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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
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#ifndef ROCALUTION_HIP_RAND_UNIFORM_HPP_
#define ROCALUTION_HIP_RAND_UNIFORM_HPP_

#include "hip_rand.hpp"
#include <hip/hip_runtime.h>
#include <rocrand.hpp>

namespace rocalution
{
    //
    // Implementation of a uniform distribution using rocRAND.
    //
    template <typename T>
    class HIPRandUniform_rocRAND;

    template <typename T>
    struct CRTP_HIPRand_Traits<HIPRandUniform_rocRAND<T>>
    {
        using data_t = T;
    };

    template <typename T>
    class HIPRandUniform_rocRAND : public CRTP_HIPRand<HIPRandUniform_rocRAND<T>>
    {
    protected:
        using value_type = typename numeric_traits<T>::value_type;
        value_type                                         m_a, m_b;
        rocrand_cpp::mtgp32_engine<0UL>                    m_engine;
        rocrand_cpp::uniform_real_distribution<value_type> m_distribution;
        int                                                m_hip_block_size;

    public:
        inline HIPRandUniform_rocRAND(unsigned long long seed,
                                      value_type         a,
                                      value_type         b,
                                      int                hip_block_size)
            : m_a(a)
            , m_b(b)
            , m_engine(seed)
            , m_hip_block_size(hip_block_size){};

        inline void Generate(T* data, size_t size)
        {
            if(size > 0)
            {
                assert(0 == sizeof(T) % sizeof(value_type));
                const int n = sizeof(T) / sizeof(value_type);

                //
                // Get the uniform distribution between 0 and 1.
                //
                this->m_distribution(this->m_engine, ((value_type*)data), size * n);

                //
                // Apply the affine transformation.
                //
                if((this->m_a != static_cast<value_type>(0))
                   || (this->m_b != static_cast<value_type>(1)))
                {
                    dim3 BlockSize(m_hip_block_size);
                    dim3 GridSize((size * n) / m_hip_block_size + 1);

                    hipLaunchKernelGGL((kernel_affine_transform),
                                       GridSize,
                                       BlockSize,
                                       0,
                                       0,
                                       size * n,
                                       this->m_a,
                                       this->m_b,
                                       (value_type*)data);

                    CHECK_HIP_ERROR(__FILE__, __LINE__);
                }
            }
        };
    };

} // namespace rocalution

#endif // ROCALUTION_BASE_VECTOR_HPP_