Fixture
{
public:
    void setup(TensorShape shape_in, unsigned int batch_size, DataType data_type, unsigned int n0, unsigned int k0, unsigned int h0, bool interleave, bool transpose)
    {
        GEMMRHSMatrixInfo rhs_info;
        rhs_info.n0         = n0;
        rhs_info.k0         = k0;
        rhs_info.h0         = h0;
        rhs_info.interleave = interleave;
        rhs_info.transpose  = transpose;

        // Set the tensor shape
        const TensorShape shape_src(shape_in[0],
                                    shape_in[1],
                                    batch_size);

        _target    = compute_target(shape_src, data_type, rhs_info);
        _reference = compute_reference(shape_src, data_type, rhs_info);
    }

protected:
    template <typename U>
    void fill(U &&tensor)
    {
        library->fill_tensor_uniform(tensor, 0);
    }

    TensorType compute_target(TensorShape input_shape, DataType data_type, const GEMMRHSMatrixInfo &rhs_info)
    {
        // Create tensors
        TensorType src = create_tensor<TensorType>(input_shape, data_type, 1);
        TensorType dst;

        // The output tensor will be auto-initialized within the function

        // Create and configure function
        OperatorType gemm_rhs_reshape;
        gemm_rhs_reshape.configure(src.info(), dst.info(), rhs_info);

        ARM_COMPUTE_ASSERT(src.info()->is_resizable());

        add_padding_x({ &src, &dst });

        // Allocate tensors
        src.allocator()->allocate();
        dst.allocator()->allocate();

        ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
        ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());

        // Fill tensors
        fill(AccessorType(src));

        // Compute GEMM RHS matrix reshape function
        ITensorPack tensors = { { ACL_SRC, &src }, { ACL_DST, &dst } };
        gemm_rhs_reshape.run(tensors);

        return dst;
    }

    SimpleTensor<T> compute_reference(const TensorShape &input_shape, DataType data_type, const GEMMRHSMatrixInfo &rhs_info)
    {
        // Create reference
        SimpleTensor<T> src{ input_shape, data_type, 1 };

        // Fill reference
        fill(src);

        TensorShape output_shape = compute_rhs_reshaped_shape(TensorInfo(input_shape, 1, data_type), rhs_info);

        return reference::gemm_reshape_rhs_matrix<T>(src, output_shape, rhs_info);
    }

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