/*
 * Copyright (c) 2017-2020 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * 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,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#ifndef ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE
#define ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_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/reference/ActivationLayer.h"
#include "tests/validation/reference/PixelWiseMultiplication.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationGenericValidationFixture : public framework::Fixture
{
public:
    template <typename...>
    void setup(const TensorShape &shape0,
               const TensorShape &shape1,
               DataType            dt_in1,
               DataType            dt_in2,
               DataType            dt_out,
               float               scale,
               ConvertPolicy       convert_policy,
               RoundingPolicy      rounding_policy,
               QuantizationInfo    qinfo0,
               QuantizationInfo    qinfo1,
               QuantizationInfo    qinfo_out,
               ActivationLayerInfo act_info,
               bool                is_inplace)
    {
        _is_inplace = is_inplace;
        _target     = compute_target(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
        _reference  = compute_reference(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
    }

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

    TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
                              float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                              QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
    {
        // Create tensors
        TensorType src1 = create_tensor<TensorType>(shape0, dt_in1, 1, qinfo0);
        TensorType src2 = create_tensor<TensorType>(shape1, dt_in2, 1, qinfo1);
        TensorType dst  = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), dt_out, 1, qinfo_out);

        auto allocate_tensor = [](TensorType & t)
        {
            ARM_COMPUTE_EXPECT(t.info()->is_resizable(), framework::LogLevel::ERRORS);
            t.allocator()->allocate();
            ARM_COMPUTE_EXPECT(!t.info()->is_resizable(), framework::LogLevel::ERRORS);
        };

        // Create and configure function
        FunctionType multiply;
        multiply.configure(&src1, &src2, (_is_inplace ? &src1 : &dst), scale, convert_policy, rounding_policy, act_info);

        allocate_tensor(src1);
        allocate_tensor(src2);

        if(!_is_inplace)
        {
            allocate_tensor(dst);
        }

        // Fill tensors
        fill(AccessorType(src1), 0);
        fill(AccessorType(src2), 1);

        // Compute function
        multiply.run();

        if(_is_inplace)
        {
            return src1;
        }

        return dst;
    }

    SimpleTensor<T3> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
                                       float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                                       QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
    {
        // Create reference
        SimpleTensor<T1> src1{ shape0, dt_in1, 1, qinfo0 };
        SimpleTensor<T2> src2{ shape1, dt_in2, 1, qinfo1 };

        // current in-place implementation only supports same metadata of input and output tensors.
        // By ignoring output quantization information here, we can make test cases implementation much simpler.
        QuantizationInfo output_qinfo = _is_inplace ? qinfo0 : qinfo_out;

        // Fill reference
        fill(src1, 0);
        fill(src2, 1);

        auto result = reference::pixel_wise_multiplication<T1, T2, T3>(src1, src2, scale, convert_policy, rounding_policy, dt_out, output_qinfo);
        return act_info.enabled() ? reference::activation_layer(result, act_info, output_qinfo) : result;
    }

    TensorType       _target{};
    SimpleTensor<T3> _reference{};
    bool             _is_inplace{ false };
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
    template <typename...>
    void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
                                                                                                                   QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
    }
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationBroadcastValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
    template <typename...>
    void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
               bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
                                                                                                                   QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
    }
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class PixelWiseMultiplicationValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
    template <typename...>
    void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, ActivationLayerInfo act_info, bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, shape, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
                                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
    }
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class PixelWiseMultiplicationBroadcastValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
    template <typename...>
    void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
               ActivationLayerInfo act_info, bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape0, shape1, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
                                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
    }
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
    template <typename...>
    void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
               QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
                                                                                                                   qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
    }
};

template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationBroadcastValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
    template <typename...>
    void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
               QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
    {
        PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
                                                                                                                   qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
    }
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE */
