mindspore.numpy.multiply

mindspore.numpy.multiply(x1, x2, dtype=None)[source]

Multiplies arguments element-wise.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported.

Parameters

x1 (Tensor) – input tensor to be multiplied.
x2 (Tensor) – input tensor to be multiplied.
dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, the product of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> x1 = np.full((3, 2), [1, 2])
>>> x2 = np.full((3, 2), [3, 4])
>>> output = np.multiply(x1, x2)
>>> print(output)
[[3 8]
[3 8]
[3 8]]