// Copyright (c) 2017-2021 Advanced Micro Devices, Inc. All rights reserved.
//
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// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
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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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// THE SOFTWARE.

#include <stdio.h>
#include <gtest/gtest.h>

#include <vector>
#include <cmath>

#include <hip/hip_runtime.h>

#define FQUALIFIERS __forceinline__ __host__ __device__
#include <rocrand/rocrand_kernel.h>
#include <rocrand/rocrand.h>

#include "test_common.hpp"
#include "test_rocrand_common.hpp"

template <class GeneratorState>
__global__
__launch_bounds__(32)
void rocrand_init_kernel(GeneratorState * states,
                         const size_t states_size,
                         unsigned long long seed,
                         unsigned long long offset)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int subsequence = state_id;
    if(state_id < states_size)
    {
        GeneratorState state;
        rocrand_init(seed, subsequence, offset, &state);
        states[state_id] = state;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(32)
void rocrand_kernel(unsigned int * output, const size_t size)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(0, subsequence, 0, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        output[index] = rocrand(&state);
        index += global_size;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(32)
void rocrand_uniform_kernel(float * output, const size_t size)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(0, subsequence, 0, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        if(state_id % 4 == 0)
            output[index] = rocrand_uniform4(&state).x;
        else if(state_id % 2 == 0)
            output[index] = rocrand_uniform2(&state).x;
        else
            output[index] = rocrand_uniform(&state);
        index += global_size;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(32)
void rocrand_normal_kernel(float * output, const size_t size)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(0, subsequence, 0, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        if(state_id % 4 == 0)
            output[index] = rocrand_normal4(&state).x;
        else if(state_id % 2 == 0)
            output[index] = rocrand_normal2(&state).x;
        else
            output[index] = rocrand_normal(&state);
        index += global_size;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(32)
void rocrand_log_normal_kernel(float * output, const size_t size)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(0, subsequence, 0, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        if(state_id % 4 == 0)
            output[index] = rocrand_log_normal4(&state, 1.6f, 0.25f).x;
        else if(state_id % 2 == 0)
            output[index] = rocrand_log_normal2(&state, 1.6f, 0.25f).x;
        else
            output[index] = rocrand_log_normal(&state, 1.6f, 0.25f);
        index += global_size;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(64)
void rocrand_poisson_kernel(unsigned int * output, const size_t size, double lambda)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(456, subsequence, 234ULL, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        output[index] = rocrand_poisson(&state, lambda);
        index += global_size;
    }
}

template <class GeneratorState>
__global__
__launch_bounds__(64)
void rocrand_discrete_kernel(unsigned int * output, const size_t size, rocrand_discrete_distribution discrete_distribution)
{
    const unsigned int state_id = hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x;
    const unsigned int global_size = hipGridDim_x * hipBlockDim_x;

    GeneratorState state;
    const unsigned int subsequence = state_id;
    rocrand_init(456, subsequence, 234ULL, &state);

    unsigned int index = state_id;
    while(index < size)
    {
        output[index] = rocrand_discrete(&state, discrete_distribution);
        index += global_size;
    }
}

TEST(rocrand_kernel_philox4x32_10, rocrand_state_philox4x32_10_type)
{
    EXPECT_EQ(sizeof(rocrand_state_philox4x32_10), 16 * sizeof(float));
    EXPECT_EQ(sizeof(rocrand_state_philox4x32_10[32]), 32 * sizeof(rocrand_state_philox4x32_10));
}

TEST(rocrand_kernel_philox4x32_10, rocrand_init)
{
    // Just get access to internal state
    class rocrand_state_philox4x32_10_test : public rocrand_state_philox4x32_10
    {
        typedef rocrand_state_philox4x32_10::philox4x32_10_state internal_state_type;

    public:

        __host__ rocrand_state_philox4x32_10_test() {}

        __host__ internal_state_type internal_state() const
        {
            return m_state;
        }
    };

    typedef rocrand_state_philox4x32_10 state_type;
    typedef rocrand_state_philox4x32_10_test state_type_test;

    unsigned long long seed = 0xdeadbeefbeefdeadULL;
    unsigned long long offset = 4 * ((UINT_MAX * 17ULL) + 17);

    const size_t states_size = 256;
    state_type * states;
    HIP_CHECK(hipMallocHelper((void **)&states, states_size * sizeof(state_type)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_init_kernel),
        dim3(8), dim3(32), 0, 0,
        states, states_size,
        seed, offset
    );
    HIP_CHECK(hipGetLastError());

    std::vector<state_type_test> states_host(states_size);
    HIP_CHECK(
        hipMemcpy(
            states_host.data(), states,
            states_size * sizeof(state_type),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(states));

    unsigned int subsequence = 0;
    for(auto& state : states_host)
    {
        auto s = state.internal_state();
        EXPECT_EQ(s.key.x, 0xbeefdeadU);
        EXPECT_EQ(s.key.y, 0xdeadbeefU);

        EXPECT_EQ(s.counter.x, 0U);
        EXPECT_EQ(s.counter.y, 17U);
        EXPECT_EQ(s.counter.z, subsequence);
        EXPECT_EQ(s.counter.w, 0U);

        EXPECT_TRUE(
            s.result.x != 0U
            || s.result.y != 0U
            || s.result.z != 0U
            || s.result.w
        );

