using System;

using System.Collections.Generic;

using System.Text;

namespace Tensorflow

{

public static partial class tf

{

/// <summary>

/// Outputs random values from a normal distribution.

/// </summary>

/// <param name="shape"></param>

/// <param name="mean"></param>

/// <param name="stddev"></param>

/// <param name="dtype"></param>

/// <param name="seed"></param>

/// <param name="name"></param>

/// <returns></returns>

public static Tensor random_normal(int[] shape,

float mean = 0.0f,

float stddev = 1.0f,

TF_DataType dtype = TF_DataType.TF_FLOAT,

int? seed = null,

string name = null) => random_ops.random_normal(shape, mean, stddev, dtype, seed, name);

public static Tensor random_uniform(int[] shape,

float minval = 0,

float maxval = 1,

TF_DataType dtype = TF_DataType.TF_FLOAT,

int? seed = null,

string name = null) => random_ops.random_uniform(shape, minval, maxval, dtype, seed, name);

public static Tensor truncated_normal(int[] shape,

float mean = 0.0f,

float stddev = 1.0f,

TF_DataType dtype = TF_DataType.TF_FLOAT,

int? seed = null,

string name = null)

=> random_ops.truncated_normal(shape, mean, stddev, dtype, seed, name);

}

}