dpnp.outer

dpnp.outer(a, b, out=None)

Returns the outer product of two arrays.

For full documentation refer to numpy.outer.

Parameters:

• a ({dpnp.ndarray, usm_ndarray}) -- First input vector. Input is flattened if not already 1-dimensional.

• b ({dpnp.ndarray, usm_ndarray}) -- Second input vector. Input is flattened if not already 1-dimensional.

• out ({None, dpnp.ndarray, usm_ndarray}, optional) -- A location where the result is stored

Returns:

out -- out[i, j] = a[i] * b[j]

Return type:

dpnp.ndarray

See also

dpnp.einsum

Evaluates the Einstein summation convention on the operands.

dpnp.inner

Returns the inner product of two arrays.

dpnp.tensordot

dpnp.tensordot(a.ravel(), b.ravel(), axes=((), ())) is the equivalent.

Examples

>>> import dpnp as np
>>> a = np.array([1, 1, 1])
>>> b = np.array([1, 2, 3])
>>> np.outer(a, b)
array([[1, 2, 3],
       [1, 2, 3],
       [1, 2, 3]])