        EXPECT_EQ(s.substate, 0U);

        subsequence++;
    }
}

TEST(rocrand_kernel_philox4x32_10, rocrand)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const size_t output_size = 8192;
    unsigned int * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(unsigned int)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_kernel<state_type>),
        dim3(8), dim3(32), 0, 0,
        output, output_size
    );
    HIP_CHECK(hipGetLastError());

    std::vector<unsigned int> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(unsigned int),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v) / UINT_MAX;
    }
    mean = mean / output_size;
    EXPECT_NEAR(mean, 0.5, 0.1);
}

TEST(rocrand_kernel_philox4x32_10, rocrand_uniform)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const size_t output_size = 8192;
    float * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(float)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_uniform_kernel<state_type>),
        dim3(8), dim3(32), 0, 0,
        output, output_size
    );
    HIP_CHECK(hipGetLastError());

    std::vector<float> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(float),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v);
    }
    mean = mean / output_size;
    EXPECT_NEAR(mean, 0.5, 0.1);
}

TEST(rocrand_kernel_philox4x32_10, rocrand_normal)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const size_t output_size = 8192;
    float * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(float)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_normal_kernel<state_type>),
        dim3(8), dim3(32), 0, 0,
        output, output_size
    );
    HIP_CHECK(hipGetLastError());

    std::vector<float> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(float),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v);
    }
    mean = mean / output_size;
    EXPECT_NEAR(mean, 0.0, 0.2);

    double stddev = 0;
    for(auto v : output_host)
    {
        stddev += std::pow(static_cast<double>(v) - mean, 2);
    }
    stddev = stddev / output_size;
    EXPECT_NEAR(stddev, 1.0, 0.2);
}

TEST(rocrand_kernel_philox4x32_10, rocrand_log_normal)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const size_t output_size = 8192;
    float * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(float)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_log_normal_kernel<state_type>),
        dim3(8), dim3(32), 0, 0,
        output, output_size
    );
    HIP_CHECK(hipGetLastError());

    std::vector<float> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(float),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v);
    }
    mean = mean / output_size;

    double stddev = 0;
    for(auto v : output_host)
    {
        stddev += std::pow(v - mean, 2);
    }
    stddev = std::sqrt(stddev / output_size);

    double logmean = std::log(mean * mean / std::sqrt(stddev + mean * mean));
    double logstd = std::sqrt(std::log(1.0f + stddev/(mean * mean)));

    EXPECT_NEAR(1.6, logmean, 1.6 * 0.2);
    EXPECT_NEAR(0.25, logstd, 0.25 * 0.2);
}

class rocrand_kernel_philox4x32_10_poisson : public ::testing::TestWithParam<double> { };

TEST_P(rocrand_kernel_philox4x32_10_poisson, rocrand_poisson)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const double lambda = GetParam();

    const size_t output_size = 8192;
    unsigned int * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(unsigned int)));
    HIP_CHECK(hipDeviceSynchronize());

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_poisson_kernel<state_type>),
        dim3(4), dim3(64), 0, 0,
        output, output_size, lambda
    );
    HIP_CHECK(hipGetLastError());

    std::vector<unsigned int> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(unsigned int),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v);
    }
    mean = mean / output_size;

    double variance = 0;
    for(auto v : output_host)
    {
        variance += std::pow(v - mean, 2);
    }
    variance = variance / output_size;

    EXPECT_NEAR(mean, lambda, std::max(1.0, lambda * 1e-1));
    EXPECT_NEAR(variance, lambda, std::max(1.0, lambda * 1e-1));
}

TEST_P(rocrand_kernel_philox4x32_10_poisson, rocrand_discrete)
{
    typedef rocrand_state_philox4x32_10 state_type;

    const double lambda = GetParam();

    const size_t output_size = 8192;
    unsigned int * output;
    HIP_CHECK(hipMallocHelper((void **)&output, output_size * sizeof(unsigned int)));
    HIP_CHECK(hipDeviceSynchronize());

    rocrand_discrete_distribution discrete_distribution;
    ROCRAND_CHECK(rocrand_create_poisson_distribution(lambda, &discrete_distribution));

    hipLaunchKernelGGL(
        HIP_KERNEL_NAME(rocrand_discrete_kernel<state_type>),
        dim3(4), dim3(64), 0, 0,
        output, output_size, discrete_distribution
    );
    HIP_CHECK(hipGetLastError());

    std::vector<unsigned int> output_host(output_size);
    HIP_CHECK(
        hipMemcpy(
            output_host.data(), output,
            output_size * sizeof(unsigned int),
            hipMemcpyDeviceToHost
        )
    );
    HIP_CHECK(hipDeviceSynchronize());
    HIP_CHECK(hipFree(output));
    ROCRAND_CHECK(rocrand_destroy_discrete_distribution(discrete_distribution));

    double mean = 0;
    for(auto v : output_host)
    {
        mean += static_cast<double>(v);
    }
    mean = mean / output_size;

    double variance = 0;
    for(auto v : output_host)
    {
        variance += std::pow(v - mean, 2);
    }
    variance = variance / output_size;

    EXPECT_NEAR(mean, lambda, std::max(1.0, lambda * 1e-1));
    EXPECT_NEAR(variance, lambda, std::max(1.0, lambda * 1e-1));
}

const double lambdas[] = { 1.0, 5.5, 20.0, 100.0, 1234.5, 5000.0 };

INSTANTIATE_TEST_SUITE_P(rocrand_kernel_philox4x32_10_poisson,
                        rocrand_kernel_philox4x32_10_poisson,
                        ::testing::ValuesIn(lambdas));