dpnp.matmul

dpnp.matmul(x1, x2, out=None, **kwargs)[source]

Matrix product of two arrays.

For full documentation refer to numpy.matmul.

Limitations

Input arrays are supported as dpnp.ndarray. Otherwise the function will be executed sequentially on CPU. Parameter out is supported as dpnp.ndarray and as default value None. Input array data types are limited by supported DPNP Data types.

See also

dpnp.vdot: Complex-conjugating dot product.
dpnp.tensordot: Sum products over arbitrary axes.
dpnp.einsum: Einstein summation convention.
dpnp.dot: Alternative matrix product with different broadcasting rules.

Examples

>>> import dpnp as np
>>> a = np.ones([9, 5, 7, 4])
>>> c = np.ones([9, 5, 4, 3])
>>> np.matmul(a, c).shape
(9, 5, 7, 3)
>>> a = np.array([[1, 0], [0, 1]])
>>> b = np.array([[4, 1], [2, 2]])
>>> np.matmul(a, b)
array([[4, 1],
       [2, 2]])