tests/validation/fixtures/WeightsReshapeFixture.h

/*
 * Copyright (c) 2018-2021, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * 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.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#ifndef ARM_COMPUTE_TEST_WEIGHTS_RESHAPE_FIXTURE
#define ARM_COMPUTE_TEST_WEIGHTS_RESHAPE_FIXTURE

#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/Tensor.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/reference/WeightsReshape.h"

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

template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class WeightsReshapeOpValidationFixture : public framework::Fixture
{
public:
    void setup(TensorShape input_shape, DataType data_type, bool has_bias, unsigned int num_groups)
    {
        const TensorShape output_shape = compute_weights_reshaped_shape(TensorInfo(input_shape, 1, data_type), has_bias, num_groups);

        _target    = compute_target(input_shape, output_shape, has_bias, num_groups, data_type);
        _reference = compute_reference(input_shape, output_shape, has_bias, num_groups, data_type);
    }

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

    TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, const bool has_bias, const unsigned int num_groups, DataType data_type)
    {
        // Create tensors
        TensorType src  = create_tensor<TensorType>(input_shape, data_type);
        TensorType bias = create_tensor<TensorType>(TensorShape(input_shape[3]), data_type);
        TensorType dst  = create_tensor<TensorType>(output_shape, data_type);

        // Create and configure function
        FunctionType weights_reshape_func;
        weights_reshape_func.configure(src.info(), (has_bias ? bias.info() : nullptr), dst.info(), num_groups);

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

        // 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), 0);

        if(has_bias)
        {
            ARM_COMPUTE_ASSERT(bias.info()->is_resizable());

            bias.allocator()->allocate();

            ARM_COMPUTE_ASSERT(!bias.info()->is_resizable());

            fill(AccessorType(bias), 1);
        }

        arm_compute::ITensorPack pack =
        {
            { arm_compute::TensorType::ACL_SRC, &src },
            { arm_compute::TensorType::ACL_DST, &dst }
        };

        if(has_bias)
        {
            pack.add_const_tensor(arm_compute::TensorType::ACL_BIAS, &bias);
        }
        // Compute function
        weights_reshape_func.run(pack);

        return dst;
    }

    SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, const bool has_bias, const unsigned int num_groups, DataType data_type)
    {
        // Create reference
        SimpleTensor<T> src{ input_shape, data_type };
        SimpleTensor<T> bias{ TensorShape(has_bias ? input_shape[3] : 0), data_type };

        // Fill reference
        fill(src, 0);
        if(has_bias)
        {
            fill(bias, 1);
        }

        return reference::weights_reshape(src, bias, output_shape, num_groups);
    }

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