public void tf_random_uniform()
{
using (var K = new TensorFlowBackend())
{
#region doc_random_uniform
var kvar = K.random_uniform(new int[] { 100, 2000 }, minval: -4, maxval: 2, dtype: DataType.Double, seed: 1337, name: "uni");
var a = K.dtype(kvar); // float64 (Double)
var b = kvar.eval();
#endregion
double[,] actual = (double[, ])b;
Assert.AreEqual(100, actual.Rows());
Assert.AreEqual(2000, actual.Columns());
var u = UniformContinuousDistribution.Estimate(actual.Reshape());
Assert.AreEqual(-4, u.Minimum, 1e-3);
Assert.AreEqual(+2, u.Maximum, 1e-3);
Assert.AreEqual(-1, u.Mean, 1e-2);
}
}