public static NDArray matmul(NDArray x, NDArray y) => BackendFactory.GetEngine().MatMul(x, y);
/// <summary> /// Matrix or vector product between given NDArray and 2nd one. /// if both NDArrays are 1D, scalar product is returned independend of shape /// if both NDArrays are 2D matrix product is returned. /// </summary> /// <param name="x"></param> /// <param name="y"></param> /// <returns></returns> public static NDArray dot(NDArray x, NDArray y) => BackendFactory.GetEngine().Dot(x, y);
/// <summary> /// Sum of array elements over a given axis. /// </summary> /// <param name="x"></param> /// <param name="axis"></param> /// <returns></returns> public static NDArray sum(NDArray x, int?axis = null) => BackendFactory.GetEngine().Sum(x, axis: axis);
/// <summary> /// Test whether all array elements along a given axis evaluate to True. /// </summary> /// <param name="nd"></param> /// <param name="axis"></param> /// <returns>Returns an array of bools</returns> public static NDArray <bool> all(NDArray nd, int axis) => BackendFactory.GetEngine().All(nd, axis);
/// <summary>
/// Constructor for init data type
/// internal storage is 1D with 1 element
/// </summary>
/// <param name="dtype">Data type of elements</param>
public NDArray(Type dtype)
{
TensorEngine = BackendFactory.GetEngine();
Storage = BackendFactory.GetStorage(dtype);
}
public static NDArray divide(NDArray x, NDArray y) => BackendFactory.GetEngine().Divide(x, y);
public static NDArray ndarray(Shape shape, Type dtype = null, Array buffer = null, char order = 'F') => BackendFactory.GetEngine().CreateNDArray(shape, dtype: dtype, buffer: buffer, order: order);
/// <summary> /// Test element-wise for finiteness (not infinity or not Not a Number). /// </summary> /// <param name="a"></param> /// <returns>The result is returned as a boolean array.</returns> public static NDArray <bool> isfinite(NDArray a) => BackendFactory.GetEngine().IsFinite(a);
/// <summary>
/// Returns a boolean array where two arrays are element-wise equal within a
/// tolerance.
/// The tolerance values are positive, typically very small numbers.The
/// relative difference (`rtol` * abs(`b`)) and the absolute difference
/// `atol` are added together to compare against the absolute difference
/// between `a` and `b`.
/// Warning: The default `atol` is not appropriate for comparing numbers
/// that are much smaller than one(see Notes).
///
/// See also <seealso cref="allclose"/>
///
///Notes:
/// For finite values, isclose uses the following equation to test whether
/// two floating point values are equivalent.
/// <code>absolute(`a` - `b`) less than or equal to (`atol` + `rtol` * absolute(`b`))</code>
/// Unlike the built-in `math.isclose`, the above equation is not symmetric
/// in `a` and `b` -- it assumes `b` is the reference value -- so that
/// `isclose(a, b)` might be different from `isclose(b, a)`. Furthermore,
/// the default value of atol is not zero, and is used to determine what
/// small values should be considered close to zero.The default value is
/// appropriate for expected values of order unity: if the expected values
/// are significantly smaller than one, it can result in false positives.
/// `atol` should be carefully selected for the use case at hand. A zero value
/// for `atol` will result in `False` if either `a` or `b` is zero.
/// </summary>
/// <param name="a">Input array to compare with b</param>
/// <param name="b">Input array to compare with a.</param>
/// <param name="rtol">The relative tolerance parameter(see Notes)</param>
/// <param name="atol">The absolute tolerance parameter(see Notes)</param>
/// <param name="equal_nan">Whether to compare NaN's as equal. If True, NaN's in `a` will be
///considered equal to NaN's in `b` in the output array.</param>
///<returns>
/// Returns a boolean array of where `a` and `b` are equal within the
/// given tolerance.If both `a` and `b` are scalars, returns a single
/// boolean value.
///</returns>
public static NDArray <bool> isclose(NDArray a, NDArray b, double rtol = 1.0E-5, double atol = 1.0E-8,
bool equal_nan = false)
=> BackendFactory.GetEngine().IsClose(a, b, rtol, atol, equal_nan);
/// <summary> /// Test element-wise for Not a Number. /// </summary> /// <param name="a"></param> /// <returns>The result is returned as a boolean array.</returns> public static NDArray <bool> isnan(NDArray a) => BackendFactory.GetEngine().IsNan(a);
/// <summary> /// Test whether all array elements evaluate to True. /// </summary> /// <param name="nd"></param> /// <returns></returns> public static bool all(NDArray nd) => BackendFactory.GetEngine().All(nd);
