/*
 * Copyright (c) 2019-2020, NVIDIA CORPORATION.  All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the
 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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 */

#ifndef TT2I_RANDOMTENSOR_H
#define TT2I_RANDOMTENSOR_H

#include "random.h"

#include "cuda_runtime.h"

#include <stdint.h>

namespace tts
{

class NormalDistribution
{
public:
    /**
     * @brief Create a new NormalDistribution with the given seed.
     *
     * @param numStates The number of states in the distribution.
     * @param seed The seed to initialize with.
     */
    NormalDistribution(int numStates, uint32_t seed);

    /**
     * @brief Set the seed the distribution asynchronously.
     *
     * @param seed The seed.
     * @param stream The stream to operate on.
     */
    void setSeed(uint32_t seed, cudaStream_t stream);

    /**
     * @brief Generate a normal distribution (0.0, 1.0).
     *
     * @param outValues The output values.
     * @param numValues The number of values.
     * @param stream The stream to use.
     */
    void generate(float* outValues, int numValues, cudaStream_t stream);

private:
    Random mRand;
};

} // namespace tts

#endif
